Vignesh Gopakumar
Fusion Specific Machine Learning Engineer, United Kingdom Atomic Energy Authority

Vignesh Gopakumar is a machine learning engineer specializing in fusion research with the United Kingdom Atomic Energy Authority. He spends his time building machine learning algorithms to model physics systems that help gain more understanding of the underlying phenomenons. He designs algorithms that help discover anomalies as well as predict malfunction of engineering systems. He’s working on building a model that can be augmented in real time when exposed to different physics principles.

Sessions

16:50–17:30 Thursday, 17 October 2019

Location: Blenheim Room - Palace Suite

A data-driven approach to model the physics of superheated gas hitting a wall

Implementing AI

Secondary topics: Machine Learning, Machine Learning tools, Temporal data and time-series

Vignesh Gopakumar (United Kingdom Atomic Energy Authority)

Vignesh Gopakumar explores image mapping of the temporal evolution of physics parameters as plasma interacts with the reactor wall using a data-inferred approach. The model captures how parameters such as temperature and density evolve across space and time. By analyzing the patterns found in simulation data, the model learns the existing physics relations implicitly defined within the data. Read more.