Personal profile
Biography
I am a Senior Lecturer and the Director of Student Experience in the FIT at Monash University, and an associate investigator for OPTIMA ARC. I have earned my Ph.D. (2020) on the topic of optimal planning with deep neural networks, my MASc. (2016) on the topic of least-commitment partial-order planning and my BASc. in Industrial Engineering (2014) from University of Toronto. Previously, I was the AI and ML theme coordinator for Building 4.0 CRC, a Postgraduate Affiliate with the Vector Institute and a visiting researcher at the Australian National University.
Research interests
My research is in the intersection of sequential decision making, mathematical optimisation and machine learning.
You can apply for the research projects that I am offering here.
Education/Academic qualification
Optimal Planning with Learned Neural Network Transition Models, Ph.D., University of Toronto
1 Sept 2016 → 14 Apr 2020
Award Date: 18 Jun 2020
Mixed-Integer Linear Programming Models for Least-Commitment Partial-Order Planning, M.A.Sc., University of Toronto
1 Sept 2014 → 7 Nov 2016
Award Date: 15 Mar 2017
Industrial Engineering, B.A.Sc., University of Toronto
1 Sept 2010 → 18 Jun 2014
Award Date: 18 Jun 2014
Research area keywords
- Automated Planning
- Operations Research
- Neural Networks
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy
Collaborations and top research areas from the last five years
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Intelligent Robotics for Pharmaceutical Formulation Development
Kulic, D. (Primary Chief Investigator (PCI)), Burke, M. (Chief Investigator (CI)), Pham, H. (Partner Investigator (PI)), Vong, C. (Associate Investigator (AI)), Aleti, A. (Chief Investigator (CI)) & Say, B. (Chief Investigator (CI))
15/09/24 → 14/09/27
Project: Research
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Human-in-the-loop Microgrid Project: Human-in-the-loop Microgrid Project
Wang, H. (Primary Chief Investigator (PCI)), de Nijs, F. (Chief Investigator (CI)) & Say, B. (Chief Investigator (CI))
ARC - Australian Research Council
15/11/23 → 14/05/27
Project: Research
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HARNESS: Hierarchical Abstractions and Reasoning for Neuro-Symbolic Systems
Rezatofighi, H. (Primary Chief Investigator (PCI)), Garcia De La Banda Garcia, M. (Chief Investigator (CI)), Li, Y.-F. (Chief Investigator (CI)), Stuckey, P. (Chief Investigator (CI)), Gasevic, D. (Chief Investigator (CI)), Gutierrez, J. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Ignatiev , A. (Chief Investigator (CI)), Swiecki, Z. (Chief Investigator (CI)), Vered, M. (Chief Investigator (CI)), Chen, G. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)) & Say, B. (Chief Investigator (CI))
20/06/23 → 20/02/27
Project: Research
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AI Biochemist - Software Infrastructure and Algorithm Development Phase 2
Aleti, A. (Primary Chief Investigator (PCI)), Say, B. (Chief Investigator (CI)) & Webb, G. (Chief Investigator (CI))
1/04/22 → 31/12/23
Project: Research
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A Metric Hybrid Planning Approach to Solving Pandemic Planning Problems with Simple SIR Models
Gestetner, A. & Say, B., 2026, Proceedings of the 18th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, . Paula Rocha, A., Wahde, M. & Jaap van den Herik, H. (eds.). Setúbal Portugal: Scitepress, Vol. 3. p. 2273-2283 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
A Bayesian Optimisation with segmentation approach to optimising liquid handling parameters
Yap, E., Huynh, V., Vong, C., Vogel, P., Louzado, V., Barnes, T., Say, B., Burke, M., Kulic, D. & Aleti, A., Dec 2025, In: Journal of Process Control. 156, 10 p., 103571.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Human-in-the-Loop AI for HVAC Management Enhancing Comfort and Energy Efficiency
Liang, X., de Nijs, F., Say, B. & Wang, H., 2025, Proceedings of the 16th ACM International Conference on Future and Sustainable Energy Systems. Nieße, A. (ed.). New York NY USA: Association for Computing Machinery (ACM), p. 359-370 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Probabilistic Active Goal Recognition
Zhang, C., Rojas Cardenas, C., Rezatofighi, H., Vered, M. & Say, B., 2025, 22nd International Conference on Principles of Knowledge Representation and Reasoning. Ortiz, M., Wassermann, R. & Schaub, T. (eds.). Marina del Rey CA USA: Association for the Advancement of Artificial Intelligence (AAAI), p. 880–890 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile -
Rapid identification of protein formulations with Bayesian Optimisation
Huynh, V., Say, B., Vogel, P., Cao, L., Webb, G. & Aleti, A., 2023, Proceedings - 2023 International Conference on Machine Learning and Applications, ICMLA 2023. Arif Wani, M., Boicu, M., Sayed-Mouchaweh, M., Henriques Abreu, P. & Gama, J. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 776-781 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
3 Link opens in a new tab Citations (Scopus)