Martand Mayukh Garimella
About Martand Mayukh Garimella
Martand Mayukh Garimella is a Research Engineer specializing in software development and computational fluid dynamics. He has extensive academic and professional experience, including roles at The University of Texas at Dallas and Convergent Science.
Current Role at Convergent Science
Martand Mayukh Garimella serves as a Research Engineer in Software Development at Convergent Science. He has held this position since 2021, contributing to advancements in computational fluid dynamics (CFD) and software development. His work focuses on enhancing the capabilities of CFD tools and methodologies, leveraging his extensive background in mechanical engineering and computational modeling.
Experience at The University of Texas at Dallas
Garimella has a significant history with The University of Texas at Dallas, where he worked in various capacities from 2015 to 2021. He served as a Graduate Teaching Assistant for six years, where he developed and implemented curriculum plans to support student academic growth. Additionally, he was a Graduate Research Assistant during his Ph.D. studies from 2018 to 2021, focusing on computational models for heat transfer and fluid dynamics.
Educational Background
Garimella earned his Bachelor of Engineering in Mechanical Engineering from J.S.S Academy of Technical Education in Bangalore from 2009 to 2013. He continued his education at The University of Texas at Dallas, where he completed his Master of Science in Mechanical Engineering from 2014 to 2016, followed by a Doctor of Philosophy in the same field from 2017 to 2021.
Expertise in Computational Fluid Dynamics
Garimella specializes in building computational models to analyze wall-bounded flows and solve heat transfer and fluid dynamics problems using computational fluid dynamics (CFD). He has developed CFD code using Fortran and conducted workshops on CFD software packages, including Ansys-Fluent, showcasing his technical proficiency in this area.
Skills and Approach
Garimella emphasizes a systematic approach to achieving results in his work. He is known for his punctuality and sincere effort, which contribute to his effectiveness as a researcher and educator. His background includes process engineering skills gained through experimental projects, such as photo-lithography and etching processes.