Research vision and scientific directions

The research in our professorship focuses on developing computational frameworks for multiphysics fluid dynamics, combining rigorous numerical analysis, high-fidelity simulation, and high-performance computing. This work bridges physics, applied mathematics, and computer science to enable predictive modeling of complex fluid dynamical systems. Building on this foundation, our research group develops computational tools to study multiphysics transport phenomena relevant to energy systems, aerospace applications, sustainable transport, hydrogen production, and environmental flows.

The professorship will develop next-generation computational frameworks for predictive simulation and design of multiphysics fluid systems. These efforts integrate mathematical modeling, numerical analysis, and high-performance computing, and increasingly incorporate machine learning to accelerate model development and parameter exploration.

Members in the group will be trained at the intersection of numerical analysis, computational fluid dynamics, and scientific computing, preparing them to address fundamental scientific challenges and develop computational tools for applications in energy, aerospace, and environmental systems.

Prospective Students

The professorship will be established at the Technische Universität München beginning May 2026. We are  interested in working with highly motivated students who wish to pursue fundamental and applied research in computational mathematics, multiscale multiphysics modeling of fluid mechanics and transport phenomena, and high-performance computing.

Prospective PhD students, postdoctoral researchers, master’s students, and undergraduate researchers with strong backgrounds in fluid mechanics, applied mathematics, numerical analysis, scientific computing, or related fields are encouraged to contact Prof. Khanwale by email with a brief description of their interests and experience.