Publications
Please note: this page is infrequently updated and non-comprehensive. You may consider checking one of these: Michael Liut on Google Scholar or Michael Liut on DBPL.
2022
- Angela Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Andrew Petersen, Sadia Sharmin and Lisa Zhang. Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing. To Appear in the 53rd ACM Technical Symposium on Computer Science Education, Providence, USA, March 2022.
SIGCSE 2022 Publication Pending!
2021
- Ali Raza, Lazar Lolic, Shahmir Akhter, Michael Liut. Comparing and Evaluating Indoor Positioning Techniques. To Appear in the Proceedings of the 2021 IEEE International Conference on Indoor Positioning and Indoor Navigation, Lloret de Mar, Spain, November 2021.
Our Data/Results (IPIN publication pending!)
- Anna Ly, Jack Parkinson, Quintin Cutts, Michael Liut and Andrew Petersen. Spatial Skills and Demographic Factors in CS1. To Appear in the 21st ACM International Conference on Computing Education (Koli Calling), Koli, Finland, November 2021.
Koli Calling 2021 Publication Pending!
- Muyu Wang, Naaz Sibia, Ilir Dema, Michael Liut and Carlos Aníbal Suárez. Building a Better SQL Automarker for Database Courses. To Appear in the 21st ACM International Conference on Computing Education (Koli Calling), Koli, Finland, November 2021.
Koli Calling 2021 Publication Pending!
- Anna Ly, John Edwards, Michael Liut, Andrew Petersen. Revisiting Syntax Exercises in CS1. To Appear in the 22nd ACM Annual Conference on IT Education, Snowbird, United States, October 2021.
- Frantisek Franek and Michael Liut. Computational Substantiation of the d-step Conjecture for Distinct Squares Revisited. Proceedings of the Prague Stringology Conference (PSC) 2021, Prague, Czech Republic, August 2021.
- Larry Zhang, Andrew Petersen, Michael Liut, Bogdan Simion, Furkan Alaca. A Multi-Course Report on the Experience of Unplanned Online Exams. Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, Toronto (Virtual), Canada, March 2021.
2020
- Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley. Choosing Code Segments to Exclude from Code Similarity Detection. ITiCSE-WGR 2020, Norway (Virtual).
- Frantisek Franek and Michael Liut. Computing Maximal Lyndon Substrings of a String. Algorithms 2020.
- Arnaud Deza, Haocheng Hu, Vaishvik Maisuria, Michael Liut, Andrew Petersen, Bogdan Simion. Using Discussion Board Data to Hire Teaching Assistants. Sixth SPLICE Workshop at L@S 2020, August 2020.
2019
- Michael Liut. Computing Lyndon Arrays. Ph.D. Thesis, McMaster University, September 2019.
Supervisors: Drs. Antoine Deza and Frantisek (Franya) Franek
Committee: Drs. Reza Samavi (chair), Emil Sekerinski, Alexander Rosa, Jan Janousek (external)
- Franya Franek and Michael Liut. Algorithms to Compute the Lyndon Array Revisited. Proceedings of the Prague Stringology Conference (PSC) 2019, Prague, Czech Republic, August 2019.
- Michael Liut and Zhongyan (Joe) Guan. A Robust and Dynamic Formulation for Predicting Student Offer Acceptance. Symposium on Data Science and Statistics (SDSS) 2019, Bellevue, Washington, USA, May 2019.
- Franya Franek and Michael Liut. Computing maximal Lyndon substrings of a string. AdvOL Technical Report No. 2019/2, Hamilton, Ontario, Canada, March 2019.
2018
- Frantisek Franek, Michael Liut and William F. Smyth. On Baier's sort of maximal Lyndon substrings. Proceedings of the Prague Stringology Conference (PSC) 2018, Prague, Czech Republic, August 2018.
Selected Talks
Mental Health, Equity, and Inclusion with Scenarios at the Department of Mathematical and Computational Sciences, University of Toronto Mississauga Teaching Assistant Training Day. Sept 2021. In collaboration with Ravi Gabble and Nythalah Baker.
One-on-One Scenarios & Conflict Management at the Department of Mathematical and Computational Sciences, University of Toronto Mississauga Teaching Assistant Training Day. Sept 2021. In collaboration with Ehsaan Hossain.
Incorporating Resubmission into Skills-based Courses at the University of Waterloo Teaching and Learning Conference (UWTL). April 2021. In collaboration with Andrew Petersen.
Mental Health, Equity, and Conflict Resolution at the Department of Mathematical and Computational Sciences, University of Toronto Mississauga Teaching Assistant Training Day. Sept 2020. In collaboration with Ravi Gabble and Nythalah Baker.
Content from Computer Science Talks at the Department of Mathematical and Computational Sciences, University of Toronto Mississauga. Mar 2020.
Content from Computer Science Talks at the Department of Computer Science, University of Toronto. Dec 2019.
Graduate Professional Development Conference at the University of Toronto Mississauga
- Python Skills for Graduate Students. Robert Gillespie Academic Skills Centre Workshop. Oct 2019.
Graduate Student Speaker at the Advanced Optimization Laboratory, McMaster University
- Computing Lyndon Arrays. AdvOL Seminar Series. Mar 2019.
Invited Speaker at the Facultad de Ciencias Naturales y Matemáticas, Escuela Superior Politécnica del Litoral.
- Computing Lyndon Arrays. International Seminars "Optimization and Applications". Feb 2019.
- Effective Teaching; Accessible Content, Effective Communication, and Assessment Methods. Workshops on Effective Teaching and Internships at Technology Companies. Feb 2019.
Workshop Facilitator at the MacPherson Institute, McMaster University
- Increasing Student Engagement with Piazza. Lunch and Learn Workshop Series. Jan 2019.
- Integrate Piazza and Gamify with Quizizz. New Faculty: Teaching and Technology. Nov 2018.
Invited Speaker at Life in Computing & Software's Academic Seminar Series, McMaster University
- Docker - OS Level Virtualization. Mar 2018.
Guest Lecturer for CS/SE 3/4/6O03: Linear Optimization, McMaster University
- Fairness: An Optimization Problem. Oct 2017.