💼 Professional Experience

Assistant Professor

🏛️ Saga University, Institute of Ocean Energy (IOES)

📍 Saga, Japan

🗓️ April 2025 - Present

• Floating Offshore Wind Turbine (FOWT) Project: loads prediction ⇒ structural behavior
• ML with CFD applications: Working on creating a new generation of numerical finite volume schemes using machine learning to reduce the reliance on mesh resolution ⇒ curvature prediction

Research Assistant Professor

🏛️ Kyushu University, Research Institute for Applied Mechanics (RIAM)

📍 Fukuoka, Japan

🗓️ May 2022 - March 2025

• Wind and Loads Evaluation/Prediction of WT: Building a surrogate model for predicting the wind and loads of a wind turbine using ML/DL then validating the model with met mast data.
• Floating Offshore Wind Turbine (FOWT) Project: Working on analyzing typhoon data to estimate EEWS for certain wind direction change as a design condition for offshore WT.
• ML with CFD applications: Working on creating a new generation of numerical finite volume schemes using machine learning to reduce the reliance on mesh resolution ⇒ normal vector prediction

Postdoctoral Fellow

🏛️ Kyushu University, Research Institute for Applied Mechanics (RIAM)

📍 Fukuoka, Japan

🗓️ March 2021 - April 2022

• Working on wind solar tower (WST) project to predict the thermal updraft using machine learning techniques, in case of ”no wind turbine”.
  • For the case of ”with WT”, I am using deep learning to predict the output power.
• Managing a team of 3 masters student to build and develop the second phase of 10-kW kite power system (KPS) project.

Intern

🏛️ Delft University of Technology (TU Delft) - Kitepower

📍 Delft, Netherlands

🗓️ April 2019 - July 2019

Working with Kitepower company team on dynamic modelling and control of a rigid vertical take off landing aircraft and simulation of the power cycle aiming to maximize the generated electricity.

• Duties: leading lectures, discussion sessions, laboratory experiments, managing groups and projects, preparing exams, and grading.
• Courses: Introduction to Embedded systems • PLC • Quality control • Dynamics of rigid bodies • Mechanical Mechanisms • Stress Analysis • Properties of materials.

🎓 Education

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