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Invited Speakers
In addition to the oral presentations of accepted papers, there will be two invited speakers:
Dr. Kendra E. Moore
Program Manager, DARPA / IPTO
3701 Fairfax Drive
Arlington, VA 22203-1714
Website: http://www.darpa.mil/IPTO/personnel/moore.asp
Dr. Moore's research interests include automatic pattern learning and change detection in complex spatio-temporal data streams. This spans learning data representations, and activity and movement models, and adapting to changes as they occur. Dr. Moore is also interested in developing technology to understand, support, and assess peer production-based information fusion systems. Dr. Moore currently manages the Predictive Analysis for Naval Deployment Activities (PANDA) program. She also managed the Fast Connectivity for Coalition Agents Program (Fast C2AP) program, which transitioned to the US Navy's GCCS-M program in October 2007.
Dr. Moore joined DARPA in 2005. Prior to joining DARPA, Dr. Moore was president and founder of Advestan, Inc., where she provided R&D consulting services to DoD customers and contractors in advanced estimation, analysis, and exploitation for large-scale information fusion applications. Before starting Advestan, Dr. Moore was the Director of Information Fusion at ALPHATECH, Inc. (now BAE Systems). She also served on the Problem-Centered Intelligence, Surveillance, and Reconnaissance (PCISR) study panel to develop recommendations for new all-source ISR architectures for a national intelligence agency. Prior to that, she developed, extended, and applied large-scale systems analysis techniques to a wide range of military command and control systems.
Dr. Moore holds Ph.D. (1998) and M.S. (1989) degrees in Operations Research from Northeastern University, and M.A. (1985) and B.A., (1981) degrees in Philosophy and Religion from Columbia University and Stephens College, respectively.
Professor Jiawei Han
Data Mining Group
Department of Computer Science
University of Illinois at Urbana-Champaign
Website: http://www.cs.uiuc.edu/~hanj
Jiawei Han is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research expertise include data mining, data warehousing, database systems, data mining from spatiotemporal data, multimedia data, stream and RFID data, social network data, and biological data. He has written over 350 journal and conference publications. He has chaired or served in over 100 program committees of international conferences and workshops, including PC co-chair of 2005 (IEEE) International Conference on Data Mining (ICDM), Americas Coordinator of 2006 International Conference on Very Large Data Bases (VLDB). He is also serving as the founding Editor-In-Chief of ACM Transactions on Knowledge Discovery from Data. He is an ACM Fellow and has received 2004 ACM SIGKDD Innovations Award and 2005 IEEE Computer Society Technical Achievement Award. His book “Data Mining: Concepts and Techniques” 2nd ed., Morgan Kaufmann, 2006) has been popularly used as a textbook worldwide. |
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