Ross T. Whitaker
Ross Whitaker graduated Summa Cum Laude with a B.S. degree in Electrical Engineering and Computer Science from Princeton University in 1986. From 1986 to 1988, he worked for the Boston Consulting Group, entering the University of North Carolina (UNC) at Chapel Hill in 1989. At UNC, he received the Alumni Scholarship Award, and completed his Ph.D. in Computer Science in 1994. From 1994-1996, he worked at the European Computer-Industry Research Centre in Munich Germany as a research scientist in the User Interaction and Visualization Group. From 1996-2000, he was an Assistant Professor in the Department of Electrical Engineering at the University of Tennessee and received an NSF Career Award. Since 2000, he has been at the University of Utah where he is the Director of the School of Computing and a faculty member of the Scientific Computing and Imaging (SCI) Institute. He was named IEEE Fellow in 2014 "for contributions to image and geometry processing, visualization, and medical image analysis". He was also named AIMBE Fellow in 2017 "for novel algorithms and software to advance the state of the art in medical image analysis". He leads graduate-level research groups in image analysis, geometry processing, and scientific computing, with a variety of projects supported by both federal agencies and industrial contracts.
Guido Gerig
Guido Gerig is Department Chair and Institute Professor at the NYU Tandon School of Engineering in the Department of Computer Science and Engineering. He also holds associated/affiliated appointments at NYU Courant CS, NYU Langone Child and Adolescent Psychiatry, Psychiatry and Radiology. Guido Gerig has been appointed as a Fellow of the American Institute for Medical and Biological Engineering (AIMBE) in 2010. Starting image analysis with applications to satellite imaging, he became increasingly interested in driving problems from medicine, tackled in close multidisciplinary collaboration between medicine, engineering, and statistics. His research supports a number of clinical imaging research studies with novel, innovative image analysis methodologies related to segmentation, registration, atlas building, shape analysis, and image statistics. Driving clinical problems include research in schizophrenia, autism, multiple sclerosis, Huntington's disease, studies of infants at risk for mental illness, and in general analysis of anatomical changes due to disease, therapy and recovery. Gerig's research resulted in various new image analysis methodologies for nonlinear processing, multi-scale segmentation and shape analysis, some of them first and seminal to the field. Applications resulted in new clinical research discoveries such as vulnerability for schizophrenia, differences in brain development in infants with autism, and correlation of shape atrophy with risk status in Huntington's. New tools and methods are developed as open source software and made available to the public, including teaching materials and hands-on training workshops. Guido Gerig was previously USTAR Professor of Computer Science at the University of Utah (2007-2015) establishing the Utah Center for Neuroimage Analysis (UCNIA), Taylor Grandy Professor of Computer Science and Psychiatry at the University of North Carolina at Chapel Hill (1998-2007) launching the UNC Neuro Image Research and Analysis Laboratories (NIRAL), and Assistant Professor at ETH Zurich (1993-1998). Gerig holds several awards from Utah and UNC for Excellence in Teaching.
C. Kesavdas
C. Kesavdas is a Professor and Head of Imaging Sciences and Interventional Radiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum. He holds a M.D. in Radiodiagnosis from University of Kerala. He is the recepient of various awards and fellowships, including BOYCAST Fellowship in Neuroradiology, Department of Neuroradiology, Scientific Institute and University Hospital San Raffaele, Italy (2002), Biotechnology Overseas Associateship in 2008 for research in EEG correlated Functional MRI at the Institute of Neurology, University College, London, National Bioscience Award in 2009 awarded by the Department of Biotechnology, Govt. of India for the work in Functional Neuroimaging, Dr. Anibhav Goel Gold Medal in 2012, Dr. Ashoke Mukharjee Memmorial Award (Gold Medal) in 2006. His research interests include magnetic resonance imaging (including MR spectroscopy, diffusion/perfusion imaging, susceptibility weighted imaging and functional MRI), functional near infra-red spectroscopy, neuroradiology (especially neuroimaging in epilepsy, brain tumors, pediatric neuroradiology, movement disorders, dementia and stroke), medical imaging informatics, and brain-computer interfaces.
