Bio


As a prospective researcher, I try to push limits beyond the classical approach, to gain a diverse experience by including academia, core technical lab-based research, and consulting. My area of work is essentially focused on technical interventions, analysis, and recommendations related to industrial energy uses, resource efficiency, decarbonization strategies, and the inception of advanced/new energy systems into the existing infrastructure. The larger aim, being to categorize the feasible against the infeasible.

My doctoral research was conducted on the scope of hydrogen as an alternate fuel/energy in a PEM fuel cell, further aiming at its components, reactant transport abilities, for enhancing system efficiency for improving hydrogen application. This research was particularly influential considering the viability of hydrogen as the next alternative fuel in the energy mix.

Furthermore, understanding the enormous need to address climate change, my attempt is to propel a mutual fix between industrial and academic research by upscaling sustainable awareness.

Honors & Awards


  • Best Paper award, IEMRE 2022, IEEE conference Kolkata, India (2022)
  • Award for performance (quarterly), EY, India (2021)
  • Best Paper award, International Conference AIR 2021, Dehradun. India (2021)
  • Ph.D. Fellowship - Ministry of Higher Education Research and Innovation (MESRI), University of Lorraine, France (2017-2020)
  • Travel Awards for International conferences, University of Lorraine, France (2017-2020)

Professional Education


  • Ph.D, University of Lorraine, Nancy France (LRGP,CNRS), Process and Energy Engineering (2020)
  • Master of Technology, University of Petroleum & Energy Studies (UPES),Dehradun. India, Energy Systems (2016)
  • Bachelor of Engineering, KITS, Nagpur University. India, Mechanical Engineering (2012)

Stanford Advisors


Research Interests


  • Research Methods
  • Technology and Education

Current Research and Scholarly Interests


Global oil and gas production green house gas estimation using an engineered modelling approach.