Ehsanolah Assareh | Energy | Editorial Board Member

Published on by Best Paper Awards

Assist. Prof. Dr. Ehsanolah Assareh | Energy | Editorial Board Member 

Assistant Professor | Yeungnam University | South Korea

Ehsanolah Assareh is an accomplished assistant professor affiliated with YU University in South Korea and IAUD University in Iran, with a strong interdisciplinary background in hydrogen energy, artificial intelligence, renewable energy technologies, engineering thermodynamics, and cogeneration systems. He is widely recognized for his influential contributions to energy modeling, optimization, and sustainable energy system design, reflected in more than 2000 citations, an h-index of 22, and an i10-index of 39. His early highly cited works on artificial neural networks for solar radiation prediction and on particle swarm optimization and genetic algorithms for energy demand forecasting in Iran laid a strong foundation for the application of intelligent optimization techniques in energy systems engineering. Over the years, his research has expanded to include advanced forecasting of oil demand, carbon dioxide emissions, and wind speed, as well as the optimization of wind turbines, heat exchangers, and composite structures using evolutionary algorithms. In recent years, his focus has shifted strongly toward integrated renewable and multigeneration systems, particularly the coupling of solar, geothermal, and thermoelectric generators for electricity, cooling, and desalination, along with detailed energy, exergy, and exergoeconomic analyses. He has also made notable contributions to green hydrogen production, power-to-hydrogen and hydrogen-to-power conversion, and techno-economic feasibility studies of hybrid wind–solar systems for rural electrification. His publications in leading journals such as Energy, Solar Energy, Fuel, Renewable and Sustainable Energy Reviews, Geothermics, and the International Journal of Hydrogen Energy demonstrate both technical depth and practical relevance. Through consistent high-impact research, international collaborations, and editorial service, Assareh has played a significant role in advancing intelligent energy systems, sustainable power generation, and hydrogen-based energy solutions at both national and global levels.

Profile: Google Scholar

Featured Publications

  1. Behrang, M. A., Assareh, E., Ghanbarzadeh, A., & Noghrehabadi, A. R. (2010). The potential of different artificial neural network techniques in daily global solar radiation modeling based on meteorological data. Solar Energy, 84(8), 1468–1480.

  2. Assareh, E., Behrang, M. A., Assari, M. R., & Ghanbarzadeh, A. (2010). Application of particle swarm optimization and genetic algorithm techniques on demand estimation of oil in Iran. Energy, 35(12), 5223–5229.

  3. Behrang, M. A., Assareh, E., Noghrehabadi, A. R., & Ghanbarzadeh, A. (2011). New sunshine-based models for predicting global solar radiation using particle swarm optimization technique. Energy, 36(5), 3036–3049.

  4. Alirahmi, S. M., & Assareh, E. (2020). Energy, exergy, and exergoeconomic analysis and multi-objective optimization of a multi-generation energy system for day and night time power generation. International Journal of Hydrogen Energy, 45(56), 31555–31573.

  5. Assareh, E., & Biglari, M. (2015). A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and gravitational search algorithm. Renewable and Sustainable Energy Reviews, 51, 1023–1037.

Ehsanolah Assareh’s research bridges artificial intelligence with renewable and hydrogen energy systems to deliver high-impact solutions for sustainable power generation and energy optimization. His innovations in smart forecasting, multigeneration systems, and green hydrogen technologies support global decarbonization, energy security, and the transition to clean, resilient energy infrastructures.

Quan Zhou | Energy | Best Researcher Award

Published on by Best Paper Awards

Prof. Quan Zhou | Energy | Best Researcher Award

Full Professor | Hunan University | China

Prof. Quan Zhou is a leading academic and Full Professor at Hunan University, China, with a strong background in power systems, communication technologies, and cyber-physical system resilience. He obtained his Ph.D. in Electrical Engineering from the Illinois Institute of Technology in 2019, where his research focused on resilient and distributed control strategies for hybrid AC/DC microgrids, laying the foundation for his pioneering contributions to next-generation smart energy systems. His professional journey includes extensive international research experience and collaborations with globally recognized scholars, resulting in more than 70 publications in top-tier journals such as IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, and IEEE Communications Surveys and Tutorials, collectively earning him over 2,800 citations, 2,469 citing documents, and an h-index of 31. His current research interests center on satellite Internet applications in modern power systems, integrated satellite-terrestrial communication frameworks, secure terminal access technologies, and coordinated communication-control mechanisms for resilient and sustainable grids. Prof. Zhou possesses advanced research skills in distributed control, cyber-security for energy systems, satellite communication design, and predictive modeling for energy management. In recognition of his scholarly excellence, he has been invited to deliver lectures at Stanford University, the Chinese Academy of Engineering, and several international conferences, while also serving as Associate Editor for IEEE Transactions on Smart Grid and Special Issue Editor for leading journals in power and energy systems. His professional honors include multiple Best Reviewer Awards from IEEE journals and prestigious fellowships such as the Paul D. McCoy Family Fellowship. A Senior Member of IEEE and an active contributor to task forces and editorial boards, Prof. Zhou combines technical innovation with leadership, mentoring, and community service. With his outstanding academic contributions, international recognition, and vision for advancing secure, intelligent, and sustainable energy infrastructures, he exemplifies the qualities of a best researcher deserving of global recognition.

Profiles: Google Scholar | Scopus

Featured Publications

Zhang, Z., Ding, T., Zhou, Q., Sun, Y., Qu, M., Zeng, Z., Ju, Y., Li, L., Wang, K., & Chi, F. (2021). A review of technologies and applications on versatile energy storage systems. Renewable and Sustainable Energy Reviews, 148, 111263.

Zhou, Q., Shahidehpour, M., Paaso, A., Bahramirad, S., Alabdulwahab, A., & Abusorrah, A. M. (2020). Distributed control and communication strategies in networked microgrids. IEEE Communications Surveys & Tutorials, 22(4), 2586–2633.

Zhou, Q., Shahidehpour, M., Alabdulwahab, A., & Abusorrah, A. M. (2020). A cyber-attack resilient distributed control strategy in islanded microgrids. IEEE Transactions on Smart Grid, 11(5), 3690–3701.

Shao, C., Feng, C., Shahidehpour, M., Zhou, Q., Wang, X., & Wang, X. (2021). Optimal stochastic operation of integrated electric power and renewable energy with vehicle-based hydrogen energy system. IEEE Transactions on Power Systems, 36(5), 4310–4321.

Zhou, Q., Tian, Z., Shahidehpour, M., Liu, X., Alabdulwahab, A., & Abusorrah, A. M. (2019). Optimal consensus-based distributed control strategy for coordinated operation of networked microgrids. IEEE Transactions on Power Systems, 35(3), 2452–2462.