• (Feb 18) Teaching a new class: MAS.S65 Society of Autonomous Vehicles.
  • (Dec 17) Tutorial on Computational Imaging for Self-Driving Vehicles in CVPR 2018, more details soon.
  • (Dec 17) Talk at the Boston Vision Meetup.
  • (Oct 17) My talk from AutoSens Detroit is live.
  • (Sep 17) All Photons Imaging covered in the Photonics Spectra Sep. 2017 edition.
  • (Sep 17) Added the Mind Reader game - can you beat the machine?
  • (Sep 17) Talk at the Harvard vision journal club
  • (Jul 17) New paper on calibration invariant imaging using deep learning in Optics Express
  • (Jun 17) Present a poster on All Photons Imaging Through Layered Structures in COSI
  • (May 17) Visit Prof. Daniele Faccio group at Heriot-Watt
  • (May 17) Talk at Auto-Sens conference in Detroit, link to slides
  • (May 17) Talk at NES OSA
  • (May 17) Presented a poster on "Lensless imaging with compressive ultrafast sensing" in ICCP
  • (Mar 17) New paper on lensless imaging accepted to special edition on Extreme Imaging of IEEE trans. on Computational Imaging, MIT News
  • (Feb 17) Talk at Amazon Israel
  • (Feb 17) Talk at Technion Pixel Club
  • (Feb 17) Talk at Ben Guriun University
  • (Nov 16) My TEDx Beacon St talk is live
  • (Nov 16) Talk at Bose
  • (Nov 16) Talk at TEDx Beacon Street
  • (Nov 16) Talk at the New England Vision Workshop
  • (Sep 16) All Photon Imaging Through Volumetric Scattering - New paper in Nature Scientific Reports, featured by MIT News.
  • (Aug 16) Presented in the EMBC 16 conference - on using signal processing to identify Asthma
  • (Jul 16) Presented in the COSI 16 conference - on our method to measure perfusion in an endoscopic system
  • (Jun 16) Started a summer internship at Qunatlab
  • (May 16) Developed a MindReader machine as part of an online machine learning class
  • (May 16) Gave a talk at MIT CSAIL vision meeting
  • (May 16) Presented invited paper at the SPIE defense and sensing conference - on advances in ultrafast imaging
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Reinventing the Stethoscope

We built a device for automatic diagnosis and screening of patients with potential cardiac problems. The device is composed of a synchronized digital stethoscope and an ECG. The two signals allow signal processing algorithms to overcome significant challenges in automatic classification of heart murmurs.
This work started at the MIT Media Lab Engineering Health class and later continued in several REDX workshops in India.

Glasses Free Display

The goal of this project was a display that would correct eye aberration instead of glasses, i.e. a person who usually wears glasses would be able to see information on a display clearly without the need of glasses. The display would show an image that is pre-distorted (for specific eye conditions), but would be perceived as a sharp image by a person standing in front of the display. While other works solved this problem with a combination of hardware and algorithms, here we tried to use a pure software solution with a regular display (as a visiting student in Camera Culture group).

About Me

I am a PhD student and a research assistant in the Camera Culture group at MIT Media Lab.
I have experience in computational imaging, signal processing, machine learning, optimization and optics.
I am broadly interested in various aspects of computational imaging, in particular enhancing computational imaging techniques with data-driven techniques like deep learning, imaging through scattering media (like fog and human tissue), and compressive imaging (single pixel camera and lens-less imaging). My current research focuses on solving fundamental problems in autonomous systems like self driving cars and drones.
During my undergraduate studies I researched the use of Memristors (a recently discovered fundamental electronic device) for logic in future VLSI circuits and CPU architectures.


Work Experience:


For most updated list visit my Google Scholar page.

Journal Papers

Refereed Conference Proceedings (full papers)





guysatat (at) mit (dot) edu