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Navigating and harnessing the AI storm
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Navigating and harnessing the AI storm

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@biomimetics-iitm
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RahulSundar/README.md

Hi there 👋

I am Rahul Sundar, a MS/PHD scholar in the Department of Aerospace Engineering, Indian Institute of Technology Madras. I am a research assistant in the Biomimetics and Dynamics lab at IIT Madras under Prof Sunetra Sarkar.

As part of my PhD I am passionate about studying forward and inverse Fluid Structure Interaction problems as they offer me the opportunity to go deep and wide in different interconnected topics mentioned below:

  • High Performance Computing
  • Model Order Reduction
  • System Identification
  • Data driven methods for modeling, simulation and control
  • Machine Learning for science and engineering applications
  • Mathematical Modeling and analysis
  • Multiphysical models
  • Nonlinear Dynamics
  • Stochastic processes and dynamical systems

I am studying flapping wing flyers and the associated nonlinear dynamical phenomenon occurring due to the fluid-structure interactions in different regimes of flight and the aerodynamic performance. Although the focus is on flapping wing flyers, the ramifications of the methods developed for such systems extend to microfluidic medical devices, vibrating chimneys, wind energy harvesting, weather forecasting, coupled dynamical systems, etc.

Outside of my PhD specific interests, I am currently interested in

  • Scientific Machine learning for climate science, Robotics, EV, Healthcare, pharma - basically all things - engineering/ interdisciplinary.
  • Generative AI for: (1) science & math & computing, (2) conversational applications, and (3) Content generation and art.
  • Broadly understanding large scale usecases of ML + automation, optimisation and control
  • Learning how to build scalable user-first ML models/systems, and
  • Understanding the schools of thought towards building AGI

Rahul Sundar's github stats

Publications

Journals

  1. "Physics-informed neural networks modeling for systems with moving immersed boundaries: application to an unsteady flow past a plunging foil.", Rahul Sundar, Dipanjan Majumdar, Didier Lucor, and Sunetra Sarkar. arXiv preprint arXiv:2306.13395 (2023). [Submitted to JFS. Under review. ]

Conference Proceedings

  1. "Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients (Preprint)"[An effort on explainability of PINNs for unsteady flows], Rahul Sundar, Didier Lucor,and Sunetra Sarkar. Presented at the 50th International and National Conference on Fluid Machines and Fluid Power, IIT Jodhpur, 2023.
  2. "Massive parallelization and performance enhancement of an immersed boundary method based unsteady flow solver (Preprint)" [Part of FSIS-IBM code base now], Rahul Sundar, Dipanjan Majumdar, Chhote Lal Shah, and Sunetra Sarkar. Presented at the 49th International and National Conference on Fluid Machines and Fluid Power, IIT Roorkee, 2022.
  3. "Surrogate Modeling of unsteady aerodynamic loads acting on a plunging flat plate", Rahul Sundar, Virendra Kumar, Dipanjan Majumdar, Chhote Lal Shah and Sunetra Sarkar. The 8th European Congress on Computational Methods in Applied Sciences and Engineering ECCOMAS Congress 2022
  4. "Computational modeling of stochastic buffeting of fin-like structures", Rahul Sundar, Avisha Ghorpade, Jithin Jith, Sayan Gupta and Sunetra Sarkar,Chapter 22, Recent Advances in Computational Mechanics and Simulations, Proceedings of the ICCMS 2019

Contact

Reach out to me and let me know how I can assist you in making your day brighter and better! I would love to serve/ guide/ collaborate with any passionate individual working/ seeking to work in similar areas or require a skill set that I can offer. Email: rahul.sundar95@gmail.com

Pinned

  1. dlaicourse dlaicourse Public

    Forked from lmoroney/dlaicourse

    Notebooks for learning deep learning

    Jupyter Notebook 1

  2. awesome-machine-learning awesome-machine-learning Public

    Forked from josephmisiti/awesome-machine-learning

    A curated list of awesome Machine Learning frameworks, libraries and software.

    Python 1

  3. CS6910-DeepLearningFundamentals CS6910-DeepLearningFundamentals Public

    This repository contains my assignment submissions including datasets, code, documentation and results.

    Jupyter Notebook 5 3

  4. amaze18/speeKAR amaze18/speeKAR Public

    Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface

    Python 3 2

  5. biomimetics-iitm/CFDDataExtractionTools biomimetics-iitm/CFDDataExtractionTools Public

    This repository shall house the data extraction, inteprolation and other miscellaneous pre processing scripts used for (a) Data storage (b) data post processing and (c) data generation in ML work l…

    Python