Suresh Bishnoi [PhD Student, IIT Delhi]

Suresh works on Physics-informed Graph Neural Network for Accelerated Materials Modeling. He completed his B.Tech. in Civil Engineering from IIT Delhi prior to joining M3RG, IIT Delhi as a research scholar.

Education

PhD Course Work

Brief CV: Click here to download.

Academic Referres:

• Prof. N. M. Anoop Krishnan, Department of Civil Engineering, IIT Delhi
• Prof. Jayadeva, Department of Electrical Engineering, IIT Delhi

Conferences and workshops attended:

International Conferences

• Material Science & Technology 2019 (MS&T19) (Offline):
  • Machine learning to predict the elastic properties of glasses
• Material Science & Technology 2021 (MS&T21) (Online):
  • Oral: Scalable Gaussian Processes for Predicting the Optical, Physical, Thermal, and Mechanical Properties of Inorganic Glasses Using Compositions for Large Datasets.
  • Poster: Developing Physics-based Descriptors for Property Prediction in Oxide Glasses.
• International Materials Research Congress - IMRC 2022 (Online)
  • Oral: Developing physics-based models for property prediction in oxide glasses using descriptors.
• International Conference on Learning Representations, 2023 (Offline) - Paper: Enhancing the inductive biases of graph neural ode for modeling physical systems - Workshop (Physics4ML): Learning the dynamics of physical systems with hamiltonian graph neural networks

For more details, please visit his personal website.

Publications