Ramesh Raskar

Ramesh Raskar
Ramesh Raskar at TED Conferences.
Born	1970 Nashik, Maharashtra, India
Residence	Cambridge, Massachusetts
Citizenship	American
Fields	Computer scientist
Institutions	Massachusetts Institute of Technology
Alma mater	University of North Carolina at Chapel Hill Government College of Engineering, University of Pune
Doctoral advisor	Henry Fuchs
Known for	Shader lamps, Femto-photography, CORNAR, Computational photography, HR3D, EyeNetra
Notable awards	TR100, Lemelson–MIT Prize

Ramesh Raskar is a Massachusetts Institute of Technology Associate Professor and head of the MIT Media Lab's Camera Culture research group. He holds over seventy-five patents. He received the $500K Lemelson–MIT Prize in 2016. The prize money will be used for launching REDX.io, a group platform for co-innovation.

Prof. Ramesh Raskar recently held a Reddit AMA (Ask me Anything).

Ramesh Raskar was born in Nashik, India and he finished his engineering education from College of Engineering, Pune. He finished his PhD at UNC Chapel Hill.

Raskar joined MIT Media Lab in 2007. Raskar, together with others developed a computational display technology that allows observers with refractive errors, cataracts and some other eye disorders to perceive a focused image on a screen without wearing refraction-corrective spectacles. The technology uses a light field display in combination with customized filtering algorithms that pre-distort the presented content for the observer.

His lab produced a number of extreme highspeed pictures using a femto-camera that took images at around one-trillion frames per second. They have also developed a camera to see around corners using bursts of laser light.

Juliett Fiss has covered his role as the catalyst behind the Siggraph NEXT program at Siggraph 2015 in Los Angeles.

Raskar has presented a series of talks and workshops on innovation processes.

They include his Idea Hexagon, How to give an engaging talk, How to prepare for a thesis, How to write a paper and the Spot-Probe method for problem-solution identification.

Key ideas from his interview with Lemelson Foundation are as follows.