Organizer: Dr. Qasem Abu Al-Haija, Associate Professor and Head, Department of Cyber Security Faculty of Computer and Information Technology Jordan University of Science and Technology (JUST), Irbid, Jordan
Email: qsabuhaija@just.edu.jo
The rapid convergence of artificial intelligence (AI), the Internet of Things (IoT), cyber-physical systems (CPS), and critical infrastructures has introduced increasingly complex security challenges that demand advanced mathematical and computational solutions. This symposium aims to provide an interdisciplinary forum for researchers and practitioners to present recent advances in numerical analysis, optimization, machine learning, computational intelligence, and mathematical modeling for secure and resilient digital systems.
The symposium welcomes original contributions addressing theoretical developments, numerical algorithms, simulation studies, and real-world applications related to cybersecurity, AI-driven intrusion detection, federated learning, adversarial machine learning, blockchain technologies, digital twins, privacy- reserving computing, trustworthy AI, optimization methods, and intelligent decision-support systems for IoT, CPS, smart cities, healthcare, transportation, energy, and other critical infrastructure domains.
TOPICS OF INTEREST (INCLUDE BUT ARE NOT LIMITED TO)
- Mathematical Modeling for Cybersecurity
- Numerical Methods for Secure AI Systems
- Optimization Algorithms for Network Security
- Artificial Intelligence and Machine Learning in Cybersecurity
- Federated Learning and Privacy-Preserving Intelligence
- Adversarial Machine Learning
- Cyber-Physical Systems Security
- Internet of Things (IoT) and Industrial IoT Security
- Digital Twins for Secure Critical Infrastructure
- Blockchain and Distributed Trust
- Explainable and Trustworthy AI
- Computational Intelligence for Threat Detection
- Secure Smart Cities and Intelligent Transportation
- Healthcare and Medical Cybersecurity
- Resilient Critical Infrastructure Protection