Elena
Gaura is a Senior Lecturer with the School of Mathematical
and Information Sciences, Coventry University, specialising in
MEMS based intelligent sensors, computer hardware, Artificial
Intelligence and pervasive computing. She is the leader of the
Informatics, Media and Design (IMD) research group.
She is a member of the UK Engineering and Physical Sciences Research
Council College of Peer Reviewers and a member of the Program
Committee for Nano Science and Technology Institute’s NanoTechnology
Conference and Trade Show.
Presently, her research interests pursue the issues of MEMS sensor
systems design (to include microsensors-Artificial Intelligence
integration, sensor fault detection, self-diagnosis, microsensor
applications to safety critical and biomedical systems and sensor
networks. The work explores the new avenues brought about by MEMS
technology to enhance the functionality of micro measurement systems,
develop new techniques for integrating sensors, actuators and
control functions and ultimately aim at designing autonomous systems
which can sense, think and react to their working environment.
Much research effort is currently focused on theoretical and practical
design aspects for very large networks of autonomous MEMS based
sensors.
Dr. Gaura graduated with a MSc in Applied Electronics from Technical
University of Cluj, Romania, in 1991. Her research interests were
in the field of Artificial Neural Networks (ANNs), with a focus
on ANN VLSI implementations. She worked for Brunel University,
Uxbridge, UK and subsequently for Rutherford Appleton Laboratory.
In 1998 she was offered a HEFCE PhD grant at Coventry University.
She was awarded her Ph.D. at Coventry University, School of Engineering,
in April 2000, with a thesis entitled: ‘Neural Network Techniques
for the Control and Identification of Acceleration Sensors’.
She has been invited to Chair ANNs and Intelligent Control related
sections at various conferences and is a member of the Program
Committee of the International Conference on Artificial Neural
Networks and Genetic Algorithms (ICANNGA). She has received several
IEEE, Royal Society and Royal Academy of Engineering grants for
presenting her research work at various conferences and academic
institutions. She is the organiser of a Special Track on “Smart
MEMS and Sensor Systems” at the largest Nanotechnology American
Conference, Nanotech. She is a Journal reviewer for the Journal
of NeuroComputing (Elsevier Science), the Mechatronics Journal
(Pergamon Press, Oxford, U.K.) and IEEE Transactions on Control
Systems Technology.
Robert Newman is currently
Head of Computer Science at Coventry University. He has managed
and produced successful research proposals of a value greater
than £500 000 from the EPSRC and the European Union and
has included the support of a number of major industrial concerns.
He holds a BSc in Physics from Birmingham University and a PhD
in Computer Science, in the area of safety critical systems, from
Coventry University. He has produced 50 refereed publications
and has served on the programme committee of five major international
conferences and in 1991 was awarded a patent for the design of
an autonomous intelligent sensor, one of the earliest in this
field. The major theme of his research is pervasive computing,
particularly the system design of distributed intelligent systems,
and their application and the use of formal methods and systems
science in their design and specification. His research has involved
major collaborations with the European aerospace and automotive
industries over a period of ten years, and has included four major
projects, three funded by the European Union and one by the EPSRC,
with industrial collaborators including Ford, Rolls-Royce PLC,
Volkswagen, BMW, BAE Systems and EADS. He is also a member of
the UK Department of Trade and Industry Foresight Vehicle Steering
Committee for Design and Manufacturing Processes (DMAP).
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