Bennett Landman, Ph.D.
Professor, Department Chair
Fellow of the SPIE.
Department of Electrical and Computer Engineering (primary)
Department of Computer Science
Department of Biomedical Engineering
Department of Radiology and Radiological Sciences
Department of Psychiatry and Behavioral Sciences
Department of Biomedical Informatics
Department of Neurology
Vanderbilt University Institute of Image Science
Vanderbilt Brain Institute
Vanderbilt Kennedy Center
Vanderbilt University, School of Engineering
Bennett A. Landman, Ph.D. is Professor and Department Chair of Electrical and Computer Engineering at Vanderbilt University, with appointments in Computer Science, Biomedical Engineering, Radiology and Radiological Sciences, Psychiatry and Behavioral Sciences, Biomedical Informatics, and Neurology. 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. From 2010 to 2021, Landman severed on the Faculty of the Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN. In July 2021, he joined and became the first chair of the newly formed Electrical and Computer Engineering Department and was elected as Fellow of the SPIE. 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, and industry support. He is highly collaborative with 340+ co-authors across disciplines, career stages, and institutions, resulting in 428+ peer-reviewed publications and 12,800+ citations. He served on the MICCAI Society Challenge Working Group, as co-chair of the SPIE Medical Imaging Image Processing conference (2017-2021), as co-chair of the SIIM Machine Learning Tools Committee (2018-2021), and on the editorial boards of the IEEE Transactions of Medical Imaging (2015-) and SIIM Journal of Digital Imaging. He has organized 11 workshops and challenges at MICCAI since 2011 and has supported challenges with SPIE, ISBI, ISMRM, and Kaggle. He serves as Satellite Chair of MICCAI 2023 and co-General Chair of MIDL 2023, He served founding director of the Center for Computational Imaging at the Vanderbilt University Institute of Image Science and as chair of the faculty advisory board of the Vanderbilt University Advanced Computing Center for Research and Education (ACCRE). He is currently the Principal Scientist of ImageVU, Vanderbilt’s clinical data reuse initiative in Radiology.
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Office: 255 Featheringill / Jacobs Hall
Phone: (615) 322-2338 FAX: (615) 343-5459
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.