CCI & ElderTech
Uncertainty Modelling in Technologies for the Elderly
Meet the Team
| Prof. Robert John | Dr. Simon Coupland | Prof. James Keller | Dr. Mihail Popescu |
Prof. Robert John
Prof. Robert John is Professor of Computer Science at De Montfort University and Director of the Centre for Computational
Intelligence. His major research interests are in the areas of type-2 fuzzy logic, uncertainty management and modelling
of human perceptions and reasoning. He has authored more than 80 papers in international journals, conferences and books. Recently
he was the principal investigator of an EPSRC project - EP/C542215/1 “Towards a Framework for Modelling Variation in
Automated Decision Support” and co-investigator of another EPSRC project GR/M58818/01 “IMI: Improving The Cost Model
Development Process (COSTMOD)”. He has also received funding from the EU, Royal Society, and has recently been awarded
a major DTI project. He is co-chair of the IEEE International Task Force on Extensions to Type-1 Fuzzy Sets and a member of
the IEEE Fuzzy Systems Technical Committee. He is a member of the EPSRC college. He has chaired many conferences and
is currently co-chair of the FUZZ-IEEE 2007 conference. He has an international reputation for his work on type-2 fuzzy logic
and, with Prof. Mendel, has developed many of the theoretical results that are in use today.
Dr. Simon Coupland
Dr. Simon Coupland is a research fellow at the Centre for Computational Intelligence at De Montfort University. His
major research interests are in the areas of type-2 fuzzy logic, robotics and uncertainty management with a strong track record in
the application of uncertainty models. He has authored a number of papers in international journals, book chapters, international
conference and magazine articles. He has recently been awarded a HIRS funded Innovation Fellowship grant “Hardware Implementation
of a Type-2 Fuzzy Logic System”. This project allowed him to lead the team that designed and built the first generalised type-2 fuzzy logic
microcontroller. His Ph.D. (completed in 2006) was funded via an EPSRC DTA and he has received
funding from the Royal Academy of Engineering. He has chaired a number of special sessions at national and international conference and is the general chair of UKCI 2008.
Prof. James Keller
Professor James Keller holds the University of Missouri Curators’ Professorship in the Electrical and Computer Engineering
and Computer Science Departments. He is also the R. L. Tatum Professor in the College of Engineering, University
of Missouri. His research interests centre on computational intelligence: fuzzy set theory and fuzzy logic, neural networks, and
evolutionary computation with a focus on problems in computer vision, pattern recognition, and information fusion including
bioinformatics, spatial reasoning in robotics, sensor and information analysis in technology for eldercare, and landmine detection.
He has been funded by several industrial and government institutions, including the Electronics and Space Corporation,
Union Electric, Geo-Centers, NSF, the Administration on Aging, NASA/JSC, the Air Force Office of Scientific Research and the
Army Night Vision and Electronic Sensors Directorate. He has co-authored over 250 technical publications. He is a Fellow of
the Institute of Electrical and Electronics Engineers (IEEE) for whom he has presented live and video tutorials on fuzzy logic
in computer vision, is a national lecturer for the Association for Computing Machinery (ACM), is an IEEE Computational Intelligence
Society Distinguished Lecturer, and is a past President of the North American Fuzzy Information Processing Society
(NAFIPS). He finished a full six year term as Editor-in-Chief of the IEEE Transactions on Fuzzy Systems, is an Associate Editor
of the International Journal of Approximate Reasoning, and is on the editorial board of Pattern Analysis and Applications, Fuzzy
Sets and Systems, International Journal of Fuzzy Systems, and the Journal of Intelligent and Fuzzy Systems. He is currently
the Vice President for Publications of the IEEE Computational Intelligence Society. He has chair several leading international
conference and was the general chair for the 2003 IEEE International Conference on Fuzzy Systems.
Dr. Mihail Popescu
Dr. Mihail Popescu is an Associate Professor in Health Management an Informatics at the School of Medicine, University of Missouri.
His research interests are in the areas of similarity measures and clustering algorithms for gene products, linguistic similarity between clusters of gene products and linguistic annotation of unknown gene products.
He completed his Ph.D. - New Sequence Detection Algorithms using Hidden Markov Models in 2003 at the University of Missouri.
| Prof. Robert John | Dr. Simon Coupland | Prof. James Keller | Dr. Mihail Popescu |
Prof. Robert John
Prof. Robert John is Professor of Computer Science at De Montfort University and Director of the Centre for Computational
Intelligence. His major research interests are in the areas of type-2 fuzzy logic, uncertainty management and modelling
of human perceptions and reasoning. He has authored more than 80 papers in international journals, conferences and books. Recently
he was the principal investigator of an EPSRC project - EP/C542215/1 “Towards a Framework for Modelling Variation in
Automated Decision Support” and co-investigator of another EPSRC project GR/M58818/01 “IMI: Improving The Cost Model
Development Process (COSTMOD)”. He has also received funding from the EU, Royal Society, and has recently been awarded
a major DTI project. He is co-chair of the IEEE International Task Force on Extensions to Type-1 Fuzzy Sets and a member of
the IEEE Fuzzy Systems Technical Committee. He is a member of the EPSRC college. He has chaired many conferences and
is currently co-chair of the FUZZ-IEEE 2007 conference. He has an international reputation for his work on type-2 fuzzy logic
and, with Prof. Mendel, has developed many of the theoretical results that are in use today.
Dr. Simon Coupland
Dr. Simon Coupland is a research fellow at the Centre for Computational Intelligence at De Montfort University. His
major research interests are in the areas of type-2 fuzzy logic, robotics and uncertainty management with a strong track record in
the application of uncertainty models. He has authored a number of papers in international journals, book chapters, international
conference and magazine articles. He has recently been awarded a HIRS funded Innovation Fellowship grant “Hardware Implementation
of a Type-2 Fuzzy Logic System”. This project allowed him to lead the team that designed and built the first generalised type-2 fuzzy logic
microcontroller. His Ph.D. (completed in 2006) was funded via an EPSRC DTA and he has received
funding from the Royal Academy of Engineering. He has chaired a number of special sessions at national and international conference and is the general chair of UKCI 2008.
Prof. James Keller
Professor James Keller holds the University of Missouri Curators’ Professorship in the Electrical and Computer Engineering
and Computer Science Departments. He is also the R. L. Tatum Professor in the College of Engineering, University
of Missouri. His research interests centre on computational intelligence: fuzzy set theory and fuzzy logic, neural networks, and
evolutionary computation with a focus on problems in computer vision, pattern recognition, and information fusion including
bioinformatics, spatial reasoning in robotics, sensor and information analysis in technology for eldercare, and landmine detection.
He has been funded by several industrial and government institutions, including the Electronics and Space Corporation,
Union Electric, Geo-Centers, NSF, the Administration on Aging, NASA/JSC, the Air Force Office of Scientific Research and the
Army Night Vision and Electronic Sensors Directorate. He has co-authored over 250 technical publications. He is a Fellow of
the Institute of Electrical and Electronics Engineers (IEEE) for whom he has presented live and video tutorials on fuzzy logic
in computer vision, is a national lecturer for the Association for Computing Machinery (ACM), is an IEEE Computational Intelligence
Society Distinguished Lecturer, and is a past President of the North American Fuzzy Information Processing Society
(NAFIPS). He finished a full six year term as Editor-in-Chief of the IEEE Transactions on Fuzzy Systems, is an Associate Editor
of the International Journal of Approximate Reasoning, and is on the editorial board of Pattern Analysis and Applications, Fuzzy
Sets and Systems, International Journal of Fuzzy Systems, and the Journal of Intelligent and Fuzzy Systems. He is currently
the Vice President for Publications of the IEEE Computational Intelligence Society. He has chair several leading international
conference and was the general chair for the 2003 IEEE International Conference on Fuzzy Systems.
Dr. Mihail Popescu
Dr. Mihail Popescu is an Associate Professor in Health Management an Informatics at the School of Medicine, University of Missouri.
His research interests are in the areas of similarity measures and clustering algorithms for gene products, linguistic similarity between clusters of gene products and linguistic annotation of unknown gene products.
He completed his Ph.D. - New Sequence Detection Algorithms using Hidden Markov Models in 2003 at the University of Missouri.