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

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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:

ORCID

GOOGLE SCHOLAR

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.

Publication Top Notes:

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Mr. Matyas Lukacs | Traceability Award | Young Scientist Award

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Mr. Matyas Lukacs | Traceability Award | Young Scientist Award

Mr. Matyas Lukacs, Hungarian University of Agriculture and Life Sciences, Hungary

Mátyás Krisztián Lukács, in Hungary, is a food scientist and research engineer specializing in food quality assessment, tracking solutions, and digitalization of the food industry. He is currently pursuing a Ph.D. in Food Science at the Hungarian University of Agriculture and Life Sciences while working as a Professional Coordinator at Neumann Nonprofit Kft. and a Research Engineer at Cibus Hungaricus. With extensive experience in analytical method development, product development, and laboratory accreditation, he has contributed to food industry advancements in Hungary. He has also served as a visiting researcher at the University of Innsbruck and the University of Novi Sad. In addition to his research and industry roles, he is an active lecturer and mentor, teaching courses on cloud-based AI computing and measurement techniques.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability Young Scientist Award

Mátyás Krisztián Lukács is a strong candidate for the Young Scientist Award, given his extensive experience in food science, traceability, and digital solutions. His PhD research, international collaborations, and impactful publications in sensor technology, spectroscopy, and blockchain applications for food quality assessment highlight his innovative contributions. Additionally, his teaching experience and mentorship further demonstrate his dedication to knowledge dissemination. With a robust publication record and a multidisciplinary approach, his work significantly advances food science and technology, making him highly suitable for this award.

🎓 Education

📌 BSc in Food Engineering (2011 – 2014)
Corvinus University of Budapest, Hungary

  • Specialization: Food Preservation and Quality Management

📌 MSc in Food Engineering (2015 – 2017)
Szent István University, Hungary

  • Specialization: Food Technology and Product Development

📌 PhD in Food Science (2022 – Present)
Hungarian University of Agriculture and Life Sciences, Hungary

📌 Visiting Researcher
🔹 University of Innsbruck, Austria (June 2023 – August 2023)
🔹 University of Novi Sad, Serbia (September 2024 – October 2024)

💼 Work Experience

📍 Professional Coordinator (May 2024 – Present)
Neumann Nonprofit Kft., Budapest, Hungary

  • 🚀 Developing a track and tracing application based on European Blockchain Services Infrastructure (EBSI)
  • 🤝 Managing consortium-related communications

📍 Research Engineer (February 2024 – Present)
Cibus Hungaricus, Budapest, Hungary

  • 🏭 Developing tracking solutions for food quality assessment
  • 📊 Analyzing and presenting data from the Hungarian food industry
  • 🌍 Contributing to the digitalization of the Hungarian food sector

📍 Analytical Method Developer (January 2019 – August 2020)
Biotech USA, Szada, Hungary

  • 🧪 Established an analytical laboratory for internal quality assurance
  • 🏆 Developed methods for macronutrient analysis and allergen detection
  • 🔬 Managed laboratory equipment acquisition and accreditation process

📍 Product Developer (July 2017 – December 2018)
Biotech USA, Budapest, Hungary

  • 🏗️ Developed new food products and variations
  • 🔍 Evaluated suppliers and raw materials
  • 👅 Conducted sensory analysis

📍 Internships
🔬 Process & Method Development Intern (July 2016 – August 2016) – Scitec Nutrition, Dunakeszi
📊 Quality Management Intern (July 2014 – October 2014) – Scitec Nutrition, Dunakeszi

🎖️ Achievements, Awards & Honors

🏅 Lecturer & Mentor

  • 📡 Lecturer: Introduction to Cloud-Based AI Computing for Engineers
  • 🛠️ Practical Lecturer: Measurement Techniques, Post-Harvest Technology
  • 🎓 MSc Student Thesis Co-Supervisor
  • 🤝 Internship & Living Lab Mentorship (EUDRES)

🌱 Volunteering

  • 🙏 Served at a Vipassana Meditation Course in Switzerland (July 2023)

🎯 Technical Skills

  • 🎨 Adobe Creative Suite (Photoshop, Animate, Audition, Premiere Pro)
  • 📊 R Studio
  • ☁️ Microsoft Azure Fundamentals & AI Fundamentals
  • 🏢 Microsoft Office (Excel, Word, PowerPoint, Outlook)

Publication Top Notes:

Advanced Digital Solutions for Food Traceability: Enhancing Origin, Quality, and Safety Through NIRS, RFID, Blockchain, and IoT

 

Investigation of the Ultrasonic Treatment-Assisted Soaking Process of Different Red Kidney Beans and Compositional Analysis of the Soaking Water by NIR Spectroscopy

 

Comparison of Multiple NIR Instruments for the Quantitative Evaluation of Grape Seed and Other Polyphenolic Extracts with High Chemical Similarities

Development of state-of-the-art correlative rapid methods for the non-destructive control of fruit products