Projects per year
Personal profile
About
Related links & documents
Education/Academic qualification
Ph.D. in Computer Science and Software Engineering, Auburn University
… → 2007
B.Eng. in Computer Science and Applications, Nanjing University of Science and Technology
… → 2000
Disciplines
- Information Security
- Digital Communications and Networking
Research Interests
- Machine Learning and Data Mining
- Network Security
- Cybersecurity
- Cloud Security
- Digital Forensics
- Computer Forensics
- Cyber forensics
- Networking and Communications
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 16 Peace, Justice and Strong Institutions
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Collaborations and top research areas from the last five years
Projects/Grants
- 1 Active
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Enabling Lifelong Success in the Information Technology Workforce
Chen, L. (CoPI), Wimmer, H. (CoPI), Ji, Y. (PI) & Cain, E. (CoPI)
07/15/23 → 06/30/29
Project: Research
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AI-Enabled Project Management: Improving Risk, Resources, and Scheduling with Jira
Nwachukwu, E., Herring, J., Adedoyin, M. & Chen, L., 2026, SoutheastCon 2026. Institute of Electrical and Electronics Engineers Inc., (Conference Proceedings - IEEE SOUTHEASTCON).Research output: Contribution to book or proceeding › Conference article › peer-review
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Graph Based Structural Anomaly Scoring and Hybrid Ranking for Audit Oriented Screening of Accounting Transaction
Deborah, O., Chen, L., Li, L. & Elijah, T., Feb 1 2026, SoutheastCon 2026 Proceedings. IEEE, (Conference Proceedings - IEEE SOUTHEASTCON).Research output: Contribution to book or proceeding › Conference article › peer-review
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Privacy-preserving explainable federated learning for non-invasive blood glucose estimation from photoplethysmography signals
Rahman, A., Walee, N. A., Karim, M. A., Sung, A. H. & Chen, L., 2026, 18th International Conference on Bioinformatics and Biomedical Technology.Research output: Contribution to book or proceeding › Conference article › peer-review
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Probabilistic modeling of decryption-failure bounds in CRYSTALS-Kyber under the post-quantum threat model
Yavas, C. E., Chen, L. & Kadlec, C., Feb 1 2026, In: Machine Learning: Science and Technology. 7, 1, 015033.Research output: Contribution to journal › Article › peer-review
Open Access -
Retraction Note: Improving earthquake prediction accuracy in Los Angeles with machine learning (Scientific Reports, (2024), 14, 1, (24440), 10.1038/s41598-024-76483-x)
Yavas, C. E., Chen, L., Kadlec, C. & Ji, Y., Apr 20 2026, In: Scientific Reports. 16, 1, 12864.Research output: Contribution to journal › Commentary
Open Access
Datasets
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Los Angeles, California, Earthquake Dataset with Feature-Engineered Variables
Yavas, C. E. (Creator), Chen, L. (Creator), Kadlec, C. (Creator) & Ji, Y. (Creator), ZENODO, Sep 10 2024
DOI: 10.5281/zenodo.13738726, https://zenodo.org/records/13738726
Dataset