Track 1: Intelligent Security and Privacy
- Artificial Intelligence for Cybersecurity
- Privacy-Preserving Artificial Intelligence
- Blockchain Security and Distributed Ledger Technologies
- Cloud Security and Zero Trust Architecture
- Cyber Threat Intelligence and Digital Forensics
- Post-Quantum Cryptography
- Privacy-Enhancing Technologies
- Trustworthy and Explainable AI
- Secure Multi-Cloud Computing
- AI for Risk Assessment and Security Analytics
Track 2: Generative AI, LLMOps and Intelligent Cloud Services
- Generative Artificial Intelligence
- Large Language Models (LLMs)
- Foundation Models
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- LLMOps and MLOps
- AI Agents and Autonomous Systems
- Cloud Computing and Cloud-Native AI
- Vector Databases
- Multimodal Artificial Intelligence
- AI-as-a-Service
- Intelligent Cloud Infrastructure
Track 3: Smart Agriculture with Agentic AI
- Precision Agriculture
- AI-Driven Soil Health Monitoring
- Intelligent Irrigation Systems
- Crop Yield Prediction
- Smart Farming Technologies
- Agricultural Robotics
- Climate-Resilient Agriculture
- Drone-Based Agriculture
- Remote Sensing Applications
- Sustainable Agricultural Systems
Track 4: Generative AI and Foundation Models for Intelligent Systems
- Foundation Models
- Generative AI Architectures
- Diffusion Models
- Agentic AI Frameworks
- Autonomous Decision-Making Systems
- Reinforcement Learning
- Federated Learning
- Explainable and Ethical AI
- Computer Vision
- Natural Language Interfaces
- Intelligent IoT Systems
Track 5: AI and Machine Learning Applications in Software Development
- AI-Assisted Software Engineering
- Intelligent Code Generation
- AI-Based Software Testing
- Machine Learning for Bug Detection
- Software Quality Assurance
- Intelligent Software Maintenance
- AI in Embedded Systems
- AI for Requirements Engineering
- AI-Driven DevOps
- Intelligent Decision Support Systems
Track 6: Mathematical Modelling, Scientific Computing and AI Applications
- Mathematical Modelling
- Scientific Computing
- Numerical Methods
- Artificial Intelligence and Machine Learning
- Data Science and Predictive Analytics
- High-Performance Computing
- Computational Intelligence
- Optimization Techniques
- Fuzzy Systems
- Computational Mathematics
- Intelligent Simulation
- AI Applications in Engineering and Science
Track 7: Next-Generation Cloud-AI Systems (Architectures, Intelligence, and Emerging Frontiers)
- AI-Native Cloud Architectures and Infrastructure
- Generative AI, LLMOps, and Intelligent Cloud Services
- Cloud Security, Ethics, and Governance Frameworks
- Edge Intelligence, IoT, and Cyber-Physical Cloud Systems
- Future Frontiers — Quantum, Neuromorphic, and Agentic Cloud-AI
- Cybersecurity, Intrusion Detection, and Blockchain Technologies
- Cloud Data Management, Analytics, and Intelligent Databases
- AI-Powered Healthcare, Bioinformatics, and Cloud-Enabled Life Sciences
Track 8: AI-Native Software Testing, Quality Engineering, and Intelligent Software Systems
- AI-Native Software Testing and Intelligent Quality Engineering
- Large Language Models (LLMs), Generative AI, and Agentic AI for Software Engineering
- Autonomous Test Automation, Self-Healing Testing, and Intelligent Validation
- DevSecOps, Secure Software Engineering, and Continuous Quality Assurance
- Digital Twins, Simulation-Driven Testing, and Cyber-Physical System Validation
- Trustworthy, Explainable, Ethical, and Responsible AI for Software Systems
- Cloud-Native, Edge, IoT, Distributed Systems, and Performance Testing
- AI-Driven Defect Prediction, Software Reliability, Industrial Case Studies, and Emerging Trends
Report of NIRF Data Capturing System: Management