Highlights

Continuum Mechanics, Semester Period: 1st January–20th April 2018, Center for Applicable Mathematics, Tata Institute of Fundamental Research, Bangalore (for undergraduate, graduate, and postgraduate students, including Master and PhD students). 

Computer Science II, Semester Period: 1st January–18th April 2017, Indian Statistical Institute, Bangalore (for undergraduate students). Here, I worked as a teaching assistant. 

Continuum Mechanics, Semester Period: 1st January–20th April 2017, Center for Applicable Mathematics, Tata Institute of Fundamental Research, Bangalore (for undergraduate, graduate, and postgraduate students, including Master and PhD students).

Aerospace/Mechanical Engineering courses ( 2009 - 2014) : Engineering Mathematics, Aerodynamics, Rocket and Aircraft Propulsion, Aircraft structural dynamics, Mechanical Vibration, Fluid/Solid Mechanics, Thermodynamics (For the All India level GATE examination in Aerospace Engineering, undergraduate students ). 

Outstanding Reviewer of the year 2020, Pramana - Journal of Physics (Springer),  Indian Academy of Sciences.

Division of Applied Mathematics, Brown University, USA, Postdoctoral Research Associate Funding.

Tata Institute of Fundamental Research - Centre for Applicable Mathematics (TIFR-CAM), India, Postdoctoral Fellowship.

DAAD (German Academic Exchange Service) funding for research visits (2012 and 2013).

Ministry of Human Resource and Development, Govt. of India fellowship for pursuing Master of Engineering and PhD degrees.

GATE 2008 (Aerospace Engineering) :  All India Rank - 28

Neural Networks, Elsevier (IF: 7.8) [Journal Link]

Neurocomputing, Elsevier (IF: 6.0)  [Journal Link]

Journal of Machine Learning Research (IF: 5.177) [Journal Link]

Frontiers in Neuroinformatics (IF:  3.5)  [Journal Link]

Frontiers in Computational Neuroscience (IF:  3.2) [Journal Link]

U.S. Department of Energy, Office of Science (2023):  Reviewed 3 proposals

Natural Sciences and Engineering Research Council of Canada (NSERC) Discovery Grant proposal (2022-2023)

Swiss National Science Foundation, Switzerland (2023)

Agency for Science, Technology and Research (A*STAR), Singapore (2023)

Nature Machine Intelligence

ICLR 2024

IEEE Transactions on Pattern Analysis and Machine Intelligence

IEEE Transactions on Neural Networks and Learning Systems

Proceedings of the  IEEE

Scientific Data (Nature)

IEEE Transactions on Industrial Informatics

Swarm and Evolutionary Computation  (Elsevier)

Neural Networks (Elsevier)

International Journal of Numerical Methods in Engineering (Wiley)

Engineering Applications of Artificial Intelligence (Elsevier)

Journal of Scientific Computing (Springer)

Computer Methods in Applied Mechanics and Engineering (Elsevier)

SIAM Journal on Scientific Computing (SISC)

Scientific Reports (Nature Portfolio) 

Journal of Computational Physics (Elsevier) 

IMA Journal of Numerical Analysis (Oxford Academic)

International Journal of Heat and Mass Transfer (Elsevier)

Soft Computing (Elsevier)

SIAM Journal on Numerical Analysis (SINUM)

Applied Soft Computing (Elsevier)

International Journal of Computational Methods (World Scientific)

Expert Systems with Applications (Elsevier)

Applied Intelligence (Springer)

Cancers

Physical Review Fluids (APS) 

Computers & Mathematics with Applications (Elsevier)

Frontiers in Neurorobotics

Journal of the Mechanics and Physics of Solids (Elsevier)

IEEE Control Systems Letters

Batteries

Automation in Construction (Elsevier)

Journal of Machine Learning Research

Communications in Computational Physics (Global Science Press)

Journal of Computational Science (Elsevier)

Current Oncology

Journal of Industrial and Management Optimization, AIMS

Fractal and Fractional 

Chaos, Solitons & Fractals (Elsevier)

Journal of Quantitative Spectroscopy & Radiative Transfer (Elsevier)

International Journal for Numerical Methods in Fluids (Wiley)

Wave Motion (Elsevier)

Entropy 

Journal of Machine Learning for Modeling and Computing

Pramana, Journal of Physics (Springer)

Electronics 

International Journal for Multiscale Computational Engineering

Communications in Mathematical Research (Global Science Press)

Symmetry 

Journal of Computational and Applied Mathematics (Elsevier)

IET Electric Power Applications (Wiley)

Computation 

Computers & Fluids (Elsevier) 

Advances in Computational Mathematics (Springer) 

Mathematics 

Journal of Peridynamics and Nonlocal Modeling (Springer Nature)

AIMS Mathematics

International Journal of Electrical Power & Energy Systems (Elsevier)

Neural processing letters (Springer)

Heliyon (Elsevier)

Fluids

Journal of Machine Learning (Global Science Press)

Algorithms 

Journal of Thermal Stresses (Taylor & Francis)

Biomedicines 

Neurocomputing (Elsevier)

AIMS Neuroscience

CFD Letters

Automation

Journal of Applied Analysis and Computation (http://jaac.ijournal.cn/)

Science and Technology of Nuclear Installations, Hindawi

Diagnostics 

Mechanical Systems and Signal Processing (Elsevier)

Networks and Heterogeneous Media, AIMS press

Applied Sciences

Indonesian Journal of Electrical Engineering and Computer Science

Methods and Protocols

Journal of Imaging 

Machines 

Mathematical Sciences Departmental Colloquium, WPI, USA.  (April 12, 2024). 

Physics-Informed Neural networks and Neural Operator Networks: Methods and Applications, Oak Ridge National Laboratory, USA. (February 8, 2024)  (Flyer)

Phi-ML meets Engineering, The Alan Turing Institute, UK.  (February 1, 2024) (Flyer)

A physics-informed neural network-based solution to inverse problems in high-speed fluid flows, International Symposium on Recent Trends in Numerical Methods, IIT Kanpur, India.  (January 21, 2024)

Physics-Informed Deep Learning: Methods and Applications in Scientific Computing, Worcester Polytechnic Institute, USA.  (January 10, 2024)

Physics-Driven Deep Learning Methods for Scientific Computing, 5th International Conference on Mathematical Techniques and Applications (ICMTA-2024), SRM, India. (January 3, 2024)

Physics-Informed Deep learning: Merging Data with Physics, Shell .ai, Aryabhata Series, Shell Technology Center Bangalore, India, Oct. 20, 2023 (Flyer)

Short Course on Physics-Informed Deep Learning at TIFR-CAM, Bengaluru, India (18 Oct.  2023) [Link]

Scientific Machine Learning through the Lens of Physics-Informed Neural Networks, Lawrence Livermore National Laboratory, April 14, 2023. 

Scientific Machine Learning through the Lens of Physics-Informed Neural Networks, SankhyaSutra Labs, India,  Feb. 24, 2023.  (Flyer)

Physics-Informed Neural Networks for Inverse Problems in Supersonic Flows, Theoretical Division, Los Alamos National Laboratory, USA Oct. 24, 2022 

Artificial Neural Networks for scientific computations: Embedding physics and data, The University of Texas at El Paso (UTEP), USA, Oct. 21, 2022.

Physics-Informed Neural Networks for Scientific Computations: Algorithms and Applications, BIMSA-Tsinghua seminar on Machine Learning and Differential Equations, Yanqi Lake Beijing Institute of Mathematical Sciences and Applications, and Tsinghua University, China, Oct. 12, 2022. (Flyer)

Physics-Informed Machine Learning: Merging Data and Physics, High-Performance Computing and AI Predictive Tools in Fluids and Thermal, NIT Rourkela, India, July 26, 2022.

Physics-Informed Machine Learning for scientific computations: Recent Advances and Applications, Theoretical Division, Los Alamos National Laboratory, USA, May 20, 2022.

Physics-Informed Neural Networks: A new paradigm for learning physical laws, Conference on PDE and Numerical Analysis, Tata Institute of Fundamental Research - Center for Applicable Mathematics, Bengaluru, India, April 30, 2022. (Link)

Physics-Informed Machine Learning for scientific computations: Recent Advances and Applications, LANS Seminar, Argonne National Laboratory, USA, February 23, 2022. (Flyer)

Physics-Informed Machine Learning for scientific computations, ECE Colloquium Series, University of Connecticut, USA, November 19, 2021.

Scientific Machine Learning: From PINNs to eXtended PINNs (XPINNs), SRM University, India, September 11, 2021. (Flyer) 

A Generalized Space-Time Domain Decomposition based Extended Physics-Informed Neural Networks for partial differential equations: Method and Implementation, Carnegie Mellon University, USA, June 17, 2021.

Parallel Physics-Informed Neural Networks via Domain Decomposition, Seminars of the Interdisciplinary Area of Computational Engineering and Science, COPPE/Federal University of Rio de Janeiro, Brazil,  June 10,  2021.  (Poster)

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations,  AI Chair OceaniX Webinars 2021, IMT Atlantique, Brest, France, March 24, 2021.

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations,  AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning in Physics  Sciences, Stanford University, Palo Alto, California, USA, March 22, 2021.

Hyperbolic Conservation Laws: General Introduction and Numerical Solution, Instructional School for Teachers on “ PDE: Theory and Computation”, Department of Mathematics, Indian Institute of Science, Bengaluru, India (August 4, 2018).

Higher Order Spectral Method of Relaxed Streamlined-Upwinding for Nonlinear Conservation Law, Computational Science Symposium (CSS 2017), Centre for Data Science, Indian Institute of Science, Bengaluru. India (March 18, 2017).

Stabilized Finite Element Schemes for Hyperbolic Conservation Laws, Tata Institute of Fundamental Research -  Center for Applicable Mathematics, Bengaluru, India (August 18, 2016).

Mathematical Modeling and Computer Simulation of Physical Systems, St. Vincent Palloti Engineering College, Nagpur, India (Sept. 24, 2015).

Differential Equations for Aerospace Engineers, Priyadarshani College of Engineering, Nagpur, India (Dec. 30, 2013).

Level-Set Based eXtended FEM method, Institute fur Statik, Technical University of Braunschweig, Germany (April 26, 2012).