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Dr. Shen's current research interests include Self-Reconfigurable Robots, Autonomous Learning Agents, Multi-agent Systems, Data Mining, and Philosophy of Sciences. He is the author of the book Autonomous Learning from the Environment (Computer Science Press, 1994) and more than 75 technical papers in journals and conferences. He has hold three pending patents with his colleagues in Robotics and Complex Systems. He has served on various program committees for conferences and workshops (such as AAAI, Autonomous Agents, IAS, KDD, PKDD, ICRA), editorial boards and reviewers for journals (such as Intelligent Data Analysis, AIJ, Autonomous Robots, JAIR, IEEE Trans. on DKE, Machine Learning, Decision Support Systems, and Distributed and Parallel Databases), editors for books (Handbook of KDD by Cambridge, and Learning Action Models from AAAI), review panels for NSF, and the executive board for the International Robot Soccer Federation. He is currently a Principle Investigator for DARPA, AFOSR and NSF in the areas of Self-Reconfigurable Robots, Digital Hormones, Autonomous Learning Agents, and Data Mining. Dr. Shen is the recipient of a 1996 AAAI Robotics Competition Silver-Medal Award, a 1997 RoboCup World Championship Award, a 1997 Meritorious Service Award at USC/ISI, and a Phi Kappa Phi Faculty Recognition Award at USC in 2003. His work has been reported by many news media, including CNN, PBS, Discovery, LA Times, SCIENCES, BYTE, Chinese World Journal, Christian Science Monitor, InformationWeek, and New Scientists.
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