Assoc. Prof. Dr. Jiansheng Yang, Guizhou University, Best Researcher Award
Assoc. Prof. Dr. Jiansheng Yang, is a distinguished academic in the field of electrical engineering. He earned his Ph.D. from the University of Sheffield, UK, in 2016, where he developed a strong foundation in advanced engineering research. Currently serving as an Associate Professor at the College of Electrical Engineering, Guizhou University, China, Dr. Yang is actively involved in interdisciplinary research that integrates combustion diagnostics, machine vision, and machine learning. His work bridges traditional engineering with intelligent systems, focusing on the development of innovative diagnostic tools and smart technologies for industrial and energy applications. With a passion for applying machine learning techniques to enhance precision in combustion systems, Dr. Yang’s research is both impactful and timely. His academic journey and research contributions reflect a commitment to excellence and innovation, positioning him as a rising leader in his field and a valuable contributor to modern engineering challenges.
Publication Profile
Scopus
🎓 Educational Background
Dr. Jiansheng Yang earned his Ph.D. from the prestigious University of Sheffield, UK, in 2016. This demonstrates a strong foundation in international research education and exposure to advanced academic methodologies, which contributes positively to his academic profile.
🔬 Research Interests
Dr. Yang’s research focuses on combustion diagnostics, machine vision, and machine learning — a multidisciplinary combination of critical and emerging technologies. This intersection is essential for modern engineering, AI integration, and energy innovation, reflecting a forward-thinking and impactful research agenda.
Publication Top Notes
📄 “A Novel Method for Spectral and Spatial Characterisation of Flames Using a Custom-Developed Hyperspectral Imaging System” – Fuel, 2025
📄 “Optimal Design of Digital Analysis Filters Based on PSO-BPNN for Aliasing Errors Cancellation in HFB DAC” – Engineering Letters, 2025