Keivan Sabet

Keivan Sabet

Position
  • PhD Student
Keivan Sabet is a Ph.D. student in the Department of Computer Science at Iowa State University. His primary research interests revolve around Data Science, particularly within the medical and biological domains. His previous work on detecting abnormalities in medical images has been recognized with a Best Student Paper Award.

Area of Expertise

  • Computer Vision
  • Machine Learning
  • Data Science

Education

  • A.S. Emphasis in Mathematics, Western Iowa Tech Community College, 2009
  • B.S. Computer Science, University of Nebraska at Omaha, 2016
  • ABT. Computer Science, University of Nebraska at Omaha 2021

Publications

P. Chundi, M. Subramaniam, K. Sabet and E. Margalit, "Analyzing Retinal Optical Coherence Tomography Images Using Differential Spatial Pyramid Matching," 2016 IEEE 16th International Conference on Bioinformatics and Bioengineering (BIBE), Taichung, Taiwan, 2016, pp. 316-323, doi: 10.1109/BIBE.2016.67.