The MTech in Signal Processing course IISc Bangalore now has a LinkedIn page! Follow here for updates: bit.ly/3KzSu9F

My biggest personality-related struggles that hindered my progress (in and out of academia) are: -fear of failure; -reluctance to ask; -procrastinating because I think my work is not perfect. Here is how these impact(ed) my work. (1/n) #PhDChat #phdlife PhD Voice - Independently Run Academic Chatter™

Bangalore has a nice Hollywood Mexico filter thing going this evening

I've seen many creatives quit regardless of making great progress. The problem is that they discard exploration and experimentation as progress.

Stuff of my nightmares. Glad to know it can actually happen. Cool cool cool cool

Publication alert! My first first-author paper, based on my master's dissertation, is out on BSSA online SSA. We used the Hilbert-Huang transform to provide rapid estimates of relative energy release at the earthquake source. doi.org/10.1785/012022…

Hilbert–Huang Transform and Energy Rate Functions for Earthquake Source Characterization—A Study from the Japan Trench #BSSA Swapnil Mache IISc Bangalore tinyurl.com/2mz2h8wu

apartment is a long word that can be squeezed into a smaller space which is apt

Gave my first invited talk, IIT Hyderabad! Discussed work on deep-unfolded networks for seismic inversion, done in collaboration with Praveen Kumar Pokala, Prof. Kusala Rajendran, and Prof. Chandra Sekhar Seelamantula while IISc Bangalore. Thanks, Priyanka Mishra, for inviting me

We have three papers accepted at NeurIPS Conference 2022 Workshops at Med-NeurIPS, INTERPOLATE @ NeurIPS 2022 and also a Spotlight at DLDE-II. Check out the posters and GitHub repos! Congratulations Siddarth Asokan and Harishwar! #NeurIPS22 #AcademicTwitter

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New year, new beginnings! Excited to be starting as a Researcher University of Twente (inactive)!

A Journal article, led by Jaishri Sanwal and C. P. Rajendran and that I contributed to, is now published in Marine Geology! authors.elsevier.com/c/1gzzd5mVdwC4…

So happy to share that our work on seismic inversion using model-based deep learning has been accepted for publication at IEEE TCI! A long and fruitful collaboration with Dr. Praveen Kumar Pokala, PhD, Prof. Chandra Sekhar Seelamantula and Prof. Kusala Rajendran!

Deep unfolding networks employed for solving a problem in geophysics. Extensive tests on synthetic to simulated to real data show their strengths and potential to the seismology and geophysics community and beyond!