Arie Kaufman

 

Arie Kaufman, PhD     

Arie Kaufman, PhD, Distinguished Professor

Department of Computer Science
Director, Center of Visual Computing; Chief Scientist, CEWIT
203G New Computer Science
Stony Brook, NY 11794
Phone: (631) 632-8441
Email: ari@cs.sunysb.edu

INTERESTS

Visualization, volume graphics, virtual reality, GPU computing, medical imaging, virtual colonoscopy, and immersive analytics.
 
BIOGRAPHY
 
Dr. Arie Kaufman received his BS in Mathematics and Physics from the Hebrew University of Jerusalem, his MS in Computer Science from the Weizmann Institute of Science, and his PhD in Computer Science from Ben-Gurion University. He joined Stony Brook University in 1985 and served as Chair of the Department of Computer Science for many years beginning in 1999. He is a Distinguished Professor of Computer Science and Radiology, Director of the Center of Visual Computing, and Chief Scientist of the Center of Excellence in Wireless and Information Technology (CEWIT). Dr. Kaufman is a Fellow of the IEEE, the ACM, and the National Academy of Inventors, a recipient of the IEEE Visualization Career Award, a member of the IEEE Visualization Academy, and the founding Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics.
 
RESEARCH
 
Dr. Kaufman has conducted research for over four decades in visualization, volume graphics, virtual reality, user interfaces, and multimedia, with an emphasis on biomedical applications. He pioneered the field of volume visualization, developed foundational voxel-based graphics algorithms and architectures, and led the development of 3D virtual colonoscopy technology, which has been widely licensed and translated toward clinical use. His recent work includes GPU-based computation, immersive virtual reality environments, and deep learning methods for medical imaging, including collaborations with the Departments of Biomedical Informatics and Radiology. He holds more than 40 patents and has published over 300 refereed papers, books, and book chapters.
 
SELECTED PUBLICATIONS

Full list: ORCID   

  1. Arie Kaufman, Daniel C. Cohen, Roni Yagel. Volume graphics. Computer, 26(7):51-64, 1993.
  2. Zhe Fan, Feng Qiu, Arie Kaufman, S. Yoakum-Stover. GPU Cluster for High Performance Computing. , 2005.
  3. Ingmar Bitter, Arie Kaufman, Mie Sato. Penalized-distance volumetric skeleton algorithm. IEEE Transactions on Visualization and Computer Graphics, 7(3):195-206, 2001.
  4. Dani Or, Arie Kaufman. Fundamentals of Surface Voxelization. Graphical Models and Image Processing, 57(6):453-461, 1995.
  5. Qi Sun, Anjul Patney, Li‐Yi Wei, Omer Shapira, Jingwan Lu, Paul Asente, Suwen Zhu, Morgan McGuire, Arie Kaufman, et al. Towards virtual reality infinite walking. ACM Transactions on Graphics, 37(4):1-13, 2018.
  6. Wei Li, Xiaoming Wei, Arie Kaufman. Implementing lattice Boltzmann computation on graphics hardware. The Visual Computer, 19(7-8):444-456, 2003.
  7. Ming Wan, Zhengrong Liang, Qi Ke, Lichan Hong, Ingmar Bitter, Arie Kaufman. Automatic centerline extraction for virtual colonoscopy. IEEE Transactions on Medical Imaging, 21(12):1450-1460, 2002.
  8. Lichan Hong, Arie Kaufman, Yi-Chih Wei, A. Viswambharan, Mark R. Wax, Zhengrong Liang. 3D virtual colonoscopy. , 2002.
  9. Roni Yagel, Daniel C. Cohen, Arie Kaufman. Discrete ray tracing. IEEE Computer Graphics and Applications, 12(5):19-28, 1992.
  10. Arie Kaufman, Reuven Bakalash. Memory and processing architecture for 3D voxel-based imagery. IEEE Computer Graphics and Applications, 8(6):10-23, 1988.
  11. Parmida Ghahremani, Yanyun Li, Arie Kaufman, R. Vanguri, Noah F. Greenwald, Michael Angelo, Travis J. Hollmann, Saad Nadeem. Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification. Nature Machine Intelligence, 4(4):401-412, 2022.
  12. Mie Sato, Ingmar Bitter, Michael A. Bender, Arie Kaufman, M. Nakajima. TEASAR: tree-structure extraction algorithm for accurate and robust skeletons. , 2002.
  13. Sidney W. Wang, Arie Kaufman. Volume sculpting. , 1995.