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: How to Know Earlier? Using Machine Learning to Identify the Risk of Disease Development - the Case of Glaucomatous Neuropathy Speaker: Dr. Cezary Mazurek , Poznan Supercomputing and Networking Center Time: December 16, 2025 (Tuesday), 11:00–12:00 p.m. Venue: The Management Building, 11F, AI Lecture Hall About the Speaker: Dr. Cezary Mazurek, Computer Scientist, his professional activity has been associated with the development of the Poznan Supercomputing and Networking Center (PCSS) since its establishment in 1993. He served as CEO of PCSS from 2019 to 2024 and at that time he successfully brought it onto the path of developing infrastructure and applications of quantum computing and AI, and is now continuing this thread with a focus on applications in Life Sciences and Personalized Medicine. For over 30 years, he has been involved in the development of Polish and European e-infrastructure for science and is currently one of the most experienced leaders in R&D projects, many of which he has successfully implemented in practice. To date, he has led development of more than 40 national and international R&D projects. His R&D work has focused on integrating various specialized software components into consistent systems for digital science with emphasis on software governance. In recent years, he has been involved in the development of domain research infrastructures, such as for digital humanities, as well as for personalized medicine.   Cezary’s scientific activities mainly focus on applying machine learning methods for early detection of disease development mechanisms. A solution led by him to support pre-symptomatic diagnosis of glaucoma development using machine learning received patent protection from the Japan Patent Office in 2023 and from European Patent Office in 2025. He is currently extending his interests to advanced methods of data collection and analysis in a digital twin model. He is author or co-author of over 100 papers in professional journals and conference proceedings. Since 2020 the President of Wielkopolska ICT Cluster. Since 2023 the member of GÉANT Association Board of Directors. In 2024 he initiated the establishment of a national consortium EBRAINS-PL and became the member of EBRAINS National Node Board. IEEE Senior Member, member of IEEE Computer Society as well as IEEE Computational Intelligence Society. Abstract: In recent years, there has been a significant increase in the number of studies on the role of artificial/assisted intelligence in the diagnosis of eye diseases. Scientific work in this field is mainly based on the analysis of imaging examinations. However, the development of diseases is very often caused by functional disorders that remain hidden for many years and are not immediately visible in the form of clinical symptoms. An example of such diseases is glaucomatous neuropathy. Since 2014, we have been working in a transdisciplinary team on intelligent decision support technology in the functional diagnosis and treatment of glaucomatous neuropathy. The functionality of the developed software platform is based on the assessment of non-intraocular-pressure risk factors in the development of glaucomatous neuropathy, enabling glaucoma specialists to be supported in the recognition, quantification, and differential diagnosis of glaucomatous neuropathy. The developed system, based on a predictive model, enables the identification of individuals with ocular hypertension at significantly high risk of conversion to primary open-angle glaucoma, as well as the assessment of the effectiveness of glaucoma therapy. The solution has been patented in Japan and Europe. The above example shall also help to present the latest trends in our research work on neurodegenerative diseases and brain health initiated around the EBRAINS research infrastructure, artificial intelligence, and quantum computing technology. Organizers: College of Intelligent Computing & Artificial Intelligence Research Center ※ No registration needed.

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.