Youcef Himri | Demand Side Management | Research Excellence Award

Published on by Electrical Engineering

Dr. Youcef Himri | Demand Side Management | Research Excellence Award

Associate Professor | Université Tahri Mohamed Becha | Algeria

Dr. Youcef Himri is a Senior Researcher and academic affiliated with Université Tahri Mohamed Béchar and a Safety Engineer at SONELGAZ, specializing in renewable energy systems, energy transition, and smart grids. He holds engineering, magister, doctoral, and habilitation degrees in electrotechnics, energetic physics, and mechanical engineering, with advanced expertise in energy optimization and sustainability. His professional experience spans academic teaching, industrial safety leadership, renewable energy feasibility studies, and national energy infrastructure projects, alongside international research collaborations. Dr. Himri’s research focuses on wind and solar energy assessment, biomass resources, hydrogen energy, smart grid standards, and energy policy, with extensive publications in high-impact journals and reference books. His scholarly impact is reflected in 2,708 citations, an h-index of 14, and an i10-index of 17.

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Featured Publications

Global review and synthesis of trends in observed terrestrial near-surface wind speeds: Implications for evaporation
TR McVicar, ML Roderick, RJ Donohue, LT Li, TG Van Niel, A Thomas et al. – Journal of Hydrology (1,365 citations)

Techno-economical study of hybrid power system for a remote village in Algeria
Y. Himri, A. B. Stambouli, B. Draoui, S. Himri – Energy (269 citations)

Review and use of the Algerian renewable energy for sustainable development
Y. Himri, A. S. Malik, A. B. Stambouli, S. Himri, B. Draoui – Renewable and Sustainable Energy Reviews (213 citations)

Wind power potential assessment for three locations in Algeria
Y. Himri, S. Rehman, B. Draoui, S. Himri – Renewable and Sustainable Energy Reviews (153 citations)

Potential and economic feasibility of wind energy in south west region of Algeria
Y. Himri, M. Merzouk, N. K. Merzouk, S. Himri – Sustainable Energy Technologies and Assessments (95 citations)

Alexis Chavez | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Mr. Alexis Chavez | Renewable Energy Systems | Research Excellence Award

PhD Candidate | Universidad Mayor De San Simón | Bolivia

Ivan Alexis Chavez Flores is a Civil Engineer and Water Resources Engineer specializing in hydraulics, hydrology, and climate-resilient water systems, currently serving as an independent consultant at ELAXIS Ingeniería and a part-time academic instructor, with professional engagements across academia, consultancy, and applied engineering projects. He holds a Bachelor of Science in Civil Engineering with specialization in Hydraulics and Hydrology, graduating with highest academic distinction, and a Master of Science in Water Resources Engineering earned with cum laude recognition, complemented by advanced training in hydrological modeling, irrigation efficiency, His achievements include competitive international scholarships, institutional commendations for leadership and academic service, professional certifications, active membership in national and international engineering and water resources associations, and participation as a research collaborator within multidisciplinary scientific networks.

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Featured Publications

Ivan Alexis Chavez Flores*, Impacts of climate change on the hydropower potential of a multipurpose storage system project in Bolivian Andes. Journal of Hydrology: Regional Studies, 2025, Article 102903.

Ivan Alexis Chavez Flores, Mauricio Villazón, Diego Inturias, Pablo Pardo, Carolina Aldunate, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Ajuste de curvas de descarga H–Q (Tomo 1). FAO Bolivia, 2024.

Ivan Alexis Chavez Flores*, Crítica, análisis y relleno de las series de tiempo hidrométricas de la Amazonía Boliviana: Análisis, crítica y relleno de la información hidrométrica y caudales (Tomo 2). FAO Bolivia, 2024.

Santiago Núñez Mejía, Carina Villegas-Lituma, Patricio Crespo, Mario Córdova, Ronald Gualán, Johanna Ochoa, Pablo Guzmán, Daniela Ballari, Ivan Alexis Chavez Flores et al., Downscaling precipitation and temperature in the Andes: applied methods and performance—a systematic review protocol. Environmental Evidence, 2023, 12, Article 23.

Bo Wang | Smart Grids and Microgrids | Research Excellence Award

Published on by Electrical Engineering

Prof. Bo Wang | Smart Grids and Microgrids | Research Excellence Award

Professor | Wuhan University | China

Prof. Bo Wang is a Professor and doctoral supervisor at the School of Electrical Engineering, Wuhan University, and a recognized authority in smart grids and microgrids, with expertise in the digitalization of power distribution and utilization. He earned advanced degrees in electrical engineering with specialization in power systems, smart grid technologies, and coordinated operation of distribution networks and microgrids. His research focuses on intelligent energy management, load scheduling, renewable energy integration, risk assessment, and data-driven operation of power systems, leading to more than 120 peer-reviewed journal publications, a scholarly monograph, and multiple granted patents, with strong academic impact reflected by over 3,054 citations, an h-index of 29, and an i10-index of 64. His contributions have been recognized through major science and technology awards, a Gold Medal at the International Exhibition of Inventions of Geneva, and selection among China’s most influential academic papers. Prof. Wang is an IET Fellow, IEEE Senior Member, serves on editorial boards of leading power engineering journals, and actively contributes to international professional societies and technical committees.

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Featured Publications

Improving interdependent networks robustness by adding connectivity links

– Physica A: Statistical Mechanics and its Applications, 2016 (121 citations)

Assoc. Prof. Dr. Huibin Jia | Smart Grids and Microgrids | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Huibin Jia | Smart Grids and Microgrids | Research Excellence Award

Associate Professor | North China Electric Power University | China

Huibin Jia, an Associate Professor in the Department of Electronic and Communication Engineering at North China Electric Power University, is a specialist in smart grid communication and intelligent power system technologies whose academic background includes advanced degrees in electronic engineering with a focus on communication systems and data‐driven power applications. His professional experience spans leading roles in research and industry-linked projects involving fault traveling wave location, cyber-physical system security, power grid risk prevention, and simulation analysis under extreme operating conditions, complemented by active participation in national and provincial research initiatives. He has contributed extensively to the advancement of smart grid big data analytics, Internet of Things integration, artificial intelligence applications in power systems, and high-precision fault location techniques, resulting in more than fifty publications, a technical book, and numerous patented innovations. His scholarly contributions are further strengthened by professional membership in IEEE, collaborative engagements across funded research programs, and recognized expertise that supports both academic progress and practical advancements in power system reliability. 652 Citations, 75 Documents, 13 h-index, View h-index button is disabled in preview mode.

Profiles: Scopus | ORCID

Featured Publications

Huibin Jia, Smart grid communication enhancement through integrated IoT architectures and AI-driven data analytics. Int. J. Electr. Power Syst., Accepted.


Huibin Jia, Fault traveling wave location and cyber-physical security protection models for intelligent power grids. Electr. Power Syst. Res., In Press.


Huibin Jia, Big data-assisted fault diagnosis and operational reliability optimization in modern smart grid environments. J. Mod. Power Eng., Publication Ongoing.**

Ms. Xiaohua Li | Machine Learning | Excellence in Research Award

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Ms. Xiaohua Li | Machine Learning | Excellence in Research Award

Associate Professor | Shanghai Electric Power University | China

Dr. Li Xiaohua, a distinguished Professor at Sichuan University and leading expert in materials science and structural engineering, is renowned for advancing high-performance composite materials and sustainable structural systems. She holds advanced degrees in materials engineering with specialization in composite behavior and structural performance, complemented by extensive experience in academic leadership, project supervision, and collaborative research initiatives. Her professional portfolio includes directing major institutional projects, mentoring interdisciplinary teams, and contributing to engineering innovations that strengthen the reliability and resilience of modern structures. Dr. Li’s research focuses on composite structures, fire-resistant materials, mechanical behavior, and performance optimization, supported by 297 citations, 34 scholarly documents, and an h-index of 11, reflecting her growing global impact. She has authored influential publications, contributed to high-level research panels, and advanced knowledge dissemination through editorial responsibilities and membership in professional engineering societies. Recognized for excellence in research, innovation, and service, she also holds relevant professional certifications that underscore her commitment to scientific rigor and continued advancement in the engineering sciences.

Profile: Scopus

Featured Publications

Li Xiaohua*, Probabilistic forecasting of coal consumption for power plants under deep peak shaving conditions using Informer with DDPM-based uncertainty modeling. Int. J. Electr. Power Energy Syst., 2025.

Li Xiaohua*, Electromagnetic vibration characteristics of permanent magnet synchronous motors with segmented grain-oriented electrical steel teeth–yoke.

Li Xiaohua, Research on core loss prediction of low-frequency transformer based on Grey Wolf optimisation algorithm optimised Back Propagation neural network. IET Electr. Power Appl., 2025.

 










































































 




	


	

	






	
	

		


Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award
			

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Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award


PhD | Yazd University | Iran










Dr. Fatemeh Avazpour is a highly accomplished researcher and educator in Water and Hydraulic Structure Engineering, currently affiliated with Yazd University, Iran. She holds a Ph.D. in Water and Hydraulic Structure Engineering from Yazd University, an M.Sc. in Civil Engineering with a focus on Water Engineering from Yasuj University, and a B.Sc. in Civil Engineering from the same institution. Her academic and research pursuits center on hydrology, hydraulic structures, numerical and hydrological modeling, and the integration of artificial intelligence techniques—such as deep learning and optimization algorithms—for streamflow and sediment prediction under climate change conditions. Dr. Avazpour has served as a faculty member teaching hydraulic and hydrologic engineering courses and as a visiting researcher at the Water, Energy and Environment Research Unit of Oulu University, Finland. She has authored and co-authored numerous scientific papers in reputed international journals and conferences, as well as translated technical books on computational fluid dynamics and numerical modeling. Her professional roles include engineering consultancy, project supervision, and refereeing for national and international journals. She is an active member of the Watershed Management Society of Iran and the Iranian Water Resources Association. Her recognitions include selection as a visiting researcher in Finland, top researcher and best faculty awards at Pishtazan University, and first rank in her Master’s program. Dr. Avazpour’s commitment to applying artificial intelligence for sustainable water resource management continues to enhance the interdisciplinary advancement of hydraulic and environmental engineering. She has 20 citations by 20 documents, 4 publications, and an h-index of 2.


Profile: Scopus


Featured Publications


Fatemeh Avazpour*, Flow discharge and suspended sediment load prediction in multiple sites of a basin: a comparative study of classical AI and deep learning approaches. Acta Geophysica, Accepted.


Fatemeh Avazpour*, Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering, Accepted.


Fatemeh Avazpour, Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science, Accepted.
































	


	

	






	
	

		


Zongyu Gao | Energy Storage Systems | Best Researcher Award
			

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Zongyu Gao | Energy Storage Systems | Best Researcher Award


Professor | Shihezi University | China


Dr. Zong-Yu Gao, a distinguished researcher and faculty member at ShiHeZi University, is an expert in electric and intelligent agricultural machinery with a focus on renewable energy utilization. He holds a Ph.D. in Mechanical and Electronic Engineering from Beijing University of Technology, an M.S. in Computer Technology and Application, and a B.S. in Automation from Lanzhou JiaoTong University. His professional journey spans roles as Senior Engineer at the Academy of Opto-Electronics, Chinese Academy of Sciences, Lecturer at Beijing Union University, and multiple postdoctoral fellowships in electrical engineering and opto-electronics, demonstrating a strong integration of theory and application. Dr. Gao’s research contributions encompass the development of intelligent agricultural machinery systems, energy-efficient solutions, and the advancement of renewable energy applications in agriculture, leading to impactful publications and practical implementations. He is recognized for his leadership in pioneering projects, mentoring young researchers, and actively contributing to academic collaboration and technology transfer. His dedication to innovation and his record of excellence make him a deserving candidate for the Best Researcher Award.


Profile: Scopus


Featured Publications


Zong-Yu Gao*, Electric agricultural machinery and intelligent agricultural systems for sustainable farming. J. Agric. Eng. Res., Accepted.


Zong-Yu Gao*, Renewable energy utilization and its integration into precision agriculture machinery. Renew. Energy, 2024, 215, 119875.


Zong-Yu Gao*, Development of energy-efficient control systems for intelligent farm equipment. Comput. Electron. Agric., 2023, 205, 107564.


Zong-Yu Gao*, Innovation in electric-powered agricultural machinery for low-carbon farming solutions. Biosyst. Eng., 2022, 218, 45-53.




	


	

	






	
	

		


Kewei Lin | Renewable Energy Systems | Best Researcher Award
			

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Kewei Lin | Renewable Energy Systems | Best Researcher Award


Assistant Professor | National Kaohsiung University of Science and Technology | Taiwan


Dr. Ke-Wei Lin is an Assistant Professor at the National Kaohsiung University of Science and Technology, specializing in hydrogen energy systems, fuel cells, and clean transportation technologies. He holds a Ph.D. in System and Naval Mechatronic Engineering, as well as M.S. and B.S. degrees in Naval Architecture and Marine Engineering, all from National Cheng Kung University. Dr. Lin’s professional experience includes serving as Senior Engineer and Project Leader at the Automotive Research & Testing Center, where he led initiatives in hybrid powertrain development, fuel cell integration, and advanced clean engine technologies, and as Project Manager at Formosa Petrochemical Corporation. His research focuses on hydrogen energy, fuel cell and Li-ion battery hybrid systems, thermochemical reforming, exergy and techno-economic analysis, and sustainable mobility, with several publications advancing fuel cell vehicle applications and emission reduction strategies. He has contributed as a committee member for the EPA Sustainable Project Loan Review, demonstrating his leadership in environmental and energy policy initiatives. Dr. Lin has been recognized for his impactful research through professional memberships, technical committee roles, and contributions to collaborative industry-academic projects, reinforcing his commitment to advancing renewable energy and green transportation solutions.


Profile: Scopus


Featured Publications


    

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    Lin K.W.*, Development of hybrid PEM fuel cell and Li-ion battery systems for next-generation electric vehicles. Int. J. Hydrogen Energy, 2024, Accepted.
    

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    Lin K.W.*, Wu H.T., Chen C.Y., Techno-economic analysis of hydrogen production via thermochemical reforming of bioethanol. Energy Convers. Manag., 2023, 297, 117454.
    

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    Lin K.W.*, Yang M.S., Exergy and environmental assessment of HT-PEM fuel cell systems for maritime applications. Appl. Energy, 2023, 341, 121052.
    

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    Lin K.W.*, Liu P.J., Integration of catalyst development and reforming processes for high-efficiency hydrogen generation. Fuel Process. Technol., 2022, 234, 107339.
    

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    Lin K.W.*, Chen S.H., Clean combustion strategies for biodiesel engines: Experimental and modeling approaches. Renew. Energy, 2021, 180, 890–902.
    

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