Prof Dr. Zhong Su | Cyber-Physical Systems | Best Researcher Award
Prof Dr. Zhong Su, Beijing Information Science & Technology University, China
Prof. Dr. Zhong Su is a distinguished professor and the Dean of the Academic Committee at Beijing Information Science & Technology University, where he also directs the Beijing Key Laboratory of High Dynamic Navigation Technology. With a robust academic foundation from Beijing Institute of Technology, including a Bachelor’s in Automatic Control, a Master’s in Computer Control, and a Ph.D. in Physical Electronics and Photoelectronics, Prof. Su specializes in autonomous positioning and control for intelligent autonomous systems and robotics. His prolific career includes leading over 40 projects, securing 58 invention patents, and publishing over 110 high-level papers. Recognized with accolades such as National Excellent Teacher and Beijing Scholar, Prof. Su’s work has significantly advanced the fields of image recognition and deep learning, impacting both national and international research landscapes.
Professional Profile:
Scopus
Suitability for the Research for Best Researcher Award
Prof. Dr. Zhong Su is a highly suitable candidate for the Research for Best Researcher Award due to his extensive contributions and leadership in the field of Intelligent Autonomous Systems and Robotics. His distinguished career is marked by substantial research achievements, influential academic roles, and significant contributions to national and international projects.
Dean and Professor, Beijing Information Science & Technology University 🎓
Prof. Dr. Zhong Su is a distinguished professor at Beijing Information Science & Technology University and the Dean of the Academic Committee. He also serves as the Director of the Beijing Key Laboratory of High Dynamic Navigation Technology.
Academic Background and Qualifications 📚
Prof. Su completed his Bachelor’s in Automatic Control, Master’s in Computer Control, and Ph.D. in Physical Electronics and Photoelectronics, all from Beijing Institute of Technology. His extensive education underpins his expertise in intelligent autonomous systems and robotics.
Professional Experience 💼
Dr. Su has held significant roles throughout his career, including positions at The State-Owned 5027 Factory, Qinghai Normal University, and Beijing Institute of Information Engineering. Since 2019, he has been a key figure at Beijing Information Science & Technology University.
Research Interests and Contributions 🔬
Prof. Su’s research focuses on autonomous positioning and control within intelligent autonomous systems and robotics. He has led over 40 projects, including national key R&D plans and international cooperation projects. His work has resulted in 58 authorized invention patents, numerous high-level publications, and substantial economic benefits exceeding 3 billion RMB.
Professional Affiliations and Honors 🏆
He is a Vice Chairman of the China Inertial Technology Metrology Technical Committee and has served as an executive director for the China Simulation Federation. Prof. Su has received several accolades, including National Excellent Teacher and Beijing Scholar, and has been recognized for his contributions with multiple prestigious awards.
Innovations and Impact 🚀
Dr. Su has published over 110 high-level papers and 5 monographs, contributing significantly to advancements in image recognition and deep learning for complex environments. His leadership and groundbreaking research continue to impact the fields of autonomous systems and robotics.
Publication Top Notes:
Title: Structural Optimization and Excitation Method of Metal-Shell Resonator Gyroscope Driven by Composite Electrodes
Year: 2023
Title: Robust Multi-Constraint Map Matching Algorithm for Personal Inertial Positioning
Year: 2023
Title: Image Recognition Method for Micropores Inside Small Gas Pipelines
Year: 2023
Title: Deep Learning-Based Laser and Infrared Composite Imaging for Armor Target Identification and Segmentation in Complex Battlefield Environments
Citations: 4
Year: 2023
Title: Research on Channel Characteristics and Electrode Electrical Performance of Earth Current Field Information Transmission Technology
Year: 2023