About

I am a Lecturer (i.e., Assistant Professor) in the DSAI at Monash University, the AI and ML theme coordinator for Building 4.0 CRC, an associate investigator for OPTIMA ARC, and an academic supervisor for Monash DeepNeuron. 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. I was also a Postgraduate Affiliate with the Vector Institute and a visiting researcher at the Australian National University.

Research Interests and Available Projects

My research is in the intersection of sequential decision making, mathematical optimisation and machine learning. I am currently offering the following Ph.D. projects:

• Safe Continuous-time Automated Decision Making with Mathematical Optimisation
• Safe Neuro-symbolic Automated Decision Making with Mathematical Optimisation
• Measures of Simplicity in Optimisation-based Machine Learning

Please apply via the respective link provided for each project.

News

• Sep, 2023: Paper on bayesian optimisation for protein formulation got accepted to ICMLA-2023.
• Feb, 2023: Paper on robust continuous-time planning in stochastic environments using optimisation got accepted to ICAPS-2023.
• Sep, 2022: Received 100k funding for Human-in-the-loop Microgrid project with ENGIE.
• Sep, 2022: Paper on robust and interpretable ML using Optimisation got accepted to SSCI-2022.
• Apr, 2022: Received 226k funding for AI Biochemist project with CSL Behring.