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About Muhammad
Dr. Muhammad Ikram is a Senior Lecturer in Cybersecurity at the School of Computing, Faculty of Science and Engineering, Macquarie University. He is a member of the Information Security and Privacy group and serves as Project Lead at the Macquarie Cybersecurity Hub. Previously, he was a joint postdoctoral research fellow at the University of Michigan and Macquarie University from September 2018 to October 2019, and a Research Scientist at Data61 CSIRO's Networks Research Group from September 2019 to October 2020. Ikram completed his PhD in Electrical Engineering and Telecommunications at the University of New South Wales in May 2018, with a thesis titled Design and analysis of secure and privacy preserving systems. He also holds a Master of Science in Information and Communication Engineering from Ajou University in February 2010, focusing on power efficient clustering for wireless multimedia sensor networks, and a Bachelor of Science in Computer Engineering from NWFP University of Engineering and Technology Peshawar in May 2007.
Ikram's research centers on data-driven analysis of privacy and security issues in mobile and web applications, leveraging machine learning algorithms to address security threats, privacy violations, and fraud in online services. He has published over 30 papers in top-tier venues including USENIX Security, NDSS, WWW, IMC, PETS, AsiaCCS, ACM Transactions on Privacy and Security, and The BMJ. Key publications include iOS, Your OS, Everybody's OS: Vetting and Analyzing Network Services of iOS Apps (USENIX Security, 2020), Mobile Health and Privacy: Cross Sectional Study (The BMJ, 2021), Decentralized Control: A Case Study of Russia (NDSS, 2020), and A Decade of Mal-Activity Reporting: A Retrospective Analysis of Internet Malicious Activity Blacklists (AsiaCCS, 2019, Best Paper Award). His accolades also encompass the Outstanding Paper Award at EAI Mobiquitous (2021) and a Best Paper Award (2013). Ikram serves on technical program committees for WWW and PETS, reviews for CCS and PETS, and organizes for PETS. He teaches courses such as Applications of Artificial Intelligence for Cyber Security and Advanced Systems and Network Security.
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