Jeff Ji serves as a Research Assistant Professor in the Department of Computing & Decision Sciences at Lingnan University, Hong Kong. He primarily focuses on areas like multimodal optimization, constrained optimization, and expensive optimization. Presently, his research endeavors delve into the utilization of deep learning regression models and the application of parallel computing to address optimization problems that are resource-intensive and time-consuming.
I'm interested in developing efficient evolutionary models and algorithms for constrained optimization, multimodal optimization, and expensive optimization, etc.