ICCP (2018)Project WebsiteLocal CopyMIT News
Imaging through fog has important applications in industries such as self-driving cars, augmented driving, airplanes, helicopters, drones and trains. Current solutions are based on radar that suffers from poor resolution (due to the long wavelength), or on time gating that suffers from low signal-to-noise ratio. Here we demonstrate a technique that recovers reflectance and depth of a scene obstructed by dense, dynamic, and heterogeneous fog. For practical use cases in self-driving cars, the imaging system is designed in optical reflection mode with minimal footprint and is based on LIDAR hardware. Specifically, we use a single photon avalanche diode (SPAD) camera that time-tags individual detected photons. A probabilistic computational framework is developed to estimate the fog properties from the measurement itself, and distinguish between background pho- tons reflected from the fog and signal photons reflected from the target.
Optics Express Vol. 25, 17466-17479 (2017)Project WebsiteLocal CopyOSA
A deep learning method for object classification through scattering media. Traditional techniques to see through scattering media rely on a physical model that has to be precisely calibrated. Computationally overcoming the scattering relies heavily on such physical models, and on the calibration accuracy. Thus, such systems are extremely sensitive to an accurate and lengthy calibration process. Our method trains on synthetic data with variations in calibration parameters that allows the network to learn an invariant model to calibration of lab experiments.
IEEE Transactions on Computational Imaging (2017)Project WebsiteLocal CopyIEEEMIT News
Traditional cameras require a lens and a mega-pixel sensor to capture images. The lens focuses light from the scene onto the sensor. We demonstrate a new imaging method that is lensless and requires only a single pixel for imaging. Compared to previous single pixel cameras our system allows significantly faster and more efficient acquisition. This is achieved by using ultrafast time-resolved measurement with compressive sensing. The time-resolved sensing adds information to the measurement, thus fewer measurements are needed and the acquisition is faster. Lensless and single pixel imaging computationally resolves major constraints in imaging systems design. Notable applications include imaging in challenging parts of the spectrum (like infrared and THz), and in challenging environments where using a lens is problematic.
Adding an emoji search box to gmail was one of the projects I worked on during my internship at Google.
Drop marbles to solve puzzles in this addictive and challenging puzzle game. Place a variety of colored marbles into funnels so that they arrive in their correct bin. Along the way, watch out for switches, tippers, color mixers and other traps!
Download high quality Spotify songs from their URL. The program reconstructs the PCM frames into a 320 kbps MP3 with metadata. This was not designed to be malicious, simply a personal programing challenge.
SleepTight is designed to improve scoliosis brace usage by increasing patient comfort to encourage consistent use. This is achieved by tightening the brace straps with motors after the patient has fallen asleep. In this project I designed and built the electronics in addition to being the team leader.
Can’t quite remember what that equation was? (Work in progress)
Enjoy fast and fun mobile conversation! Cluck gets your friend's attention like a phone call but lets you text instead of talk.
Motor controlled dolly and camera track controlled by an arduino microcontroller. It can be used to create moving timelapse videos.
Work on sketches in real time with others.
Create an interactive shared playlist with your friends and watch as songs, movies, and YouTube videos are played perfectly in sync among all devices.