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.

Spotting Faults over the spectrum: Fast and online antenna array fault diagnosis for multi-carrier precoding systems new!
Sreekar Sai Ranganathan, Prajosh K.P., Uday K. Khankhoje, Francesco Ferranti
IEEE Transactions on Wireless Communications, Feb 2023 (link, PDF)

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

Efficient Mutual-Coupling Aware Fault Diagnosis of Phased Array Antennas Using Optimized Excitations
Prajosh K.P., Sreekar Sai Ranganathan, Francesco Ferranti, Uday K. Khankhoje
IEEE Antennas and Wireless Propagation Letters, Sep 2022 (link,PDF)

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

Ongoing work
4D spatio-temporal neural activity imaging using Fourier LFM
Master's thesis at the CIIP Lab, Technical University of Munich (Sep 2022 - Mar 2023)*

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.

Improved NMF for imaging through scattering media
Summer Internship at the Complex Media Optics Lab, ENS Paris (May - Aug 2022)*

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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