明星八卦

Dr Harry Agius Harry has research and teaching expertise in various aspects of digital media, games and creative computing. He is the Section Editor for Track 4 (Digital Games, Virtual Reality, and Augmented Reality) of the Multimedia Tools and Applications journal (Springer). He was co-editor of the Handbook of Digital Games (IEEE/Wiley, 2014). Personalisation of digital media and digital games using creative computing techniques, particularly AI-based methods Digital media and digital games Harry has taught a wide variety of subjects in digital media, games and creative computing during his career. His current teaching responsibilities are in the areas of digital experiences, digital futures and emerging technologies, and responsive web development.

Dr Ashraf Ahmed Mohamed Ashraf is a fellow member of the Chartered Institution of Water and Environmental Management, chartered Engineer (CEng), chartered Environmentalist (CEnv), and Chartered Water and Environmental Manager of CIWEM (C.WEM). He has a BSc, Meng from Egypt, and PhD from the University of Manchester, all in Civil Engineering. Before joining academia, he worked in the industry for a short period in reinforced concrete design. Ashraf is currently a Reader at the Department of Civil and Environmental Engineering, 明星八卦. Before joining 明星八卦, he was a lecturer at the School of Natural and Built Environment, Queen’s University Belfast. Ashraf has been involved in research grants totalling more than £9 million as Principal Investigator and Co-Investigator from EU, EPSRC, Newton, Innovate UK, and other sources. Ashraf is the principal investigator at 明星八卦 for the project WE-ACT (€526,864, January 2023 - December 2026) where he leads a team to build a machine learning model for efficient water management in a transboundary river area at central Asia. This Horizon EU project is funded by UKRI through the UKRI Horizon Europe Funding Guarantee. Current research interests include the use of Artificial intelligence and deep learning in solving Civil Engineering problems, especially problems related to Environmental issues, water flow, and the impact of climate change. Ashraf is the developer and course director of the MSc in Water& Environmental Engineering. Externally, he serves as a member of CIWEM accreditation panel and is also an assessor of CEng, and CEnv applications. Deep learning with particular applications to Environmental Engineering problems. Digital Infrastructures. Coastal aquifers management Groundwater Hydrology. Structural Health of Earthfill Dams & Levees. Stochastic modelling. Coastal aquifers management, Machine learning, big data, dams, levees, groundwater hydrology.

Dr Nour Ali Dr Nour Ali is a Reader in the Department of Computer Science at 明星八卦 since June 2017. She currently co-heads the 明星八卦 Software Engineering Lab ( and is the co-Director of Teaching and Learning. She received her PhD in Software Engineering from Universidad Politecnica de Valencia – Spain and has a Major in Computer Science from Bir-Zeit University- Palestine. Before moving to 明星八卦, she was a Principal Lecturer in Software Engineering at University of Brighton and held research fellowships at Lero, the Irish Software Engineering Research Centre and the Politecnico di Milano. She also has been a visiting researcher at Leicester University and Free University of Bolzen. She has been Principal Investigator and member of several research and knowledge transfer projects. Her research focuses on developing software architecture techniques, methods and tools and applying them to different challenging systems and situations such as distributed, mobile and adaptive. She has over 70 publications in journals, books and conferences. Here are links to her publications on dblp and google scholar . She also is a reviewer for top journals and national funding bodies such as EPSRC. She serves in several Programme and Organization Committees of conferences and workshops in her area and has co-edited 4 books. Dr Ali has experience of Higher Education teaching, from undergraduate to MSc level. She has a PG Certificate in Teaching and Learning in Higher Education from the University of Brighton. She is also Fellow of the Higher Education Academy (HEA). Dr Ali’s research interests focus on the usage of software architectural models, techniques and tools for distributed and adaptive systems. I have used different techniques and combined them with software architecture such as Model Driven Engineering, Reverse Engineering, Middleware, Optimization and Machine Learning. Currently, I am working on three main areas: 1) Micro-service software architecture 2) Autonomic architecture in the healthcare domain 3) Mobile Ambients that are self-adaptive. Module Leader: CS3100 Software Project Management Other Modules: CS1005 Computation and Logic, Group Project Level 1 CS307x Level 3 Final Year Project.

Dr Faris Alwzinani Dr Faris Alwzinani is a Lecturer (Assistant Professor) in the Computer Science Department at 明星八卦, where he also received his MSc and PhD in Information Systems. In terms of teaching, Dr Alwzinani is leading Digital Innovation and Strategy Module and has many years of experience in various undergraduate and postgraduate modules. In terms of research, he focuses on Digital transformation and disseminating research findings beyond the academic communities. Digital transformation, digital innovation and disruptive technologies in general. The application of IoT in various contexts, such as smart cities and healthcare monitoring systems. Artificial intelligence (AI) applications for businesses Module Leader: CS5709: Digital Innovation and Strategy (MSc-Level 7) Teaching Contributor to Undergraduate and Postgraduate Modules: CS1701: Group Project (Level 4) CS2003: Usability Engineering (Level 5) CS3072-3605: Computer Science/Business Computing Final-Year Projects (Level 6) CS3608: Social Media (Level 6-Module reviewer) CS2555: Work Placement CS5604: Digital Design Methodologies (MSc-Level 7) Previous Modules Taught: Business Analysis and Process Modelling, Business Integration, and Research Methods.

Dr Anastasia Anagnostou Dr Anastasia Anagnostou is a Senior Lecturer in the Department of Computer Science at 明星八卦 and the co-lead of the Modelling & Simulation Group (MSG). She is also member of the Intelligent Data Analytics (IDA) Group. She holds a PhD in Distributed Modelling & Simulation, an MSc in Telemedicine and e-Health Systems and a BSc(Hons) in Electronic Engineering. Her research interests lie in the areas of Advanced Computing Infrastructures for Modelling and Simulation, Open Science for Simulation, Hybrid Distributed Simulation and Modelling and Simulation for Healthcare and Industrial Applications. Since 2011, she has been involved in several interdisciplinary research projects with stakeholders from industry and academia across manufacturing, healthcare, defence and food supply chains. She has also worked in Africa helping to develop digital infrastructures and collaborative services enabling open science. She is co-chair for the OR Society’s Simulation Workshop (SW21) and member of organising committees for international conferences sponsored by the IEEE and ACM/SIGSIM. She has been awarded Horizon 2020 funding for a 9.5 million Euro project (明星八卦 contribution €370K) entitled “Demonstration of intelligent decision support for pandemic crisis prediction and management within and across European borders” (STAMINA). Modelling and Simulation, Distributed Simulation, Cloud Computing, Open Science, e-Infrastructures, Healthcare Systems, Internet of Things CS2005 Networks and Operating Systems (Module Leader) CS2001 Level 2 Group Project CS2555 Work Placement CS3004 Network Computing CS3072-3605 Computer Science/Business Computing Final-Year Projects CS5601 Enterprise Modelling (Module reviewer) I also taught: Introduction to Programming, Business Analysis and Process Modelling, Systems Project Management, ERP Systems Theory and Practise, ERP Systems Deployment and Configuration and SAP ERP Integration of Business Processes Certification Course (TERP-10).

Professor Marios Angelides Marios C. Angelides is a Computer Scientist, Chartered Engineer (CEng) and a Chartered Fellow of the British Computer Society (FBCS CITP). He holds a BSc (First Class Honours) and a PhD both in Computing and both from the London School of Economics (LSE) where he also began his academic career more than three decades ago specializing in Artificial Intelligence (AI). A symbolic programming language he developed as a degree finalist for coding AI applications was commercialized and then turned into his first book. He continued working on AI throughout his career and for the last two decades, he has been researching the application of creative computing techniques, such as machine learning, serious gaming, and cognitive modelling, recently in developing smart IoT apps. During this period, he published several books, including “Multimedia Information Systems” (Kluwer), “MPEG Applications” (Wiley), and “Digital Games” (IEEE/Wiley). In 2016, several years prior to joining The Computer Journal (Oxford University Press) editorial board, a paper of his that was published in The Computer Journal with a focus on “machine learning in multimedia” was the runner up winner of the annual Oxford University Press “2016 Wilkes Award”. In 2019 he was elected to the Editorial Board of The Computer Journal for which he is now serving as a Deputy Editor. In 2023 The Computer Journal celebrated its 65th anniversary with editorial perspectives on key articles by esteemed international authors from across the journal’s long history. The focus of Marios' editorial perspective is on a visionary article on Expert Systems from 1980 by the late Professor Donald Michie that truly resonates. In 2024 The Computer Journal commemorated the 70th anniversary of the passing of Alan Mathison Turing with the launch of The Alan Turing Collection to celebrate both his long-lasting legacy and how his work still inspires research today. Marios’ contribution to the collection reflects on how Turing’s test which was the focus of his classic paper in Mind from 1950, computing machinery and intelligence, still applies today. Creative Computing (machine learning, serious gaming, and cognitive modelling) for developing smart IoT apps

Dr Damon Daylamani-Zad Damon is a Senior Lecturer in Creative Computing (AI and Games). Applications of AI in Games and Digital Media Machine Learning & Evolutionary Algorithms (Neural Networks, Genetic Algorithm, Swarm Intelligence) Games, Serious Games and Gamification Accessibility Design in Games and Digital Media Extended Reality (xR) and Immersive Technologies: AR, VR and MR Computer Generated Music Damon's main research activities are within the Creative Computing, Games and Digital Media domain, and are specifically focused on Applications of Artificial Intelligence in Games and Digital Media including Collaborative Content Modelling, Serious Gaming, Immersive technologies in cultural heritage, Immersive technologies in training and education, Gamification for accessibility design and User Modelling and Personalisation. He has worked on using Machine Learning for automated music generation, strategy planning, user modelling and game personalisation, use of Artificial Intelligence (swarm intelligence) in strategic and serious games, use of gamification for accessibility design and serious games for reading interventions in Dyslexia. He has been involved in various projects funded by the EPSRC, AHRC, NIH, the Bikeability Trust and Department for Transport. The results of his projects have been adapted for personalisation in MMOGs (Artemis) and in developing frameworks for collaborative decision-making games (Lu-Lu and responsive Lu-Lu).

Professor George Ghinea I am a Professor in the Department of Computer Science at 明星八卦. I obtained my BSc. Degree with Computer Science and Mathematics majors from the University of the Witwatersrand, South Africa. I later went on to obtain BSc. (Hons.) and MSc. Degrees, both in Computer Science, from the same university. I was awarded my PhD – Quality of Perception: An Essential Facet of Multimedia Communications - from the University of Reading, UK, in 2000. In it, I proposed the Quality of Perception metric, a precursor of the Quality of Experience (QoE) concept now widely known. However, whilst QoE is still a concept, QoP is a concrete metric. Thus, recognising the infotainment duality of multimedia, QoP not only characterises the subjective enjoyment associated with experiencing multimedia presentations, but also how such presentations aid a person\'s ability to assimilate informational content. My research activities lie at the confluence of Computer Science, Media and Psychology. In particular, my work focuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. I have applied my expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing. I am particularly interested in building human-centred e-systems, particularly integrating human perceptual requirements. My work has been funded by both national and international funding bodies – all of it being collaborative work with other teams and stakeholders I have been privileged to be involved with. I have also been honoured to supervise 33 PhD students to completion and to have published over 350 high-quality research articles with them and other research collaborators. Currently, my research pursuits are centered on extending the notion of multimedia with that of mulsemedia – a term which I have put forward to denote multiple sensorial media, ie. media applications that go beyond engaging the by now traditional auditory and visual senses, engaging three of our other human in a realistic manner akin to our experiences of everyday life. • Multimedia and multimodal interactive environments• Mulsemedia applications and environments• Adaptive, cross-layer communication systems• Human-centred e-systems• Mobile and pervasive computing• Communications security • Multimedia and multimodal interactive environments • Mulsemedia applications and environments • Adaptive, cross-layer communication systems • Human-centred e-systems • Mobile and pervasive computing • Communications security I currently lead the level 7 postgraduate module Research Project Management.

Professor David Gilbert Professor David Gilbert is Leverhulme Emeritus Fellow, Emeritus Professor of Computing and member of the Computational Biology group in the Department of Computer Science. Previously he was Head of School of Information Systems, Computing and Mathematics, and first Dean of the College of Engineering, Design and Physical Sciences, leading its establishment in 2014-15. In his previous post he was Professor of Bioinformatics at the University of Glasgow where he set up and was Director of the Bioinformatics Research Centre. He holds a BSc in experimental Pyschology and a Masters in Education from the University of Bristol, and a Masters and PhD in Computing from Imperial College, London where his research was into modelling concurrent systems using computational logic. David was an EPSRC Research Fellow at the European Bioinformatics Institute, and a Leverhulme Research Fellow in the Department of Biochemistry and Molecular Biology, University College London when designed and developed the TOPS protein topology computational system. Bioinformatics, Computational Systems Biology, Computational Synthetic Biology; multiscale modeling, model checking, computational methods for design of biological systems. Personalised Health Care / Systems Medicine; Systems Toxicology. Disease epidemics and pandemics. Computational Linguistics. Co-leader of the Computational Biology Group, and member of the Centre for Intelligent Data Analysis I no longer teach, but previously I was Module leader for Level 1 CS1005 Logic & Computation (BSc Computer Science; BSc Business Computing). Tutor for Level 1 group projects. Supervisor for Final Year BSc Computer Science projects. Supervisor for projects in MSc Data Science & Analytics. Giving guest lectures on Intracellular Signalling and Cancer (BB5514) - biosciences

Dr Ivan Girina Ivan Girina is a Senior Lecturer in Game Studies and holds a PhD in Film and Television Studies from the University of Warwick, his research is currently focused on digital games asethetic, particualrly its relationship with cinema and larger visual media landscapes. Ivan is also co-founder and member of the Editorial Board of the international academic journal G|A|M|E – Games as Art, Media and Entertainment. He has published on a variety of topics such as: cinematic games; video game agency; film and new media; media literacy and education; and Italian regional cinema. I am Module Convenor for: FM2608 (BA) - Game Studies 2: Concepts and Analysis FM3615 (BA) - Theory Project: Business & Development FM3616 (BA) - Theory Project: Game Analysis GD3600 (BA) - Film and Video Games GD5600 (MA) - Interdisciplinary Module GD5604 (MA) - Game Studies: Cocepts, Contexts & Analysis

Dr Derek Groen I am a Lecturer in Simulation and Modelling at 明星八卦 University. I'm also an Emeritus Fellow for the EPSRC-funded 2020 Science Network, a Fellow of the Software Sustainability Institute, and a Visiting Lecturer at the Centre for Computational Science at University College London. I completed an MSc in Grid Computing at the University of Amsterdam (UvA) in 2006, and a PhD in Computational Astrophysics both at the UvA and Leiden University in November 2010. After my PhD I worked as a post-doctoral researcher on EU projects about distributed multiscale computing (MAPPER) and high-performance computing towards the Exascale (CRESTA). I received a 1-year position as a Fellow of 2020 Science in January 2015, and funded myself for two months through an EPSRC eCSE to work on new approaches for domain decomposition. I joined 明星八卦 University in September 2015 to become a Lecturer and I currently collaborate in the EU ComPat project about multiscale computing towards the Exascale. I have published >20 peer-reviewed journal papers in venues such as IEEE Computer, IEEE CiSE, Journal of Computational Science, Phil. Trans. R. Soc. A., Physics Review E., the Astrophysical Journal and eLife. In addition, I was second author of the first ever feature article in Advanced Materials, which was on multiscale modelling of clay-polymer nanocomposites and received news coverage from the Daily Telegraph and the BBC. I currently run Science Hackathons to efficiently establish new interdisciplinary collaborations. I am an interdisciplinary researcher who focuses primarily on multiscale modelling and high-performance computing, but takes along some of the major challenges that surround these topics. These include performance modelling and optimization, distributed computing, new approaches for code coupling, and techniques to make intensive computational research easier and more efficient. In terms of applications, I currently model bloodflow in cerebral arteries (using lattice-Boltzmann), and self-assembly processes in layered materials (using molecular dynamics methods). I have worked with a number of other models before (e.g., dark matter simulations to resolve structure formation in the universe), and I am likely to pick up new applications as I proceed with my career. 2015/2016 鈥� Service Oriented Architectures (Msc module) 2015/2016 鈥� Data Visualization (Msc module)

Professor Kate Hone Professor Kate Hone is Head of Department in the Department of Computer Science at 明星八卦, UK. She received the B.A. degree in Experimental Psychology in 1990 from the University of Oxford, UK, and the M.Sc. degree in Work Design and Ergonomics in 1992, and the Ph.D. degree in Human Computer Interaction in 1996, both from the University of Birmingham, UK. From 1995 to 2000 she held teaching and research appointments at the University of Nottingham, UK, first in Psychology and subsequently as lecturer in Computer Science. She joined 明星八卦 as a lecturer in 2000 and from 2009-2018 held the post of Director the Graduate School. She has published widely, including articles in the International Journal of Human Computer Studies, Interacting with Computers, Behaviour and Information Technology, Applied Ergonomics and Ergonomics. Research interests include spoken dialogue systems, affective computing, health informatics and intelligent data analysis. Module leader for CS3009 Human Computer Interaction (Level 3 UG optional module) FYP supervision Contributor to Research Methods training in Department of Computer Science

Dr Shaoqing Hu Dr Shaoqing Hu is a Lecturer with Department of Electronic and Electrical Engineering, an adjunct Professor at Hangzhou Dianzi Unviersity. Prior to joining 明星八卦 Unviersity of London, he was a teaching associate, teaching fellow with the School of Electronic Engineering and Computer Science, Queen Mary University of London. He is a Fellow of the Higher Education Academy (FHEA), member of IET, IEEE, SPIE (The international society for optics and photonics), member of working committee in UK of China Institute of Communications, and member of UK Electromagnetic Systems Interest Group. He is the departmental level 4 coordinator, 明星八卦 Pathway College liasion tutor, external reviewer. Dr Hu received the B.Eng and M.Eng degrees at University of Electronic Science and Technology of China in 2013 and 2016, and the PhD degree at Queen Mary University of London in 2020. His research interests include millimeter wave/THz security detection, sparse imaging, antennas, arrays, engineering optimisation and wireless communication. He was a Session Chair of APS/URSI 2020, TPC member of CNIS2023, ICVIP2021, ISAI 2017, ITA 2017, key member of local organizing committee of 2014 7th and 2019 12th UK/Europe-China Workshop on Millimetre-Waves and Terahertz Technologies (UCMMT). Dr Hu was also a recipient of Student Paper Award with IEEE Asia-Pacific Conference on Antennas and Propagation in 2015, and First Prize of Best Student Paper Award with UK-Europe-China Workshop on Millimeter Waves and THz Technologies in 2020. He serves as a referee for 2022 UK Doctoral Research Award and many peer-reviewed journals. Weclome PhD applications and postdoctors and visiting scholars. Funded PhD schoarships include EPSRC Doctoral Training Partnerships, 明星八卦 University of London and China Scholarship Council PhD scholarship. There are a number of highly competitive international exchange grants, postdoctoral or early career fellowship schemes: The Royal Society Internationl Exchanges, EPSRC Postdoctroal Fellowship, Lverhulme Trust Early Career Fellowship, Lverhulme Trust Research Fellowship, Royal Academy of Engineering Research Fellowship, Marie Sklodowska-Curie ActionsPostdoctoral Fellowship. You need to obtain the support from 明星八卦 as your Host Institution for these applications, along with a very competitive research proposal. I have experience in supporting RAEng Research Fellwoship and Marie Sklodowska-Curie Actions Postdoctoral Fellowship. Feel free to enquire via email with your CV. Latest News 明星八卦 University of London and China Scholarship Council PhD scholarship 2025 is open until 3 January 2025. Fellowship of the Higher Education Academy awarded in March 2024. Random Sparse Imaging, Signal and Image Processing, Antennas and Arrays, Gesture and Health Sensing, 5G, 6G Wireless Communication

Dr Eleni Iacovidou My research focuses on environmental management, with emphasis on resource and waste management systems. Specifically, I develop methods for performing holistic and integrated environmental, economic, social and technical assessments of resource recovery systems based on a systems thinking approach. Using this approach, I combine environmental science and engineering with an understanding of the political, organisational, structural and cultural aspects that act synergistically in a resource recovery system to highlight areas of intervention for promoting sustainability. My research is predominantly desktop based and focuses on four key areas: food waste prevention and management plastic and plastic packaging system assessment construction components reuse and modular structures waste electrical and electronic equipment (WEEE) repair and reuse I am also interested in the implications of technological and regulatory lock-ins, the role of stakeholders in sustainability transitions, the impact of informal recycling systems on environment and society, in waste infrastructure availability and adaptation based on area-specific characteristics, the use of smart technologies for tracking components and products across the value chain, and in circular economy. Since arriving at 明星八卦 University in October 2018, I have been involved in teaching on the MSc programme in Environmental Management and the BSc programme in Environmental Sciences. I contributed to the "Environmental Management and Legislation" (MSc) and "Research Skills, GIS and Fieldwork II" modules (BSc - Year 2). This academic year (2019/20) I will lead the module in “Environmental Management” (MSc) and the study blocks in "Environmental Governance" (BSc - Year 3) and "Sustainable Development" (BSc - Year 3).

Dr Andra Ivanescu Andra is a Lecturer in Game Studies and a ludomusicologist. Andra’s research interests are broad, going beyond her primary focus of music in videogames, and including appropriation and nostalgia, genre, gender studies, and film studies. Her research has been published in journals like The Soundtrack (2015) and she has presented papers at a variety of conferences including Myth, Fantasy and Fairy Tales in Literature and the Arts (Cambridge, 2013) and the Ludomusicology Conference (Chichester, 2014; Utrecht, 2015; Southampton, 2016). She is also co-editor of the academic journal Book 2.0. Andra has also led (and co-led) two Global Lives-funded research clusters focusing on creative processes in poetry and games, as well as the dissemination of academic research through digital games. Andra's first monograph - Popular Music in the Nostalgia Video Game: The Way It Never Sounded - is now available from Palgrave Macmillan. Andra teaches a number of game studies modules at both undergraduate and postgraduate level, including Game Studies 1: Introduction to Game Studies, Game Genre, and Socio-Cultural Studies. My research interests fall at the intersection between video games, music, and popular culture. Video Game Music Nostalgia Popular Music Quotation and appropriation (especially in relation to popular music and screen media) Gender Studies and Video Games Game Studies Game Genre Research Methods Socio-Cultural Studies

Professor Meredith Jones Professor Jones is Director of the pan-university Institute for Communities and Society. Meredith is a transdisciplinary scholar who works at the intersections of feminist theories of the body with media, gender, and cultural studies. She is particularly interested in popular culture, visuality, and embodiment, and has published widely in these areas. Her latest edited volume, Performing the Penis: Phalluses in 21st Century Cultures (with Evelyn Callahan) comprehensively introduces the emerging discipline of Penis Studies. She is currently working on a monograph about vulvas and on a yearbook about genital transformations in media and culture. Beautyscapes: Mapping Cosmetic Surgery Tourism (written with Ruth Holliday and David Bell) won the 2020 Foundation for Sociology of Health and Illness Prize. This book is based on extensive fieldwork carried out in Thailand, Malaysia, South Korea, Tunisia, Spain, and Czech Republic. It also comprises digital research into cosmetic surgery websites and cosmetic surgery communities on social media. Skintight: An Anatomy of Cosmetic Surgery, Meredith's first monograph, is a widely-cited foundational text in studies of makeover culture, cosmetic surgery and feminist theories of the body. Her other books include a major collection of feminist writing about cosmetic surgery that she co-edited with philosopher Cressida Heyes, Cosmetic Surgery: A Feminist Primer. She often speaks publicly about social media, popular culture and feminism, and is an expert on the socio-cultural aspects of the Kardashians. She hosted a scholarly Kimposium! in 2015 and Kimposium! The Sequel was held in September 2021. Meredith is active in the creative industries and founded the Trunk series of books with artist and designer Suzanne Boccalatte, which includes curated collections of artworks and essays about Hair and Blood. Currently she is collaborating with Taylor & Francis Group to deliver a series of projects around new and innovative modes of publishing. The goal is to develop more digitally relevant, flexible, inclusive and faster ways of publishing for academics as well as community, industry, and NGO groups. Qualifications PhD in Cultural Studies, University of Western Sydney, 2006 BA Hons. in Women's Studies, 1st Class, University of Sydney, 1998 Meredith's work is in the broad fields of Feminist Theory, Cultural Studies, Gender Studies, and Cultural Sociology. She has researched and written about cosmetic surgery and other body modifications for more than two decades. Her book Skintight: An Anatomy of Cosmetic Surgery is a key text in feminist thinking about makeover culture, bodies, and media. In Sun, Sea, Sand and Silicone, an international ESRC funded research project that explored the phenomenon of Cosmetic Surgery Tourism, Meredith and a team of academics from Australia and the UK followed people from the UK, Australia and China who went to Thailand, Malaysia, Tunisia and South Korea seeking cosmetic surgery. The book based on this project, Beautyscapes: Mapping Cosmetic Surgery Tourism, won the 2020 Foundation for Sociology of Health and Illness Prize. Meredith is the editor of the Routledge series Gender, Bodies and Transformation. She welcomes proposals for the series. Animal/Human Studies, Body Modifications, especially Cosmetic and Plastic Surgery, Cultural Studies, Digital Studies, Embodiment, Fashion Theory, Feminist Theories of the Body, Gender Studies, Media Studies, Popular Culture, Trans Studies, Visual Studies

Dr Elmar Kal I have a BSc (2011) and MSc (2012; cum laude) in Movement Science, both from the Faculty of Behavioural and Movement Sciences at the Vrije Universiteit Amsterdam in The Netherlands. For my PhD project I was employed at a specialist rehabilitation centre (Heliomare) in the Netherlands, studying the impact of implicit learning interventions on the rehabilitation of balance and gait in people after stroke. I successfully defended my thesis in November 2018. I joined 明星八卦 in 2019. My research is focused on better understanding the cognitive and psychological processes that underpin motor control and learning, and to use this knowledge to improve motor functioning in aging and neurological populations (stroke, Parkinson’s). Two main themes in my research are: (1) The use of motor learning principles in (re-)learning of balance and gait tasks in different clinical populations. This includes the use of weight-shifting strategies to reduce freezing of gait in people with PD, as well as the use of implicit motor learning techniques as part of Physical Education of children. (2) The role of anxiety and associated changes in attention in unexplained dizziness in older adults.This includes the use of virtual reality to study the effects of standing at a (virtual) height on fear of falling, associated discrepancies in perceived (self-reported) and actual (sway on force platform) balance, and potential neural and muscular control changes that could help explain such discrepancies - and provide options for interventions. In terms of approach, I combine basic science (assessments of brain activity (using fNIRS, EEG), kine(ma)tics of movement (using force plates, 3D movement analysis), and muscular control (EMG)) with clinically applied research (e.g., using clinical outcomes and assessment methods). I have experience with a host of the methodological approaches (systematic reviews, observational studies, experimental studies, RCTs, validation studies) which gives me flexibility in studying these topics. Two key areas of interest are: 1) The use of motor learning principles in (re-)learning of balance and gait tasks in different clinical populations 2) The role of anxiety and associated changes in attention in unexplained dizziness in older adults. In terms of approach, I strive to combine basic science (assessments of brain activity (using fNIRS, EEG), kine(ma)tics of movement (using force plates, 3D movement analysis), and muscular control (EMG)) with clinically applied research (e.g., using clinical outcomes and assessment methods). I have experience with a host of the methodological approaches (systematic reviews, observational studies, experimental studies, RCTs, validation studies) which gives me flexibility in studying these issues. Pre-registration MSc/BSc Physiotherapy HH5819 - Dissertation Module (module lead) HH1604 / HH5602 - Rehabilitation 2 (tutorials on motor learning & gait analysis) PH5640 - Research Methods for Health Sciences (tutorials on applied statistics using JAMOVI) Advanced Clinical Practice PH5603 - Quantitative Methods and Design for Health Science Research (tutorials on applied statistics using JAMOVI) PH5630 - Neurophysiological Basis for Rehabilitation of Movement (tutorial on influence of attention and fear on movement control and learning)

Professor Tatiana Kalganova DEGREES AWARDED PhD Napier University Research-engineer degree Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus MSc (distinction) Belarusian State University of Informatics and Radio-electronics, Minsk, Belarus ACADEMIC POSTS 2000-present Lecturer 明星八卦 2003-2011 Business Fellow London Technology Network, LTN Link between research activities at 明星八卦 and industry 1997-2000 PhD student Napier University 1994-1997 Research Assistant Belarusian State University of Informatics and Radio-electronics The main research fields of Dr Kalganova are in Artificial Intelligence and its real-life applications: Evolutionary Design and Optimisation, Evolvable hardware, Modelling and optimisation of Large Systems, Operational research, Robotics, Swarm optimisation. Teaching experience in a range of subjects including core undergraduate units in introduction to programming, object-oriented programming, UML, C++; post-graduate level teaching in research methods, network management and design and mid-term review and assessment in PhD, supervision of undergraduate and postgraduate final year projects, MSc projects. Administration including module leader of core undergraduate and postgraduate modules, Level 2 Co-ordinator at the Department of Electronic and Computer Engineering, 明星八卦 (2001 - 2004); final year project coordinator for MMTD and BMTD (2007 - 2012); ERASMUS coordinator (2009 - ); Director of ECE International Partnerships (2011 - ); Web Coordinator (2012 - ). International relations: establishment and maintenance of collaboration in teaching (double degree program for MSc programs across the School of Engineering and Design) and research with top level Grand Ecoles in France namely ISEP, ESIEE-Paris, ESIGELEC.

Professor Shireen Kanji My research addresses inequalities in workplaces, in homes and their many interconnections. I am an expert in how inequalities relate to demographic issues. Much of my research is situated where gender, work and social inequality intersect. My previous research has analysed gender inequality in organisations, working hours of men and women, the work-family interface, performance appraisal, career choices, self-employment and wellbeing. Parents’ experiences at work. My research has examined, firstly, women’s participation and exit from work. Secondly, male breadwinners' working hours preferences and actual hours of work. Thirdly, the impact that the care grandparents provide to grandchildren has on the labour force participation of mothers in the UK. I have analysed how becoming a parent or partner differentially affects the transitions of men and women to self-employment and business ownership. Occupations. I have studied the occupational aspirations of younger workers in relation to the gender mix of occupations and gendered self-concepts in mathematics, the long-lasting impact of precarious work on the wellbeing of younger workers in Germany. Research on occupations and inequality is based on women scientists in the pharmaceutical industry in Switzerland and women’s changing occupational status in China (conducted for the Asian Development Bank). Current research: Working hours and paid work participation of older men and women in Europe. The experiences of women bankers in Bangladesh. Young people's transitions from school to work in developing countries. My work has been widely reported in national and international media in The FInancial Times, The Times, Daily Telegraph, Daily Mail, Wirtschaftswoche, Time Magazine, The Daily Express, ITV News and BBC News. I have appearedtwice on BBC Radio 4’s Woman’s Hour and on the BBC World Service. I have undertaken consultancy work for international organisations. For example I was involved in an OECD project on how the school to work transition in Switzerland is gendered, an Asian Development Bank research project on women’s changing occupational status in China and several DFID projects on poverty in Russia. I have also undertaken consultancy work for private organisations including Starling Bank. I am a Council Member of the British Society for Population Studies and serve on one of the ESRC Grant Assessment Panels. I have served as an evaluation member panel for the Portuguese and Swedish Social Research Councils. I was a member of the editorial team of Work, Employment and Society from 2010-2013. I am currently on the Editorial Board of Industrial Relations Journal. I joined 明星八卦 Business School in 2019, having previously held posts at the University of Birmingham, University of Leicester, Basel University and the University of Cambridge. I have taught courses on Leadership, Human Resource Management, Statistical Modelling, Research Methods, International Human Resource Management, the Sociology of the Family and Gender and Employment. At 明星八卦 I have designed and tuaght a module on ethics, power and inequality in artificial intelligence in 明星八卦's new Masters in AI Strategy. Prior to working in academia, I had a career in international finance I am currently teaching the following courses: MG3018 Gender in Organisations MG2063 Critical Perspectives on Management MSc in Artificial Intelligence Ethics, Power and Inclusion in AI HRM for small and medium sized businesses

Dr Paul Kyberd I joined 明星八卦 in 2001. I am a particle physicist working at CERN on CMS (Compact Muon Solenoid) and the Rutherford Appleton Laboratory on MICE (Muon Ionising Cooling Experiment). I manage the Universities grid site which is part of the World wide LHC computing grid. Muon Cooling Jet Finding Muon Tomography EE1600 - Programming for Digital Media EE2702 - Mobile Web Development EE5525 - Networking Computing EE5531 - Distributed Systems Architecture EE5573 - Software Engineering for Distributed Systems

Dr stasha Lauria Dr Stanislao Lauria has a Laurea awarded by The University of Studies 鈥淔ederico II鈥� of Napoli in Italy. He holds a Ph.D. in Cybernetics from The University of Reading, UK. Dr Stanislao Lauria is a Lecturer at 明星八卦. Previously he was research fellow at the University of Plymouth and at the University of Reading. Dr. S. Lauria has been working in the area of intelligent robotics for more than 15 years, and is particularly specialised in modelling and training mobile robots by means of intelligent human-machine interactions. Specifically, he has investigated the use of various frameworks for representing knowledge and converting natural language into robot-understandable actions. He has established the 明星八卦 Robotics Laboratory performing exploratory experiments on cognitive mobile robots. He has also investigated the use of various Artificial Intelligence paradigms for various signal processing domains. His current activities focus on Machine-Human interactions. In particular, he is investigating the implication of Social Media on Human-Robot interactions and dialogue management aspects. Finally, he is exploring the use of robotics as an educational tool. Neural Networks Pattern Recognition/Processing Natural Language based interactions Dialogue Based systems. Multi Agent Architectures. Robotics Machine-Human Interactions Social Network and Machine-Human interactions Big Data searches. Dr Lauria has been involved in designing delivering and assessing several teaching modules with a particular emphasis on programming. Therefore, suitable methods to allow students at a beginner level to increase their confidence in programming have been introduced. The aim has been to both introduce alternative paradigms to stimulate student motivation and to increase student鈥檚 perception of their own skills. As part of various outreaching programs Dr. Lauria has developed some innovative methods based on short interactive sessions to allow naive user to be able to control and program robots. Teaching areas. Computer Networks Programming Languages Database Software Engineering Database Algorithms

Professor Maozhen Li Education PhD in Software Engineering, Institute of Software, Chinese Academy of Sciences, 1997. MSc in Image Processing, Department of Computer Science, North University of China, 1994. BSc in Computer Science, Department of Computer Science, North University of China, 1991. Employment Oct 2013 - present, Professor, Dept. of Electronic and Computer Engineering, 明星八卦 Oct 2009 - Sept 2013, Senior Lecturer, Dept. of Electronic and Computer Engineering, 明星八卦 Feb 2002 - Sept 2009, Lecturer, Dept. of Electronic and Computer Engineering, 明星八卦 Jan 1999 - Jan 2002, Post-Doctoral Research Associate, School of Computer Science, Cardiff University High Performance Computing MPI, Grid computing, Cloud computing Big Data Analytics Data intensive applications with MapReduce/Hadoop smart grids, spam filtering, image annotation, information retrieval, financial risk management Knowledge and Data Engineering Context aware mobile computing, knowledge discovery with rough sets, Semantic Web, ontology alignment Data Mining and Machine Learning Deep learning for human re-dientification based on walking patterns Mobile sensing for large scale urban air quality estimation, which explores real-time and fine-grained air quality information (PM2.5, PM10, SO2) throughout a city, based on the (historical and real-time) air quality data reported by constructing large-scale mobile sensing nodes (e.g. low-cost sensors) and a variety of data sources observed in the city, such as meteorology, traffic flow, structure of road networks, and point of interests (POIs). Computer Networks Network Computing High Performance Computing

Professor Yongmin Li Please visit my personal website where you may find more details of my work. Prof. Yongmin Li received his PhD from Queen Mary, University of London, MEng and BEng from Tsinghua University, China. Before joining 明星八卦 University, he worked as a research scientist in the British Telecom Laboratories. He is a Senior Member of the IEEE, and Senior Fellow of the Higher Education Academy. He was ranked in the world's top 2% scientists by the Standardized Citation Indicators (Elsevier) every year since 2020. His research interest covers the areas of data science, machine learning, artificial intelligence, image processing, computer vision, video analysis, medical imaging, bio-imaging, biomedical engineering, healthcare technologies, automatic control and nonlinear filtering. Together with his colleagues, their work has won the following awards: 1st Place, RETOUCH Challenge (Online), MICCAI 2023 (with Ndipenoch, Miron and Wang). 2nd Place, FeTA Challenge, MICCAI 2022 (with McConnell, Ndipenoch and Miron). Most Influential Paper over the Decade Award, MVA, 2019 (with Ruta, Porikli, et al). Best Paper Award, Bioimaging, 2018 (with Dodo, Eltayef and Liu). VC Prize, 明星八卦 University, 2015 (with Kaba and Liu). Best Paper Award, HIS, 2012 (with Salazar-Gonzalez and Kaba). Best Poster Prize, BMVC, 2007 (with Ruta and Liu). Best Scientific Paper Award, BMVC, 2001 (with Gong and Liddell). Best Paper Prize, RATFG, 2001 (with Gong and Liddell). For Chinese students only: Twenty (20) China Scholarship Council (CSC) scholarships are available for PhD studies at 明星八卦 University of London. 明星八卦 University of London will provide full tuition fees (up to 48 months) for each successful candidate. The CSC will provide each scholarship recipient with a stipend for living costs (including medical insurance), one international round trip economy class airfare between China and the UK, and reimbursement for one-off visa application fees. Follow this link to apply. Expected start date: September 2025. Deadline : 3 January 2025 at 12am. Prospective PhD Students: We invite talented and hard-working students to join us for their PhD study. From time to time, we may have studentships available, which include an annual bursary (about £18,000 this year) plus payment of tuition fees for three years. Currently we have several projects on-going, for example, Deep Learning for Medical Imaging, Natural Language Processing for Business Intelligence, Natural Language Processing for Tax Assessment, and Image/Video Content Generation for Personalised Remarketing. But any other topics within the area of artificial intelligence and data science would also be welcome. Contact me for details if interested. Master of Science in Artificial Intelligence 2024/25: Built on our strong international research profile (consistently ranked in the top 200 in the world over the past decade by various ranking systems, and particularly strong in publication performance, e.g. 7th in UK by the "NTU Performance Ranking of Scientific Papers for World Universities" (Subject: Computer Science, 2023), we offer the MSc Artificial Intelligence course with great flexibility (1 year full-time, 2 year part-time or 3 year staged study). If you are interested, apply here. 15 Scholarships available for applicants from under-represented groups, £10,000 of each. Research & Development Collaboration: Developing downstream applications of large AI models is a focused area of my group in the upcoming years. Contact me if you have a collaboration project. We can assist in securing funding from sources like UKRI, EU, or Innovate UK, potentially cutting your costs in the project significantly (e.g. by 1/3 or more), plus the university's input. Please visit my personal website where you may find more details of my research. Computer vision, image processing, video analysis, medical imaging, bio-imaging, machine learning, pattern recognition, automatic control and nonlinear filtering. CS0002 Introduction to Programming CS5707 Artificial Intelligence CS5708 Deep Learning

Professor Xiaohui Liu Xiaohui Liu joined 明星八卦 University of London as a Professor of Computing in 2000. Over the years, he has held several visiting positions, including at Leiden University (2004), Harvard Medical School (2005), and the Chinese Academy of Sciences (2010). In 1995, he founded the International Symposium on Intelligent Data Analysis (IDA) to advance an interdisciplinary approach to data analysis, drawing on techniques from statistics, artificial intelligence, and related fields. With over three decades of experience in AI, data science, and optimisation, Professor Liu has been recognised by Clarivate/Web of Science as a Highly Cited Researcher for 11 consecutive years (since 2014) in categories such as Computer Science, Engineering, and Cross-Field research. Professor Liu has been an investigator on a number of grants (see below) in research areas including AI, bioinformatics, complex networks, data science, deep learning, engineering and manufacturing, healthcare, optimisation, sentiment analysis, and statistical pattern recognition.

Professor Panos Louvieris Panos Louvieris is Professor of Information Systems and leads the Defence & Cyber Security (DCS) research group in the Department of Computer Science at 明星八卦 and co-director of the 明星八卦 Intelligent Digital Economy and Society (IDEAS) Research Centre. His research interests are data and information fusion, defence and cyber security analytics, and computational finance in the digital economy. He is co-director of the Trusted Open Models Institute (TOMI) at the Hartree Centre concerning the assurance of AI computational models. He is a committee member of the EPSRC Digital Personhood Network. In addition, he is a member of EPSRC ITaaU+ Network and NEMODE+ Network. Cybersecurity, Data and Information Fusion, Causal Reasoning and Explainable AI, Smart Decision Support Systems, Distributed Ledger Technologies for FinTech CS3609 Cybersecurity CS5517 ICTs and Strategic Change

Professor Danae Manika Danae Manika (PhD, University of Texas at Austin) is Professor of Marketing at 明星八卦 Business School and Acting Executive Dean of the College of Business, Arts and Social Sciences (CBASS). Previously, Danae was Deputy Dean of CBASS and Associate Head of 明星八卦 Business School. Before joining 明星八卦, she was Professor of Marketing at Newcastle University Business School, where she led its London Campus as Academic Group Head and held the Deputy Director of Research role at Newcastle University Business School. Danae in the past has also held academic positions at Queen Mary University of London, Durham University and the University of Texas at Austin; and is currently Visiting Professor at Newcastle University and Queen Mary University of London. Prior to her academic career, Danae worked as an Account Planning Intern in advertising agencies such as Latinworks in Austin, TX, and DDB in New York. She obtained a Ph.D and a M.A. in Advertising from the University of Texas at Austin, and a B.A. Honours in Marketing from University of Stirling. Danae’s recent research has been published in journals such as: Journal of Service Research, Journal of Business Ethics, Tourism Management, Annals of Tourism Research, Psychology and Marketing, European Journal of Marketing, Technological Forecasting and Social Change, Journal of Business Research, European Management Review, and International Business Review, amongst others. Using an interdisciplinary approach, Danae’s research focuses on effective message construction for behaviour change within the contexts of health, well-being and the environment. She is involved in various consultancies (e.g., Harrow Council, Royal Borough of Kensington and Chelsea Council, RECOUP, Global Action Plan, Texas Comprehensive Cancer Control Coalition), and her research has been supported by £414,000+ of funding (e.g., CRUK, EPSRC/Innovate UK, NERC/NCAS, RED, and Arrow/ERDF). Danae is Section Editor for the Journal of Business Ethics (section: Marketing Ethics; FT50 journal), and Associate Editor (AE) for Business and Society and the Journal of Current Issues and Research in Advertising, while in the past she was AE for the Journal of Marketing Management (2017-21). She is also currently on the Editorial Review Boards of:Technological Forecasting & Social Change, and Journal of Marketing Management; with guest editor experience across multiple top journals. Danae also has experience as: funding reviewer for Cancer Research UK (2015-19); and track chair for the Academy of Marketing Science World Marketing Congress Conference in 2023, the Transformative Consumer Research Conference in 2021, and the European Social Marketing Association Conference in 2016. Using an interdisciplinary approach, blending the lines between marketing, advertising and psychology her research aims to answer a fundamental marketing research question: How to diminish the knowledge-behaviour gap? Particularly, her research focuses on effective message construction for behaviour change. It takes an information processing approach, which identifies, classifies and examines cognitive (e.g., knowledge, confidence, trust, values) and affective (e.g., pride, fear, disgust) factors that influence individuals’/consumers’/employees’ decisions and choices after exposure to campaigns/messages/interventions, and translate knowledge acquisition to behaviour change/formation. Her research is theory-based but practically applicable research, and often uses health (e.g., weight control, alcohol consumption, vaccination), well-being and environmental (e.g. energy saving, recycling) social issues as the venue for understanding the knowledge-behaviour gap, with direct implications for persuasive communication and behavioural interventions that motivate health and environmental action. The campaigns/messages/interventions often examined involve digital components (e.g., websites, social media, mobile applications, online tracking tools) and technology adoption behaviours (e.g., adoption and usage of technology-based solutions). Other projects with information technology and effective message construction focus include: social media service failure apologies, online petitions, and online political engagement. Side projects include innovative research methodologies, female-disparaging adverts, and consumer animosity, amongst others. Danae’s recent research has been published in journals such as Journal of Service Research, Journal of Business Ethics, Tourism Management, Annals of Tourism Research, Psychology and Marketing, European Journal of Marketing, Technological Forecasting and Social Change, Journal of Business Research, European Management Review, International Business Review, Information Technology and People, Studies in Higher Education, Journal of Marketing Management, Computers in Human Behavior, International Journal of Advertising, Journal of Health Communication, Journal of Marketing Communications, Health Marketing Quarterly, and Multivariate Behavioral Research, amongst others. She often engages in research projects that require collaborations with other disciplines such as medicine, engineering and geography; and her research has been supported by £364,000+ of funding (e.g., CRUK, EPSRC/Innovate UK, RED, and Arrow/ERDF). She also strongly believes in the interplay and interdependence of academia, government, business and society and hence she is often involved in various consultancies (e.g., Harrow Council, Royal Borough of Kensington and Chelsea Council, RECOUP, Global Action Plan, Texas Comprehensive Cancer Control Coalition), in line with her research (i.e., effective message construction for behaviour change). Danae is Section Editor for the Journal of Business Ethics (section: Marketing Ethics; FT50 journal), and Associate Editor (AE) for Business and Society and the Journal of Current Issues and Research in Advertising, while in the past she was AE for the Journal of Marketing Management (2017-21). She is also currently on the Editorial Review Boards of: Technological Forecasting & Social Change, and Journal of Marketing Management; with guest editor experience across multiple top journals. Danae also has experience as: funding reviewer for Cancer Research UK (2015-19); and track chair for the Academy of Marketing Science World Marketing Congress Conference in 2023, the Transformative Consumer Research Conference in 2021, and the European Social Marketing Association Conference in 2016. Knowledge-Behaviour Gap Effective Message Construction for Behaviour Change Information Processing & Persuasive Communication Health Communication (Employee) Pro-environmental Behaviour Technology Adoption for Behaviour Change Consumer Psychology Social Marketing Advertising

Professor Hongying Meng Professor Hongying Meng is with Department of Electronic and Electrical Engineering at 明星八卦 University of London. Before joining 明星八卦, he held research positions in several UK universities including University College London (UCL), University of York, University of Southampton, University of Lincoln, and University of Dundee. He received his Ph.D. degree in Communication and Electronic Systems from Xi’an Jiaotong University and was a lecturer in Electronic Engineering Department of Tsinghua University, Beijing in China. His research area includes biomedical engineering, computer vision, affective computing, artificial intelligence, neuromorphic computing and Internet of Things. His research is funded by EPSRC, EU Horizon 2020, Royal Academy of Engineering, Royal Society, etc. He has published more than 200 academic papers with more than 7000 citations (Google Scholar h-index 39). He has developed 2 different emotion recognition systems that won AVEC2011 and AVEC2013 international challenge competitions respectively. He is an IEEE Senior Member since 2017 and an associate editor for IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) and IEEE Transactions on Cognitive and Developmental Systems (TCDS). He is also an associate Editors-in-Chief for Digital Twins and Applications (IET). He was recognized as one of the AI 2000 Most Influential Scholars by Aminer in 2022 and was listed as a Top 2% Scientist of the World (Stanford/Elsevier, single-year data sets) in 2023 and 2024. Digital Signal Processing: wavelet transform; digital filtering; statistical signal processing; audio signal processing; mechanical signal processing (fault detection), biomedical signal processing (e.g. ECG, EEG, EMG, GSR); real-time signal processing. Machine Learning: Support Vector Machine (SVM); kernel methods; artificial neural networks; genetic algorithm; genetic programming, feature selection and fusion; Bayesian methods; Hidden Markov Model (HMM); deep learning; Long Short Term Memory (LSTM), Convolutional Neural Network (CNN), Generative Adversarial Network (GAN), multi-label classification; statistical learning theory; multi-score learning, multiple classifier system, decision fusion, data mining, regression, spiking neural networks, neuromorphic computing. Human Computer Interaction: affective computing; emotional states recognition; facial expression analysis; multi-model interaction; movement modelling; gesture recognition, ubiquitous and pervasive computing; robot; self-driving car, ambient intelligence; multimodal emotional interaction system; interactive film; and virtual reality (VR). Computer Vision: biologically inspired vision systems; dynamic motion feature extraction; human action recognition; object detection; object tracking; visual surveillance; image compression; large scale image categorization; image segmentation; real-time image processing; medical image processing (CT, fMRI); embedded vision systems; 3D image processing, Holoscopic imaging; autonomous driving systems. Embedded Systems and Communications: FPGA; microcontroller (PIC, ARM); DSP (TI); smart phones; tablet; game consoles, SoC (System on Chip), IoT (Internet of Things), Controller Area Network (CAN), wireless networks and communication (ZigBee, Bluetooth, OOK, visible light communication, mmWave communication). Microcontroller Principles (FHEQ Level 5) Computer Architecture and Interfacing (FHEQ Level 5) Engineering Group Design Project (FHEQ Level 5) Advanced Embedded Systems Design (FHEQ Level 7, MEng & MSc)

Dr Amir Mohagheghi Dr Mohagheghi holds academic degrees in Physiotherapy and Motor Control and currently works as a Clinical Biomechanist. As a Fellow of the Higher Education Academy of England, his research focuses on translating laboratory findings into clinical practice. His work primarily addresses movement disabilities of neural origin, including the study of biomechanical properties of muscles and tendons in both healthy and clinical populations. His research also explores the use of alternative motor pathways, manipulation of movement contexts for motor rehabilitation, and balance impairments in individuals with Parkinson's Disease. Qualifications PhD – Motor Control & Learning – Otago University, New Zealand (1999) MSc – Physiotherapy – Tehran University of Medical Sciences, Iran (1994) BSc – Physiotherapy – Shiraz University of Medical Sciences, Iran (1987) Employment 明星八卦 (2009 – present) University College London (2007 – 2009) Manchester Metropolitan University (2004 – 2007) StartReact for the rehabilitation of arm movement in stroke survivors: Our team has found evidence supporting the use of StartReact—a phenomenon referring to the early initiation of prepared or pre-programmed movements (possibly) through neural pathways other than the corticospinal tract—in the rehabilitation of arm movements in stroke survivors. We have demonstrated that the inflexible coordination patterns between arm segments can be disrupted, leading to increased variability of movement coordination and improved movement accuracy when reaching for an object in this population. In vivo examination of muscle and tendon architecture and mechanical properties: Muscle and tendon architectural and biomechanical properties can affect function. These characteristics are changed in clinical populations with neurological disorders (e.g. stroke, cerebral palsy). Dr Mohagheghi’s interest is focused on the effect of neurological disorders and efficacy of different therapeutic interventions on muscle and tendon properties and functional abilities. He has been a contributing author to the development of the UK national guideline for “Splinting for the prevention and correction of contractures in adults with neurological dysfunction” published 2015. Movement disorders and musculoskeletal injuries: many neurological and musculoskeletal disorders affect walking, balance, arm movement and coordination between limbs. In stroke survivors, we examine the effect of experimentation in a StartReact context on the recovery of arm movements. In patients with Parkinson's Disease, our focus is on improving balance instability using vestibular stimualtion. SP5604 - Assessment of Human Performance SP2555 – Work Placement

Dr Arthur Money Dr Arthur G. Money is a Reader in the Department of Computer Science at 明星八卦, where he also received his MSc in Distributed Information Systems with distinction in 2001 and PhD in Multimedia Computing in 2007. Prior to embarking on a fully funded EPSRC PhD scholarship in 2004, he worked for Oracle UK Ltd as an e-Business Technology Consultant. Dr Money’s research focuses on the user-centred design, development and evaluation of multimedia computing systems and the effective deployment of these systems with users who have complex needs spanning a range of domains including older adults, healthcare, education, and defence. Multimedia Computing, Human-Computer Interaction, 3D Mobile Virtual Reality, Video Summarisation, Assistive Technologies for Health Care, Serious Games, Inclusive Access in HCI, Human Factors, User-Centred Design, Emotion and Affective Computing, e-Government and e-Inclusion. Module leader: CS3608 Social Media, Teaching Contributor: CS3072 Final Year Project, Supervisor: CS1701 Level 1 Group Project Project, Supervisor: CS3072 & CS3074 Department of Computer Science Projects

Dr Paul Moody Paul is a Senior Lecturer in Media and Communications, with research interests in British cinema history, Hollywood and US cultural diplomacy, emerging digital media, and the horror film. He is also a digital media practitioner whose work has won awards at international festivals. Paul's most recent monograph, EMI Films and the Limits of British Cinema (2018), develops the first historical analysis of the largest British film company of the 1970s, EMI Films. The book argues that EMI’s amorphous nature as a ‘transnational’ film company problematizes traditional approaches to the creation of cultural ‘canons’ and the definition of ‘national culture’, with one reviewer commenting that it makes a ‘very significant contribution not only to British cinema history but also to British cultural history in general’. Paul's work on the company’s output is an ongoing research interest and currently, he is developing a project with the British Film Institute on the career of EMI Films’ first Head of Production, Bryan Forbes, analysing his work as part of a wider examination of how polymathic artists can be interpreted by cultural historians. Paul's other current research interest focuses on the connections between Hollywood and the U.S. Department of State's global network of embassies. His work in this field has been published in Media, Culture and Society and the International Journal of Communication, and he is completing a monograph on this topic provisionally titled The US Embassy-Hollywood Complex. In this book, Paul employs archival records from the US State Department to question existing theories of globalization which present state sovereignty in decline vis-à-vis ‘globalizing’ media companies. He argues that instead, these examples show how the US government has supported Hollywood’s global economic interests using a variety of strategies and tactics, problematizing attempts to explain Hollywood’s cultural dominance solely as a product of its wide public appeal or as a result of laissez-faire economic policy. Paul' research interests include British cinema history, Hollywood and US cultural diplomacy, emerging digital media, and the horror film. British Cinema History: Paul's most recent monograph, EMI Films and the Limits of British Cinema (2018), develops the first historical analysis of the largest British film company of the 1970s, EMI Films. This is part of an ongoing project into the history of EMI Films, which has also resulted in Paul editing a special issue of the Journal of British Cinema and Television on the company, and producing a video essay on Verity Lambert, EMI Film's last Head of Production. He is currently developing a project with the British Film Institute on the career of EMI Films’ first Head of Production, Bryan Forbes, analysing his work as part of a wider examination of how polymathic artists can be interpreted by cultural historians. Hollywood and US Cultural Diplomacy: Paul has published widely on the connections between Hollywood and the U.S. Department of State, in journals such as Media, Culture and Society and the International Journal of Communication. Currently, he is completing a monograph on this topic provisionally titled The US Embassy-Hollywood Complex. In this book, Paul employs archival records from the US State Department to question existing theories of globalization which present state sovereignty in decline vis-à-vis ‘globalizing’ media companies. Paul's interests in emerging digital media can be seen in his publications on 360° VR films and in work he is developing on the conections between the history of CGI and the 'deepfake'. His work on the horror film includes articles on the filmmaker David Cronenberg and work on early British horror for the BFI's Screenonline. British cinema history Hollywood and US cultural diplomacy Emerging digital media The horror film Paul's teaching experience includes a wide range of undergraduate and postgraduate courses across the film and media disciplines, including modules which focus on digital media practice. He is the module leader for CO1600 Media Production I: Non-Fiction, in which students analyse and produce a range of digital media, including video essays and short documentary films. He also leads CO2601 Media Production II: Fiction, in which students are introduced to screenwriting and the production of a short fiction film. Paul also teaches on SO1700 Making Sense of Culture and Society: Issues I, in which his lectures focus on disruptive emerging digital media, including the phenomenon of the 'deepfake' and the ethics of online privacy. In additon to this, he has established several extra-curricular projects that involved students working with media industry figures on funded short films and pioneered the development of an online interactive module for undergraduates on the principles of fiction filmmaking. Paul supervises dissertation students at both undergraduate and postgraduate level, and was part of the project team which led the development of a new practice pathway on the MSc Media and Communications, launching in 2022.

Dr Rumyana Neykova Dr Rumyana Neykova is a lecturer at 明星八卦. She has a PhD from Imperial College London where she was also a fellow and a research associate. Her PhD focuses on development and applications of a type theory (called session types) for runtime verification of concurrent and distributed systems. Her body of work builds on the foundations of concurrency theory and type systems to offer practical, yet rigorous, verification techniques for distributed systems. She utilises type systems, formal methods, model checkers, compiling techniques, and code generation to help prevent communication faults (such as deadlocks and communication mismatches), increase software reliability, improve performance, assist the software development process, and enhance software understanding. I am teaching on the following modules: Year 1: CS1005 Logic and Computation Year 2: CS2002 Software Developement and Management Year 3: CS3001 Advanced Topics in Computer Science I am supervising Final Year Undergraduate Project, as well as MSc Dissertations Teaching and Industry: I am advisor on 明星八卦 Talent Marketplace, where I am supervising projects between students and Industry.

Dr Pamela Nika Pamela Nika is a Lecturer in corporate and finance law at 明星八卦 University. She has recently obtained her PhD from the University of Reading. Her thesis titled ‘ECB Monetary Policy and Supervisory Powers: Competing Objectives and Policy Conflicts,’ critically assessed the role of European Central Bank in light of banking union and the centralisation of banking supervision at European Union level. Pamela also holds an LLM in International Commercial Law, with specialisation in Banking and Finance from City University London and a BA in Law from the University of Athens. Prior to joining 明星八卦, Pamela worked for the University of Reading and the University of Essex Online, where she has contributed in a number of LLM Modules. Pamela was also admitted to Athens Bar Association and practised law in areas such as commercial law, banking law and international transactions. banking law, financial regulation, fintech, digital currencies Pamela’s main research interests are in the areas of Financial Law and Regulation, Corporate and Finance Law, Corporate Insolvency and Law and Economics. Teaching Banking Law Theory of Financial Regulation Practice of Financial Regulation

Dr Emma Norris Dr Emma Norris is a Senior Lecturer in Public Health, within the Department of Health Sciences and Co-Chair of the Health Behaviour Change Research Group. She is Deputy Lead of the Division of Global Public Health and Lead of MSc Public Health and Behaviour Change (online). Dr Norris is a researcher in behaviour change and health psychology, exploring evidence synthesis of behaviour change interventions, as well as development and assessment of physical activity, smoking cessation and digital interventions. Before joining 明星八卦, Dr Norris was a Research Fellow at the Centre for Behaviour Change at University College London working on the Human Behaviour-Change Project: synthesising published literature on behaviour change using machine learning and Artificial Intelligence. Dr Norris' PhD tested Virtual Field Trips as physically active lesson interventions for primary-school children. Dr Norris is also an advocate for Open Science. She established and Chairs 明星八卦's Open Research Working Group and is 明星八卦's UK Reproducibility Network (UKRN) Local Network Lead. She is also interested in designing behaviour change interventions to facilitate Open Science behaviours in researchers. Dr Norris is a Fellow of the Higher Education Academy (FHEA). She is Co-Chair of the European Health Psychology Society’s Open Science Special Interest Group. Emma is an Associate Editor for Health Psychology & Behavioral Medicine and Cogent Psychology. Follow Dr Norris' research and updates on Bluesky: @emmajnorris.bsky.social Behaviour change, Health psychology, Intervention development, Physical Activity, Evidence synthesis, Ontologies, Open Science, Meta-Science Dr Norris’ research investigates the development and evaluation of behaviour change interventions using a range of theory and methods. Emma explores evidence synthesis for health interventions and behaviour change, using meta-analyses, systematic reviews and innovative methods such as ontologies. Emma is also interested in increasing uptake of Open Science behaviours in researchers.

Dr Billur Ozgul I joined the School of Social and Political Sciences as a Lecturer in August 2019, where I have since taught students across communication, journalism, sociology, and political communication programs. Prior to that, I was a Lecturer in Politics in the Faculty of Media and Communication at Bournemouth University. My research interests lie in the fields of media and politics with a particular focus on digital media, political participation and the Middle East. Having completed my PhD in Politics at Royal Holloway, University of London, I undertook research in a broad range of fields, such as the role of information communication technologies (ICTs) in periods of protest, comparative political analysis of digitally mediated movements, and social, political and cultural impact of ICTs. My first monograph, Leading protests in the digital age: Youth activism in Egypt and Syria, published by Palgrave Macmillan in 2019. Since 2012, I have had an established record of working as a researcher on multi-disciplinary research projects with Royal Holloway, Open University and Reuters Institute for the 明星八卦 of Journalism at Oxford University. I have also experience working with industry, carried out social media research with the BBC World Service and British Council exploring how social media users around the world responded to their programmes (For further information please see: I work on the British Academy project on vaccine-hesitant minority communities and investigate social, cultural, and political factors underlying vaccine hesitant beliefs and ideas amongst minoritised communities in the United Kingdom (UK) and the United States of America (US). For further information please see: Comparative Analysis of Alternative Media Organisations Comparative Political Analysis of Digitally Mediated Movements The Role of ICTs and Emotions in Periods of Protests Social, Political and Cultural Impact of ICTs L4 Digital Media Landscape (Convenor) L5 Journalism, Politics and Power (Convenor) L6 Media, Social Movements and Change (Convenor) L7 Political Communication (Convenor) L7 Researching Social and Political Sciences (Convenor) L7 Strategic communication L6 Journalism and Sociology/Communication Dissertation Convenor

Dr Alessandro Pandini My research activity focuses on the development and application of computational methods to study protein dynamics and its role in protein-ligand binding, protein-protein interactions, and protein design. I obtained my PhD in Computational Chemistry at the University of Milan-Bicocca under the supervision of Prof. Laura Bonati. As part of her research group I contributed to the unveil the molecular mechanism of toxic response mediated by binding of dioxins to the Aryl hydrocarbon Receptor. In 2008 I was awarded a Marie Curie Inter European Fellowship to work at the MRC National Institute for Medical Research (NIMR) under the supervision of Dr. Willie R. Taylor and Dr. Jens Kleinjung. From 2011 to 2014 he was a BBSRC-funded postdoctoral research assistant in the group of Prof. Franca Fraternali at King’s College London working on methods to investigate allosteric regulation, and to analyse protein-protein interaction interfaces and networks. During my career I developed and applied novel approaches combining structural bioinformatics and molecular simulation to address challenging biological questions, especially in relation to protein function, allosteric regulation and drug design. I introduced novel points of view in the definition of the limits and potential of molecular docking on theoretical models and in the use of molecular dynamics for drug design and medicinal chemistry. In particular, I developed an innovative computational method to detect local functional motions and to describe allosteric transmission in protein structures. Most recently, in collaboration with Dr. Arianna Fornili (QMUL), I contributed to the development of a novel strategy for biasing the sampling of local states to drive the global conformational transitions in proteins. In collaboration with Dr. Shahid Khan (LBNL – Berkeley Lab) and Dr. Willie Taylor, I have contributed to explain the relationships between residue coevolution and molecular dynamics in two bacterial ring assemblies.

Dr Ben Parker Academic with research interests in Design and Analysis of Experiments; Statistics of Networks and related areas. Design of Experiments, particularly optimal design; statistics of networks, specialising in data communications networks and social networks; statistical inference of queues; computer simulation. Computational statistics, particularly algorithms for design. Biostatistics.

Dr Francesco De Pascalis Dr Francesco De Pascalis joined 明星八卦 Law School in 2017. Before that, he worked as a research fellow at the 'Chair for Law and Finance' held by Professor Kern Alexander at the University of Zurich, which he joined in 2013. He has also taught, as external lecturer, at the Institute of Advanced Legal Studies (IALS), University of London. He qualified as a Solicitor in Italy in 2008. Dr De Pascalis currently holds external examiner positions at the University of Glasgow-Law School. Dr De Pascalis's research interests include banking and finance law, financial regulation, digital finance and technology, and sustainable finance. his monograph Credit Ratings and Market Over-reliance: An International Legal Analysis (Brill-Nijoff 2017) is the first book analysing, from a legal perspective, the phenomenon of ivestors' over-reliance on external credit ratings and providing a critical assessment of the post-crisis regulatory strategies to tackle the phenomenon in question. At present, Dr De Pascalis is working on two book projects: Open Banking: Global Development and Regulation (forthcoming Routledge 2023) in co-authorship with Dr Monomita Nandy (明星八卦 Business School) and Dr Alan Brener (UCL), which will be part of the Routledge International Studies in Money and Banking series'; and Principles of Law and Finance (forthcoming Edward Elgar 2026). Dr De Pascalis has presented his research and delivered workshops/masterclasses in the UK and abroad (inter alia Norway, The Netherlands, Belgium). He is member of the editorial board of top academic journal such as Law and Financial Markets Review (Taylor and Francis). His research ahs been published in established academic journals such as the International and Comparative Corporate Law Journal, European Business Law Review, Capital Markets Law Journal, European Journal of Law Reforms, Business Law Review, King's Law Journal, and in edited collections. He served three years (2019-2021) as co-convener of the UK Society of Legal Scholars (SLS) Banking and Financial Services Law Section. He is also Fellow of the Society of Advanced Legal Studies, Fellow of the European Law Institute, and Honorary Fellow of the Asian Institute of International Financial Law (AIIFL) University of Hong Kong. Dr De Pascalis is member of the Centre for AI: Social and Digital Innovation (明星八卦 University), the Research Centre for Law, Economics and Finance (明星八卦 University) and of the Research Network on Sustainable Finance (University of Zurich). At 明星八卦 Law School he teaches the following courses at the undergraduate and postgraduate levels: Banking Law, Theory of International Financial Regulation (module leader), Practice of International Financial Regulation, Banking and Technology Law). Qualifications: Fellow of Higher Education Academy PHD, IALS University of London LLM in Banking and Finance Law, Queen Mary university of London Master's degree in Advanced Studies of EU and Transnational Law, University of Trento (Italy) LLB, University of Parma (Italy) Registered lawyer (Verona Bar Association) Francesco's research interests are in the areas of Banking and Finance. He is author of the book Credit Ratings and Market Over-reliance: An International Legal Analysis (Brill-Nijhoff 2017) as well as a range of articles in leading academic journals. Banking Law and Regulation EU Financial Law International Financial Regulation Regulation of Financial Markets Financial Technology and Digitalisation of Financial Services Banking Law EU Law Theory of International Financial Regulation Practice of International Financial Regulation Banking and Tech Law

Dr Annette Payne Having gained a PhD in 1992 in Molecular Biology from the Royal Postgraduate Medical College, University of London I undertook two post doctorial positions; the first at the National Heart and Lung Institute, University of London researching the molecular biology of atherosclerosis, the second at The Institute of Ophthalmology, University of London researching the molecular genetics of retinal diseases, before joining 明星八卦 Dept. of Bioscience in 2000. I have since transferred to the Department of Computer Science as my interest in computational biology grew. I have now additional research interests in technology and computer assisted learning, and the use of technology to monitor and manage medical conditions. I have over 100 peer reviewed publications many of them can be found on my Research Gate profile at These publications highly cited over 2000 times by other researchers (RG score of over 35 most months, and a ISI h-index of 31). I a Research Interest Score that is higher than 92% of researchers in my field. Disciplines Data Mining Human-computer Interaction Computing in Mathematics, Natural Science, Engineering and Medicine Bioinformatics Molecular Biology Systems Biology Skills and expertise Human Genetics Next Generation Sequencing Gene Expression Genomics Transcriptomics E-Learning Blended Learning TEL Synthetic Biology Bioinformatics and Computational Biology My research interests are divided into two areas: 1. Computational and systems biology, including machine learning, bioinformatics and medical informatics. 2. Technology assisted learning, including e-learning, blended learning, cross discipline use of technology in the arts and design. As well as supervising PhD students in my areas of interest I teach the following modules: Ethics and Governance Data and Information Management Group projects Dissertations

Dr Mellissa Prunty Mellissa is the Divisional Lead for Occupational Therapy at 明星八卦. She is a children's Occupational Therapist by background. She qualified from the MSc (pre-reg) programme at Glasgow Caledonian University in 2010. She previously completed a BSc (Hons) in Kinesiology at Memorial University of Newfoundland in Canada, while on athletic scholarship for women’s basketball. She completed her PhD on handwriting difficulties in children with Developmental Coordination Disorder (DCD), which she undertook at Oxford Brookes University under the supervision of Prof. Anna Barnett, Dr. Mandy Plumb and Dr. Kate Wilmut. Mellissa has worked in a variety of childrens' services and specialises in working with children with coordination difficulties. She founded the children's occupational therapy research clinic at the university which investigates key skills and participation in childhood including handwriting, activities of daily living and cycling. The clinic currently offers placements to occupational therapy students at the university. Separate to this Mellissa co-led the development of wheelchair basketball and disability sport on campus. She has organised a series of inter-professional training days for health care students and has incorporated wheelchair basketball into the occupational therapy curriculum. The wheelchair basketball project has now expanded into the local community and a new club for children and adults is now underway (明星八卦 Bulls). Mellissa joined 明星八卦 as a Lecturer in October 2013.

Dr Cigdem Sengul Cigdem has more than ten years of experience in research and development in mobile and wireless networks in both academia and industry. She has been working on standards for building privacy and trust in the Internet of Things during her time at Nominet as a Senior Researcher (2015-2019). Between 2012-2015, she worked as a Senior Lecturer at Oxford Brookes University, where she lectured and conducted research on wireless and mobile networks, with a particular focus on energy and interference efficiency, and Internet of Robotic Things. From 2008-2012, she was with Telekom Innovation Labs (the main research unit of Deutsche Telekom) as a Senior Research Scientist leading projects on Wireless Mesh Networks. Her work has been published in more than 50 journal and conference publications. She is a Fulbright, Department of Computer Science, UIUC and Vodafone fellow. Cigdem is a passionate advocate of increasing diversity awareness in computing. She is the Communication Co-Chair of ACM Women. Between 2019-2022, she was the Communication and Outreach Chair of ACM Women-Europe. She collaborates with the Micro:bit Educational Foundation to support their mission of teaching coding to school children. She is the co-author of the Networking with the Micro:bit book. While we think the Internet mostly composed of traditional computers and networks, this view cannot withstand the evolution of technologies such as the Internet of Things. Internet of Things (IoT) refers to a "system of interconnections between digital technologies and physical objects that enable (traditionally mundane) objects to exhibit computing properties and interact with another with or without human intervention." As IoT, interactive technologies such as augmented reality, and personalised digital experience with, e.g. wearable devices mature, we will have more "ambient computing" with tight integration between humans and technology. Complemented with advances in machine learning and artificial intelligence, these systems will have a powerful impact on society. Internet-based technologies have been transformational creating value and enabling progress in many ways, but it is important to acknowledge the potential of real harms if the rights and safety of people are not protected. Therefore, my research is on trustworthy systems which provide higher degrees of trust for service providers and their users by improving the transparency, accountability, and controllability of the Internet at the network and applications level. The goal is to create systems that are not a "black box" to their users, but systems with transparency, accountability, and controllability properties. Creating trustworthy systems requires solving a wide range of cross-disciplinary challenges, for instance in the fields of digital ethics, privacy-enhancing technologies, computer systems, networks and their security, business and education. My main areas of work focus on:- Internet of Things: From Device to Edge, and Cloud- Security, Privacy and Trust by Design- Citizen-centricity and citizen-driven solutions for smart systems- Real experimentation, deployments, open platforms Internet of Things, Security and Privacy, Personal Data Protection. I am the module leader for CS2001 - Year 2 Project. I also supervise FYP Projects. If you would like to do an FYP project with me, here are my interests informed my teaching, research and service. My research area is on the Internet of Things, with an emphasis on privacy and security. Lately, I’ve been contributing to the standardisation efforts in access control for constrained environments in the IETF (Internet Engineering Task Force). I also work on physical computing for teaching networking, e.g. with BBC micro:bits. Finally, I am the Athena SWAN chair, and equality and diversity champion and would be interested in exploring computing projects that aim to improve diversity. I would be interested in supervising projects with any of the following elements: Security in IoT Data protection and privacy especially in IoT Physical-computing for computer science education. Networks simulation, and data analysis Example project ideas Privacy and Data Protection Automatic user privacy policy generation based on user consent Scenario exploration games to learn from user privacy sensitivities in smart homes (something like Education with Physical Computing Radio-based games for networking or AI education with BBC micro:bits IoT, Computer Networks and Security The implementation of encrypted publish-subscribe group communication as described in the IETF ACE Pub-Sub profile Securing MQTT for Sensor Networks (MQTT-SN) based on the IETF ACE (Authentication and Authorization in Constrained Environments) framework Diversity Analysis of Gender Diversity in Wikipedia using data pulled from WikiMedia API. Happy to talk to students about their own ideas.

Professor Martin Shepperd Martin Shepperd received a PhD in computer science from the Open University in 1991 for his work in measurement theory, many sorted algebras and their application to empirical software engineering. He was seconded to the Parliamentary Office of Science & Technology. Presently he is Head of Department and holds the chair of Software Technology and Modelling at 明星八卦, UK. He has published more than 150 refereed papers and three books in the areas of software engineering and machine learning. He is a fellow of the British Computer Society. Previously Martin has worked as a software developer for HSBC. Software engineering, Empirical research, Cost modelling and prediction, Machine learning (including case-based reasoning, metaheuristics, rule induction algorithms and Grey relational algebra), Data imputation and noise handling, Reproducibility, replicability and meta-analysis. Introductory data science (CS5702 Modern Data) to the MSc students and Research methods to the doctoral students (CS5767).

Dr David Smith I initially came to 明星八卦 in 2004 as a research associate responsible for developing and testing imaging and spectroscopy detectors for use in space before being appointed as a lecturer in 2006. I currently work in the Sensors and Instrumentation Research Group carrying out radiation testing and characterisation of solid-state imaging and spectroscopy sensors and developing new dosimetry techniques for space and terrestrial applications. I have been involved with undergraduate and postgraduate teaching throughout my time at 明星八卦 and I have developed and taught courses on different aspects of physics, sensors and instrumentation, computer programming and analogue electronics. The use and development of charge-coupled devices (CCDs) for space based instruments The development of photon detection systems for particle physics applications The radiation and particulate components of space weather and its many effects on the operation of imaging systems Radiation measurement techniques The design and development of public understanding of science literature and materials Current teaching: BE1610 – Engineering Systems and Energy I EE2658 – Professional Practices and Business for Engineers EE3634 – Engineering Management and Quality Engineering EE5566 / EE5656 – Advanced Analogue Electronics and Photonics EE5625 / EE5655 – Engineering Ethics and Sustainability EE5626 – AEEE Group Project Past teaching: BE1611 – Engineering Systems and Energy II BE1706 / BE1603 – Engineering Systems and Energy EE1624 – Electronics Principles EE1061 – Devices and Circuits EE1068 / EE1085 – Electronic and Computer Engineering Workshops EE1070 – Introduction to Programming in Java EE5609 / EE5651 – Analogue Integrated Circuit Design EE5617 – Applied Sensors Instrumentation and Control EE5618 – AEEE Group Project DM1313 – Creative Engineering Practice ME0005 – Foundations of Physics Level 1 Multi-Disciplinary Project (MDP) Coordinator University of Glasgow invited lecturer on the international Space Mission Analysis and Design MSc programme

Dr Stephen Swift Dr. Stephen Swift is a Research Lecturer in the School of Information Systems, Computing and Mathematics at 明星八卦. He received a B.Sc. degree in Mathematics and Computing from the University of Kent, Canterbury, U.K., an M.Sc. in Artificial Intelligence from Cranfield University, Cranfield, U.K. and a Ph.D. degree in Intelligent Data Analysis from Birkbeck College, University of London, London, U.K. He has four years post-doctoral research experience on an EPSRC funded project entitled 鈥淢odelling Short Multivariate Time Series鈥� (involving Moorfields Eye Hospital) GR/M94120) and a BBSRC funded project entitled 鈥淎nalysing Virus Gene Expression Data to understand Regulatory Interactions鈥� (BIO14300) in collaboration with the Departments of Virology and Biochemistry at University College London and the School of Computer Science and Information Systems, Birkbeck College. He has also spent four years in industry as a web designer, programmer and technical architect. Research interests include multivariate time series analysis, heuristic search, data clustering, and evolutionary computation. He has applied his research to a number of real world areas including Software Engineering, Bioinformatics and Health Care.

Professor Simon Taylor imon J E Taylor is a Professor of Computer Science specialising in Modelling & Simulation and Digital Infrastructures. He has made many contributions to manufacturing, health care and international development. He has worked with international consortia (in particular UNICT, WACREN and the UBUNTUNET ALLIANCE) to contribute to the development of National Research and Education Networks in Africa that has impacted over 3 million students and 300 universities. He has also worked with international consortia (in particular Saker Solutions, the University of Westminster, SZTAKI and CloudSME UG) to develop high performance simulation systems that are being used by over 30 European SMEs and large-scale enterprises such as the Ford Motor Company and Sellafield PLC. He continues to work closely with industry - his work has led to over £30M of savings and new products in industry. He also contributes to the development of Open Science principles and practice for Africa and for Modelling & Simulation as a field. He has led modules in distributed computing in the Department of Computer Science for many years with high module evaluations scores and is an enthusiastic teacher. He has also led the development of several postgraduate degrees. He has supervised over 20 doctoral students, has examined more than 25 doctoral students from across the world and has managed over 15 research fellows. Professor Taylor co-founded and is a former Editor-in-Chief of the Journal of Simulation and the UK Operational Research Society Simulation Workshop Series. He chaired ACM SIGSIM between 2005-2008 and since then has been an active member of the ACM SIGSIM Steering Committee. He is also the General Chair for the 2025 Winter Simulation Conference. He has chaired international standardisation groups under the Simulation Interoperability Standards Organization and has conducted several organisational review panels (e.g., DSTL) and simulation audits. He is currently the executive chair for the annual Simulation Exploration Experience ( and a member of the Computer Simulation Archive steering committee ( He has also chaired several conferences and is the General Chair for the IEEE/ACM 2025 Winter Simulation Conference. Interested in the history of computer simulation? Visit the Computer Simulation Archive hosted by NCSU and hear talks from some of the pioneers in computer simulation. I am strongly interested in Modelling & Simulation and Digital Infrastructures, particularly in the development of high performance simulation infrastructures and services in industry and health care. These are extremely important as it allows users to perform more simulation experimentation and to get deeper insight into their problems. This has openned up a new area of study that is allowing us to develop novel AI-based optimisation techniques for Modelling & Simulation that leverage our high performance simulation infrastructures that we have already deployed in industry (e.g., Ford, Saker Solutions and Sellafield). In parallel with these interests I have been able to work towards the development of digital infrastructures and services in Africa. This has contributed to the rapid development of African National Research and Education Networks and the foundation for African Open Science. This work continues and we are working with African stakeholders to further develop African Open Science and Data Science approaches across the continent. In turn these experiences have enabled me to contribute to Open Science techniques for Modelling & Simulation, as well as Open Science at 明星八卦. Modelling & Simulation Digital Infrastructures and Services Cloud Computing International Development Open Science I teach a variety of subjects from Modelling & Simulation to Distributed Computing at Undergraduate, Postgraduate and National levels (e.g. NATCOR). I also support student projects and (unpaid) internships in these areas.

Dr Liliana Teodorescu Liliana has joined 明星八卦 University as a Research Fellow, then as a Lecturer progressing to the current Reader position in the College of Engineering, Design and Physical Sciences. She has previously been a Research Fellow at Istituto Nazionale di Fisica Nucleare (INFN), Pisa, Italy, and a Visiting Researcher at Stanford Linear Accelerator Centre (SLAC), USA, and at Thomas Jefferson National Accelerator Facility (Jefferson Lab), USA. Liliana has a diverse experience acquired participating in international large-scale high and medium energy particle and nuclear physics experiments. She combines physics with computer science/engineering and radiation detection instrumentation both in her research and teaching. She has experience in research supervision both at doctoral and post-doctoral level. Liliana served the scientific community by organising high-profile international events at 明星八卦 University such as the 14th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT), and the 33rd CERN School of Computing. She continues her involvement in these events. She also serves as a grant reviewer for the Royal Societ, UKRI and various international organisations. She is a regular reviewer for the scientific journals in her area of research. Liliana is a Fellow of Higher Education Academy (HEA), and a member of the Institution of Engineering and Technology (IET). Liliana's most recent research project is the Electron-Proton/Ion Collider (ePIC) experiment at the Electron Ion Collider (EIC) under development at Brookhaven National Laboratory, USA. She contributes to the development of the core part of the ePIC tracking system based on Monolithic Active Pixel Sensors. These are highly specilised silicon based pixel sensors developed in the most advanced CMOS technologies. In addition, Liliana works on development of Artificial Intelligence algorithms for particle and nuclear physics experiments, and their extensions to solving real-world problems. She has started in this field well before the current machine learning revolution, when she has pioneered the application of Gene Expression Programming (a variant of Evolutionary Computation) as a machine learning algorithm to particle physics. She is also interested in combining physics with computer science in other innovative ways, investigating physics-inspired computer algorithms. Her guest lecture at 2019 CERN School of Computing is an introduction to this topic. Liliana was a member of the CMS collaboration which runs the high-energy particle physics experiment Compact Muon Solenoid (CMS) at CERN (European Laboratory for Participle Physics), Switzerland. She has contributions to the R&D and construction of the microstrip silicon sensor particle tracking system, to the early multivariate statistics analysis (machine learning) methodologies (having been member of the CMS Statistics Committee), and to the data analysis of the experiment. She was also 明星八卦 University CMS Deputy Group Leader. She co-authored the discovery of the Higgs boson with the CMS Collaboration, discovery which provided the experimental basis for the Nobel Prize in Physics in 2013. She was a member of the Babar collaboration which run the medium-energy particle-physics experiment with the same name at Stanford Linear Accelerator Centre (SLAC), USA, where she contributed to the operation of the experiment (having been Deputy Run Coordinator) and to the data analysis. She co-authored the CP (Charge Parity) violation measurements with Babar Collaboration which provided the experimental basis for the Nobel Prize in Physics in 2008. Her PhD studies were on the electroproduction of kaons and baryons at medium energies at Thomas Jefferson National Accelerator Facility (Jefferson Lab), USA. She performed the first measurement of the polarisation of the Lambda particle produced in an electroproduction reaction. Liliana’s teaching activity comprises a range of subjects which varies from Physics to Software Engineering and to Artificial Intelligence. At 明星八卦 University, she teaches Artificial Intelligence, Software Development/Programming, Software Engineering and Technology, and Electronics. She has also been the proponent and the coordinator of a Master program on Scientific Computing for High Energy Physics based on the CERN School of Computing she organised at 明星八卦 University. Previously she has taught physics subjects such as Particle Physics, Nuclear Physics, and Automatic Processing of Data in Physics. Academic administrative responsibilities Liliana is currently the departamental Industrial Placement Coordinator. Her role implies organising the student work-placement activities and developing links with industry and other prospective employers. She was previously Chair of Board of Examiners, and UCAS interview coordinator.

Ms Jou Yin Teoh I am the Senior Tutor for the London School of Occupational Therapy, with a track record of enhancing student experience through Racial and Cultural Equity, Digital Accessibility, as well as International Student Support. My work in this regard has received the University's highest accolades for ‘exceptional contribution to teaching and student experience’ - winning the 明星八卦 Student-Led Awards and Ken Darby-Dowman prize. Additionally, my research on co-producing inclusive learning was featured in the Council of Deans of Health report on Anti-Racism in Allied Health Professions Education, shortlisted for the BUL Research Impact Awards in the Educational Impact category; as well as the NHS England Chief Allied Health Officers' Award for Leadership in Equality, Diversity and Inclusion. I use co-production and participatory methologies including the Kawa Model to research power dynamics and level the playing field for occupational therapy workforce learning and development in the UK; through scrutinising, challenging, resisting and repairing systemic injustices. My PhD exploring the Hidden Curriculum of Occupational Therapy Education is pending completion, supported by the supervisory committee of of Dr Sofia Barbosa Bouças (Division of Psychology), Dr Geeta Ludhra (Dept of Education) Dr Terry Roberts (Division of Bioscienes) and Dr Michael Iwama (Duke University, USA). Some of my career highlights include: Chair of the Royal College of Occupational Therapists Learning and Development Board (2023-2024) Fellow with the Council of Deans of Health, first occupational therapist to be appointed as part of the inaugural cohort (2022-2023). Professional Lead for Occupational Therapy at Kuala Lumpur Metropolitan University College (2016-2017), first woman of minoritized ethnoreligious background to be appointed in this position in the history of Malaysian Higher Education Pre-academia: occupational therapy entrepreneur with a special interest in social innovation for public health in the Global South; particularly in the integration of digital and community-centered approaches to build and run systems that contribute towards addressing disparities that affect health and well-being. I also contribute towards the wider academic and professional community via the following: Editorial Board member for peer-reviewed journals: the Phillipine Journal of Allied Health Sciences and Neuroscience Research Notes. Mentoring with Academic Intersectionality Mentoring in Medical Schools and BAMEOTUK Network occupational therapy workforce learning and development global public health and health promotion relevant to occupational therapy practice co-production and participatory approaches, including the Kawa Model

Professor Allan Tucker Allan Tucker is Professor of Artificial Intelligence in the Department of Computer Science where he heads the Intelligent Data Analysis Group consisting of 17 academic staff, 15 PhD students and 4 post-docs. He has been researching Artificial Intelligence and Data Analytics for 21 years and has published 120 peer-reviewed journal and conference papers on data modelling and analysis. His research work includes long-term projects with Moorfields Eye Hospital where he has been developing pseudo-time models of eye disease (EPSRC - £320k) and with DEFRA on modelling fish population dynamics using state space and Bayesian techniques (NERC - £80k). Currently, he has projects with Google, the University of Pavia Italy, the Royal Free Hospital, UCL, Zoological Society of London and the Royal Botanical Gardens at Kew. He was academic lead on an Innovate UK, Regulators’ Pioneer Fund (£740k) with the Medical and Health Regulatory Authority on benchmarking AI apps for the NHS, and another on detecting significant changes in Adaptive AI Models of Healthcare (£195k). He is currently academic lead on two Pioneer Funds on Explainability of AI (£168k) and In-Silico Trials (£750k). He serves regularly on the PC of the top AI conferences (including IJCAI, AAAI, and ECML) and is on the editorial board for the Journal of Biomedical Informatics. He hosted a special track on "Explainable AI" at the IEEE conference on Computer Based Medical Systems in 2019 and was general chair for AI in Medicine 2021. He has been widely consulted on the ethical and practical implications of AI in health and medical research by the NHS, and the use of machine learning for modelling fisheries data by numerous government thinktanks and academia. Data Mining / Data Science Machine Learning Artificial Intelligence Bayesian Networks Big Data Biomedical Informatics Eco Informatics I have designed and led the following modules: Business Intelligence (MSc) - at 明星八卦 (~150 students) and NITH, Oslo (~30 students) for 1 year. Machine Learning (MSc) - at 明星八卦 (~10 students) for 3 years. Logic and Computation (Level 1) - at 明星八卦 (~200 students) for 4 years. Artificial Intelligence option (level 3) - at 明星八卦 (~200 students) for 4 years. High Performance Computational Infrastructures (MSc) - at 明星八卦 (~30 students) for 1 year. Other teaching: • JAVA programming (level 1) - at 明星八卦 (~200 students) for 5 years. • Masters level Statistics course - at 明星八卦 Graduate School (~10 students) for 1 year.

Dr Bin Wang Bin Wang graduated with BEng (1985) in Solid Mechanics from Xi’an Jiaotong University, MSc (1988) by research in Dynamics and PhD (1991) in Applied Mechanics, both from University of Manchester (formerly UMIST). He had been an academic staff member of Nanyany Technological University (Singapore), Deakin (Australia), 明星八卦, Manchester and Aberdeen University before returning to 明星八卦 in July 2011. At 明星八卦 he has held roles as the Chairperson of the Board of 明星八卦 in Mechanical, Aerospace and Automotive Engineering, Year 1 Tutor, Programme Director of MSc Structural Integrity, and now the Vice Dean Internatioanl of the College. Dr Wang’s expertise is in Applied Mechanics, including stress and strain analysis, dynamics and impact mechanics. He also conducts research in reliability and safety analysis with application in energy and medical areas. His research contributed to the British Energy’s R3 document on Impact Assessment of nuclear power plants. Under the title Shooting Cancers, his research also presented at the Royal Society Summer Science Exhibition (2004). Dr. Wang is also one of the inventors of a patented knee implant which is a leading product in the North American market. Structural response under impact Material behaviour under high strain rate loading Design of energy absorption systems Foams, cellulous and sandwich materials Biomaterials and surgical devices Nano scale materials Uncertainty, Reliability and Parametric Sensitivity Multi-physics phenomenon Dr. Wang has delivered a wide range of subjects in the subject area of Applied Mechanics at both undergraduate and postgraduate levels, including Strength of Materials, Vector Calculus, Vibration and Machine Dynamics, Plasticity, Mechanism and Design, Advanced Reliability Analysis, Fracture and Fatigue, etc. Current teaching modules: ME3062/ME3092 FEA, CFD and Design of Engineering Systems MN5561 Computer Aided Design 2

Dr Fang Wang Dr Fang Wang is a Senior Lecturer in the Department of Computer Science at 明星八卦. She received a PhD in artificial intelligence from the University of Edinburgh and worked as a senior researcher in the research centre of British Telecom (BT) Group, before she joined 明星八卦 in 2010. Dr. Wang has published a number of papers in books, journals and conferences and filed a series of patents. Dr. Wang is an established teacher and researcher in computer science and artificial intelligence. Her research interests include nature-inspired computing, agents, intelligent information processing, intelligent distributed computing, cognitive radio networks, e-learning and cloud education, cognitive science and computer vision. She actively participated in a number of EU, EPSRC, BT long term research projects and received several technical awards, including the Gordon Radley Technical Premium Highly Commended award of BT and ACM Best Student Paper Award at the Third International Conference on Autonomous Agents. She is on the editorial boards of several international journals and serves on many program committees. Dr. Wang鈥檚 main research interest is in artificial intelligence and its applications. This includes using nature-inspired techniques such as intelligent agents, swarm intelligence, evolutionary computing and neural networks to solve real world applications such as network optimisation, radio spectrum management, decentralised computing, user analysis, self-organising communities, and so on. Lectured, administered, tutored and examined courses at undergraduate and MSc levels on topics including Introduction to programming, Algorithms and their applications, Systems in Context, Digital Innovation, level 1 and level 2 group projects and final year projects. Class sizes varied from 8 to 350. Supervised a number of undergraduate and MSc projects.

Professor Zidong Wang Zidong Wang is a member of Academia Europaea, a Member of the European Academy of Sciences and Arts, an IEEE Fellow and Professor of Computing at 明星八卦, UK. He has research interests in intelligent data analysis, statistical signal processing and dynamic systems & control. He has been named as the Hottest Scientific Researcher in 2012 in the area of Big Data and listed as highly cited researchers in categories of both computer science and engineering in 2015-2020 with an h-index of 139. He is currently serving as the Editor-in-Chief for International Journal of Systems Science, the Editor-in-Chief for Neurocomputing, the Editor-in-Chief for Systems Science and Control Engineering, and Associate Editor for other 12 prestigious journals including 5 IEEE Transactions. His research has been funded by the EU, the Royal Society and the EPSRC. Intelligent Data Analysis (Data modelling, Data mining, Data classification, Data quality evaluation, Neural Networks, Fuzzy systems, Statistical identification), Statistical Signal Processing (Digital filter design, Envelope-constrained filter, Signal processing for uncertain systems, Optimal filtering and deconvolution, Multi-rate and filter banks), Dynamical Systems and Control (Stochastic control, Robust control and estimation, H-infinity control, Model reduction, Sampled-data systems, Time-delay systems, Nonlinear systems, Multi-dimensional systems, Fuzzy control, Robot control). Introduction to Computing, Artificial Intelligence, Data and Information, Construction of Programs, Software Engineering Methods

Dr Faye Wang Dr Faye Fangfei Wang is Senior Lecturer in law (2011- ) at 明星八卦 Law School (BLS). She is also international fellow at the Centre for Chinese Law at the University of Hong Kong. She has served as convenor of the Society of Legal Scholars (SLS) Cyberlaw Section (2009-2016) in the UK. She has served as Director for Undergraduate Studies; and Director PGR and PhD Programme Leader at the BLS. She has held academic positions such as lecturer, senior lecturer and co-Director for an established IP research centre since 2007 prior to joining the BLS. Dr Wang specialises in cyberlaw, most particularly from the private law perspective, covering the topics of contract law, commercial law, private international law, online dispute resolution, privacy, data protection and digital IP Rights. Her reserach considers how law is challenged by the innovation of technology in both common and civil law systems. Being educated both in law and computer science, she has published five monographs in her relevant research fields. Her recent book, Online Arbitration (Routledge, 2017), examined the legal feasibility of online arbitration in the age of artificial intelligence. Her recent article ‘Online Dispute Resolution Simulation: Shaping the Curriculum for Digital Lawyering’ shared her teaching experience of shaping our students with legal and digital skills. ( Her other article on ‘Legislative Developments in Cybersecurity in the EU’ offered insights into how to achieve the highest levels of cybersecurity. ( Dr Wang’s evidential report and speech on “AI and Intellectual Property Rights: IPR Protection for AI-Created Work” for the evidence meeting of the All-Party Parliamentary Group on Artificial Intelligence on 24 January 2022 is available at Her updated article on ‘Copyright Protection for AI-Generated Works: Solutions to Further Challenges from Generative AI’ is available at Dr Wang is the author of five monographs: Online Arbitration, Informa Law, 2018; Law of Electronic Commercial Transactions, Routledge, 2nd Edition, 2014; Internet Jurisdiction and Choice of Law, Cambridge University Press, 2010; Law of Electronic Commercial Transactions, Routledge, 2010; and Online Dispute Resolution, Chandos publishing, 2008. Qualifications: LLB Law, Guangdong University of Foreign Studies (GDUFS), China Diploma in Computer Science & Application, GDUFS LLM Commercial Law, University of Aberdeen PhD Law, University of Southampton Cyberlaw Private International Law Online Dispute Resolution Arbitration and alternative dispute resolution Contract; Intellectual property International trade law Internet law Privacy and data protection Contract Law; International Commercial Arbitration; Internet Law; Tort Law; European Intellectual Property Law

Professor William Watkin William Watkin is Professor of Contemporary Philosophy and Literature. He has been at 明星八卦 University since 1999, and has held a personal Chair there since 2008. He is currently Director of Research for the Arts and Humanities Department, a position he has held more than once. During his time at 明星八卦 he has also served as Head of English and of the English and Creative Writing Division and Deputy Head of the School. Professor Watkin has extensive experience with research assessment. He wrote English’s successful RAE2008 bid, our first submission as a unit to the RAE. He then supervised the early stages of our successful REF 2014 bid, overseeing the school’s internal mock-REF. He took over the final stages of the REF2021 submission, creating a vision for the division "Transforming the Literary Landscape." This submission was highly commended by the university and resulted in one of the highest GPAs at 明星八卦. Prof. Watkin’s research profile is extremely well-established, highly-regarded, influential and wide-ranging. His main area of interest for the last decade has been the philosophy of indifference. Although a well-established philosopher, Watkin began his career working on contemporary poetics and literary theory and wrote three books in this area. The third of these "The Literary Agamben", was highly regarded by Agamben himself and paved the way for the second phase of Watkin's career as he transitioned from a literary theorist to a continental philosopher. Watkin is the world's leading expert on the philosophy of Giorgio Agamben. Of his fourth book "Agamben and Indifference" Agamben himself wrote: "Watkin has produced a work of astonishing originality, which any attempt to read twentieth-century philosophy will be obliged to confront”. Of the same book leading philosoher François Laruelle wrote: “Watkin’s sharp lens is indispensable for those who want to grasp a central aspect of contemporary philosophy." Watkin is also one of the leading voices on the philosophy of Alain Badiou having written two books on key concepts in Badiou's overall project: "Badiou and Indifferent Being" and "Badiou and Communicable Worlds". Watkin's seventh book, "Bioviolence: How the powers that be make us do what they want" applies his philosophy of indifference to biopolitical theory, another area where he has extensive expertise. "Bioviolence" is also the first attempt by Watkin to apply indifferential thought to contemporary, real-world examples. This project is continued in his next book "Herd Immunities: The Philosophy of Covid" which analyses the global pandemic using the indifferential reasoning he has developed in the earlier work. Watkin is a published journalist with articles in The Independent, The Week, Newsweek Europe, The Big Issue, The Conversation, The New Philosopher, TES and The White Review. He has made various media appearances, and is also also a blogger and film-maker. He has a strong interest in the internet, social media, disinformation and, more recently AI. He is also a painter and large abstract acrylics. Many of the covers of his books were painted by him. Research Areas: Continental philosophy: Agamben, Badiou, Derrida, Deleuze, Foucault, Kristeva, Nancy, Esposito Analytical philosophy: Extensional logic, Frege, Wittgenstein, Carnap, Quine Literary Theory Contemporary and Modern Poetics Violence Biopolitics Covid Social media, AI and digital culture Prof. Watkin will supervise projects on any aspects of the work of Agamben, Badiou, Nancy and Deleuze. Further he will consider supervising students on any areas of literary theory, continental philosophy, contemporary literature, experimental poetry and poetics in general. His current research interest is indifference as a development, completion and critique of discourses of difference that have predominated in the humanities for the last forty years. He just completed a monograph on the work of philosopher Giorgio Agamben in relation to indifference. Agamben is one of Watkin鈥檚 areas of specialisation, having published the first critical monograph on Agamben and literature in 2010. He is currently working on Deleuze and indifference. His other major project is a consideration of the complex relation between poetry and philosophy since Heidegger, which conceives of poetry/literature as a mode of thinking or, as Watkin calls it, logopoiesis. His 2010 Agamben monograph is part of a three volume study of logopoiesis which will include work on Nancy and Badiou in the years to come. Previously Watkin has published books on the New York School of poetry in relation to avant-gardism and theoretical consideration of literatures of mourning in the modern era. He has published numerous articles on contemporary experimental poetry: Ashbery, O鈥橦ara, Koch, Schulyer, Hejinian, Silliman, Bernstein, and Du Plessis Contemporary Poetry and Poetics Literature and Philosophy Contemporary Continental Philosophy: Agamben, Badiou, Deleuze, Nancy Indifference William Watkin has taught a wide variety of areas at 明星八卦. His current teaching interests revolve around the changing face of literary theory in the new millennium. He runs courses on the relation of philosophy to literature and the arts from the historical origins of aesthetics through to the most contemporary philosophical statements on aesthetics and literature. He has also taught contemporary literature for many years, specialising in contemporary poetry and poetics. He has a wider interest in poetics and has taught the history of poetry. Another interest is the avant-garde and experimentalism. He taught modernism and the avant-garde for many years and continues to run seminars on experimental, contemporary poetry. Activities: Key Publications: 鈥淭he Poetics of Presentation: Lyn Hejinian鈥檚 My Life Project and the work of Giorgio Agamben鈥� Textual Practice 2012. 鈥淭he / Turn and the 鈥� 鈥� Pause: Agamben, Derrida and the Stratification of Poetry鈥� in Textures Series, Lexington Press 2011. 鈥淧oetry鈥檚 Promiscuous Plurality: On a Part of Jean-Luc Nancy鈥檚 The Muses[PG1] 鈥� in Jean-Luc Nancy and Plural Thinking SUNY 2011. The Literary Agamben: Adventures in Logopoiesis (London: Continuum University Press, March 2010). 鈥淒errida鈥檚 Limits: Aporias between 鈥極usia and Gramm膿鈥�,鈥� Derrida Today 3.1 (2010): 113-136. 鈥淧rojective Recursion: The Structure of Ron Silliman鈥檚 Tjanting,鈥� Jacket 39 (2010). 鈥淭aking steps beyond elegy: poetry, philosophy, lineation, and death,鈥� Textual Practice 23.6 (2009): 1051-1065. 鈥淭he Materialization of Prose: Poiesis versus Dianoia in the work of Godzich & Kittay, Schklovsky, Silliman and Agamben,鈥� Paragraph 31.3 (2008): 344-364. 鈥溾�楽ystematic rule-governed violations of convention鈥�: Ron Silliman鈥檚 Poetic Procedures,鈥� Contemporary Literature 48.4, 2007: 499-529. 鈥淐ounterchange: Derrida鈥檚 Poetry,鈥� in Encountering Derrida: Legacies and Futures of Deconstruction (London: Continuum, 2007). On Mourning: Theories of Loss in Modern Literature. (Edinburgh University Press, 2004). 鈥淩evolution, Melancholia and Materiality in the Work of Julia Kristeva鈥�. Paragraph 26.3 (2003): 86-107. 鈥淔riendly Little Communities: Derrida鈥檚 Politics of Death.鈥� Strategies: Journal of Theory, Culture and Politics 15.2 (2002): 219-237. In the Process of Poetry: The New York School and the Avant-Garde. (Lewisburg, Penn.: Bucknell University Press, 2001). 鈥淧oetry Machines: Repetition in the Early Poetry of Kenneth Koch.鈥� EnterText 1.1 (Dec. 2000): 83-117.

Dr Jeff Wen I am currently involved in the teaching of software project management and programming modules. Prior to joining the University, I have worked in the industries since 2006 (media/entertainment and Semi-conductor) as a software engineer developing a wide range of software products including video streaming, 3D graphics/AI and hardware performance analysis for IoT platforms. I was a research fellow in EC SUNTool project at IESD(2003-2004) and e-Drama project at School of Computer Science, Birmingham University (2004-2006) in the areas of intelligent virtual agent and natural language processing. I have done research in the areas of intelligent virtual agent and natural languages processing, and more recently on technology enhanced learning and learning analytics. Software project management (Final Year) Java programming/Group project (Year 1) Research project management (MSc) Introduction to programming (Foundation year) (Module Leader)

Dr Paula Westenberger Dr Paula Westenberger is a Senior Lecturer in Intellectual Property Law at 明星八卦, where she teaches and convenes undergraduate and postgraduate intellectual property law modules at 明星八卦 Law School, and is a member of the Centre for Artificial Intelligence at 明星八卦 University. Paula joined 明星八卦 in 2018, having previously held positions at Queen Mary University of London and Buckinghamshire New University. She holds a PhD (with Scholarship awarded by the Centre for Commercial Law Studies) and an LLM in Intellectual Property Law from Queen Mary University of London (QMUL), and an LLB from the Pontifícia Universidade Católica of Rio de Janeiro (PUC-Rio), where she was also part of the Human Rights Centre research group "Simulações e Realidade". Her research interests cover the intersection between copyright law, human rights and culture, with particular focus on topics including limitations and exceptions to copyright, the use of digital technology by cultural heritage institutions, and the relationship between artistic freedom and copyright law. She is currently researching the interface between cultural heritage, artificial intelligence and copyright law. Paula is Deputy Editor for the European Copyright and Design Reports (ECDR), a member of the British Literary and Artistic Copyright Association (BLACA) and a peer reviewer for intellectual property law academic journals. Paula is a qualified lawyer in Brazil, where she has practiced in the field of intellectual property law. Paula's research interests cover the intersection between copyright law, human rights and culture, with particular focus on topics including limitations and exceptions to copyright, the use of digital technology by cultural heritage institutions, and the relationship between artistic freedom and copyright law. Paula is currently researching the interface between cultural heritage, artificial intelligence and copyright law. LLB: LX3071 Intellectual Property Law (module convenor) LLM: LX5646 International Intellectual Property Law (module convenor) LX5653 European and International Media Law (module convenor) LX5616 Privacy and Data Protection LX5621 Philosophical Foundations of Intellectual Property LX5642 Copyright, Design and Allied Rights LX5651 Cultural Heritage Law - Comparative and International Perspectives

Professor Olwyn Westwood Professor Olwyn Westwood has a wealth of experience within the diverse contexts of Higher Education, and committed to curriculum design, and shaping an environment where learners flourish. Having worked in routine diagnostic NHS pathology, she took a Ph.D in immunology and cell biology research, before making a successful transition into pedagogic practice and research, which led naturally to academic and leadership roles within post-1992 and Russell Group institutions. As an enthusiastic educator, she is keen that disciplines are accessible across the range of student demographics, and relevant and transferable to the 'World of Work'. Her research and pedagogic practice have been chiefly across the NHS and HE, working and collaborating with scientists and clinicians. As a reviewer for a number of medical and healthcare education journals, and a Principal Fellow of the Higher Education Academy, Olwyn Westwood is also an assessment advisor for the National Prescribing Safety Assessment, a Royal College membership examinations, and has a successful track record in research supervision and examination of Ph.D. and Masters Awards. With 10 years’ experience as a visitor for a Professional and Statutory Regulator, she is well-versed in education quality assurance and enhancement.As an international consultant in curriculum development in Malaysia, Brunei, China, Georgia, Australia, South Africa and Mexico with around 30 years’ experience in education design and delivery, she has a keen interest in technology-enhanced learning and developing flexible learning frameworks. Accordingly, cross-institution, faculty and external partnerships have facilitated her personal insight into the cultural, social and political requirements of professional and discipline-specific knowledge, skills, and assessment within the UK and for global education and research. ... see more Interests: Assessment of clinical competence Editorial Boards: Editorial Board: BMC Medical Education Reviewer for the following journals: BMC Medical Education BMJ Open Access Medical Education Nurse Education Today Postgraduate Medical Journal Guest Editor for the journal, ‘Rheumatology’, for a special issue on Medical Education in practice 2012 Selected National and International Reports: European Science Foundation, Strasbourg, France Science Policy Briefing 46: Medical Research Education in Europe European Oncology Nursing Society ‘Facilitation of Cancer Education and Training’ 2007 UK Quality Code for Higher Education: Advice and Guidance on Work-based Learning Selected Book / Chapters Books Austen, B and Westwood, OMR (1991) Protein Targeting & Secretion In Focus series, IRL Press, Oxford University Press. Westwood, OMR (1999) The Scientific Basis for Health Care Times Mirror Int. Publishers, London. Westwood, OMR & Hay FC (2001) Epitope Mapping: A Practical Approach, Oxford University Press, Oxford. Hay, FC. & Westwood, OMR. (2002) Practical Immunology (4th edition) Blackwell Science, Oxfor Westwood, OMR, Hay FC, Griffin A. (2013) ‘How to assess students and trainees in medicine and health” Wiley Blackwell, Oxford Eales-Reynolds, L-J; Westwood OMR (2018) ‘Teaching Excellence in Higher Education – Lessons from the TEF’ pub. KDP publishing Book chapters Westwood OMR (2011) A Medical Curriculum – Integration of basic and clinical sciences in Assessment and Training of Tomorrow’s Doctors 3rd International Forum of Medical Deans, Beijing (PMPH e-book) pp137-149 Leonardi-Bee, J. and Westwood OMR, (2014) “Systematic Reviews” in: An Introduction to Health Services Research ed. D-M Walker, pub. Sage Selected Papers Westwood, OMR, Leinster, S., Weinberg, JR (2008) A Health Care Curriculum for the 21st Century: Time for Flexibility? J. Royal Soc Med. Feb;101(2):59-62. Nelson PN, Westwood, OMR, Freimanis, Roden, D, Sissaoui, S, Rylance, P, Hay, FC. (2008) Epitope mapping of monoclonal rheumatoid factors reveals novel antigenic determinants on IgG1 Fc. Clinical Medicine: Arthritis and Musculoskeletal Disorders. 1:33-42. Green, A., Westwood, O., Smith, P., Peniston-Bird, F (2009) Provision of Continued Professional Development for Non-medical Prescribers within a South of England Strategic Health Authority – a report on a training needs analysis J. Nursing Management 17:603-614. Westwood O (2009) Physician Assistant role for the UK (letter). BMJ 339: b3938 Cushing, AM , Westwood, OMR (2010) Using peer feedback in a formative objective structured clinical examination. Medical Education 44(11):1144-5 Cushing, AM, Abbott, S., Lothian, D., Hall, A., Westwood, OMR (2011) Peer feedback in formative assessment as an aid to learning: What do we want? Feedback. When do we want it? Now! Medical Teacher 33(2):e105-12. Griffiths, CJ., Chung, C., Tzortziou-Brown, V., Westwood, O., Morrissey, D. (2012) Capturing the combined clinic: Evaluation of an Inter-Professional Multimedia Musculoskeletal Examination Teaching Resource. Rheumatology Westwood, OMR (2012) Musculoskeletal Examination: Education and Training for Current and Future Needs of Healthcare Provision. Rheumatology Cushing, AM, Ker J., Kinnersley, P, McKeown, P., Westwood OMR (2014) Patient safety and communication: a new assessment for doctors trained in countries where language differs from that of the host country – Results of a pilot using a domain-based assessment Pat. Ed Counsel 95: 332-339 Duffy, J., Chequer, S., Braddy, A., Mylan, S., Royuela, A., Zamora, J., Jacey Ip., Hayden, S., Showell, M, Kinnersley, P., Westwood, O, Khan, K., Cushing AM (2016). Educational effectiveness of gynecological teaching associates. A multi-centre randomized controlled trial. Br. J Obstet. Gynaecol 123(6):1005-10. Brown, V., Morrissey, D., Mohamend, N., Westwood, OMR, Underwood, M. (2016) Professional interventions for general practitioners on the management of musculoskeletal conditions. Cochrane Database Syst. Rev. 5:CD007495 Druce, M., Hickey, A., Warrens, A., Westwood, OM (2016) Medical students raising concerns J. Patient Safety Sep 16. (Epub ahead of print) Brown, V., Underwood, M., Westwood, OMR, Morrissey, D (2019). Improving GP management of musculoskeletal conditions: an interrupted time series study BMJ Open (BMJ Open. 2019 Feb 19;9(2):e024710. doi: 10.1136/bmjopen-2018-024710 Assessment and curriculum development 明星八卦: Physican Associate Programme PG Nursing Programmes External Examiner: MSc Genetics with Immunology, 明星八卦 1996-1999 External Examiner MSc Biomedical Sciences Kingston, 2002-2007 External Advisor: BSc Biomedical Sciences Surrey accreditation with Institute of Biomedical Sciences External Examiner MSc Advanced Practice (Physician Assistant) at Wolverhampton 2005-2009 External Advisor: degree revalidation in biomedical sciences division at Portsmouth 2006 External Examiner Medicine (final competence) Dundee 2009-2013 External Examiner Medicine Southampton 2009-2013 Critical Friend for curriculum design of the intercalated BSc Medical Education at Cardiff 2012 Critical Friend for multi-professional education at University of Southampton 2012 External Examiner Kings College London. 2013-current External Examiner Postgraduate awards in Medical Education, University of Birmingham, 2018-current Medical Assessment Advisor Membership Examinations of the Faculty of Sexual and Reproductive Healthcare, Royal College of Obstetrics and Gynaecology 2015-current

Dr Yanmeng Xu Dr Xu is a tribologist and has extensive knowledge in the subjects of Manufacturing Engineering, Engineering Materials, Mechanical Engineering and Product Design & Development. He is very experienced in the area of precision machining, failure analysis for the engineering products, and the area of materials application in support of the engineering products in the oil and gas field. His significant contributions in the research of materials and manufacturing have managed to attract funding from EPSRC and major industrial companies such as BP and Shell. He is also often approached by various companies to provide technical consultancy on materials properties and applications, product design, and failure analysis. Dr Xu has published 30 research and technical papers in the leading international journals. Brief biography Dr Xu obtained his PhD from the University of Southampton in 2004. After completing his PhD study, he worked as a postdoctoral research fellow for 5 years at University of Cambridge, Leeds University and 明星八卦. Before he joined 明星八卦 in July 2010, he worked as a Materials and Forensic Engineer at John Crane Ltd, at where he obtained extensive industrial experience. Dr Xu obtained his Master’s degree from Korea Advanced Institute of Science and Technology (KAIST) in 1998, and his Bachelor’s degree from Harbin University of Science and Technology in 1993, China. I am currently interested in the research area of printing materials and devices using the Inkjet Printing Technology. Specialities:Module Leader for Workshops with Materials, Lecturer in Materials and Manufacturing Systems, specialising in Engineering Materials, Mechanical Engineering, Manufacturing Engineering and Product Design & Development. Module leader for DM1602, Workshops with Materials Module teaching contributor for DM1309, Mechanics Supervision MSc, PhD research students and final year undergraduate students

Professor Keming Yu Keming Yu – Chair in Statistics Impact champion of REF – in UOA (Mathematical Sciences) Keming joined 明星八卦 in 2005. Before that he held posts at various institutions, including University of Plymouth, Lancaster University and the Open University. Keming got his first degree in Mathematics and MSc in Statistics from universities in China and got his PhD in Statistics from The Open University, Milton Keynes. Based on mathematical theory and data analysis methods, my research aims to explore statistical methods, models and optimal algorithms to deal with challenges in: New regression models and methods, including quantile regression, for Financial Econometrics and Business. Robust algorithms for Machine Learnign and Deep Learning. Statistical analysis and Machine learning for modelling loneliness and social isolation in Gerontology. New distributional/regression methods for the analysis of Wellbeing, health and biomedical scoences, such as obesity. Statistics/Machine learning methods for risk assessment in engineering, such as rail truck failure, cable fault, pipeline corrosion and wind turbine. Statistical theory, method, including Bayesian analysis, for the analysis of big data and small data. I teach Level 3 UG Statistics and MSc Statistics Courses. And I supervise final year UG student projects and MSc dissertation. MA3670: Statistics III. MA5632MA5673: Computer Intensive Statistical Methods. MA5629MA5676: Time Series Modelling.

Dr Steven Sam Dr Steven Sam (PhD, FHEA) is an academic and researcher, focusing on computing for social good, data ethics and responsible AI, ICTs in society and Human-Computer Interaction (HCI). He earned his PhD from the University of Queensland (Australia), receiving the UQ Outstanding Higher Degree by Research Theses Dean’s Award in 2016. As the founder and co-leader of Computer Science for Social Good, he has led an interdisciplinary team dedicated to addressing societal challenges through research, innovation, and capacity-building. His work centres on advancing social and context-aware technology that addresses real-world issues and enhances positive societal impact. Steven has collaborated with academic institutions, industry partners, development agencies, and government bodies on innovative research projects in healthcare, agriculture, food systems and education particularly in Africa. In addition to his academic role, Steven is an experienced consultant, guiding organisations in the ethical design and deployment of responsible AI and data-driven technologies. His expertise spans ethical assessments, risk mitigation, compliance and regulation, responsible design, policy development and stakeholder training. He combines theory, practical experience and human-centred approaches to help clients create AI and data strategies that drive innovation, respect public trust and protect individual rights, guiding organisations through the ethical challenges of new technologies. Steven’s research interests relate to the following: Computing for social good (including AI for social good) Sustainable HCI (SHCI) and HCI for Development (HCI4D) Digital divide and mobile and computer-based ICT4D Data-driven solutions to sustainable development goals Social implications of new and emerging technologies (e.g. mobiles, AI, social media, automation, etc.) on organisations, society and people. Ethics and governance of digital systems (in particular Responsible AI) Ethnography, user-centred and participatory design methodologies Module Leader Ethics and Governance of Digital Systems (CS5705) Supporting Taught Modules Human Computer Interaction (CS3009) ICTs in Society (CS2007) Usability Engineering (CS2003) Computer Science – Business Computing Final Year Project (CS3702 – CS3605) Work Placement (CS2555) Year 2 Group Project (CS2001) MSc Dissertation Supervision (CS5500) Crop Yield Production with Machine Learning: Leveraging Environmental and Economic Factors for Crop Yield Production Prediction - 2024 (Completed) Predictive Analysis of Club Progression in the Premier League - 2024 (Completed) E-commerce demand forecasting using machine learning methods - 2024 (Completed) Crop Recommendation with Machine Learning: Leveraging Environmental and Economic factors for Optimal Crop Selection -2023 (Completed) Using advanced machine learning models and explanation methods to predict and identify the greatest risk factors leading to Preterm Births - 2023 (Completed) Analyzing the Effectiveness of Natural Language Processing Techniques for Sentiment Analysis in Social Media Data-2023 (Completed) Designing Emotionally Engaging Gamification To Enhance User Satisfaction And Experience -2023 (Completed) Academic Failure Prevention: A 明星八卦 on Performance Prediction Models - 2023 (Completed) Analysis and Prediction of Road Accident Severity using Machine Learning - 2022 (Completed) Diagnosis of Facial Diseases using Deep learning Methods (Completed) - 2022 (Completed)

Dr Yang Yang Dr. Yang is a Lecturer in Chemical Engineering Department. She is currently leading the Digital Manufacturing Group, which aims to integrate the advanced computational technologies, such as big data, machine/deep learning, simulation and visualisation, to facilitate manufacturers achieve tangible improvements in key metrics. Her multidisciplinary research spans across diverse industrial sectors, addressing the challenges and driving the industry towards a new revolution. Dr. Yang has a multidisciplinary background. She obtained her BSc and MSc degree in Computer Science from Tianjin University, China and received her PhD sponsored by Overseas Research Scholarships (ORS) and Tetley & Lupton Scholarships (TLS) from University of Leeds. During her PhD, she successfully applied data mining and machine learning techniques to identify the optimal composition of nano-photocatalyst (TiO2). The decisional tool designed and developed by Dr. Yang, which combined process analytical technology (PAT), image analysis and machine learning techniques, was sponsored and adopted by GlaxoSmithKline Pharmaceuticals (GSK) for its nanoparticle product line. Due to her outstaning performance, Dr.Yang was awarded Chinese Government Award for Outstanding Self-financed Students Abroad in 2010. Prior to joining 明星八卦, Dr. Yang worked at Imperial College London and University College London as a postdoctoral researcher. During this period, Dr. Yang accumulated great knowledge and experience in biopharmaceutical manufacturing process and personalised medicine development. Collaborated with UCB and Eli Lily, the leaders of biopharmaceutical industries in UK, Dr. Yang established process models and ecnomic models of biomanufacturing process using discrete-event modelling and Monte Carlo simulation methods. A decision-support tool which combined the process models, ecnomic models and machine learning models for facility fit analysis had been greatly complimented by biopharmaceutical industry users. Supported by Pall Corporation, Merck and Medimmune, Dr. Yang’s research of digital twins for continuous biomanufacturing process awarded funding by Future targeted healthcare manufacturing hub at UCL. She is currently holding 明星八卦 Research Initiative & Enterprise Funding for digital twin system of hydrogen production. Multi-omics data analysis for personalised medicine development is another research intrest of Dr. Yang. She led a collaboration with Shanghai Pulmonary Hospital (China) to construct a decision-support tool with big data analysis for personalized diagnosis and treatment of lung cancer. She is currently collaborating with Life Science Department for cancer and drug dependency analysis. Digital manufacturing Digital twin system development for bioprocss and sustainable energy production AI in procss diagnosis and facility fit analysis Risk analysis and decision making support Real-time process mornitoring and control Personalised healthcare Multi-omics analysis AI in personalised/stratified medicine design and development Dr. Yang has extensive cross-disciplinary research interest in machine learning application within but not limited to sustainable energy, biomanufacturing and healthcare. CL3604 Big Data Analytics CL5654 Industrial Internet of Things & Cyber Security