معرفی
Qiben Yan is an Associate Professor in the Department of Computer Science and Engineering at Michigan State University (MSU), leading the Secure and Intelligent Things (SEIT) Lab. He holds a Ph.D. from Virginia Tech and has prior experience as an Assistant Professor at the University of Nebraska-Lincoln and as a security researcher at Shape Security, where he contributed to the development of the pioneering 'botwall.' His research focuses on AI Security, Blockchain, IoT/Mobile Security, and Wireless Communication Security. He serves as an Associate Editor for IEEE Transactions on Information Forensics and Security (TIFS) and has been recognized with prestigious awards such as the NSF CRII Award (2016), ACM SenSys Best Paper Award (2021), and IEEE SECON Best Paper Award (2020).
- Educations:
- Ph.D. in Computer Science, Virginia Tech
His research interests span adversarial machine learning, AI-driven cybersecurity solutions, blockchain system integrity, and privacy-preserving technologies. Recent work includes frameworks for decentralized carbon footprint tracking, defenses against adversarial attacks in autonomous systems, and LLM customization for moving target defense. His research has been supported by NSF (CPS, SaTC, NeTS, SpecEES), DoE, Ford, and Cisco.
Awards:
- ACM CCS Best Paper Honorable Mention (2022)
- ACM SenSys Best Paper Award (2021)
- IEEE SECON Best Paper Award (2020)
- NSF CRII Award (2016)
- UNL Teaching Awards (2015, 2017)
Grants and Labs:
- Lead researcher at SEIT Lab
- Funding from NSF, DoE, Industry Partners (Ford, Cisco)
His lab explores cutting-edge topics like AI security, IoT privacy, and cyber-physical system defenses, with findings featured in BBC Radio, Scientific American, and Forbes.
