Photo of Veeraraghavan

WEBSITE(S)| Data Science | Neuroengineering | Systems | Personal Website

Education: 

2002 B.Tech. Electrical Engineering, IIT – Madras
2004 M.S. Electrical and Computer Engineering, University of Maryland
2008 Ph.D. Electrical and Computer Engineering, University of Maryland


Research Summary: 

Computational imaging, compressive sensing for imaging, signal processing and computer vision.


Bio: 

Dr. Veeraraghavan is an Associate Professor of Electrical and Computer Engineering Department at Rice University. He received his B.Tech. in electrical engineering from Indian Institute of Technology, Madras in 2002, and his master's and Ph.D. from the Department of Electrical and Computer Engineering at the University of Maryland, College Park in 2004 and 2008, respectively. Ashok joined the ECE Department in 2010. He was promoted to Associate Professor in 2017.

 

Veeraraghavan is co-developer of FlatCam, a thin sensor chip with a mask that replaces lenses in a traditional camera. Making it practical are the sophisticated computer algorithms that process what the sensor detects and converts the sensor measurements into images and videos. FlatCams may find use in security or disaster-relief applications and as flexible, foldable, wearable cameras, and even disposable cameras.

 

 

The same team has also developed FlatScope, a flat microscope and software system that can decode and trigger neurons on the surface of the brain. The project is part of a $65 million effort by the federal Defense Advanced Research Projects Agency (DARPA) to develop a high-resolution neural interface. Among many long-term goals, the Neural Engineering System Design (NESD) program hopes to compensate for a person's loss of vision or hearing by delivering digital information directly to parts of the brain that can process it. The Rice ECE team, in collaboration with Yale University, will receive $4 million over four years to develop the optical hardware and its software interface.

 


Selected Awards and Honors: 

2017: NSF CAREER Award
2017: Hershel M. Rich Invention Award
2009: Co-Recipient, MERL Presidents Award


Selected Publications: 

Google Scholar