His research interest mainly lies in the intersection of Artificial Intelligence and Operations Research, particularly in leveraging Deep Reinforcement Learning (DRL) to solve challenging combinatorial optimization problems in various application domains such as the job-shop scheduling problem (JSSP) and the vehicle routing problem (VRP). His Ph.D. study is mainly devoted to developing DRL-based construction and improvement heuristic algorithms for solving JSSP.
Miscellany
Personal interests and hobbies are not mentioned in the provided information.