Balaji Srinivasan

About Balaji Srinivasan

Balaji Srinivasan, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Indian Institute of Technology Madras, specializes in the field of Computational Fluid Dynamics, Turbulence, Hyperbolic Conservation Laws, Scientific Computing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A generalized deep learning framework for whole-slide image segmentation and analysis

Distributed learning machines for solving forward and inverse problems in partial differential equations

Modeling the pressure-Hessian tensor using deep neural networks

Abstracting deep neural networks into concept graphs for concept level interpretability

Physics informed extreme learning machine (pielm)–a rapid method for the numerical solution of partial differential equations

Rapid machine learning-based solutions of partial differential equations on complex domains.

Solution of biharmonic equation in complicated geometries with physics informed extreme learning machine

Balaji Srinivasan Information

University

Position

Associate Professor Mechanical Engineering

Citations(all)

1057

Citations(since 2020)

746

Cited By

516

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

22

i10Index(since 2020)

15

Email

University Profile Page

Indian Institute of Technology Madras

Google Scholar

View Google Scholar Profile

Balaji Srinivasan Skills & Research Interests

Computational Fluid Dynamics

Turbulence

Hyperbolic Conservation Laws

Scientific Computing

Machine Learning

Top articles of Balaji Srinivasan

Title

Journal

Author(s)

Publication Date

A generalized deep learning framework for whole-slide image segmentation and analysis

Scientific Reports

Mahendra Khened

Avinash Kori

Haran Rajkumar

Balaji Srinivasan

Ganapathy Krishnamurthi

2021/6/2

Distributed learning machines for solving forward and inverse problems in partial differential equations

Neurocomputing

Vikas Dwivedi

Nishant Parashar

Balaji Srinivasan

2021/1/8

Modeling the pressure-Hessian tensor using deep neural networks

Physical Review Fluids

Nishant Parashar

Balaji Srinivasan

Sawan S Sinha

2020/11/11

Abstracting deep neural networks into concept graphs for concept level interpretability

arXiv preprint arXiv:2008.06457

Avinash Kori

Parth Natekar

Ganapathy Krishnamurthi

Balaji Srinivasan

2020/8/14

Physics informed extreme learning machine (pielm)–a rapid method for the numerical solution of partial differential equations

Neurocomputing

Vikas Dwivedi

Balaji Srinivasan

2020/5/28

Rapid machine learning-based solutions of partial differential equations on complex domains.

Bulletin of the American Physical Society

Vikas Dwivedi

Balaji Srinivasan

2020/3/5

Solution of biharmonic equation in complicated geometries with physics informed extreme learning machine

Journal of Computing and Information Science in Engineering

Vikas Dwivedi

Balaji Srinivasan

2020/12/1

See List of Professors in Balaji Srinivasan University(Indian Institute of Technology Madras)

Co-Authors

H-index: 55
Sam Sukgoo Yoon

Sam Sukgoo Yoon

Korea University

H-index: 26
Anupam Dewan

Anupam Dewan

Indian Institute of Technology Delhi

H-index: 19
Srinivas Kumar V.V.K.

Srinivas Kumar V.V.K.

Indian Institute of Technology Delhi

H-index: 13
Sameen A

Sameen A

Indian Institute of Technology Madras

H-index: 11
Kushal Shah

Kushal Shah

Indian Institute of Science Education and Research, Bhopal

H-index: 10
Rabijit Dutta

Rabijit Dutta

Virginia Commonwealth University

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