Qiben Yan
Associate Professor
Computer Science and EngineeringMichigan State University
Email: qyan AT msu DOT edu
Office: 3115 Engineering Building
Phone: +1(517)432-3529
Public Key
SEIT Lab - Secure and Intelligent Things Lab
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I am an Associate Professor in the Department of Computer Science and Engineering at Michigan State University, where I founded and direct the SEIT (Secure and Intelligent Things) Lab. I am a recipient of the NSF CISE Career Research Initiation Initiative (CRII) Award. I currently serve as Associate Editor, IEEE Transactions on Information Forensics and Security (TIFS). Prior to joining academia, I worked in a cybersecurity startup, Shape Security, in the silicon valley, where I participated in building the first “botwall” to hold back automated attacks at Internet scale. I received my Ph.D. in Computer Science from Virginia Tech, an M.S. and a B.S. degree in Electrical and Computer Engineering from Fudan University in Shanghai, China.
My primary research is centered around the topic of Physical AI technologies and system security. In particular, I am focused on both attacking and defending IoT/CPS/AI systems. I have always held the believe that: without security, technology loses its value; and without usability, security fails. Systems that ignore human interaction ultimately fail to secure what matters most: their users. I am always interested in problems that have potential real-world impact, and tries to bridge the gap between theory and practice. I have been awarded the Best Paper Honorable Mention Award in ACM CHI 2025, Best Paper Honorable Mention Award (Best Paper Runner-up) in ACM CCS 2022, Best Paper Award in IEEE SECON 2021 and Best Paper Award in ACM SenSys 2021. I have published papers in top-tier conferences such as CCS, NDSS, USENIX Security, MobiCom, SenSys, INFOCOM, etc. My research has been reported in various high-impact media outlets, including the BBC Radio, Scientific American, Science Daily, Forbes, Popular Mechanics, Gizmodo, The Register, etc. I am a Senior Member of the IEEE and a Member of the ACM.
IoT/CPS; Embodied AI; Autonomous Driving; Mobile; Wireless Systems
Trustworthy AI; Voice AI; AI Agent; Threat Intelligence; LLM Security; Privacy
Decentralized Economy; Smart Contract
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