Topics including but not limited to the following:
Track 1: Core AI & Machine Learning
- AI Theory and Algorithms
- Machine Learning (supervised, unsupervised, online, active)
- Deep Learning (architectures, generative models, foundation models, LLMs)
- Reinforcement Learning (decision and control, planning, robotics)
- Federated Learning & Self-Supervised Learning
- Neural Networks, Fuzzy Systems, and Soft Computing
- Evolutionary Computing & Swarm Intelligence
- Optimization (convex, non-convex, stochastic) & Probabilistic Methods (Bayesian networks)
- Explainable AI (XAI) & Interpretable AI
- Quantum Artificial Intelligence
- Natural Language Processing & Large Language Models (LLMs)
- Trustworthy ML (fairness, robustness, privacy, safety)
Track 2: Data Science, Engineering & High-Performance Computing
- Data Science & Big Data Analytics
- Data & Process Mining
- Knowledge Discovery, Representation, and Reasoning
- Predictive Modeling & Forecasting
- Data Visualization & Data Governance
- High Performance Computing (HPC)
- Cloud, Scalable, and Edge Computing
- Big Data Security and Privacy
- Time Series Analysis & Inverse Problems
Track 3: Security, Privacy & Trustworthy Systems
- Cybersecurity & Intrusion Detection/Prevention
- Cryptography & Quantum Cryptology
- Blockchain Technologies
- Secure and Privacy-Preserving Machine Learning
- Mobile & Smart Card Security
- Identity and Security in IoT
- Access Control Models & Security Policies
- Communication and Information Security
- Biometrics & Watermarking
- Secure Transactions
- Trustworthy ML (fairness, robustness, privacy, safety)
Track 4: Next-Generation Networks & Intelligent Systems
- Wireless/Mobile Networks & 5G/6G Cellular Systems
- Internet of Things (IoT) & Machine-to-Machine (M2M) Communications
- Vehicular, Underwater, and Satellite Networks
- Cognitive Radio & Cooperative Communication
- Network Virtualization, Survivability, and Reliability
- Green Networks & Smart Grid
- Delay/Disruption Tolerant Networking (DTN)
- Contents/Information Centric Networking (CCN/ICN)
- Multi-Agent Systems & Swarm Intelligence
- Agent Models, Architectures, and Oriented Software Engineering
- Robotics and Autonomous Systems
Track 5: Applied AI & Domain-Specific Solutions
- Computer Vision, Image/Video Analysis & Object Recognition
- Autonomous Vehicles & Robotic Systems
- Conversational AI & Intelligent Tutoring Systems
- Smart Health, Bioinformatics, and Life Sciences
- Smart Education, E-Learning, and Educational Games
- AI in Finance, Economics, and Business Process Management
- Environmental Monitoring, Climate Science, and Smart Farming
- Augmented/Virtual Reality, Gaming, and Entertainment
- AI for Smart Cities, Industrie 4.0, and AI for Sustainable Development
- Social Network Analysis and Human-Computer Interaction
- Legal Technologies and Applied Mathematics for ML
