معرفی
Ruimin Sun is an Assistant Professor in the School of Computing and Information Science at Florida International University (FIU), where she joined in 2022. She previously served as a Postdoctoral Researcher at the Secure Systems Lab (seclab) at Northeastern University and earned her Ph.D. from the Florida Institute for Cybersecurity (FICS) at the University of Florida in 2019 under Dr. Daniela Oliveira.
Her research focuses on securing AI applications, embedded systems, industrial control systems, and improving software reliability. She leads projects funded by the National Science Foundation (NSF) and the Department of Homeland Security (DHS), including the ADMIRE Center and the Secure Machine Learning Inference in IoT-driven Analytical Scientific Infrastructure project.
- NSF CICI: Secure Machine Learning Inference in IoT-driven Analytical Scientific Infrastructure
- DHS: ADvanced education and research for Machine learning-driven critical Infrastructure REsilience (ADMIRE) Center
- NSF CITES: Trustworthy Lifecycle Modeling of CPS using Formal Methods
Her recent publications in top venues such as IEEE S&P, USENIX Security, and NDSS highlight trends in securing on-device machine learning, fuzz testing for embedded systems, and defending industrial control systems using adaptive AI and formal methods. Her work bridges theoretical rigor with practical deployment in critical infrastructure and mobile platforms.
She has received scientific recognition including the GREPSEC II Travel Award and Best Poster Awards at the Warren B. Nelms Annual IoT Conference. She also serves on the program committees of premier security conferences including USENIX Security, CCS, and EuroS&P, and has co-chaired the RICSS workshop.
Ruimin Sun actively advises students across all levels, from K-12 to Ph.D., fostering a diverse and talented research group. Her lab emphasizes hands-on cybersecurity education and innovation in secure AI and embedded systems.
