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Contact and Response Details: Ramesh Raskar
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Contact Details: Ramesh Raskar  

Website

CameraCulture Group Website

Facebook

LinkedIn

I hope the information below will address, in a timely manner, at least some of the emails I get.

Please do not hesitate to contact my assistant (a2ramesh(at)media.mit.edu) or

ping me again after a week if the information below does not address your email.

raskar(at)mit.edu | fb.com/rraskar, @raskarmit, LinkedIn

Admin: a2cc(at)media.mit.edu, Room E14-374,  75 Amherst St, Cambridge, MA 02139, Maggie: (617)324-0523

(See ‘before you email me’ instructions by others ..

Sebastian Thrun http://robots.stanford.edu/faq.html | Tim Berners-Lee http://www.w3.org/People/Berners-Lee/#Before

Jane McGonigal http://janemcgonigal.com/contact-me/  | How to keep an email short https://mobile.twitter.com/ryanallis/status/493122062546788353 )

PathCheck Foundation new 501(c)(3) nonprofit building Covid19 solutions for public health. Email info@pathcheck.org 

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Scheduling a meeting: Admin <a2ramesh@media.mit.edu>. Please explain the context and the history, and see if someone else in the cameraculture group listed below can meet you earlier. Admin’s phone number is (617)324-0523.

 

General queries for nearly all project/research/funding/job application queries: Admin <a2cc@media.mit.edu>

Apply for roles, RA, post-doc, scientist roles at http://tiny.cc/raskjobs 

Courses:  AI for Impact Ventures class: a2ramesh@media.mit.edu  https://aiforimpact.github.io/index.html 

Research Projects: Please contact the following scientists or any leaders on those projects

Data/ML Projects: Abhishek <abhi24@mit.edu>

AI, Private Machine learning, Blockchain: Praneeth <vepakom@mit.edu>

Agent based modeling: Ayush <ayushc@mit.edu>

Imaging: Akshat <ad74@media.mit.edu>

ML for 3D: Tzofi


Press inquiries, Alexandra Kahn <akahn@media.mit.edu>

More details are at:  http://tinyurl.com/raskarcontact 

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Upcoming Events

AI Venture Studio Course https://aiforimpact.github.io/index.html (Spring 2024 version coming soon)

AI for Health, Health Nights http://tiny.cc/mitai19 

Emerging Worlds http://www.mitemergingworlds.com/ 

Digital Impact Square, Nasik https://www.digitalimpactsquare.com/ 

LVP-MITRA program http://lvpmitra.com/

AI for Impact: Innovating for Billions, REDX.io

 

Joining or Applying to our group

See instructions on http://cameraculture.media.mit.edu/join. Feel free to ping leaders of any research project in our group (listed above).  We always have Post-Doc and RA positions open in various area. As long as you have strong technical, mathematical or clinical skills, please do apply even if your background does not seem to directly match our existing projects!

Visiting the lab

http://media.mit.edu/about/faq

Media Inquiry

Recent news stories: https://www.google.com/search?q=ramesh+raskar&tbm=nws 

Alexandra Kahn (akahn@media.mit.edu) or Maggie Cohen(cohenm@media.mit.edu)

If all fails, contact one of the senior members of the Camera Culture group on the corresponding project websites (see above). Most research projects have a FAQ on website.

Photo and Bio

Photo: Pl use for any talk announcements (with proper credits)

        https://www.dropbox.com/s/0rep76r4zai6boj/raskarBotnarPhoto.jpg?dl=0 

        https://www.dropbox.com/s/zw7z4rdhp0v9d4w/rameshBotnar2.png?dl=0 

        http://web.media.mit.edu/~raskar/rameshbw2.jpg

http://news.mit.edu/2016/ramesh-raskar-awarded-lemelson-mit-prize-0913 

http://news.mit.edu/2015/eyenetra-mobile-eye-test-prescription-virtual-reality-screens-1019 

TED: https://pi.tedcdn.com/r/pe.tedcdn.com/images/ted/2017a955b9e46bb6fdcffb4982210284d4260483_1600x1200.jpg?w=1200 

https://www.pinterest.com/pin/434597432760761817  

Profile Photos: One, Two, Three, Four, Five, and Folder (Credit John Werner)

Short Bio for PathCheck + MIT:

Ramesh Raskar is an Associate Professor at MIT Media Lab and founder of the PathCheck Foundation. His focus is on AI, privacy and digital health. PathCheck Foundation, is the world's largest non profit, privacy-preserving,  open source repo for Covid19. The foundation helps nations and states with Covid19 exposure notification and case management solutions (app, server, dashboard) and has contracts in multiple US states and nations. He received the Lemelson Award (2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009) and TR100 Award from MIT Technology Review (2004). He holds 90+ US patents. He has worked on special research projects at Google [X],  Facebook: to launch the first health innovation team, and Apple: privacy + health, and co-founded/advised several companies.

Short Bio:

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. These interfaces span research in physical (e.g., sensors, health-tech), digital (e.g., automating 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], Apple and Facebook and co-founded/advised several companies.

Long Bio:

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. 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.

In his recent role at Facebook, he launched and led innovation teams in Digital Health, Health-tech, Satellite Imaging, TV and Bluetooth bandwidth for Connectivity, VR/AR and 'Emerging Worlds' initiative for FB.

At MIT, his co-inventions include 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).

Before MIT, he co-invented techniques for AR, Computational Photography, Shader Lamps (projector-AR), composite RFID (RFIG), multi-flash non-photorealistic camera for depth edge detection, quadric transfer methods for multi-projector curved displays.

He received the Lemelson Award 2016 and ACM SIGGRAPH Achievement Award 2017, Technology Review TR100 award 2004 (which recognizes top young innovators under the age of 35), Global Indus Technovator Award (top 20 Indian technology innovators worldwide) 2003, Alfred P. Sloan Research Fellowship award 2009 and Darpa Young Faculty award 2010. Other awards include Marr Prize honorable mention 2009, LAUNCH Health Innovation Award, presented by NASA, USAID, US State Dept+ NIKE, 2010, Vodafone Wireless Innovation Award (first place) 2011.

His work has appeared in NYTimes, CNN, BBC, NewScientist, TechnologyReview and several technology news websites..

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 (both under preparation).

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 organizations to conduct 'SpotProbing' exercises to spot opportunities and probe solutions.

He holds 90+ US patents.

[Personal webpage http://raskar.info] http://www.media.mit.edu/~raskar

Specialties: Health-tech, Digital health, Computer Vision, Machine Learning, Imaging, Optics, Displays, Sensors, Medical Imaging, RFID, Projector, VR-AR, Computation Photography, HCI, Tech-Transfer, Ventures, Startups

Invitation to give a talk

If you are inviting, please include details on travel support, honorarium, link to previous editions so I can forward to my speakers agent.  If I have already accepted the invitation, please feel free to use the photo/bio/abstract above.  Slides of my talks are at http://slideshare.net/cameraculture .

Improving chances of a response:

Include all information in the very first email and to be honest, try to explain what is in it for me, my group or the causes I support. Your name/organization/reason should be easy to search (include in your outgoing name, subject line). For example, if you send an email from a @gmail account with a vague subject line, it will be nearly impossible for me to afterwards search and respond to your email. Best times to email me are Tue/Wedn/Thu afternoons

If I copy someone on the email in my response (e.g. my assistant or a group member), pl continue to include that person on CC and follow up with them.

Please do not forward my email or CC someone new if the content is personal, as this can be a serious breach of trust.

Demo of your product in our group or in our class

Send mail to one of project leaders listed above or speak with them on phone. We do welcome them on a case by case basis.  

Staying in touch

        Website: http://raskar.info 

        Facebook: http://facebook.com/rraskar 

        LinkedIn: http://www.linkedin.com/in/raskar 

        Twitter: @raskarmit, https://twitter.com/raskarmit 

        Orchid: https://orcid.org/0000-0002-3254-3224 

        Google Scholars and Arxiv papers

Online Talk Videos

Playlist of Various Talks: https://www.youtube.com/watch?v=lXaRPMDmoDs&list=PLAB8F8947635A6685

 

Lemelson Award 2016:

   Article,  Video1, Video2, Patents

Siggraph Achievement Award 2017:

   Video, Article: https://www.media.mit.edu/posts/ramesh-raskar-to-receive-the-acm-siggraph-achievement-award/ 

TED.com: Trillion frames per second imaging    

    http://www.ted.com/talks/ramesh_raskar_a_camera_that_takes_one_trillion_frames_per_second.html

UIST Keynote 2015

    Innovating for Billions, UIST Keynote Presentation, Stanford HCI

DARPA Wait What: Extreme Computational Imaging  (Overview of our Imaging research projects)

    https://www.youtube.com/watch?v=ZTRWjSIqARk 

TEDMED: Eye is a window to your health  (Retinal and refraction measurements for prediction of systemic health)

    http://www.tedmed.com/talks/show?id=103806 

Wired  (How to use the ‘Idea Hexagon’ to invent new ideas)

    http://www.wired.co.uk/magazine/archive/2012/11/start/inventing-a-new-field-in-vision 

    http://www.wired.co.uk/news/archive/2012-10/26/ramesh-raskar 

Google SolveForX

   https://www.solveforx.com/moonshots/eyes-are-the-window-to-health-ramesh-raskar-at-tedxyouthbeaconstreet 

TEDxBoston : Eye Tests on Mobile Phones

    http://tedxboston.org/speaker/raskar 

TEDxBeaconstreet: Idea Hexagon

    http://tedxbeaconstreet.com/rameshraskar/

6Sight: Future of Imaging, Future of Photography. Open challenges presented in 2008 but still relevant a decade later.

   https://www.youtube.com/watch?v=1bGVKvXG4dU 

Papers:

    http://raskar.info, Also check Google Scholar, Semantic Scholar for excellent visualization of papers 

Slides:

     http://slideshare.net/cameraculture

Material for Graduate Students and Researchers

How to invent using IDEA Hexagon:     http://tedxbeaconstreet.com/rameshraskar/

Masters thesis:  http://www.slideshare.net/cameraculture/raskar-thesis-guidance-2011 

How to give a talk: http://www.slideshare.net/cameraculture/how-to-give-a-good-talk 

Startups: http://www.slideshare.net/cameraculture/raskar-entrepreneurship-in-imaging-imaging-ventures-cvpr-2012

No Permissions Required for items below

You are welcome to re-use any figures from my talk or papers (with proper credit directly below the figure) without waiting for my response.

You are welcome to attend any public free events we host without waiting for my response (e.g. Imaging Cafe)

You are also welcome to attend MIT classes I teach by first checking with one of the project leaders above.

You can use segments of any videos from our papers (with proper credit directly on top of the frames)