Mr. Lifu Deng | Radar Imaging | Best Researcher Award

Mr. Lifu Deng | Radar Imaging | Best Researcher Award

Mr. Lifu Deng, University of Science and Technology, China

Mr. Lifu Deng is an accomplished automation engineer currently associated with the University of Science and Technology Beijing, pursuing advanced studies in the School of Automation and Electrical Engineering. He also studied at Beijing University of Posts and Telecommunications and North China Electric Power University. With extensive experience at China Metallurgical Geotechnical Engineering Co., Ltd., Lifu has developed automation systems for blast furnaces and continuous casting. His skills encompass Python, MATLAB, MS Excel, Google Analytics, and MySQL. Notable projects include a National Natural Science Foundation of China-funded research on SAR imaging and automation control systems for the China Hebei Zongheng Iron and Steel Company. Lifu’s achievements include the China Metallurgical Science and Technology Award Second Prize in 2023.

Professional Profile:

Orcid

πŸŽ“ Education:

  • University of Science and Technology Beijing: School of Automation and Electrical Engineering (2014 – Present)
  • Beijing University of Posts and Telecommunications: School of Information and Communication Engineering (2015 – 2019)
  • North China Electric Power University: School of Electrical and Electronic Engineering (2010 – 2014)

πŸ’Ό Experience:

  • Automation Engineer – Automation, China Metallurgical Geotechnical Engineering Co., Ltd. (2014 – 2020, Beijing, China)
    • Developed automation systems for blast furnaces and continuous casting.

πŸ”§ Skills:

  • Development & Machine Learning: Python
  • Analytics & Visualization Tools: MATLAB, MS Excel, Google Analytics
  • Database Languages: MySQL

πŸ“‚ Projects:

  • National Natural Science Foundation of China funded project:
    • Research on SAR imaging of blast furnace and target feature extraction for FMCW radar system in complex environments.
  • China Hebei Zongheng Iron and Steel Company:
    • Blast furnace automation control system.

πŸŽ“ Certifications:

  • Machine Learning: SOLOLearn
  • Introduction to Python Programming: SOLOLearn
  • SQL Fundamental Course: SOLOLearn

πŸ† Achievements:

  • China Metallurgical Science and Technology Award Second Prize 2023

Publication Top Notes:

  • Title: Sub-Aperture Synthetic Aperture Radar Imaging of Fixed-Platform Beam-Steering Radar for Blast Furnace Burden Surface Detection
  • Journal: Sensors
  • Year: 2024