Faculty Directory
Yan Chen

Education

Ph.D. Computer Science, University of California, Berkeley, CA

M.S. Computer Science, State University of New York, Stony Brook, NY

B.E. Computer Engineering, Zhejiang University, P.R. China


Research Interests

My research interests are in security, measurement, and diagnosis for networking and large-scale distributed systems. I lead the Northwestern LIST (Lab for Internet and Security Technology). I won the DOE Early CAREER Award in 2005, the DOD (Air Force of Scientific Research) Young Investigator Award in 2007, and the Most Influential Paper Award of ACM ASPLOS in 2018. Based on Google Scholar (papers from different authors with the same names are removed), my papers have been cited about 16,000 times, and the h-index of my publications is 59 as of Dec. 2023. I am a Fellow of IEEE.


Selected Publications

  • Zeng, Qingyang; Kavousi, Mohammad; Luo, Yinhong; Jin, Ling; Chen, Yan, Full-stack vulnerability analysis of the cloud-native platform, Computers and Security (2023).
  • Yu, Se Young; Zeng, Qingyang; Chen, Jim; Chen, Yan; Mambretti, Joe, AIDTN, IEEE Transactions on Parallel and Distributed Systems (2023).
  • Jin, Ling; Cao, Yinzhi; Chen, Yan; Zhang, Di; Campanoni, Simone, ExGen, IEEE Transactions on Dependable and Secure Computing (2023).
  • Yang, Runqing; Chen, Xutong; Xu, Haitao; Cheng, Yueqiang; Xiong, Chunlin; Ruan, Linqi; Kavousi, Mohammad; Li, Zhenyuan; Xu, Liheng; Chen, Yan, RATScope, IEEE Transactions on Dependable and Secure Computing (2022).
  • Xiong, Chunlin; Zhu, Tiantian; Dong, Weihao; Ruan, Linqi; Yang, Runqing; Cheng, Yueqiang; Chen, Yan; Cheng, Shuai; Chen, Xutong, Conan, IEEE Transactions on Dependable and Secure Computing (2022).
  • Hou, Kaiyu; Lin, Sen; Chen, Yan; Yegneswaran, Vinod, QFaaS, Association for Computing Machinery, Inc (2022).
  • Du, Xuechao; Chen, Andong; He, Boyuan; Chen, Hao; Zhang, Fan; Chen, Yan, AFLIoT, Computers and Security (2022).
  • Xiong, Chunlin; Li, Zhenyuan; Chen, Yan; Zhu, Tiantian; Wang, Jian; Yang, Hai; Ruan, Wei, 通用、 有效且轻量的PowerShell解混淆和语义敏感的攻击检测方法, Frontiers of Information Technology and Electronic Engineering (2022).