I am an Assistant Professor of Electrical Engineering at Harvard University, directing the Signals, Information, and Networks Group (SING) at the School of Engineering and Applied Sciences. At SING, we investigate the following two lines of research:

  1. Sampling, representations, and inference for dynamics on networks;
  2. Sampling and inference for spatiotemporal single-photon imaging.

News

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Welcome to new group member

August 30, 2012
Welcome to Ariana Minot, who joined my group in August. Ariana received her Bachelor of Science degree in Physics and Mathematics from Duke University in 2010. She is a Ph.D. student in Harvard's applied math program, and a recipient of a three-year NSF Graduate Research Fellowship.
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Imaging by One-Bit Pixels

June 5, 2011

Before the advent of digital image sensors, photography, for the most part of its history, used film to record light information. In the paper Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics, we study a new digital image sensor that is reminiscent of photographic film. Each pixel in the sensor has a binary response, giving only a one-bit quantized measurement of the local light intensity.

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ICASSP Best Student Paper Award

March 21, 2011

The paper Can One Hear the Shape of a Room: The 2-D Polygonal Case was awarded the Best Student Paper Award at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) in 2011. In a famous work, M. Kac asks the catchy question “Can you hear the shape of a drum?”. This problem is related to a question in astrophysics, and the answer is negative, meaning, different drum shapes can have the same resonant frequencies.