Dr. Bennett A. Landman is a biomedical engineer and a Professor of Electrical Engineering, Computer Engineering, and Computer Science at Vanderbilt University. Dr. Landman’s research interests focus on medical image processing, including multi-atlas labeling and intra-voxel tissue modeling. Specifically, his work emphasizes optimizing acquisition and analysis of diffusion tensor imaging (DTI) and defining community standards for multi-site DTI protocols for Alzheimer’s disease studies. Dr. Landman is an investigator with the Vanderbilt Memory and Aging Project, he is the Biomarker Core Co-Leader for the Vanderbilt Alzheimer’s Disease Research Center, and he is a member of the training faculty for the Vanderbilt Interdisciplinary Training Program in Alzheimer’s Disease (T32).
Dr. Landman completed a master’s degree in electrical engineering and computer science at Massachusetts Institute of Technology and a doctoral degree in biomedical engineering at Johns Hopkins University. He joined the Vanderbilt faculty in 2009.