I am a second-year CS PhD student at University of Southern California advised by Dr. Oded Stein. My research interests lie in computer graphics, specifically in geometry processing and physics based simulations.

Before my PhD, I completed my MSc from New York University where I worked at the Geometric Computing Lab advised by Dr. Daniele Panozzo. I contributed to the Polyfem library. I also worked on to introduce a high-order finite element formulation using high-order bases for elastodynamic simulation on high-order (curved) meshes.

In the past, I was given an opportunity to do a research internship at The Mathematical Geometry Processing Lab at Freie Universität Berlin mentored by Dr. Sunil Kumar Yadav and advised by Dr. Konrad Polthier. I worked on designing a robust and adaptive method to filter point clouds. I was also a part of the Fields Undergraduate Student Research Program 2020 (FUSRP 2020), where I worked on the problem of mechanism synthesis under the supervision of Dr. Thomas Uchida.

Neural Monte Carlo Fluid Simulation
Pranav Jain, Ziyin Qu, Peter Yichen Chen, Oded Stein
ACM SIGGRAPH, 2024

A systematic comparison between FEBio and PolyFEM for biomechanical systems
Liam Martin , Pranav Jain, Zachary Ferguson, Torkan Gholamalizadeh , Faezeh Moshfeghifar , Kenny Erleben , Denis Zorin, Teseo Schneider, Daniele Panozzo
Computer Methods and Programs in Biomedicine, 2023

High-Order Incremental Potential Contact for Elastodynamic Simulation on Curved Meshes
Zachary Ferguson, Pranav Jain, Denis Zorin, Teseo Schneider, Daniele Panozzo
ACM SIGGRAPH, 2023

Spy Based Analysis of Selfish Mining Attack on Multi-Stage Blockchain
Donghoon Chang, Munawar Hasan, Pranav Jain
Cryptology ePrint Archive, 2019