Task committee chairs

Taskforce Chair:

Yi Lu Murphey

Department of Electrical and Computer Engineering, University of Michigan-Dearborn
4901 Evergreen Road, HPEC 2184, ECE, Dearborn, Michigan 48128, USA
Email: yilu@umich.edu
Personal Page: http://www-personal.engin.umd.umich.edu/~yilu/.

TF Chair's Short CV:   Yi Lu Murphey received a M.S. degree in computer science from Wayne State University, Detroit, Michigan, in 1983, and a PhD degree with a major in Computer Engineering and a minor in Control Engineering from the University of Michigan, Ann Arbor, Michigan, in 1989. Currently she is a professor and the Associate Dean for Graduate Education and Research at the College of Engineering and Computer Science at the University of Michigan-Dearborn. Her current research interests are in the areas of machine learning, text mining and intelligent systems with applications to intelligent vehicle and transportation systems. She is an editor for the Journal of Pattern Recognition and a fellow of IEEE. She can be reached at yilu@umich.edu.

Taskforce Co-Chair:

Robert Karlsen, PhD

Research Scientist, U.S. Army Tank Automotive Research, Development, and Engineering Center (TARDEC)
Email: robert.e.karlsen.civ@mail.mil

Dr. Karlsen's Short CV:   Dr. Karlsen received a B.S. in Physics from the University of Washington, Seattle, WA, in 1986 and a Ph.D. in Physics from the University of Arizona, Tucson, AZ, in 1993. He has worked at TARDEC since 1994, first in the Survivability Technology Area and currently in Ground Vehicle Robotics. He is presently the Research Lead in Robotics and manages projects in autonomy, vision-based navigation, incremental learning, and human robot interactions. His research interests include robotics, image processing, human vision modeling, and machine learning. He is a member of SPIE and IEEE. He is a conference chair for the Unmanned Systems Technology conference, part of the SPIE Defense, Security and Sensing symposium. He is a reviewer for IEEE IJCNN, ITS, IVS, SSCI and Trans. Neural Networks and Learning Systems.

Task Force Vice-Chair:

Dr. Mahmoud Abou-Nasr

Technical Expert, Neural Networks & Intelligent Systems, Research & Advanced Engineering
Ford Motor Company, USA
Email: mabounas@ford.com

Dr. Abou-Nasr's Short CV:   Dr. Abou-Nasr is a Senior Member of the IEEE and Vice Chair Technical Activities Computational Intelligence & Systems Man and Cybernetics SEM Chapter. He has received the B.Sc. degree in Electrical Engineering in 1977 from the University of Alexandria, Egypt, the M.S. and the Ph.D. degrees in 1984 and 1994 respectively from the University of Windsor, Ontario, Canada, both in Electrical Engineering. Currently he is a Technical Expert with Ford Motor Company, Research and Advanced Engineering, Modern Control Methods and Computational Intelligence Group, where he leads research & development of neural network and advanced computational intelligence techniques for automotive applications. His research interests are in the areas of neural networks, machine learning, pattern recognition, forecasting, data mining, optimization and control. He is an adjunct faculty member of the computer science department, Wayne State University, Detroit, Michigan and was an adjunct faculty member of the operations research department, University of Michigan Dearborn. Prior to joining Ford, he held electronics and software engineering positions with the aerospace and robotics industries in the areas of real-time control and embedded communications protocols. He is a guest editor of a special issue on "Real World Data Mining Applications," Annals of Information Systems, Springer and associate editor of the DMIN'09-DMIN'11 proceedings. He is a member of the program and technical committees of IJCNN, WCCI, ISVC and ECAI. He is also a reviewer for IJCNN, MSC, CDC, Neural Networks and IEEE Transactions on Neural Networks & Learning Systems. Dr. Abou-Nasr has organized and chaired special sessions in data mining and IJCNN conferences as well as international classification competitions in WCCI 2008 in Hong Kong and IJCNN2011 in San Jose CA.

Ishwar K Seth

Professor, School of Engineering and Computer Science, Oakland University
Rochester, MI 48098, USA
Email: isethi@oakland.edu

Dr. Sethi's Short CV:   Ishwar K. Sethi is currently a professor in the Department of Computer Science and Engineering at Oakland University in Rochester, Michigan, where he served as the chair of the department from 1999 to 2010. From 1982 to 1999, he was with the Department of Computer Science at Wayne State University, Detroit, Michigan. Before that, he was a faculty member at Indian Institute of Technology, Kharagpur, India, where he received his Ph.D. degree in 1978. His current research interests are in computer vision, data mining, machine learning and pattern classification, and multimedia information indexing and retrieval. He has graduated over 20 doctoral students and has authored or coauthored over 150 journal and conference articles. He has served on the editorial boards of several prominent journals including IEEE Trans. Pattern Analysis and Machine Intelligence, IEEE Multimedia, Pattern Recognition, and Machine Vision and Applications. He is currently a co-editor of “Modeling and Optimization in Science and Technologies (MOST) published by Springer. He was elected IEEE Fellow in 2001 for his contributions in artificial neural networks and statistical pattern recognition.