Prof. Junhao Li | Sensors Design | Best Innovation Award

Prof. Junhao Li, Xi’an Jiaotong University, China

Junhao Li is a Full Professor at Xi’an Jiaotong University, where he is actively engaged in teaching and research in the field of electrical engineering. His research primarily focuses on two key areas: fault diagnosis of power equipment, including power transformers and gas-insulated switchgear (GIS), and on-site testing for power equipment, particularly impulse testing for GIS and transformers. His work on partial discharge (PD) research explores PD characteristics under various voltage waveforms, employing optical, UHF, and acoustic measurement techniques along with PD pattern recognition. Additionally, his studies on impulse testing address waveform adjustments, distortion effects, equipment protection methods, and insulation breakdown mechanisms in SF₆ gas and oil-paper insulation.

Professional Profile:

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Summary of Suitability for Best Innovation Award conclusion

Junhao Li is a highly accomplished researcher in the field of electrical engineering, particularly in power equipment fault diagnosis, partial discharge (PD) measurement, and onsite testing for power equipment. His contributions to PD detection techniques, integration of optical and UHF methods, and advancements in impulse testing are innovative and impactful.

Education 🎓:

Specific details about Professor Li’s educational background are not provided in the available information.

Work Experience 🏫:

Full Professor at Xi’an Jiaotong University: Engaged in teaching and research in electrical engineering, focusing on fault diagnosis of power equipment and on-site testing for power equipment.

Achievements and Honors 🏆:

Research Contributions: Specializes in partial discharge research, examining characteristics under various voltage waveforms, and developing measurement and pattern recognition methods.
On-Site Testing Innovations: Focuses on on-site impulse testing for GIS and power transformers, including waveform adjustment methods and equipment protection strategies.
Professional Recognitions:
- Fellow of the Institution of Engineering and Technology (IET)
- Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
- Editorial Board Member of the Chinese journal “High Voltage Apparatus”
- Member of the CIGRE D1 China Committee
- Member of CIGRE Working Groups D1.66 and B3.50
- Member of IEC TC 17 / SC 17C AHG41
- Executive Member of the IEEE PES Smart Grid and New Technology Committee (China)
- Associate Editor of IEEE Transactions on Dielectrics and Electrical Insulation

Professor Li has published numerous papers in IEEE Transactions focusing on transformers and liquid insulation. He is committed to enhancing the relationship between international electrical insulation publications and China, aiming to expand their influence and contribute to their success.

Publication Top Notes:

Review on partial discharge measurement technology of electrical equipment

CITED:182

Digital detection, grouping and classification of partial discharge signals at DC voltage

CITED:144

A novel GIS partial discharge detection sensor with integrated optical and UHF methods

CITED:143

Partial discharge characteristics over differently aged oil/pressboard interfaces

CITED:85

A novel PD detection technique for use in GIS based on a combination of UHF and optical sensors

CITED:79

Investigation of a comprehensive identification method used in acoustic detection system for GIS

CITED:77

Assoc Prof Dr. Xiangmin Hu, Dalian University of Technology, China

Dr. Xiangmin Hu is an Associate Professor at Dalian University of Technology, China, with a strong background in intelligent sensing, optoelectronic devices, and hyperspectral imaging (HSI). He earned his B.S. degree in Applied Physics and M.S. degree in Physics from Beijing Institute of Technology, followed by a Ph.D. in Mechanical Engineering from Tsinghua University. His research focuses on combining artificial intelligence with optical research, particularly in HSI technology and systems. Dr. Hu has made significant contributions to the field, including enhancing detection capabilities of nanoscale defects using image processing algorithms, developing innovative spectrometer technology, and applying machine learning to improve quantum dot light-emitting diodes (QLEDs). He has published 18 research papers with over 2,000 citations and an H-index of 8. His work has earned him six national patents (four authorized) and several prestigious awards, including the Youth Fund of the National Natural Science Foundation of China and the Postdoctoral Science Foundation of China. Prior to his academic career, he worked as an AI algorithm engineer at BYD Company.

Summary of Suitability for Best Researcher Award:

Dr. Xiangmin Hu is a highly accomplished researcher specializing in intelligent sensing/detection, optoelectronic devices, and hyperspectral imaging (HSI). His multidisciplinary research spans artificial intelligence (AI), materials science, and optoelectronic sensing, making him a strong contender for the Best Researcher Award. Below are key factors supporting his eligibility:

Education:

2009.09 – 2013.06: B.S. degree in Applied Physics, Beijing Institute of Technology.
2013.09 – 2016.03: M.S. degree in Physics, Beijing Institute of Technology.
2018.09 – 2022.06: Ph.D. degree in Mechanical Engineering, Tsinghua University.

Work Experience:

2016.11 – 2018.01: AI Algorithm Engineer, BYD Company.
2022.07 – 2024.09: Post-doctoral Researcher, Beijing Institute of Technology.
2024.09 – Present: Associate Professor, Dalian University of Technology.