Aniruddhe Pradhan

Aniruddhe Pradhan is a highly accomplished individual with a strong background in Mechanical Engineering and a focus on areas like Machine Learning for PDEs, CFD using Lattice Boltzmann Methods, Large Eddy Simulation (LES) modeling, and more.

He holds a Ph.D. in Mechanical Engineering with a perfect GPA of 4.0/4.0 from the University of Michigan, where he also completed his Master's degree with the same outstanding GPA.

Aniruddhe's educational journey includes a Bachelor of Technology in Mechanical Engineering from the prestigious Indian Institute of Technology, Kharagpur, where he achieved an impressive CGPA of 9.41/10.0.

With a diverse range of experiences, Aniruddhe has served as a Graduate Research Assistant at the University of Michigan, an Exploratory Design Intern at Apple, and a Visiting Scientist at NASA Ames Research Center.

He has also contributed as a Graduate Student Instructor for courses like Heat Transfer and Fluid Mechanics at the University of Michigan, showcasing his passion for both research and teaching.

Furthermore, Aniruddhe has international exposure through roles like the DAAD WISE Undergraduate Research Fellow at RWTH Aachen University and as an Undergraduate Student Researcher at the Indian Institute of Technology, Kharagpur.

Aniruddhe Pradhan's expertise extends to areas such as Finite Element Methods, High Performance Computing, Message Passing Interface (MPI), and OpenMP, reflecting his strong technical skills and knowledge in the field of Mechanical Engineering.