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.

Apply for Invited Session

Topic

(IV1) AIoT and Big Data–Driven ESG Sustainability for Smart Cities and Intelligent Industries

Session Description

With the rapid advancement of digital technologies and the increasing global focus on Environmental, Social, and Governance (ESG) sustainability, Artificial Intelligence (AI), Internet of Things (IoT), and Big Data analytics are playing a critical role in enabling smart cities, intelligent industries, and sustainable development. The session particularly welcomes contributions that demonstrate how AIoT architectures, edge/cloud computing, and big data analytics can be applied to areas such as carbon reduction, energy management, smart manufacturing, digital governance, and social sustainability.

Topics of Interest include, but are not limited to:

• AI and Machine Learning for ESG and Sustainability

• Generative AI and Intelligent Decision Support Systems

• IoT / AIoT Architectures and Edge Computing

• Big Data Analytics for ESG Measurement and Reporting

• Smart Energy Systems and Carbon Management

• Sustainable Manufacturing and Smart Supply Chains

• Smart Cities, Smart Healthcare, and Aging Society Solutions

• ESG Digital Transformation and Governance Platforms

• Industry-oriented Case Studies and Applied Research

Session Chairman

Dr. Kuo-Hsien Lee, CEO of AIoTA

Co-chair:

Prof Dr. Yu Jing Chiu, Department of Business Administration,
Chung Yuan Christian University, Taiwan

Associate Prof Dr. Wenting Liu, Head of Master of AI for Business,
Singapore University of Social Sciences, Singapore

Associate Prof. and Chair Dr. Chih-Wei Yang, Department of Commerce Technology Applications,
Chihlee University of Technology, Taiwan

Associate Prof Dr. Che-Wei Chang, Department of Marketing and Logistics Management, Minghsin University of Science and Technology, Taiwan

Status

Open for Submission

Topic

(IV2) Human-Centric Artificial Intelligence: Intelligent Systems, Interactive Technologies, and Secure, Sustainable, and Enterprise-Oriented Applications

Session Description

This session focuses on human-centric and system-oriented artificial intelligence, integrating intelligent systems, automation and control, unmanned aerial vehicles (UAVs), signal processing, computer vision, interactive technologies, information security, enterprise information systems, and sustainable societal applications.

With the rapid advancement of Artificial Intelligence (AI), Large Language Models (LLMs), Model Context Protocols (MCP), multimodal perception, intelligent hardware, UAV and aerospace systems, and data-driven enterprise platforms, intelligent technologies are increasingly deployed in complex physical, organizational, and social environments. Beyond performance, modern intelligent systems must address automation, reliability, security, explainability, sustainability, enterprise integration, and societal impact.

This session welcomes applied, interdisciplinary, and system-level research spanning the following three integrated dimensions:

(A) Intelligent Systems, Automation, Security, UAV, and Enterprise Architectures

AI applications in automation control, intelligent equipment, autonomous systems, and UAVs
UAV perception, navigation, control, swarm intelligence, and onboard intelligence
Large Language Models (LLMs), MCP, intelligent agents, and multimodal reasoning
Video, audio, and multimodal signal processing, including airborne sensing
Computer vision, image understanding, and aerial image analysis
Information security, cryptographic structure design, privacy-preserving systems, and steganography
System architecture design, communication systems, and secure data transmission (including UAV communications)
Enterprise information systems, ERP system architecture, integration, and practical deployment
Big data platforms, analytics models, and data-driven system architectures
Emerging AI hardware, embedded systems, edge intelligence, and onboard computing

(B) Human–Machine Interaction, Interactive Media, and Organizational Intelligence

Human–AI interaction, human-in-the-loop control, and collaborative intelligent systems
Interactive system design, user experience (UX), and intelligent interfaces
Computer graphics, animation processing, AR/VR, and immersive media technologies
Affective computing, emotional interaction, and humanities-oriented AI
Human-centered control interfaces for complex and safety-critical systems
AI-assisted management systems, organizational intelligence, and decision-support analytics

Aerospace and UAV technologies, including system design, onboard intelligence, communication equipment, and usage scenarios
UAV applications in smart cities, urban–rural development, environmental monitoring, public safety, and disaster response
AI and big data applications in business management, operations, and strategic decision making
ERP-driven process optimization, supply chain analytics, and enterprise automation
Intelligent systems for social welfare, public services, and healthcare applications
Medical technologies, healthcare AI, and UAV-assisted medical services
Legal, ethical, governance, and airspace management issues related to intelligent systems
Responsible, explainable, and trustworthy AI and UAV systems for real-world deployment

Session Chairman

Prof. Wei Chien, Lect. Yu-Cheng Chang

Institution
Tatung University, Taiwan; Lunghwa University of Science and Technology, Taiwan

Status

Open for Submission

Topic

(IV3) Educational Technology and System Innovation: Design of AI Assistants and Intelligent Learning Systems

Session Description

This special session focuses on system-oriented innovations in educational technology, emphasizing the engineering design and integration of AI assistants and intelligent learning systems. Educational environments are treated as measurable and verifiable intelligent system testbeds rather than purely pedagogical contexts.

The session highlights the development of sensor-integrated and data-driven learning systems that combine multimodal sensing, real-time data processing, edge–cloud architectures, and AI-based decision mechanisms. Particular attention is given to AI assistants embedded as system components within learning platforms, enabling state awareness, adaptive feedback, and performance optimization.

Submissions are invited that demonstrate engineering rigor, system integration, and practical validation of intelligent learning technologies, advancing educational applications through applied AI and intelligent system design.

Session Chairman

Prof. Ssu-Hsuan Lu

Institution
Lunghwa University of Science and Technology, Taiwan

Status

Open for Submission

Topic

(IV4) 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