Sreekar Sai Ranganathan

I am a first-year PhD student at Carnegie Mellon University working with Ioannis Gkioulekas at the CMU computational imaging group. I'm interested in developing novel physics-based techniques for vision and 3D imaging using yet-unexplored properties of light, including interferometry.

During my undergrad at IIT Madras I worked with Prof. Uday Khankhoje on compressive sensing for antenna fault diagnosis. I did my master's thesis at the CIIP lab at TU Munich, Germany and did a summer internship at Prof. Sylvain Gigan's group at the Laboratoire Kastler-Brossel, ENS Paris.

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A compressed sensing-based fault diagnosis framework in the spectral domain that allows simultaneous diagnosis and operation of a wireless communication system.

A compressed-sensing based fault diagnosis framework accounting for electromagnetic mutual-coupling effects among antennas.

A recent development for reconstructing neural activity from fourier-light field data is sparse-decomposition LFM, which isolates sparse neural activity from background fluorescence for improved reconstruction. Developed new methods for faster reconstruction exploiting redundancies in neural activity. Supported by the DAAD KOSPIE scholarship program.

Inspired by recent work using non-negative matrix factorization (NMF) for imaging through scattering media, developed a new regularisation framework exploiting optical memory-effect correlations.

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