The topics are grouped into three main thematic areas. Topics of interest scope all related subareas including but not limited to the following:

1. Artificial Intelligence and Applications

• Machine Learning and Data Mining
• Natural Language Processing
• Decision Support Systems
• Intelligent Automation in Manufacturing
• AI in Healthcare
• Financial Forecasting with AI and Predictive Analytics
• Business Intelligence Enhanced by AI
• AI-powered Customer Relationship Management (CRM)
• Artificial Intelligence in Teaching Methods and Education
• Artificial Intelligence in Chemistry Sciences and Material Discovery
• Artificial Intelligence in Media Studies and Historical Studies
• Character, text and graphics recognition
• Document Analysis and Processing
• Artificial Intelligence in Linguistics, Literary, and Religious Analysis
• Artificial Intelligence in Sports Training and Exercise
• AI for Personalized Learning and Curriculum Development
• AI in Environmental Science and Sustainability
• AI for Predictive Analytics and Decision-Making in Business
• AI in Sports Analytics and Performance Enhancement
• Artificial Intelligence in Economics, Accounting and Finance

2. Computer Vision and Image Processing

• Self-Supervised Learning
• Transformer Architectures
• Image Synthesis and Augmentation
• Explainable AI in Vision
• Edge Computing in Vision Systems
• Zero-shot Learning
• Semantic Segmentation with Deep Learning
• Transfer Learning in Computer Vision
• Multi-modal Learning in Computer Vision
• Image analysis, coding and processing
• Industrial Applications of Pattern Recognition
• 3D Vision and Geometry
• Computer Vision for Autonomous Vehicles
• Deep Learning for Video Compression
• Real-time Object Detection and Tracking
• AI for Drone-based Imaging
• Neural Networks for Document Image Analysis
• Augmented Reality and Virtual Reality Applications
• Facial Recognition Technology and its Ethical Implications
• Deep Fakes Detection and Prevention Techniques

3. Blockchain, IoT, and Internet of Things

• Decentralized Finance (DeFi) with Blockchain
• Next-gen Decentralized Applications (DApps) Architectures
• Smart Contracts 2.0: Beyond Traditional Use Cases
• Interoperability Challenges in Blockchain-IoT Integration
• Privacy-Preserving Approaches in IoT Networks
• AI-Enabled Industrial IoT (IIoT) Innovations
• Sustainable Supply Chains with Blockchain Solutions
• Scalability Solutions for Blockchain Networks
• Security and Privacy in IoT and Blockchain
• Edge Computing Integration in IoT and Blockchain
• Tokenization of Physical Assets on Blockchain
• Blockchain for Healthcare: Applications in Medical Records and Pharmaceuticals
• IoT in Agriculture: Smart Farming Solutions
• IoT Device Authentication and Authorization
• Quantum-Resistant Blockchain Technologies
• Blockchain in Government and Public Services
• IoT in Smart Cities: Infrastructure and Services
• Energy-Efficient Protocols for IoT Devices
• Blockchain for Voting Systems: Transparency and Security
• IoT and Blockchain for Disaster Management and Response