Vignesh Gopakumar
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Talks


  • Calibrated Physics-Informed Uncertainty Quantification - Workshop on Calibrating Uncertainties, University of Cambridge (Cambridge 2025) [Slides]

  • On Surrogate Modelling for Fusion - PhysicsX (London 2024) [Slides]

  • FNO for Plasma Modelling - IAEA Workshop on AI for Accelerating Fusion and Plasma Science (Vienna 2023) [Slides]

  • FNO for Plasma Modelling - IAEA Fusion Energy Conference (London, 2023) [Slides]

  • FNO for Plasma Modelling - AI for sustainability workshop @ UCL (London, 2023)

  • Fourier RNNs for modelling noisy physics data - IEEE ICMLA (Bahamas, 2022) [Slides]

  • Informed Sampling of the Plasma Hyperspace for Digital Twinning - IAEA Fusion Data Processing, Validation, Analysis (Chengdu, 2021) [Slides]

  • Optimising Physics Informed Neural Networks - PyTorch Ecosystem Day (Virtual, 2021)[Poster]

  • Fluid Surrogates using Neural PDEs - SciML at RAL, STFC (Oxford, 2020) [Slides]

  • Solving Fluid Dynamics with Neural Networks - FusionEP (Virtual, 2020) [Video] [Slides]

  • Data Driven Modelling of Plasma in Tokamaks - IOP Physics in the spotlight (London, 2019) [Slides]

  • Data Driven Modelling and Control of Plasma in Fusion Reactors - O’Reilly AI London (London, 2019) [Video]

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