معرفی
Byungkon Kang is a Research Assistant Professor in the Department of Computer Science at SUNY Korea. He holds a Ph.D. from KAIST and a B.Sc. from the University of Texas at Austin. Previously, he worked as a full-time researcher at Samsung Advanced Institute of Technology, focusing on medical image analysis and natural language understanding, followed by a research professor role at Ajou University.
Research Interests: Kang specializes in machine learning, with a focus on representation learning (vector embeddings for text, images, and bio-medical data) and deep generative models. His work also encompasses neural network architectures for modeling joint probability distributions. Past research includes reinforcement learning and stochastic planning.
Teaching: He teaches courses CSE 353 and CSE 512 at SUNY Korea. No specific grants, advising roles, or lab affiliations are detailed in the provided information.
