Saturday, November 3, 8:00am-5:00pm

The Artificial Intelligence (AI) and Data Mining (DM) subdivisions of INFORMS are jointly organizing the workshop in conjunction with the 2007 INFORMS Annual Meeting in Seattle, Washington. The objectives of WAID 2007 are to:

• Build meaningful and tangible collaboration between the AI and DM subdivisions.
• Enhance the quality of AI and DM presentations at INFORMS.
• Encourage research collaboration among AI and DM members.
• Publicize the existence of the AI and DM subdivisions at INFORMS and attract new members within and beyond INFORMS.

The workshop will consist of two parallel tracks - an Artificial
Intelligence track and a Data Mining track. Each track will consist of two
morning sessions and two afternoon sessions. Sessions will consist of two to three presentations. At lunch, two resentations are planned - one by each of our sponsors (Salford Systems and SAS). A session is planned in the
afternoon for participants to discuss their research in breakout groups.

Registration
Registration fee for the workshop for all presenters and participants is $50. You must also register for the INFORMS Annual Meeting in order to attend the workshop. Click here to register.

WAID 2007 Call for Papers
Both the College of AI and the DM Section are interdisciplinary 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. More information about these two subdivisions can be found at http://www.informs.org/Subdiv/Section/ai.html and http://dm.section.informs.org/.

The first AI/DM Workshop was held in 2006 prior to the INFORMS Annual Meeting. It was well received with 24 presentations, one tutorial, one panel discussion and close to 100 attendees. WAID 2007 will build on the momentum of the successful first workshop and is seeking research contributions and application case studies highlighting the frontiers of new knowledge and advances in AI and DM, and their business impact.

Abstracts (200 words or less) submitted for the workshop will be reviewed by two members of the Organizing Committee. Authors of accepted abstracts will be expected to give a presentation at the workshop and submit a short paper, not exceeding six pages, for a proceedings that will be distributed at the workshop on CD. We are currently in contact with several journals to discuss the possibility of publishing a special issue based on extended versions of selected high-quality workshop papers. 

Topics of interest include, but are not limited to:

Time line
May 15             200-word abstracts due
June 15                       Acceptance decisions sent out
September 30            Proceedings papers due
November 3            Workshop

Submit abstracts and papers electronically at 2007waid@gmail.com. For inquiries, please contact Program Co-Chairs Wei Jiang wjiang@stevens.edu or Anurag Agarwal aagarwal@ufl.edu.

Workshop Organizing Committee
The committee consists of members from the AI and DM subdivisions:

Program Chairs: Wei Jiang (DM), Anurag Agarwal (AI)
Publicity/Facilities Chairs: Zan Huang (AI), Janet Twomey (DM)
Proceedings Chair: Tory Chen (DM), TBD (AI)
Review Committee Chairs: Andrew Kusiak (DM), Riyaz Sikora (AI)

The Program Chairs will lead the organization of the Workshop with feedback from the entire committee.  The Publicity/Facilities Chairs will coordinate Workshop logistics with INFORMS, including registration, program, facilities and catering. The Proceedings Chair will organize the structure of the Workshop Proceedings, facilitate distribution of the Proceedings and coordinate the special journal issue. The Review Committee Chairs will coordinate the review of abstracts submitted for the Workshop.

Program Co-Chairs
Wei Jiang is an Assistant Professor in the School of Systems and Enterprises at Stevens Institute of Technology.  He holds Bachelors and Master degrees in Applied Mathematics, and a Doctoral degree in Industrial Engineering and Engineering Management. He is a member of the DM and QSR subdivisions, and 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 and business intelligence, quality control and management, and process control and modeling. He is a recipient of the NSF CAREER Award in 2006.

Anurag Agarwal is an Assistant Professor at the Department of Decision and Information Sciences, Warrington College of Business, University of Florida, Gainesville. He received a doctoral degree in MIS from The Ohio State University. His research interests include use of Artificial Intelligence approaches such as Neural Networks and Genetic Algorithms for Data Mining and for solving combinatorial optimization problems. He is a member of the AI section of INFORMS. He is on the editorial board of the journals Information Technology and Management and Enterprise Information Systems. He has organized and chaired several sessions within the AI cluster at INFORMS meetings.

Publicity/Facilities Co-Chairs
Zan Huang is an Assistant Professor of the Department Supply Chain and Information Systems, Smeal College of Business, the Pennsylvania State University. He received Bachelors and Doctoral degrees in Management Information Systems. He is currently serving as Secretary/Treasurer of the INFORMS AI Section. His primary research interest is data analysis and modeling in recommender systems, financial applications, scientific and technology innovations, and bioinformatics. He has particularly focused on data with the inherent graph/network representations and the network modeling and graph analysis methods.

Janet Twomey 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.

Proceedings Chair
Victoria (Tory) Chen 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.

Review Committee Co-Chairs
Andrew Kusiak 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.

Riyaz Sikora 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.

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