Contact Details: Ramesh Raskar
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 Maggie Cohen(firstname.lastname@example.org) or
ping me again after a week if the information below does not address your email.
Admin: Maggie Cohen, cohenm(at)mit.edu, Room E14-374, 75 Amherst St, Cambridge, MA 02139, Maggie: (617)324-0523
(See ‘before you email me’ instructions by others ..
Jane McGonigal http://janemcgonigal.com/contact-me/ | How to keep an email short https://mobile.twitter.com/ryanallis/status/493122062546788353 )
Scheduling a meeting: Maggie Cohen <email@example.com>. Please explain the context and the history, and see if someone else in the cameraculture group listed below can meet you earlier. Maggie’s phone number is (617)324-0523.
General queries for nearly all project/research/funding/job application queries: Maggie <firstname.lastname@example.org>
Apply for roles, RA, post-doc, scientist roles at http://tiny.cc/raskjobs
Engineering Health and AI for Health Ventures class: Joost Bonsen <email@example.com>
Research Projects: Please contact the following scientists or any leaders on those projects
AI, Private Machine learning, Blockchain: Praneeth <firstname.lastname@example.org>
Ultrafast Imaging, Femto-photography: Tomo Maeda <email@example.com>
Computational Imaging/Photography: Tomo Maeda <firstname.lastname@example.org>
3D imaging, Time of Flight, Retinal Imaging: Tristan Swedish <email@example.com>
Computer Vision, Machine learning, Medical imaging: Guy Satat <firstname.lastname@example.org>
Visual Social Computing (ViSoCo): Nikhil Naik <email@example.com>
Health, Diagnostics, Tricorder: Tristan Swedish <firstname.lastname@example.org>
More details are at: http://tinyurl.com/raskarcontact
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
Recent news stories: https://www.google.com/search?q=ramesh+raskar&tbm=nws
Alexandra Kahn (email@example.com) or Maggie Cohen(firstname.lastname@example.org)
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)
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] and Facebook and co-founded/advised several companies.
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
Twitter: @raskarmit, https://twitter.com/raskarmit
Online Talk Videos
Playlist of Various Talks: https://www.youtube.com/watch?v=lXaRPMDmoDs&list=PLAB8F8947635A6685
Lemelson Award 2016:
Siggraph Achievement Award 2017:
TED.com: Trillion frames per second imaging
UIST Keynote 2015
DARPA Wait What: Extreme Computational Imaging (Overview of our Imaging research projects)
TEDMED: Eye is a window to your health (Retinal and refraction measurements for prediction of systemic health)
Wired (How to use the ‘Idea Hexagon’ to invent new ideas)
TEDxBoston : Eye Tests on Mobile Phones
TEDxBeaconstreet: Idea Hexagon
6Sight: Future of Imaging, Future of Photography. Open challenges presented in 2008 but still relevant a decade later.
Material for Graduate Students and Researchers
How to invent using IDEA Hexagon: http://tedxbeaconstreet.com/rameshraskar/
How to give a talk: http://www.slideshare.net/cameraculture/how-to-give-a-good-talk
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)