Presenter

Dr. Freedman's research interests lie at the intersection of various areas including: artificial intelligence planning; plan, activity, and intent recognition; human-computer/robot interaction; knowledge representation; and statistical-relational methods. He uses these interdisciplinary approaches to develop computational systems that adaptively interact with human users through understanding their actions in the environment. Throughout his nearly ten years of experience, Dr. Freedman has served on organizational roles in the ICAPS Workshop series on User Interfaces and Scheduling and Planning, Artificial Intelligence for Human-Robot Interaction Symposium, AAAI Undergraduate Consortium, and EAAI Mentored Undergraduate Research Challenge. At SIFT, Dr. Freedman has been involved in studying how machines can solve problems creatively, modeling how an autonomous system should reason about what to do based on limited communication from others, and designing games for use in social science experiments. He is currently co-PI on an effort to have computers autonomously recognize and explain how remote cancer patients are physically performing to their physicians.