Data Science and System Security | Shengyu Chen

Shengyu Chen is a Researcher in the Data Science and System Security Department at NEC Laboratories America, based in Princeton, NJ. He earned his Master’s degree in Computer Science from Indiana University Bloomington and completed his Ph.D. in Computer Science at the University of Pittsburgh. At NEC, Dr. Chen develops advanced AI methods for analyzing complex spatial-temporal and time-series data. His work integrates generative modeling, foundation models, large language models, and knowledge-guided machine learning techniques to address challenges in cybersecurity, system monitoring, and intelligent automation. He designs algorithms that extract actionable insights from massive, heterogeneous datasets, enabling more accurate detection, prediction, and decision-making in critical IT and OT environments. His research bridges cutting-edge machine learning techniques with practical applications that enhance resilience, efficiency, and security across diverse domains.