Sajid Mannan
Research AssociateUniversity of Oxford · United Kingdom
My research focuses on machine learning for glassy materials, including graph neural networks and machine-learned interatomic potentials.
Google Scholar
ORCID
ResearchGate
GitHub
LinkedInResearch interests
- Machine learning for materials modeling and property prediction
- Graph neural network-based interatomic potentials
- Structure and properties of glassy materials
About me
I am a Research Associate in the Machine Learning for Materials Chemistry Lab at the University of Oxford, United Kingdom, under the supervision of Prof. Volker Deringer. My research focuses on developing and applying machine-learning methods for modeling and predicting the structure and properties of glassy materials.
Previously, I was a Prime Minister’s Research Fellow and received my Ph.D. in Civil Engineering from the Indian Institute of Technology Delhi in 2026, under the joint supervision of Prof. N. M. Anoop Krishnan and Prof. Nitya Nand Gosvami. My doctoral research explored graph neural network-based machine-learned interatomic potentials for modeling and simulating glassy materials.
I have also worked as a Visiting Researcher at the University of Jena, Germany, under the supervision of Prof. Dr.-Ing. Lothar Wondraczek. Before my Ph.D., I completed my B.Tech. in Civil Engineering at the National Institute of Technology Hamirpur, Himachal Pradesh.