Conference Topics
The topics of the conference are divided into the following main themes. Papers including but not limited to the following topics are invited for submission.
Theme-1: Applied Artificial Intelligence Applications
- Deep Learning, Multimodal AI, and Generative Models
- Computer Vision, Object Detection, and Recognition
- Pattern Recognition, Classification, and Clustering
- Time-Series Forecasting and Decision Support Systems
- Natural Language Processing and Text Analytics
- Reinforcement Learning for Planning and Control
- Data Mining, Knowledge Discovery, and Optimization
- AI for Medical Imaging, Diagnosis, and Biomedical Signals
- Audio, Speech Processing, and Multisensory Interfaces
- AI for Industry 4.0, IoT, and Edge Intelligence
- AI for Cloud, Grid, and 5G/6G-Enabled Services
- AI for Bioinformatics and Computational Healthcare
Theme-2: Optimization, Intelligent Computing, and Decision Systems
- Nonlinear, Continuous, and Discrete Optimization
- Combinatorial Optimization and Metaheuristic Algorithms
- Multi-Objective and Many-Objective Optimization
- Stochastic, Robust, and Bayesian Optimization
- Evolutionary Computation and Swarm Intelligence
- Optimization for Machine Learning and Artificial Intelligence
- Optimization in Deep Learning, Neural Networks, and Generative AI
- Reinforcement Learning, Planning, and Optimal Control
- Quantum-Inspired Optimization and Quantum Computing Applications
- Optimization for Engineering Design, Scheduling, and Resource Allocation
- Decision Support Systems, Operations Research, and Applied Optimization
- Optimization Applications in Healthcare, Energy, Economics, Transportation, and Smart Systems
Theme-3: Trustworthy, Secure, and Connected Intelligent Systems
- Trustworthy, Robust, and Explainable Artificial Intelligence
- Adversarial Machine Learning and AI Security
- Privacy-Preserving, Federated, and Secure Machine Learning
- Fairness, Bias Mitigation, Governance, and Responsible AI
- Secure AI Pipelines, Model Monitoring, and AI Safety Engineering
- Cryptography, Access Control, and Secure Data Sharing for AI Systems
- Network, Communication, and Cyber-Physical System Security
- Intrusion Detection, Threat Intelligence, and AI for Cybersecurity
- Blockchain, Distributed Ledger Technologies, and Decentralized Applications
- Blockchain for IoT Security, Data Integrity, and Privacy
- Internet of Things, Edge Intelligence, and Smart Connected Devices
- Blockchain, IoT, and 5G/6G Applications in Smart Cities, Healthcare, Agriculture, Industry, and Supply Chains
Theme-4: AI-Driven Engineering Systems and Smart Infrastructure
- AI for Smart Grids, Energy Management, and Resilience
- Renewable Integration and Forecasting with ML
- AI for Transportation, Mobility, and Autonomous Systems
- Digital Twins and Predictive Maintenance for Industrial Assets
- Robotics, Automation, and Human–Robot Collaboration
- AI in Civil and Structural Health Monitoring
- AI for Manufacturing, Supply Chains, and Quality Control
- Edge AI and Industrial IoT for Smart Infrastructure
- AI-Assisted Environmental Monitoring and Sustainability
- Cyber-Physical Systems Security and Safety
- AI for Smart Buildings, HVAC, and Urban Infrastructure
- AI-Enhanced Materials, Design, and Additive Manufacturing