I'm Shadan Golestan, a postdoctoral fellow at the Computing Science of the University of Alberta, working with Prof. Osmar Zaiane.
My research focuses on sequential decision-making algorithms (Reinforcement Learning and Bayesian optimization), and Machine Adaptation for real-world problems.
Before that, I was a PhD candidate 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.
golestan@ualberta.ca
Postdoctoral Fellow
Department Computing Science
University of Alberta
News
Dec 09, 2023- Our paper (with Omid Ardakanian and Pierre Boulanger) on a novel grey-box Bayesian optimization has been accepted at AAAI 2024
- I will be joining the Computing Science department at the University of Alberta and Alberta Machine Intelligence Institute (Amii) as a Postdoctoral Fellow working with Professor Osmar Zaiane. I will research on Reinforcement Learning.
- I have successfully graduated from my PhD studies!