Artificial Intelligence Research Center

Call for Participation and Poster: Dec 12 “Medical AI Workshop: Making AI Safe and Healthy (MASH)” at ACML 2025 Chang Gung University will host the Medical AI Workshop: Making AI Safe and Healthy (MASH) on December 12, 2025 (Friday), in conjunction with the Asian Conference on Machine Learning (ACML 2025). The workshop is jointly organized by the College of Intelligent Computing and the Artificial Intelligence Research Center, and will feature distinguished AI scholars as invited speakers. The workshop is also calling for poster submissions related to Medical AI research. Scholars and researchers from Taiwan and abroad are welcome to submit: 1.     Online Submission: Upload PDF files to submission link, https://sites.google.com/view/acml-2025-medical-ai-forum/call-for-short-presentations-posters?authuser=0 2.     Submission Deadline: October 12, 2025 3.     Notification of acceptance: October 20, 2025 Workshop Information 1.Date: December 12, 2025 2.Venue: Hua Nan Bank International Convention Center (No. 123, Songren Road, Xinyi District, Taipei, Taiwan) 3.Workshop website: https://sites.google.com/view/acml-2025-medical-ai-forum/home 4.Registration link: https://www.acml-conf.org/2025/registration.htm 5.Online registration deadline: November 30, 2025

*Full-Time Research Fellow Invitation* Assistant/ Associate/ Full Research Fellows in Artificial Intelligence Research Center, Chang Gung University Artificial Intelligence Research Center (AIC) at Chang Gung University (CGU) currently invites applications for full-time Assistant, Associate, and Full Research Fellows. There are 2 positions to be filled. Research Fellow Positions: We are looking for candidates with research areas in machine learning, computer vision, natural language processing, smart medicine, smart manufacturing, robotics, metaverse and human-computer interaction. Candidates should have a Ph.D. degree in Artificial Intelligence, Computer Science, Data Science, Engineering, Biomedical or related areas. Senior candidates must demonstrate significant research achievement, and have an international reputation such as strong publication records, patents, industrial experience, or other academic achievements. CGU AIC is a research-oriented institute and teaching duties are not required. Application Deadline: (1)   There is no application deadline. However, applications received by January 15, 2026 will receive the fullest consideration. (2)   Application materials will be reviewed on a first-come, first-served basis. (3)   Interview date/time will be set up promptly if an application has received a favorable opinion by the committee. Online interviews can be arranged. Starting Date:  February 1, 2026 or August 1, 2026 CGU Artificial Intelligence Research Center offers an internationally competitive compensation package commensurate with the candidate’s professional experience. Successful candidates will be appointed at the level of Assistant, Associate or Full Research Fellow according to qualifications. Application Requirements: (1)   Cover letter (one-page). (2)   CV with higher academic degree details (undergraduate to Ph.D.), professional experiences, research statement, publication list, and a list of three professional references. (3)   Chang Gung University is an equal-opportunity employer following the international standard for diversity and inclusion. Applicants from all regions and nationalities are welcome. (4)   Please submit your application in PDF files or in a cloud storage link to Ms. Sue Liu (sueliu@cgu.edu.tw). About AIC @ CGU Artificial Intelligence Research Center (AIC), established with the support of the Formosa Plastics Group (one of the largest private enterprises in Taiwan), is a research center in the Chang Gung University (CGU). In addition to the Formosa Plastics Group companies, AIC works closely with the Chang Gung Medical Foundation (the largest healthcare system in Taiwan) on advanced medical research projects, as well as other research centers in Chang Gung University. AIC also has strong connections with many world-leading high-tech companies in Taiwan. AIC researchers work closely with the faculty in the College of Intelligent Computing (CoIC), many with joint appointments from both units. CoIC is the first academic college in Taiwan devoted to the research and education of the AI technology and application. CoIC has many highly-reputed research faculty with a strong international and/or industrial working experience. AIC researchers and CoIC professors conduct joint research projects using AIC’s server hardware, IoT equipment and other research facilities. The center/college joint research eco-system further provides the support for CGU university-wide and international AI research activities. Chang Gung University (CGU), a student centric and research-directed university with entrepreneurial spirits, was established by the founding Wang family of the Formosa Plastics Group. CGU is highly ranked globally in the QS World Universities Rankings 2023, and in the top 5 among the 151 universities in Taiwan. CGU has 4 colleges: College of Medicine, College of Engineering, College of Management, and College of Intelligent Computing. CGU offers a student-faculty ratio of 12:1, with ~7,000 students, ~600 full-time faculty and ~665 adjunct faculty members. The University strives for excellence in research, teaching, and innovative technology commercialization. Under strong support from the Formosa Plastics Group and the Chang Gung Medical Foundation (the largest private-owned healthcare system in Taiwan), CGU provides advanced yet practical training on industrial technology and medical sciences. CGU is located in the suburban area of the Taipei city, about 30 minutes to the city center by Metro (Mass Rapid Transit). For details about Chang Gung University, please visit  https://www.cgu.edu.tw/en Learn more about CGU: https://www.cgu.edu.tw/en AIC: https://www.cgu.edu.tw/aic-en

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.

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.