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• Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks
  2024 · 12 citations
• Discrete-Time Nonlinear Feedback Linearization via Physics-Informed Machine Learning
  2023 · 8 citations
• Linear Stability Analysis of Physics-Informed Random Projection Neural Networks for ODEs
  2024 · 2 citations
• Enabling Local Neural Operators to perform Equation-Free System-Level Analysis
  2025 · 1 citations
• A physics-informed neural network method for the approximation of slow invariant manifolds for the general class of stiff systems of ODEs
  2024 · 1 citations
• Parsimonious Physics-Informed Random Projection Neural Networks for Initial-Value Problems of ODEs and index-1 DAEs
  2022 · 1 citations
• Learning Contractive Integral Operators with Fredholm Integral Neural Operators
  2026
• HEATNETs: Explainable Random Feature Neural Networks for High-Dimensional Parabolic PDEs
  2025
• A Hybrid Neural Network -- Polynomial Series Scheme for Learning Invariant Manifolds of Discrete Dynamical Systems
  2025
• Slow Invariant Manifolds of Singularly Perturbed Systems via Physics-Informed Machine Learning
  2023