Prof. Sheng Su | Smart Metering Awards | Best Researcher Award

Prof. Sheng Su | Smart Metering Awards | Best Researcher Award 

Prof. Sheng Su, Changsha University of Science and Technology, China

Su Sheng is a Professor at Changsha University of Science and Technology, College of Electrical and Information Engineering. He received his B.S., M.S., and Ph.D. degrees from Wuhan University of Hydraulic and Electric Engineering, Wuhan University, and Huazhong University of Science and Technology (HUST) in 1998, 2002, and 2009, respectively. Since joining Changsha University of Science and Technology as a faculty member in 2002, he has contributed significantly to power system safety and reliability. He was a visiting researcher at The Hong Kong Polytechnic University from 2004 to 2007 and a postdoctoral fellow at HUST from 2009 to 2012. Prof. Su has been a senior member of IEEE since 2018 and a key figure in Hunan Province’s academic and research community, recognized as a young key teacher and a “121-talent” of the New Century since 2011. He is an active member of the Committee of Electricity Supply and Use Safety Technology of the Chinese Society of Electrical Engineering and serves as a reviewer for the National Natural Science Foundation of China and multiple scientific journals. As the principal investigator of two NSFC projects and several provincial and ministerial research initiatives, his work has led to over 160 published papers and 20 authorized patents. His contributions to power system safety, electricity theft detection, and the impact of climatic disasters on power infrastructure have been widely recognized, earning him multiple national and provincial awards, including a Second-Class Prize of National Technological Invention and the Hunan Provincial Science and Technology Innovation Team Award.

Professional Profile:

ORCID

Suitability of Prof. Su Sheng for the Best Researcher Award

Based on the provided details, Prof. Su Sheng appears to be a highly accomplished researcher in the field of electrical and information engineering, particularly in power system safety, anomaly detection, and the impact of climatic disasters on power grids. Below is an assessment of his suitability for the Best Researcher Award.

🎓 Education:

  • B.S. (1998) – Wuhan University of Hydraulic and Electric Engineering
  • M.S. (2002) – Wuhan University
  • Ph.D. (2009) – Huazhong University of Science and Technology (HUST)

💼 Work Experience:

  • Faculty Member (2002–Present) – Changsha University of Science and Technology
  • Visiting Researcher (2004–2007) – The Hong Kong Polytechnic University
  • Postdoctoral Fellow (2009–2012) – Huazhong University of Science and Technology
  • Reviewer – National Natural Science Foundation of China (NSFC) & several provincial projects
  • Committee Member (Since 2022) – Electricity Supply and Use Safety Technology, Chinese Society of Electrical Engineering
  • Senior Member of IEEE (2018) ⚡

🏆 Awards & Honors:

  • 🎖️ 2nd-Class Prize – National Technological Invention Award
  • 🥇 3x First-Class Provincial Prize – National Technological Invention
  • 🏅 Hunan Provincial Science and Technology Innovation Team Award
  • 🌟 Young Key Teacher in Hunan Province (Since 2011)
  • 🚀 121-Talent of the New Century in Hunan Province (Since 2011)

📊 Research & Achievements:

  • Principal Investigator (P.I.) of 2 NSFC projects and 6 provincial/ministerial projects (including key R&D projects of Hunan Province)
  • Co-Investigator (C.I.) of a National Key R&D Program project and NSFC key project
  • 📚 160+ Papers published in peer-reviewed journals
  • 🔬 20+ Authorized Patents

Publication Top Notes:

Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information

Anomaly detection of photovoltaic power generation based on quantile regression recurrent neural network

Electricity Theft Detection of Residential Users With Correlation of Water and Electricity Usage

Spectro-Temporal Self-Similarity Based Identification of Corrupted Acoustic Signal of Distribution Transformer in Noisy Environment

Electric Vehicles Scale Evolution Model Considering Social Attributes