Justin Haldar has joined the Ming Hsieh Department of Electrical Engineering as assistant professor beginning the Fall semester of 2012. He received the B.S. in 2004, the M.S. in 2005, and the Ph.D. in 2011, from the University of Illinois Urbana-Champaign (UIUC), all in electrical engineering. He first joined USC as a postdoctoral research associate in July 2011, and subsequently was appointed research assistant professor in January 2012.
Prof. Haldar's research is in magnetic resonance (MR) neuroimaging technology, with many applications to basic and clinical studies in neuroscience. His current and future work has enormous potential for improving MR image resolution, overcoming the effects of sparse signal measurements and noise, and greatly reducing the computation time that limits the applicability of these techniques. He makes use of improved models of the physical imaging process, novel constrained optimization and signal estimation methods, and parallel hardware implementation in his research. These results are applicable to a broad range of neuroscience problems, including basic understanding of metabolic, physiological and dynamic processes.
His interests and signal processing background are relevant to several emerging interdisciplinary research themes, including: neuroscience; brain science; medical imaging, human-centered signal processing, big data, and sparse signal processing. He is the author or co-author of more than 85 publications, including book chapters, journals and conference papers, all appearing in the most selective and prestigious venues in his field. He has also given several invited talks and has won several best paper awards.