Our research focuses on building resilient AI models that safeguard digital assets, automate threat analysis, and adapt to evolving attack patterns. We develop secure, trustworthy AI systems to defend against adversarial attacks and ensure robust, privacy-preserving learning across distributed environments.
Harnessing AI to automate cyber threat detection, analyze malware, and predict emerging risks. Our research delivers intelligent defense systems for real-time monitoring, anomaly detection, and proactive threat intelligence.
Securing next-generation infrastructures with AI-driven privacy and protection. We develop frameworks for IoT, 5G, healthcare, and energy systems to ensure data integrity, resilience, and regulatory compliance.
Exploring quantum-resistant cryptography, generative AI security, and ethical frameworks. Our research shapes the future of secure, responsible AI through policy, standards, and advanced technologies.
Advancing explainable, fair, and transparent AI systems. We prioritize human-centered design, bias mitigation, and collaborative frameworks for trustworthy technology.
CAIRLab is dedicated to advancing cybersecurity and artificial intelligence research for a safer digital future. We foster innovation, ethical AI, and impactful solutions for real-world challenges.
Years of Research Excellence
Active Research Projects
Expert Team Members
Awards & Recognitions
A multidisciplinary team of experts pushing the boundaries of AI and cybersecurity research
PI
Cybersecurity & Machine Learning
Leading CAIRLab's strategic vision with expertise in adversarial machine learning and secure AI systems.
Co-PI
IoT, Network and Application Security, Blockchain Technology, Applied AI, Applied Cryptography, Reverse Engineering, Quantum Computing and Information Sciences
Specializing in AI-powered threat detection and cybersecurity frameworks for critical infrastructure.
Researcher
Machine Learning & Cybersecurity, PhD candidate
Building robust and secure AI systems with focus on deployment and real-world applications.
Security Researcher
Cybersecurity in Federated Learning, Blockchain, MPhil Candidate
Focusing on explainable AI and privacy-preserving machine learning techniques.
Researcher
Cybersecurity & Machine Learning, PhD candidate
Researching robust defenses against adversarial attacks on deep learning models.
Private Consultant
Cybersecurity & Machine Learning
Specializing in data analysis, visualization, and building data pipelines for AI research.
Researcher
Application Security & Machine Learning, MPhil
Working on NLP applications for cybersecurity threat detection and analysis.
Researcher
AI Security, AI Engineering & Machine Learning, MPhil Candidate
Developing secure systems and conducting penetration testing for AI infrastructure.
We're always looking for talented researchers, developers, and students passionate about AI and cybersecurity.
Get Involved!