Publications, involvement in significant research projects such as the AgAID AI Institute, and work on bipedal robot locomotion.
Research Experience
1. AgAID AI Institute - AI for Agricultural Applications.
2. Learning and Planning for Bipedal Robot Locomotion: Co-directing the Dynamic Robot Lab (DRL) with Jonathan Hurst, studying techniques for training the bipedal robot Cassie to exhibit agile biped locomotion.
3. Machine Common Sense: A DARPA-funded project in collaboration with Karen Adolph at NYU and Tucker Hermans at the University of Utah, aiming to develop AI systems with common sense reasoning and planning capabilities comparable to those of an 18-month-old infant.
4. Explainable Artificial Intelligence: Developing the xACT paradigm, which allows testers to observe, evaluate, and understand the rationale behind the decisions made by machine-learned systems.
5. Anomaly Detection and Explanation: Focusing on security applications and interaction with end-user analysts.
Education
B.S. in Electrical Engineering from the University of Maine, 1997; M.S. in Computer Engineering from Purdue University, 2000; Ph.D. in Computer Engineering from Purdue University, 2004 (advised by Robert Givan).
Background
Research Interests: Artificial Intelligence, with a focus on the intersection of machine learning and automated planning. Professional field: Electrical Engineering and Computer Science. Brief introduction: Professor and Associate Head of Research at the School of Electrical Engineering and Computer Science, Oregon State University.