Assoc. Prof. Dr. Jinpeng Guo | Power System Stability | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Jinpeng Guo | Power System Stability | Research Excellence Award

Associate Professor | Hohai University | China

Dr. Jinpeng Guo, an Associate Professor at the School of Electrical and Power Engineering at Hohai University, is a specialist in new energy power systems with expertise in renewable energy grid integration, stability analysis, and advanced control strategies for converter-dominated networks. He holds a doctoral degree in Electrical and Computer Engineering from McGill University, a graduate degree in Electrical Engineering from Southeast University, and a bachelor’s degree in Electrical Engineering and Automation from Chongqing University, further enriched by an academic exchange in electrical engineering at Tsinghua University. His professional experience includes leading and contributing to major research initiatives on frequency characteristics, rotor-angle stability, offshore wind power integration through VSC-HVDC systems, synchronous condenser optimization, and wide-area damping control, serving as both project leader and technical director in national and industry-supported programs. Dr. Guo’s research focuses on data-driven modeling, inertia estimation, dynamic stability enhancement, and coordinated active–reactive power control, supported by publications in reputable journals and international conferences. His scholarly contributions advance power system resilience, renewable energy operational security, and the development of intelligent control methods for modern electric grids. He has been recognized through competitive research funding and active participation in collaborative international projects, professional networks, and academic communities. His academic profile includes 3 citations, 8 documents, and an h-index of 1.

Profiles: Scopus | ORCID

Featured Publications

Guo, Jinpeng*, Quantitative evaluation and sensitivity analysis of carbon emission reduction costs based on optimal scheduling of electric-thermal integrated energy systems. Electric Power Systems Research, 2026, Article in press.

Guo, Jinpeng*, Improved vector current control for the VSC-HVDC converter connected to a very weak AC grid. IEEE Transactions on Circuits and Systems I: Regular Papers.

Guo, Jinpeng*, Data-driven methods in modern power system stability and security. Smart Cyber-Physical Power Systems.

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.**

Prof. Dr. Zhi-Hua Yang | Wearable Electronics | Research Excellence Award

Published on by Electrical Engineering

Prof. Dr. Zhi-Hua Yang | Wearable Electronics | Research Excellence Award

Professor | Harbin institute of technology | China

Professor Zhihua Yang, a leading scholar at the Harbin Institute of Technology, is recognized for his expertise in advanced ceramics and composite materials within the School of Materials Science and Engineering, where he contributes to both foundational research and high-impact industrial innovation. With advanced degrees in materials science and specialization in ceramic and composite systems, he has developed a strong professional portfolio encompassing major research projects on structural-functional integrated ceramics, additive manufacturing, and ceramic–metal integration technologies for semiconductor packaging and electronic circuits. His experience includes directing significant research initiatives, providing specialized consulting for semiconductor equipment component development, and fostering academic collaborations with prominent institutions. Professor Yang has authored influential monographs, contributed to national-level publications, published more than 250 peer-reviewed papers, and secured 70 authorized national invention patents, demonstrating his leadership in translating materials research into technological applications. His professional recognitions are strengthened by his service as Associate Editor of the Journal of Applied Ceramic Technology, Editorial Board Member of the Journal of Advanced Ceramics, and council member in key committees of the Chinese Ceramic Society and the Chinese Mechanical Engineering Society, reflecting his commitment to advancing the field through scholarly excellence, professional service, and sustained research contributions.

Profile: ORCID

Featured Publications

Zhihua*, Review activity for ACS Applied Electronic Materials. ACS Appl. Electron. Mater., Review, American Chemical Society.

Zhihua*, Review activity for ACS Applied Electronic Materials. ACS Appl. Electron. Mater., Review, American Chemical Society.

Zhihua*, Review activity for Tribology International. Tribol. Int., Review, Elsevier Editorial.

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.

 










































































 




	


	

	






	
	

		


Dr. Salam Bani Hani | Nursing and Medical Feilds | Best Researcher Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Dr. Salam Bani Hani | Nursing and Medical Feilds | Best Researcher Award


Assisstant Professor | Irbid National University | Jordan
















Dr. Salam Bani Hani is an Assistant Professor and Head of the Nursing Department at Irbid National University, recognized for her expertise in nursing research, healthcare quality, digital health, and clinical education. She holds a PhD in Nursing Philosophy with a specialization in large-scale data applications for predicting cardiovascular conditions, an MSc in Nursing Service Administration, and a BSc in Nursing. Her professional experience includes academic leadership, clinical instruction across diverse nursing specialties, patient and family education, and clinical practice in emergency and critical care settings. Dr. Bani Hani’s research focuses on cardiovascular disease prediction using artificial intelligence, nursing education, digital health literacy, patient safety, chronic disease management, and public health issues affecting vulnerable communities. She has an extensive record of publications across reputable Scopus-indexed journals, contributing empirical studies, systematic reviews, and interdisciplinary collaborations. She has delivered multiple professional workshops on life support, documentation, pain management, and clinical communication, and has actively participated in scientific conferences as a speaker, trainer, and rapporteur. Her professional service includes reviewing for peer-reviewed journals, contributing to academic committees, and supporting program development and training initiatives. She has received national recognition, including a distinguished nursing shield, and has earned certifications that enhance her clinical and academic proficiency. Dr. Bani Hani’s scholarly impact is reflected in 333 citations, 63 published documents, and an h-index of 8.


Profile: Scopus | ORCID


Featured Publications


Bani Hani, Salam, Jordanian nursing students’ perceptions of the compassionate actions of their clinical instructors: a mixed-methods study. BMC Nursing, 2025.


Bani Hani, Salam, Barriers affecting safe practice of oxygen administration to critical ill children. Journal of Pediatric Nursing, 2025.


Bani Hani, Salam, Preoperative anxiety, postoperative pain tolerance and analgesia consumption: A prospective cohort study. Journal of Perioperative Practice, 2025.


Bani Hani, Salam, Knowledge and practices of Jordanian university students regarding food safety and handling. Nutrition and Food Science, 2025.


Bani Hani, Salam, Depression and Anxiety among Adolescents with Type 1 Diabetes Mellitus: Systematic Review of Literature. The Open Nursing Journal, 2025.


























	


	

	






	
	

		


Prof. Xianglong Xu | Artificial Intelligence Prediction Tools | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Prof. Xianglong Xu | Artificial Intelligence Prediction Tools | Research Excellence Award


Research Professor | Shanghai University of Traditional Chinese Medicine | China
















Dr. Xianglong Xu, a Research Professor at Shanghai University of Traditional Chinese Medicine specializing in AI-enabled epidemiology and predictive health analytics, holds a Ph.D. in Epidemiology with advanced expertise in chronic disease modelling and public health informatics. His professional experience spans roles as a young researcher, master’s supervisor, and project leader, contributing to multidisciplinary initiatives that integrate artificial intelligence with clinical practice and community health systems. Dr. Xu has led the development of innovative digital health tools, large-scale preventive health databases, and collaborative programs with hospitals and public health centers, strengthening data-driven decision-making across diverse populations. His research focuses on chronic disease risk assessment, AI-driven health prediction models, digital health evaluation, and the integration of Traditional Chinese Medicine concepts into modern epidemiology, supported by significant scholarly output and impactful scientific contributions. He has published extensively in peer-reviewed journals, contributed to theoretical and applied advancements in intelligent health analytics, and served on editorial boards while reviewing for leading international journals. His professional affiliations include membership in the International Epidemiological Association, IEEE and EMBS, national rehabilitation committees, and multiple scientific societies, complemented by recognitions across national and international platforms. 1,441 Citations, 71 Documents, 21 h-index.


Profiles: Scopus 


Featured Publications


Xu, Xianglong*, Urban and rural disparities in stroke prediction using machine learning among Chinese older adults. Scientific Reports, 2025.


Xu, Xianglong*, External validation of a web- and artificial intelligence-based HIV/STI risk assessment tool: performance evaluation using data from Sydney sexual health centre. BMC Infectious Diseases, 2025.


Xu, Xianglong*, Anxiety responses and testing intentions among gay and bisexual men using an AI-powered HIV/STI risk assessment tool: a quasi-experimental study. BMC Public Health, 2025.


Xu, Xianglong, Comparative analysis of cardiometabolic multimorbidity predictors in China and the USA: A machine learning approach. Diabetes Research and Clinical Practice, 2025.


Xu, Xianglong, Development of a web-based tool using machine learning algorithms to improve adherence to diagnostic colonoscopy among middle-aged and elderly adults in colorectal cancer screening program. Annals of Epidemiology, 2025.


Xu, Xianglong, Determinants and geographical variations in oral traditional Chinese medicine use among middle-aged and elderly chronic adults in China: A cross-sectional study. European Journal of Integrative Medicine, 2025.


Xu, Xianglong, Geographical distribution disparities and prediction of health satisfaction among middle-aged and elderly adults in China: An analysis based on national data. Annals of Epidemiology, 2025.


























	


	

	






	
	

		


Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award


Professor | Harbin Institute of Technology | China
















Dr. Fazhi Song, Professor in the School of Instrumentation Science and Engineering at Harbin Institute of Technology, is a leading specialist in control science and precision motion systems whose work advances high-end manufacturing and inspection technologies. With a Ph.D. in Control Science and Engineering and research expertise spanning motion generation, performance control, learning control, and system accuracy retentivity, he has built a distinguished academic and professional record through roles as researcher, lecturer, associate professor, and project leader on numerous advanced engineering projects. He has authored more than forty peer-reviewed publications, contributed a research monograph, and secured an extensive portfolio of patents and software copyrights, reflecting strong innovation and impact in precision motion control. His scholarly influence is further demonstrated by 432 citations across 367 documents, 45 indexed publications, and an h-index of 9. Dr. Song has been recognized with major honors, including high-level national and provincial awards for technological invention, innovation, and academic contribution, and he maintains active professional service as guest editor, editorial board member, conference session chair, peer reviewer for leading journals, and expert evaluator for national research programs. His contributions exhibit a blend of scientific rigor, technological advancement, and leadership, positioning him as an exemplary candidate for award recognition.


Profiles: Scopus | ORCID


Featured Publications


Fazhi Song, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*


Fazhi Song, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*


Fazhi Song, Identification for precision mechatronics: An auxiliary model-based hierarchical refined instrumental variable algorithm. Int. J. Robust Nonlinear Control, 2025.*


Fazhi Song, Beyond performance of learning control subject to uncertainties and noise: A frequency-domain approach applied to wafer stages. IEEE/CAA J. Autom. Sinica, 2025, 5 citations.*


























	


	

	






	
	

		


Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Assoc. Prof. Dr. Guanlong Jia | Electric Engineering | Research Excellence Award


Associate Professor | Hebei University of Technology | China
















Guanlong Jia, Lecturer at Hebei University of Technology and a Member of IEEE, is a researcher specializing in high-power electronics with expertise in circuit breakers, multilevel converters, control algorithms, and pulse-width modulation techniques. He holds a Ph.D. in electrical engineering from Zhejiang University, where he focused on advanced power electronic systems and their reliability. In his professional capacity, he contributes to teaching and research in power conversion technologies, participating in institutional and collaborative projects that enhance innovation in electrical engineering. His research centers on the design, analysis, and optimization of high-power electronic devices, and his contributions are reflected in his scholarly publications and technical advancements in power electronics. He is recognized for his academic engagement and his role in supporting the wider research community through professional membership and ongoing contributions to the field. At the end of his academic profile: 295 citations, 42 documents, and an h-index of 7.












Profile: Scopus


Featured Publications


Jia, Guanlong*, Transient stability enhancement method for virtual synchronous generators using power-angle deviation with a modified reactive-power control loop. Electronics (Switzerland), Accepted.


Jia, Guanlong*, Multi-objective optimization design of fast vacuum switch operating mechanisms for hydrogen-storage power systems. AIP Advances, Accepted.


Jia, Guanlong, Dynamics simulation and fault-characteristic analysis of permanent-magnet repulsion mechanisms for vacuum circuit breakers integrating advanced high-power switching technologies. AIP Advances, Accepted.


















	


	

	






	
	

		


Prof. Qie Sun | Power System Stability & Control | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Prof. Qie Sun | Power System Stability & Control | Research Excellence Award


Director | Shandong University | China
















Prof. Qie Sun, Professor and doctoral supervisor at Shandong University and Deputy Dean of the Institute for Advanced Technology, is a leading expert in sustainable energy systems, thermal science, and integrated energy system optimization. He holds a doctorate in Industrial Ecology from the Royal Institute of Technology and bachelor’s and master’s degrees in management from Ocean University of China. His professional experience encompasses academic leadership roles, major interdisciplinary collaborations, and the management of high-impact projects in multi-energy systems, CO₂ capture and utilization, thermal management technologies, and energy storage solutions. He has led and contributed to numerous national and provincial research initiatives and played a key role in the thermal control research of the Alpha Magnetic Spectrometer. His research focuses on integrated energy systems, system flexibility under uncertainty, multi-energy coupling modeling, thermal management for electronics and wearable devices, urban energy systems, and industrial ecology, supported by extensive scholarly output that includes over 140 documents, 5,302 citations, and an h-index of 33. Prof. Sun has received multiple honors, including global top scientist recognitions, best paper awards, outstanding reviewer awards, and teaching excellence distinctions. He serves as Assistant Editor of Advances in Applied Energy, Associate Editor for several prominent journals, reviewer for numerous high-impact publications, and an active member of professional bodies such as IEEE and the Chinese Society of Engineering Thermophysics. Through his editorial leadership, scientific committee roles, and contributions to international conferences, Prof. Sun continues to advance innovation and global scholarship in sustainable energy research.


Profile: Scopus


Featured Publications


Sun, Q.*, The flexibility of a molten salt thermal energy storage (TES)-integrated coal-fired power plant. Applied Energy, 2025.


Sun, Q.*, Dynamically tunable silica hydrogel windows enabled by hydration state control for enhanced building energy efficiency. Applied Thermal Engineering, 2025.


Sun, Q.*, Impact of dust composition on parabolic trough concentrator performance across diverse regions. Solar Energy, 2025.


Sun, Q.*, The review of key furnaces in CaC₂ smelting process under the background of carbon neutrality. Review, 2025.


Sun, Q.*, A thin and lightweight miniature loop heat pipe for cooling mobile electronic devices. Device, 2025.




























	


	

	






	
	

		


Dr. Muhammad Tariq | Animal Reproduction | Research Excellence Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Dr. Muhammad Tariq | Animal Reproduction | Research Excellence Award


Ph.D Scholar | College of Animal Science and Technology | China
















Muhammad Tariq, a dedicated researcher and Ph.D. candidate at the College of Animal Science and Technology, Nanjing Agricultural University, specializes in animal science with core expertise in animal genetics, molecular parasitology, and molecular biology. He holds an MPhil in Zoology from Cholistan University of Veterinary and Animal Sciences with specialization in advanced biological techniques and aquatic toxicology, and a BS in Zoology from Bahauddin Zakariya University, where he gained a strong foundation in genetics, microbiology, physiology, and environmental sciences. His professional experience includes extensive laboratory and research work involving DNA and RNA extraction, PCR amplification, gel electrophoresis, microscopy, protein analysis, immunohistochemistry, immunofluorescence, and animal handling, contributing to multidisciplinary projects focused on parasitic diseases, reproductive physiology, livestock health, and sustainable aquaculture. He has authored numerous peer-reviewed publications addressing heat stress, reproductive biology, parasitic prevalence, molecular diagnostics, aquatic toxicology, and nanoparticle applications, and has contributed several book chapters on veterinary vaccines, mRNA technologies, livestock genetics, and CRISPR-based improvement. His academic achievements are further strengthened by active participation in international research collaborations, scholarly contributions to reputable journals, and commitment to advancing scientific knowledge. At the end of his profile, his research metrics reflect growing global impact, with 53 citations, an h-index of 4, and an i10-index of 3.


Profile: Google Scholar


Featured Publications


Tariq M*, Heat Stress and Its Impact on Corpus Luteum (CL) Function and Reproductive Efficiency in Mammals: A Critical Review. Reproductive Sciences, Accepted.


Tariq M*, Prevalence of trypanosomiasis caused by Trypanosoma evansi in domestic ruminants from Southern Punjab, Pakistan. [Journal], Accepted.


Tariq M*, Assessment of Babesia spp. prevalence in various domestic animals across Southern Punjab, Pakistan. Brazilian Journal of Biology, 2024, 84, e277636.


Tariq M*, Melatonin Modulates Necroptosis and Enhances Antioxidant Defense during PGF-Induced Luteal Regression in Heat-Exposed Rats. Pakistan Veterinary Journal, 2025, 45(1).


Tariq M*, Phytoestrogens Modulate Bovine GPCRs and Regulate Reproductive Functions in Animals. Reproduction in Domestic Animals, 2025, 60(3), e70033.


Tariq M*, FOXM1 Inhibits SUV39H1 to Regulate the CSE/H₂S Pathway in Promoting Ferroptosis of Gastric Cancer Cells. Pakistan Veterinary Journal, 2025, 45(1).


Tariq M*, Cryptosporidium Infection in Goats: Prevalence, Risk Factors, and Diagnostic Techniques. Frontiers in Veterinary Science, 2024, 11, 1498682.


Tariq M*, Growth performance and antioxidant status of freshwater carp under brackish water rearing. Aquaculture, 2025, 596, 741691.