Conference Topics

The topics of the conference are divided into following main themes. Papers include 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: Trustworthy AI, Security, and Privacy

  • Robust and Trustworthy Machine Learning
  • Adversarial Machine Learning and Defenses
  • Privacy-Preserving and Federated Learning
  • Fairness, Bias Mitigation, and Model Interpretability
  • Secure AI Pipelines and Software Supply Chain Security
  • Model Monitoring, Incident Response, and AI Safety Engineering
  • Trusted Hardware, TEEs, and Secure Model Deployment
  • Network and Communication Protocol Security
  • Secure and Private Data Sharing for AI
  • Intrusion Detection and Threat Intelligence with AI
  • Explainable AI Dashboards and Human-in-the-Loop Assurance
  • Cryptography, Access Control, and Key Management for ML Systems
  • Risk Management, Governance, and Compliance for AI

Theme-3: Blockchain, IoT, and the Internet of Things

  • Advancements in Blockchain Technology for IoT Security
  • Integrating Blockchain with IoT for Supply Chain Transparency
  • Impact of IoT and Blockchain on Smart Cities Development
  • IoT Device Management and Security using Blockchain
  • Blockchain Solutions for IoT Data Privacy and Integrity
  • Use Cases of Blockchain and IoT in Healthcare
  • Energy Efficiency in IoT through Blockchain Innovations
  • Decentralized Applications (DApps) for IoT Ecosystems
  • Blockchain and IoT in Agricultural Technology and Food Safety
  • 5G Technology, IoT, and Blockchain: Opportunities and Challenges
  • Blockchain, IoT, and the Future of Smart Home Technologies
  • Regulatory and Ethical Considerations in Blockchain and IoT Integration

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