Lin Lin | Engineering | Best Researcher Award

Prof. Lin Lin | Engineering | Best Researcher Award

Civil Aviation Flight University of China | China

Author Profile

Scopus

Orcid

🎓 Early Academic Pursuits

Prof. Lin Lin embarked on her academic journey with a Master’s degree in 2009 from the University of Electronic Science and Technology of China, a leading institution in engineering and technology. Her formative training laid a strong foundation in electronic systems and communication technologies, which she later elevated through her role as a senior engineer. Her early interest in flight navigation and safety matured into a lifelong commitment to research-driven solutions in civil aviation.

🛠️ Professional Endeavors

As a Professorate Senior Engineer at the Key Laboratory of Flight Techniques and Flight Safety, Civil Aviation Flight University of China, Prof. Lin Lin plays a pivotal role in developing cutting-edge solutions for modern aviation systems. Her work primarily focuses on ADS-B, Beidou, GPS, MLAT, and airborne equipment—technologies that enhance real-time aircraft tracking and aviation safety. In parallel, she has collaborated extensively on over 20 consultancy projects with major international aviation organizations including the Civil Aviation Authority of Singapore (CAAS) and Commercial Aircraft Corporation of China Ltd (COMAC), ensuring practical implementation and real-world impact.

🔬 Contributions and Research Focus

Prof. Lin Lin’s research direction is both technically advanced and industry-critical. She has led and completed over 30 major R&D projects, including:

🔹 Development of ADS-B-based dynamic multi-link surveillance technologies for UAVs
🔹 Integration of Beidou systems for all-airspace navigation
🔹 Low-cost transponder designs for general aviation vehicles

Her innovations contribute directly to modernizing air traffic control systems, improving safety standards, and enabling intelligent swarm UAV navigation and anomaly detection systems. Her focus on real-time surveillance, data communication, and interference mitigation positions her as a thought leader in airworthiness and navigation science.

📚 Accolades and Recognition

Prof. Lin Lin’s technical acumen is validated by over 20 patents, such as:

🔸 Collision Detection Method Based on ADS-B (Patent No. 2028340)
🔸 Optimization of Data Two-way Communication Based on ADS-B (ZL202310660337.4)
🔸 Anti-Interference Detection for ADS-B Ground Stations (201811530142.3)

She is also the author of 8 research papers indexed in SCI, Scopus, and EI, published in high-impact venues such as:

🛰 Drones
📶 Wireless Communications & Mobile Computing
🧠 Computer Simulation
📡 Journal of Electromagnetic Engineering and Science

🌍 Impact and Influence

Prof. Lin’s contributions are reshaping the landscape of modern aviation surveillance. Her pioneering work in next-gen airspace management systems, including A-SMGCS and LSTM-based anomaly detection, is being adopted and referenced globally. Her research ensures that both manned and unmanned aerial vehicles operate more safely, efficiently, and collaboratively. She is frequently cited in international conferences, including SPIE, Lecture Notes in Electrical Engineering, and Communications in Computer and Information Science (CCIS), and collaborates across engineering, defense, and aerospace sectors to implement real-time solutions.

🌟 Legacy and Future Contributions

With an unwavering focus on airspace surveillance innovation, Prof. Lin Lin continues to inspire future engineers and researchers. Her legacy is built upon merging academic insight with industrial relevance, making her a vital force in the evolution of global flight navigation systems. Looking forward, she aims to expand real-time AI-driven surveillance solutions for UAV swarms, cyber-resilient aviation systems, and space-ground integrated networks, continuing to lead with purpose and precision.

 

Publications


📄 Overview of Cooperative UAV Swarm Localization

Authors: Shangguan, R.; Lin, L.; Zhou, Y.
Journal/Conference: Proceedings of SPIE – The International Society for Optical Engineering
Year: 2025


📄 A-SMGCS: Innovation, Applications, and Future Prospects of Modern Aviation Ground Movement Management System

Authors: Shen, J.; Lin, L.; Shangguan, R.
Journal/Conference: Communications in Computer and Information Science
Year: 2024


📄 ADS-B Anomaly Detection Algorithm Based on LSTM-ED and SVDD

Authors: Yi, J.; Lin, L.; Nisi, L.; Jintao, W.
Journal/Conference: Lecture Notes in Electrical Engineering
Year: 2023


📄 An I-Shaped Slot Grid Antenna Array with Substrate Integration and Enhanced Bandwidth

Authors: Li, Z.; Wang, S.; Li, F.; Lin, L.; Zeng, H.
Journal: Journal of Electromagnetic Engineering and Science
Year: 2023


📄 An Ultra-Wideband Tuning Method for Electrically Small Antenna Based on Characteristic Mode Analysis

Authors: Liu, Y.; Lin, L.; Wang, S.; Zeng, H.
Journal: IEICE Electronics Express
Year: 2023


Yunyoung Nam | Computer Science | Best Researcher Award

Prof. Yunyoung Nam | Computer Science | Best Researcher Award

Soonchunhyang University | South Korea

Author Profile

Scopus

Early Academic Pursuits

Prof. Yunyoung Nam began his academic journey with a focus on Information and Communication. He achieved significant recognition early in his career, earning the Presidential Award for Excellence in Graduate School of Information and Communication in both 2003 and 2007. He also received the Dasan Fellowship from Ajou University in 2000, demonstrating his potential and commitment to his field from the start.

Professional Endeavors

Prof. Nam's professional career is marked by a series of progressive roles in academia and research. He served as a Senior Researcher at the Ubiquitous Convergence Research Institution from 2007 to 2010, followed by multiple postdoctoral positions at Stony Brook University-SUNY and Worcester Polytechnic Institute. He transitioned to academia as a Research Assistant Professor at Ajou University before joining Soonchunhyang University, where he has held positions as Assistant Professor, Associate Professor, and currently, Professor since 2023.

Contributions and Research Focus

Prof. Nam's research interests span a wide range of cutting-edge topics, including multimedia information retrieval, digital signal processing, machine learning methods for multimedia applications, and biomedical engineering. His contributions to these fields are substantial, with notable projects such as the development of a 3D deep-learning-based diagnosis platform for retinal disease, and a smartphone-based diagnosis and referral platform for chronic diseases. His research has been supported by prestigious organizations, including the National Research Foundation (NRF) and the Ministry of Science, ICT, and Future Planning (MSIP).

Accolades and Recognition

Throughout his career, Prof. Nam has been recognized for his exceptional contributions to research and academia. He has received the Presidential Award for Best Researcher at Soonchunhyang University three times (2015, 2018, 2020), highlighting his sustained excellence in research. Additionally, he was included in the 2011 edition of Who's Who in America, further acknowledging his influence and impact in his field.

Impact and Influence

Prof. Nam's impact extends beyond his research contributions. As an educator, he has taught a wide range of courses at Soonchunhyang University, including C#, AI, algorithms, data structure, discrete mathematics, and software engineering. His commitment to teaching and mentorship has influenced many students and upcoming researchers. Moreover, his membership in several professional associations such as IEEE and the Korea Information Processing Society, and his editorial roles in various journals, underscore his active involvement in the academic community.

Legacy and Future Contributions

Prof. Nam's legacy is defined by his relentless pursuit of knowledge and innovation in multimedia applications and biomedical engineering. His research projects, such as the RNA Innovation Human Resources Project for the Hyper-connected Convergence Industry, and the training of experts for the intelligent home care industry, are paving the way for future advancements. As he continues to lead and innovate, Prof. Nam's future contributions are expected to significantly influence both academic research and practical applications in his areas of expertise.

 

Notable Publications

Localization and grading of NPDR lesions using ResNet-18-YOLOv8 model and informative features selection for DR classification based on transfer learning 2024

Novelty of Different Distance Approach for Multi-Criteria Decision-Making Challenges Using q-Rung Vague Sets 2024

Federated Learning for Computational Offloading and Resource Management of Vehicular Edge Computing in 6G-V2X Network 2024 (5)

A gamified cognitive behavioral therapy for Arabs to reduce symptoms of depression and anxiety: A case study research 2024

Sleep Posture Classification Using RGB and Thermal Cameras Based on Deep Learning Model 2024