invited session
Technical papers on the aspects related to (but not limited to) those in the topics of interest are invited for oral presentation. Length of the full paper is limited within 4 pages (max). The program committee encourages the submission of invited sessions with at least five manuscripts on a well-defined subject of current interest. If you are interested in this, please email us the title of the session, the name and full contact details of the session organizer, and a list of the proposed session contributions, including titles, authors, and the corresponding author of each paper. All papers in invited sessions will be subject to review and assessment by the Program committee.
Topic
(IV1) Transforming Design Education and Research through Emerging Technologies and Practice-Based Approaches
Session Description
With the growing integration of design education into mainstream culture, the younger generation is placing unprecedented emphasis on design. Breakthroughs in technologies such as artificial intelligence, virtual reality, augmented reality, and the Internet of Things have introduced new research directions within the design domain.
This session focuses on the promotion of practice-based or creative research in design, especially discussions surrounding how emerging technologies, materials, and tools are transforming fundamental aesthetic literacy, traditional design skills, and product development processes in the context of next-generation design education.
We invite submissions that explore design practice or pedagogy from a broad range of perspectives. While evaluative and usability-focused studies are welcome, we particularly encourage works that reflect on the design process itself — its documentation, synthesis, and theorization. Inspired by Practice-Based Design Research and Research Through Design, this session regards design practice not only as a means of creation but as a core method of knowledge generation.
Through iterative prototyping, case-based analysis, and reflective inquiry, we aim to examine how making, material exploration, and designer behavior contribute to the advancement of design knowledge. This session welcomes contributions that bridge theory and practice and offer new insights into the evolving role of design in education and research.
Session Chairman
Prof. Chi-Hung Lo and Prof. Ya-Chuan Ko
Institution
Tunghai University, Taiwan; Asia University, Taiwan
Status
Invited Papers Only
Topic
(IV2) Diffusion Model based on Reinforcement Learning for Computer Vision
Session Description
The Diffusion Model & Reinforcement Learning for Computer Vision workshop brings together experts to explore the intersection of diffusion models and reinforcement learning in vision-language models, object recognition, and multimedia analytics. This session aims to advance research discussions and collaboration opportunities in AI-driven image and video processing.
Session Chairman
Prof. Yi-Zeng Hsieh
Institution
National Taiwan University of Science and Technology
Status
Open for Submission
Topic
(IV3) Artificial Intelligence Revolution in Biomedical Image and Signal Processing
Session Description
Recent years have seen rapid strides in artificial intelligence (AI), particularly in its application to healthcare and biomedical engineering. The digitization of medical imaging and the widespread availability of biosignals have set the stage for AI to play a transformative role in improving diagnostic precision, streamlining clinical workflows, and minimizing manual errors.
This session focuses on the promotion aims to gather original research and comprehensive reviews on the innovative convergence of AI techniques with biomedical image and signal analysis. We are especially interested in works that present intelligent algorithms for image enhancement, signal denoising, disease classification, and real-time monitoring. Contributions highlighting multimodal data integration, automated segmentation, quality evaluation, and deep learning applications are particularly encouraged.
We invite submissions that investigate aspects beyond performance metrics, offering insights into algorithmic interpretability, clinical usability, and practical deployment. Studies grounded in real-world datasets, prospective validation, or collaborations with clinical partners are highly desirable. This session also promotes discussion on the design and implementation of AI systems in medical contexts.
By showcasing methodological advancements and applied research, this issue aims to foster knowledge exchange between researchers, clinicians, and engineers. Through this interdisciplinary lens, we aspire to shape the next generation of intelligent healthcare solutions and provide a platform for impactful contributions in the evolving landscape of biomedical data analysis.
Session Chairman
Prof. Shih-Lun Chen, Prof. Chiung-An Chen, Prof. Tsung-Yi Chen
Institution
Chung Yuan Christian University, Taiwan; Ming Chi University of Technology, Taiwan; Feng Chia University, Taiwan
Status
Invited Papers Only
Topic
(IV4) Multidisciplinary AI Approaches for Trust, Security, and Governance in Digital Ecosystems
Session Description
This session brings together multidisciplinary research at the intersection of artificial intelligence, trust modeling, and digital content protection. It features contributions leveraging large language models, zero-shot classification, and style-controlled response generation for real-time sentiment-aware systems. Topics also include blockchain-based governance frameworks for platform economies and optimization-driven watermarking techniques for digital asset security. The session aims to foster dialogue around building resilient, transparent, and trustworthy AI infrastructures for digital commerce, content management, and decentralized platforms.
Session Chairman
Prof. Chien-Hung Lai
Institution
National Taipei University of Technology, Taiwan
Status
Open for Submission
mission