Dr. Mahdi Imani has received a CRII grant from NSF for his project "Informative Bayesian Learning and Data Gathering Through Expert-Acquired Data". The two-year grant starts in July 2020 and the amount of funding is $175,000.
The project aims to advance the state of the art in learning and data gathering processes, and contribute to the science base of machine learning, control/learning theory and Bayesian statistics. The overarching goal of the project is development of tools for enabling optimal incorporation of the user information during the learning process, as well as learning from multiple data sources acquired by non-similar users/experts.