Dr. Xusheng Xiao is leading the Reliable, Intelligent, Secure, and Efficient (RISE) Software and System lab at ASU. His general research interests span between software engineering and computer security, with the focus on developing advanced analysis techniques to analyze complex software behaviors for improving the reliability and the security of complex software and systems. Specifically, his lab is working on the research in mobile app analysis, cyber threat detection and investigation, blockchain and smart contract security, automated software testing, program analysis, and bug detection. His research in cyber threat investigation has been integrated into a security product in NEC, which won the Grand Prix award at CEATEC Award 2016. His research in mobile app security produced a static analysis technique that was deployed in Microsoft Research for two years and was granted a US patent. His collaboration with industry partners has resulted in 6 US patents.


I am always looking for PhD students and interns with strong background in SE, Security, or ML. Please apply to ASU SCAI by Dec. 31th (PhD only), and/or send me an email (with your CV). [Read more]


IEEE S&P’23, CCS’23, ASE’23, ICDCS’23, VARSE, ESEC/FSE’23 Industry

RISE Group Photo in May 2022


  • 11/2022: Congratulations to my collaborators! Our feature article “Machine learning: New ideas and tools in Environmental Science and Engineering” received the 2021 ES&T best paper award!
  • 9/2022: Congratulations to my collaborators and my student Fei Shao. Our paper “DISTDET: A Cost-Effective Distributed Cyber Threat Detection System” has been accepted in the USENIX Security 2023!
  • 8/2022: Congratulations to my collaborators. Our paper “What Did You Pack in My App? A Systematic Analysis of Commercial Android Packers” has been accepted in the ESEC/FSE 2022 Industry Track!
  • 7/2022: Congratulations to my students Liangyi Huang, Sohipa Hall, and Fei Shao! Our paper “System-Auditing, Data Analysis and Characteristics of Cyber Attacks for Big Data Systems” has been accepted in the demo track of CIKM 2022!
  • 5/2022: Congratulations to my collaborators! Our paper “Towards Automatically Localizing Function Errors in Mobile Apps with User Reviews” has been accepted in TSE 2022!
  • 1/2022: Congratulations to my collaborators! Our paper “Lie to Me: Abusing the Mobile Content Sharing Service for Fun and Profit” has been accepted in WWW 2022!
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Xusheng Xiao is an Associate Professor in the School of Computing and Augmented Intelligence at Arizona State University. He got his Ph.D. in June 2014 from the Department of Computer Science at North Carolina State University, under the supervision of Prof. Tao Xie and Prof. Laurie Williams. From Feb 2017 to August 2022, he was an Assistant Professor in the Department of Computer and Data Sciences at Case Western Reserve University (CWRU). From July 2014 to Feb 2017, he worked as a researcher in the system security group at NEC Labs America. He is a recipient of NSF CAREER Award, NSF CRII Award, Samsung GRO Award, and the 2021 Case School of Engineering Faculty Research Award at CWRU. His research has been supported by NSF, DOE-ARPA-E, and Samsung.