Vendor Workshops
Artificial Intelligence & Data Mining
O.R. in Biology and Medicine (sponsored by NSF)

Organized by: INFORMS College on Artificial Intelligence, INFORMS Section on Data Mining

Saturday, November 4, 8:00am-5:00pm
Registration: $50 (includes breakfast, lunch, CD of workshop proceedings)
You must register for the Annual Meeting in order to register for this workshop.

Both the College on Artificial Intelligence and the Section on Data Mining are interdisciplinary INFORMS subdivisions that bring together researchers and practitioners in engineering and business who are interested in the theory, application and methodologies of AI, DM and knowledge discovery.

The workshop will highlight the frontiers of new knowledge and applications of AI and DM in operations research, including presentations in the following topic areas:

• Advances in supervised and unsupervised learning
• Bioinformatics and imaging
• Business and finance management
• Classification and pattern detection
• Decision-making and optimization
• Intelligent systems
• Manufacturing systems
• Support vector machines

Two special sessions are planned:

• A tutorial on AI and DM methods for practitioners
• A Funding Panel with representation from the National Science Foundation, the National Institutes of Health, and the Office of Naval Research.

Workshop Organizing Committee

Program Chairs: Victoria Chen and Andrew Kusiak
Publicity/Facilities Chairs: Haldun Aytug and Janet Twomey
Proceedings Chair: Sigurdur Olafsson
Review Committee Chairs: George Runger and Riyaz Sikora
Program Co-chair Victoria (Tory) Chen, Ph.D. is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Texas at Arlington.  She received her Bachelors degree in Mathematical Sciences from the Johns Hopkins University, and she received her Masters and Doctoral degrees from the School of Operations Research and Industrial Engineering at Cornell University.  She has been an active member of INFORMS (formerly ORSA) since 1987, serving terms as President of the student sections at both her undergraduate and graduate institutions, and co-founding the Informs DM Section in 2003.  She served as DM Secretary-Treasurer in its founding year, DM Vice-Chair in 2004-05, and she is currently DM Chair.  Her research is a cross-disciplinary mix of statistics, optimization, logistics, engineering, and sustainability, and has been funded by the U.S. Environmental Protection Agency, the National Science Foundation, and several companies.
Website: http://ie.uta.edu/index.cfm?fuseaction=professordescription&userid=1945

Program Co-chair Andrew Kusiak, Ph.D. is a Professor in the Department of Mechanical & Industrial Engineering at the University of Iowa.  He holds a Bachelors degree in Precision Engineering a Masters degree in Mechanical Engineering, and a Doctoral degree in Operations Research.  He is a member of both the AI and DM subdivisions, and he was one of the petitioners for founding the DM Section.  He served as DM Council Member is 2004-05 and is currently serving as DM Vice-Chair.  His areas of research include knowledge discovery, computational intelligence, medical informatics and technology, and process modeling.
Website: http://www.icaen.uiowa.edu/~ankusiak/

Publicity/Facilities Co-Chair Haldun Aytug, Ph.D. is an Associate Professor of Decision and Information Sciences at the University of Florida.  Dr. Aytug has earned his Bachelors degree in Industrial Engineering from the Bogazici University, Turkey and his Doctoral from the University of Florida. He has been a member of INFORMS since 1992 and has served as an officer of the College of AI. His research interests include machine learning, theory of genetic algorithms and scheduling. His research has been funded by the National Science Foundation.
Website: http://www.cba.ufl.edu/dis/faculty/facultyinfo.asp?WEBID=2102

Publicity/Facilities Co-Chair Janet Twomey, Ph.D. is an Associate Professor in the Industrial and Manufacturing Engineering at Wichita State University, and a former NSF Program Officer.  She received Bachelors, Masters, and Doctoral degrees in Industrial Engineering from the University of Pittsburgh.  She has been serving on the DM Advisory Board since 2003, and she was one of the petitioners for founding the DM Section.  Her research interests include intelligent data processing systems applied to manufacturing and service systems, and her recent projects include green manufacturing and a human computer interface using EEG signals and neural networks.  She has received funding from several companies and the National Science Foundation, including a CAREER Award on her research in neural networks and sparse data sets.
Website: http://engr.wichita.edu/JTwomey/index.htm

Proceedings Chair Sigurdur Olafsson, Ph.D. is an Associate Professor in the Department of Industrial Engineering at Iowa State University.  He received his Bachelors degree in Mathematics from the University of Iceland, and he received his Masters and Doctoral degrees in Operations Research at the University of Wisconsin – Madison.  He serves as the DM Section webmaster and newsletter editor, and he was cluster chair for the 2004 INFORMS invited cluster on Data Mining and Knowledge Discovery.  His supervises a research program in Enterprise Computing, which includes projects on attribute selection in knowledge discovery, clustering high-dimensional nominal data, recommender systems, and scalable e-commerce for reverse logistics.  He has recently served guest editor for a focused issue on Operations Research and Data Mining for Computers & Operations Research.
Website: http://www.imse.iastate.edu/Faculty.html

Review Committee Co-Chair George C. Runger, Ph.D. is a Professor in the Department of Industrial Engineering at Arizona State University.  He holds degrees in Industrial Engineering and Statistics.  He has been serving on the DM Advisory Board since 2003, and he was one of the petitioners for founding the DM Section. His research is on real-time monitoring and control, data mining, and other data-analysis methods with a focus on large, complex, multivariate data streams. In addition to academic work, he was a senior engineer at IBM.  He has received funding from the National Science Foundation.
Website: http://www.fulton.asu.edu/~ie/people/faculty/fulbio/grunger.php

Review Committee Co-Chair Riyaz Sikora, Ph.D. is an Associate Professor of Information Systems at the College of Business at the University of Texas at Arlington. He has Bachelors degree in Electronics and Communication Engineering from Osmania University, India, and a Doctoral degree in Information Systems specializing in AI from the University of Illinois at Urbana-Champaign. His current research interests include multi-agent systems and data mining.  Dr. Sikora is on the editorial board of the Journal of Information Systems and e-Business Management, the Journal of Database Management, and the International Journal of Intelligent Information Technologies. He is a co-founder and co-chair of the AIS SIG on Agent-based Information Systems. He has organized and chaired several tracks at national meetings like INFORMS, DSI, and Workshop on e-Business.
Website: http://www2.uta.edu/infosys/sikora.html