Seyedshahabaddin Mirjalili

Shahab Mirjalili is an Assistant Professor in Fluid Mechanics in the Department of Engineering Mechanics at KTH Royal Institute of Technology. He joined KTH in January 2025, where he founded and leads the MultiphysX Flow Lab.

His research focuses on developing predictive computational methods for complex interfacial multiphase flows by combining physically consistent mathematical modeling, robust numerical methods, high-performance scientific computing, asymptotic analysis, and scientific machine learning. His work spans diffuse-interface methods, turbulent multiphase flows, reduced-order modeling, and multiphysics transport, with applications in clean-energy conversion and storage, advanced manufacturing, environmental and geophysical flows, and biological and microfluidic systems.

Shahab is affiliated with the Swedish e-Science Research Center (SeRC), where he contributes to the Efficient Simulation Software Initiative, serves on the SeRC management group, and coordinates the FLOW community. He is also a co-PI in the Digital Futures Research Pairs project AI for Clean Energy Conversion: Learning Multiscale Dynamics in Fuel Cell Systems, the FORMAS project UrbExt DT: Digital Twin of Urban Climate Systems, and the KTH strategic research initiative FLUX. In 2026, he received an NVIDIA Academic Grant to develop scalable GPU-accelerated diffusion models for three-dimensional turbulent flow prediction.

Before joining KTH, Shahab was a Research Associate (2022–2024) and Postdoctoral Scholar (2019–2022) at Stanford University. He received his PhD in Mechanical Engineering from Stanford University in 2019 under the supervision of Professor Ali Mani. He also holds an MS in Mechanical Engineering from Stanford University and a BS in Mechanical Engineering from Sharif University of Technology. In 2018, he received the Gallery of Fluid Motion Award from the American Physical Society Division of Fluid Dynamics.