Xiaohui Gu

Xiaohui (Helen) Gu is a Professor in the Department of Computer Science at North Carolina State University, where she leads cutting-edge research in computer systems. Her work bridges theoretical innovation with practical applications in cloud and distributed environments, maintaining active collaborations with industry leaders including IBM, Google, and Credit Suisse.

Education:

• Ph.D. in Computer Science, University of Illinois at Urbana-Champaign (2004)
• M.S. in Computer Science, University of Illinois at Urbana-Champaign (2001)
• B.S. in Computer Science, Peking University, China (1999)

Gu's research centers on autonomous system management through machine learning, with significant contributions to cloud infrastructure reliability. Her work addresses critical challenges in performance debugging, security vulnerability detection, and resource optimization across distributed systems. Current projects focus on self-supervised learning frameworks for container security and causal analysis techniques for microservice performance issues, demonstrating strong interdisciplinary connections between systems engineering and artificial intelligence.

Her publication trends reveal deep specialization in cloud-native system resilience, with recent work emphasizing ML-driven anomaly detection (2022-2024), container security (2019-2022), and blockchain privacy mechanisms (2019). The research consistently targets production-grade solutions for industry-scale problems, evidenced by patents licensed to Google and commercialization through her startup InsightFinder.

Key honors include:

• National Science Foundation CAREER Award (2011)
• Four IBM Faculty Awards (2008, 2010, 2011)
• Google Research Awards (2009, 2011)
• Best Paper Awards at ICDCS 2012 and CNSM 2010
• IBM Invention Achievement Awards (2004, 2006, 2007)

Gu actively mentors PhD students through her DANCE research group (Distributed system research on Autonomy, resilience, Collaboration, and Energy), with current projects funded by $2.3M+ in grants from NSF, ARO, and industry partners. Her sponsored research portfolio includes the NSF-funded CAREER project on virtualized infrastructure reliability and Cisco-sponsored work on machine learning for IT service assurance. She has served as associate editor for IEEE TPDS and program co-chair for major conferences including USENIX ICAC 2014.

Gu leads the DANCE research laboratory, which specializes in building resilient cloud systems through techniques like speculative anomaly diagnosis and self-evolving monitoring. The lab maintains strong industry ties, with technologies commercialized through InsightFinder and adopted by Google. Current initiatives focus on predictive management of multi-tenant cloud environments and hybrid computing models for energy-efficient data centers.