Sangeetha Grama Srinivasan

I am a PhD student at the Department of Computer Sciences, University of Wisconsin-Madison. I am fortunate to be advised by Prof. Eftychios Sifakis. My interests lie in the intersection of Physics-based simulation and High-performance computing. I am particularly interested in designing high-scale multi-physics simulations. I also design differentiable physics simulators for physics-based deep learning.

I graduated with a B.Tech in Computer Science from National Institute of Technology Karnataka (NITK), India. Before coming to the US, I also worked for a year at Adobe, India (where my admiration for C++ began).

I love biking in and around Madison. I also like baking and cooking. I make it a point to try out a new recipe whenever I find time!

News

Sep 2022 My paper titled Fluidic Topology Optimization with an Anisotropic Mixture Model is accepted at SIGGRAPH ASIA 2022. Project Link
Aug 2022 Succesfully completed a summer internship at Nvidia. My work is featured here: Youtube Link.
Aug 2021 Succesfully completed a summer internship at Nvidia.
Feb 2021 My paper titled Learning active quasistatic physics-based models from data is accepted at SIGGRAPH 2021. Paper Link

Publications

3. Fluidic Topology Optimization with an Anisotropic Mixture Model

Yifei Li, Tao Du, Sangeetha Grama Srinivasan, Kui Wu, Bo Zhu, Eftychios Sifakis, Wojciech Matusik
Accepted at SIGGRAPH ASIA 2022.


2. Learning active quasistatic physics-based models from data

Sangeetha Grama Srinivasan, Qisi Wang, Junior Rojas, Gergely Klár, Ladislav Kavan, Eftychios Sifakis
Accepted at SIGGRAPH 2021.


1. Trace-Driven Simulation and Design Space Exploration of Network-on-Chip Topologies on FPGA

Sangeetha Grama Srinivasan, Vignesh Radhakrishnan, Prabhu Prasad, Khyamling Parane, Basavaraj Talawar
Accepted at International Symposium on Electronic System Design (ISED) 2018.


Work Experience

[Jun 2020 - Present] Graduate Research Assistant

Secured Research Assistantship to pursue research in Physics-based simulation


[Summer 2021, 2022] Internship @ Nvidia

Secured a summer internship at Nvidia to work on numerical solvers for Physics-based simulation.


[Sep 2019 - May 2020] Graduate Teaching Assistant

Worked as a Teaching Assistant for the Programming III course (CS400) - taught by Prof. Debra Deppeler.


[Jun 2018 - Aug 2019] Software Development Engineer

Worked on ACPLocal (Adobe Content Platform) to sync files across devices (desktop and mobile) in the Cloud Technology team at Adobe, India. Developed a platform agnostic asset upload-download C++ library that can be used by all Adobe products for syncing files on cloud.