Metadata
Title
Sashikumaar
Category
undergraduate
UUID
0d3d6874b3b84b13967b62ba5da79246
Source URL
https://cds.iisc.ac.in/faculty/sashi/
Parent URL
https://cds.iisc.ac.in/research-new/computational-science-and-engineering/
Crawl Time
2026-03-23T22:43:11+00:00
Rendered Raw Markdown 
# Sashikumaar

**Source**: https://cds.iisc.ac.in/faculty/sashi/
**Parent**: https://cds.iisc.ac.in/research-new/computational-science-and-engineering/

Professor, IISc Bangalore

Founder, ZenteiQ

Architect, Scientific Foundation Models

## Pro|

[More](#Profile)

## The Journey

Professional Summary

## Prof. Dr. Sashikumaar Ganesan

Prof. Sashikumaar Ganesan is a pioneer in **Scientific Machine Learning (SciML)** and **Physics-AI Integration**. He leads the [AI for Research and Engineering eXcellence (AiREX)](https://airexlab.cds.iisc.ac.in/) lab at IISc, where his team builds the mathematical backbones for next-generation AI.

Bridging academia and national strategy, he is the Founder of [ZenteiQ AiTech Innovations](https://www.zenteiq.ai/). Under his leadership, ZenteiQ was selected by the **Government of India (IndiaAI Mission)** to build India's first **Sovereign Scientific Foundation Models**. ZenteiQ is building a portfolio of 8-80 billion parameter Scientific Foundation Models designed to accelerate R&D in aerospace, defence, and energy.

### Leadership Roles

- Programme Director, Advanced Programs:
  [Gen AI](https://talentsprint.com/course/generative-ai-and-prompt-engineering-iisc),
  [Computational Data Science and AI](https://iisc.talentsprint.com/cds/),
  and
  [AI & MLOps](https://iisc.talentsprint.com/ai-mlops/) (since 2020).
- Chairman, CDS Department, IISc (2018–2024).
- Co-Convenor, Kotak-IISc AI-ML Centre.
- Founding Chair, M.Tech (online). Data Science & Business Analytics.

### Academic Background

- Alexander von Humboldt (AvH) Postdoctoral Fellow,  [Weierstrass Institute for Applied Solutions and Stochastics, Berlin.](https://www.wias-berlin.de)
- [Research Associate,](https://www.wias-berlin.de)  [Dept. of Aeronautics, Imperial College London.](https://www.imperial.ac.uk/aeronautics/)
- Ph.D. (Dr. rer. nat.), Computational Mathematics,  [Otto-von-Guericke University, Germany.](https://www.math.ovgu.de/math/en/Institutes/IAN.html)

\

- Contact:

  [sashi - AT - iisc.ac.in](https://cds.iisc.ac.in/faculty/sashi/mailto~:sashi - A T- iisc.ac.in)
- Phone:
  (+91) 802 293 2902
- Address:\

  Department of Comptational & Data Sciences,\
  Indian Institute of Science, Bangalore.\
  Karnataka, India - 560012\

- Our recent development:

  Try [`pip install fastvpinns`](https://cmgcds.github.io/fastvpinns/_rst/_installation.html)

- Prof. Ganesan advises on AI integration across aerospace, defence, and manufacturing sectors. His work supports the deployment of AI platforms integrating DataOps, MLOps, and LLMOps workflows to strengthen India’s sovereign AI initiatives.

### We aim to build AI systems that not only understand science and engineering but actively contribute to solving scientific challenges.

#### 15+

Years of Experiance

#### 25+

Students Mentored

#### 60++

Published Works

#### 1000+

Professionals Upskilled in AI/ML

## Research

Interests

[AI for Research and Engineering eXcellence (AiREX) Lab](https://airexlab.cds.iisc.ac.in/)is at the forefront of integrating scientific computing with machine learning. Our group's mission is to harmonize the precision of scientific computing with the agility and adaptability of machine learning, paving the way for breakthroughs in both theoretical and applied domains. We delve into:

### Artificial Intelligence (AI)

Focused on developing AI-based recommender systems for combat aircraft, with a special emphasis on emitter classification and multi-sensor data fusion. Additionally, there's a key focus on constructing platform engineering frameworks for the integration of diverse ML models. In the educational sector, the approach includes creating AI-driven predictive models based on learners' activities and developing tools for skill and performance assessments.

### Scientific Machine Learning (SciML)

Our research is centered on integrating advanced parallel computing techniques, especially high-performance (hp) Physics-Informed Neural Networks (PINNs) and GPU acceleration, to enhance computational efficiency and accuracy. By infusing traditional numerical schemes with data-driven approaches, we align our work with the forefront of SciML trends, ensuring a harmonious blend of scientific precision and technological innovation.

### Machine Learning Operations (MLOps)

Crafting scalable ML algorithms suited for diverse computational environments.
Innovating in distributed training techniques and cloud computing applications.
Implementing rigorous ML model and data version control systems.
Establishing efficient CI/CD pipelines for ML deployment and operations.

### Scientific Foundation Models

Moving beyond traditional simulation, we are developing "Intelligent Surrogates"—Large Science Models (LSMs) that learn the laws of physics. This research powers the creation of **Digital Twins** and enables real-time validation for critical engineering systems, directly fueling the innovation engine at ZenteiQ.

## Research

Publications

- All
- Books
- Journal Articles
- Chapters in Books

### Book

|  |
| --- |
| S. Ganesan & L. Tobiska : [Finite Elements: Theory and Algorithms](https://www.cambridge.org/in/academic/subjects/computer-science/algorithmics-complexity-computer-algebra-and-computational-g/finite-elements-theory-and-algorithms?format=HB&isbn=9781108415705). Cambridge University Press, 2017, ISBN: 9781108415705. |

## Teaching

Courses

**Introduction to Computing for AI & Machine Learning, Aug 2022** (2:1), DS 226

".”

**HPCDS:: High-Performance Computing and Data Science (Online CCE course)** Aug 21

HPCDS is a [CCE-PROFICIENCE semester long course](http://cce.iisc.ernet.in/Proficience/index.php)
aimed at students, researchers, and professionals working on computational modeling or Data science applications who wish
to upskill. This course will be organized during evening hours so that regular students
from other institutes/colleges and working professionals can participate without affecting their normal schedule.

**NMSC::Numerical Methods (DS 288) / Introduction to Scientific Computing (UE 201)** Oct 2020

**Finite Elements: Theory and Algorithms(DS 291)**  Oct 2020

**Generative and Agentic AI in Practice**
DS 246: Aug-Dec 2025

This hands-on course explores the engineering and deployment of Generative and Agentic AI systems. Emphasizing practical implementation, students will gain deep experience with LLMs, agent frameworks, RAG architectures,
and fine-tuning techniques. The course also includes a deep technical dive into Transformer architecture and the Model Context Protocol (MCP), enabling students to build high-performance, memory-aware AI applications.
A capstone project ensures real-world integration of the course content.

Schedule: Mon/Wed

**AI and Machine Learning: Aug-Dec 2024**
Online CCE course

AI-ML course is a [CCE-PROFICIENCE semester long course,](http://cce.iisc.ac.in/prof-courses.html)
aimed to upskill students, researchers & working professionals on Computational Thinking with applications to ML/AI and Data Science in a "Learn-by-Doing" approach.
Live lectures will be conducted in the evenings so that regular students from other institutes/colleges and working professionals can participate without affecting their normal schedule.
[CLICK to get the schedule.](https://indianinstituteofscience-my.sharepoint.com/:x:/g/personal/sashi_iisc_ac_in/EUKl4oA0tYlMn-ZPKynJWCQBsKaD-tbg-ymCQhSOWf16_Q?e=CZd5fb)

Admissions open for Aug - Dec 2024 Term. [Apply online!](https://iisc.online/admissions/home.html)

**Introduction to Computing for AI & Machine Learning, Jan - Apr 2023** Credits-3:1, DA 203o

This four-credit course will be offered every year in the Jan-April term as a core course to M.Tech. (Online) programme. This course is aimed at building the foundation of computational thinking with applications to Artificial Intelligence and Machine learning (AI & ML). Besides, how to build a neural network and how to train, evaluate and optimize it with TensorFlow will also be covered in this course.

**Introduction to Computing for AI & Machine Learning, Aug 2022** (2:1), DS 226

".”

**HPCDS:: High-Performance Computing and Data Science (Online CCE course)** Aug 21

HPCDS is a [CCE-PROFICIENCE semester long course](http://cce.iisc.ernet.in/Proficience/index.php)
aimed at students, researchers, and professionals working on computational modeling or Data science applications who wish
to upskill. This course will be organized during evening hours so that regular students
from other institutes/colleges and working professionals can participate without affecting their normal schedule.

**NMSC::Numerical Methods (DS 288) / Introduction to Scientific Computing (UE 201)** Oct 2020

**Finite Elements: Theory and Algorithms(DS 291)**  Oct 2020

**Generative and Agentic AI in Practice**
DS 246: Aug-Dec 2025

This hands-on course explores the engineering and deployment of Generative and Agentic AI systems. Emphasizing practical implementation, students will gain deep experience with LLMs, agent frameworks, RAG architectures,
and fine-tuning techniques. The course also includes a deep technical dive into Transformer architecture and the Model Context Protocol (MCP), enabling students to build high-performance, memory-aware AI applications.
A capstone project ensures real-world integration of the course content.

Schedule: Mon/Wed

**AI and Machine Learning: Aug-Dec 2024**
Online CCE course

AI-ML course is a [CCE-PROFICIENCE semester long course,](http://cce.iisc.ac.in/prof-courses.html)
aimed to upskill students, researchers & working professionals on Computational Thinking with applications to ML/AI and Data Science in a "Learn-by-Doing" approach.
Live lectures will be conducted in the evenings so that regular students from other institutes/colleges and working professionals can participate without affecting their normal schedule.
[CLICK to get the schedule.](https://indianinstituteofscience-my.sharepoint.com/:x:/g/personal/sashi_iisc_ac_in/EUKl4oA0tYlMn-ZPKynJWCQBsKaD-tbg-ymCQhSOWf16_Q?e=CZd5fb)

Admissions open for Aug - Dec 2024 Term. [Apply online!](https://iisc.online/admissions/home.html)

**Introduction to Computing for AI & Machine Learning, Jan - Apr 2023** Credits-3:1, DA 203o

This four-credit course will be offered every year in the Jan-April term as a core course to M.Tech. (Online) programme. This course is aimed at building the foundation of computational thinking with applications to Artificial Intelligence and Machine learning (AI & ML). Besides, how to build a neural network and how to train, evaluate and optimize it with TensorFlow will also be covered in this course.

**Introduction to Computing for AI & Machine Learning, Aug 2022** (2:1), DS 226

".”

## Consultancy

Projects

**ITC Limited**

Confidential.

**Indo-German Partnership Program**

The purpose of this four-year program (2020 - 2024) is to foster hardware-aware numerical schemes and scalable algorithms to harness future multi-node, multi-GPU supercomputers. The key focus is not only developing hardware-aware algorithms but to train young researchers in scientific computing through joint supervision, workshops, summer/winter schools.

Confidential.

**IndiaAI Mission (GoI)**

**Sovereign Scientific Foundation Model.** \
Selected as one of 12 startups to build India's indigenous AI infrastructure. A IndiAI mission initiative to develop an 8-80B parameter models that democratize access to high-fidelity engineering simulations for Indian R&D.

**Shell India**

Large Scale Simultion augmented by AI. This shell industrial project aims to develop a real-time environment-aware simulation of a wind turbine farm through combination of techniques in Deep Learning, Model Order Reduction and High-Performance Computing.

**ITC Limited**

Confidential.

**Indo-German Partnership Program**

The purpose of this four-year program (2020 - 2024) is to foster hardware-aware numerical schemes and scalable algorithms to harness future multi-node, multi-GPU supercomputers. The key focus is not only developing hardware-aware algorithms but to train young researchers in scientific computing through joint supervision, workshops, summer/winter schools.

Confidential.

**IndiaAI Mission (GoI)**

**Sovereign Scientific Foundation Model.** \
Selected as one of 12 startups to build India's indigenous AI infrastructure. A IndiAI mission initiative to develop an 8-80B parameter models that democratize access to high-fidelity engineering simulations for Indian R&D.

**Shell India**

Large Scale Simultion augmented by AI. This shell industrial project aims to develop a real-time environment-aware simulation of a wind turbine farm through combination of techniques in Deep Learning, Model Order Reduction and High-Performance Computing.

**ITC Limited**

Confidential.

## Societal

Impacts

##### COVID-19 Discussion

Video

##### COVID-19 Wave II

3 Apr 2021, Times of India

##### COVID-19 Discussion

Video

##### COVID-19 Projection

16 Jul 2020, Times of India

##### COVID-19 Projection

01 Sep 2020, Times of India

##### COVID-19 Projection

19-25 Jul 2020, The Sunday Guardian

##### COVID-19 Projection

29 Aug 2020, The New Indian Express

##### COVID-19 Projection

14 Jul 2020, Firstpost

##### COVID-19 Projection

14 Jul 2020, The Deccan Herald

##### COVID-19 Projection

23 Oct 2020, Frontline