• D.D. Zeng is with the Institute of Automation, the Chinese Academy of Sciences, Beijing, and the Management Information Systems Department, the University of Arizona, Tucson, AZ 85721.
• H. Chen is with the Management Information Systems Department, the University of Arizona, Tucson, AZ 85721.
• F.-Y. Wang is with the Institute of Automation, the Chinese Academy of Sciences, Beijing, and the Systems and Industrial Engineering Department, the University of Arizona, Tucson, AZ 85721.
• H. Kargupta is with the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250. E-mail: email@example.com.
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Daniel Dajun Zeng (SM-'06) received the BS degree in economics and operations research from the University of Science and Technology of China, Hefei, China, and the MS and PhD degrees in industrial administration from Carnegie Mellon University, Pittsburgh, Pennsylvania. He is an associate professor and Honeywell Fellow in the Department of Management Information Systems at the University of Arizona, Tucson. He is also the director of the Intelligent Systems and Decisions (ISD) Laboratory and the director of the Hoffman E-Commerce Laboratory. He is also affiliated with the Institute of Automation, the Chinese Academy of Sciences. Dr. Zeng's research interests include software agents and their applications, security informatics, social computing, computational support for auctions and negotiations, recommender systems, and spatio-temporal data analysis. He has coedited nine books and published more than 100 peer-reviewed articles in Information Systems and Computer Science journals, edited books, and conference proceedings. He has received multiple best conference paper awards and teaching awards. As a PI or co-PI, in the past eight years, he has received close to $5 million (USD) in research funding, mostly from the US National Science Foundation. He serves on the editorial boards of 10 Information Technology-related journals and has coedited five special topic issues with major technical journals on the topics of security informatics, e-commerce, and social computing. He has played a key role in starting the IEEE conference series on Intelligence and Security Informatics, the Pacific Asia workshop series on Intelligence and Security Informatics, the US National Science Foundation BioSurveillance workshop series, and the workshop on social computing. He is active in MIS and IEEE professional activities and is vice president of Technical Activities for the IEEE Intelligent Transportation Systems Society and Chair of INFORMS College on Artificial Intelligence. He is a senior member of the IEEE.
Hsinchun Chen received the BS degree from the National Chiao-Tung University in Taiwan, the MBA degree from the State University of New Yyork at Buffalo, and the PhD degree in information systems from the New York University. He is McClelland Professor of Management Information Systems at the University of Arizona. Dr. Chen has served as a scientific counselor/advisor of the National Library of Medicine (USA), Academia Sinica (Taiwan), and National Library of China (China). Dr. Chen is a fellow of the IEEE and AAAS. He received the IEEE Computer Society 2006 Technical Achievement Award. He is author/editor of many books, book chapters, and SCI journal and refereed conference articles covering Web computing, search engines, digital library, intelligence analysis, biomedical informatics, data/text/Web mining, and knowledge management. His recent books include: Digital Government: E-Government Research, Case Studies, and Implementation (2007) and Intelligence and Security Informatics for International Security: Information Sharing and Data Mining (2006); and Medical Informatics: Knowledge Management and Data Mining in Biomedicine (2005), all published by Springer. Dr. Chen was ranked #8 in publication productivity in Information Systems (CAIS 2005) and #1 in Digital Library research (IP&M 2005) in two bibliometric studies. He serves on 10 editorial boards including: ACM Transactions on Information Systems and ACM Journal on Educational Resources in Computing, among others. He has been an advisor for major US and international research programs in digital library, digital government, medical informatics, and national security research. Dr. Chen is founding director of Artificial Intelligence Lab and Hoffman E-Commerce Lab. He is conference cochair of ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2004 and has served as the conference/program cochair for the past eight International Conferences of Asian Digital Libraries (ICADL). He is also (founding) conference cochair of the IEEE International Conferences on Intelligence and Security Informatics (ISI) 2003-2008. His COPLINK system, which has been quoted as a national model for public safety information sharing and analysis, has been adopted in more than 550+ law enforcement and intelligence agencies in 20 states. He is the founder of the Knowledge Computing Corporation, a university spin-off company and a market leader in law enforcement and intelligence information sharing and data mining. He has also received numerous awards in information technology and knowledge management education and research.
Fei-Yue Wang (S'87, M'89, SM'94, F'03) received the PhD degree in computer and systems engineering from Rensselaer Polytechnic Institute, Troy, New York ,in 1990. He jointed the University of Arizona in 1990 and became a professor and the director of the Program for Advanced Research in Complex Systems in 1999. In 1999, he found the Intelligent Control and Systems Engineering Center at the Chinese Academy of Sciences, Beijing, China, under the support of the Outstanding Oversea Chinese Talents Program. Since 2002, he has been the director of the Key Laboratory of Complex Systems and Intelligence Science at the Chinese Academy of Sciences. Currently, he is the vice president of research, education, and academic exchange at the Institute of Automation, Chinese Academy of Sciences. His current research interests include social computing, web and services science, modeling, analysis, and control of complex systems; especially social and physical/cyber systems; He was the editor in chief of the International Journal of Intelligent Control and Systems from 1995 to 2000, editor in charge of the Series in Intelligent Control and Intelligent Automation from 1996 to 2004, and EIC, Associate EIC, or Associate Editors of 10 IEEE transactions and magazines. Since 1997, he has served as general or program Ccair of more than 20 IEEE, INFORMS, ACM, ASME international conferences. He was the president of IEEE ITS Society from 2005 to 2007 and the president of Chinese Association for Science and Technology (CAST, USA) in 2005. Currently, he is the president of the American Zhu Kezhen Education Foundation. Dr. Wang is a member of Sigma Xi and an elected fellow of the IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the National Prize in Natural Sciences of China and was elected as the Outstanding Scientist by ACM for his work in intelligent control and social computing.
Hillol Kargupta received the PhD degree in computer science from University of Illinois at Urbana-Champaign in 1996. He is an associate professor in the Department of Computer Science and Electrical Engineering, University of Maryland Baltimore County. He is also a cofounder of AGNIK LLC, a data mining company for distributed, mobile, and embedded devices. His research interests include distributed data mining, data mining in ubiquitous environment, and privacy-preserving data mining. Dr. Kargupta won a US National Science Foundation (NSF) CAREER award in 2001 for his research on ubiquitous and distributed data mining. He, along with his coauthors, received the best paper award at the 2003 IEEE International Conference on Data Mining for a paper on privacy-preserving data mining. He won the 2000 TRW Foundation Award, the 1997 Los Alamos Award for Outstanding Technical Achievement, 1996 SIAM Annual Best Student Paper Award. His research has been funded by the US NSF, US Air Force, US Department of Homeland Security, NASA, and various other organizations. He has published more than 90 peer-reviewed articles in journals, conferences, and books. He has coedited several books including Advances in Distributed and Parallel Knowledge Discovery and Data Mining: Next Generation Challenges and Future Directions (AAAI/MIT Press). He is an associate editor of the IEEE Transactions on Knowledge and Data Engineering, the IEEE Transactions on Systems, Man, and Cybernetics, Part B, and the Statistical Analysis and Data Mining Journal. He regularly serves on the organizing and program committees of many data mining conferences. He is a senior member of the IEEE. More information about him can be found at http://www.csee.umbc.edu/~hillol.