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Prof. Ramesh Raskar

Associate Professor of Media Arts and Sciences
Head, Camera Culture Group
Co-Director, Center for Future Storytelling

Primary DLC

MIT Media Lab

MIT Room: E14-474G
(617) 253-0329
https://web-media-mit-edu.ezproxyberklee.flo.org/~raskar/

Areas of Interest and Expertise

Computational Imaging and Photography
Health Tech
Computational Health
Femto-Photography
Automated Machine Learning
Private Machine Learning
Computer Vision, Augmented Reality
3D Displays
Tech for Development
HCI
Visual Social Computing (ViSoCo)

Research Summary

Ramesh Raskar is an Associate Professor at MIT Media Lab and directs the Camera Culture research group. His focus is on AI and Imaging for health and sustainability. They span research in physical (e.g., sensors, health-tech), digital (e.g., automated and privacy-aware machine learning) and global (e.g., geomaps, autonomous mobility) domains. He received the Lemelson Award (2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009), TR100 Award from MIT Technology Review (2004) and Global Indus Technovator Award (2003). He has worked on special research projects at Google [X] and Facebook and co-founded/advised several companies.

The Camera Culture group focuses on making the invisible visible -- inside our bodies, around us, and beyond -- for health, work, and connection. The goal is to create an entirely new class of computational and sensory platforms that have an understanding of the world that far exceeds human ability and produce meaningful abstractions that are well within human comprehensibility.

The group conducts multi-disciplinary research in physical (e.g., sensors, health-tech), digital (e.g., automating machine learning) and global (e.g., geomaps, autonomous mobility) domains. Recent projects include cameras to see around corners beyond the line of sight, health diagnostics devices that are being used in 90+ countries, and distributed computing for population health via automated and privacy-aware machine learning.

Recent Work

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