Xiangyu Li

Xiangyu Li is a doctoral student at the Department of Nuclear Science & Engineering, KTH Royal Institute of Technology. His research primarily focuses on nuclear engineering and thermal hydraulics, with a special emphasis on two-phase flow dynamics in porous media, machine learning applications, and reactor safety analysis. He has contributed to studies on debris bed remelting in reactor pressure vessels and optimization of heat exchangers using genetic algorithms.

His work integrates experimental analysis with numerical simulations, addressing challenges such as interfacial drag forces and flow pattern identification through advanced signal processing and SVM classification techniques. While no academic awards are listed, his research has been published in peer-reviewed journals and conference proceedings since 2022.