Hi, my name is

Thivin Anandh

PhD Student

SciML | MLOPs | CFD | FEM | HPC

A researcher exploring the intersection of Scientific Machine Learning, Computational Science, and High Performance Computing to solve complex problems in physics. I'm passionate about developing solutions that bridge traditional scientific computing with modern machine learning, focused on creating practical implementations that can tackle real-world challenges.

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Education Experience Teaching Publications Projects Certifications Achievements Events

About Me

PhD in Computational and Data Sciences at Indian Institute of Science. My research interests include:

Scientific Machine Learning
Physics Informed Neural Networks
High Performance Computing
Finite Element Methods
Computational Fluid Dynamics

I am a Google Certified TensorFlow Developer. During my PhD, I developed CUDA routines in our in-house FEM package ParMooN and led the development of FastVPINNs, an efficient hp-VPINNs implementation in Python. I collaborated with Shell Research India and ITC Research.

Skill Sets

Programming Languages
C++ C Python Matlab
High Performance Computing
MPI OpenMP CUDA pympi OpenACC
Machine Learning
TensorFlow scikit-learn DeepXDE JAX
Scientific Computing
deal.II Gmsh CMake Paraview Pointwise
MLOps
Git DVC Docker GitHub Actions Jenkins
Web Technologies
HTML CSS JavaScript p5.js

Recent Highlights

Post Doc Offer

Received a post doc offer at Brown University from Prof. George Karniadakis

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Publication at CMAME

FastVPINNs paper got Accepted at SIAM Journal sof Scientific Computing.

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Publication at SIAM-SISC

Our Paper on SUPG Stabilisation got accepted at CMAME.

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Education

2018 - 2024
Ph.D in Computational and Data Sciences
Indian Institute of Science, Bangalore
Advisor: Prof. Sashikumaar Ganesan
For more details, please refer here.
  • Finite Element Methods: Theory and Algorithms (Grade A+)
  • Parallel Finite Element Computing (Grade A+)
  • Parallel Programming (Grade A+)
  • Computational Heat Transfer and Fluid Flow (Grade B+)
  • Keyboard player for IISc's Music Band Rhythmica - Video Link
  • Member of CDS Wellness Committee from 2022-2023
2011 - 2015
Bachelor of Engineering (Mechanical)
Anna University, Chennai
GPA: 8.6 out of 10
  • Gold medalist for overall best outgoing student for batch 2011 to 2015
  • NCC: Cadet Under Officer(CUO) and C-Certificate holder.

Experience

Software Engineer - Accenture
Jun 2015 - Jul 2017
I was responsible for developing automated testing routines for a financial product at First Data. During my tenure, I received the following awards:
  • Exide Innovator Award: Recognized for developing an automation routine that reduced man-hours by over 90% and saved the client $3,000 USD annually.
  • ACE - Gold Standard: The highest award at Accenture for excellence in quality and delivery.
Teaching Assistant - Indian Institute of Science
Sep 2020 - Dec 2024
More Info

I have served as a teaching assistant for more than five courses over eight occasions at the Indian Institute of Science. The courses I assisted with include:

  • Finite Element Methods: Theory and Algorithms
  • Numerical Methods
  • Introduction to Artificial Intelligence and Machine Learning
  • Machine Learning Operations (MLOps)

Publications

Improving hp-Variational Physics-Informed Neural Networks for Steady-State Convection-Dominated Problems

Thivin Anandh, Divij Ghose, Himanshu Jain, Pratham Sunkad, Sashikumaar Ganesan, Volker John

Accepted for Publication , Computer Methods in Applied Mechanics and Engineering[CMAME]

Paper arXiv GitHub Project
FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries

Thivin Anandh, Divij Ghose, Himanshu Jain, Sashikumaar Ganesan

Accepted for Publication , SIAM journal of Scientific Computing [SIAM-SISC]

PDF arXiv GitHub Project
FastVPINNs: An efficient tensor-based Python library for solving partial differential equations using hp-Variational Physics Informed Neural Networks

Thivin Anandh, Divij Ghose, Sashikumaar Ganesan

Journal of Open Source Software, 2024

PDF Journal GitHub Project
An efficient hp-Variational Physics Informed Neural Network framework for Incompressible Navier-Stokes equations

Thivin Anandh, Divij Ghose, Ankit Tyagi, Abhineet Gupta, Suranjan Sarkar, Sashikumaar Ganesan

arXiv preprint, 2024

PDF arXiv GitHub Project
On the choice of hyper-parameters of artificial neural networks for stabilized finite element schemes

Subodh M Joshi, Thivin Anandh, Bhanu Teja, Sashikumaar Ganesan

International Journal of Advances in Engineering Sciences and Applied Mathematics, 2021

PDF Journal
Ensemble forecast of COVID-19 in Karnataka for vulnerability assessment and policy interventions

Sashikumaar Ganesan, Deepak Subramani, Thivin Anandh, Divij Ghose, Giridhara R Babu

medRxiv preprint, 2021

PDF medRxiv
Fast and Efficient hp-Variational PINNS framework for solving the Incompressible Navier-Stokes equations

Thivin Anandh, Divij Ghose, Sashikumaar Ganesan

International Conference on Computational Fluid Dynamics (ICCFD-12), 2024, Kobe, Japan

Conference Proceedings
GPU ACCELERATED FEM BASED LAGRANGIAN PARTICLE TRACKING FRAMEWORK FOR HUMAN AIR PATHWAY

Thivin Anandh, Sashikumaar Ganesan

ParCFD-2024, 2024, University Club Bonn, Germany

Conference Proceedings Project Page PDF
A Deep Learning Simulation Framework for Building Digital Twins of Wind Farms: Concepts and Roadmap

Subodh M Joshi, Thivin Anandh, Sashikumaar Ganesan

12th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH-2022), 2024, Lisbon, Portugal

Conference Proceedings Project Page
Computational Ship Hydrodynamics: Modeling and Simulation

Sashikumaar Ganesan, Bhanu Teja, Thivin Anandh

Computational Science and its Applications, 1st edition, 2020

Taylor & Francis

Link

Projects

Academic Projects

Collection of research projects completed during my PhD on Scientific Machine Learning, High Performance Computing , Finite Element Methods and Computational Fluid Dynamics

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GitHub Projects

Collection of Additional projects on AI/ML, HPC, Open-source contributions, Teaching materials, Game development etc.

View GitHub Projects

Certifications

Tensorflow Developer Certificate

Google

Issued: Jan 2024

Credential ID: 92608005

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The Finite Element Method for Problems in Physics

University of Michigan

Issued: Jul 2020

Credential ID: MCXRSFRASFXD

View Credential

Deep Learning

NVIDIA Deep Learning Institute

Issued: Sep 2023

Credential ID: 123456789

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Accelerating Data Engineering Pipelines

NVIDIA Deep Learning Institute

Issued: Feb 2022

Credential ID: 123456789

View Credential

TensorFlow Developer Professional Certificate

DeepLearning.AI

Issued: May 2021

Credential ID: 221640EDEDAC

View Credential

Achievements & Awards

Best Poster Presentation Award (IGHASC)
Oct 2024
Best poster Presentation award at Indo-German conference on Hardware aware Scientific Computing (IGHSAC) held at Heidelberg Germany.
Best Presentation Award (AI/ML Track)
Feb 2024
FastVPINNs: "An Efficient and fast hp-Variational PINNs for large scale simulations" at EECS-2024. Organized by IISc Bangalore.
Best Presentation Award (AI/ML Track)
Feb 2023
FastVPINNs: "Large Scale - AI Augmented simulations for wind farms" at EECS-2023. Organized by IISc Bangalore.
Gold Medalist: Best Outgoing Student
2015
Awarded Gold Medal for obtaining overall best outgoing student for the batch 2011 to 2015 at KEC.

Get in Touch

Email me at: thivinanandh [at] gmail [dot] com