talks & awards

Invited talks, conference presentations, and awards.

Invited Talks

  • “On the Approximation Power of LiLaN for Simulating Stiff Nonlinear ODEs.”
    AstroAI-Lab, Heidelberg University, Germany, November 4, 2026.
  • “LiLaN: A Linear Latent Network Approach for Solutions to Stiff Nonlinear Ordinary Differential Equations.”
    Pasteur Labs, USA, September 15, 2026.
  • “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 Conference on Uncertainty Quantification (UQ22), Atlanta, Georgia, April 12–15, 2022.
  • “Sensitivity-Based Damage Detection Algorithm for Structures Using Vibration Response.”
    Engineers Day Celebration, Association of Engineers Kerala, Munnar, India, September 17, 2017.

Conference Presentations

  • C. G. Krishnanunni, “Framing Model Training as a Dynamical System.”
    Schöntal Discussion Workshop, Schöntal, Germany, 2026.
  • C. G. Krishnanunni, Tan Bui-Thanh, “Approaches for Deep Neural Network Architecture Design.”
    UQMLIP, Virginia, USA, 2024.
  • C. G. Krishnanunni, Tan Bui-Thanh, “A Two-Stage Strategy for Neural Architecture Design.”
    US National Congress on Computational Mechanics (USNCCM), Albuquerque, New Mexico, 2023.
  • C. G. Krishnanunni, “Layerwise Sparsifying Training and Sequential Learning Strategy for Neural Architecture Adaptation.”
    5th Annual Meeting of the SIAM Texas–Louisiana Section, Houston, Texas, 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 (USNCCM), Austin, Texas, July 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), Bangalore, India, March 2019.

Meetings Attended

  • Summer School on Theoretical Foundations of Deep Learning, Raitenhaslach, Germany, October 5–8, 2026.
  • American Mathematical Society Spring Southeastern Sectional Meeting, Florida State University, Tallahassee, Florida, March 2024.

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)