Bennett Landman, Ph.D.
Department of Electrical Engineering (primary)
Department of Biomedical Engineering
Department of Radiology and Radiological Sciences
Vanderbilt University Institute of Image Science
Vanderbilt University, School of Engineering
Bennett A. Landman, Ph.D. is currently an Associate Professor of Electrical Engineering at Vanderbilt University, with secondary appointments in Computer Science, Biomedical Engineering, Radiology and Radiological Sciences, and Psychiatry and Behavioral Sciences. He graduated with a bachelor of science (’01) and master of engineering (’02) in electrical engineering and computer science from the Massachusetts Institute of Technology, Cambridge, MA. After graduation, he worked in an image processing startup company and a private medical imaging research firm before returning for a doctorate in biomedical engineering (‘08) from Johns Hopkins University School of Medicine, Baltimore, MD. Since 2010, he has been with the Faculty of the Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN, where he is currently an associate professor. His research concentrates on applying image-processing technologies to leverage large-scale imaging studies to improve understanding of individual anatomy and personalize medicine.
Dr. Landman has received grant funding from the National Institutes of Health, the National Science Foundation, the Department of Defense, Incyte Corporation, and 12 Sigma Technologies. He is author of over 110 journal publications and has been cited over 4,300 times. He is an active member of SPIE, IEEE, the Society for Imaging Informatics in Medicine (SIIM), and the International Society of Magnetic Resonance in Medicine (ISMRM). He is co-chair of the SPIE Medical Imaging Image Processing conference, on the editorial boards of the IEEE Transactions of Medical Imaging and SIIM Journal of Digital Imaging. He serves as the director of ImageVU, Vanderbilt’s clinical data reuse initiative in Radiology, director of the Center for Computational Imaging at the Vanderbilt University Institute of Image Science, and chair of the faculty advisory board of the Vanderbilt University Advanced Computing Center for Research and Education (ACCRE).
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Ph.D. 2008 Biomedical Engineering
Johns Hopkins University School of Medicine, Baltimore, MD
Thesis: Diffusion Imaging of the In Vivo Spinal Cord and Cerebellum
Advised by Jerry Prince and Susumu Mori. Image Analysis and Communications Laboratory.
M.Eng. 2002 Electrical Engineering and Computer Science
Massachusetts Institute of Technology, Cambridge, MA
Thesis: Broadband Nanosensing using Heterodyne Interferometry.
Advised by Dennis Freeman. Research Laboratory for Electronics.