Long Cheng

Long Cheng is an Associate Professor at Clemson University's School of Computing, specializing in cybersecurity, IoT security, and machine learning for abuse detection. His work focuses on securing voice assistants, CPS/IoT systems, and network protocols. He holds dual PhDs from Virginia Tech (2018) and Beijing University of Posts and Telecommunications (2012), with postdoctoral research at Singapore University of Technology and Design (2015) and A*STAR (2012–2015).

• Research Interests: Online abuse detection, system/software security, network security, CPS/IoT privacy, mobile computing.
• Awards: NSF CAREER Award, Best Paper at AsiaCCS 2022, Distinguished Paper at ACSAC 2020.
• Grants: NSF grants (RAPID, SaTC-EDU), industry funding from Innova EV, USDOT, and Google.
• Service: Editorial boards of IEEE TDSC and ACM DTRAP; program chairs/co-chairs for SmartSP 2025, SecDev 2021–2023.

Labs & Teams: AI-Cybersecurity Lab, leading research on abuse detection and CPS security. Collaborates with industry partners like Apple, Amazon, and Texas Tech University.