Justin Haldar

Justin Haldar is a Professor in the Ming Hsieh Department of Electrical and Computer Engineering at the University of Southern California (USC), where he serves as Director of the Signal and Image Processing Institute and Co-Director of the Biomedical Imaging Group. He holds a joint appointment in the Department of Biomedical Engineering and maintains affiliations with the Dornsife Cognitive Neuroscience Imaging Center, Brain and Creativity Institute, and Dynamic Imaging Science Center.

His research focuses on computational imaging and inverse problems, with particular emphasis on developing novel data acquisition and signal processing methods for magnetic resonance imaging (MRI). Haldar's work addresses critical limitations in MRI technology including long acquisition times, limited signal-to-noise ratio, and high costs, developing approaches that combine physical imaging process modeling, constrained signal models, theoretical frameworks, and fast computational algorithms.

Haldar's publication record demonstrates consistent innovation in MRI technology, with research spanning from fundamental reconstruction algorithms to practical clinical applications. His work shows a clear progression from theoretical advances in spatiotemporal imaging to real-world implementations that accelerate MRI exams and enable previously impractical next-generation imaging techniques. The breadth of his research connects electrical engineering principles with biomedical applications, particularly in neuroscience and medical diagnostics.

• NSF CAREER Award recipient
• IEEE ISBI Best Paper Award winner
• IEEE EMBC First-Place Student Paper Award recipient
• Current Chair of IEEE Signal Processing Society's Technical Committee on Computational Imaging
• Deputy Editor-in-Chief for IEEE Transactions on Computational Imaging
• Associate Editor for IEEE Transactions on Medical Imaging

Haldar maintains active mentorship and collaboration through his leadership of the Biomedical Imaging Group and Signal and Image Processing Institute. His editorial roles in major imaging journals demonstrate significant influence in the field. He has secured substantial research funding including NSF grants that support his innovative work in computational imaging.

Haldar's laboratory focuses on developing next-generation MRI techniques that leverage the 'blessings of dimensionality' while mitigating associated challenges, with particular emphasis on jointly designing data acquisition and reconstruction methods to exploit inherent structure within high-dimensional data.