Xusheng Xiao

Xusheng Xiao is an Associate Professor in the School of Computing and Augmented Intelligence at Arizona State University, where he leads the Reliable, Intelligent, Secure, and Efficient (RISE) Software and System lab. Previously, he was an Assistant Professor at Case Western Reserve University (2017-2022) and a researcher at NEC Labs America (2014-2017). He received his Ph.D. in Computer Science from North Carolina State University in 2014 under the supervision of Prof. Tao Xie and Prof. Laurie Williams.

Dr. Xiao's research spans software engineering and computer security, with emphasis on AI-enhanced software analysis approaches that combine software analysis and artificial intelligence to improve software reliability and security. His lab focuses on Large Language Model enhanced software analysis, mobile app analysis, cyber threat detection and investigation, blockchain/smart contract security, and software testing and debugging. His work has resulted in significant industry impact, including research integrated into NEC's security product (which won the Grand Prix award at CEATEC 2016) and a static analysis technique deployed at Microsoft Research that was granted a US patent.

His recent publications reveal a strong trend toward applying Large Language Models to security challenges, with numerous papers on LLM-powered security analysis, mobile app security, and blockchain security. His work demonstrates a consistent focus on practical security solutions that address real-world threats while advancing theoretical foundations in program analysis.

• NSF CAREER Award
• NSF CRII Award
• Samsung GRO Award
• 2021 Case School of Engineering Faculty Research Award
• Grand Prix award at CEATEC Award 2016
• Multiple US patents from industry collaborations

Dr. Xiao has secured significant research funding from NSF, DOE-ARPA-E, and Samsung, and recently received API credits from the OpenAI Cybersecurity Grant Program and a grant from TensorBlock for collaboration on Forge. He actively mentors PhD students and has numerous advisees including Zichen Liu, Shang Ma, Liangyi Huang, Pengcheng Fang, and Fei Shao who have co-authored multiple publications with him.

His RISE lab represents a comprehensive research ecosystem focused on developing advanced analysis techniques to analyze complex software behaviors for improving software reliability and security. The lab's work spans multiple security domains with particular emphasis on applying cutting-edge AI techniques to traditional security challenges.