AI Innovations for a Better Tomorrow
Zayed University Convention Center, Dubai, UAE
September 24th and 25th, 2025
This workshop invites researchers, practitioners, and industry experts to submit original contributions that explore the intersection of artificial intelligence (AI) and cybersecurity within simulated environments. This workshop aims to foster a dynamic exchange of innovative ideas, cutting-edge research, and practical applications that address the evolving challenges and opportunities in securing AI-driven simulated systems.
We welcome papers that delve into topics such as AI-enhanced threat detection, secure simulation models, adversarial machine learning, cyber-physical system security, and the development of resilient AI algorithms. Contributions focusing on real-world case studies, novel frameworks, emerging technologies like blockchain and quantum security in AI simulations, as well as ethical and privacy considerations in AI-powered systems are highly encouraged.
This workshop offers a unique platform for academic researchers, cybersecurity professionals, AI developers, and policymakers to engage in meaningful discussions, share their findings, and collaborate on advancing the security of simulated systems in an increasingly AI-driven world. Accepted papers will be presented during the workshop sessions, providing an opportunity for authors to receive valuable feedback and network with leading experts in the field.
Notification of Acceptance: July 30, 2025
Camera Ready Paper: Aug 15, 2025
Online Early Registration: June 5, 2025
Online Late Registration: Sep 15, 2025
Onsite Registration: Sep 24-25, 2025
We invite submissions that explore AI-powered XR systems for training and simulation in the domain of security, including (but not limited to) the following topics:
- Integration of AI with augmented reality (AR), virtual reality (VR), and mixed reality (MR) for immersive training
- Applications of AI-powered XR in critical sectors (e.g., healthcare, defense, aviation, manufacturing, education)
- Ethical and security considerations in AI-enhanced XR training simulations
- AI-driven analysis of user engagement, learning outcomes, and data from XR systems
- Tools, frameworks, and platforms for building AI-enhanced XR training applications
- Immersive simulations and virtual labs.
- Adversarial Machine Learning in Simulated Cybersecurity Environments
- AI-Driven Threat Detection and Response in Virtualized Systems
- Designing Secure AI Algorithms for Real-Time Simulation Platforms
- Integrating Blockchain for Enhanced Security in AI Simulations
- Resilient AI Models Against Data Poisoning and Evasion Attacks
- Simulation-Based Testing of AI-Powered Intrusion Detection Systems (IDS)
- Privacy-Preserving Techniques in AI-Driven Secure Simulations
- The Role of Explainable AI (XAI) in Secure Simulated Environments
- Automated Vulnerability Assessment Using AI in Virtual Labs
- Cyber-Physical System Security with AI-Supported Simulated Scenarios
- Developing Robust AI Defense Mechanisms Against Deepfake Simulations
- AI-Augmented Penetration Testing: Simulating Realistic Attack Scenarios
- Ethical Considerations in AI-Enabled Security Simulations
- Securing Autonomous Systems with AI-Enhanced Simulated Models
- Quantum Computing Threats and AI-Driven Security Countermeasures in Simulations
Georgios Tsaramirsis
University of Wollongong Dubai (UAE)
Richard Ikuesan
Zayed University (UAE)
Fazal Qudus Khan
University of Swat (Pakistan)
Farkhund Iqbal
Zayed University (UAE)
Mohd Saqib
McGill University (Canada)
Patrick Hung
Ontario Tech University (Canada)
Fatma Taher
Zayed University (UAE)
Mohammad Tubishat
Zayed University (UAE)
Sarah Kohail
Zayed University (UAE)
Asad Khattak
Zayed University (UAE)
Feras Al-Obeidat
Zayed University (UAE)
The program will be announced with the BCCA2024 program at:
For venue and accommodation information, please visit:
For registration information, please visit:
For the camera-ready submission and other IEEE information, please visit:
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