Ping Ji

Ping Ji is a Full Professor and Chair of the Department of Computer Science within the School of Arts and Sciences at the City University of New York (CUNY), with dual appointments at Hunter College and John Jay College of Criminal Justice. She serves as Executive Officer of the Computer Science PhD Program and former Director of the Master's Program in Data Science at the CUNY Graduate Center (2018-2025).

Educational background:

• PhD in Computer Science, University of Massachusetts Amherst (Advised by Jim Kurose and Don Towsley)
• MS in Computer Science, University of Massachusetts Amherst
• BA in Computer Science and Technology, Tsinghua University

Her research spans network measurement and data analysis, security monitoring for computer and wireless networks, and Internet of Things (IoT), with significant contributions to mobile network security and underwater acoustic communications. She founded John Jay College's Master's Program in Digital Forensics and Cybersecurity and the Graduate Center's Master's Program in Data Science.

Analysis of her publication trends reveals a strategic evolution from foundational network security work toward AI-integrated systems for censorship detection, ethical security frameworks for small businesses, and transformative educational ecosystems. Her recent work increasingly incorporates large language models and multi-modal sensor analysis while maintaining core expertise in network measurement.

Scientific recognition:

• Google Award ($3M) for CyberNYC Institutional Research
• Multiple NSF grants totaling over $2.1M including CCRI, I-Corps, and SFS programs
• Leadership in national cybersecurity workforce development initiatives

Dr. Ji has secured over $3 million in research funding while advising numerous PhD students through the NeMo (Networks & Mobile Systems) Lab. Her grant portfolio demonstrates sustained success in translating theoretical research into practical applications for security monitoring, digital forensics, and educational technology. Current projects include AI-enabled censorship detection systems and ethical security frameworks tailored for resource-constrained small businesses.

The NeMo Lab under her direction conducts cutting-edge research in wireless network measurement, mobile security, and IoT applications, with recent expansions into underwater acoustic communications and AI-driven educational transformation through the AeDA (AI-Enabled Attainable Education for All) initiative.