Amit Ashok

Amit Ashok

Associate Professor of Optical Sciences
Amit Ashok Headshot

Meinel 421
Wyant College of Optical Sciences
The University of Arizona
1630 E. University Blvd.
P.O. Box 210094
Tucson, AZ 85721-0094

Additional Affiliations

  • Assistant Professor of Electrical and Computer Engineering


  • Assistant Professor: The University of Arizona, Department of Electrical and Computer Engineering, 2012-present
  • Assistant Professor: The University of Arizona, College of Optical Sciences, 2011-present
  • Senior Research Scientist: The University of Arizona, Optical Computing and Processing Lab, 2009-2011
  • Graduate Research Assistant: The University of Arizona, Department of Electrical and Computer Engineering, 2002-2007
  • Senior Scientist: OmniVision CDM Optics Inc., 2007-2009
  • Graduate Research Assistant: University of Cape Town (South Africa), Department of Electrical Engineering, 2000-2001

Professional Affiliations and Activities

  • IEEE: Member
  • The Optical Society (OSA): Senior Member
    OSA: Conference on Computational Optical Sensing and Imaging, Program Chair
  • SPIE: 2019 Senior Member

Awards and Honors

  • SPIE: Three-Dimensional Imaging, Visualization and Display II, Best Paper Award, 2010
  • University of Capetown (South Africa): International Student Scholarship, 1999 and 2000
  • University of Swaziland: Dean's Award for Best Academic Performance, 1998
  • University of Swaziland: Vice-Chancellor Award for Best Academic Performance, 1998
  • University of Swaziland: Sino-Swazi Award for Best Academic Performance, 1995

Specific Research Interests

  • Inverse problems.
  • Bayesian inference.
  • Information theory.
  • Statistical signal processing.
  • Image processing.
  • Machine learning.
  • Computational imaging.
  • Compressive imaging.
  • Optical engineering.
  • High-dimensional imaging.
  • Physical optics.

Research Summary

The Intelligent Imaging and Sensing Lab, under the direction of Amit Ashok, is engaged in conducting cutting-edge research to develop the next generation of optical imagers and sensors via the new paradigm of computational sensing. The computational sensing approach exploits knowledge about information-bearing signals and task-application to realize novel optical imager and sensor designs employing reconfigurable-unconventional optics and sophisticated image processing algorithms to achieve revolutionary performance. This multidisciplinary research draws from varied disciples such as physical optics, optical engineering, statistical optics, signal-image processing, machine learning, statistical inference and computer science. Students in the lab get the opportunity to gain hands-on experience with tabletop optical imaging experiments as well as develop advanced image processing algorithms for CPU-GPU based parallel architectures on the lab's computer cluster capable of six teraflops.


  • Ph.D., The University of Arizona, 2008
  • M.S., University of Cape Town (South Africa)
  • 2001 B.Sc., University of Swaziland, 1998