Subodh Joshi

Research Interests

Physics-Informed Machine Learning,
Simulation-based Digital Twins,
Higher-order accurate numerical schemes (esp. for hyperbolic problems),
Computational fluid dynamics (CFD),
Scientific computing,

Education

• M.Tech + PhD dual-degree, Aerospace Enginering, IIT Bombay. (Thesis defended on 23-July-2018)
  Advisor: Prof. Avijit Chatterjee.

• Bachelor of Engineering, Mechanical Engineering, Pune University. (2011)

Other Training

• ACAI summer school on Reinforcement Learning, Nieuwpoort, Belgium. (7-14 October, 2017)

• INRIA autumn school on 'High Performance Numerical Simulation’, Bordeaux, France. (4-8 November, 2019)

• Machine Learning, Stanford University, Coursera Certification (1 June 2021)

• IGP-IWR School on Hardware-Aware Scientific Computing organized by IISc Bangalore, India and IWR - University of Heidelberg, Germany (2021).

Work Experience

(September 2022 - Ongoing) AI Researcher, Machine Learning and AI, Shell Technology Research Center, Bangalore, India

(October 2020 - August 2022) C. V. Raman fellow, Computational Mathematics Group (CMG), Department of Computational and Data Sciences (CDS), Indian Institute of Science (IISc), Bangalore, India

(May 2019 - April 2020) Postdoctoral research fellow, INRIA Bordeaux Sud-Ouest research center and IMB - University of Bordeaux, France (Team CARDAMOM)

(May 2018 - February 2019) Project Research Scientist, Department of Mechanical Engineering - IIT Bombay

(2013-2017) Teaching Assistant at IIT Bombay for the following courses:

• Aerodynamics

• Numerical methods for conservation laws

• Aircraft design

(2011-2013) Teaching Assistant at IIT Bombay for the propulsion lab

Profiles

• LinkedIn profile

• Scicomp Stack Exchange

Contact