- Assistant Professor of Electrical and Computer Engineering
- Professor: The University of Arizona, College of Optical Sciences, 2023-present
- Professor: The University of Arizona, Department of Electrical and Computer Engineering, 2012-2023
- Assistant Professor: The University of Arizona, Department of Electrical and Computer Engineering, 2023-present
- Assistant Professor: The University of Arizona, College of Optical Sciences, 2011-2023
- 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.
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