Prof. Junhao Li | Sensors Design | Best Innovation Award

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:

GOOGLE SCHOLAR

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

 

 

 

 

 

Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Dr. Rui Yang | Sensor protection Awards | Best Researcher Award

Dr. Rui Yang, Guilin University of Electronic Technology, China

Rui Yang, Ph.D., is currently a doctoral candidate at the School of Computer and Information Security at Guilin University of Electronic Science and Technology, where he is specializing in deepfake detection. He obtained his Master’s degree from the same university, focusing on small-scale face detection in complex backgrounds. His research interests lie at the intersection of computer vision, machine learning, and multimedia security. Rui has contributed significantly to the field through several publications in prestigious journals, including IEEE Signal Processing Letters and ACM Transactions on Multimedia Computing, Communications, and Applications. His recent works explore advanced techniques in deepfake video detection, image captioning, and unsupervised models. Additionally, he has co-authored papers presented at international conferences, further demonstrating his expertise in applying artificial intelligence to multimedia security. Rui’s innovative contributions aim to enhance the detection and understanding of manipulated digital media.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Rui Yang, a Ph.D. candidate at Guilin University of Electronic Science and Technology, is a promising and accomplished researcher specializing in deepfake detection, with an impressive academic background and significant contributions to the field. His research focuses on cutting-edge techniques in deepfake detection, image captioning, and small-scale face detection, making him highly qualified for the Best Researcher Award.

🎓 Education

  • 2021 – 2024: Ph.D., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Research direction: Deepfake detection
  • 2018 – 2021: M.E., Guilin University of Electronic Science and Technology, School of Computer and Information Security
    Thesis title: Small-scale Face Detection in Complex Backgrounds
  • 2014 – 2018: B.E., Yibin College, Computer Science and Technology
    Thesis title: Restoration of Gaussian Blurred Images

💼 Work Experience

  • Guilin University of Electronic Science and Technology
    Position: Ph.D. Student and Researcher in Computer and Information Security (Deepfake detection research)
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