Kean University · Union, New Jersey
Kean CS Lab
Kean University
The research laboratory of the Department of Computer Science and Technology. Faculty and doctoral students work in artificial intelligence, cybersecurity, data science, and allied computing systems. Founding Ph.D. cohort: Fall 2026.
The Laboratory
Doctoral research in the Department of Computer Science and Technology.
Department of Computer Science and Technology is housed in the Dorothy and George Hennings College of Science, Mathematics and Technology. The public Ph.D. page names three high-impact domains — artificial intelligence, cybersecurity, and data science — and a research-centered curriculum built around an original dissertation.
This site publishes the laboratory’s research areas, faculty as listed on the public directory, and selected papers. It does not speak for Graduate Admissions and does not invent handbook language. Official eligibility, assistantships, and the application live on kean.edu.
Program coordinator: Daehan Kwak, Ph.D. · dkwak@kean.edu
Research
Research areas
01
Trustworthy & Human-Centered AI
Models people can inspect, contest, and live with.
02
Vision, Imaging & Health AI
Seeing systems that hold up in the clinic and the wild.
03
Security, Privacy & Trust Architectures
Zero trust, sensing, and the right to be unobserved.
04
Intelligent Systems, IoT & Immersive Networks
Cyber-physical stacks from the radio to the headset.
05
Data, Language & Knowledge Systems
From tokens and tables to ontologies that mean something.
06
HCI, XR & Computing Education
Interfaces, inclusion, and the next generation of researchers.
Publications
Selected publications
2025
A Comprehensive Review of Microexpression Recognition, Classification, and DatasetsP. Malik, J. Singh, F. Ali, and D. Kwak
2025
A Privacy Preserving Optimized Intelligent Security Framework for Smart Homes Using Zero Trust Architecture and ExplainabilityA. Gupta, S. Gupta, S. Sharma, J. Singh, F. Ali, and D. Kwak
2025
“fast, easy, simple”? SES-diverse transfer students’ sociotechnical experiences registering for classesA. Busteed, J. Noa-Guevara, L. A. Castro, D. Moz Ruiz, S. Afroz, I. Mokraoui, P. Velhal, P. Morreale, A. Sarma, and M. Burnett
2025
Collaborative Intelligence: Orchestrating Ultra-Low Latency XR Experiences in 6G Consumer NetworksS. D. A. Shah, F. Ali, A. A. Alzubi, and D. Kwak
2024
Web-based Course Assessment System of Student Learning Outcomes: A Pilot StudyD. Ojeda, P. Morreale, and D. Kwak
Ph.D. Program
Founding doctoral cohort, Fall 2026
Applications open in Fall 2025 for enrollment in Fall 2026. Fall deadline January 15. Assistantship details are published by the university. Confirm them with the coordinator or Graduate Admissions.
Ph.D. ProgramNews