I am Shadan Golestan, a Machine Learning Scientist at Alberta Machine Intelligence Institute (Amii). Before joining Amii, I was a Postdoctoral Fellow working with Prof. Osmar Zaiane at the Computing Science department of the University of Alberta.
I obtained my PhD in computer science from in the same department under the supervision of Prof. Pierre Boulanger. I researched on Bayesian optimization and simulation methodologies for optimizing and evaluating smart indoor spaces.
The figure below shows the main themes of my research: 1: Domain Knowledge Integration via Data-driven Learning, 2: Learning Representations and Synthetic Dataset Generation, and 3: Decision-making Agents.
I focus on designing agents via Reinforcement Learning, Bayesian Optimization, and Large Language Models, to solve sequential decision-making problems, such as system optimization and machine/robot adaptation techniques in real-world applications.
golestan@ualberta.ca
golestan@amii.ca