Artificial Intelligence and Machine Learning:

Machine Learning, Deep Learning & AI, Fuzzy Logic and Fuzzy Systems, Hybrid Intelligent Systems, Information Retrieval, Robotics, Soft Computing and Applications, Probabilistic Reasoning, Evolutionary Computing, Hybrid Intelligent Systems, Software Agents, Soft Computing Theory and Applications, Web Intelligence Applications & Search, Advances in GenAI and XAI.

Text Analytics and Natural Language Processing:

Topic Recognition and Topic Tracking, Subject Indexing, Event and Anomaly Detection - Sentiment Analysis, Opinion, Personality and Emotion Detection in Social Media, Author Identification and Plagiarism Detection, Document Summarization and Identification, Similarity Analysis, Clustering, Hierarchic Clustering, Methods for Classification and Categorisation, Visualisation of NLP and IR Results, Ontologies, Knowledge Representation, Semantic Web Technologies, Ontology Generation and Query Expansion.

Computer Networks and Internet of Things:

Network Protocols and Architectures, Wireless Sensor Networks, Edge and Fog Computing, Security and Privacy, Network Virtualization and Software-Defined Networking, Blockchain IoT, IoT Healthcare, IoT Analytics, IoT and Cybersecurity, IoT Waste Management, IoT Artificial Intelligence, Smart Farming IoT, Smart Agriculture, Smart Cities, Smart Campus and Smart Villages, etc.

Software Engineering and Knowledge Engineering:

Knowledge Engineering and Information Systems: Knowledge Acquisition, Modeling, and Management, Knowledge-Based and Expert Systems, Information Systems Management and Strategic IT Alignment, Business Intelligence, Data Analytics, and CRM Systems, Information Systems Security and Privacy, Tools and Technologies for Knowledge Management, Enterprise Knowledge Management Strategies and Project Implementations, Intelligent Information Systems and Decision Support.

Software Engineering Foundations and Practices: Software Engineering Methodologies and Process Models, Requirements Engineering and System Design, Formal Methods in Software Specification and Verification, Empirical Software Engineering and Evidence-Based Approaches, Software Testing, Validation, and Quality Assurance, Software Evolution, Maintenance, and Reengineering, Service-Oriented Architectures (SOA) and Service-Based Systems, AI Applications in Software Engineering and Intelligent Code Generation, Dependable, Reliable, and Fault-Tolerant Systems, Social, Ethical, and Human Aspects of Software Engineering

Generative AI in Education: Emerging Paradigms, Practices, and Possibilities:

Generative AI in transforming education through innovative pedagogical models, AI literacy, collaborative learning tools, and responsible use. We invite work on GenAI-driven systems, empirical studies, and future-focused perspectives that shape responsible and impactful educational innovation.

Digital Transformation and Industry 5.0:

Collaborative and Intelligent Systems: AI-Driven Digital Transformation Strategies, Human-Centric and Ethical AI in Collaborative Systems, Distributed Cognition and Human-Machine Interaction, Hybrid Collaboration Across Organizations, Humans, and Machines, Resilient and Agile Digital Ecosystems.

Industry 5.0 and Smart Environments: Evolution of Industry 5.0, Society 5.0, and Healthcare/Agriculture 5.0, Cyber-Physical Systems (CPS) in Collaborative Networks, Smart Manufacturing and Factories of the Future, Co-working in Human-Machine Hybrid Environments, Sustainable and Resilient Production Models.

Emerging Technologies and Innovation: Digital Innovation Hubs and Platform Economies, Digital Supply Chains and Interconnected Ecosystems, Crisis and Disaster Management with Collaborative Technologies, Ethics, Security, and Trust in Digital Collaboration, Value Creation and Impact Assessment in Digital Networks.

Sectoral Applications: e-Health, Digital Healthcare, and Remote Care, Smart Logistics, Urban Mobility, and Smart Cities, Agriculture 4.0/5.0 and Food System Transformation, Collaborative Energy Systems and Green Infrastructure, Collaborative e-Government and Digital Governance Models.

Digital Transformation in Healthcare:

Collaborative and Intelligent Healthcare Systems: AI-Driven Strategies for Healthcar Digitalization, Human-Centric and Ethical AI in Clinical Decision Support, Distributed Cognition and Human-Machine Interaction in Medical Systems, Hybrid Collaboration Between Patients, Providers, and Digital Platforms, Resilient and Agile Digital Health Ecosystems.

Healthcare 5.0 and Smart Medical Environments: Evolution of Healthcare 5.0 and Patient-Centric Care Models, Integration of Cyber-Physical Systems in Clinical Workflows, Smart Hospitals and Connected Health Infrastructure, Human-Machine Co-Working in Healthcare Settings, Sustainable and Resilient Healthcare Delivery Models.

Innovation and Emerging Technologies in Health: Digital Health Innovation Hubs and Platforms, Interconnected Digital Health Supply Chains and Ecosystems, Crisis Response and Disaster Management Technologies in Health, Security, Ethics, and Trust in Digital Health Systems, Data-Driven Value Creation and Outcome Measurement.

Cross-Sectoral Applications in Digital Health: e-Health, Telemedicine, and Remote Patient Monitoring, Smart Health Logistics and Urban Health Mobility, AI-Driven Food and Agriculture Systems for Public Health, Collaborative Energy and Infrastructure for Smart Hospitals, Digital Governance and Policy Models in Public Health Systems.

Open Track – Emerging Topics in Computing:

This track invites high-quality research papers in computing and related disciplines that do not fall directly under the defined thematic tracks of the conference. It serves as a platform for innovative, interdisciplinary, and emerging topics that push the boundaries of current research and practice in computing.

Researchers are encouraged to submit original contributions covering novel ideas, methodologies, systems, and applications that demonstrate scientific rigor and potential impact, even if they span across or lie outside traditional categories.