Pratanu Roy
About Pratanu Roy
Pratanu Roy is a Staff Scientist at Lawrence Livermore National Laboratory, recognized for developing optimization techniques that significantly enhance computational efficiency. He holds a PhD in Mechanical Engineering from Texas A&M University and has contributed to various research initiatives throughout his career.
Work at Lawrence Livermore National Laboratory
Pratanu Roy has been a Staff Scientist at Lawrence Livermore National Laboratory since 2017. In this role, he co-led both Directorate and Lab-wide Mentorship programs, contributing to the professional development of staff and fostering a collaborative environment. Prior to his current position, he worked as a Postdoctoral Researcher at the same laboratory from 2014 to 2017, where he focused on advanced computational techniques. His contributions include the development of optimization techniques and machine learning solvers, enhancing the laboratory's research capabilities.
Education and Expertise
Pratanu Roy earned his Doctor of Philosophy (PhD) in Mechanical Engineering from Texas A&M University, where he studied from 2008 to 2014. His academic background also includes a Bachelor of Science (B.Sc.) in Mechanical Engineering from Bangladesh University of Engineering and Technology, completed from 2002 to 2007. Additionally, he obtained a Higher Secondary School Certificate from Notre Dame College and a Secondary School Certificate from St. Joseph Higher Secondary School. His expertise lies in optimization techniques, computational fluid dynamics, and machine learning applications in engineering.
Research and Development Contributions
Pratanu Roy has made significant contributions to research and development in computational methods. He developed an optimization technique for predicting moisture sorption parameters, achieving a speedup of up to 300 times. He also created a parallel, non-linear multigrid algorithm for an incompressible Navier-Stokes solver, resulting in a two orders of magnitude reduction in computation time. His work on machine learning solvers using Physics Informed Neural Networks (PINNs) with Python JAX libraries has further advanced the field of solving differential equations in engineering contexts.
Previous Experience at Texas A&M University
Before his tenure at Lawrence Livermore National Laboratory, Pratanu Roy was involved in various roles at Texas A&M University. He served as a PhD student from 2008 to 2014, during which he conducted extensive research in mechanical engineering. Additionally, he worked as a Graduate Teaching Assistant for four months in 2013 in the Department of Mechanical Engineering, where he supported faculty and assisted students in their learning.
Early Career at Bangladesh University of Engineering and Technology
Pratanu Roy began his academic career as a Research Assistant at Bangladesh University of Engineering and Technology from 2007 to 2008. In this role, he contributed to various research projects in mechanical engineering, gaining valuable experience that laid the foundation for his future studies and professional endeavors.