Richard Freedman

Richard (Rick) Freedman's research interests lie at the intersection of various areas including: artificial intelligence planning; plan, activity, and intent recognition; human-computer/robot interaction; topic modeling; knowledge representation; and statistical-relational methods. He uses interdisciplinary approaches to develop computational systems that adaptively interact with human users through understanding their actions in the environment. Rick was a NSF EAPSI/JSPS Summer Fellow at the University of Tokyo for the summer of 2015, an EAAI New and Future AI Educator Program Award Recipient in 2017, a finalist at the University of Massachusetts Amherst's 2018 Three-Minute Thesis Competition, a recipient of an Outstanding Reviewer Award at the International Conference on Automated Planning and Scheduling (ICAPS) in 2018, and a SICSA Distinguished Visiting Fellow hosted at Heriot-Watt University and the University of Glasgow in 2023. Rick has also been a lead organizer of the ICAPS Workshop series on User Interfaces and Scheduling and Planning; a member of the 2016, 2018, 2019, and 2023 organizing committees for the Artificial Intelligence for Human-Robot Interaction Symposium; a member of the organizing committee for the 2021 AAAI Undergraduate Consortium; and an organizer for the EAAI Mentored Undergraduate Research Challenge since 2021. In addition to research, he supports developing science, technology, engineering, and mathematics (STEM) activities for K-12 students and providing undergraduate students with opportunities to participate in research activities.

More information can be found at his website: https://www.yetanotherfreedman.com.