Amir Shahhosseini

KU Leuven

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STADIUS division, ESAT

Kasteel Park Arenberg 10

Leuven, Belgium

I am a Ph.D. student at the Electrical Engineering department of KU Leuven, working in the STADIUS division under the supervision of Prof. Rodolphe Sepulchre and co-supervision of Prof. Timothy O’Leary

My research tackles the challenge of modeling and simulating spiking neural networks through an operator-theoretic lens. This problem is central to the development of large-scale neuromorphic systems and the advancement of computational neuroscience. A core aim of the project is to reconcile computational tractability with physical interpretability. To that end, we draw on a broad range of disciplines: from energy-based modeling and differential geometry in representing neuromorphic dynamics, to convex splitting methods for solving the resulting systems.

I’m broadly interested in nonlinear dynamical systems, numerical methods and optimization, neuroscience, and complex systems. My previous research projects include a numerical framework for the simulation and control of fractional-order dynamical systems (B.Sc. degree research project), a hybrid symbolic-numeric computational method for the simulation of piecewise linear nonlinear models, and a modern data-driven method for obtaining effective Poincaré sections for dynamical systems (M.Sc. degree research projects).

Beyond academia, I’m interested in philosophy, classical music, and traveling.

News

Mar 20, 2025 I won the Best Junior Presenter Award at the 44th Benelux Meeting on Systems and Control, Egmond aan Zee, Netherlands.
Dec 18, 2024 I presented our paper titled “An operator-theoretic framework to simulate neuromorphic circuits” at the IEEE 63rd Conference on Decision and Control (CDC), Milan, Italy.
Aug 20, 2024 I presented our research on “Splitting algorithms for nonlinear RLC circuits” at the 26th International Symposium on Mathematical Theory of Networks and Systems, Cambridge, UK.

Selected Publications

  1. AMM
    Fractional order actuation systems: Theoretical foundation and application in feedback control of mechanical systems
    MR Homaeinezhad and A Shahhosseini
    Applied Mathematical Modelling, 2020
  2. ND
    Poincare maps: a modern systematic approach toward obtaining effective sections
    Amir Shahhosseini, Meng-Hsuan Tien, and Kiran D’Souza
    Nonlinear Dynamics, 2023
  3. Variable Metric Splitting Methods for Neuromorphic Circuits Simulation
    Amir Shahhosseini, Thomas Burger, and Rodolphe Sepulchre
    arXiv preprint arXiv:2504.06793, 2025