Topics including but not limited to the following:
Track 1: AI Foundations, Machine Learning & Deep Learning
Focuses on the core algorithmic advancements and theoretical breakthroughs.
- Core Learning: Supervised, Unsupervised, Online, and Active Learning.
-Advanced Architectures: Deep Learning (Generative Models, Foundation Models, LLMs/VLM).
-Modern Paradigms: Federated & Self-Supervised Learning, Transfer Learning.
-Bio-Inspired AI: Neural Networks, Evolutionary Computing, Swarm Intelligence, and Neuromorphic Computing.
-Emerging Tech: Quantum Machine Learning (QML), Probabilistic Methods (Bayesian, Monte Carlo), and Optimization.
Track 2: Data Science, Big Data & High-Performance Computing
Focuses on massive data processing, knowledge discovery, and computational infrastructure.
-Analytics & Mining: Knowledge Discovery, Data & Process Mining, Predictive Modeling, and Forecasting.
Knowledge Engineering: Representation, Reasoning, and Data Visualization.
-Infrastructure: High-Performance Computing (HPC), Parallel Algorithms, Cloud and Scalable Computing.
-Edge Intelligence: Edge/Fog Computing, Wearable Computing, and MLOps.
-Time Series: Analysis and Inverse Problems.
Track 3: Cybersecurity, Trustworthy AI & Ethics
A critical pillar focusing on security, privacy, and the responsible deployment of AI.
- Trustworthy ML: Explainable AI (XAI), Interpretable AI, Fairness, Robustness, Privacy, and Safety.
-Cyber Defense: Intrusion Detection/Prevention, AI for Cybersecurity, and Cryptography (including Quantum Cryptology).
-Distributed Security: Blockchain Technologies, Secure and Privacy-Preserving ML.
-Identity & Access: Biometrics, Watermarking, Secure Transactions, and Identity in IoT.
-Societal Impact: Ethics, Policy, Legal Tech, and AI for Sustainable Development.
Track 4: Intelligent Systems, Robotics & Communications
Focuses on the intersection of AI, autonomous physical systems, and next-gen networking.
-Perception & Language: Computer Vision, Image/Video Analysis, NLP, and Conversational AI.
-Autonomous Systems: Robotics, Multi-Agent Systems (MAS), Autonomous Vehicles, and Drone Swarms.
-Next-Gen Networks: Wireless/Mobile Networks (5G/6G), IoT, and M2M Communications.
-Network Resilience: Virtualization, Survivability, Green Networks, and Smart Grids.
-Human-Centric AI: Human-Computer Interaction (HCI), Brain-Computer Interfaces (BCI), and Social Network Analysis.
Track 5: Applied AI & Domain-Specific Solutions
Focuses on vertical domain-specific applications and real-world impact.
-Industrial AI: Digital Twins, Industry 4.0, Logistics, Transport, and Smart Energy Systems.
-Health & Life Sciences: Smart Health, Bioinformatics, and Life Sciences.
-Society & Education: Smart Education, Intelligent Tutoring Systems, E-Learning, and Educational Games.
-Environment: Environmental Monitoring, Climate Science, Smart Farming, and Agriculture.
-Economy & Business: AI in Finance, Economics, Management, and Business Process Management.
-Immersive Tech: Augmented/Virtual Reality (AR/VR), Gaming, and Entertainment.
- Legal Technologies and Applied Mathematics for ML
