Who is Michael?
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Michael Liut is an Associate Professor, Teaching Stream (Computer Science) in the Department of Mathematical and Computational Sciences and cross-appointed in both the Institute for the Study of University Pedagogy, University of Toronto Mississauga and in the Department of Computer Science, University of Toronto. Additionally, Michael is an Adjunct Professor in the Department of Computing and Software, Faculty of Engineering, McMaster University.
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Michael is positioned at the intersection of computer science and education. With a primary research emphasis on applied AI/ML in education, delving into the intricate realms of educational technologies, data systems, cybersecurity, algorithmic design, and student behaviour. His passion lies in harnessing these insights to craft adaptive experimentation and innovative behavioural interventions. At the heart of his work, Michael strives to refine and enhance the educational journey. He dedicates considerable effort to the creation and refinement of models, tools, and interventions that aspire to elevate the academic experience for his students. Note: Michael is currently accepting Master and PhD graduate students! Contact me!
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Research Areas & Interests
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More Information
GitHub:
https://github.com/MichaelLiut LinkedIn: https://ca.linkedin.com/in/mliut Publications: DBLP, Google Scholar, ACM Profile, and ORCiD |
News!
- I was on CBC's Metro Morning with David Commons talking about AI in Education! Listen to the audio!
- My Educational Tool QuickTA is currently deployed in courses at the University of Toronto Mississauga!
- Checkout UofT's Magazine article on "Education is Evolving in the Age of AI"
Awards/Recognitions
- UofT's Cheryl Regehr Early Career Teaching Award (ECTA) 2025-2026. See news clip 1 and news clip 2!
- UTM Dean's Merit Award. Summer 2021, 2022, 2024, 2025, and 2026. MCS Department, University of Toronto Mississauga.
- Outstanding Faculty Guidance & Support Award. May 2021. UofT Student Life. See video.
Service Appointments and Positions
- Track Chair for Educational Advances in Artificial Intelligence (2025 - 2026)
- Co-Chair for ACM's SIGMOD/PODS' DataEd (2024 - 2026)
- Faculty Advisor for WiSC: Women in Science & Computing (2019 - 2026)
- Program Committee for ACM's SIGMOD/PODS' DataEd (2022 - 2024)
- Guest Editor for Springer's Education and Information Technology Special Issue (2022 - 2023)
- Faculty Advisor for UTM's CSSC: Computer Science Student Community (formerly, Hacklab) (2020 - 2023)
- Co-Chief Editor for the FYMSiC Newsletter (2019 - 2022)
Research Groups
- COmputational Research and Education (CORE) Lab at the University of Toronto
- CS Education Research Group at the University of Toronto
- Former: Indoor Positioning & Computer Vision Research Group at the University of Toronto
- Former: Advanced Optimization Research Laboratory (AdvOL) at McMaster University
Technology Quotes
"The traditional mathematician recognizes and appreciates mathematical elegance when he sees it. I propose to go one step further, and to consider elegance an essential ingredient of mathematics: if it is clumsy, it is not mathematics."
- Edsger Dijkstra
"Programming is not a zero-sum game. Teaching something to a fellow programmer doesn't take it away from you. I'm happy to share what I can, because I'm in it for the love of programming."
- John Carmack
"Computer science is no more about computers than astronomy is about telescopes."
- Edsger Dijkstra
- Edsger Dijkstra
"Programming is not a zero-sum game. Teaching something to a fellow programmer doesn't take it away from you. I'm happy to share what I can, because I'm in it for the love of programming."
- John Carmack
"Computer science is no more about computers than astronomy is about telescopes."
- Edsger Dijkstra