Theoretical Topics

• Symbolic Artificial Intelligence and Automated Reasoning
• Machine Learning: Trends, Theoretical Advances, and Innovations
• Neurosymbolic AI: Bridging Logical Reasoning and Deep Learning
• Soft Computing, Evolutionary Algorithms, and Intelligent Optimization Techniques
• Big Data Analytics, Data Mining, and Next-Generation Databases
• Mathematics for AI and Data Science: Theoretical and Applied Perspectives
• Statistical and Probabilistic Foundations of Artificial Intelligence
• Multimodal Signal Processing: Image, Video, Text, Speech, and Sensor Fusion
• Explainable AI (XAI) and Trustworthy AI Systems
• Reinforcement Learning and Decision-Making in Uncertain Environments

• Edge AI and Federated Learning: Theory and Challenges

Applied Topics

• AI in Medicine and Healthcare: From Diagnostics to Personalized and Predictive Medicine
• AI for Smart Cities: Urban Planning, Traffic Management, and Sustainable Development
• AI for Humanitarian Purposes: Crisis Management, Disaster Response, and Risk Reduction
• AI in Cybersecurity: Threat Detection, Risk Assessment, and Defense Systems
• AI Applications in Oil, Gas, and Petrochemical Industries: Monitoring and Optimization
• Artificial Intelligence in Marine and Shipbuilding Industries: Control, Navigation, Communications, Telecommunications, Vessels, and Intelligent Systems
• AI in Control Systems, Robotics, and Industrial Automation
• AI for Utility Management: Enhancing Efficiency in Power, Gas, and Water Systems
• AI in Logistics, Transportation, and Maritime Supply Chain Optimization
• AI for Office Automation: Smart Workflows, Assistants, and Document Management
• Applications of Foundation Models: Large Language Models (LLMs), Large Action Models, and Multimodal Foundation Models
• AI in Education: Intelligent Tutoring Systems and Personalized Learning
• AI in Environmental Monitoring and Climate Change Mitigation
• AI for Finance and Banking: Fraud Detection, Risk Management, and Forecasting
• AI in Agriculture and Food Security: Smart Farming and Precision Agriculture

• Ethics, Fairness, Privacy, and Regulatory Challenges in AI Deployment