805 Columbus Ave
ATTN: Ruimin Sun, 635 ISEC
360 Huntington Avenue
Boston, MA 02115-5000
- Machine Learning
- Security and Privacy
- Software Engineering
- PhD, University of Florida
Ruimin Sun is a Postdoctoral Research Associate in the Khoury College of Computer Sciences, working with Dr. Long Lu. Ruimin’s research spans from malware detection, software reliability, and machine learning. She also works with information flow tracking and forensic analysis in IoT systems.
What are the specifics of your graduate education (thus far)?
So far I have been working with malware detection and software reliability, mostly involves building automated testbeds for large-scale malware experiments, monitoring runtime behaviors at the kernel level, and analyzing data with machine learning and deep learning models.
What are your research interests in a bit more detail? Is your current academic/research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why?
Recently, I’m interested in building a platform that can facilitate the development of individualized defense mechanisms for specialized IoT devices. I’m also interested in building interfaces that can enable various systems to well adapt to different state-of-the-art analytical learning models.
What’s one problem you’d like to solve with your research/work?
To make system security practical by finding the right balance between security and usability.
What aspect of what you do is most interesting/fascinating to you? What aspects of your research (findings, angles, problems you’re solving) might surprise others?
Building secure, intelligent and high-performance tiny IoT systems.
What are your research/career goals, going forward?
My career goal going forward is to build a strong team to fulfill my research goal.