Scholar
Vignesh Gopakumar
Google Scholar ID: NQtqemwAAAAJ
UK Atomic Energy Authority, University College London
Citations & Impact
Citations
210
H-index
7
i10-index
5
Publications
20
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Developing simvue.io, an AI-driven, open-source simulation management and tracking dashboard to streamline engineering workflows. Funded by public funding from the UK Government, currently in private beta.
Research Experience
- Leading a team at UK Atomic Energy Authority (UKAEA) on fusion industry-related research; Also a visiting researcher with the SciML group at STFC's Rutherford Appleton Laboratory.
Education
- Pursuing a PhD in Machine Learning under Marc Deisenroth at University College London.
Background
- Research Interests: Physics-Informed Machine Learning, Continuous Dynamics Modelling, Uncertainty Quantification, Design of Experiments; Professional Field: Enhancing machine learning models' performance, robustness, and interpretability; Brief Introduction: A senior research scientist at UKAEA, leading a team developing 'actionable' surrogate models for exascale simulations and data-driven models for the Fusion industry.
Miscellany
- Quoted Bertrand Russell: 'If there is a God, it must be a differential equation.'
