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

Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

Prof Dr. Jorge Duque | Machine Learning | Global Data Innovation Recognition Award

Prof Dr. Jorge Duque at ISLA – Polytechnic Institute of Management and Technology, Portugal

👨‍🎓 Profiles

📚 Education

Prof. Duque is currently pursuing a post-doctorate at the University of Trás-os-Montes and Alto Douro (UTAD). He earned his Ph.D. in Computer Science from UTAD (2013-2018), a Master’s in Information and Communication Technologies from ISLA (2008-2009), and a Bachelor’s in Information Systems and Multimedia Management from ISLA (2003-2007).

💻 Areas of Expertise

His expertise spans Computer Science, specifically in Information Systems, Computer Engineering, and Data Science for Decision Support Analysis.

🛠️ Technical Skills

Prof. Duque possesses technical skills in Cisco Networking (CCNA1), programming with Visual Studio and SQL Server, and web technologies including Python, C#, .NET MVC, ASP.NET, and CSS. He is also proficient in Data Science techniques such as Machine Learning, Deep Learning, Big Data, and Data Mining.

🏢 Professional Experience

His career includes roles at AXA Insurance, CEA Consulting Services, LCA – IT, Inforporto Lda, and Geada & Babo, Lda. He served as an IT Trainer and Coordinator at the IEFP and was the Coordinator for Economic Affairs at the Municipality of Baião before joining ISLA as a Professor and Researcher in 2018.

👨‍🏫 Leadership Roles

Prof. Duque has held several leadership positions, including Coordinator of the Postgraduate Program in Analytics and Business Data Science, Coordinator of the Bachelor’s in Computer Science for E-commerce, and Chair of the Pedagogical Council at the School of Technology.

📅 International Conference Participation

He has actively participated in international conferences such as iSCSI, where he served as Workshop Chair and Reviewer. He has also been involved with CENTERIS and ICITS, reviewing papers for various sessions.

📖 Teaching Experience

Prof. Duque has been an Adjunct Professor at ISLA since 2018, teaching courses in Computer Science and Management, and has served as an Assistant Professor at Lusófona University since 2021.

🧑‍🏫 Professional Development

His ongoing professional development includes advanced training in Python for Data Science and courses on developing pedagogical competencies for distance education.

📖  Top Noted Publications
Data Mining for Knowledge Management
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2024
Data Science with Data Mining and Machine Learning: A Design Science Research Approach
  • Author: Duque, J., Godinho, A., Moreira, J., Vasconcelos, J.
    Journal: Procedia Computer Science
    Year: 2024
Blockchain Technologies: A Scrutiny into Hyperledger Fabric for Higher Educational Institutions
  • Author: Dias, P., Gonçalves, H., Silva, F., Martins, J., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2024
Business Intelligence and the Importance of Data Processing
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
The Importance of Big Data and IoT in Smart Cities
  • Author: Duque, J.
    Journal: Lecture Notes in Networks and Systems
    Year: 2024
Data Mining Applied to Knowledge Management
  • Author: Duque, J., Silva, F., Godinho, A.
    Journal: Procedia Computer Science
    Year: 2023
The IoT to Smart Cities: A Design Science Research Approach
  • Author: Duque, J.
    Journal: Procedia Computer Science
    Year: 2023