明星八卦

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

Professor Tadeusz Stolarski Academic Career 1970 - MSc, Technical University of Gdansk, Poland 1975 - PhD, Technical University of Gdansk, Poland 1979 - DIC, Imperial College of Science and Technology, London 1981 - DSc(Eng), Technical university of Cracow, Poland 1993 - Titular Professor, (Title conferred by the President of Poland) Industrial Career 1970 - 1971, Design Engineer for Deck Lifting Equipment, Gdansk Shipyard. Surface Mechanics and Tribology with particular emphasis on surface fatigue resulting from rolling contact of ceramics and polymers. High speed air bearings Boundary Lubrication - analytical models Dry Face Seals. Science University of Tokyo, Japan (High Speed Air Bearings) Ashikaga Institute of Technology, Japan (Surface Fatigue of Coatings) Chiba University, Japan (Laser Visualisation of Crack Propagation, Fretting) Technical University of Gdansk, Poland (Sliding bearings) Fracture Mechanics Flight Mechanics Design Principles Tribology

Dr Mayo Adetoro Mayo Adetoro is a Senior Lecturer in Computational Fluid and Solid Mechanics and he is the director of teaching and learning at the Department of Mechanical and Aerospace Engineering. Previously, he held the role of Course Director for the Aerospace Engineering MSc program. Before joining 明星八卦. Mayo was a Senior Lecturer at the University of the West of England. He was the Academic Director at the Airbus Academy for Fatigue and Damage Tolerance from 2010 to 2013, and from 2010 to 2013 he worked as an R&D Engineer in aircraft wing manufacturing at Airbus. With over 15 years of expertise, his research centres on the analytical and numerical modelling of fluid and solid continua; bridging theoretical foundations and practical applications. His primary research interest includes: Dynamic Similitude Scale-Resolved Turbulence Modelling Fluid-Structure Interaction and Aeroelasticity Dynamic Systems Available Doctoral Studentship: Future Aerospace Structures Ground Vibration Testing, an EPSRC funded Doctoral Landscape Award (DLA) and Airbus PhD studentship. Mayo's primary research interest includes: Dynamic Similitude Scale-Resolved Turbulence Modelling Fluid-Structure Interaction and Aeroelasticity Dynamic Systems Drag Reduction Numerical modelling of dynamic systems or manufacturing processes With over 15 years of expertise, Mayo's research centres on the analytical and numerical modelling of fluid and solid continua; bridging theoretical foundations and practical applications. He has made numerous impactful contributions to the aerospace industry, many of which have been published in leading international journals. His advancements include: Computational Modelling: Advancing the modelling of dynamical systems and manufacturing processes. Structural Damping: Developing innovative models for predicting and modelling structural damping. Analytical Methods: Developed a patented analytical method for manufacturing elongate aircraft wing stringers, enabling precision and efficiency from the first production—the "right-first-time" approach. Numerical Methods: Innovating techniques such as the finite block method, multiphase modelling, and scale-resolved turbulence modelling, with applications in aeroelasticity. More recently, Mayo developed the breakthrough Unified Dynamic Similitude Model, an approach that provides strictly accurate dynamic similitude for any given dynamic system. This model addresses the limitation of existing approaches, which is that they are problem-specific.

Dr Susan Grant Susan‘s research interests lie in the area of supply chain knowledge networks. She is currently involved in a number of collaborative projects with researchers across management and engineering disciplines in the area of global supply chain management, and has published widely in the area. Susan holds a PhD from Henley Management College and has been involved in the Lean Aerospace Initiative at Cranfield School of Management specialising in lean supply chain management within the domestic and international aerospace markets. Susan is a lecturer and Course director on the MSc Engineering Management within the School of Engineering and Design and a member of the Chartered Institute of Purchasing and Supply (CIPS). Lecturer and Course Director for the MSc in Engineering Management 明星八卦: School of Engineering and Design Global supply chain management and Logistics Manufacturing Strategy and Economics

Dr Qingping Yang Dr QingPing Yang is currently the Group Director for 明星八卦 Quality Engineering and Smart Technology (QUEST) Research Group and Robotics and Automation Research Group. Dr Yang joined the 明星八卦 Centre for Manufacturing Metrology (BCMM) in 1988 with a visiting scholarship awarded by the AVIC, after his graduation in Instrumentation and Measurement Technology from Chengdu Aeronautical Polytechnic in 1983 and subsequent 4 years’ research experiences at an Aircraft Structure Research Institute (AVIC, Xi’an) and admission to an MSc Programme in Robot Control and Intelligent Control at Northwestern Polytechnical University. In 1989, he was awarded an ORS Award and a PhD Studentship from British Technology Group to develop a patented smart 3D high precision probe system for CMMs, and he received his PhD degree in October 1992. Since then he has been working as a Research Fellow, Lecturer/Senior Lecturer/Reader (Associate Professor) at 明星八卦. He has actively participated in 18 (16 as Principal Investigator) research projects funded by the UK government, EU and industrial companies, with a total funding of about £2.7 million as Principal Investigator and £1.2 million as Co-Investigator. Through more than 30 years dedicated research, he has developed a unique and coherent research field broadly integrating three research areas of sensor/measurement systems, quality engineering and smart technologies (including AI and robotics) with rigorous theoretical foundation, addressing the core science and technology underpinning these areas. He has published more than 120 journal/conference papers, 5 book chapters and 3 patents (one patent successfully assigned for commercial exploitation in 2004) in these areas. He has supervised (as the 1st supervisor) 23 PhD and 4 MPhil students with successful completion as well as 11 visiting academic staff / PhD students, and he is currently supervising 6 PhD students. Dr Yang has received numerous prizes and awards for outstanding academic and work performance in the past (including three performance bonuses in 明星八卦 University). He has been a member of IEEE and IET. He was profiled in the 15th edition of Marquis Who’s Who in the World (1998) and the 5th edition of Marquis Who’s Who in Science and Engineering (2000). Dr Yang has been developing a unique and coherent research field broadly integrating the following three research areas for more than 30 years: Sensor / measurement systems: Advanced sensors and robot sensing (including tactile, force, optical proximity and stereo vision); 3D dimensional metrology (including CMMs, virtual CMMs, AFMs); 3D freeform surface measurement (including fringe projection); Intelligent instrumentation; Advanced data analytics; Measurement science. Quality engineering: Quality engineering (including robust design, TRIZ and intelligent process control); Lean six sigma; Condition monitoring and structural integrity; Safety and risk management; Environment monitoring. Uncertainty quantification; Integrated quality tools and information systems; Quality science. Smart technologies and applications: Robotics and autonomous systems (including Cognitive robots; Collaborative robots; Robots for measurements, inspection and maintenance; Medical robots; Mobile robots); Human-Robot Interaction; VR/AR/MR; IoT; Data science; Machine learning and artificial intelligence; Generalised information theory; Knowledge based systems; Ontology engineering; Semantic web; Cognition and neuroscience; Smart technology applications (e.g. Smart manufacturing; Smart buildings; Smart maintenance; Smart healthcare; Industry 4.0). Dr Yang has taught a number of subjects at both PG/UG levels and his teaching is closely related to his research: PG level (Level 7): Robotics and Manufacturing Automation; Manufacturing Measurement; Optical and Optoelectronic Engineering; Project Management; Computation for Information Processing and Computer-Aided Data Analysis. UG levels (Level 4-6): Computer Integrated Manufacturing (level 6); Quality Engineering and Metrology (level 6); Business for Engineers (level 6); Mechatronics (level 5); Microprocessors (level 5); Electrical Engineering Principles (level 5); Instruments and Applications (level 5); Measurement and Instrumentation (level 5); Introduction to Internet Computing (level 4); Internet Scripting and Computer Architecture (level 4); Project Management (levels 4-5). He is currently teaching: AI Applications in Engineering (Level 6) Quality Management and Reliability (Level 7) Advanced Measurement Systems and Data Analysis (Level 7)

Dr Yohan Noh He received his first B.Sc. degreefrom the Department of Mechanical Engineering, Seoul National University of Scienceand Technology, Korea (2002) and his second B.Sc. degree from the Department ofElectrical Engineering from Yonsei University, Korea (2004). He did his M.Sc. and Ph.D. atthe Department of Science and Engineering (robotics), Waseda University, Tokyo, Japan in2007 and 2011, respectively. After this, he worked as a research associate in Roboticswithin the Department of Biomedical Engineering and Informatics, King's College London.During his PhD and Postdoctoral studies in the UK and Japan, he studied and proposed agreat number of the robotic systems for use in medicine and healthcare in Japan, Korea,and the UK. His work has resulted in more than seventy peer-reviewed papers includingsixteen journal papers and more than seventy papers in top journals and conferences ofrobotics. He has eleven published patents so far.He has been fortunate to have the opportunity of involvement in commercialisationprocess of a number of joint projects between academia and industry. Being ambitious tolay out a research direction which considers commercialisation of the developed system inthe beginning of a project, led to successful commercialisation of the projects and therespective products are now being sold in international market.He has facilitated many collaborative activities between robotics groups in the UK, EU, andJapan through domestic and international joint projects (EU-project STIFF-FLOP, Grant No.287728), (Wellcome Trust IEH project iFIND, Grant No.102431), and (Robotics AdvancedMedical Cluster, Japan), and have been an active member of the robotics community (IEEERAS, EMBS, ASME, RSJ, JSCAS), and helped in the organisation of RSJ, ROMANSY, ICCAS,ROBIO, ICRA, and EMBC conferences since 2008. 1) Design and fabrication for STIFF-FLOP arm (soft manipulators) (Since 2013) and Multi-axial Force/Torque sensors, bending sensors, and palpation instrument (since May 2013) 2) Robot arms, master/slave system, and image compensation algorithm for ultrasound scanning (since June 2014) 3) Medical training robots for airway management and neurologic examination (Since 2006) 4) A new miniaturised Force/Torque and tactile sensing arrays based on optoelectronic technology for medical devices and haptic globes 5) development of a new flexible manipulator integrating contact force sensors and shape sensors for MIS (minimally invasive surgery) (since 2016) 6) Development of a non-contact device for detecting small animal breathing in dedicated whole-body imaging instruments based on fibre optic technology (since 2017) 7) Prototyping a low-cost robot-assisted ultrasound diagnostic robot system (since 2018) 8) Developing a low-cost tactile sensing array for soft prosthetic hands using the light intensity modulation sensing approach (since 2018) His research interests include development of force and tactile sensors, haptics, robot assisted ultrasound diagnostic system, medical training system, medical robots, robot platform software development.