talks

This page includes talks I have given at conferences and other invited talks.

Invited talks

  • “LiLaN: A linear latent network approach for solutions to stiff nonlinear ordinary differential equations”, Pasteur Labs, USA, USA, September 8, 2026 (upcoming).
  • “Topological derivative approach for deep neural network architecture adaptation”, Computational Algebra Seminar, UT Austin, May 2, 2025.
  • ” Model-Constrained Approach for Neural Architecture Design with application to UQ”, SIAM UQ 2022, Atlanta, Georgia, April 12-15.
  • “Sensitivity-based damage detection algorithm for structures using Vibration response”, Talk delivered at the Engineers day Celebration of the Association of Engineers Kerala, Munnar, Idukki, India, September 17.

Conferences and Workshops

  • C. G. Krishnanunni, Tan Bui-Thanh, “Approaches for deep neural network architecture design.” UQMLIP, Virginia, 2024.
  • C. G. Krishnanunni, Tan Bui-Thanh, Best Poster Award at the Workshop on Scientific Machine Learning, UT Austin, 2024.
  • Attended the 2024 Spring Southeastern Sectional Meeting of the American Mathematical Society held at Florida State University. Florida, March, 2024.
  • C. G. Krishnanunni, Tan Bui-Thanh, “A two-stage strategy for neural architecture design.” USNCCM, Albuquerque, New Mexico, 2023.
  • “Layerwise sparsifying training and sequential learning strategy for neural architecture adaptation”, 5th Annual Meeting of the SIAM Texas-Louisiana Section, Houston, November 4-6.
  • C. G. Krishnanunni, B. N. Rao, “Timoshenko beam-vehicle coupled dynamic model for pavement roughness identification.” US National Congress on Computational Mechanics, Austin, Texas, USA, 7/2019.
  • Shereena O. A, C. G. Krishnanunni, B. N. Rao, “Performance comparison of discrete Kalman filter and Dynamic programming methods for pavement roughness identification.” National Congress on Multidisciplinary Design, Analysis, and Optimization (NCMDAO 2019), Bangalore, 03/2019.

Selected Awards

  • Warren A. and Alice L. Meyer Endowed Scholarship, Cockrell School of Engineering, UT Austin (2024)
  • Best Poster Award, Workshop on Scientific Machine Learning, UT Austin (2024)
  • Best MS Thesis Award, IIT Madras (2020)
  • Best B.Tech Project Award, NIT Calicut & Association of Engineers Kerala (2017)
  • Summer Research Fellowship, Indian Academy of Sciences / IISc (2015)