Rate My Professor Kangjie Lu

Lu's research specializes in systems security at the intersection of security, software engineering, operating systems, compilers, artificial intelligence, and security ethics. His key areas include operating systems and secure runtime environments, cloud and virtualization security, software analysis and open-source security, AI-assisted code understanding and vulnerability detection, and ethical security practices. His techniques have driven critical security enhancements in systems such as the Linux kernel, Android OS, Apple iOS, Kubernetes, and cloud platforms, with tools adopted by Linux, IBM, and Google. He has published over 60 peer-reviewed papers in top venues including ACM CCS, USENIX Security, NDSS, and IEEE S&P, with highly cited works like 'ASLR-Guard: Stopping Address Space Leakage for Code Reuse Attacks' (CCS 2015, 222 citations), 'Where Does It Go? Refining Indirect-Call Targets with Multi-Layer Type Analysis' (CCS 2019, 203 citations, Best Paper Award), and 'UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers' (USENIX Security 2021, 199 citations). Notable awards include the NSF CAREER Award (2021), Distinguished Paper Awards at ACSAC 2022 and ESORICS 2024. Lu teaches courses including CSCI 5271: Introduction to Computer Security and CSCI 4061: Introduction to Operating Systems, chairs workshops on security ethics, and serves on program committees for conferences such as ACM CCS and NDSS.