Monday, November 5, 9:00 - 10:00 a.m.

Toward an Enlargement of the Role of Natural Languages in Information Processing, Decision and Control (Pavilion Salon A-B)

Lofti Zadeh, University of California at Berkeley, Berkeley, CA, USA

LOTFI A. ZADEH is a Professor in the Graduate School, Computer Science Division, Department of EECS, University of California, Berkeley. In addition, he is serving as the Director of BISC (Berkeley Initiative in Soft Computing).

Lotfi Zadeh is an alumnus of the University of Teheran, MIT and Columbia University. He held visiting appointments at the Institute for Advanced Study, Princeton, NJ; MIT; IBM Research Laboratory, San Jose, CA; SRI International, Menlo Park, CA; and the Center for the Study of Language and Information, Stanford University. His earlier work was concerned in the main with systems analysis, decision analysis and information systems. His current research is focused on fuzzy logic, computing with words and soft computing, which is a coalition of fuzzy logic, neurocomputing, evolutionary computing, probabilistic computing and parts of machine learning. The guiding principle of soft computing is that, in general, better solutions can be obtained by employing the constituent methodologies of soft computing in combination rather than in stand-alone mode.

Lotfi Zadeh is a Fellow of the IEEE, AAAS, ACM, AAAI, and IFSA. He is a member of the National Academy of Engineering and a Foreign Member of the Russian Academy of Natural Sciences. He is a recipient of the IEEE Education Medal, the IEEE Richard W. Hamming Medal, the IEEE Medal of Honor, the ASME Rufus Oldenburger Medal, the B. Bolzano Medal of the Czech Academy of Sciences, the Kampe de Feriet Medal, the AACC Richard E. Bellman Central Heritage Award, the Grigore Moisil Prize, the Honda Prize, the Okawa Prize, the AIM Information Science Award, the IEEE-SMC J. P. Wohl Career Acheivement Award, the SOFT Scietific Contribution Memorial Award of the Japan Society for Fuzzy Theory, the IEEE Millennium Medal, the ACM 2000 Allen Newell Award, other awards and fourteen honorary doctorates. He has published extensively on a wide variety of subjects relating to the conception, design and analysis of information/intelligent systems, and is serving on the editorial boards of over fifty journals.

  Monday, November 5, Noon - 1:30 p.m.   
Respiratory Related Evoked Responses in Obstructive Sleep Apnea Syndrome (OSAS) Subjects  (Pavilion Salon C)
Metin Akay, Thayer School of Engineering, Dartmouth College, Hanover, NH, USA    

Metin Akay, Associate Professor of Engineering, received his B.S. and M.S. in Electrical Engineering from the Bogazici University, Istanbul,Turkey in 1981 and 1984, respectively and a Ph.D. degree from Rutgers University in 1990.

He is author/coauthor of the 12 books including "Theory and Design of Biomedical Instruments (Academic Press, 1991)", "Biomedical Signal Processing (Academic Press, 1994)", "Detection Estimation of Biomedical Signals(Academic Press, 1996)", "Time-Freq and Wavelets in BME (Wiley and IEEE Press, 1997)" Nonlinear Biomedical Signal Processing (Wiley and IEEE Press, 2000), Information Tech in Medicine (Wiley and Sons, 2000).  He is the founding editor on Book Series in Biomedical Engineering published by the Wiley and IEEE Press, sponsored by the IEEE Engineering in Medicine and Biology Society.

Dr. Akay served as the invited guest editor for 12 special issues of the IEEE EMB Mag, Annals of BME, Journal of BME in the areas of cardiovascular engineering, Virtual Reality in Medicine, Advances in Biomedical Signal Processing, Fuzzy Logic in Medicine. He is also the invited guest editor for the Proc of IEEE on Neural Engineering.  

He was the chair of the IEEE EMBS Summer School 1997, 2001.  All these activities are supported by the NSF and largely attended by the women and minorities. He is also the program chair of the Annual IEEE EMBS Conference 2001

He gave 25 keynote and plenary talks and several invited talks at the international meetings including the ICAP'94, IFSA'95, the DSP applications and Exhibition Conference'96, the Satellite Symposium of the IEEE EMBS'98, the 12th Annual Conference of Japanese Society of Medical Electronics and Biomedical Engineering,  the first and second Latin-American Conference on Biomedical Engineering'98 and 01.

He received a IEEE Third Millenium Medal for his contributions to biomedical engineering research and education and the IEEE Engineering in Medicine and Biology Society Early Career Achievement Award 1997 "for outstanding contributions in the detection of coronary artery disease, in  understanding of early human development, and leadership and contributions in biomedical engineering education".   He also received the 1998 and 2000 Young Investigator Award of the Sigma Xi Society, Northeast Region for his outstanding research activity and the ability to communicate the importance of his research to the general public. He is also the IEEE Distinguished lecturer in Bioengineering.

Dr. Akay is a senior member of IEEE, a member of Eta Kappa, Sigma Xi, Tau Beta Pi, The American Heart Association, and The New York Academy of Science. He also serves on the advisory board of several international journals and organizations and NIH study session and several NSF review panels.

He has been very active in the biomedical engineering community and serve at the NIH study session and several interdisciplinary NSF panels since1990. He has played a major role in introducing the emerging technologies to the biomedical engineering community and in promoting the world enhancement of biomedical informatics and bioengineering opportunities for women and minorities.

Dr. Akay's Neural Engineering and Informatics Lab is interested in investigating the respiratory somatosensory (RSS) responses of patients with obstructive sleep apnea syndrome (OSAS) and the effect of developmental abnormalities and maturation on the dynamics of respiration.

 Monday, November 5, 3:30 -  4:30 p.m.
Connectionism: What’s Wrong with it and how do we get out of the mess? (Pavilion Salons A-B)
Asim Roy, Arizona State University, Tempe, AZ, USA  

Asim Roy is a Professor of Computer Information Systems at Arizona State University. He received his B.E. in Mechanical Engineering from Calcutta University, India, M.S. in Operations Research from Case Western Reserve University, Cleveland, Ohio, and Ph.D. in Operations Research from University of Texas at Austin. He has been a Visiting Scholar at Stanford University (David Rumelhart’s group) and a Visiting Scientist at the Robotics and Intelligent Systems Group at Oak Ridge National Laboratory, Oak Ridge, Tennessee. He is the Letters Editor of IEEE Transactions on Neural Networks and has served on organizing committees of many scientific conferences. His research interests include neural networks, machine learning, data mining, pattern recognition, computational learning theory and nonlinear multiple objective optimization. He has developed several new methods for supervised (pattern classification, function approximation) learning that can generate (that is, both design and train) neural networks in polynomial time complexity. He has also questioned many of the classical connectionist learning ideas and has proposed a more stringent and robust brain-like learning theory. He has been invited to do tutorials, workshops and short courses on his new learning theory and methods at many national and international conferences in the last few years.

Tuesday, November 6, 9:00 - 10:00 a.m. 

Interactive Evolutionary Computation – Addressing Poor-definition and Uncertainty through Optimal Information-gathering and Problem Re-formulation  (Pavilion Salons A-B)

Ian Parmee, University of West England, Bristol, United Kingdom

Professor Ian Parmee has several years experience in both the Contracting and Consultancy sectors of the engineering industry. He returned to an academic career in 1991 and played a major role in the establishment and subsequent development of the Plymouth EPSRC Engineering Design Centre at the University of Plymouth investigating the integration of Evolutionary Computing technologies with Engineering Design. Ian Parmee was Director of the Centre from 1996 but has recently taken up a Professorship at the University of the West of England, Bristol where he is currently establishing an evolutionary design and decision-making research group.  He is also Director of Advanced Computational Technologies (www.ad-comtech.co.uk) a consultancy which specialises in the integration of a range of evolutionary and adaptive computing strategies to provide search, exploration and optimisation capabilities across complex industrial and commercial domains.  These areas of activity are underpinned by fourteen years experience of the application of these technologies much in close collaboration with major industrial organisations.  Related research has resulted in over one hundred publications in journals, conference proceedings and books. His recent book ‘Evolutionary and Adaptive Computing in Engineering Design (Springer Verlag, 2001) describes much of his previous work.  In addition, Ian Parmee chairs the EPSRC Engineering Network in Adaptive Computing in Design and Manufacture and also chairs the biennial International Conference of the same name which next takes place in April, 2002 (www.ad-comtech.co.uk/ACDM2002).




Tuesday, November 6, Noon – 1:30 p.m

Computational Intelligence -Fulfilling Visions for Automation and Control (Pavilion Salon C)

Tariq Samad, Honeywell Laboratories, Minneapolis, MN, USA

Tariq Samad is a Corporate Fellow at Honeywell Laboratories, the central R&D organization for the corporation.  His research has focused on intelligent systems and control technologies and he has led projects investigating applications of these technologies in various businesses related to automation and control.  These projects have included externally funded program with government and private customers, commercialization projects conducted jointly with business units, and internal research initiatives. He has also been instrumental in initiating several university/industry collaborations, both within the U.S. and internationally, and he is currently an adjunct professor of electrical engineering at the Georgia Institute of Technology. He is a Honeywell Star Inventor with eleven patents.  His recent publications include two edited volumes, "Automation, Control, and Complexity: An Integrated View" (co-edited with John Weyrauch; John Wiley & Sons) and "Perspectives in Control Engineering: Technologies, Applications, and New Directions" (IEEE Press).  He is the editor-in-chief of IEEE Control Systems Magazine.  Dr. Samad received his B.S. in Engineering and Applied Science from Yale University and his M.S. and Ph.D. in Electrical and Computer Engineering from Carnegie Mellon University.

   

Tuesday, November 6, 3:30 p.m. - 4:30 p.m.

Language Learning for Machine Translation – A Study in MT Evaluation and Vocabulary Acquisition (Pavilion Salons A-B)

Florence Reeder, The MITRE Corporation, McLean, VA, USA

Ms. Reeder is pursuing research in the intersection of language learning, computer-assisted language testing and machine translation evaluation at George Mason University.  At the MITRE Corporation, she is the project lead on a lexicon development research project and has led the CyberTrans and Quick-MT Machine Translation projects.  As CyberTrans project lead she directed the transition of the CyberTrans system to a production system and initiated efforts for developing enabling technologies for automated language processing.  For the Quick-MT project she worked on the development of a tool set designed to rapidly build MT capability for Thai and other less commonly taught languages.  Previously she worked in signal processing for E-Systems/Raytheon Corporation developing a system for mobile cellular communications exploitation. 

Wednesday, November 7, 9:00 - 10:00 a.m.

Neural Networks in Econometrics:  Principles, Applications (Pavilion Salons A-B)
Hans Zimmerman, Siemens AG, Corporate Technology Dpt., Muenchen, Germany

 

Study of mathematics, computer science and operations research in Bonn, diploma 1982 in mathematics.  Research in applications of control theory in economics at the University of Bonn until 1987, Ph.D. 1987 in economics. Since 1987 at the department for Corporate Technology, Siemens AG.  Research in circuit simulation, since 1988 in neural networks. Current research interests:  Optimization, time series analysis and economic applications of neural networks. Since 1990 leader of the project group 'Neural Networks in Forecasting and Diagnosis'.  Head of the SENN development (Simulation Environment for Neural Networks).  Work in the development of feedforward, recurrent and neurofuzzy network architectures and algorithms for the modeling of economical dynamical systems.

Wednesday, November 8, Noon – 1:30 p.m.
Identification and Forecasting Of Dynamical Systems by Recurrent Neural Networks (Pavilion Salon C)
Hans Zimmerman, Siemens AG, Corporate Technology Dpt., Muenchen, Germany

Study of mathematics, computer science and operations research in Bonn, diploma 1982 in mathematics.  Research in applications of control theory in economics at the University of Bonn until 1987, Ph.D. 1987 in economics. Since 1987 at the department for Corporate Technology, Siemens AG.  Research in circuit simulation, since 1988 in neural networks. Current research interests:  Optimization, time series analysis and economic applications of neural networks. Since 1990 leader of the project group 'Neural Networks in Forecasting and Diagnosis'.  Head of the SENN development (Simulation Environment for Neural Networks).  Work in the development of feedforward, recurrent and neurofuzzy network architectures and algorithms for the modeling of economical dynamical systems.

   
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