Healthcare is undergoing a transformative revolution through Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of Medical Things (IoMT), Explainable AI (XAI), Big Data Analytics, and Digital Health Technologies. Intelligent Health Informatics is emerging as a multidisciplinary field that enhances disease diagnosis, patient monitoring, personalized treatment, healthcare decision-making, and remote healthcare delivery.

This special session provides a platform for researchers, academicians, healthcare professionals, industry experts, and practitioners to present innovative methodologies, applications, and emerging trends in AI-enabled healthcare systems.

Biomedical Computing and Health Engineering is transforming modern healthcare by integrating Artificial Intelligence (AI), Machine Learning (ML), Biomedical Signal Processing, Medical Imaging, Internet of Medical Things (IoMT), Wearable Technologies, Digital Health, and Computational Intelligence. The convergence of advanced computing with biomedical engineering enables intelligent diagnosis, personalized healthcare, remote monitoring, clinical decision support, and precision medicine.

This special session aims to bring together researchers, academicians, healthcare professionals, clinicians, biomedical engineers, and industry experts to discuss recent advances, innovative methodologies, and real-world applications in biomedical computing and intelligent healthcare systems. The session welcomes both theoretical developments and practical implementations addressing emerging challenges in healthcare technologies.

Artificial Intelligence (AI) has traditionally focused on developing increasingly sophisticated models. However, the paradigm is shifting toward Data-Centric AI, where the quality, diversity, and management of data are recognized as the primary drivers of AI performance. By emphasizing data collection, annotation, curation, augmentation, governance, and continuous improvement, Data-Centric AI aims to build robust, reliable, fair, and trustworthy AI systems that generalize effectively across diverse real-world scenarios.

This special session invites original research, review articles, and application papers that advance the theory, methodologies, and practical deployment of Data-Centric AI across healthcare, finance, manufacturing, cybersecurity, transportation, smart cities, agriculture, education, and other domains.

The proposed Special Session, "Responsible, Sustainable and Intelligent Technologies for Emerging Systems", aims to bring together researchers and practitioners working on next-generation intelligent and emerging technologies. The session will cover advances in Artificial Intelligence, Machine Learning, IoT, Wireless Sensor Networks, embedded and electronic systems, communication technologies, edge computing, and cyber-physical systems.

With growing concerns regarding energy efficiency, sustainability, security, privacy, reliability, and responsible technology development, the session will provide a platform for innovative research addressing these challenges. It will encourage interdisciplinary contributions integrating intelligent computing, sensing, communication, and sustainable technologies for real-world applications.

This special session aims to bring together researchers and practitioners working at the intersection of computer vision, biomedical image analysis, graph theory, mathematical modeling, and intelligent systems. The session focuses on novel AI-driven methodologies for healthcare, pattern recognition, image understanding, and mathematical intelligence.

The objectives are to present recent advances in AI-driven computer vision, discuss state-of-the-art biomedical imaging techniques, explore mathematical intelligence for intelligent systems, promote graph-theoretic and optimization approaches, and encourage interdisciplinary collaboration among AI, healthcare, and mathematics researchers.