Ashwin Raghavan
About Ashwin Raghavan
Ashwin Raghavan is a Computational Scientist at ExxonMobil with expertise in computational fluid dynamics and thermodynamics, focusing on oil field reservoir simulations.
Current Title and Role
Ashwin Raghavan is a Computational Scientist at ExxonMobil since 2019. Based in Spring, Texas, he develops advanced physics modeling capabilities for the company’s next-generation reservoir simulator. His work focuses on computational fluid dynamics and thermodynamics, applied specifically to oil field reservoir simulations.
Professional Experience
Prior to his current role, Ashwin Raghavan had multiple research-based positions. He served as a Summer Research Intern at ExxonMobil in Houston, TX, in 2015. Earlier, he worked at the Massachusetts Institute of Technology (MIT) as a Doctoral Researcher from 2013 to 2019 and as a Graduate Research Assistant from 2011 to 2013. He also gained experience as a Summer Research Fellow at the University of Toronto in 2010.
Education and Academic Background
Ashwin Raghavan completed his doctoral studies in Mechanical Engineering at the Massachusetts Institute of Technology (MIT) from 2013 to 2019. Before that, he achieved his Master's degree in Mechanical Engineering from MIT between 2011 and 2013. He obtained his Bachelor of Technology (B.Tech.) in Mechanical Engineering from the Indian Institute of Technology, Bombay, from 2007 to 2011.
Field of Expertise
Ashwin Raghavan has a strong focus on computational fluid dynamics and thermodynamics. His expertise is particularly applied to the simulation of oil field reservoirs. He has a deep interest in energy industry applications and scientific software development, contributing significantly to advancements in reservoir simulators at ExxonMobil.
Projects and Research
During his tenure at ExxonMobil, Ashwin Raghavan has been involved in developing advanced physics modeling capabilities for the company’s next-generation reservoir simulator. This work is instrumental in enhancing the accuracy and efficiency of oil field reservoir simulations, leveraging his expertise in computational fluid dynamics and thermodynamics.