Prof. Dr. Yujun Song | Renewable Energy Systems | Research Excellence Award

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Prof. Hongbo Cheng | Smart Grids | Research Excellence Award

Prof. Hongbo Cheng | Smart Grids | Research Excellence Award

East China Jiaotong University | China

Prof. Hongbo Cheng is a researcher affiliated with East China Jiaotong University specializing in smart grids, power system grounding technologies, and electrical infrastructure reliability. He holds advanced academic training in electrical engineering with specialization in power systems and grid technologies. His professional experience includes research and academic contributions focused on improving transmission tower grounding, conductive concrete applications, and advanced grid interaction strategies involving electric vehicles and distribution networks. Prof. Cheng has contributed to multiple peer-reviewed publications addressing smart grid operation, grounding resistance reduction, corrosion mitigation in power systems, and electrothermal simulation of electrical infrastructure.

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Featured Publications

Resistance Reduction Scheme for Tower Grounding with Conductive Cement
Journal of Electrical Engineering and Technology – Journal Article

Analysis of Electrothermal Characteristics of Conductive Concrete Foundation of Power Tower
IOP Conference Series: Earth and Environmental Science – Conference Paper

An Interactive Strategy of Grid and Electric Vehicles Based on Master-Slaves Game Model
Journal of Electrical Engineering and Technology – Journal Article

A Preventive, Opportunistic Maintenance Strategy for the Catenary System of High-Speed Railways Based on Reliability
Proceedings of the Institution of Mechanical Engineers Part F – Journal Article

Dr. Shuqi Yao | Robot Interaction | Research Excellence Award

Dr. Shuqi Yao | Robot Interaction | Research Excellence Award

Shaanxi Normal University | China

Shuqi Yao is a researcher affiliated with Shaanxi Normal University, specializing in neuroscience, exercise physiology, and neurophysiological analysis of brain function. With an academic background in neuroscience-related disciplines, Yao has developed expertise in applying advanced techniques such as EEG and neurophysiological analysis to investigate the relationship between physical activity, brain function, and cognitive performance. Professionally, Yao contributes to collaborative research and interdisciplinary projects exploring brain–body interactions, rehabilitation approaches, and mental health improvement through exercise-based interventions.

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Featured Publications

Ms. Kavita Bodke | Image Processing | Research Excellence Award

Ms. Kavita Bodke | Image Processing | Research Excellence Award

Veermata Jijabai Technological Institute | India

Kavita Bodke is a Research Scholar at the Centre for Environmental Engineering, Veermata Jijabai Technological Institute (VJTI), specializing in image processing and advanced technologies for structural health monitoring. She holds academic training in engineering with a specialization in structural assessment and intelligent monitoring techniques. Her professional work focuses on applying image processing, binary image analysis, and deep learning methods to detect structural deterioration and measure crack characteristics in building infrastructures. Through her research, she contributes to the development of automated systems that enhance the accuracy and reliability of structural integrity evaluation. Kavita Bodke has authored several scholarly publications in reputable journals covering topics such as structural health monitoring, automated crack detection, and technology-driven infrastructure assessment. Her work supports advancements in smart monitoring solutions for sustainable and safe built environments and reflects her active engagement in the academic research community.

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