Rate My Professor Siqi Ma

Siqi Ma is a Senior Lecturer in the School of Systems & Computing at UNSW Canberra, University of New South Wales, and a key member of the UNSW Institute for Cyber Security (IFCYBER). She also serves as the postgraduate program coordinator of Cyber Security Operations. Before joining UNSW, she was a Lecturer in the School of Information Technology and Electrical Engineering at the University of Queensland. Ma received her PhD degree from the School of Information Systems at Singapore Management University in 2018, subsequently undertaking a postdoctoral research fellowship at Data61, CSIRO, and visiting Carnegie Mellon University in 2015. Her primary research specializations include cyber security areas such as vulnerability detection and repair, authentication flaw detection, privacy-preserving mechanisms, and secure systems in Android apps, IoT, and mobile crowdsensing. Ma contributes to the academic community as a program committee member for conferences including ASE, WWW, ASIACCS, and a reviewer for journals such as TIFS and TSE. In 2025, she was awarded a prestigious ARC Future Fellowship valued at $1,131,588 for the project titled ‘Advanced Protection Techniques for Secure Code Reuse’, which develops countermeasures against vulnerabilities in reused code to foster secure software development practices.

Ma's scholarly impact is evidenced by her publications in leading venues. Key works include "Hotpatching on the Fly - Mitigating Drone Incidents Arising From Incorrect Configuration" (IEEE TDSC, 2025), "Real-time Rectifying Flight Control Misconfiguration Using Intelligent Agent" (ACM TOSEM, 2025), "Goshawk: Hunting Memory Corruptions via Structure-Aware and Object-Centric Memory Operation Synopsis" (IEEE S&P, 2022), "Medusa Attack: Exploring Security Hazards of In-App QR Code Scanning" (USENIX Security, 2023), "VuRLE: Automatic Vulnerability Detection and Repair by Learning from Examples" (ESORICS, 2017), and "Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis" (NDSS, 2025). These contributions have advanced automated security analysis tools, influencing developer practices in mitigating software vulnerabilities.