Mohammad’s current research interests lie at the intersection of Statistical Machine Learning and Operations Research. He is interested in designing online learning and online optimization algorithms that learn over time to make effective decisions under an uncertain environment. His research is motivated by real-world needs and driven by many problems with both practical impact and interesting theoretical challenges. Applications of his research include Healthcare Operations Management, Personalized Medical Decision Making, and Business Analytics. His work has been applied to intensive care unit management, glaucoma, and diabetes.
Academic Advisor: Mark Van Oyen
Position Sought: Academic, Industry
Student Lecturer (Fall 2020): IOE 201 – Economic Decision Making