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 6 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) The Convergence of Technology and Humanities: Multidimensional Exploration of a Smart Future
Session Description
Integrating Artificial Intelligence (AI), Generative AI, and blockchain technology is driving a new wave of innovation across diverse sectors, from urban development and healthcare to e-commerce and industrial operations. Emerging advancements in cryptography, blockchain systems, and smart contracts are redefining how we approach data security, transaction transparency, and decentralized applications while intersecting with logistics, ERP systems, and precision medicine.
This agenda explores the synergy between AI and blockchain technologies, emphasizing their applications in creating secure, efficient, and sustainable solutions. Key topics include:
1. Technology and Urban Development with Decentralized Systems
2. Renewable Energy Innovations in Blockchain Applications
3. Statistical Models and AI in Data-Driven Decision Making
4. Advancements in Cryptography and Data Privacy with AI
5. Blockchain Technology in Healthcare and Precision Medicine
6. Generative AI in Commercial Marketing and E-commerce
7. Blockchain-Powered Logistics and Supply Chain Systems
8. Smart Contracts for ERP and Enterprise Automation
9. Decentralized Warehouse Management with Blockchain and IoT
10. Generative AI in Graphical Design, Image Recognition, and AR/VR
11. Big Data, Blockchain, and AI for Business Strategy and Forecasting
12. Secure Identity Management and Authentication Systems Using AI and Blockchain
13. The Role of Blockchain in Achieving Sustainable Development Goals (SDGs)
14. Ethical and Policy Challenges in AI-Driven Blockchain Applications
15. Others
Session Chairman
Prof. Wei Chien; Lect. Yu-Cheng Chang
Institution
Tunku Abdul Rahman University of Management and Technology (TAR UMT), Malaysia; Ningde Qianwei New Energy Group Co. Ltd., China
Status
Open for Submission
Topic
(IV2) Digital Learning and Innovative Technology Applications
Session Description
Topic: Digital Learning and Innovative Technology Applications
The digital learning landscape is transforming with the rapid advancements in Generative AI, 5G, and AR/VR technologies. This workshop explores how these cutting-edge technologies can revolutionize digital learning models and enhance teaching effectiveness and learning experiences.
Key Objectives:
1. Exploring Emerging Trends in Digital Learning – Analyze the current applications and future directions of Generative AI, 5G, and AR/VR in education.
2. Showcasing Innovative Use Cases – Invite experts from academia and industry to share successful case studies demonstrating how new technologies can enhance teaching quality and learning outcomes.
3. Facilitating Cross-Disciplinary Collaboration – Establish a networking platform for EdTech professionals, educators, and policymakers to discuss the future possibilities of digital learning.
4. Enhancing Personalized Learning Experiences – Investigate how AI and immersive technologies can create personalized learning environments that boost engagement and academic performance.
5. Hands-on Experience with New Technologies – Provide interactive workshops and live demonstrations to allow participants to experience the impact of these innovative technologies in education.
This workshop aspires to bring together the education, technology, and industry sectors to drive innovation in digital learning and lay a solid foundation for future learning models.
Session Chairman
Prof. Chih-Hsiao Tsai and Prof. Yu-Cheng Wang
Institution
National Taipei University of Education, Taiwan
Status
Open for Submission
Topic
(IV3) Computational Technology and Big Data Applications in Medical Engineering: IoT and AI-Driven Healthcare
Session Description
With the rapid advancements in computational technology, big data analytics, and Internet of Things (IoT) technology, the field of medical engineering is undergoing a technological revolution. Data-driven medical decision-making and intelligent healthcare systems enhance diagnostic and treatment efficiency and enable new personalized treatment and preventive medicine paradigms. This workshop explores how computational technology, artificial intelligence (AI), big data applications, and IoT technology drive innovation in medical engineering, promoting the development of intelligent healthcare, brain-computer interfaces (BCI), remote monitoring, and precision medicine.
Key Objectives:
1.Exploring the Applications of Computational Technology and Big Data in Medical Engineering
Investigating AI and machine learning (ML) use in medical imaging processing, biosignal analysis (e.g., EEG, ECG), clinical data mining, and drug development, including applications in disease diagnosis, treatment outcome prediction, and personalized treatment planning.
2.The Role of IoT Technology in Intelligent Healthcare
Analyzing how IoT technology contributes to smart medical devices, remote monitoring systems, and health management platforms, demonstrating how smart sensors, wearable devices, and real-time data analysis technologies improve patient healthcare experiences and quality of life.
3.Facilitating Cross-Disciplinary Collaboration between Medical Engineering and Computational Technology
Establishing a platform that integrates medicine, computational science, engineering technology, and clinical applications, encouraging technical collaboration among academia, industry, and healthcare institutions to jointly advance innovative medical engineering applications.
4.Applying Big Data Analytics and Precision Medicine Technologies
Exploring how to combine big data technology and applied mathematical methods to perform clinical data analysis, data processing, and health risk assessment, supporting early disease diagnosis and formulating personalized treatment strategies.
5.Implementation and Experience of the Latest Medical Engineering Technologies
Showcasing practical applications of computational technology, IoT devices, and big data analytics in medical engineering, covering real-world scenarios such as real-time data monitoring, remote health management systems, robotic-assisted technologies, and more.
This workshop aims to bring together experts and practitioners from various fields to foster innovation in medical engineering, contributing to the evolution of smarter, more efficient, and more personalized healthcare solutions.
Session Chairman
Prof. Chih-Tsung Chang and Prof. Jian-Fu Tang
Institution
National Taiwan Ocean University, Taiwan; National Kaohsiung University of Science and Technology, Taiwan
Status
Open for Submission
Topic
(IV4) AIoT-Driven Innovation for Smart Cities and Sustainable Infrastructure
Session Description
This invited session explores the convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) — collectively known as AIoT — as a transformative force in the development of smart cities and sustainable infrastructure. As urban areas face growing challenges in mobility, resource efficiency, logistics, and public service delivery, AIoT technologies offer innovative solutions that optimize operations, reduce environmental impact, and enhance citizen well-being.
The session will highlight cutting-edge applications of AIoT in diverse urban contexts, such as semi-automated warehousing, smart manufacturing processes (e.g., intelligent coffee roasting systems), smart parking management, energy-efficient buildings, and adaptive infrastructure systems. Emphasis will be placed on real-world implementations, cross-disciplinary integration, and scalable architectures that support long-term sustainability and resilience.
We welcome research papers, case studies, and practical demonstrations that cover but are not limited to:
- AIoT-enabled systems for logistics, warehousing, and smart manufacturing
- Smart mobility and intelligent urban transportation systems
- Digital twin and real-time data analytics for building and civil infrastructure
- IoT sensor networks and AI algorithms for facility monitoring and control
- Sustainable energy management and predictive maintenance in smart cities
- Human-centered design in AIoT-driven urban services
This session aims to foster dialogue among researchers, practitioners, and policymakers to shape the future of intelligent and sustainable urban development through AIoT innovation.
Session Chairman
Mr. Kuo-Hsien Lee, Ms. Yuan-Ping Yu, and Dr. Yu-Chen Yeh
Institution
AIoTA; Department of Food and Beverage Management, Overseas Chinese University
Status
Open for Submission