Oluwaseun Duntoye | Tidal Energy | Research Excellence Award

Mr. Oluwaseun Duntoye | Tidal Energy | Research Excellence Award

Mr. Oluwaseun Duntoye | Tidal Energy | Research Assistant at Seoul National University of Science and Technology | South Korea

Tidal Energy researcher Mr. Oluwaseun Duntoye is a highly motivated power systems and AI-based control engineer with a strong interdisciplinary background spanning renewable energy systems, intelligent control, and advanced electrical engineering. Mr. Oluwaseun Duntoye holds an MSc in Electrical and Information Engineering with distinction from Seoul National University of Science and Technology, where he developed optimization and machine-learning expertise through advanced coursework and a thesis on energy-efficient beamforming algorithms, and a BTech in Physics (Electronics) from the Federal University of Technology, Minna, with strong foundations in applied physics and signal propagation. Professionally, Mr. Oluwaseun Duntoye has served as a Research Assistant at the Advanced Power Networks Lab and the Intelligent Communications Lab at SEOULTECH, contributing to high-impact research on wind power forecasting, PV–BESS control strategies, smart grids, HVDC systems, and AI-driven optimization, alongside earlier undergraduate research experience in experimental signal analysis. His research interests center on Tidal Energy integration, power systems, renewable energy conversion, energy storage, power electronics, and AI-enabled control of next-generation grids. Mr. Oluwaseun Duntoye’s research skills include system modeling, deep learning, optimization algorithms, MATLAB and Python programming, data-driven forecasting, and intelligent energy control. His academic recognition includes distinction-level graduation and competitive research paper nominations. In conclusion, Mr. Oluwaseun Duntoye represents a forward-looking Tidal Energy and renewable systems researcher poised to advance resilient, sustainable, and intelligent energy networks through doctoral-level innovation.

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Featured Publications

Wind Power Forecast Using Multilevel Adaptive Graph Convolution Neural Network
Duntoye, O.E.; Alowonou, K.C.; Kwon, D.-H. – Energies, 2026, 19, 186 (MDPI)

Real-Time Optimal Control of Two-Terminal VSC-HVDC System to Improve Grid Frequency and AC-Voltage Stability
Nyahega, G.J.; Duntoye, O.E.; Kwon, D. – IEEE Transactions on Power Systems (Under Review)
Deloading Control Strategy with Battery Energy Storage System Integration for Photovoltaic Systems
Duntoye, O.E.; Nyahega, G.J.; Kwon, D. – Proc. 11th APAP International Conference, Jeju, South Korea, 2025

An Efficient Beamforming Algorithm for Simultaneously Transmitting and Reflecting Intelligent Surfaces
Duntoye, O.E.; Lee, K. – MSc Thesis, SEOULTECH dCollections, 2024
Investigative Study on Ultrasound Velocity with Weather Parameters
Duntoye, O.E.; Ibrahim, A.G. – Proc. Nigerian Institute of Physics Annual Conference, Niger State, Nigeria, 2017