• Machine Learning Theory and Foundations
• Deep Learning Architectures and Methods
• SelfSupervised, Unsupervised, and Semi Supervised Learning
• Transfer Learning, Meta Learning, and Continual Learning
• Reinforcement Learning and Decision Making
• ProbabilisticModeling and Statistical Inference
• Optimization Methods for AI and ML
• Large Language Models (LLMs) and Foundation Models
• Multimodal Learning and Vision Language Models
• Generative AI for Text, Image, Audio, and Video
• RetrievalAugmented Generation (RAG) and Knowledge Enhanced Models
• Efficient AI: Model Compression, Distillation, and Acceleration
• Trustworthy, Robust, and Secure AI
• Adversarial Machine Learning and Model Hardening
• Explainable and Interpretable AI (XAI)
• AI Alignment, AI Safety, and Responsible AI
• Human AI Interaction and Human in the Loop Systems
• Neurosymbolic AI and Hybrid Intelligence
• Causal Inference and Causal Representation Learning
• Knowledge Graphs, Reasoning, and Automated Planning
• Program Synthesis, Code Intelligence, and AI for Software Security
• Federated Learning and Privacy Preserving AI
• Differential Privacy, Secure Multi Party Computation, and Homomorphic Encryption
• Cryptography, Cryptographic Protocols, and Post Quantum Security
• Authentication, Identification, and Access Control
• Key Management, Trust Models, and Reputation Systems
• Data Integrity, System Integrity, and Secure Data Management
• Intrusion Detection, Prevention, and Threat Intelligence
• Malware Analysis, Vulnerability Assessment, and Insider Threat Detection
• Security Engineering, Secure Software Development, and DevSecOps
• Security Requirements, Threat Modeling, and Risk Analysis
• Security Architecture, Design Patterns, and Deployment
• Network Security, Secure Connectivity, and QoS Aware Security
• Security in Distributed Systems, Cloud, Edge, and Fog Computing
• Security and Privacy in IoT and Cyber Physical Systems
• Security and Privacy in Mobile, Ubiquitous, and Web Based Systems
• Sensor Networks and Mobile Ad Hoc Network Security
• Blockchain Foundations, Consensus, and Scalability
• Blockchain Security, Privacy, and Attack Analysis
• Blockchain for IoT, Cloud, Identity, and Digital Forensics
• Smart Contracts, Decentralized Applications, and Secure Ledger Design
• Computational Intelligence for Security and Anomaly Detection
• Bio Inspired and Evolutionary Computation for Security
• Autonomous Agents and Multi Agent Security Systems
• Robotics, Embodied AI, and Autonomous System Security
• AI for Cyber Physical Infrastructure Protection
• AI for Healthcare, Bioinformatics, and Medical Security
• AI for Climate, Sustainability, and Critical Infrastructure
• Cybersecurity Governance, Regulation, and Trust Mechanisms
• Secure E Commerce, Digital Transactions, and Financial AI
• Experimental Security Testbeds, Benchmarks, and Real World Deployments

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on International Journal on Cybernetics & Informatics (IJCI) Proceedings.