Sreekar Sai Ranganathan

I am a final year Dual Degree (B.Tech+M.Tech) student of EE at IIT Madras, currently working on my master's thesis at the CIIP lab at TU Munich, Germany via the DAAD KOSPIE scholarship program.

I'm currently working on neural activity reconstruction from fourier light-field microscopy data. I've previously worked with Prof. Uday Khankhoje on compressive sensing for antenna fault diagnosis. I spent the last summer working with Prof. Sylvain Gigan at the Laboratoire Kastler-Brossel, ENS Paris on imaging through scattering media using NMF.

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I'm interested in computational imaging problems with a strong physics component, often involving microscopy, scattering media and medical image reconstruction. I've previously worked on compressed sensing for antenna array fault diagnosis in the context of wireless communication systems.

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. Developing new methods for faster reconstruction exploiting redundancies in neural activity via the DAAD KOSPIE scholarship program.

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

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