Kartick Ramakrishnan   (Joined Oct 2020, PMRF Fellow)

Education: B.Tech, Mechanical Engineering,  NIT Trichy, 2016

Research Interests: Development of computational and data driven methods for ab initio material modeling at larger length and time-scales, Applications to energy-storage materials,  Multi-scale modelling methodologies , High-performance computing, Lead developer of Gordon Bell Prize winning DFT-FE open-source code.

Read more about Kartick's work in his webpage

Nikhil Kodali   (Joined Aug 2021, PMRF Fellow, Previously CSIR Fellow)

Education: B.Tech, Electrical Engineering,  IIT Bombay, 2017

Research Interests:   Novel finite-element based computational methods for large-scale quantum modelling of materials incorporating magnetism and spin-orbit coupling,   Applications to ab initio modeling of device materials,  Mixed precision eigensolvers, Large-scale scientific computing, Quantum Computing based algorithms, Lead developer of Gordon Bell Prize winning DFT-FE open-source code.

Read more about Nikhil's work in his webpage

Gourab Panigrahi   (Joined Aug 2021, PMRF Fellow)

Education: B.S & M.S, Physics,  IISc Bangalore, 2019

Research Interests: Hardware-aware matrix-free algorithms for accelerating iterative eigenvalue solvers and linear solvers on heterogenous architectures, Applications to solvers employed in quantum modeling of materials,  High-performance computing, Low-level CUDA kernel programming on modern GPU architectures, Contributor to Gordon Bell Prize winning DFT-FE open-source code.

Read more about Gourab's work in his webpage

Srinibas Nandi   (Joined Aug 2023)

Education: B.Tech , Chemical Engineering, IIT Delhi, 2021;  M.Tech, Chemical Engineering,  IISc Bangalore, 2023

Research Interests: Fast and scalable computational methods for solving non-linear eigenvalue problems with applications to material modelling using density functional theory, Contributor to Gordon Bell Prize winning DFT-FE open-source code

Read more about Srinibas's work in his webpage

Nishant Gupta   (Joined Jan 2025)

Education: B.Tech , Chemical Engineering, NIT Hamirpur, 2020;  M.Tech, Chemical Engineering,  IISc Bangalore, 2022

Research Interests: HPC and AI accelerated methods for ab initio calculations

Raj Maddipati   (Joined Oct 2020 with Prof. Konduri Aditya)

Education: MTech, Aerospace Engineering, IIT Kanpur, 2020

Research Interests: Multiscale modeling, Reactive molecular dynamics, combustion physics

Nihar Shah (Joined Aug 2023)

Education: B.Tech Mechanical Engineering, Nirma University, 2023

Dissertation Project Topic: Quantum computing based algorithms for large sparse eigenvalue problems.

Rushikesh Pawar (Joined Aug 2023)

Education: B.Tech Mechanical Engineering, College of Engineering Pune (COEP), 2021

Dissertation Project Topic: Test time domain adaptation frameworks using equivariant graph neural networks for accelerated materials discovery.

Harshit Rawat (Joined Aug 2024)

Education: BS Mathematics and Physics, IIT Kanpur, 2023

Dissertation Project Topic: Novel fine-tuning and distillation strategies with graph neural networks for accelerated materials discovery

Naman Pesricha (Joined Aug 2024)

Education: B.Tech Mechanical Engineering, IIT Roorkee, 2023

Dissertation Project Topic: Parallel Algorithms for Tensor Decompositions 

Webpage: https://pesricha.github.io/