ESPRIT Leader, Research and Admin Team Profiles
Professor Yang
Guang-Zhong Yang - Professor Yang is the Chair of the Programme Executive Board of ESPRIT, the board responsible for the overall management of the ESPRIT project. Apart from monitoring and managing the academic qualities and research deliverables in the project, Professor Yang sets the research strategies and priorities, as well as developing strategies for knowledge transfer and dissemination activities. Guang-Zhong is the Director and co-founder of the Hamlyn Centre and Deputy Chairman of the Institute of Global Health Innovation (IGHI), Imperial College London. Professor Yang also holds a number of key academic positions at Imperial: Director and Founder of the Royal Society/Wolfson Medical Image Computing Laboratory; co-founder of the Wolfson Surgical Technology Laboratory; and Chairman of the Centre for Pervasive Sensing. He is a recipient of the Royal Society Wolfson Research Merit Award and the I.I. Rabi Award from the International Society for Magnetic Resonance in Medicine.  His main research interests are in medical imaging, sensing and robotics. He is internationally recognized for his innovations and clinical applications of MR imaging and flow quantification and pioneering effort in perceptual docking for robotic control and Body Sensor Network (BSN). 
Benny Lo � Dr Lo is currently working as a Hamlyn Fellow and leading the Pervasive Computing group in the Hamlyn Centre. He is the Manager of the ESPRIT programme and serves as a member of the management committee for the Centre for Pervasive Sensing.   Benny received his BASc in Electrical Engineering - Computer Engineering from the University of British Columbia in Canada, MSc with distinction in Electronic Engineering - Computer Vision from Kings College London and PhD in Computing from Imperial College London. 
Benny is involved in a number of projects that aim to address the general issues related to using wearable, implantable and vision sensors in pervasive healthcare, well-being and sports applications. His research interests include Body Sensor Networks, Wireless Sensor Network, Pervasive/Ubiquitous Computing, Feature Selection, Distributed Inferencing, Data Mining, Microelectronics, Surgical Skill Assessment, Probabilistic Reasoning, Bayesian Networks, Computer Vision, Temporal Tracking, Machine Learning, Image segmentation and Stochastic inferencing.

Professor Vadgama - Professor Vadgama is currently Director of the IRC in Biomedical Materials, Professor of Clinical Biochemistry, and Head of Service in the Department of Clinical Biochemistry, Barts and the Royal London NHS Trust. Prior to this he was Professor of Clinical Biochemistry, University of Manchester and Professor of Medical Biomaterials, Manchester Materials Science Centre. Having graduated from the University of Newcastle in Medicine, and somewhat unusually gone on to complete a Chemistry degree, Pankaj chose to specialise in Chemical Pathology. From there, his research interest moved into chemical devices used in the blood and body. When he moved to Queen Mary University to take up a more materials oriented position, he  joined the IOM3 where I was admitted as a fellow. In his current role as Director of the Interdisciplinary Research Centre in Biomedical Materials, he runs a research group on Biosensors � which monitor biochemicals in patient samples, such as glucose levels in diabetics � as well as working to develop a centre for research into materials for bone, tissue and dental replacement. The work bridges several disciplines, involving biomolecules, chemistry and metals. In addition, he manage a Clinical Biochemistry Department consisting of a large number of medical scientists, several of whom are themselves Chartered Scientists.

Blair Crewther - Dr Crewther is currently co-leading the ESPRIT L-theme (Learning, Data Modelling and Performance Optimisation), which involves the collection, interpretation and application of biomechanical, physiological, biochemistry and psychological data to improve athlete training and competition.  Blair gained a bachelor�s degree from Auckland University of Technology, completed a master�s degree in Health and Social Care with First Class Honors at the same university and obtained a PhD from Southern Cross University, Australia.  He is modelling the physical loads in elite team-sport and developing psychological strategies to modify athletes� hormone levels, stress responses and competition performance.  Blair�s research also examines the effects of caffeinated gum on cognitive and physical performance with and without sleep deprivation.  Another area of his research interest is stress loading and the impact on health that led him to get involved in several projects looking at genetic and social moderators of adult stress responses.  Blair�s long-term goal is to promote the physical and psychological health of at-risk populations using the tools and knowledge i have gained from elite sport. 
Delaram Jarchi - Dr Jarchi is currently working as a Research Associate in the Pervasive Computing Group, Hamlyn Centre. She received her BSc in Computer Engineering from Iran University of Science and Technology, Iran, in 2005, MSc in Artificial Intelligence from Shiraz University, Iran, in 2007, and the PhD degree from University of Surrey, UK, in 2011. She has been focusing on detailed gait analysis using wearable sensors and the corresponding applications for the ESPRIT projects. Her research interests include Bio-Signal Processing, Machine Learning and Adaptive Signal Processing. Within her work in ESPRIT�s G-theme (Generalised Body Sensor Networks), Delaram has been focusing on context aware on-node processing by conducting extensive amount of work in this area and looking into applying the techniques onto the ESPRIT applications.  
Ching - Mei Chen - Dr. Chen is a research associate in The Hamlyn Centre at Imperial College London. She received her Msc in Electronics Engineering in 2006 and subsequent PhD in 2009 from Oxford Brookes University. Her research interests are in the area of CMOS electronic circuit and system including transconductance amplifier design, low noise amplifier design for RF application and low power analogue front-end design for medical application. She also spent several years in industrial on developing wireless RF and Baseband circuits design and manufacturing in collaborations with Agere system, Infineon and Nordic semiconductor.
Charence Wong - Charence is currently a PhD student in the Pervasive Computing group in the Hamlyn Centre. He received his MEng in Computing from Imperial College London. His research focuses upon motion reconstruction for biomotion analysis using a sparse network of wearable sensors. Within his work in ESPRIT's G-theme (Generalised Body Sensor Networks), Charence has been working on sensor fusion for wearable and ambient sensors, and also developing a data repository for the L-theme (Learning, Data Modelling and Performance Optimisation) of the ESPRIT programme.
Zhiqiang Zhang - Dr. Zhang is Research Associate in the Department of Computing, Imperial College London. He received his B.E. degree in computer science and technology from School of Electrical Information and Engineering, Tianjian University, China, in 2005, and the Ph.D. degree from the Sensor Network and Application Research Center, Graduate University, Chinese Academy of Sciences, Beijing, China, in 2010. His research interests include Wearable Human Motion Estimation, Body Sensor Network, Signal processing, Data Fusion and Targets Tracking.   

Salzitsa Anastasova - Salzitsa received her BSc in Analytical Chemistry in 2002 and obtained her PhD in Inorganic and Analytical Chemistry in 2008 from University of Sofia, Bulgaria. Her PhD on Development of optical oxygen sensors for liquid and gas detection was in collaboration with ONVIDA GmbH, Germany. In 2008 she moved to Germany to work as a research scientist at University of Regensburg and later she moved to Ireland to become a postdoctoral researcher at Dublin City University where she developed solid-contact ion-selective working and reference electrodes. Later she was employed as a research scientist for Adidas Company, Ireland where she studied different polymer composition for successful use in wearable technology for bio-chemical analysis of body fluids during exercise. In 2010 Dr Anastasova joined a research group at Queen Mary University of London working on an EU Project. Her research interests involve studying and development of electrochemical and optical sensors for environmental and biomedical applications. She is currently working on �ESPRIT-omics: Pervasive Biological Profiling for Sports Monitoring� Project developing biosensors for continuous in vivo monitoring of oxygen, glucose and lactate. The goal is development of sensing system for the detection of analytes important for health and evaluates the effectiveness of established biomarkers across different compartments. She has over twenty peer-reviewed publications.

Andy West - Andy is a senior lecturer at Loughborough University. He was born in Leigh, Lancashire, attended Hindley and Abram Grammar School. B.Sc. and Ph.D. attained at University of Leeds. Research posts at Cambridge University and Loughborough University. Lecturer in Manufacturing Engineering in 1995.School Research Groups include Manufacturing Automation, Sports Technology and Interconnection Group.

Paul Conway - Paul has been educated at University of Ulster, Jordanstown and Loughborough University. Previously worked at Fisher Body Overseas Corporation, GMC. Joined Loughborough University in 1989 as a Research Associate, became a lecturer in 1990, subsequently Senior Lecturer in 1998, Reader in July 2000 and Professor in April 2005. His research groups are Manufacturing and Materials and Structures. His research interests include Joining and assembly processes in micro-scale systems Packaging of intelligent sensor and electronics data processing into new environments Materials processing for electronics and photonics intensive products Micro materials analysis and modelling Design for manufacture of electronics systems Healthcare production engineering