PREE 2026
2026 4th International Conference on Power and Renewable Energy Engineering
Tokyo, Japan October 3-6, 2026


Prof. Nicolaos A. Cutululis
Technical University of Denmark, Denmark

Nicolaos A. Cutululis is a Professor in the Department of Wind and Energy Systems at the Technical University of Denmark. He holds a M.Sc. (1998) and a Ph.D (2005) in Automatic Control. His main research area is operation and integration of wind power moving towards 100% RES power systems, with a special focus on offshore wind and HVDC. He has authored/co-authored extensively in his research field. He serves as a Chief Editor of the Wind Energy Science journal. He has served as scientific director in the DTU TotalEnergies Excellence Center of Clean Energy (DTEC). He is active in shaping the wind and power research agenda at the European level, having been an MB member of EERA JP Wind and an Ex-co member for ETIPWind; he has also co-chaired the SET Plan IWG, drafting the first Implementation Plan for HVDC. Currently, he is chairing the Steering Committee of the Energy Islands Forum.


 



Assoc. Prof. Mamiko Inamori
Tokai University, Japan

Mamiko Inamori was born in Kagoshima, Japan in 1982. She received her B.E., M.E., and Ph.D. degrees in electronics engineering from Keio University, Japan in 2005, 2007, and 2009, respectively. In 2009, she joined Keio University as an assistant professor. In 2013, she joined Faculty of Engineering, Tokai University, where she is now an associate professor. She received the Young Scientist Award from Ericsson Japan in 2010. Her research interests are mainly concentrated on wireless power transfer and signal processing in wireless communication system.


 



Assoc. Prof. Daigo Yonetsu
Kansai University, Japan

Daigo Yonetsu completed the course requirements of the latter half of the doctoral program in engineering at the Graduate School of Engineering of Kansai University in 2003, and then became a research associate in the Faculty of Engineering. He became a lecturer in the Faculty of Engineering Science of the same university in 2007. He became an associate professor in the Faculty of Engineering Science of the same university in 2015. He holds a D.Eng. degree and is engaged in research on optimal design simulations of electrical equipment, electric field optimal design simulations of electric power equipment and optimal design of cable size for economy and environment. He received a 2007 IEIEJ Paper Encouragement Award, and a 2020 IEIEJ Academic Encouragement Award. He is a member of IEEE, IEIEJ, IEEJ, the Japan Society for Simulation Technology, and JSAEM.


 



Prof. Kwan San Oscar Hui
Prince Mohammad Bin Fahd University, Saudi Arabia

Kwan San Oscar Hui is a Full Professor of Mechanical Engineering at Prince Mohammad Bin Fahd University, Saudi Arabia. He previously held academic appointments at the University of East Anglia, UK (Lecturer, 2016–2019; Reader, 2019–2024), Hanyang University, South Korea (Assistant Professor, 2013–2016), and City University of Hong Kong (Lecturer, 2008–2013). He obtained his PhD in Mechanical Engineering from the Hong Kong University of Science and Technology in 2008.
Professor Hui’s research centres on energy storage, conversion, and advanced materials. Recognised since 2020 among the world’s top 2% of scientists in Materials, Energy, and Nanoscience, he has authored over 263 peer-reviewed publications (h-index: 65; citations: 13,355+) in leading journals including Advanced Materials, Energy & Environmental Science, and Advanced Energy Materials. He is an inventor on a U.S. patent (US9040007B2) and actively contributes to international expert panels such as the Royal Society and UKRI. He is a Fellow of the Royal Society of Chemistry (UK) and the Higher Education Academy (UK), and currently serves as Chair of the Device Technologies for Energy Storage Ad Hoc Committee of the IEEE Electron Devices Society (USA).


 



Assoc. Prof. Kwun Nam Hui
University of Macau, China

Kwun Nam Hui is an Associate Professor at the Institute of Applied Physics and Materials Engineering (IAPME), University of Macau. He received his PhD in Electrical and Electronic Engineering from the University of Hong Kong in 2009 and held academic appointments at Pusan National University before joining the University of Macau in 2015. Dr. Hui research focuses on advanced electrode and catalytic materials for energy storage and conversion, including lithium–sulfur, potassium-ion, sodium-ion, and aluminum-ion batteries, as well as supercapacitors and electrocatalytic systems (ORR, OER, HER, CO₂RR, NRR). His group combines nanostructure design, lattice/strain engineering, molecular dynamics, and DFT calculations to accelerate charge transfer and reveal fundamental reaction mechanisms.
Dr. Hui has published over 275 SCI-indexed papers in top journals including Advanced Materials, Angewandte Chemie International Edition, Advanced Energy Materials, Advanced Functional Materials, Advanced Science, and EES Batteries. He has an h-index of 69 with more than 15,500 citations (Google Scholar). Recognized among the World’s Top 2% Scientists (Stanford/Elsevier) since 2021, he is also a Fellow of the Royal Society of Chemistry, serves as Editor-in-Chief of three international journals, and holds over 50 patents.


 



Assoc. Prof. Sinan Küfeoğlu
University of Vaasa, Finland

Sinan Küfeoğlu is working as an Associate Professor at the University of Vaasa, Finland. He worked as a Senior Policy Manager at the Office of Gas and Electricity Markets (Ofgem), HM Government. Previously, he worked at the University of Oxford, the University of Cambridge, and University College London. He led the research collaboration between Cambridge and the European Bank for Reconstruction and Development (EBRD) in developing recommendations to enhance the digital resilience of critical infrastructure. He was an adviser at the United Nations Institute for Training and Research (UNITAR) for integrating the United Nations Sustainable Development Goals into university education. He provided consultancy to the World Bank in the field of applying machine learning to electric power systems. His research interests include energy futures, sustainable development, energy economics, and technology policy.