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Mohammad Mannan, PhD

Pronouns: He/Him

Thesis supervisor Seeking students

  • Professor, Concordia Institute for Information Systems Engineering

Thesis supervision details


Supervised programs: Information Systems Security (MASc), Information and Systems Engineering (PhD)

Research areas: Systems security, Privacy, Android/Mobile security, ML/AI, Large-scale Measurements, Authentication, Trusted computing, OS/Hypervisor security, Phishing

Contact information

Biography

Education

NSERC/ISSNet post-doctoral fellow (2009-2011), Electrical and Computer Engineering, University of Toronto, Canada

Ph.D. (2009) Computer Science, Carleton University, Canada

Research Interests

I am primarily interested in real-world systems security and privacy - how security systems miserably fail in reality, and how to design systems to survive against advanced attacks. Some topics of interest include: Android/iOS, IoT, CPS and hardware security; safety and security of AI/ML systems; anti-surveillance tools; authentication; privacy; usable security; ransomware, phishing, and financial security. 

Biography - summary

Mohammad Mannan is a Professor at the Concordia Institute for Information Systems Engineering, Concordia University, Montreal. He has a Ph.D. in Computer Science from Carleton University (2009, with Paul Van Oorschot) in the area of Internet authentication and usable security. He was a post-doctoral fellow at the University of Toronto from 2009 to 2011 (with David Lie). His research interests lie in the area of Internet and systems security, with a focus on solving high-impact security and privacy problems of today's Internet. He is an associate editor for the IEEE Security and Privacy magazine (from 2020), and was involved in several well-known conferences (e.g., program committee: ACM CCS 2019, 2016, USENIX Security 2018, 2022; program co-chair: ACM SPSM 2016), and journals (e.g., ACM TISSEC, IEEE TDSC, IEEE TIFS). His research is funded by: NSERC Discovery and Engage Grants, OPC Contributions Program, CIRA Community Investment Program, Mitacs Accelerate, and FRQNT. His industrial R&D experience prior to graduate school included three years in large-scale software design. His undergrad was from BUET, and he was fortunate to have his early research interests inspired by M. Kaykobad. His Mathematics Genealogy link can be found here.

Publications

Publication URL

https://users.encs.concordia.ca/~mmannan/pubs-year.html 
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