Sven Koenig

Award Recipient
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Sven Koenig is a professor in computer science at the University of Southern California (USC). Most of his research centers around techniques for decision making that enable single situated agents (such as robots or decision-support systems) and teams of agents to act intelligently in their environments. He also served as a program director at NSF, where he helped to manage the Research Experiences for Undergraduates Sites program.

Sven is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and a senior member of IEEE. He was conference or program co-chair of the International Conference on Automated Planning and Scheduling (ICAPS) in 2004, the International Conference on Autonomous Agents and Multiagent Systems in 2005, the International Symposium on Combinatorial Search (SoCS) in 2009, the AAAI Conference in 2015, and the Symposium on Educational Advances in Artificial Intelligence in 2016 and 2017. He is the chair of the ACM Special Interest Group on Artificial Intelligence, and editor of Artificial Intelligence Magazine and the Communications of the ACM, and an associate editor of the Artificial Intelligence journal, the Autonomous Agents and Multi-Agent Systems journal, and the Advances in Complex Systems journal. He was a councilor of AAAI, a member of the advisory board of the Journal of Artificial Intelligence Research, an associate editor of Computational Intelligence, and a member of the steering committees of ICAPS and SoCS.

Sven was repeatedly a judge at the Intel International Science and Engineering Fair, co-organized many USC Programming Contests and has developed several open-source project texts that teach concepts from artificial intelligence with video games. His “Programming Pinball Machines” project developed hardware and software that let undergraduate students program games on actual pinball machines.

Awards

2017 Computer Science and Engineering Undergraduate Teaching Award
“For his commitment to engaging students through project-based learning and mentoring that cultivates a passion for artificial intelligence.”
Learn more about the Computer Science and Engineering Undergraduate Teaching Award