Mohammad Mannan

Mohammad Mannan is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on systems security, privacy, mobile security, machine learning applications in security, authentication mechanisms, and trusted computing. He actively supervises students in Information Systems Security (MASc) and Information and Systems Engineering (PhD) programs.

Dr. Mannan's work emphasizes real-world security challenges, including vulnerabilities in IoT platforms, privacy issues in mobile apps and websites, and cryptographic protocol weaknesses. He has contributed to developing tools like WARNE for stalkerware detection and LURK-T for TLS delegation improvements. His research bridges theoretical security concepts with practical implementations, addressing threats such as ransomware, phishing, and privacy violations in digital ecosystems.

Key areas of exploration include analyzing JavaScript vulnerabilities in real-world applications, evaluating privacy policies of AI chatbots, and mitigating risks in super-apps like WeChat. His publications often highlight the intersection of security and privacy, with a focus on measurable solutions for emerging technologies like smart devices and enterprise security software.

Despite no explicitly listed awards or grants, his extensive publication record demonstrates sustained contributions to cybersecurity and privacy research. His advising role reflects a commitment to training the next generation of security professionals in addressing complex modern threats.