Prof Wanrun Li | Vision Sensing | Best Researcher Award

Prof Wanrun Li | Vision Sensing | Best Researcher Award

Prof Wanrun Li, Lanzhou University of Technology, China 

Professor Wanrun Li is a distinguished academic and researcher in Structural Health Monitoring, currently serving as the Vice Dean of the School of Civil Engineering at Lanzhou University of Technology, China. With a focus on fatigue analysis, wind turbine vibration control, and structural health monitoring, he has led numerous research projects funded by national and regional foundations. His work has significantly contributed to understanding the seismic performance of super-tall buildings, damage identification, and fatigue life prediction of wind turbines. He has held multiple leadership roles, including Associate Professor and department head, and has been a visiting scholar at prestigious institutions.

Professional Profile:

Suitability for the Best Researcher Award: 

Professor Wanrun Li’s extensive research portfolio, leadership in high-stakes projects, and contributions to structural engineering make him a strong candidate for the Best Researcher Award. His work in wind turbine vibration control and fatigue analysis is critical for the advancement of sustainable energy infrastructure. However, to strengthen his candidacy, broadening the impact of his research on industry standards and further enhancing global outreach would be valuable steps forward. Overall, his dedication to innovative research and significant contributions to civil engineering position him as a deserving nominee for this prestigious award.

Education

Professor Wanrun Li earned his Ph.D. in Structural Engineering from Lanzhou University of Technology in 2013, specializing in Structural Health Monitoring under the guidance of Prof. Yongfeng Du and Prof. Y.Q. Ni. He was also a joint-supervised Ph.D. candidate at Hong Kong Polytechnic University from 2011-2012. His academic background includes an M.S. in Disaster Prevention and Mitigation from Lanzhou University of Technology (2010) and a B.S. in Civil Engineering from the same institution (2008). His education laid the foundation for his expertise in monitoring structural health and analyzing the fatigue of civil structures.

Work Experience

Wanrun Li has over a decade of academic and research experience. Currently, he is a Professor and Vice Dean at Lanzhou University of Technology. He previously served as an Associate Professor and Head of the Department of Building Engineering. His international experience includes being a visiting scholar at the University of Illinois Urbana-Champaign and Southeast University, China. Over the years, he has led research initiatives focused on vibration control, fatigue life prediction, and damage identification in large structures such as wind turbines and high-rise buildings.

Skills

Professor Li’s technical expertise includes advanced knowledge in Structural Health Monitoring, Wind Turbine Vibration Control, and Weld Fatigue Analysis. His skills extend to predictive modeling, statistical pattern recognition, and seismic data analysis. He is proficient in developing new devices for vibration reduction, using machine vision technology for turbine blade detection, and applying experimental and multi-scale simulation techniques for assessing fatigue in steel structures. His proficiency with numerical modeling, experimental research, and structural design underpins his research and teaching efforts.

Awards and Honors

Wanrun Li has been recognized with multiple prestigious awards, including the Hongling Outstanding Young Scholar Award at Lanzhou University of Technology (2019-2021) and the Science Fund for Distinguished Young Scholars of Gansu Province (2021-2024). His work has earned several grants from the National Natural Science Foundation of China (NSFC), totaling over ¥1.9 million for projects related to wind turbine structures and vibration control. These honors affirm his significant contributions to structural engineering and disaster prevention.

Membership

Professor Li is actively engaged in several professional organizations, contributing to the advancement of structural health monitoring and civil engineering. He collaborates closely with renowned research groups and institutions, including the University of Illinois Urbana-Champaign and Southeast University. His membership in national scientific communities has enabled him to secure significant research funding and present his findings in both domestic and international conferences.

Teaching Experience

With a passion for mentoring, Professor Li has been an academic instructor at Lanzhou University of Technology since 2013, progressing from instructor to professor. As a faculty member, he has taught courses related to Structural Engineering, Civil Engineering, and Structural Health Monitoring. His role as the Chief Duty Professor for the Hongliu Top-class Major in Civil Engineering reflects his commitment to academic excellence. He also supervises graduate students, guiding them through research projects and fostering a collaborative learning environment.

Research Focus

Professor Li’s research is centered on Structural Health Monitoring, Weld Fatigue Analysis, and Vibration Control of Wind Turbines. He is particularly interested in seismic data analysis of tall structures, wind-induced fatigue of turbines, and developing new devices for reducing tower vibrations. His projects include studies on vibration control using tuned liquid column dampers and fatigue life prediction of wind turbines in harsh environments. His innovative work integrates machine vision technology and UAVs for turbine blade detection, and he has contributed significantly to enhancing structural safety and durability.

Publication top Notes:

“Wind turbine blade defect detection and measurement technology based on improved SegFormer and pixel matching”

    • Year: 2024
    • Journal: Optics & Laser Technology
    • DOI: 10.1016/j.optlastec.2024.111381

“Mitigation of In-Plane Vibrations in Large-Scale Wind Turbine Blades with a Track Tuned Mass Damper”

    • Year: 2023
    • Journal: Structural Control and Health Monitoring
    • DOI: 10.1155/2023/8645831

“Dynamic Characteristic Monitoring of Wind Turbine Structure Using Smartphone and Optical Flow Method”

    • Year: 2022
    • Journal: Buildings
    • DOI: 10.3390/buildings12112021

“Dynamic Characteristics Monitoring of Large Wind Turbine Blades Based on Target-Free DSST Vision Algorithm and UAV”

    • Year: 2022
    • Journal: Remote Sensing
    • DOI: 10.3390/rs14133113

“Seismic Vibration Mitigation of Wind Turbine Tower Using Bi-Directional Tuned Mass Dampers”

    • Year: 2020
    • Journal: Mathematical Problems in Engineering
    • DOI: 10.1155/2020/8822611

“Low-cycle fatigue test and life assessment of carbon structural steel GB Q235B butt joints and cruciform joints”

    • Year: 2019
    • Journal: Advances in Structural Engineering
    • DOI: 10.1177/1369433218795292

“Seismic Performance of a New Precast Concrete Shear Wall with Bolt Connection”

    • Year: 2019
    • Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Science
    • DOI: 10.15961/j.jsuese.201801163

“Time-Varying Nonlinear Parametric Identification of Isolated Structure Based on Wavelet Multiresolution Analysis”

    • Year: 2019
    • Journal: Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
    • DOI: 10.16450/j.cnki.issn.1004-6801.2019.03.024

“Welding Residual Stress Simulation and Experimental Verification in Beam-to-Column Joints of Q345B Steel”

    • Year: 2019
    • Journal: Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)
    • DOI: 10.12141/j.issn.1000-565X.190044

 

Assoc. Prof. Dr.Dongdong Li | Vision Sensing Award| Best Researcher Award

Assoc. Prof. Dr.Dongdong Li | Vision Sensing Award| Best Researcher Award

Assoc. Prof. Dr.Dongdong Li ,National University of Defense Technology,China

Dr. Dongdong Li is an Associate Researcher and Master Tutor at the College of Electronic Science and Technology, National University of Defense Technology (NUDT), Hunan, China. He also serves as the deputy director of the “Distributed Reconnaissance and Countermeasures” program and leads the Vision4Drone research team. Dr. Li earned his PhD in Information and Communication Engineering from NUDT in 2018, with his research focusing on robust visual tracking and UAV vision systems. His academic journey includes a joint doctoral program at the Australian National University and a master’s degree from NUDT. Dr. Li has received several prestigious awards, including the Military Scientific and Technological Progress Second Prize and the Outstanding Doctoral Dissertation Nomination from the China Education Society. He has been recognized as a leading young scientist by various institutions and has presided over numerous significant research projects. Dr. Li is actively involved in editorial and guest editing roles for several high-impact journals and conferences.

Professional Profile:

Google Scholar

Summary of Suitability for the Best Researcher Award: Dongdong Li

Dongdong Li exemplifies the qualities of a leading researcher through his substantial contributions to computer vision and drone technology. His leadership in groundbreaking research, recognition through prestigious awards, active involvement in academic publications and editorial roles, and dedication to teaching and mentorship collectively position him as a highly suitable candidate for the Best Researcher Award. His work not only advances scientific understanding but also has practical implications for technology development and application.

🎓Education:

Dr. Dongdong Li earned his PhD in Information and Communication Engineering from the National University of Defense Technology (NUDT), Changsha, Hunan, China, in December 2018. His dissertation, titled “When Correlation Filters Meet Siamese Networks for Robust Visual Tracking,” was recognized as an Outstanding Doctoral Dissertation of Hunan Province and was supervised by Prof. Gongjian Wen. He completed his Master’s in Information and Communication Engineering at NUDT in December 2014, with his thesis on “Research on Cross-ratio Based Camera Calibration and Vibration Correction in Digital Steak Photogrammetric Measurement,” which received the Excellent Master Dissertation of Hunan Province award, also under the supervision of Prof. Gongjian Wen. Dr. Li obtained his Bachelor’s in Information and Communication Engineering from Wuhan University, China.

🏢Work Experience:

Dr. Dongdong Li has held several prominent academic positions. Since October 2021, he has been an Associate Professor at the College of Electronic Science and Technology, National University of Defense Technology (NUDT), Changsha, Hunan, China. He has also been serving as a Postdoctoral Fellow at the School of Aerospace Science, NUDT, since August 2021, under the guidance of Academician Qifeng Yu. Prior to these roles, Dr. Li was a Lecturer at the School of Electronic Science, NUDT, from December 2018 to September 2021, where he worked with Professor Gongjian Wen. He participated in a Joint Doctoral Program at the School of Computer Science and Engineering, Australian National University, from February 2017 to February 2018, with Professor Fatih Porikli as his co-supervisor. Dr. Li conducted his PhD research at NUDT from March 2015 to December 2018 and completed his Master’s research there from September 2012 to December 2014.

🏆Awards:

Dr. Dongdong Li has received several notable awards for his contributions to his field. In 2020, he was honored with the Second Prize of Military Scientific and Technological Progress and the Outstanding Doctoral Dissertation Nomination Award from the China Education Society. He also received the Excellent Paper Nomination Award at the China Information Fusion Conference in 2021 and the Hunan Province Excellent Doctoral Dissertation Award in the same year. In 2017, he was recognized with the Hunan Excellent Master’s Degree Thesis Award. Dr. Li’s achievements extend to competitive events as well, with his team winning the Graduate Electronic Design Competition National Finals First Prize in 2022. He also served as the Second Prize Instructor for the Army’s “Maker Action-2022” Big Data Application Track and was an advisor for teams that earned Third Prizes at both the 5th China Graduate Robot Innovation Design Competition and the 5th China Graduate Artificial Intelligence Innovation Competition in 2023.

Publication Top Notes:

  • Title: Bioinspired Multi-Stimuli Responsive Actuators with Synergistic Color-and Morphing-Change Abilities
    • Citations: 127
  • Title: Template-Based Synthesis and Magnetic Properties of Cobalt Nanotube Arrays
    • Citations: 126
  • Title: Overcoming the Strength–Ductility Trade-Off by Tailoring Grain-Boundary Metastable Si-Containing Phase in β-Type Titanium Alloy
    • Citations: 100
  • Title: Flexible Solar Cells Based on Foldable Silicon Wafers with Blunted Edges
    • Citations: 95
  • Title: The Study on Oxygen Bubbles of Anodic Alumina Based on High Purity Aluminum
    • Citations: 82