The
founding members of the consortium are:
Dr.
Stephen Hailes is Deputy Head of the Department of
Computer Science, UCL, and a leader of mobile systems research.
He has been PI or Co-I on a range of national and EC-funded projects,
and is currently technical manager and PI on the FP6 IP RUNES, examining
the creation of reconfigurable networked embedded systems; PI on
the BT/EPSRC MARS project, examining the use of AI-techniques in
producing robust pervasive systems; Co-I on FP6 IP SEINIT, addressing
the construction of secure IPv6-based pervasive systems; Co-I on
MRC CLEF-II (see Dipak Kalra); and Co-I on the EPSRC Divergent Grid
project, examining security and availability in grid systems.
Dr.
Simon Julier is a Senior Lecturer in the Department of
Computer Science, UCL. He received a D.Phil. from the Robotics Research
Group, Oxford where he studied the effect of process models on the
design of a navigation system for high-speed road vehicles. Dr.
Julier has worked for 8 years at the US Naval Research Laboratory.
He is currently the Associate Director of the 3D Mixed and Virtual
Environments Laboratory. He was PI on the Battlefield Augmented
Reality System, a research effort to develop man-wearable systems
for providing situation awareness information. He has worked extensively
in the field of robust, distributed and scalable data fusion and
his current research interests are to explore how user interfaces
can effectively display the result of a fusion process, and how
a fusion process can be controlled and refined through user interfaces.
Dr. Lawrence Cheng is a post-doc research fellow at UCL-CS. He joined the UCL-CS Network Research Group in Jan 2007. His research interests lie in the area of wireless ad-hoc networks, sensor networks, P2P networks, distributed systems, and more.
Vera Cady is a PhD student in the Computer Science, UCL. She is a member of the Networks Research Group and the Mobile Systems Interest Group in the department. Her primary research interests are in mobile computing and sensor technologies as applied to human locomotion. She is particularly interested in the following topics: wireless sensor based systems; wearable sensor networks; sensor system design for monitoring human activities and walking stability and wearable/wireless sensory feedback.
Dr.
Dipak Kalra is a clinical senior lecturer at CHIME (UCL)
and a former GP. He plays a leading international role in research
and development of EHR interoperability architectures and prototyping
and evaluation of new systems for health care records. His key research
activities include a wide range EU funded Framework Programme projects,
since 1991. He is leading both a European (CEN) standards Task Force
and an ISO Project Team to develop an electronic health record communications
(interoperability) standard. He is currently involved in an MRC
e-Science project, CLEF, which is developing a pseudonymised repository
of cancer records and a query workbench to support bio-informatics
research. He co-ordinates the development and deployment of an NHS-accredited
general practice computer system in north London. He was a GP Principal
for eight years in a deprived part of east London and led the Medical
Audit Advisory Group of that health authority for nine years. Dipak
is a Director of the openEHR Foundation and a member of its new
Architecture Review Board. He is also an active member of HL7.
Dr Tony
Austin. Originally a graduate of Computer Science with
an emphasis on artificial intelligence methods, Tony Austin's career
in Health Informatics began in decision support systems for the
diagnosis and management of asthma, and the therapeutic control
of anticoagulant drugs. More recently, he has designed and built
a server for electronic healthcare records which has provided implementation
experience for several standards tracks in the field, including
CEN and ISO. Practical deployments of the server include the Department
of Cardiovascular Medicine in a large London teaching hospital which
has enabled him to continue his work in anticoagulant therapy. The
server delivers real clinical benefits to thousands of Warfarin
patients in this setting.
Prof.
Andy Hopper, FREng is Professor of Computer Technology
and Head of the University of Cambridge Computer Laboratory. As
the founding director of Olivetti Research and AT&T Laboratories
Cambridge, he and his colleagues pioneered location-aware and sentient
computing technologies through the 1990s. He has been a founding
director of eleven high-tech companies including Acorn Computer,
Virata (DSL semiconductor) and Cambridge Broadband.
Prof.
George Coulouris is a Senior Visiting Fellow in the Computer
Laboratory. At Cambridge he led the EPSRC-funded QoSDREAM project
(GR/M25872/01 and GR/M76195/01) to develop a software framework
for handling location information derived from a variety of location-sensing
technologies and systems with reference to a simple world model.
While Professor of Computer Systems at Queen Mary, London, he led
many projects in distributed systems and related fields; he is co-author
of a major textbook on distributed systems.
Dr.
Marcelo Pias has been a Research Associate in the Computer
Laboratory since Sept. 2004. In his prior post doctoral position
at Intel Research Laboratories Cambridge, he worked on decentralised
P2P systems and wireless sensor networks. He obtained a BEng in
Computer Engineering from FURG (Brazil) in 1999 and a PhD degree
in Computer Science from UCL in February 2004. He is involved in
two wireless sensor projects: Sentient Sports aims at tracking the
performance of athletes in sports events, and the EU funded Embedded
WiSeNts project is preparing a research roadmap in the area of wireless
sensor systems for the EC.
Dr.
Robert Harle completed a degree in Physics and a Ph.D.
in Engineering at Cambridge University, before continuing as a Research
Associate in the Computer Lab. His research interests span location
systems, ubiquitous computing, wireless networks, vehicular communications,
and sensor systems. He is a named researcher on the EPSRC funded
TIME EACM project. His particular interest in SESAME stems from
10 years of training as a sprinter and his work as a qualified coach
in the field.
Simon Fothergill has been a Ph.D. student at the University of Cambridge Computer Lab since October 2005. He is a member of the Sentient Computing project in the Digital Technology Group and is researching into machine interpretation of human motion data, for analysing the performance of sprinters. He obtained an MEng in Computing from Imperial College, London in 2005, where he completed a project on musical analysis and recognition.
Oliver Woodman is a Ph.D. student at the University of Cambridge Computer Laboratory. He is a member of the Digital Technology Group and will be researching sentient computing. Before starting his Ph.D. Oliver was an undergraduate at Cambridge University. He obtained a BA in Computer Science, graduating in 2006.
At
CUED:
Dr.
Joan Lasenby is a lecturer in the Signal Processing Group
of the Cambridge University Engineering Department. Her main research
areas are in the fields of computer graphics and computer vision,
specifically motion capture and she has edited a number of compiled
volumes on these topics. JL is a founding director of a new (2005)
graphics/modelling company which grew out of a PPARC enterprise
fellowship. She is still actively involved in athletics via competing
(holding a number of UK Masters titles from 1995 to 2005), coaching
and administration, with many contacts in the athletics coaching
world and UK Athletics.
Jonathan Cameron is in the process of completing a Ph.D. on the Applications of Geometric Algebra to Computer Vision and Computer Graphics, within the Signal Processing and Communications Laboratory of the Department of Engineering, University of Cambridge.
He obtained an MEng. in Electrical and Information Sciences from the University of Cambridge in 2003. His research interests include visual feedback and computer vision, particularly in relation to real-time feedback from Motion Capture systems as well as calibration algorithms for esoteric camera types.
Prof.
David Kerwin is Professor of Biomechanics in the School
of Sport at the University of Wales Institute, Cardiff (UWIC). After
17 years at Loughborough University as head of biomechanics and
head of sports science, he moved to the University of Bath in October
1999 to establish a new Department of Sport and Exercise Science
in the Faculty of Science. In Sept. 2005 he moved to Cardiff to
head a research unit in biomechanics based in the Welsh National
Indoor Athletics Centre on the UWIC campus. David has been part
of the International Olympic Committee's Medical Commission research
projects at four Summer Olympic Games and is a member of the International
Gymnastics Federation Science Commission. His research focuses on
developing and applying measurement techniques in sport and exercise,
including analyses of performances in competitive environments.
He also develops inverse and forward dynamics models of human movement
including landing, jumping and running in athletics and swinging
and balancing in gymnastics. He is currently supervising athletic
based PhD studies in maximal speed sprinting and triple jumping.
Dr.
Gareth Irwin is
a Senior lecturer in Biomechanics. He is an Accredited Biomechanist
(British Association Sport and Exercise Sciences, 2004) and a High
Performance Coach in men’s gymnastics (British Gymnastics
Association, 1998). His research addresses theoretical issues associated
with the development of skill, combining biomechanics, coaching
science and the principles of training in a multiple paradigm approach.
His applied research is facilitated by his background in international
level sport, firstly representing Wales at European, World and Commonwealth
Level and secondly as an international level coach, as Welsh Men’s
Coach at the last Commonwealth Games and currently as Great Britain
Team Manager and Coach for the World University Games. This background
enables him to translate key aspects of biomechanics of human performance
into a medium that coaches and performers understand. He currently
provides biomechanics support to Welsh and English Rugby, British
Gymnastics, Welsh and UK Athletics including for performers at the
last two Olympic Games and currently for athletes preparing for
the 2006 Commonwealth Games.
Dr Cassie
Wilson is
a Lecturer in Sports Biomechanics. Cassie’s research focuses
on optimisation of performance in running jumps with her interests
including computer simulation modelling, dynamic jumping and muscle
mechanics. In 2003 she won the British Association of Sport and
Exercise Sciences Student Award and followed this in 2004 with the
New Investigator Award at the XXIInd International Symposium on
Biomechanics in Sports. During the past two years she has provided
sport science support for Welsh Athletics and Gloucester Rugby Club
and is currently supervising a PhD student working on optimising
triple jump performance.
Dr Marianne Gittoes is a Lecturer in Sports Biomechanics. Marianne’s
research focuses on impact loading in females during drop landings.
Her current research is enhancing her simulation modelling skills
to include the use of computer component inertia modelling of soft
and rigid human body tissues and simulating wobbling mass models
of human impact landings. In 2004 she won the British Association
of Sport and Exercise Sciences Biomechanics Award at the National
Conference in Liverpool. Prior to joining the fulltime staff at
UWIC, she was employed as a PDRA on an EPSRC Equal project specialising
in developing CODA™ protocols for the 3D tracking of post
stroke recovery patients. Marianne has also contributed to two sports
science projects: (i) on the kinematics of line-out throwing, and
(ii) on the mechanics of the golf swing in post-operative knee replacement
older adults.
Dr Robyn
Jones Formerly of the University of Otago (New Zealand)
and the University of Bath, Robyn Jones is a Reader in Sports Coaching.
His research interest comprises a critical sociology of coaching,
and, in particular, how issues related to power and interaction
impact on the coach-athlete relationship. He has published widely
on the issues of coaching and coach education (6 books to date),
is a guest reviewer on numerous sport-related journals, whilst also
being a consultant for several sport/education related national
policy projects (e.g. the lottery-funded New Opportunities for Physical
Education and Sport [NOPES] initiative). Dr. Jones is also a member
of the UKCC Coaching Research Group, a founder member of the Coaching
Special Interest Group within the Association for the Advancement
of Applied Sport Psychology, and a member of the Physical Education
and Sport Pedagogy research group within the British Education Research
Association. He is also a former professional coach at Queens Park
Rangers Football Club and a Director of Football for Soccer New
Zealand (Southern Federation).
Dr Ian Bezodis is a Research Officer in biomechanics. He recently completed his Ph.D. on Biomechanical Performance Variation in Maximum Velocity Sprinting at the University of Bath. His research interests focus on investigating the step length-step frequency relationship in elite sprinting and understanding critical performance factors through the use of inverse dynamic models of sprint technique. For the four years prior to joining the SESAME project, he provided scientific support to the UK Athletics elite sprints, hurdles and relays squads at both senior and junior levels.
Andy Thomson is a PhD. student in sports biomechanics at UWIC. Andy was an undergraduate at UWIC. He obtained a BSc in Sport and Physical Education, graduating in 2006. His primary research interest is the biomechanics coaching interface and its influence on technique development in sprint running.
Dr.
Alan Wilson is Reader in Locomotor Biomechanics at The
Royal Veterinary College and University College London; he holds
a Royal Society Research Merit Award and a BBSRC Research Development
Fellowship. He holds first degrees in veterinary science and BSc
physiology/sports science. His research interests include the design
of animals (including humans) for high speed locomotion and factors
limiting athletic performance, innovative measurement techniques
for studying animals during field locomotion, muscle-tendon interaction
in locomotion, and the diagnosis, assessment and treatment of locomotor
dysfunction. He contributes to clinical gait analysis at the Royal
National Orthopaedic Hospital, holds BBSRC funding to study factors
limiting athletic performance in a range of species and is funded
by the UK Horse Racing Industry to study the effect of racing surfaces
on performance and injury. These projects all depend on a range
of innovative technologies to analyse field locomotion including
GPS, inertial sensors and advanced signal processing techniques.
He has published papers demonstrating and validating innovative
techniques for measurement of function during high speed locomotion
and papers using these techniques to demonstrate basic biological
mechanisms (including three in Nature). His work increasingly uses
mathematical models to understand biological systems and mechanisms
and he is in the final stages of a mathematics degree. He is a former
Scottish international athlete at middle, long-distance and cross
country running and has represented the UK at Marathon.
Dr Thilo
Pfau has a background in pattern recognition and signal
processing. During his time at Munich University of Technology (PhD)
he worked on statistical pattern recognition (Hidden Markov Models
(HMM), Artificial Neural Networks (ANN)) in the framework of a large
scale speech to speech translation project (the German Verbmobil
project, a government and industry funded project). His area of
research was the adaptation of speech recognisers to varying speaking
rates beyond the scope of standard HMMs. As a postdoctoral researcher
at the International Computer Science Institute (University of California,
Berkeley) he contributed his signal processing expertise to the
ICSI meeting project as well as to the German SmartKom project.
At the RVC he has worked on a BBSRC funded project on mechanics
of animal locomotion, adding pattern recognition and signal processing
techniques to the standard repertoire of the lab’s biomechanics
expertise. He has developed a mobile data acquisition system for
simultaneous recording of foot mounted accelerometers and trunk
mounted inertial sensors, which has been extensively used to collect
data from animals in field experiments. Currently he is working
on an HBLB funded project about horse-surface interactions, which
is heavily based on mobile data acquisition.
Dr Andrew Spence is a Research Associate in biomechanics and microinstrumentation. Prior to coming the RVC, he was a postdoctorate fellow at the University of California at Berkeley, studying the neuromechanics of locomotion. These studies included control of locomotion on compliant substrates, recovery of neuromechanical systems from inertial and physiological perturbation, and the dependence of muscle function on behavioral context. Crucial to this work was the utilization of MEMs inertial sensors and the development of custom microfabricated devices.
These were used to study behaving insects in the laboratory and gliding mammals in the wild. Dr. Spence’s thesis work was in Applied and Engineering Physics at Cornell University, where he developed microfabricated devices for biomedical engineering and neurobiology.Currently he is working on an HBLB funded project that will quantify the effect of surface on equine locomotor biomechanics; examining changes in the cost of locomotion, susceptibility to injury, individual performance, and the impact of substrate inclination.
Dr Huiling Tan graduated with a BSc (Hons) from Beijing University of Aeronautics and Astronautics, China, in the field of Control Engineering. She started a project for her PhD in the University of Oxford in January 2003, conducting research on measurement uncertainties, data processing and data fusion using fuzzy logic. Huiling joined the structure and motion lab in RVC in August 2006. Her area of interest is wireless sensor systems and different methods to combine data from different kinds of sensors to reduce the uncertainties of the measurements.
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