Assoc. Prof. Dr. Sun Young Kim | Target Tracking Awards | Best Researcher Award

Assoc. Prof. Dr. Sun Young Kim | Target Tracking Awards | Best Researcher Award 

Assoc. Prof. Dr. Sun Young Kim, Kunsan National University, South Korea

Dr. Sun Young Kim is an Associate Professor in the School of Mechanical Engineering at Kunsan National University, South Korea. She received her Ph.D. and M.S. degrees in Mechanical and Aerospace Engineering from Seoul National University in 2019 and 2015, respectively, following a B.S. degree in Electronic Engineering from Kookmin University in 1999. Dr. Kim has held various academic positions, including Assistant Professor roles at Kunsan National University and Sun Moon University, as well as a Postdoctoral Researcher at Sejong University. Her research spans a broad range of advanced technologies, including navigation systems, GNSS interference detection and mitigation, sensor fusion, SLAM, autonomous vehicles, target tracking and classification, fault detection, and deep learning. With a strong foundation in both theoretical and applied engineering, Dr. Kim is recognized for her contributions to intelligent navigation and control systems, making her a vital asset in the fields of autonomous systems and robotics.

Professional Profile:

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Summary of Suitability: Research for Best Researcher Award

Sun Young Kim holds a Ph.D. in Mechanical & Aerospace Engineering from Seoul National University (2019) and has since built a strong academic career in mechanical engineering, currently serving as an Associate Professor at Kunsan National University. With prior experience as an assistant professor and lecturer, as well as postdoctoral research in intelligent navigation and control systems, Sun Young Kim’s expertise spans navigation systems, GNSS interference detection and mitigation, multi-sensor fusion, autonomous vehicles, and deep learning. This interdisciplinary research portfolio demonstrates both depth and innovation in emerging fields crucial to modern engineering challenges. Given the combination of sustained research focus, academic leadership, and relevant expertise in advanced technologies, Sun Young Kim is a highly suitable candidate for the Research for Best Researcher Award.

🎓 Education

  • Ph.D. (Mar 2015 – Aug 2019)
    Department of Mechanical & Aerospace Engineering, Seoul National University, Seoul

  • M.S. (Mar 2013 – Feb 2015)
    Department of Mechanical & Aerospace Engineering, Seoul National University, Seoul

  • B.S. (Mar 1996 – Aug 1999)
    Department of Electronic Engineering, Kookmin University, Seoul

💼 Work Experience

  • Associate Professor (Apr 2023 – Present)
    School of Mechanical Engineering, Kunsan National University

  • Assistant Professor (Mar 2022 – Mar 2023)
    School of Mechanical Engineering, Kunsan National University

  • Assistant Professor (Mar 2020 – Feb 2022)
    School of Mechanical Convergence System Engineering, Kunsan National University

  • Lecturer (Sep 2019 – Feb 2020)
    Division of Smart Automotive Engineering, Sun Moon University

  • Postdoctoral Researcher (Sep 2019 – Feb 2020)
    Intelligent Navigation and Control Systems Laboratory, Sejong University

  • Assistant Researcher (Jan 2011 – Dec 2012)
    Automation and Systems Research Institute, Seoul National University

🏆 Achievements & Awards

  • Recognized for expertise in navigation systems, GNSS interference detection, and autonomous vehicle technologies.

  • Contributed significantly to multi-sensor fusion and deep learning applications in robotics and control systems.

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Ms. Congying Sun | Object Detection Awards | Best Researcher Award

Ms. Congying Sun | Object Detection Awards | Best Researcher Award 

Ms. Congying Sun, Xi’an University of Technology, China

Congying Sun, a native of Xianyang City, Shaanxi Province, is an emerging researcher specializing in control science, engineering, and multi-modal remote sensing technologies. She earned her Bachelor’s degree in Printing Engineering from Xi’an University of Technology in 2022 and is currently pursuing a Master’s degree in Control Science and Engineering at the same institution, expected to graduate in 2025. Her professional experience includes a tenure at the Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, where she played a pivotal role in developing an infrared-visible aircraft image dataset and deploying state-of-the-art infrared small target detection models. Congying has demonstrated her ability to merge academic excellence with practical application through her contributions to national and engineering projects, including research on multi-source collaborative intelligent perception technology for aircraft and non-cooperative multi-target classification and cognition technology.

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Suitability of Congying Sun for the Best Researcher Award

Congying Sun demonstrates exceptional qualifications and accomplishments, making her an outstanding candidate for the Research for Best Researcher Award. Below is a summary of her key achievements and strengths

🎓 Education

  • Master’s Degree in Control Science and Engineering (August 2022 – July 2025)
    🏫 Xi’an University of Technology
  • Bachelor’s Degree in Printing Engineering (September 2018 – July 2022)
    🏫 Xi’an University of Technology

🧑‍💻 Professional Experience

Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences (July 2023 – August 2024)

  • 📸 Independently created an infrared-visible aircraft image dataset, including camera selection, data collection, and image annotation.
  • 📝 Authored project proposals, research papers, and patents with great precision.
  • 🤖 Developed and deployed infrared small target detection models and multi-modal remote sensing image fusion detection models.

🚀 Research Projects

  • Multi-source Collaborative Intelligent Perception Technology for Aircraft (August 2023 – June 2024) ✈️
  • Non-cooperative Multi-target Classification and Cognition Technology (October 2023 – March 2024) 🎯

🏅 Achievements

  • Granted Invention Patents:
    • 📜 Infrared Small Target Detection Method (CN118762159A)
    • 📜 Multi-modal Feature Fusion Target Detection Model and Method (CN118865046A)

💡 Research Interests

🔍 Machine Learning | 🌍 Multi-modal Remote Sensing | 🎯 Target Detection

Congying Sun’s innovative approach, technical expertise, and impactful contributions to cutting-edge research make her a rising star in the field of control science and engineering. 🌟

Publication Top Notes:

Location-Guided Dense Nested Attention Network for Infrared Small Target Detection

MMYFnet: Multi-Modality YOLO Fusion Network for Object Detection in Remote Sensing Images