Professor Victor Lesser
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Victor R. Lesser received his B.A. in Mathematics from Cornell University in 1966, and the Ph.D. degree in Computer Science from Stanford University in 1973. He then was a post-doc/research scientist at Carnegie-Mellon University, working on the Hearsay-II speech understanding system. He has been a professor in the Department of Computer Science at the University of Massachusetts Amherst since 1977, and was named Distinguished Professor of Computer Science in 2009. His major research focus is on the control and organization of complex AI systems. He is considered a leading researcher in the areas of blackboard systems, multi-agent/ distributed AI, and real-time AI. He has also made contributions in the areas of computer architecture, signal understanding, diagnostics, plan recognition, and computer-supported cooperative work. He has worked in application areas such as sensor networks for vehicle tracking and weather monitoring, speech and sound understanding, information gathering on the internet, peer-to-peer information retrieval, intelligent user interfaces, distributed task allocation and scheduling, and virtual agent enterprises. Professor Lesser is a Founding Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and an IEEE Fellow. He was General Chair of the first international conference on Multi-Agent Systems (ICMAS) in 1995, and Founding President of the International Foundation of Autonomous Agents and Multi-Agent Systems (IFAAMAS) in 1998. To honor his contributions to the field of multi-agent systems, IFAAMAS established the "Victor Lesser Distinguished Dissertation Award." He received the UMass Amherst College of Natural Sciences and Mathematics (NSM) Outstanding Teaching Award (2004) and Outstanding Research Award (2008), and the Chancellor's Award for Outstanding Accomplishments in Research and Creative Activity (2008). Professor Lesser was also the recipient of the IJCAI-09 Award for Research Excellence. Reflections on Being an AI System Architect
A discussion of some of the key insights that have motivated my research |
