Michael Dubé
Dr. Michael Dubé
Chair of Computational Intelligence
I am currently working as the team leader of the MetaSwarmX project and facilitating the exercises for Swarm Intelligence WiSe 2025-2026. I earned my PhD in Bioinformatics in April 2025 from the University of Guelph in Guelph, Ontario, Canada. I earned my MSc in Computer Science from Brock University in St. Catharines, Ontario, Canada.
Publications:
Dubé, Michael. (2025). Epidemics, Proteins, and Evolution: Searching Solution Spaces With the Self-Driving Automaton Representation. Doctoral Dissertation, University of Guelph.
Dubé, Michael; Houghten, Sheridan; Graether, Steffen. (2024). Driving Evolution Towards Discovery of Patterns in Sets of Weakly-Conserved DNA Sequences. 2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 9 pages.
Dubé, Michael; Houghten, Sheridan; Graether, Steffen. (2024). Promoting Diversity in the Evolution of Biological Sequence Data. 2024 IEEE Congress on Evolutionary Computation (CEC). 7 pages.
Yasmeen, Farhana; Dubé, Michael; Houghten, Sheridan. (2024). Immunity Vanishing Act: Epidemic Variant and Immunity Analysis via Evolutionary Computation. 2024 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Dubé, Michael; Sargant, James; Houghten, Sheridan. (2023). Comparison of Representations to Evolve Weighted Contact Networks With Epidemic Properties. 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Dubé, Michael; Sargant, James; Houghten, Sheridan; Graether, Steffen. (2023). From Bits to Bases: Evolving a Versatile Construct for Biological Sequence and Network Data. 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 9 pages.
Dubé, Michael; Olenic, Kevin; Houghten, Sheridan. (2023). What Drives Evolution of Self-Driving Automata?. 2023 IEEE Symposium Series on Computational Intelligence (SSCI). 6 pages.
Yasmeen, Farhana; Dubé, Michael; Houghten, Sheridan. (2023). Severity v. Spread: Evolving Networks and Epidemic Dynamics (Short Paper). 2023 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 2 pages.
Sargant, James; Dubé, Michael; Houghten, Sheridan. (2023). All Lockdowns Are Not Equal: Reducing Epidemic Impact Through Evolutionary Computation. Biosystems, 230, 104935. 17 pages.
Dubé, Michael; Houghten, Sheridan. (2022). Now I Know My Alpha, Beta, Gammas: Variants in an Epidemic Scheme. 2022 IEEE Congress on Evolutionary Computation (CEC). 8 pages.
Dubé, Michael; Houghten, Sheridan. (2022). Evaluation of Frameworks for Epidemic Variants and Infectivity Using an Evolutionary Algorithm. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 9 pages.
Sargant, James; Dubé, Michael; Houghten, Sheridan. (2022). Evolving Lockdown Strategies to Minimize Infections in an Epidemic. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Sargant, James; Houghten, Sheridan; Dubé, Michael. (2022). Evolving Weighted Contact Networks for Epidemic Modeling: The Ring and the Power. 2022 IEEE Congress on Evolutionary Computation (CEC). 9 pages.
Dubé, Michael; Ashlock, Daniel. (2021). Procedural Content Generation of Levels With Increased Connectedness Using Complex String Generators. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 8 pages.
Ashlock, Daniel; Dubé, Michael. (2021). A Comparison of Novel Representations for Evolving Epidemic Networks. 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Jimenez, Rodrigo Vega; Dubé, Michael; Houghten, Sheridan; Hughes, James. (2021). Weighting on the World to Change… an Epidemic. 2021 IEEE Congress on Evolutionary Computation (CEC). 8 pages.
Ashlock, Daniel; Brown, Joseph Alexander; Ashlock, Wendy; Dubé, Michael. (2021). Ring Optimization of Epidemic Contact Networks. 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Beigi, Omid M.; Dubé, Michael; Houghten, Sheridan. (2021). Simulating Partial Immunity in an Epidemic (Short Paper). 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 2 pages.
Hughes, James Alexander; Dubé, Michael; Houghten, Sheridan; Ashlock, Daniel. (2020). Vaccinating a Population Is a Programming Problem. 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Dubé, Michael; Houghten, Sheridan; Ashlock, Daniel; Hughes, James Alexander. (2020). Evolving the Curve. 2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Dubé, Michael; Houghten, Sheridan; Ashlock, Daniel. (2020). Modeling of Vaccination Strategies for Epidemics Using Evolutionary Computation. 2020 IEEE Congress on Evolutionary Computation (CEC). 8 pages.
Dubé, Michael; Houghten, Sheridan; Ashlock, Daniel. (2019). Pandemic: A Graph Evolution Story. 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Dubé, Michael; Houghten, Sheridan; Ashlock, Daniel. (2019). Representation for Evolution of Epidemic Models. 2019 IEEE Congress on Evolutionary Computation (CEC). 9 pages.
Dubé, Michael; Houghten, Sheridan; Ashlock, Daniel. (2018). Parameter Selection for Modeling of Epidemic Networks. 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB). 8 pages.
Dubé, Michael. (2018). The Local Thads-N Generative Representation for Epidemic Profile Matching. Undergraduate Thesis, Brock University.