KangYoon Lee | Federated Learning | Best Researcher Award

Prof Dr. KangYoon Lee l Federated Learning | Best Researcher Award

Gachon University, South Korea

Author Profile

Scopus

👨‍🏫 Prof. Dr. KangYoon Lee – AI Leader & Professor

Prof. Dr. KangYoon Lee is a distinguished AI leader and professor with over 30 years of experience in the fields of software engineering, healthcare AI, and federated learning technologies. Recognized for his pioneering contributions to AI in healthcare, he has secured multimillion-dollar funding and driven collaborations between academia and industry. His leadership in global initiatives is shaping the future of digital health and AI solutions.

🏆 Key Accomplishments

Prof. Lee has made significant strides in AI and healthcare, securing a $10M grant to establish the Intelligent Brain Science Center and the AI Healthcare Center. He successfully delivered the Watson Oncology Solution at Gachon Gil Medical Center, advancing precision healthcare through AI. As the architect behind the FedOps platform, he innovated federated learning lifecycle management. His expertise has earned him recognition as a leading AI figure across various sectors, and he continues to collaborate with prestigious institutions like Cambridge University and Harvard Pilgrim Research Institute.

💼 Professional Experience

As a Professor and Director at Gachon University, Prof. Lee has been instrumental in shaping the Gachon Institute of AI, focusing on federated learning and healthcare solutions. He also established the AI Technology Institute, which includes labs dedicated to Precision Medicine and Cognitive Solutions. Prior to his academic career, Prof. Lee spent over two decades at IBM Korea, where he led groundbreaking projects in cloud computing, innovation networks, and software solutions, including his role as Watson Sales Leader and Lab Director.

🎓 Education and Expertise

Prof. Lee holds a Ph.D. in IT Policy and Management from Soongsil University, an M.S. in Computer Science from Yonsei University, and a B.S. in Electronics Engineering from Yonsei University. His educational background laid the foundation for his illustrious career, bridging the gap between technology and healthcare to drive impactful solutions.

💡 Patents and Innovations

Prof. Lee holds multiple patents, including a system for predicting and monitoring complications after cardiovascular surgery (Patent No. 10-2750097, 2024), a personalized remote healthcare management system (Patent No. 10-2714528, 2024), and a chatbot marketplace system (Patent No. 10-2150937, 2020). These innovations reflect his commitment to advancing healthcare through AI and improving patient outcomes globally.

📖 Top Noted Publications 

Federated Learning Lifecycle Management for Distributed Medical Artificial Intelligence Applications: A Case Study on Post-Transcatheter Aortic Valve Replacement Complication Prediction Solution

Authors: Jung, M.H., Song, I., Lee, K.
Journal: Applied Sciences (Switzerland)
Year: 2025

Erratum: Correction: Comprehensive Symptom Prediction in Inpatients With Acute Psychiatric Disorders Using Wearable-Based Deep Learning Models: Development and Validation Study

Authors: Hong, M., Kang, R.-R., Yang, J.H., Kim, S.H., Ahn, Y.M.
Journal: Journal of Medical Internet Research
Year: 2024

A Platform of Federated Learning Management for Enhanced Mobile Collaboration

Authors: Yusubov, F., Lee, K.
Journal: Electronics (Switzerland)
Year: 2024, 13(20), 4104

Multicenter Analysis of Emergency Patient Severity through Local Model Evaluation Client Selection: Optimizing Client Selection Based on Local Model Evaluation

Authors: Kim, Y.-G., Yang, S., Lee, K.
Journal: Applied Sciences (Switzerland)
Year: 2024, 14(16), 6876

A Text Analytics Approach for Mining Public Discussions in Online Cancer Forum: Analysis of Multi-Intent Lung Cancer Treatment Dataset

Authors: Shah, A.M., Lee, K.Y., Hidayat, A., Falchook, A., Muhammad, W.
Journal: International Journal of Medical Informatics
Year: 2024, 184, 105375