Call for papers

Topics of Interest:

CAISN 2024 invites researchers, academics, and industry professionals to submit their original, unpublished manuscripts for the inaugural International Conference on Artificial Intelligence, Security, and Networking. We seek high-quality papers in the following 10 tracks:

Track 1: AI Applications and Intelligent Systems:

  • Machine Learning and Deep Learning
  • Advances in supervised and unsupervised learning algorithms
  • Applications of reinforcement learning in real-world scenarios.
  • Transfer learning and domain adaptation techniques
  • Deep learning techniques for wireless networks
  • Image and video enhancement using deep learning.
  • Predictive maintenance and logistics optimization in transportation
  • Precision farming with AI and IoT integration
  • AI applications in personalized medicine and treatment plans.
  • NLP for Arabic and Low-resource Languages

Track 2: CyberSecurity and Privacy:

  • Intelligent systems for effective detection of cyber-attacks
  • Advanced Intelligent systems and data analytics
  • Malware detection using intelligent systems Vulnerability assessment
  • Network forensics using intelligent systems and data analytics
  • Data Analytics for privacy-by-design in smart health
  • Datasets, benchmarks, and open-source packages
  • Resource efficient deep learning
  • Adversarial Machine learning and Backdoor Attacks
  • Blockchain Systems for Cyber Security
  • Trustworthy AI Systems

Track 3: Computer Vision:

  • Video, Image and Signal processing
  • Fuzzy Pattern Recognition
  • Camera autocalibration
  • Image segmentation
  • 3D reconstruction and 3D mesh
  • Motion detection and tracking
  • Object detection and recognition
  • Virtual environment
  • Image and video indexing
  • Medical image and signal analysis

Track 4: Robotics and Autonomous Systems:

  • Smart manufacturing and Industry 4.0
  • Industrial IoT and Robotics Integration
  • Drones and Autonomous Systems
  • Safety and security in IoT-connected autonomous vehicles
  • Advanced Agricultural Robotics and IoT Solutions
  • Integrated Smart City Solutions
  • Home Automation and Assistive Robotics
  • Smart Grid Management with AI
  • Electricity Storage Solutions
  • Real-time Energy Efficiency Monitoring

Track 5: Mobile Wireless Networks:

  • Wireless Mobile Networks 
  • AI and ML for wireless communication systems
  • Smart global connectivity
  • Challenges and issues in designing AI-enabled wireless networks
  • Communication theory
  • Semantic Communication
  • Age and Value aware communication
  • Non-terrestrial networks
  • Hierarchical Aerial Networks
  • Optical Wireless Networks

Track 6: Modeling and Simulations:

  • Advances in the field of M&S for implementation purposes
  • Application of modeling formalisms into real world applications
  • Rigorous comparisons across M&S techniques
  • Model checking, formalism-based model debugging, model transformation
  • Model-driven and model-based approaches in M&S
  • Novel uses of M&S in real world applications
  • M&S of quantum information and quantum algorithms
  • Quantum simulators and quantum simulation of physical systems
  • Simulation, Data-Driven, and Generative Design
  • Modeling of Behavior
  • Augmented and Virtual Reality
  • Intelligent system & Lifecycle Management
  • System and Structural Performance Modeling

Track 7: Big Data and Analytics:

  • Leveraging big data for patient care and treatment optimization.
  • Predictive analytics for disease outbreak and prevention.
  • Stream processing technologies and frameworks (e.g., Apache Kafka, Flink)
  • Advanced visualization techniques for large datasets
  • Ensuring data privacy in big data environments.
  • Techniques for secure data sharing and collaboration
  • Sentiment analysis and opinion mining
  • Textual dialogue systems and chatbots
  • Large Language Models: Recent Advances and Applications.

Data governance frameworks and best practices.

Track 8: Cloud Computing and Virtualization:

  • Cloud Infrastructure and Architecture
  • Data encryption and secure data transfer in the cloud.
  • Identity and access management (IAM) in cloud platforms
  • Containerization and orchestration with Docker and Kubernetes
  • Cloud Service Models
  • Cloud Computing, Networking and Storage
  • Scalable data processing and storage in the cloud.
  • Real-time analytics and data streaming in cloud environments

Track 9: Transformative Educational Technologies in the Digital Age:

  • Artificial intelligence algorithms in education
  • Educational robotics
  • Intelligent virtual reality based learning systems
  • New Generations of Educational Technologies
  • E-learning, Blended Learning and Mobile learning
  • Smart learning environment
  • Artificial Intelligence and Open Learning
  • Human-Computer Interaction in Teaching System
  • Adaptive Learning Systems
  • Collaboration and Communication Software
  • Natural Language Processing (NLP) in Education
  • Predictive Analytics in Education

Track 10: IoT and Smart Cities:

  • Intelligent Vehicle Technologies and Vehicular Networks
  • Use Cases and Applications of the Internet of Things
  • Ultra-Low Power IoT Technologies and Embedded System Architectures
  • IoT and the Metaverse
  • IoT for Smart Cities
  • Autonomous Driving Technologies
  • Industry 5.0 and Its Implications
  • Communication Technologies for Robotics
  • Multihop Communications: Ad Hoc, Wireless Sensor Networks, Delay Tolerant Networks, and Vehicular Ad Hoc Networks
  • Machine-to-Machine and Machine-Type Communications
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