About Hassanian Lab

Fluid Dynamics, Energy & Intelligent Computing · University of Iceland

Connecting physical insight and computational intelligence

Hassanian Lab brings together experimental turbulence research, computational fluid dynamics, particle-laden and multiphase flows, numerical modeling, energy systems, artificial intelligence, advanced control and high-performance computing.

Dr. Reza Hassanian, PI

Dr. Hassanian is a Research Fellow at the University of Iceland. His work combines hands-on experience in large-scale industrial power and turbomachinery fluid-flow projects with research in advanced control, partial differential equations, numerical methods, AI and HPC. His research connects engineering challenges with computational and experimental approaches to complex energy problems.

Education & professional background

Education

• PhD in Engineering | Computational-focused Mechanical Engineering, 09/2024
  University of Iceland (UOI), Iceland
• MSc in Engineering | Mechanical Engineering, 03/2012
  Technical University, Tehran, Iran
• MSc in Engineering | Sustainable Energy Engineering, 12/2021
  Reykjavik University, Iceland
• BSc in Engineering | Mechanical Engineering, 02/2009
  Shahid Chamran University, Iran

Professional Networks and Associations

• European Mechanics Society (Euromech) – Since 2024
• Institute of Electrical and Electronics Engineers (IEEE) – Since 2021, Senior Member
• The European Physical Society (EPS) – Since 2024
• The American Physical Society (APS) – Since 2022

Skill Course

• Masterclass: Non-Equilibrium Turbulence and Cascade Dynamics, DTU, Denmark, 2023
• Air Treatment Technology in Industries, Compressor Design, Faraz Compressor, 2014
• PV Elite & ASME Sec. VIII, Novin Parsian Higher Education Institution, 2010

Teaching

Graduate University Lectures and Accessible on YouTube

2026: CFD & High Performance Computing

• High Performance Computing Short Lecture 8 Computational Fluid Dynamics 2026
• High Performance Computing Short Lecture 9 CFD & Parallel Computing 2026
• High Performance Computing Short Lecture 10 OpenFOAM Software & CFD Applications 2026
• High Performance Computing Short Lecture 11 Deep Sequence Models & CFD Applications 2026
• High Performance Computing Short Lecture 12 Lattice Boltzmann & CFD Applications 2026
• High Performance Computing Short Lecture 13 Transformer Models & CFD Applications 2026

2025: CFD & High Performance Computing

• High-Performance Computing Short Lecture 8 Computational Fluid Dynamics 2025
• High-Performance Computing Short Lecture 9 CFD & Parallel Computing 2025
• High-Performance Computing Short Lecture 10 OpenFOAM Software & CFD Applications 2025
• High-Performance Computing Short Lecture 11 Deep Sequence Models & CFD Applications 2025
• High-Performance Computing Short Lecture 12 Lattice Boltzmann & CFD Applications 2025
• High-Performance Computing Short Lecture 13: Transformer Models & CFD Applications 2025
• High-Performance Computing Short Lecture 15 Green Energy & HPC Applications 2025

Adjunct Lecturer, Lecturer, Senior Lecturer

• University Course: Fluid Mechanics, VÉL502G, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2026
• University Course: Thesis Skills: Project Management, Writing Skills and Presentation, VON001F, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2026
• University Course: High Performance Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2026
• University Course: Fluid Mechanics, VÉL502G, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2025
• University Course: Thesis Skills: Project Management, Writing Skills and Presentation, VON001F, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2025
• University Course: High Performance Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2025
• University Course: Fluid Mechanics, VÉL502G, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2024
• University Course: Selected Topic in Mechanical Engineering, VÉL049F, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2024
• University Course: High Performance Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2024
• University Course: Selected Topic in Mechanical Engineering, VÉL049F, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2023
• University Course: Fluid Mechanics, VÉL502G, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2023
• University Course: Computational Fluid Dynamics, VÉL217F, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2023
• University Course: High Performance Computing, REI204M, School of Engineering and Natural Sciences, University of Iceland, Iceland, Spring 2023
• University Course: Fluid Mechanics, VÉL502G, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2022
• University Course: Fluid Mechanics, VÉL502G, School of Engineering and Natural Sciences, University of Iceland, Iceland, Fall 2021
• University Course: Wind Power, SE-832-WE2, Engineering School, Reykjavik University, Iceland, Spring 2019

Academic roles

• Research Fellow, School of Engineering and Natural Sciences (SENS), University of Iceland
• Principal Investigator (PI), School of Engineering and Natural Sciences (SENS), University of Iceland
• Head of Simulation and Data Lab, Computational Fluid Dynamics, National Competence Center for HPC & AI in Iceland
• Lecturer and Co-Instructor, School of Engineering and Natural Sciences (SENS), University of Iceland
• Doctoral Board, School of Engineering and Natural Sciences (SENS), University of Iceland
• Co-advisor MSc thesis in Engineering, School of Engineering and Natural Sciences (SENS), University of Iceland

Talks

Plenary Lecture or Keynote Address at an International Academic Conference

• A Practical Investigation of Wind Turbine Blade Erosion and Particle-laden Flows, Invited Speaker, Second International Conference on Physics and its Applications, July 17-19, 2023, Los Angeles, CA.

Lecture at an International Conference

• Proper Orthogonal Decomposition of Turbulent Flow for Lagrangian Particle Tracking, Mathematical Modeling in Physical Sciences. ICMSQUARE 2025. Springer Proceedings in Mathematics & Statistics
• Reconstructing Sparse Elements in Sequential Data: Application to Wind Velocity, The IEEE 11th International Conference on Signal Processing & Intelligent Systems, 24-25 December 2025
• Integrating remote sensing and deep learning forecasting model: A fluid-environment interface study, The IEEE 9th International Symposium on Innovative Approaches in Smart Technologies, Jun 27-28, 2025, Gaziantep, Türkiye
• A Transformation Matrix Explains the Sequential Forecasting Data-Driven Deep Learning Model. IEEE International Conference on Computer and Applications (ICCA2024), December 17-19, 2024, Cairo, Egypt.
• Eulerian-DL Forecasting of Wind Turbulence for Wind Turbines: Enabling Smart Sustainable Energy. IEEE International Conference on Engineering and Emerging Technologies (ICEET2024), December 27-28, 2024, Dubai, UAE.
• The capability of recurrent neural networks to predict turbulent flow via spatiotemporal features, The IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC 2022), July 6–9, 2022, Reykjavik, Iceland.
• A wake loss model asymmetry induced by the circulation of a vertical axis wind turbine, IEEE International Conference on Future Energy Solutions, FES2023, June 12-14: 2023, Vaasa, Finland.
• Vertical Axis Wind Turbine Powers Telecom Towers: Green and Clean Configuration, The IEEE 6th International Conference on Electrical Engineering and Green Energy, CEEGE2023, June 6-9, 2023, Grimstad, Norway.
• Prediction of Inertial Particle Acceleration Variations in Particle-Laden Turbulent Flow: DL-Based Model, 2nd European Fluid Dynamics Conference (EFDC2), 26-29 August, 2025, Dublin, Ireland.
• Deep learning model capable of simulating the inertial particle path in particle-laden turbulent flow. 5th International Conference on Numerical Methods in Multiphase Flows (ICNMMF-5), July 26-28, 2024, Reykjavik, Iceland.
• Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing. 33rd Parallel Computational Fluid Dynamics (ParCFD2022). Alba, Italy, 2022.
• Proposed hybrid two-stage DL-HPC method for wind speed forecasting: using the first average forecast output for long-term forecasting, IACM Computational Fluids Conference, CFC2023, April 25-28, Cannes, France, 2023.
• Lattice Boltzmann Method Speedup via Computing Accelerating Compiler and Parallel Computing: Flow over Cylinder with High Reynolds, 34th International Conference on Parallel Computational Fluid Dynamics, ParCFD2023, May 29-31: Cuenca, Ecuador, 2023.
• Leading edge erosion and particle-laden turbulent flow: effects of the turbulence intensity and presence of gravity, 9th International Conference on Physics, Mathematics, and development of basics, September 16, 2025
• Intelligent Industrial Power Demand Forecasting Using Bidirectional LSTM Networks. IEEE 4th International Conference on Cognitive Models and Artificial Intelligence Conference, 24-25 April 2026, Prague, Czech Republic

Lecture at the International Workshop

• TurboFlowML project, Large industry turbomachinery intelligent monitoring and maintenance, 21st Icelandic HPC Community, Reykjavik (Invited Speaker), 2025.
• Founding Startup, DEEPELITE OU: A journey via Idea into energy application smart system on FreaEnergy, 15th Icelandic HPC Community, Reykjavik (Invited Speaker), 2024.
• The role of HPC in CFD, 1st Icelandic HPC Community, Reykjavik (Invited Speaker), 2020

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