Krishnanunni C G

POB 3SEo2B

201 E 24th St

Austin, Texas 78712

I am a PhD scholar in the Department of Aerospace Engineering & Engineering Mechanics, UT Austin working at the interface of machine learning and mechanics. I am a member of the PHO-ICES group, Oden Institute for Computational Engineering and Sciences and work with my advisor Prof. Tan Bui-Thanh. I received a bachelors degree in Civil Engineering from National Institute of Technology, Calicut in 2017 and a masters degree in Structural Engineering from Indian Institute of Technology, Madras in 2020.

I come from a mechanics background where I undertook projects on signal processing, optimization, and mathematical modelling in solid mechanics with Prof. B. N. Rao at IIT Madras and Prof. Mohammed Ameen at NIT Calicut. I was fortunate to be awarded a research fellowship to work with Prof. Phoolan Prasad at the Indian Institute of Science, Bangalore who exposed me to rigorous mathematics behind nonlinear hyperbolic waves and in particular allowed me to appreciate the beauty of mathematics in mechanics. Currently, my broad interest lies in anything creative and mathematically beautiful. In particular, I work on projects in the field of inverse problems, machine learning, nonlinear estimation theory, and mathematical modelling.

news

Mar 15, 2025	Our new paper on “An adaptive and stability-promoting layerwise training approach for sparse deep neural network architecture” has been accepted for publication in Computer Methods in Applied Mechanics and Engineering.
Oct 24, 2024	Won the best poster award at the Workshop on Scientific Machine Learning, October 2024. The poster talks about “approaches for deep neural network architecture adaptation”. Poster is provided HERE.
Aug 20, 2024	High level details on the work conducted at Lawrence Livermore National Laboratory, USA as a part of my summer internship is provided HERE.
Jun 20, 2024	Received the Warren A. and Alice L. Meyer Endowed Scholarship in Engineering from the Cockrell School of Engineering, UT Austin, 2024-2025, nominated by the Department of Aerospace Engineering & Engineering Mechanics.
Jul 25, 2023	Our new paper on unifying randomized methods for inverse problems is published in Inverse problems.

selected publications

2025

arXiv

Topological derivative approach for deep neural network architecture adaptation

Krishnanunni C G, and Tan Bui-Thanh

arXiv preprint arXiv:2502.06885, 2025

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@article{krishnanunni2025topological,
  title = {Topological derivative approach for deep neural network architecture adaptation},
  author = {C G, Krishnanunni and Bui-Thanh, Tan},
  journal = {arXiv preprint arXiv:2502.06885},
  year = {2025},
}

2023

IP

On unifying randomized methods for inverse problems

Jonathan Wittmer, Krishnanunni Giri, Hai Van Nguyen, and 1 more author

Inverse Problems, 2023

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2022

arXiv

Layerwise Sparsifying Training and Sequential Learning Strategy for Neural Architecture Adaptation

CG Krishnanunni, and Tan Bui-Thanh

arXiv preprint arXiv:2211.06860, 2022

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