Biography
Dr. Kwang Baek Kim is a distinguished computer scientist, AI researcher,
and academic leader specializing in Artificial Intelligence, Fuzzy Systems,
Intelligent Information Processing, and Computer Vision.
With more than two decades of academic and research experience,
he has contributed extensively to intelligent computing, machine learning,
medical image processing, and computational intelligence research.
Role
Faculty Advisor of VisionLab
Academic Leadership
Former President of KIICE and Director for Planning at KIIS
Education
M.S. and Ph.D. in Computer Science from Pusan National University
Current Research
AI-based Medical Ultrasound Analysis, Rotator Cuff Tear Detection,
Lumbar Muscle Analysis, Lipoma Detection,
and Companion Dog Cataract Analysis
Research Areas
Artificial Intelligence, Machine Learning, Fuzzy Clustering,
Computer Vision, Medical Image Processing, Pattern Recognition
Specialties
Neural Networks, Deep Learning, Intelligent Image Analysis,
Biomedical Systems, Computational Intelligence
Editorial Leadership
Associate Editor of the Journal of Intelligence and Information Systems
and Editor-in-Chief of the Journal of Information and Communication Convergence Engineering
Awards & Recognition
Best Researcher Award, Silla University Academic Award,
and multiple academic achievement awards in Artificial Intelligence research
Academic Contributions
Author and co-author of numerous SCI-indexed journal papers,
conference proceedings, and AI research publications
Research Keywords
Artificial Intelligence • Deep Learning • Machine Learning • Computer Vision •
Medical AI • NLP • Robotics • Intelligent Systems • Image Processing • Data Science •
Computational Intelligence • Neural Networks • Pattern Recognition
Featured Publications
• Vector quantizer of medical image using wavelet transform and enhanced SOM algorithm (2006)
• Passport recognition and face verification using enhanced fuzzy ART based RBF network (2008)
• Area extraction of the liver and hepatocellular carcinoma in CT scans (2008)
• Automatic extraction of appendix from ultrasonography with self-organizing map (2016)
• Automatic extraction of rotator cuff tendon tears from ultrasound images (2018)
Research Vision
Advancing next-generation artificial intelligence systems through machine learning,
intelligent medical diagnostics, computational intelligence,
and real-world AI applications.
Contribution to VisionLab
Providing academic guidance, research direction,
technical mentorship, and AI research leadership for VisionLab.