Sheila McIlraith

Professor, Department of Computer Science
Canada CIFAR AI Chair(Vector Institute)
Associate Director and Research Lead,
       Schwartz Reisman Institute for Technology and Society

Affiliate Member, U of T Robotics Institute

D.L. Pratt Building, Room 398D
Department of Computer Science
University of Toronto

Directions for visitors to the university.

phone: 416-946-8484
email: sheila [at] cs [dot] toronto [dot] edu
home page:
admin: Luna Boodram, 416-946-0161

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Sheila McIlraith is a Professor in the Department of Computer Science, University of Toronto, Canada CIFAR AI Chair (Vector Institute for Artificial Intelligence), and Associate Director and Research Lead of the Schwartz Reisman Institute for Technology and Society. Prior to joining U of T, McIlraith spent six years as a Research Scientist at Stanford University, and one year at Xerox PARC. McIlraith is the author of over 100 scholarly publications in the area of knowledge representation, automated reasoning and machine learning. Her work focuses on AI sequential decision making broadly construed, through the lens of human-compatible AI. McIlraith is a fellow of the ACM, a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and a past President of KR Inc., the international scientific foundation concerned with fostering research and communication on knowledge representation and reasoning. She is currently serving on the Standing Committee of the Stanford One Hundred Year Study on Artificial Intelligence (AI100). McIlraith is an associate editor of the Journal of Artificial Intelligence Research (JAIR), a past associate editor of the journal Artificial Intelligence (AIJ), and a past board member of Artificial Intelligence Magazine. In 2018, McIlraith served as program co-chair of the 32nd AAAI Conference on Artificial Intelligence (AAAI-18). She also served as program co-chair of the International Conference on Principles of Knowledge Representation and Reasoning (KR2012), and the International Semantic Web Conference (ISWC2004). McIlraith's early work on Semantic Web Services has had notable impact. In 2011 she and her co-authors were honoured with the SWSA 10-year Award, a test of time award recognizing the highest impact paper from the International Semantic Web Conference, 10 years prior, and in 2022 McIlraith and co-authors were honoured with the 2022 ICAPS Influential Paper Award, recognizing a significant and influential paper published 10 years prior at the International Conference on Automated Planning and Scheduling.

McIlraith's areas of research include:

  • (Data-intensive) sequential decision making in its many guises
  • Human-compatible AI, AI Safety, and AI Alignment
  • Commonsense reasoning
  • Reinforcement learning with human tasking and advice
  • People, devices, programs, and data seamlessly working together
  • KRR for the Semantic Web, including representation and automated composition of customized and personalized Services and Processes on the Web and in the Cloud
  • Cognitive robotics
  • Human-aware AI
  • Plan and program synthesis from preferences, safety constraints and sketches specified in LTL, Golog, HTNs, automata, ...
  • diagnostic problem solving (diagnosis, testing and repair) of discrete and hybrid (discrete + continuous) dynamical systems
  • probabilistic reasoning and the integration of probabilities and logic.
  • reasoning with logical theories, including detecting and exploiting structure in logical theories to improve the efficiency of reasoning
  • mathematical foundations of KRR