Juan Jenny Li, Ph.D.
Full Professor
Department of Computer Science and Technology
Office Location: GLAB-230
Email: juli@kean.edu
Phone: (908) 737-4713
Research Interests
My current research focus is AI and machine learning with their applications to software engineering, health and cyber security. I am an experienced researcher with over 100 publications and hold 20 patents. I am a frequent reviewer for NSF and serve in several ACM/IEEE conference committees, including being a member of the steering committee of ICSE/AST. I am also a special-issue editor for the Springer Software Quality Journal
Selected publications
US Patents:
System and method to improve the resiliency and performance of enterprise networks by utilizing in-built network redundancy. Avaya Technology March 2007: US 07188189 (20 worldwide citations)
System and method for notification of internet users about faults detected on an IP network. Avaya December 2008: US 07463652 (4 worldwide citations)
Rapid fault detection and recovery for internet protocol telephony. Avaya August 2010: US 07782787 (3 worldwide citations)
Method and apparatus for secure wireless delivery of converged services. Avaya Technology March 2008: US 07346168 (136 worldwide citations)
Secure interaction between a mobile client device and an enterprise application in a communication system. Avaya April 2011: US 07925717 (3 worldwide citations)
Program structure recovery, Avaya October 2012: US 08291399 (1 worldwide citation)
Code-coverage guided prioritized test generation. Avaya January 2012: US 08108826 (2 worldwide citations)
Efficient encoding of instrumented data in real-time concurrent systems. Avaya January 2013: US 08356289 (1 worldwide citation)
Efficient program instrumentation. Avaya August 2013: US 08484623
Secure interaction between a mobile client device and an enterprise application in a communication system. June 2004:US 20040122907-A1
Web services and session initiation protocol endpoint for converged communication over internet protocol networks. US8799478
Publications:
Kumar, Y., Thomas, S., Gayle, D., and Li, J. J., “AdversaGuard: A Distributed Data Poisoning Benchmark for Parallel AI”. In Proceedings of the IEEE and ACM SuperComputing2025. (Accepted, to appear Nov. 2025)
Mardi, J., Kumar, Y., Yang, G., Kruger, D., and Li, J. J., “Preliminary Results of LLM Vulnerability Testing in Less Common Languages”. In Proceedings of the CAI'25 - The 27th Int'l Conf on Artificial Intelligence. Cham: Springer International Publishing. (Accepted, in press). https://american-cse.org/static/NEW-2025-CSCE-BOOKLET.pdf
Kumar, Y., Kruger, D., and Li, J. J., “A Systematic Analysis of AGI and ASI Existential Risk Scenarios”. In Proceedings of the AIR-RES 2025, American Council on Science & Education / Springer Nature. (Accepted, in press)
Wong, G., Kumar, Y., Li, J. J., and Kruger, D., “Real-Time Object Detection and Skeletonization for Motion Prediction in Video Streaming”. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI2025), 39(28), 29712-29714.
https://doi.org/10.1609/aaai.v39i28.35376.
Kumar, Y., Marchena, J., Guzan, S., Kruger, D., and Li, J. J. (2025, March). Comparative Analysis of RAG-based Methods for Multilingual SwarmLexI. In Springer Lecture Series on the 2025 Intelligent Systems Conference (presented in August 2025). In press with Springer International Publishing.
Kumar, Y., Kruger, D., Marchena, J., & Li, J. J., “Preliminary Results of Emotions Detection with AMIGO App.” In Proceedings of 2025 IEEE Integrated STEM Education Conference (ISEC) (pp. 1-4). https://ieeexplore.ieee.org/document/11147309
Yang, G., Y., Kumar, Y., Kruger, D., and Li, J. J. (2025, March). Cross-lingual and Multimodal Cyberbullying and Bias Detection and Content Generation via CyberGenDet. In Springer Lecture Series on the 2025 Intelligent Systems Conference (presented in August 2025). In press with Springer International Publishing.
Kruger, D., Kumar, Y., and Li, J. J., “Parametric Matching for Improved Data Compression”. In Proceedings of the Data Compression Conference (DCC'2025), Snowbird, UT, USA.
Villalobos, W., Kumar, Y., Li, J. J. The Multilingual Eyes Multimodal Traveler’s App. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Springer Lecture Notes in Networks and Systems, vol 1004. https://doi.org/10.1007/978-981-97-3305-7_45.
Kumar Y., Marchena J., Abdalla H. B., Awlla, A. H., Li, J. J., Morreale, P., The AI-powered Evolution of Big Data. Applied Sciences (journal). 2024; 14(3):992. (over 10K downloads)
Kumar Y., Lin, M., Paredes, C., Kruger, D., Li, J. J., and Morreale, P., (2024) One Year of AI Progress According to testFAILS and Beyond. In the journal Electronics 2024, 13(24), 4991. https://www.mdpi.com/2079-9292/13/24/4991.