Assistant Professor at the Mechanical Engineering Department
Dr. Dorrin Jarrahbashi directs the Computational Thermo-Fluids Laboratory at Texas A&M University. She received her Ph.D. in Mechanical & Aerospace Engineering from the University of California, Irvine, and joined the J. Mike Walker ’66 of Mechanical Engineering Department at Texas A&M University as an Assistant Professor followed by her post-doctoral tenure at Georgia Tech. Her research focuses on the fundamental understanding of multiphase flow mixing and combustion to design advanced energy systems through a bottom-up approach from molecular to higher scales. She teaches graduate and undergraduate courses in Thermal-Fluid Sciences.
Prajesh Arvind Jangale
Prajesh started his Ph.D. in the Fall of 2019. His research is focused on computational modeling of breakup and atomization in transcritical flows. His research contributes to the design of injectors in various energy systems operating at supercritical pressures. Prajesh obtained his Masters degree in Mechanical Engineering from the Indian Institute of Technology Bombay, India.
Shadi Shariatnia, PhD
Shadi started her Ph.D. in Mechanical Engineering at Texas A&M University in Summer 2018 and graduated in the Spring of 2021. Her research is focused on the experimental study of nanoparticle spray deposition using supercritical CO2 and controlling nanoparticle morphologies in particle-laden droplets through Atomization. The main goal of her research is to precisely control the mechanical properties of manufactured materials by spraying various nanoparticles. Shadi obtained her Master’s degree in Mechanical Engineering from the University of Houston in 2016.
Rohit Mishra, PhD
Rohit started his Ph.D. in the Spring of 2019 and graduated in the summer of 2023. His research is focused on computational modeling of supercritical oxy-combustion and chemistry mechanism reduction using machine learning. His research contributes to the design of combustors for direct-fired supercritical CO2 power generation cycles and highly efficient 3D reacting flow simulations. Rohit obtained his Master’s degree in Mechanical Engineering from the University of Wisconsin-Madison in 2018.
Sarvesh is an undergraduate Mechanical Engineering student with a minor in Computer Science. His research is focused on utilizing data science and machine learning techniques to improve the accuracy and speed of combustion simulation, specifically within flamelet-based modeling. His research contributes to the expanding use of machine learning within the field of combustion and shows how it can be integrated in order to improve upon existing methods.
Aaron joined Texas A&M University as an undergraduate Mechanical Engineering student in the Fall of 2019. His research is focused on the application of machine learning and neural networks to the reduction of chemistry mechanisms for combustion modeling. His research contributes to a better understanding of combustion processes through computational simulations aided by machine learning.