Mulong Luo is a final-year Ph.D. candidate in the School of Electrical and Computer Engineering at Cornell University, advised by Prof. Edward Suh. He is broadly interested in architecture and cyber-physical systems security, and machine learning.
Cyber-physical systems (CPS) interact with both the physical world and the computing world, which makes them more vulnerable to security and safety issues compared to the traditional computer systems. Timing has to be considered in both worlds. In the physical world, any sensing and actuating events happen in realtime and have specific timestamps. In the computing world, computations ultimately are executed on hardware, and the timing variability in hardware causes security, privacy and safety risks to the systems. My research focuses on CPS computing hardware, exploiting the timing variability to steal information, to cause safety issues, and reducing it to provide better safety guarantee for CPS.