Ramesh Raskar, Associate Professor, MIT Media Lab

Ramesh Raskar joined the Media Lab from Mitsubishi Electric Research Laboratories in 2008 as head of the Lab’s Camera Culture research group. His research interests span the fields of computational photography, inverse problems in imaging and human-computer interaction.
Recent projects and inventions include transient imaging to look around a corner, a next generation CAT-Scan machine, imperceptible markers for motion capture (Prakash), long distance barcodes (Bokode), touch+hover 3D interaction displays (BiDi screen), low-cost eye care devices (Netra,Catra), new theoretical models to augment light fields (ALF) to represent wave phenomena and algebraic rank constraints for 3D displays(HR3D).

In 2004, Raskar received the TR100 Award from Technology Review, which recognizes top young innovators under the age of 35, and in 2003, the Global Indus Technovator Award, instituted at MIT to recognize the top 20 Indian technology innovators worldwide. In 2009, he was awarded a Sloan Research Fellowship. In 2010, he received the Darpa Young Faculty award. Other awards include Marr Prize honorable mention 2009, LAUNCH Health Innovation Award, presented by NASA, USAID, US State Dept and NIKE, 2010, Vodafone Wireless Innovation Project Award (first place), 2011. He holds over 40 US patents and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on Computational Photography. [Personal webpage http://raskar.info]


Anshuman Das
Health Diagnostics, Optical Imaging, Materials and Spectroscopy
Anshuman Das is a postdoctoral associate in the Camera Culture Group at the MIT Media Lab and the MIT Tata Center for Technology and Design. Anshuman is interested in creating rapid diagnostics that are smart, predictive, and accessible and will improve the way diagnostics are carried out. Within the health diagnostics field he is exploring intersections with health diagnostics and optics, lasers, UV-VIS and Infrared spectroscopy. He is also interested in super-resolution optical imaging and soft matter based optical elements. He is currently working on smartphone bases skin imaging, electrical and optical sensing of infections, wide-angle endoscopy and designing smart otoscopes. Before coming to MIT Anshuman received his Ph.D. from JNCASR in India where he researched on light management, degradation, and electrode design in organic solar cells.
Barmak Heshmat
Research Scientist
Novel imaging modalities, optical materials, photonic devices
I am a researcher and a futurist. I work on exotic electrical and optical materials, devices, and systems.Today, we have a limited lifespan filled with fatigue, stress, and diseases, even at our best we are limited in our sensory and presence. Through science I see a vision that motivates me to change that.
Karin Roesch
Research Scientist
Biomedical Sciences, Health Diagnostics, Entrepreneurship


Achuta Kadambi
Graduate Student
Computer Vision, Computational Imaging, Light Transport
Born in California, studied at Cal, now combining signals, sensors, and physics to change the way we interact with light.
Otkrist Gupta
Graduate Student
Computer Vision, Computational Photography
I am interested in use of machine learning and computer vision for health and wellbeing. I also work on inverse problems using novel imaging sensors.
Guy Satat
Graduate Student
Computational imaging, Remote sensing, Computer vision
I earned a B.Sc. in Electrical Engineering and a B.Sc. in Physics, both cum laude, from the Technion Israel. Now developing technologies for non-invasive, low cost and predictive health diagnostics.
Ayush Bhandari
Graduate Student
Inverse Problems, Computational Imaging, Harmonic Analysis
I prepare mathematical models of novel imaging technology with Ramesh Raskar. One part of my work deals with inverse problems in Time-of-Flight (or ToF) imaging.
Nikhil Naik
Graduate Student
Computer Vision, Urban Computing, Computational Imaging
My goal is to develop technology that makes invisible visible from the physical world around us, especially cities.
Tristan Swedish
Graduate Student
Biomedical Imaging, Health Diagnostics, Optical Transport
Hands-on Physicist that likes to build things that harness light. I'm excited about new interactive health care paradigms made possible by computation and modern photonics.
Mrinal Mohit
Graduate Student
Computer Vision, Machine Learning, Robotics
Mrinal is passionate about redefining the limits of automated machines, systems and algorithms, especially in perception, interaction and health.

Research Staff

Gaurav Bhatia
Technical Assistant
Hardware Designing and Programming, Computer Vision and Ultra-fast Imaging
Greg Yauney
Technical Assistant
Computational photography, Machine learning
Keith Angelino
Technical Assistant
Novel percutaneous neural interfaces, clinical technologies, prototyping

Visiting Researchers



Post-docs, Scientists, and Staff:

PhD and Masters Students:

  • Shantanu Sinha, MS 2016, now at Meta
  • Hisham Bedri, MS 2015
  • Hang Zhao, MS 2015
  • Amy Canham, MS 2014, now at Startup
  • Hayato Ikoma, MS 2014, now at ENS, France
  • Chunglin Wen, MS 2014, now at Google
  • Aydin Arpa, MS 2013, now at Startup
  • Kshitij Marwah, MS 2013, now at Startup
  • Roarke Horstmeyer, MS 2011, now at Caltech
  • Rohit Pandharkar, MS 2011, now at Mahindra & Mahindra
  • Kevin Chiu, M.S. 2011,  now at Startup
  • Jaewon Kim, M.S. 2010, now at KAIST, South Korea
  • Ahmed Kirmani, M.S. 2010, now at 3Dim