Publications

• Reza Hassanian, Morris Riedel. “Wind Velocity Reconstruction over Short Spatial Scales Based on Atmospheric Turbulence Coherence”, Physics of Fluids. 2026. Submitted
• Reza Hassanian, Gabriele Cavallaro, Ásdís Helgadóttir, Olafur Petur Palsson, Jon Atli Benediktsson, Morris Riedel, “A Decomposition-Based Sequential Deep Learning Model for Time Series Forecasting: SSD-GRU for Wind Data”, Energy and AI, 2026, Submitted
• 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, 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, Nashmin Yeganeh, Ásdís Helgadóttir, Runar Unnthorsson and Morris Riedel. “Data-driven deep learning model for predicting ambient temperature: environment and solar energy”, Environmental Research Communications, 7, 055006, 2025. https://doi.org/10.1088/2515-7620/add3d1
• Reza Hassanian, Abdollah Shahinfar, Ásdís Helgadóttir and Morris Riedel.“Optimizing Wind Energy Production: Leveraging Deep Learning Models Informed with On-Site Data and Assessing Scalability through HPC” Acta Polytechnica Hungarica, no. 21: 9, 2024. https://doi.org/10.12700/APH.21.9.2024.9.4
• Reza Hassanian, Marcel Aach, Andreas Lintermann, Ásdís Helgadóttir and Morris Riedel. “Turbulent Flow Prediction-Simulation: Strained flow with Initial Isotropic Condition Using a GRU Model Trained by an Experimental Lagrangian Framework, with Emphasis on Hyperparameter Optimization” Fluids 9, no. 4: 84, 2024. https://doi.org/10.3390/fluids9040084
• Reza Hassanian, Nashmin Yeganeh, and Morris Riedel. 2024. “Wind Velocity and Forced Heat Transfer Model for Photovoltaic Module” Fluids 9, no. 1: 17, 2024. https://doi.org/10.3390/fluids9010017
• 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, 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, Morris Riedel. “Iceland Wind Farm Assessment Case Study and Development: An Empirical Data from Wind and Wind Turbine”, Cleaner Energy Systems, Vol. 4, 100058, 2023. https://doi.org/10.1016/j.cles.2023.100058
• 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
• Reza Hassanian, Ásdís Helgadóttir, Morris Riedel. “Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU”, Fluids, 2022, 7(11), 344. https://doi.org/10.3390/fluids7110344
• Reza Hassanian, Morris Riedel, Ásdís Helgadóttir, Nashmin Yeganeh, Runar Unnthorsson. “Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model” Thermo. 2022; 2(1):39-55. https://doi.org/10.3390/thermo2010004
• Reza Hassanian, Morris Riedel, Nashmin Yeganeh, Runar Unnthorsson. “A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data”. Solar. 2021; 1(1):41-51. https://doi.org/10.3390/solar1010005

• Reza Hassanian, Morris Riedel, “An LSTM Autoencoder-Based Method for Early Anomaly Detection in Centrifugal Pumps in Petrochemical and Refinery Plants”, The IEEE 10th International Conference on Power Energy Systems and Applications, July 27-30, Munich, Germany, Submitted
• Reza Hassanian, Ingolfur Hjorleifsson, Morris Riedel. “Intelligent Industrial Power Demand Forecasting Using Bidirectional LSTM Networks”. IEEE International Conference on Cognitive Models and Artificial Intelligence Conference, 24-25 April 2026, Prague, Czech Republic, Accepted.
• Reza Hassanian, Morris Riedel, “Proper Orthogonal Decomposition of Turbulent Flow for Lagrangian Particle Tracking”, In: Vlachos, D., Thomakos, D. (eds) Mathematical Modeling in Physical Sciences. ICMSQUARE 2025. Springer Proceedings in Mathematics & Statistics, Article in Press. Springer, Cham.
• Reza Hassanian, Ásdís Helgadóttir, Sigrun Helga Lund, Morris Riedel, “Reconstructing Sparse Elements in Sequential Data: Application to Wind Velocity”, The IEEE 11th International Conference on Signal Processing & Intelligent Systems, 24-25 December 2025. Article in Press.
• Reza Hassanian, Gabriele Cavallaro, Morris Riedel, “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. https://doi.org/10.1109/ISAS66241.2025.11101766
• Thor Curtis, Reza Hassanian et al., “Improving Surface Soil Moisture Estimation with Distributed Deep Learning and HPC”, The IEEE 48th ICT and Electronics Convention, Opatija, Croatia, 2025, pp. 1222-1227. https://doi.org/10.1109/MIPRO65660.2025.11131987
• Reza Hassanian, Ásdís Helgadóttir and Morris Riedel. “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. https://doi.org/10.1109/ICCA62237.2024.10928055
• Reza Hassanian and Morris Riedel. “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. https://doi.org/10.1109/ICEET65156.2024.10913534
• Reza Hassanian, Riedel M, Lahcen Bouhlali. “The capability of recurrent neural networks to predict turbulence 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. https://doi.org/10.1109/ICCC202255925.2022.9922754
• Reza Hassanian, Ásdís Helgadóttir, Morris Riedel. “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. https://doi.org/10.1109/fes57669.2023.10182719
• Reza Hassanian, Hemanadhan Myneni, Ásdís Helgadóttir, Morris Riedel. “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: Grimstad, Norway, 2023, pp. 114-118. https://doi.org/10.1109/CEEGE58447.2023.10246601
• Morris Riedel, Reza Hassanian et al., “Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures”, 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021, pp. 76-85. https://doi.org/10.1109/IPDPSW52791.2021.00019

• Reza Hassanian, Ásdís Helgadóttir, Morris Riedel, “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. [MORE]
• Reza Hassanian, Pedro Costa, Ásdís Helgadóttir and Morris Riedel. “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. [MORE]
• Reza Hassanian, Morris Riedel, Ásdís Helgadóttir, Lahcen Bouhlali, Pedro Costa. “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. [MORE]
• Reza Hassanian, Ásdís Helgadóttir, Marcel Aach, Andreas Linterman, Morris Riedel. “A 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. [MORE]
• Reza Hassanian, Ásdís Helgadóttir, Morris Riedel. “Parallel computing accelerates sequential deep networks model in turbulent flow forecasting”. The International Conference for High Performance Computing, Networking, Storage, and Analysis, SC22, Dallas, November 13-18, Dallas, 2022. [MORE]
• Reza Hassanian, Hemanadhan Myneni, Ásdís Helgadóttir, Morris Riedel. “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.
• Reza Hassanian, Ásdís Helgadóttir, Clara Velte, Morris Riedel. “Turbulent flow prediction: Lagrangian Particle Tracking-Deep Learning (LPT-DL) based models”, 76th Annual Meeting of the Division of Fluid Dynamics 2023, APS, Bulletin of the DFD2023 American Physical Society, November 19–21, 2023; Washington, DC. [MORE]
• Morris Riedel, Ásdís Helgadóttir, Pedro Costa, Andreas Lintermann, Andrea Beck, Reza Hassanian. “Artificial Intelligence and High-Performance Computing in the Context of Particle-Laden Turbulent Flow and Wind Energy”, 76th Annual Meeting of the Division of Fluid Dynamics, APS, Bulletin of the DFD2023 American Physical Society, November 19–21, 2023; Washington, DC. [MORE]
• Reza Hassanian, Nashmin Yeganeh, Ásdís Helgadóttir, Morris Riedel. “A Novel Implicit Model Determines the Photovoltaic Panel Temperature and Environmental Effects”, APS March Meeting 2023, Bulletin of the American Physical Society, March 5-10, Las Vegas, Nevada, 2023. [MORE]
• Reza Hassanian, “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.