Virtual and Augmented Reality and LLM in Healthcare
Session Chair
Tsung-Lu Michael Lee, Southern Taiwan University of Science and Technology, Taiwan
Topic of Interest
AI-Driven Virtual and Augmented Reality for Medical or Healthcare Applications
Large Language Models for Medical or Healthcare Applications
Intelligent Biomedical Imaging for Medical or Healthcare Applications
Machine Learning in Healthcare
AI-Enhanced Medical or Healthcare Training
Intelligent Rehabilitation Technologies
Cognitive and Mental Health Interventions
AI-Powered Telemedicine
Smart Wearable Health Technologies
Intelligent Bioinspired Systems
Advanced Biosignal Processing
Personalized Precision Medicine

Emerging Trends and Advances in Artificial Learning for Healthcare
Session Chair
Larbi Boubchir, University of Paris 8, France
Topic of Interest
Artificial Intelligence (AI) has led to greater interest in the healthcare domain and becomes a useful solution for many complex problems. In this context, various approaches based on Artificial Learning (AL) have been proposed as innovative solutions to several research problems in health data analysis related to diagnosis, decision-making, prediction, forecasting, and so on. With advancements in AL, advances have been made in deep learning, reinforcement learning, federated learning, and explainable AI, providing many contributions for various research challenges.

This special session aims to bring together researchers and scientists from academia and industry as well as practitioners working in this field to present and discuss their recent research and developments. We welcome research contributions for the following (but not limited to) topics:
• AL for health informatics
• AL for e-health and m-health
• AL for biomedical data analysis and processing
• AL for diseases detection and diagnosis
• AL for pandemics forecasting
• AL in biomedical engineering
• AL in Brain-Computer Interfaces (BCI)
• AL for neural rehabilitation engineering
• AL for Internet of Medical Things (IoMT)
• AL in bioinformatics
• Related applications

GameTech Impact: Driving Consumer Engagement and Citizen Science through Emerging Technologies
Session Chair
Celestine Iwendi, University of Greater Manchester, Bolton, United Kingdom
Vandana Sharma, Christ University, Delhi NCR, India
Paul Hollins, University of Greater Manchester, Bolton, United Kingdom
Pradeep Hewage, University of Greater Manchester, Bolton, United Kingdom
Paul Watson, University of Greater Manchester, Bolton, United Kingdom
Session Abstract
This special session focuses on the intersection of consumer technology, citizen science, and gaming to drive societal impact. It invites researchers and practitioners to explore the integration of emerging technologies such as AR, VR, and AI in consumer games, leveraging gamification to enhance engagement and embedding citizen science principles into game design. The session highlights games addressing critical areas like environmental sustainability, inclusivity, education, and the UN Sustainable Development Goals (SDGs). Key topics include ethical considerations, impact evaluation analytics, youth empowerment, conflict resolution, economic opportunities, and emerging trends in gaming. Join us to uncover the transformative potential of games in shaping a better future.
Topics of Interest
GameTech
Consumer Engagement
Citizen Science
Emerging Technologies
Gamification
Societal Impact
Analytics
Youth Engagement
Conflict Resolution

Navigating the Legal Landscape of AI in Gaming: Challenges, Opportunities, and Future Directions
Session Chair
Kai Erenli, UAS BFI Vienna, Austria
Topics of Interest
The integration of AI into gaming has transformed the industry, from procedural content generation to intelligent NPCs and personalized player experiences. However, this innovation comes with complex legal and regulatory challenges. This special session will highlight the evolving intersection of AI and gaming law, focusing on intellectual property rights, data protection, content moderation, algorithmic transparency, and ethical design.
We will discuss real-world case studies, highlighting the implications of current legal frameworks on AI-driven game development. Participants will explore how policymakers, developers, and legal professionals can collaborate to foster innovation while addressing risks, including player privacy, algorithmic bias, and regulatory compliance. Attendees will leave with actionable insights into navigating this rapidly changing landscape and contributing to a sustainable and legally compliant (gaming) ecosystem.

AI-driven Serious Game for Healthcare and Education
Session Chair
Mei-Ju Su, Chung Yuan Christian University, Taiwan
Po-Hsun Cheng, National Kaohsiung Normal University, Taiwan
Yu-Huei Su, National Tsing Hua University, Taiwan
Topics of Interest
For this special session organized by experts with backgrounds in biomedical engineering, software engineering, and music-assisted care, the session is designed with specific goals and anticipated outcomes in mind. The unique blend of these interdisciplinary backgrounds aims to foster innovative approaches in the design and application of serious games.
Types of Papers and Research Areas Likely to be Attracted:
• Technological Innovations: Papers that explore new AI technologies, game design architectures, and their applications in healthcare and education.
• Empirical Research: Studies that evaluate the effectiveness of AI-driven serious games in real-world settings, providing data on outcomes in learning achievements or health improvements.
• Theoretical Contributions: Discussions on theoretical frameworks that underpin the design and use of AI in serious games, including ethical considerations and user experience design.
• Interdisciplinary Approaches: Research that combines insights from healthcare, education, music technology, and software engineering to address specific challenges in serious game development.

Deployment and Applications of Large Language Models in Edge-IoT Ecosystem
Session Chair
Partha Pratim Ray, Sikkim University, India
Topics of Interest
Efficient LLM Architectures for Edge-IoT Deployment
Semantic Communication in Edge-IoT
Real-Time Decision-Making with LLMs for Edge-IoT Applications
Energy-Efficient LLM Deployment at Edge for IoT Enabled Interactions
Adaptive Edge-IoT LLMs for Dynamic Environments
LLMs for Predictive Maintenance in Industrial Edge-IoT
Integration of LLMs with Edge-IoT Protocols
Performance Metrics and Benchmarks for Edge-IoT LLMs
Framework for LLM enabled Edge-IoT Scenario

Exploring the Integration of Games and Technology
Session Chair
Chih-Cheng Sun, Southern Taiwan University of Science and Technology, Taiwan
Ching-I Cheng, Southern Taiwan University of Science and Technology, Taiwan
Topics of Interest
The effectiveness of AI applications in game development
Virtual and augmented reality to cultural heritage
Gamification

Neuromorphic Computing and Artificial Intelligence Circuit Design
Session Chair
Yu-Cheng Fan, National Taipei University of Technology, Taiwan
Ching-Min Lee, I-Shou University, Taiwan