Dr. Reza Hassanian
Research Fellow
The Faculty of Industrial Engineering, Mechnaical Engineering and Computer Science
School of Engineering and Natural Scinces (SENS)
University of Iceland
Research interests:
• Numerical Modeling
• Fundamental Physics
• Energy
• Artificial Intelligence
• High Performance Computing
About me
I am a researcher in mechanical engineering applying numerical methods, AI and HPC
Current Projects
- DP4PL: Data-driven and physics-informed learning techniques: for particle-laden turbulent flow
Role: PI of the project - EuroCC 3: Continuation, Build a European Network of 33 National HPC Competence Centers across Europe
Role: Work Package Deputy - EDIH 2.0: Continuation, European Digital Innovation Hubs; Supporting Companies and Public Sector Organizations to Respond to Digital Challenges
Role: Technical Committee - AIFA-ICE: Strengthen the Network of EuroHPC AI Factories
Role: Technical Steering Committee
Selected Publications
- Reza Hassanian, “Proper Orthogonal Decomposition Analysis of Turbulent Energy Spectra within a Lagrangian Particle Tracking Framework”, Journal of Applied and Computational Mechanics, Article in Press, 2025. https://doi.org/10.22055/jacm.2025.48733.5459
- Reza Hassanian, Morris Riedel. “Leading-Edge Erosion and Floating Particles: Stagnation Point Simulation in Particle-Laden Turbulent Flow via Lagrangian Particle Tracking”, Machines 11, no. 5: 566, 2023. https://doi.org/10.3390/machines11050566
- Reza Hassanian, Ásdís Helgadóttir, Farshad Gharibi, Andrea Beck, Morris Riedel. “Data-Driven Deep Learning Models in Particle-Laden Turbulent Flow”, Physics of Fluids, 2025; 37 (2): 023348. https://doi.org/10.1063/5.0251765
- Reza Hassanian, Ásdís Helgadóttir, Lahcen Bouhlali, Morris Riedel. “An Experiment Generates a Specified Mean Strained Rate Turbulent Flow: Dynamics of Particles”, Physics of Fluids, Vol. 35(1), 2023. https://doi.org/10.1063/5.0134306
- Reza Hassanian, Hemanadhan Myneni, Ásdís Helgadóttir, Morris Riedel. “Deciphering the dynamics of distorted turbulent flows: Lagrangian particle tracking and chaos prediction through transformer-based deep learning models”. Physics of Fluids 1 July 2023; 35 (7): 075118. https://doi.org/10.1063/5.0157897
- Reza Hassanian and Morris Riedel. “Buckling Assessment in the Dynamics Mechanisms, Stewart Platform Case Study: In the Context of Loads and Joints, Deflection Positions Gradient” Computation 11, no. 11: 227, 2023. https://doi.org/10.3390/computation11110227
Contact
📮 seh@hi.is
🏤 3rd floor, Groska, Reykjavik 102, Iceland