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Christopher Geib

Current Professional Position & Background:

With Ph.D. in Artificial Intelligence from University of Pennsylvania, Christopher Geib is currently a Research Fellow at the University of Edinburgh, Dept. of Informatics, researching reasoning on planning & action under uncertainty. Probabilistic intent recognition based on weighted model counting & other hybrid methods to be specific. The relationships between formal grammars & planning systems interest him.

Over the course of his career he has developed a series of plan recognition systems; the Probabilistic Hostile Agent Task Tracker (PHATT) applied to computer network security, insider threat for document misuse, & inferring the goals of elders for assistive technology systems. Before going to Edinburgh he was Principal Research Scientist at Honeywell Labs working on & leading a number of DARPA programs, before which he was a Post Doctoral Fellow at the University of British Columbia.


Dr. Takayuki Ito

Current Professional Position & Background:

Dr. Takayuki Ito

  • 1995, 1997, 2000: B.E., M.E, & Doctor of Engineering from the Nagoya Institute of Technology, respectively.
  • 1999-2001: Research fellow of the Japan Society for the Promotion of Science (JSPS).
  • 2000-2001: Visiting researcher at USC/ISI (University of Southern California / Information Sciences Institute).
  • April 2001 - March 2003: Associate professor of Japan Advanced Institute of Science & Technology (JAIST).
  • April 2003: Joined Nagoya Institute of Technology as an associate professor of Graduate School of Engineering.
  • July 13, 2004: Founder of Wisdom Web Co., Ltd.
  • 2005-2006: Visiting researcher at Division of Engineering & Applied Science, Harvard University & a visiting researcher at Sloan School of Management, Massachusetts Institute of Technology.

Awards:

Best Paper Award of AAMAS 2006, 2005 Best Paper Award from Japan Society for Software Science & Technology, Best Paper Award in the 66th annual conference of 66th Information Processing Society of Japan, & the Super Creator Award of 2004 IPA Exploratory Software Creation Projects.

Research interests:

Multi-agent systems, intelligent agents, group decision support systems, & agent-mediated electronic commerce.


Gal Kaminka

Current Professional Position & Background:

Dr. Gal Kaminka is a Senior Lecturer, Bar Ilan University, Israel and heads the MAVERICK research group. He earned his Ph.D. in Computer Science at University of Southern California with a focus on planning and plan recognition.

His is the co-founder and co-administrator of GameBots, a research test-bed for multi-agent research.

Awards:

Gal received the IBM Faculty Award 2004 for research excellence in the area of model-based diagnosis of multi-agent systems. He also was awarded First Place in the International RoboCup Coach League, 2001. He has also been awarded several grants from several organisations like DARPA, MAFAT and Israeli Science Foundation.

Research interests:

His core research interests include robotics, multiagent teamwork, and intent recognition. His goal is to build robots that are socially-intelligent; that are able to reason about, manipulate, collaborate with, and coordinate with other robots and humans.


Stacy Marsella

Current Professional Position & Background:

Dr. Stacy Marsella is Project Leader at the University of Southern California’s Information Sciences Institute, a Research Assistant Professor in the Computer Science Department, a member of the Center for Advanced Research in Technology for Education and co-director of University of Southern California’s Computational Emotion Group. He earned his B.A. in Economics from Harvard University and his Ph.D. in Computer Science at Rutgers University with a focus on AI planning, human problem solving and cognitive science. He was at Bell Labs before joining the Information Sciences Institute.

He has over 10 years of experience in collaborating on the design and implementation of a wide range of applications that use these technologies, including Carmen's Bright IDEAS interactive drama for teaching problem solving skills to mothers' of paediatric cancer patients, the MRE/SASO military training prototypes, the TLTS foreign language trainer and the ELECT cultural trainer. Dr. Marsella is the author of over 100 technical articles and has chaired numerous workshops and symposiums on multi-agent simulation, emotion, theory of mind and virtual humans.

Research interests:

Dr. Stacy Marsella has lead research efforts on a number of technologies, including the PsychSim multi-agent social analysis tool, the Influence audience analysis tool and the SmartBody virtual human body, as well as co-lead the research on EMA, a computational model of human emotion.

His core research interests include multi-agent simulation and the computational modelling of cognition. He also applies this research to a wide range of applications. His most recent work includes modelling beliefs about others (Theory of Mind) plays in multi-agent based social simulation and the design of virtual humans, software-artefacts that look like, act like and can interact with humans within virtual environments.


Paul Scerri

Current Professional Position & Background:

Dr. Scerri; a System Scientist at the Robotics Institute at Carnegie Mellon University, holds a BS in Applied Science (Honors) from RMIT University in Australia & a PhD from Linkoping University in Sweden. Has been a Research Associate at the Information Sciences Institute at the University of Southern California.

Research interests:

Multi-agent coordination & human interaction with intelligent systems. Has a valuable contribution in the field of adjustable autonomy, multi-agent systems & team work; authored over 80 technical publications including journal articles, book chapters & conference papers; contributions to several NSF & DARPA programs including DARPA programs Software for Distributed Robotics, Robot-Agent-Person Teams & Autonomous Negotiating Teams. Developed software flight tested by the U.S. Air Force & industrial partners.


Peter Stone

Current Professional Position & Background:

Dr. Peter Stone is an Alfred P. Sloan Research Fellow & Assistant Professor in the Department of Computer Sciences at the University of Texas at Austin.

  • 1998: Ph.D in Computer Science from Carnegie Mellon University,
  • 1999 – 2002: Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research.
    Research interests include machine learning, multiagent systems, robotics, & e-commerce.
  • 2003: A CAREER award from the National Science Foundation for Stone's research on learning agents in dynamic, collaborative, & adversarial multiagent environments.
  • 2004: Named an ONR Young Investigator for his research on machine learning on physical robots.
Most recently awarded the prestigious IJCAI 2007 Computers & Thought award.


Milind Tambe

Current Professional Position & Background:

Milind Tambe; Professor of Computer Science, University of Southern California. Ph.D. from the School of Computer Science, Carnegie Mellon University. Leads the TEAMCORE Research Group at USC.

He was general co-chair for the International Joint Conference on Agents & Multiagent Systems (AAMAS) 2004, & program co-chair of the International conference on multi-agent systems (ICMAS) 2000.

Associate editor of the Journal of Artificial Intelligence Research (JAIR) & the Journal of Autonomous Agents & Multi-agent Systems (JAAMAS). Current member of the board of directors of the International foundation for multiagent systems. Also served on the board of trustees of RoboCup, the Robot World Cup Federation.

Awards:

Won the ACM SIGART Agents Research award (2005), the Okawa foundation research grant award (2003), the AAMAS conference best paper award(2002), the RoboCup Scientific Challenge Award for outstanding research (1999), the SASEMAS workshop best paper award (2005), as well as selection among the "best of" papers of CEEMAS (2005), AAMAS (2003), Agents (1999) & ICMAS(1998) conferences.

Research interests:

Multi-agent systems, specifically multi-agent teamwork, adjustable autonomy & distributed negotiations.


Makoto Yokoo

Current Professional Position & Background:

  • 1984 and 1986: B.E. and M.E. degrees in electrical engineering from the University of Tokyo, Japan, respectively.
  • 1995: Ph.D. degree in information and communication engineering in, from the University of Tokyo, Japan.
  • 1986 - 2004: Research scientist of Nippon Telegraph and Telephone Corporation (NTT). He is currently a Professor of Information Science and Electrical Engineering, Kyushu University.
  • 2003: Served as a program co-chair of Autonomous Agents and Multi-Agent Systems (AAMAS).
  • 2007: Served as a general co-chair of International joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2007)

Awards:

Received the ACM SIGART Autonomous Agents Research Award in 2004.

Research interests:

Multi-agent systems, constraint satisfaction, and mechanism design among self-interested agents.

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