Shin, Andrew
Faculty of Science and Technology Dept. Information and Computer Science Assistant Professor (Non-tenured) / Research Associate (Non-tenured) / Instructor (Non-tenured)
Graduate School of Science and Technology School of Informatics, Management, and Human Sciences Curriculum of Open Sciences Assistant Professor (Non-tenured) / Research Associate (Non-tenured) / Instructor (Non-tenured)
Research Overview
While modern artificial intelligence (AI) based on deep learning has achieved remarkable success in pattern recognition, it still faces significant limitations in tasks that require structural understanding. Integrating elements of symbolic AI offers a promising path to overcoming these challenges. Our goal is to pursue a neuro-symbolic AI approach to build more trustworthy and efficient systems.
Specialty
Natural Language Processing, Neuro-Symbolic AI, Computer Vision, Large Language Models, Generative AI