Ali Khosravi

Ali Khosravi is an Associate Professor at the University of Southern Denmark (SDU), affiliated with the Institute of Mechanical and Electrical Engineering and SDU Mechatronics (CIM). His work focuses on integrating machine learning with energy systems, particularly in the areas of power-to-X technologies, renewable energy optimization, and thermodynamic systems.

Research Interests:

• Machine learning applications in energy systems
• Power-to-X technologies (methanol, hydrogen)
• Thermodynamic analysis and optimization
• Renewable energy integration and storage
• Solid oxide fuel cells (SOFC) and electrolysis systems

His recent publications span high-impact journals such as Energy, Renewable Energy, and International Journal of Hydrogen Energy, focusing on topics like methanol production from CO₂ and solar hydrogen, stochastic modeling for energy systems, and AI-driven optimization of fuel cell systems.

Scientific Awards:

• Villum Young Investigator Grant (2023)
• Listed among World's Top 2% Scientists in Energy (2021, 2022)
• Postdoctoral Fellowship Award (2018)
• PhD Scholarship Award (2016)

Teaching & Supervision:

• Course instructor for "Mechanical Semester Project 3"
• Supervisor for Special Course in Mechanical Engineering
• PhD supervision: M. Lautenschläger, M. Taslimi, N. Mirzakhani, L. Xia, and others

Research Labs & Teams:

He leads the DDPTX: Deciphering the Dynamics of Power-to-X Systems project (2024–2029), funded by Villum Fonden, and actively participates in several international collaborations including the Denmark & Australian Partnership on Green Hydrogen Value Chains and GREMEOH-Power-to-X.