Kayhan Batmanghelich

Kayhan Batmanghelich is an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University, where he also holds affiliations as a Hariri Institute Junior Faculty Fellow and AIR Affiliate. Previously, he served as an Assistant Professor at the University of Pittsburgh's Department of Biomedical Informatics with a secondary appointment in their School of Computing and Information.

• Education: Ph.D. in Computer Science from the University of Pennsylvania (2012)
• Research Interests: Focus on overcoming AI challenges in healthcare, including Explainability, Data Efficiency, Multimodal Data Fusion, and Causality.

His research develops AI systems for medical imaging, genetics, and electronic health records, particularly targeting diseases like Chronic Obstructive Pulmonary Disease (COPD), Alzheimer’s Disease, and Non-Alcoholic Fatty Liver Disease (NAFLD). Key innovations include biomechanically-informed neural networks for lung tissue stiffness estimation and graph-based AI for multi-scale pulmonary disease analysis.

Recent publications highlight multimodal frameworks for COPD subtyping, vision-language models in mammography, and diffusion models for 3D CT synthesis. His work has been recognized with the NSF CAREER Award and Google Academic Research Award (GARA), alongside Hariri Institute grants.

Awards:

• NSF CAREER Award (2025)
• Google Academic Research Award (2024)
• Hariri Focused Research Program Awards (2024)

His BatmanLab trains students in medical AI and collaborates with institutions like the University of Pittsburgh School of Medicine and Brigham and Women’s Hospital. Funding sources include NIH, NSF, and industry partnerships.