Randy Goebel
Fellow
Academic Affiliations
Industry and Research Affiliations
Areas of Expertise
Fellow
Academic Affiliations
Industry and Research Affiliations
Areas of Expertise
Randy Goebel is interested in the logic of machine learning, employing non-deductive reasoning to build theoretical models that accurately describe and predict the world.
Randy Goebel is interested in the logic of machine learning, employing non-deductive reasoning to build theoretical models that accurately describe and predict the world. His research currently focuses on the development and application of non-deductive reasoning techniques (non-monotonic reasoning and belief revision) and their application to automated diagnosis, scheduling, database mining, and related areas. He focuses on the challenge of retaining the clarity and robustness of good theory while making progress in deployment in real applications. Randy also works on the development of constraint languages and algorithms for restricted classes of application domains. These include personnel scheduling, high school timetabling, and the parallel development of visualization and user interaction tools to help develop specifications for these problems. Randy applies his work to create hypotheses on protein structures, for the automatic formation of semantic indexing structures that can support content-based retrieval of text and images, which includes creating competition-winning legal reasoning systems.
Randy is a Fellow and Member of the Board of Directors at Amii and a Professor of Computing Science at the University of Alberta where he also held the position of Associate Vice President (Academic). He was one of four original founding researchers of Amii and currently is a Fellow and sits on our Board of Directors. He is also the interim Executive Director of the NRC/UAlberta Nanotechnology initiative, a member of the scientific advisory board of DFKI (the German Institute for AI), the China Institute at the University of Alberta, and sits on the National Program Committee of the Pan-Canadian AI Strategy. He is also a scientific advisor to ROSS Intelligence (Toronto, CA), Intellicon (Seoul, KR), and AI Fred (Montréal, CA). Over his career, Randy has supervised more than 85 early-stage researchers at the MSc, PhD and Post-doctoral Fellow levels, and he has published more than 200 publications including refereed and invited papers and publications in books. He is a highly-regarded speaker, having delivered talks at academic conferences and institutions as well as businesses and governmental organizations around the world.
Randy has supervised more than 50 early-stage researchers at the MSc, PhD and Post-doctoral Fellow levels, and he has published more than 200 publications.
Mar 13th 2023
News
This AI Meetup discussed using federated learning in healthcare projects and beyond, feat. Amii Fellows Ross Mitchell & Randy Goebel.
Feb 26th 2023
Research Post
Nov 23rd 2022
News
Amii researchers present their work in the fields of reinforcement learning, natural language processing, data optimization and more at the 2022 Conference on Neural Information Processing Systems.
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