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Faculty

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About

Sushant Pokhriyal

Assistant Professor

Institute of Engineering & Technology

Biography

Dr. Sushant Pokhriyal holds a Ph.D. in Mathematics from Shiv Nadar University, India, with a thesis on invariant subspaces associated with near-isometry and unicellular operators. His research interests span Dynamical Systems, Operator Theory, Applied Harmonic Analysis, and Machine Learning, with a current focus on data-driven modeling and learning of nonlinear dynamical systems. He studies how finite-dimensional nonlinear dynamics can be embedded into infinite-dimensional function spaces, particularly Reproducing Kernel Hilbert Spaces (RKHS), using linear operators such as the Liouville and Koopman operators. A key component of his work is the integration of deep learning techniques to learn operator representations, latent coordinates, and reduced-order models directly from data, enabling scalable and interpretable modeling of complex dynamical processes. His research achievements include the CSIR-JRF (All India Rank 63) and GATE (All India Rank 268) qualifications.

Education

  • Shiv Nadar University, UP, India

    2022 – Ph.D. in Mathematics

    Advisor: Prof. Sneh Lata

    Thesis: Invariant subspaces associated with near-isometry and unicellular operators

  • Ramjas College, University of Delhi, New Delhi, India

    2014 – M.Sc. in Mathematics

  • Acharya Narendra Dev College, University of Delhi, New Delhi, India

    2011 – B.Sc. (Hons.) in Mathematics

  • Dynamical Systems
  • Operator Theory
  • Applied Harmonic Analysis
  • Machine Learning and Deep Learning
  • Koopman and Liouville Operator Theory
  • Reproducing Kernel Hilbert Spaces (RKHS)
  • Kolmogorov–Arnold Networks (KANs)

  • Pokhriyal, S., Lata, S., Singh, D. (2022). Multivariate Sub Hardy Hilbert Spaces invariant under the action of n-tuple of Finite Blaschke Factors. Journal of Mathematical Analysis and Applications.

  • Pokhriyal, S., Lata, S., Singh, D. (2023). Invariant Subspaces of Powers of Unicellular Operators. New York Journal of Mathematics.

  • Fractional-Order Dynamical Control using Kolmogorov-Arnold Networks, with Hongwei Chen, Joel A. Rosenfeld, and Tansel Yucelen.

  • Restricted Liouville Operators for the Study of Non-Analytic Dynamics within the Disc, with Joel A. Rosenfeld.

  • Integral Formulation of QENDy for Robust Nonlinear System Identification, with Nikhil Saran, Stefan Klus, Rushikhesh Kamalapurkar, and Joel A. Rosenfeld.

  • Compressed Liouville Operators for the Study of Non-Analytic Dynamics on RKHS, with Joel A. Rosenfeld.

  • Mori-Zwanzig Formalism of Dynamical Systems under the Action of Occupational Kernel, with Chukwuebuka Amagwula and Joel A. Rosenfeld.

  • Kernalized Active Subspace, with Joel A. Rosenfeld and Benjamin P. Russo (preprint ready).

  • Compressed Liouville Operators over the Paley Wiener Space for System Approximation, with Joel A. Rosenfeld (preprint ready).

  • Invited Talk (2 Days Session) – Workshop on Mathematics, Applications in AI and Data Science, Dec 20–21, 2025, Banasthali Vidyapith.

  • Session Chair – 41st SEAM, 2025, University of South Florida.

  • Presented: "Multivariable Sub Hardy Hilbert Spaces Invariant under the Action of Finite Blaschke Factors", 40th SEAM, University of Florida, 2023.

  • Presented: "Invariant Subspaces of Powers of Some Unicellular Operators", Jan 2023, IIT Kanpur.

  • Presented: "Invariant Subspaces of Powers of Some Unicellular Operators", NCPMA-RAMAA, May 2022, DST-CIMS, Institute of Science, BHU.

  • Focus Program on Analytic Function Spaces and Their Applications, July–Dec 2021, Fields Institute, Canada (Enrolled).

  • Presented: "Multivariable Sub Hardy Hilbert Spaces Invariant under the Action of Finite Blaschke Factors", 35th RMSCON, Central University of Rajasthan, 2020.

  • AIS Operator Theory, 16–28 Dec 2019, IIT Kanpur (Attended).

  • ATM School for Modern Aspects of Function Theory, Operator Theory and Operator Algebras, Dec 2018, ISI Bangalore.

  • MAC2283 – Engineering Calculus III (Fall 2023, Spring 2024)

  • MAP2302 – Differential Equations (Spring 2024, Fall 2025)

  • Dynamical Systems
  • Operator Theory
  • Harmonic Analysis
  • Machine Learning
  • Linear Algebra
  • Differential Equations
  • Calculus

Research & Teaching Expertise

  • Develops data-driven and operator-theoretic frameworks for modeling nonlinear dynamical systems.
  • Integrates deep learning architectures with Koopman and Liouville operators.
  • Specializes in RKHS embeddings, Koopman theory, and linear representations of nonlinear dynamics.
  • Research in interpretable machine learning, including Kolmogorov–Arnold Networks (KANs).
  • Bridges functional analysis, harmonic analysis, and modern ML techniques.

Research Positions

  • Postdoctoral Researcher, University of South Florida, Tampa, USA. (Aug 2023 – Aug 2025). Host: Prof. Joel A. Rosenfeld.

  • Visiting Scientist, Indian Statistical Institute, Bangalore, India. (Feb – May 2023). Host: Prof. Jaydeb Sarkar.

  • Research Assistant, Shiv Nadar University, Greater Noida, India. (Aug – Dec 2022). Host: Prof. Sneh Lata.

Academic Faculty

  • Primary Instructor, University of South Florida, Tampa, USA. (Aug 2023 – Aug 2025).

Reviewer Experience

  • Complex Analysis and Operator Theory
  • Discrete and Continuous Dynamical Systems – Series B
  • Indian Journal of Pure and Applied Mathematics

Professional Service

  • Session Chair, 41st SEAM, 2025, University of South Florida.

Awards & Honours

  • CSIR-JRF (All India Rank 63), Dec 2016
  • GATE (All India Rank 268), Dec 2016

Skills

  • Programming Languages: MATLAB, Python

References

  • Prof. Sneh Lata (Ph.D. Thesis Supervisor)
    Department of Mathematics, Shiv Nadar Institute of Eminence, Dadri–201314, Uttar Pradesh, India
    Email: [email protected]

  • Prof. Joel A. Rosenfeld (Postdoc Advisor)
    Department of Mathematics and Statistics, University of South Florida, Tampa, FL, USA
    Email: [email protected]

  • Prof. Priyanka Grover (Ph.D. Committee Member)
    Department of Mathematics, Shiv Nadar Institute of Eminence, Dadri–201314, Uttar Pradesh, India
    Email: [email protected]

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