HYU IDSL Lab

The Industrial Data Science Lab (IDSL) at Hanyang University, led by Professor Misuk Kim, focuses on developing industrial data analysis technologies based on Natural Language Processing (NLP) and Large Language Models (LLMs). Our lab conducts practical research on tasks such as ESG information extraction, Conversational AI systems, Safe-AI, Ontology-based Knowledge Graph and Recommender, aiming to create real-world, industry-applicable NLP solutions by combining cutting-edge LLM techniques with traditional NLP methods. Our lab develops technologies for autonomous ontology construction and domain-specific knowledge agents to enable structured and intelligent use of industrial data. Its research covers data-driven ontology construction from heterogeneous industrial data, document and knowledge graph–based retrieval-augmented generation (RAG), and the development of domain-specific knowledge agents that support efficient knowledge utilization and decision-making in industrial environments. Our lab researches the development and optimization of conversational AI systems based on LLMs. Its work includes hierarchical command processing through multi-level prompting, Retrieval-Augmented Generation (RAG)-based question answering systems, hallucination mitigation techniques, and dialogue state tracking for accurate conversation management. The goal is to develop reliable conversational AI solutions that can be practically applied in industrial settings. 🔸 This lab website is operated to introduce the lab and record the internal members. Therefore, we are disclosing research and activities in the lab. 🔸 We will try to provide a lot of information to everyone interested in our research activities and related industries.