Scholar
Xiajun Jiang
Google Scholar ID: P9klFBUAAAAJ
Rowan University
Citations & Impact
Citations
129
H-index
7
i10-index
5
Publications
19
Co-authors
31
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Publications: Learning to adapt high-dimensional time series forecasting (ICLR 23) and application on personalized virtual hearts (MICCAI 22); Integrating physics on deep learning models with application on electrocardiographic imaging (TMI 24, TMI 23).
Research Experience
- A tenure-track assistant professor at the Department of Computer Science in Rowan University starting from Fall 2025.
Education
- Received a Ph.D. degree in Computing and Information Sciences from the Computational Biomedical Lab (CBL) at Rochester Institute of Technology in 2024, advised by Dr. Linwei Wang; earned a master’s degree in Computer Science from the University of Southern California; and a bachelor’s degree in Electrical Engineering and Automation from Zhejiang University.
Background
- Research interests lie within a broad area of machine learning and health care. Specifically, research focuses on interdisciplinary directions of adaptive computing in AI models, physics-informed deep learning, and their applications on health care.
Miscellany
- Actively hiring Ph.D. students with backgrounds in electrical engineering, computer science, computer engineering, applied statistics/mathematics, or related areas to join his group. All Ph.D. positions will be fully funded.
