Chenglong Fu

Chenglong Fu is an Assistant Professor in the Department of Software and Information Systems at the University of North Carolina at Charlotte. He earned his Ph.D. in Computer and Information Sciences from Temple University (2022) and a BEng in Information Security from the University of Science and Technology of China (2015). His research focuses on security and privacy for Internet of Things (IoT) and Cyber-Physical Systems (CPS), with special emphasis on AI/ML-driven security solutions, anomaly detection, and vulnerability discovery.

• Ph.D., Computer and Information Sciences, Temple University (2016-2022)
• BEng, Information Security, University of Science and Technology of China (2011-2015)

Research Interests:

• Security and privacy in IoT and CPS environments
• Anomaly detection using semantic pattern analysis
• Vulnerability discovery through formal verification and fuzzing
• AI/ML applications for real-time threat mitigation
• Smart Home Systems (SHS) security
• Industrial Control Systems (ICS) protection

Recent Research Trends: His 2024 publications demonstrate focus on large language models for security auditing, few-sample anomaly detection, cross-platform IoT delegation vulnerabilities, and cloud-based IoT attack vectors. These works combine formal verification, empirical analysis, and AI techniques.

Scientific Awards:

• Scott Hibbs Future of Computing Award (2021)
• Outstanding Undergraduate Scholarship (2014)
• Seagate Scholarship (2013)
• Outstanding College Graduate (2015)

Teaching: Instructed Secure Programming, Penetration Testing, and OS/Neworks courses at UNC Charlotte (2023-present) and Temple University (2017-2020).