Aniruddhe Pradhan

Aniruddhe Pradhan is a PhD candidate at the University of Michigan with a focus on Machine Learning (ML) for PDEs and Computational Fluid Dynamics (CFD).14 His research interests extend to CFD using Lattice Boltzmann Methods.4

Academic Background

Pradhan's educational journey at the University of Michigan includes:

• PhD student (ongoing)3
• MS student (started in 2016)3
• Previously completed his undergraduate studies3

Research and Publications

Pradhan has made significant contributions to his field:

• Part of his PhD work was published in the Journal of Fluid Mechanics in January 20232
• His research focuses on scale-resolving techniques in fluid mechanics2

Professional Profile

Pradhan maintains an active presence in the academic and professional community:

• He has an ORCID profile (0000-0002-1905-184X) which showcases his academic credentials4
• His work is recognized on platforms like OpenReview, indicating involvement in peer review processes3

Pradhan's expertise in advanced computational methods and fluid dynamics positions him as a promising researcher in his field, with a growing body of work that bridges theoretical concepts with practical applications in engineering and physics.