Amitabh Varshney

Professor and Director
2119 A.V. Williams Building
(301) 405-6722
(301)405-6707
Education: 
Ph.D. University of North Carolina at Chapel Hill (Computer Science)
Special Awards/Honors: 
NSF Career Award, IEEE Fellow
Biography: 

Amitabh Varshney is the Director of the Institute for Advanced Computer Studies (UMIACS) and Professor of Computer Science at the University of Maryland at College Park. He received a B. Tech. in Computer Science from the Indian Institute of Technology, Delhi in 1989 and a M.S. and Ph.D. in Computer Science from the University of North Carolina at Chapel Hill in 1991 and 1994. Varshney received a NSF CAREER Award in 1995 and the IEEE Visualization Technical Achievement Award in 2004. He was elected as a Fellow of the IEEE in 2010. He is currently the Director of the NVIDIA CUDA Center of Excellence at Maryland and serves as the Chair of the IEEE Visualization and Graphics Technical Committee.

Varshney's research focus is on exploring the applications of graphics and visualization in engineering, science, and medicine through advances in geometry processing, illumination models, perceptual rendering, and high-performance visual computing. His research results are being used in a variety of application domains such as therapeutic drug design, climate modeling, plasma physics, nano manufacturing, medical imaging, and gene sequencing. He has worked on the design and implementation of virtual walkthroughs of proposed structures, such as buildings, automobiles, and submarines. Varshney’s research in molecular graphics has involved devising new algorithms for parallel and analytical computation and visualization of molecular surfaces, their interfaces, and electrostatics. He has also contributed towards development of new algorithms for a number of research areas in graphics and visualization including visual saliency, summarization of large visual datasets, automatically generating multiresolution hierarchies, procedural textures, and rendering with points, images, meshes, and volumes. He is currently exploring several applications in general-purpose high-performance parallel computing using clusters of CPUs and Graphics Processing Units (GPUs). He has consulted and collaborated with NVIDIA, Honda, IBM, Daimler Chrysler, General Dynamics, and Reuters.

Publications

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