Ramesh Raskar
Ramesh Raskar is an associate professor at the MIT Media Lab, where he directs the Camera Culture research group and NANDA@MIT, a project on infrastructure for AI agents. He finished his PhD at UNC Chapel Hill in 2002, after studying engineering at the College of Engineering in Pune. In 2008 he joined the MIT Media Lab from Mitsubishi Electric Research Laboratories to lead the Camera Culture group, where his research spans computational photography and inverse problems in imaging. He received the TR100 Award from MIT Technology Review in 2004, the Lemelson-MIT Prize in 2016, and the ACM SIGGRAPH Achievement Award in 2017. In February 2020 his team launched Private Kit: SafePaths, a public health tool for contact tracing during the COVID-19 pandemic.
- Works
- 660
- Citations
- 35,195
- h-index
- 83
Publication numbers from OpenAlex, as of 15 October 2026.
Timeline
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2002
A PhD at UNC Chapel Hill
He finishes his PhD at UNC Chapel Hill in 2002, after studying engineering at the College of Engineering in Pune.
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2004
The TR100 Award
He receives the TR100 Award from MIT Technology Review in 2004.
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2008
Head of Camera Culture
He joins the MIT Media Lab from Mitsubishi Electric Research Laboratories in 2008, as head of its Camera Culture research group. His research interests span computational photography, inverse problems in imaging, and human-computer interaction.
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2009
A Sloan Research Fellowship
He receives a Sloan Research Fellowship in 2009.
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2016
A Lemelson-MIT Prize
In 2016 he wins the Lemelson-MIT Prize for his inventions and commitment to youth mentorship.
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2017
An ACM SIGGRAPH award
He is recognized with the ACM SIGGRAPH Achievement Award in 2017.
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February 2020
Private Kit: SafePaths
In February 2020 his team launches Private Kit: SafePaths, a public health tool for contact tracing during the COVID-19 pandemic.
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As of October 2026
Director of NANDA@MIT
He is an associate professor at the MIT Media Lab and directs the Camera Culture group. He also directs NANDA@MIT, which creates the building blocks for the infrastructure of the Internet of AI agents.
Sources and credits
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