Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on machine learning and imaging for health and sustainability. The group’s interests span research in physical and digital areas, and privacy-aware machine learning and global domains.
At MIT, his co-inventions include a camera to see around corners, femto-photography, automated machine learning (auto-ML), private ML, low-cost eye care devices (Netra,Catra, EyeSelfie), a novel CAT-Scan machine, motion capture (Prakash), long distance barcodes (Bokode), 3D interaction displays (BiDi screen), new theoretical models to augment light fields (ALF) to represent wave phenomena and algebraic rank constraints for 3D displays (HR3D). He holds over ninety US patents.
He has received numerous awards his work has appeared in New York Times, CNN, BBC, New Scientist, Technology Review and and elsewhere. His invited and keynote talks include TED, Wired, TEDMED, Darpa Wait What, MIT Technology Review, Google SolveForX and several TEDx venues.
His co-authored books include Spatial Augmented Reality, Computational Photography and 3D Imaging.
He has worked on special research projects at Google, X, Facebook, Apple and co-founded/advised several startups. He launched REDX.io, a platform for young innovators to explore AI-for-Impact. He frequently consults for dynamic organisations to conduct 'SpotProbing' exercises to spot new opportunities and probe solutions.