Zhengping Jay Luoمشاهده پروفایل
استادیار
Zhengping Jay Luo serves as Assistant Professor II in Rider University's Department of Computer Science and Physics, specializing in cybersecurity and computer science with research spanning machine learning security, network defenses, and quantum computing applications. Education: Ph.D. Systems and Security, University of South Florida, Tampa, Florida, United States M.S. Computer Application Technology, Jinan University, Guangzhou, China B.S. Computer Science and Technology, Hebei University of Science and Technology, Shijiazhuang, China His research centers on three interconnected pillars: securing machine learning systems within IoT and communication infrastructures, developing advanced network security protocols, and exploring quantum computing's security implications—particularly in quantum machine learning frameworks. This work addresses critical vulnerabilities in AI-driven systems while pioneering defense mechanisms against next-generation threats. Analysis of his 15 most recent publications (2025-2017) reveals a consistent trajectory toward securing emerging technologies, with 2025-2023 works dominating publications on AI security (SpeechGPT jailbreaks), quantum machine learning, and UAV network defenses. His research bridges theoretical innovation with practical implementations across wireless communications, cryptography, and adversarial machine learning. Scientific Awards: None documented in provided materials. Professor Luo actively mentors Rider students through CYB/CSC 490 Independent Research projects and advises both the ACM Club and Asian American Students Association. His professional service includes NSF Panelist roles (2024-2025), CCSC Eastern conference committee membership, Mercer County Science Fair judging, and NJCCIC affiliation, though specific research grants remain unlisted. He maintains active engagement with the cybersecurity community through invited talks at international conferences and summer tournaments, focusing on quantum computing mathematics and RSA algorithm fundamentals for diverse audiences.








