Amir Amini

Amir A. Amini is a Professor and Endowed Chair of Bio-Imaging at the University of Louisville's Department of Electrical and Computer Engineering. He holds a B.S. from the University of Massachusetts Amherst and a Ph.D. from the University of Michigan's Artificial Intelligence Laboratory. His research focuses on biomedical imaging, particularly MRI methods for cardiovascular analysis and lung cancer detection using AI/deep learning. He has held leadership roles in major conferences like IEEE ISBI and serves as Editor-in-Chief of the IEEE Transactions on Biomedical Engineering. His work includes developing datasets like NLSTx and attention-based networks for lung nodule classification.

Education:

• B.S., Electrical Engineering, University of Massachusetts Amherst (1983)
• M.S.E., Electrical Engineering, University of Michigan (1984)
• Ph.D., Electrical Engineering, University of Michigan (1990)

Research Interests: Development of MRI methods for motion/flow measurement, AI-driven image analysis for cardiovascular imaging, lung cancer diagnosis via CT scans, and radiation therapy optimization. His lab emphasizes parameter-efficient neural networks and longitudinal data analysis.

Publications: Over 150+ articles, including seminal work on lung nodule classification and 4D flow MRI. Recent efforts focus on Siamese networks, graph neural networks, and physics-informed models.

Awards: UMASS Distinguished Alumni Award (2020), IEEE Fellow (2007), and multiple fellowships from AIME, SPIE, AIAA, and IAMBE.

Labs/Teams: Leads a multidisciplinary team at the University of Louisville, collaborating with radiologists and biomedical engineers to advance AI in medical imaging. Active in developing open-source tools for lung nodule analysis.