Carnegie Mellon University

Aswin Sankaranarayanan

Aswin Sankaranarayanan

Associate Professor, Electrical and Computer Engineering

Address 5000 Forbes Avenue
Pittsburgh, PA 15213


My research deals with understanding the interaction of light with materials, devising theories and imaging architectures to capture these interactions, and finally developing a deeper understanding of the world around us based on these interactions. While these interactions involve very high-dimensional signals, there are underlying structures that enable them to be modeled parsimoniously using low-dimensional models. My research identifies low-dimensional models for high-dimensional visual signals using both physics-based and learning-based formulates, and develop imaging architectures and algorithms that exploit these low-dimensional models for efficient sensing and inference.



  • Role of signal models in breaking traditional sensing and processing limitations
  • Co-design of optics/imaging and processing for novel sensor design
  • Use of non-linear signal models for efficient sensing and processing of high-dimensional data
  • Compressed sensing and image processing
  • Big data
  • Computer vision
  • Electro-optics
  • Sensors
  • Signal processing

Related news

Thursday, June 20, 2019

Sankaranarayanan and co-authors win best paper at CVPR

ECE Associate Professor Aswin Sankaranarayanan and co-authors have received the Best Paper Award at the 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Monday, January 28, 2019

3D displays that "accommodate" the human eye

Researchers at Carnegie Mellon University have engineered a new technology to enable natural accommodation cues in 3D displays.
Wednesday, April 04, 2018

The 2018 CIT Dean's Early Career Fellows

Grover, Péraire, Sankaranarayanan, and Yağan are among the eight engineering faculty to received this award for their outstanding contributions to the university.
Wednesday, February 28, 2018

Researchers develop camera to see through skin

Carnegie Mellon University is part of a five-year, $10 million program sponsored by the National Science Foundation to develop a new type of camera that peers deep beneath the skin to help diagnose and monitor a wide variety of health conditions.
Friday, February 24, 2017

Sankaranarayanan receives NSF CAREER grant to study light interactions

Sankaranarayanan will receive a $532,000 grant to study how light interacts with materials using light rays and their transformations.
Thursday, March 31, 2016

Tsai receives Google Ph.D. Fellowship

Chia-Yin Tsai, an electrical and computer engineering Ph.D. student, received a 2016 Google Fellowship for Machine Perception, Speech Technology and Computer Vision. Google created the Ph.D. Fellowship program in 2009 to recognize and support outstanding graduate students doing exceptional research in Computer Science and related disciplines. Tsai is one of 39 recipients from North America, Europe, and the Middle East.