• 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

• 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

• 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

• 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

• 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

• 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

• 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.

• 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.

• 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

• 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