We are pleased to announce that our closing keynote speaker for IGeLU 2026 is Professor Hsin-Hsi Chen, Distinguished Professor in the Department of Computer Science and Information Engineering at National Taiwan University (NTU).
Professor Hsin-Hsi Chen is an internationally recognized authority in natural language processing and information retrieval. Professor Chen holds an M.S. in Computer Science and a Ph.D. in Electrical Engineering from NTU. Throughout his distinguished career, he has served as Chair of the NTU Department of Computer Science and Information Engineering, Associate Dean of the College of Electrical Engineering and Computer Science, Secretary for Medical Affairs at NTU Hospital, and Director of the Center for Intelligent Healthcare. He currently serves as Director of the Joint Research Center for AI Technology and All Vista Healthcare. On the international stage, he has served as Chair of ACL SIGHAN and as Program Chair and Senior Area Chair for several top-tier international conferences, including ACL, SIGIR, and EMNLP.
His outstanding research contributions have earned him widespread international acclaim, including two Google Research Awards, the Distinguished Research Award from the Taiwan National Science and Technology Council, the Distinguished Information Talent Award, the NTU Distinguished Teaching Award and NTU Garmin Chair Professorship. Professor Chen has long been committed to the internationalization of academic achievements. He has not only significantly enhanced the global visibility of natural language processing research from Asia, but has also collaborated with leading international teams to establish standard test collections for information retrieval. These collections have become essential tools for evaluating retrieval performance, making him a key figure in driving Taiwan’s information technology toward the global forefront.
Professor Chen is a leading expert in Natural Language Processing and AI-driven information science, specializing in the evolution of Large Language Models (LLMs) and agentic reasoning. His research focuses on transforming passive information retrieval into proactive, intelligent systems that deeply understand user intent and complex data structures. With a prolific record at premier global forums like ACL, EMNLP, and SIGIR, he has consistently advanced the boundaries of how machines process logic. Beyond technical architecture, he is a vocal advocate for AI integrity, contributing significant research to sycophancy reduction and the assessment of linguistic and demographic biases. He has further demonstrated the practical versatility of AI through specialized applications in diagnostic reasoning and dynamic ESG systems. This extensive background in semantic search and discovery agents forms the foundation of his technical vision for the future of information institutions. At IGeLU 2026, he will deliver the keynote “From Search Systems to Reasoning Systems: How Agentic AI Redefines Library Intelligence.”