Session 1: Emerging Advanced Technologies and Applications for Intelligent Life and Smart City/Township
Overview or scope (abstract):
Adopting advanced technologies such as artificial intelligence (AI) and the Internet of Things (IoT) is crucial for developing smart cities, intelligent logistics, and intelligent transportation systems. The continuous evolution of intelligent systems and applications enhances existing frameworks by integrating emerging techniques like service design, big data analysis, cloud computing, edge computing, and IoT. These advancements increase convenience and bring numerous benefits to our daily lives. This special session cordially invites submissions focusing on advanced emerging consumer techniques and applications that contribute to developing smart city and township domains.
Keywords:
Artificial intelligence (AI), Artificial intelligence of things (AIoT), Smart city, Smart township, Intelligent agriculture, Intelligent aquaculture, Intelligent systems, Intelligent life, Intelligent logistics, Intelligent transportation, Internet of things (IoT)
Organized session chairs:
Chair: Liang-Bi Chen, National Penghu University of Science and Technology, Taiwan (email: liangbi.chen@gmail.com)
Co-Chair: Szu-Yu Kuo, National Kaohsiung University of Science and Technology, Taiwan (email: tykuo@pie.com.tw)
Co-Chair: Ya-Ling Kao, National Penghu University of Science and Technology, Taiwan (email: ylkao@gms.npu.edu.tw)
Session 2: Smart Sensing Technologies & Applications for Human Health Promotion
Overview or scope (abstract):
Smart sensing technologies play a pivotal role in advancing human health and well-being. These technologies encompass a wide range of applications, from wearable health monitoring devices to advanced diagnostic tools and intelligent healthcare systems. By integrating IoT, AI, and data analytics, smart sensing technologies provide real-time health monitoring, early disease detection, and personalized healthcare solutions. This special session invites submissions that focus on innovative smart sensing technologies and their applications aimed at promoting human health, improving healthcare delivery, and enhancing the quality of life.
Keywords: Smart sensing technologies, Health monitoring, Wearable devices, Diagnostic tools, Intelligent healthcare systems, Internet of Things (IoT), Artificial intelligence (AI), Data analytics, Personalized healthcare
Organized session chairs:
Chair: Ming-Che Chen, Southern Taiwan University of Science and Technology, Taiwan (email: jerryhata@stust.edu.tw)
Co-Chair: Shih-Hsiung Lee, National Kaohsiung University of Science and Technology, Taiwan (email: shlee@nkust.edu.tw)
Session 3: Artificial Intelligence Techniques for smart medical care and applications
Overview or scope (abstract):
In recent years, artificial intelligence technology has made great progress in smart medical care and applications, providing many opportunities to improve the quality of related biomedical research. However, there are still many foreseeable challenges, such as system performance, clinical application, data annotation and quality analysis. The goal of this special conference is to invite interested parties to publish original manuscripts and present the latest research results on the application of artificial intelligence-related technologies to medical imaging and signals. By analyzing medical images and signals through artificial intelligence, it will become feasible to use machine learning or deep learning algorithms to predict clinical diagnosis or prognosis. We welcome submissions of a variety of applications that combine biomedical images, signals, and data with state-of-the-art machine or deep learning and propose innovative approaches to solve existing imaging/data challenges in biomedicine and health.
Topics of interest include but are not limited to:
- Machine learning or deep learning algorithms for medical image processing applications;
- Disease classification and prognosis prediction based on medical images, signals and data processing;
- Segmentation and anomaly detection based on medical images;
- Medical image denoising and quality improvement;
•Medical image, signals and data processing for therapy monitoring; - Big data or multimodal data processing for predicting clinical outcomes;
•Medical image quality assessment; - Disease severity assessment based on medical images、signals and data processing.
Organized session chairs:
Chair: Chih-Hsueh Lin, National Kaohsiung University of Science and Technology, Taiwan (email: cslin@nkust.edu.tw)
Co-Chair: Tsair-Fwu Lee, National Kaohsiung University of Science and Technology, Taiwan (email: tflee@nkust.edu.tw)
Co-Chair: Hung-Yu Wang, National Kaohsiung University of Science and Technology, Taiwan (email: hywang@nkust.edu.tw)
Session 4: Recent Advances and Applications in High-Frequency Magnetics, Power Converters, Motor Drives and Related Control Technologies CFP_OS4_ICCT-Pacific2025
Overview or scope:
Due to the fast popularity of new technologies such as wide-bandgap power semiconductor devices (SiC/GaN) and advanced topologies of power converters, the recent developments of high-efficient and power-density converters and high-frequency magnetic cores in motor drive systems and electric vehicles (EVs) have been much interested. Moreover, the model-based and intelligent control methods for power converters and motor drives provide an effective approach to reduce development time and tackle the design complexity substantially. Furthermore, AI algorithms are useful to effectively design and control motor drives, EVs, and renewable energy systems. Therefore, the objective of this session is to discuss and share advanced techniques and studies, consisting of analysis, simulation, and experiments, to resolve design and control issues in high-efficient power converters, filters with high-frequency magnetic cores, motor drives, and related applications. Topics of interest include but are not limited to advanced topologies and control of power converters and motor drives; Power converters utilizing wide-bandgap semiconductors; Analysis and evaluation of motors and drive systems; Magnetic cores for high-frequency power electronics applications; Design and control of battery management systems; AI and control technologies of EVs and renewable energy systems.
Keywords:
Wide-bandgap power semiconductors, Power converter topologies and control, Electric motors and drive systems, High-frequency magnetic cores, Battery management systems, AI and control technologies of EVs, Renewable energy systems and microgrids
Organized session Chairs:
Nguyen Gia Minh Thao, Shimane University, Japan, IEEE Senior member (email: nguyenthao@ecs.shimane-u.ac.jp)
Ton Duc Do, Nazarbayev University, Kazakhstan, IEEE Senior member (email: doduc.ton@nu.edu.kz)
Session 5: Generative AI for Education (GenAIEdu) CFP-GenAIEdu
Overview or scope:
With specific focus on utilizing generative AI (GenAI) for education, GenAIEdu solicits original and unpublished research papers related to the overarching theme of educational technology (EdTech) and learning sciences. The topics of this organized session include but are not limited to:
AI and Generative AI for Education, Educational Gamification, Language Models and Education, EdTech in Different Disciplines, EdTech and Consumer Technology, EdTech in Different Stages of Learning, Learning Support Systems, Pedagogy and Instructional Design, Emerging Trends and Future Directions in EdTech
Keywords:
Educational Technology (EdTech), Consumer Technology, Artificial Intelligence (AI), Generative AI (GenAI), Learning Support Systems, Pedagogy and Learning Sciences
Organized session chairs:
1) Ken Sakamura (Honorary Chair), Toyo University, Japan
2) Fahim Khan (Chair), Toyo University, Japan
3) Nobuo Funabiki, Okayama University, Japan
4) Noboru Koshizuka, The University of Tokyo, Japan
5) Shinsuke Kobayashi, Timeless Education, Inc., Japan
6) Shimpei Matsumoto, Hiroshima Institute of Technology, Japan
7) Yoshiko Goda, Kumamoto University, Japan
8) Malissa Maria Mahmud, Sunway University, Malaysia
9) Chung Kwan Lo, The Education University of Hong Kong, Hong Kong
10) Gridaphat Sriharee, King Mongkut’s University of Technology North Bangkok, Thailand
11) Hsiu-Ling Chen, National Taiwan University of Science and Technology, Taiwan
12) Takayuki Fujimoto, Toyo University, Japan