Projects

• DP4PL: Data-driven and physics-informed learning techniques: for particle-laden turbulent flow
  Role: PI
  International collaboration:
  University of Iceland
  Technical University of Denmark (DTU)
  University of Stuttgart
  Otto-von-Guericke University of Magdeburg
  Julich Supercomputing Centre, Germany
• Singular Spectrum Decomposition for wind speed turbulent forecasting using deep learning
  Role: Lead and researcher
  International collaboration:
  Prof. Jon Atli Benediktsson; University of Iceland
  Prof. Olafur Petur Palsson; University of Iceland
  Prof. Morris Riedel; University of Iceland, Julich Supercomputing Centre, Germany
  Prof. Asdis Helgadottir; University of Iceland
  Prof. Gabriele Cavallaro; University of Iceland, Julich Supercomputing Centre, Germany
• Wind turbine power forecasting under leading edge erosion
  Role: Lead and researcher
• Wind speed from remote sensing and reanalysis data for wind speed forecasting and planetary boundary layer
  Role: Lead and researcher

• Data-driven deep learning models in particle-laden turbulent flow
  Role: Lead and researcher
  International collaboration:
  Prof. Andrea Beck; Institute of Aerodynamics and Gas Dynamics,
  Dr.-Ing. Farshad Gharibi; Laboratory of Fluid Dynamics and Technical Flows, Otto-von-Guericke University of Magdeburg
• Proper Orthogonal Decomposition Analysis of Turbulent Energy Spectra within a Lagrangian Particle Tracking Framework
  Role: Lead
• Data-driven deep learning model for predicting ambient temperature: environment and solar energy
  Role: Lead and researcher

• Turbulent Flow Prediction-Simulation and Hyperparameter Optimization
  International collaboration:
  University of Iceland
  Julich Supercomputing Centre, Germany
• Wake loss model asymmetry induced by the circulation of a vertical axis wind turbine
  Role: Lead

• Deep learning and Machine learning in turbulent flow
  Supervisor: Prof. Morris Riedel; University of Iceland, Co-advisor: Prof. Asdis Helgadottir
  International collaboration:
  Work Package of The European Center of Excellence in Exascale Computing “Research on AI- and Simulation-Based Engineering at Exascale” (CoE RAISE)
  Conseil Européen pour la Recherche Nucléaire (CERN)
  Delft University of Technology (TUDelft)
  Forschungszentrum Jülich GmbH (FZJ)
  University of Iceland (UOI)
  The Cyprus Institute (CYI)
  RWTH Aachen University (RWTH)
  Barcelona Supercomputing Center
  Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
  BULL SAS (BULL)
  Riga Technical University (RTU)
  Flanders Make (FM)
  Safran Helicopter Engines (SAFRAN)
  ParTec AG (ParTec)

• CFD, machine learning, and high-performance computing
  Supervisor: Prof. Morris Riedel; University of Iceland, Co-advisor: Prof. Asdis Helgadottir
  International collaboration:
  Work Package of The European Center of Excellence in Exascale Computing “Research on AI- and Simulation-Based Engineering at Exascale” (CoE RAISE)
  Conseil Européen pour la Recherche Nucléaire (CERN)
  Delft University of Technology (TUDelft)
  Forschungszentrum Jülich GmbH (FZJ)
  University of Iceland (UOI)
  The Cyprus Institute (CYI)
  RWTH Aachen University (RWTH)
  Barcelona Supercomputing Center
  Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
  BULL SAS (BULL)
  Riga Technical University (RTU)
  Flanders Make (FM)
  Safran Helicopter Engines (SAFRAN)
  ParTec AG (ParTec)

• Estimation and forecasting of a deep learning model in fluid dynamics
  Supervisor: Prof. Morris Riedel; University of Iceland, Co-advisor: Prof. Asdis Helgadottir
  International collaboration:
  Work Package of The European Center of Excellence in Exascale Computing “Research on AI- and Simulation-Based Engineering at Exascale” (CoE RAISE)
  Conseil Européen pour la Recherche Nucléaire (CERN)
  Delft University of Technology (TUDelft)
  Forschungszentrum Jülich GmbH (FZJ)
  University of Iceland (UOI)
  The Cyprus Institute (CYI)
  RWTH Aachen University (RWTH)
  Barcelona Supercomputing Center
  Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
  BULL SAS (BULL)
  Riga Technical University (RTU)
  Flanders Make (FM)
  Safran Helicopter Engines (SAFRAN)
  ParTec AG (ParTec)
• Wind Energy and data-driven deep learning model

• Data-Driven Deep Learning and Fluid Dynamics
  Supervisor: Prof. Morris Riedel; University of Iceland, Co-advisor: Prof. Asdis Helgadottir
• Solar energy and numerical method

• Leading-edge erosion and wind turbine
  Supervisor: Prof Armann Gylfason; Reykjavik University

• Strained turbulent flow, experimental laboratory research
  Supervisor: Prof Armann Gylfason; Reykjavik University

• Floating Roof Oil Storage Tank, Roof Instability and Tilting due to high-velocity flow inlet

• Pressure Vessel design under stress and high pressure

• Centrifugal pump design as a booster for an offshore pipeline

• Corrosive, erosive, fouling, and buffering fluids in the heat exchanger

• Oil Wellhead facility design under specific conditions

• Gas Injection Compressor design for a single oil well

• Centrifugal pump vibration analysis
• Centrifugal pumps (8 QTY) designed for heavy fluid and special hydrostatic test conditions