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

Published on by Electrical Engineering

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.

 










































































 




	


	

	






	
	

		


Assoc. Prof. Dr. Saidjon Tavarov | Demand Side Management & Energy Efficiency | Editorial Board Member
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Assoc. Prof. Dr. Saidjon Tavarov | Demand Side Management & Energy Efficiency | Editorial Board Member


Associate Professor | South Ural State University (national research university) | Russia
















Dr. Saidjon Shiralievich Tavarov, a researcher and faculty member at South Ural State University specializing in power and energy systems, is an expert in electrical load forecasting, distribution network optimization, and energy efficiency. He holds advanced degrees in power engineering with a focus on electrical systems analysis and has previously served at Tajik Technical University, where he contributed to academic instruction, research leadership, and applied energy projects. His professional experience spans modeling urban electrical networks, developing algorithms for consumption management, and improving operational modes of distribution grids, along with leading studies on household energy behavior, uncertainty-based forecasting, and smart-meter-driven control methods. Dr. Tavarov has authored numerous publications in international journals and conferences, covering semiconductor converter modeling, pulse converter efficiency, fuzzy-logic-based forecasting, reliability assessment, and urban grid performance enhancement. His research has supported practical improvements in energy planning, grid stability, and consumption optimization in regions with complex climatic and infrastructural conditions. He has been recognized for his scholarly contributions through active editorial and peer-review roles for leading journals, including Energies, Sustainability, Algorithms, Electric Power Components and Systems, and the World Electric Vehicle Journal. His professional standing is further supported by memberships in academic communities and ongoing contributions to international research collaborations, reflecting his commitment to advancing modern electrical engineering and sustainable energy development.












Profile: Scopus


Featured Publications


Saidjon Shiralievich Tavarov*, Forecasting average daily and peak electrical load based on monthly consumption data. Electricity, Accepted.


Saidjon Shiralievich Tavarov*, Model of semiconductor converters for simulating asymmetric loads in autonomous power systems. Int. J. Electr. Comput. Eng., Accepted.


Saidjon Shiralievich Tavarov*, Improving energy indicators of pulse converters. Indones. J. Electr. Eng. Comput. Sci., Accepted.



















	


	

	






	
	

		


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

				Published on  by Electrical Engineering			

		
	


	

		



	
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.
































	


	

	






	
	

		


Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award


Assistant Professor | Guru Nanak Dev Engineering College | India


Dr. Harpreet Kaur Channi is an accomplished Assistant Professor in the Department of Electrical Engineering at Guru Nanak Dev Engineering College, Ludhiana, with extensive experience in teaching and research across renewable energy systems, smart grids, artificial intelligence, and IoT applications. She holds a Ph.D. in Electrical Engineering from Chandigarh University, specializing in the performance evaluation of hybrid renewable systems for rural electrification, and a Post-Doctoral Fellowship in Electrical Engineering with a focus on PV-Biomass-EV integration from Eudoxia Research University. Over her 17-year career, Dr. Channi has contributed significantly to the fields of solar-biomass hybrid systems, sustainable smart cities, and federated learning in energy and healthcare domains. She has authored more than 115 Scopus-indexed papers, 50 book chapters, and 40 books, and has presented her research in numerous international conferences. Her work has led to 13 published patents and over 50 specialized certifications, including NPTEL and Coursera. A respected academic leader, she has served as NBA and ABET Coordinator, Mentoring Lead, and SC/ST Student Support Coordinator, fostering both academic excellence and inclusivity. Dr. Channi’s professional recognition includes 45 awards for research and teaching excellence, along with memberships in 14 professional institutions. She continues to advance interdisciplinary innovation, integrating renewable technologies with artificial intelligence to support sustainable development and energy resilience. Her research impact is reflected in 1,127 citations, an h-index of 15, and an i10-index of 19.


Profile: Google Scholar


Featured Publications


Harpreet Kaur Channi*, Performance evaluation of hybrid renewable energy systems for rural electrification. Renew. Energy Eng. J., Accepted.


Harpreet Kaur Channi*, Optimization and modeling of PV–biomass–EV integrated systems using artificial intelligence techniques. Int. J. Electr. Power Energy Syst., 2024, 12(3), 102145.


Harpreet Kaur Channi, Smart grid innovation and IoT-based monitoring for sustainable energy infrastructure. Energy Sustain. Dev., 2024, 18(2), 113207.




	


	

	






	
	

		


Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award


Assistant Professor | University of Petra | Jordan
















Dr. Anas Ghassan Kanaan is an Assistant Professor in the Department of E-Business and Commerce at the University of Petra, Jordan, specializing in Management Information Systems with a focus on E-Business and Data Analytics. He holds a PhD in Management Information Systems (E-Business) and a Master’s in Information Technology from Universiti Utara Malaysia, along with a Bachelor’s degree in Computer Science from Mutah University. His academic and professional journey includes extensive teaching and leadership experience, serving as acting head of department and active member of numerous academic and strategic committees. Dr. Kanaan’s research primarily explores cybersecurity, business intelligence, e-government, and digital transformation, with multiple publications in Q1 and IEEE-indexed journals such as Behaviour & Information Technology and International Journal of Data and Network Science. His notable works address cybersecurity resilience, business continuity, and e-commerce innovation, contributing significantly to the advancement of smart business technologies. He has served as a peer reviewer for several international journals including Taylor & Francis and Elsevier, and has represented his institution at national workshops and conferences on digital infrastructure. His professional recognitions include the Distinguished Researcher Award from the University of Petra and multiple appreciation awards for academic and community service. Additionally, Dr. Kanaan is a certified professional trainer accredited by international organizations and actively contributes to academic excellence through curriculum development, research supervision, and technology-driven education. His research profile includes 117 citations across 102 documents, 12 publications, and an h-index of 6.


Profile: Google Scholar | ORCID | Scopus


Featured Publications












Anas Ghassan Kanaan*, Towards Business Continuity Management in the Saudi Healthcare Sector Through Security and Operational Risk Management. Emerald/Science Direct (Q1, Scopus).


Anas Ghassan Kanaan*, Optimizing E-Government Services through RFM Analysis and X-Means Clustering: A Data-Driven Approach to Citizen Segmentation and Service Personalization. Emerald (Q1, Scopus, Accepted).


Anas Ghassan Kanaan, Fortifying Organizational Cyber Resilience: An Integrated Framework for Business Continuity and Growth Amidst Escalating Threat Landscapes. Int. J. Comput. Digit. Syst., 16(1), 1–13 (Q3, Scopus).*


Anas Ghassan Kanaan, Cybersecurity Resilience for Business: A Comprehensive Model for Proactive Defense and Swift Recovery. IEEE Int. Conf. Cyber Resilience (ICCR).



















	


	

	






	
	

		


Mr. Ahmad Alqatamin | Solar Energy | Young Scientist Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Mr. Ahmad Alqatamin | Solar Energy | Young Scientist Award


PhD | Xi'an Jiaotong University | China


Dr. Ahmad Hasan Al-Qatamin is a dedicated researcher and PhD candidate in Power Engineering and Engineering Thermophysics at Xi’an Jiaotong University, China, specializing in renewable energy systems and advanced thermal management technologies. He holds dual Master’s degrees in Renewable Energy Engineering from Alhussien Bin Talal University and Mechanical Engineering from Southwest Jiaotong University, along with a Bachelor’s degree in Mechanical Engineering (HVAC) from Xi’an Jiaotong University. His professional experience includes serving as a trainer and teacher at the Ministry of Education in Jordan and as a study and piping engineer in prominent industrial firms, contributing to major energy infrastructure projects. Dr. Al-Qatamin’s research focuses on photovoltaic-thermal (PVT) systems, nanofluid cooling, heat exchangers, and energy optimization through computational and experimental modeling. He has published multiple high-impact papers in leading journals such as Energy, Renewable Energy, and Applied Thermal Engineering, reflecting his contributions to sustainable energy innovation. His commitment to professional excellence is further demonstrated through specialized training programs in HVAC, refrigeration, and vocational education. Recognized for his strong academic performance and research excellence, Dr. Al-Qatamin continues to advance the integration of renewable technologies with enhanced thermal efficiency, making significant contributions to the field of sustainable power engineering. His scholarly impact is evidenced by 138 citations, an h-index of 4, and an i10-index of 3.


Profile: Google Scholar 


Featured Publications


Ahmad Hasan Al-Qatamin*, Computational analysis of photovoltaic thermal performance using Al₂O₃/water and CNT/water nanofluids with perforated V-shape heatsink. Energy, 2025.


Ahmad Hasan Al-Qatamin*, Numerical analysis and design of photovoltaic-thermal (PVT) system with novel water-cooling channel structure integrated with perforated V-shape fins. Renewable Energy, 2025.


Ahmad Hasan Al-Qatamin*, Machine learning prediction of photovoltaic-thermal system with V-shaped perforated fins. Applied Thermal Engineering, 2024.


Ahmad Hasan Al-Qatamin*, Experimental investigation of the photovoltaic thermal system integrated with a ground heat exchanger using volcanic tuff stones. Applied Thermal Engineering, 2024.


Ahmad Hasan Al-Qatamin, Su J., Al-Khashman O.A., A novel heatsink for optimizing photovoltaic cell performance with passive cooling using perforated wave-shaped fins. ASME Journal of Solar Energy Engineering, 2025.


 




	


	

	






	
	

		


Zongyu Gao | Energy Storage Systems | Best Researcher Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
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
			

				Published on  by Electrical Engineering			

		
	


	

		



	
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


    

  1. 

    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.
    

    2. 

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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.
    

    3. 

  3. 

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

    4. 

  4. 

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

    5. 

  5. 

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

    6.