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.

šŸŽ“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.

šŸ¢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.

šŸ†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 Masterā€™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 Strengthā€“Ductility Trade-Off by Tailoring Grain-Boundary Metastable Si-Containing Phase in Ī²-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

 

 

 

Dr. Mengjuan Chen | Vision Measurement Award | Best Researcher Award

Dr. Mengjuan Chen | Vision Measurement Award | Best Researcher Award

Dr. Mengjuan Chen, Hiroshima University, China

Mengjuan Chen, born in September 1994 in Nanjing, Jiangsu, is a dedicated researcher in the fields of computer vision and robotic visual measurement. Currently pursuing her Ph.D. in Smart Innovation at Hiroshima University (Oct. 2021 – Sept. 2024), Mengjuan holds a Master’s degree in Control Engineering from the University of Chinese Academy of Sciences (Sept. 2016 – Jun. 2019) and a Bachelor’s degree in Automation from Beijing University of Chemical Technology (Sept. 2012 – Jun. 2016). Her impressive academic journey is adorned with numerous accolades, including a National Scholarship, “Merit Student” and “Excellent Student Cadre” awards from the Chinese Academy of Sciences, and top prizes in national industry automation competitions. Professionally, Mengjuan has been contributing to the Institute of Automation at the Chinese Academy of Sciences since July 2019, focusing on the research and development of structured light 3D cameras and high-speed 3D reconstruction systems. Additionally, she serves as the CEO of ZHONG KE SHI JIE (Nanjing) Technology Co., Ltd. Her experience also includes internships at Innovation Works AI Engineering Institute and Baidu, where she worked on visual algorithms and autonomous vehicle technology. Mengjuan’s technical skills and leadership in advancing robotic and computer vision technologies mark her as a notable figure in her field.

Professional Profile

Educational Background:

  • Oct. 2021-Sept. 2024: Smart Innovation Doctor, Hiroshima University šŸŽ“
  • Sept. 2016-Jun. 2019: Master in Control Engineering, University of Chinese Academy of Sciences šŸ“˜
  • Sept. 2012-Jun. 2016: Bachelor in Automation, Beijing University of Chemical Technology šŸ«

Awards and Recognitions:

  • National Scholarship šŸ†
  • ā€œMerit Studentā€ of Chinese Academy of Sciences šŸŒŸ
  • ā€œExcellent Student Cadreā€ of Chinese Academy of Sciences šŸŒ 
  • Siemens Cup Challenge for Industry Automation: National First Prize šŸ„‡
  • AB Cup Challenge for Industry Automation: National Second Prize šŸ„ˆ

Professional Experience:

  • Jul. 2019-Present: Scientific Researcher, Institute of Automation, Chinese Academy of Sciences šŸ§‘ā€šŸ”¬
    • Projects:
      • Development of Structured Light 3D Camera šŸ“ø
      • High-speed 3D Reconstruction and Point Cloud Analysis System for Moving Objects šŸŒ
      • Psychological Intelligence Perception and Big Data Analysis (Joint Laboratory) šŸ§ 
  • Nov. 2019-Present: CEO, ZHONG KE SHI JIE (Nanjing) Technology Co., Ltd šŸ¢

Internship Experience:

  • Jun. 2018-Sept. 2018: Visual Algorithm Intern, Innovation Works AI Engineering Institute šŸ¤–
    • Work Content: Developed detection and classification algorithm for bread automatic settlement machine products šŸž
  • Sept. 2015-Dec. 2015: Algorithm Intern, Baidu Business Department of Internet Vehicles šŸš—
    • Achievement: Secured a special offer in the Computer Vision Algorithm team of Baiduā€™s L4 unmanned vehicle department šŸŽÆ
  • Jul. 2014-Aug. 2014: Field Engineer, Schlumberger D&M Department šŸ›¢ļø

 

Publications Notes:šŸ“„

A Visual-Feedback-Based Active Light-Section 3-D Reconstruction Method for Moving Objects

PSAQ-ViT V2: Toward Accurate and General Data-Free Quantization for Vision Transformers

A Novel Dynamic Light-Section 3D Reconstruction Method for Wide-Range Sensing

Region Probability Map-Guided Fast Wide-Area Multiobject Detection

Relay Contact Performance Detection Based on High Precision 3D Point Cloud Registration

Modeling and Calibration of Active Thermal-Infrared Visual System for Industrial HMI