ASSIC 2026 technical tracks span original research in the field of smart enabled systems, secure computing and intelligent technologies for applications in all fields of science and technology.
Full Paper Submission
Mar 10 , 2026
Notification Of Acceptance
April 10 , 2026
Camera Ready Paper Submission
April 30 , 2026
The International Conference on Advancements in Smart, Secure and Intelligent Computing aims to attract high-quality, original research papers that go beyond incremental improvements to existing algorithms or routine applications of artificial intelligence and computing technologies. The conference particularly welcomes contributions that demonstrate conceptual depth, system-level thinking, and future relevance, addressing how intelligent computing can be designed to be adaptive, trustworthy, resilient, and impactful at scale. Unlike conventional conferences that focus primarily on isolated AI models, performance benchmarks, or narrow application use cases, this conference emphasizes holistic intelligent systems—where intelligence, security, trust, sustainability, and human-centric considerations are treated as core design principles rather than afterthoughts. Submissions are encouraged to explore new paradigms, architectures, frameworks, and methodologies that redefine how smart and secure computing systems are conceived, built, and deployed in real-world and future environments.
TRACK I:
Cognitive-Aware Intelligent Systems
- Cognitive computing and reasoning-driven AI
- Cognitive architectures for autonomous intelligence
- Incremental learning models
- Self-adaptive AI systems
- Meta-learning frameworks
- Context-aware intelligence
- Emotion-aware models
- Explainable and introspective AI
- Self-healing and fault-tolerant intelligent systems
- Dynamic knowledge graphs
- Collaborative intelligence
- Brain-inspired computing models
- Multi-modal and cross-domain intelligence
- Autonomous decision-making under uncertainty
- Ethical cognition intelligence
TRACK II:
Trust-Centric Secure Autonomous Systems
- Trust modeling in AI systems
- Secure autonomous agents
- Self-defending computing systems
- AI assurance techniques
- Secure federated learning
- Privacy-preserving analytics
- Decentralized access management
- Blockchain-enabled trust frameworks
- Secure edge and fog intelligence architectures
- Zero-trust architectures for intelligent systems
- AI-driven cyber defense
- Secure digital twins systems
- Governance and regulation-aware AI
- Forensic-ready systems
- Ethical AI system design
TRACK III:
Smart and Sustainable Computing for Societal Intelligence
- Green intelligent computing
- Sustainable cloud, edge, and IoT systems
- Smart computing for environmental monitoring
- Human-centric and inclusive intelligent systems
- AI for assistive technologies
- Smart cities and intelligent urban infrastructure
- Intelligent mobility systems
- AI-enabled disaster prediction and response
- Digital twins for societal and environmental systems
- Data-driven decision-making systems
- AI for learning analytics
- Smart agriculture and food security systems
- Socially aligned intelligent systems
- Sustainable industrial and manufacturing intelligence
- Ethics, fairness, and social impact of intelligent computing