Richard Freedman

rfreedman at sift dot net

Ph.D., Computer Science, University of Massachusetts Amherst, 2020

M.S., Computer Science, University of Massachusetts Amherst, 2016

B.S. with Honors, Computer Science, Wake Forest University, 2012

B.S. with Honors, Mathematics, Wake Forest University, 2012

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: