Dr. Li Qin | Monitoring Award | Best Researcher Award

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow

Prof. Tonghai Wu, Xi’an Jiaotong University, China

Prof. Tonghai Wu has been a distinguished member of Xi’an Jiaotong University (XJTU) since 2006. He completed his postdoctoral research at the Materials Science and Engineering Postdoctoral Station (XJTU) from 2008 to 2010. During 2013-2014, he was a visiting scholar at UNSW, where he collaborated with Prof. Peng on condition monitoring and built partnerships with Doc. Ngai Ming Kwok and Prof. Weihua Li on image processing and wear particle sensor technology. In January 2017, he was appointed professor at the School of Mechanical Engineering at XJTU and became the Dean in 2024. He currently leads the Machine Condition Monitoring research group at XJTU, guided by Prof. Yaguo Lei.

Summary of Suitability for the Best Researcher Award:

Professor Wu’s research expertise includes wear analysis, condition monitoring of mechanical systems, online monitoring technologies, and the development and application of artificial intelligence techniques for predicting performance and remaining useful life of mechanical systems. His research also integrates multiple techniques such as wear analysis, vibration, and oil monitoring for machine health monitoring.

Research Interests:

🔬 Prof. Wu specializes in wear analysis and condition monitoring of mechanical systems. His work focuses on:

On-line monitoring technologies for lubrication films and wear debris

In-situ inspection technologies using 3D image acquisition

Development and application of AI techniques for performance prediction and lifespan assessment

Integration of wear analysis, vibration, and oil monitoring for machine health

Awards and Service to the Profession:

🏆 Competitive Grants: Secured nearly 20 million RMB in funding for research on wear debris and condition monitoring.
🔧 Consultancy: Developed integrated on-line monitoring systems for wind turbines and ocean dredger ships. Consulted for major companies in wind power, oil refining, mining, and civil engineering.
🔬 Professional Activities: Reviewed manuscripts for top journals and served as a peer reviewer for NSFC. Member of the Society of Tribologists and Lubrication Engineers and China Mechanical Engineering Society. Guest Editor for the International Journal of Rotating Machinery.

Publication top Notes: