Institute of Health Data Science

Topic: Agentic AI in Action: Integrating Autonomous Systems at NCHU Speaker: Dr. Da-Sheng Lee – Lifetime Distinguished Professor, National Taipei University of Technology & Director, Taipei Smart City Project Management Office" Time: November 11, 2025 (Tuesday), 2:00 – 4:00 p.m. Venue: The Management Building, 11F, AI Lecture Hall Join Online: https://reurl.cc/K9VY6n or scan QR code on poster About the Speaker:   Dr. Da-Sheng Lee is a Lifetime Distinguished Professor at National Taipei University of Technology and holds multiple leadership roles, including Director of TPMO and Technical Director at ITRI’s Green Energy Labs. He integrates academia, industry, and research to implement energy-saving and carbon-reduction technologies. His team has assisted over 100 factories across 19 sectors in Taiwan, optimizing air compressors, chillers, cooling towers, and boilers, and introduced AI-driven solutions achieving deep industrial energy savings. From 2015–2024, he published 28 SCI papers on AI for energy efficiency, with 47 SCI/EI papers total, earning recognition as a top global author and a 2024 Stanford World’s Top 2% Scientist. Abstract: Since 2016, Taipei’s TPMO has implemented 315 PoC projects to advance smart city development. By 2024, Taipei ranked 16th in the Smart City Index and 27th in the Cities in Motion Index, while carbon emissions fell 11.9% from 12,409,700 to 10,931,500 tons CO₂, showing that smart initiatives also drive sustainability. Using a five-stage framework to standardize PoC data, the study finds collaboration between large corporations and SMEs/startups forms an “economy co-evolution loop,” key for intelligence and sustainability. A six-stage AI-Driven Smart City Framework is proposed, integrating city-scale evaluation, AI research loops, and PoC duplicate loops to guide citywide AI deployment. Organizers: College of Intelligent Computing & Artificial Intelligence Research Center ※ No registration needed.

Topic: Agentic AI in Action: Integrating Autonomous Systems at NCHU Speaker: Prof. Yao-Chung Fan — Department of Computer Science and Information Engineering, National Chung Hsing University Time: October 28, 2025 (Tuesday), 2:00 – 4:00 p.m. Venue: The Management Building, 11F, AI Lecture Hall Join Online: https://reurl.cc/daEED6 or scan QR code on poster About the Speaker:   Yao-Chung Fan is a Professor in the Department of Computer Science and the Deputy Director of the Library at National Chung Hsing University (NCHU), Taiwan. His research focuses on Agentic AI, Large Language Models (LLMs), and domain-specific knowledge systems. He leads several interdisciplinary projects that integrate AI technologies into NCHU’s academic and library platforms, as well as applications in smart agriculture and legal information retrieval. Abstract: This talk presents National Chung Hsing University’s recent efforts in Agentic AI, focusing on integrating autonomous AI agents into the university’s academic and library systems. We will also share applications in smart agriculture, including the Shennong TAIDE system that combines generative models with knowledge retrieval. Finally, we discuss how open-source models can achieve performance comparable to proprietary ones, demonstrating the feasibility of open AI ecosystems in academia. Organizers: College of Intelligent Computing & Artificial Intelligence Research Center ※ No registration needed.  

Due to the overwhelming response and the limited capacity of the Shengen Lecture Hall (深耕講堂), the venue for the lecture has been changed to the Management Building B0204 Lecture Hall (located to the right of the original venue). To meet the expectations of the speaker and the audience, the lecture will be extended by one hour and will conclude at 4:00 PM. A Teams online meeting service is also provided. Speaker: Mr. Weng Chia-Chi (Vice President of AI, UC Capital) Date & Time: Friday, 10/17, 14:10–16:00 Event Venue: B0204 Classroom, 2nd Floor, Management Building Registration Link: https://forms.office.com/r/dT38nkBU8c Online Meeting Link:https://reurl.cc/9njb7n This talk will be given in Mandarin. Introduction to UC Capital UC Capital (優式資本), established in 2021 and headquartered in Taipei, is an independent proprietary trading firm specializing in quantitative and algorithmic trading. The firm operates exclusively with its own capital, does not manage external funds, and focuses on independently developing proprietary trading strategies to be a stable and long-term competitive capital institution in the market. Key Highlights: Trading Focus: UC Capital engages in a wide range of products, including stocks, ETFs, convertible bonds, warrants, futures, and options. Strategy: The company adopts an "Absolute Return Strategy," emphasizing robust risk management and stable operations. It prioritizes consistent profitability across different market cycles over chasing short-term, high returns. Industry Influence: UC Capital is regarded in the industry as a powerful player in Taiwan's quantitative/algorithmic trading sector. Its trading volume has been compared to that of mid-sized brokerages or major proprietary trading desks, highlighting its significant market presence. Talent Development: The firm actively invests in cultivating talent. For example, its 2025 "AI Quant Rising Star Program" offers internships to individuals with machine learning and data analysis backgrounds, providing them with real-world trading experience. Public Profile: The company has gained significant media attention in recent years for its participation in high-profile auctions, notably securing Shohei Ohtani's "50 Home Run Commemorative Ball" for a substantial sum, which has greatly boosted its public awareness. Contact person：Chih-Yuan Yang Contact number：409-2548

Topic: From Data to Evidence: How the OHDSI Global Network Is Transforming Health Data Science Speaker: Dr. Jason C. Hsu, Professor in the International Ph.D. Program in Biotech and Healthcare Management at the College of Management, Taipei Medical University (TMU) Time: October 29, 2025 (Wednesday), 12:10 – 14:00 p.m. Venue: The Management Building, 11F, AI Lecture Hall Registration: https://forms.office.com/r/EVADcz6zp8 or scan QR code on poster  About the Speaker:   Dr. Jason C. Hsu is an expert in digital health, real-world data (RWD), and real-world evidence (RWE) in the medical field. He is currently a Professor in the International Ph.D. Program in Biotech and Healthcare Management at the College of Management, Taipei Medical University (TMU). Dr. Hsu holds multiple leadership positions related to health data research, including President of the Taiwan Observational Health Data Sciences and Informatics Society (Taiwan OHDSI Society), Director of the Clinical Data Center at TMU, Director of the Research Center of Data Science on Healthcare Industry at the College of Management, and Director of the Clinical Big Data Research Center at TMU Hospital. He received training at Harvard Medical School and has led numerous large-scale RWD/RWE projects. Dr. Hsu's mission is to advance digital medicine, precision therapy, and biotech healthcare management through global RWD/RWE collaboration.   Abstract: This talk will explore how the global OHDSI network is reshaping health data science through standardization, open tools, and collaborative research. It will highlight Taiwan’s active role in the network, showcase real-world examples of multi-country RWD/RWE studies, and discuss how standardized data can bridge the gap from collection to evidence generation. Organizers: Graduate Institute of Health Data Science ※ Registration needed.

Topic: Data at the Negotiation Table: Harmonizing Hard Skills and Soft Skills Speaker: Dr. Robert Lo, Head of Access, Sustainability & External Engagement for Taiwan & Hong Kong at UCB Time: October 15, 2025 (Wednesday), 12:10 – 14:00 p.m. Venue: The Management Building, 11F, AI Lecture Hall Registration: https://forms.office.com/r/afGDewBp3n or scan QR code on poster  About the Speaker:   Po-Ching Lo (Robert Lo) is the Head of Access, Sustainability & External Engagement for Taiwan & Hong Kong at UCB. With over fifteen years of experience, he is a seasoned professional in health technology assessment, pricing and reimbursement strategies, and health economics and outcomes research (HEOR). Robert's career spans pivotal roles in leading pharmaceutical companies, including Novartis and AbbVie, where he led market access strategies for new products in oncology, immunology, and rare diseases. Before joining the industry, he served as a Senior Researcher at the HTA division in Center for Drug Evaluation (CDE), Taiwan, where he conducted economic evaluations for more than 60 reimbursement dossiers. He holds a Ph.D. in Health and Welfare Policy from National Yang-Ming University. This unique combination of regulatory and industry experience equips him with a holistic perspective to develop innovative access solutions and foster win-win collaborations with stakeholders. Abstract: In Taiwan reimbursement journey of new drug, data is not only the foundation of decision-making but also the key language at the negotiation table. However, precise data alone is not enough to drive national reimbursement decisions. Cross-functional coordination and soft skills in communicating with government and stakeholders are essential to ensure that evidence is understood and accepted. This talk will share practical experiences from Taiwan’s pharmaceutical market access and product lifecycle, guiding the audience to explore how data analytics (hard skills) and negotiation communication (soft skills) perform in harmony in the AI era, accelerating the inclusion of innovative medicines in health insurance coverage and benefiting more patients. Organizers: Graduate Institute of Health Data Science ※ Registration needed.