I will be joining as a tenure-track assistant professor at the Department of Computer Science in Rowan University starting from Fall 2025. I received my Ph.D. degree in Computing and Information Sciences at Computational Biomedical Lab (CBL) from Rochester Insitute of Technology in 2024, advised by Dr. Linwei Wang. I earned my master’s degree in Computer Science from the University of Southern California and bachelor’s degree in Electrical Engineering and Automation from the Zhejiang University.

My research interests lie within a broad area of machine learning and health care. More specifically, my research focuses on interdisciplinary directions of adaptive computing in AI models, physics-informed deep learning, and their applications on health care. Below are the research topics that I have been working on:

1. Learning to adapt high-dimensional time series forecasting (ICLR 23) and application on personalized virtual hearts (MICCAI 22)
2. Integrating physics on deep learning models with application on electrocardiographic imaging (TMI 24, TMI 23)

NOTE: I am actively hiring Ph.D. students to join my group. BS or MS students with a background in electrical engineering, computer science, computer engineering, applied statistics / mathematics, or related areas are welcome to apply. All the positions will be fully funded. Please feel free to contact me, and please include your CV, transcripts, and a brief discription of research interest to jiangx [at] rowan [dot] edu with the subject line “Prospective PhD Student [Your Name]”.