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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