Call for Papers

We welcome theoretical insights, algorithmic innovations, applied research, and case studies across a broad spectrum of intelligent systems.

Conference Topics

1. AI in Cybersecurity

  • AI for Cybersecurity in Critical Infrastructure
  • AI-Driven Threat Detection and Response
  • Generative AI for Offensive and Defensive Cybersecurity
  • Deep Learning in Malware Analysis
  • AI in Quantum-Resistant Cryptography
  • AI for Securing IoT and Edge Devices
  • AI for Securing Smart Cities and Urban Infrastructure

2. AI in Physical Sciences and Medicine

  • AI for Climate Modelling and Earth Observation
  • Machine Learning for Quantum Systems and Experimental Physics
  • Robotics and Automation in Scientific Research
  • Deep Learning in Medical Imaging and Diagnostics
  • AI for Genomics and Precision Medicine
  • Intelligent Drug Discovery and Molecular Design
  • Clinical Decision Support Systems

3. AI in Social Sciences and Society

  • Computational Social Science and Behavioural Modelling
  • AI for Policy Analysis and Decision-Making
  • Predictive Analytics in Economics, Law, and Education
  • Sentiment Analysis and Opinion Mining in Social Media
  • Agent-Based Modelling for Social Simulations
  • Bias, Fairness, and Transparency in Sociotechnical Systems
  • Human-Centred AI and Ethical Implications in Social Contexts
  • AI for Social Good: Crisis Response, Poverty Reduction, and Education Access

4. Core Methods and Theoretical Foundations

  • Logic and Reasoning for Intelligent Systems
  • Formal Verification and Safety of AI Systems
  • Hybrid and Nature-Inspired Architectures
  • Deep Learning, Reinforcement Learning, and Self-Adaptive Systems
  • Planning, Scheduling, and Autonomous Reasoning
  • Multi-Agent and Distributed Intelligent Systems
  • Ontologies, Knowledge Representation, and Semantic Technologies

5. Intelligent Systems in Practice

  • Smart Devices, Wearables, and Embedded AI
  • Sensor Networks in Health, Science, and Urban Monitoring
  • Big Data Analytics in Cross-Disciplinary Research
  • AI and the Internet of Things (IoT)
  • Natural Language Interfaces for Inclusive Technology
  • Intelligent Solutions for People with Special Needs
  • Ethical, Legal, and Societal Impacts of AI Integration