Special Sessions
This special session aims to bring together researchers, practitioners, and industry experts to present and discuss the latest advancements in Artificial Intelligence (AI) and Machine Learning (ML) applied to the healthcare domain. The session will cover a wide range of AI-driven healthcare solutions, from medical imaging and diagnostics to clinical decision support and personalized medicine. We welcome original research, reviews, and case studies that explore innovative AI techniques and their practical impact on healthcare systems.
In an era where digital ecosystems are becoming increasingly complex, dynamic, and interconnected, businesses must reassess their core strategies, operational frameworks, and inherent value models to remain competitive. This theme examines the significant transformation organisations experience as they adopt Artificial Intelligence (AI) and Machine Learning (ML) to become genuinely adaptive, data-driven enterprises. The main aim is to showcase and analyse the various ways AI and ML are not merely enhancing but fundamentally reshaping key aspects of the business ecosystem. We invite thought leaders, researchers, and practitioners to share insights, frameworks, practical implementations, real-world case studies, and best practices. Both technical and strategic contributions are welcome, especially those exploring how AI/ML can support resilient, scalable, and human-centred business ecosystems.
The integration of Artificial Intelligence (AI) is revolutionizing how image data, often in conjunction with associated text, is processed, analyzed, and leveraged for critical decision-making. From enhancing diagnostic precision in medical imaging to enabling precision agriculture and ensuring quality control in manufacturing, AI-driven image analysis has become a cornerstone of modern innovation. However, the adoption of these powerful tools in high-stakes domains hinges on our ability to trust their outputs and understand their reasoning.
The growth of the Internet of Everything (IoE) has increased the complexity and scale of cybersecurity threats. While traditional AI-based security methods are vital, they are becoming less effective against the evolving threat landscape, which features distributed systems, zero-trust models, and more sophisticated attackers. This special session aims to explore advanced and innovative AI techniques that go beyond traditional machine learning and rule-based methods to safeguard IoE ecosystems.
Advancing Digital Society Through Digital Twins and Intelligent Systems. This session explores cutting-edge research and applications of Digital Twins integrated with Artificial Intelligence and Intelligent Systems to accelerate the development of sustainable, resilient, and human-centric Digital Societies. We invite submissions on novel methodologies, architectures, case studies, and transformative use cases demonstrating how interconnected digital replicas and intelligent analytics can optimize complex systems, enhance decision-making, and drive innovation across societal domains like smart cities, industry, healthcare, and sustainability.
This special session addresses the critical role of artificial intelligence in modernizing energy systems and advancing smart power technologies. As the global energy landscape undergoes rapid transformation toward sustainability and efficiency, AI emerges as a key enabler for optimizing energy generation, distribution, and consumption across diverse applications.
This session is designed for researchers, energy professionals, smart grid engineers, and policy makers working at the intersection of AI and sustainable energy technologies, providing insights into both current innovations and future research directions in intelligent energy systems.
This special session focuses on recent advances in AI-powered sensing technologies designed to address challenges in modern healthcare systems. With the rise of intelligent systems capable of continuous, contactless, and context-aware monitoring, this session invites high-quality research papers that demonstrate the integration of artificial intelligence with sensing modalities—such as radar, wearable devices, vision systems, and wireless networks—for health diagnostics, monitoring, and intervention.
The session will feature paper presentations covering novel methodologies, system designs, and real-world deployments that highlight the role of AI in enhancing the accuracy, efficiency, and accessibility of healthcare services. Researchers and practitioners are encouraged to present work that bridges the gap between sensing hardware, machine learning algorithms, and clinical applications.