PhD Students:
Kartick Ramakrishnan (Joined Oct 2020, PMRF Fellow)
Education: B.Tech, Mechanical Engineering, NIT Trichy, 2016
Research Interests: Computational and data driven methods for ab initio material modeling at larger length and time-scales with applications to energy-storage materials, multi-scale modelling, High-performance computing.
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: Hybrid CPU-GPU finite-element based algorithms for large-scale quantum modelling of materials with applications to device materials, Large-scale scientific computing.
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 strategies for accelerating iterative eigenvalue solvers and linear solvers on heterogenous architectures, Communication avoidance approaches for eigenvalue problems.
Srinibas Nandi (Joined Aug 2023)
Education: B.Tech , Chemical Engineering, IIT Delhi, 2021; M.Tech, Chemical Engineering, IISc Bangalore, 2023
Research Interests: Computational Methods for Quantum Modeling of Materials
Read more about Srinibas's work in his webpage
Joint PhD students:
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
MTech course students:
Sayan Dutta (Joined Aug 2022)
Education: MS and MPhil, Mathematics, IIT Bombay, 2022
Dissertation Project Topic: Light-weight Graph Neural Networks for robust atomic force prediction towards accelerated materials discovery.
Sundaresan G (Joined Aug 2022)
Education: B.Tech Mechanical Engineering, NIT Trichy, 2016
Dissertation Project Topic: HPC-centric algorithms for minimizing data movement costs in the solution of large-scale sparse eigenvalue problems.
Nihar Shah (Joined Aug 2023)
Education: B.Tech Mechanical Engineering, Nirma University, 2023
Dissertation Project Topic: Quantum computing based algorithms for solution of large-scale sparse eigenvalue problems.
Rushikesh Pawar (Joined Aug 2023)
Education: B.Tech Mechanical Engineering, College of Engineering Pune (COEP), 2021
Dissertation Project Topic: Graph neural networks for accelerate materials discovery
Other Lab members:
Project Associates:
Kartikeya Srivastava: B.Tech (Mech Eng., BITS Pilani, 2023) (Joined Aug 2022 as intern)
Project Topic: Atomistic modelling of shear transformation zones in metallic glasses
Project Associate Alumni:
Gourab Panigrahi (Project Associate at MATRIX Lab: Sept 2020 - July 2021) [Currently a PhD student at IISc, Bangalore]
Debashis Panda (Project Associate at MATRIX Lab: Sept 2020 - July 2021) [Currently a PhD student at Imperial College, UK]
Kishore Nori (Project Associate at MATRIX Lab: April 2021 - Jan 2022) [Currently a PhD student at Monash University, Australia
MTech Alumni:
Ashish Rout (M.Tech CDS: Aug 2021 - June 2023)
[Reliance Foundation Fellow, Institute Gold Medal for highest CGPA and grade in dissertation project)
[Currently Data Scientist at Target]
Dissertation Project Topic:
Robust lightweight graph neural network-based frameworks for accelerating crystal structure prediction
Sameer Raju Khadatkar (M.Tech CDS: Oct 2020 - June 2022)
[CDS Honorable mention for excellent CGPA and grade in dissertation project)
[Currently Data Scientist at Wells Fargo]
Dissertation Project Topic: