Dr. Jeff Ji primarily focuses on multimodal optimization, constrained optimization, and expensive optimization. His current research explores the use of deep learning regression models and parallel computing to address optimization challenges in multimodal summarization with multimodal output (MSMO) for healthcare robotics.
I'm interested in developing efficient evolutionary models and algorithms for constrained optimization, multimodal optimization, and expensive optimization, etc.