Publications

A list of my published journal articles, conference proceedings, preprints and technical in (reverse) chronological order.

Journal publications

  1. Govindarajan, N., Chandrasekaran, S., Dewilde Lathauwer, L. (2025). Tree Quasi-separable Matrices: A Simultaneous Generalization of Sequentially and Hierarchically Semiseparable Representations SIAM Journal on Matrix Analysis and Applications, 46(2), 1562-1586. (PDF)
  2. Govindarajan, N., Widdershoven, R., Chandrasekaran, S., De Lathauwer, L. (2024). A fast algorithm for computing Macaulay null spaces of bivariate polynomial systems. SIAM Journal on Matrix Analysis and Applications , 45(1), 368-396. (PDF code)
  3. Govindarajan, N., Vervliet, N., & De Lathauwer, L. (2022). Regression and classification with spline-based separable expansions. Frontiers in big Data, 5, 688496. (PDF code)
  4. Govindarajan, N., Epperly, E. N., & De Lathauwer, L. (2022). (L_r,L_r,1)-Decompositions, sparse component analysis, and the blind separation of sums of exponentials. SIAM Journal on Matrix Analysis and Applications, 43(2), 912-938. (PDF)
  5. Epperly, E. N., Govindarajan, N., & Chandrasekaran, S. (2021). Minimal rank completions for overlapping blocks. Linear Algebra and its Applications, 627, 185-198. (PDF code)
  6. Govindarajan, N., Mohr, R., Chandrasekaran, S., & Mezic, I. (2021). On the approximation of Koopman spectra of measure-preserving flows. SIAM Journal on Applied Dynamical Systems, 20(1), 232-261. (PDF code)
  7. Govindarajan, N., Mohr, R., Chandrasekaran, S., & Mezic, I. (2019). On the approximation of Koopman spectra for measure preserving transformations. SIAM Journal on Applied Dynamical Systems, 18(3), 1454-1497. (PDF code)
  8. Govindarajan, N., De Visser, C. C., Van Kampen, E., Krishnakumar, K., Barlow, J., & Stepanyan, V. (2015). Optimal control framework for estimating autopilot safety margins. Journal of Guidance, Control, and Dynamics, 38(7), 1197-1207. (PDF)
  9. Govindarajan, N., de Visser, C. C., & Krishnakumar, K. (2014). A sparse collocation method for solving time-dependent HJB equations using multivariate B-splines. Automatica, 50(9), 2234-2244. (PDF)

Conference proceedings

  1. Madala, V. C., Govindarajan, N., Chandrasekaran, S. (2026). MNO : A Multi-modal Neural Operator for Parametric Nonlinear BVPs. 5th Annual AAAI Workshop on AI to Accelerate Science and Engineering (AI2ASE), Singapore. (PDF code)
  2. Widdershoven, R., Govindarajan, N., De Lathauwer, L. (2023, September). Overdetermined systems of polynomial equations: tensor-based solution and application. Proceedings of EUSIPCO 2023, Helsinki, Finland. (PDF)
  3. Chandrasekaran, S., Govindarajan, N., & Rajagopal, A. (2018, July). Fast Algorithms for Displacement and Low-Rank Structured Matrices. In Proceedings of the 2018 ACM International Symposium on Symbolic and Algebraic Computation (pp. 17-22). (PDF)
  4. Govindarajan, N., Arbabi, H., Van Blargian, L., Matchen, T., & Tegling, E. (2016, December). An operator-theoretic viewpoint to non-smooth dynamical systems: Koopman analysis of a hybrid pendulum. In 2016 IEEE 55th Conference on Decision and Control (CDC) (pp. 6477-6484). IEEE. (PDF code)

Preprints & technical reports

  1. Widdershoven, R., Govindarajan, N., De Lathauwer, L. (2025). Fast Macaulay null space through the intersection of shifted null spaces. Technical Report 25-56, ESAT-STADIUS, KU Leuven. (PDF code)
  2. Chandrasekaran, S., Epperly, E. N., Govindarajan, N. (2019). Graph-induced rank structures and their representations. arXiv preprint arXiv:1911.05858 [math.NA]. (PDF)

Dissertation

  1. Govindarajan, N. (2018). Periodic approximations and spectral analysis of the Koopman operator: theory and applications. PhD thesis. University of California Santa Barbara (PDF)