Yi Chen

Yi Chen is a Professor at the MT School of Management and Director of the Center for Big Data at New Jersey Institute of Technology (NJIT). His research focuses on database systems, information retrieval, XML processing, privacy/security, and healthcare informatics. He has led numerous NSF-funded projects, including studies on privacy interventions in online publishing ecosystems and meta-information analysis in semi-structured data. Key contributions include work on counter-ad-blocking strategies, GDPR compliance frameworks, and machine learning models for healthcare prediction. He has published over 100 articles in top venues and holds an h-index of 24 with 1,947 citations. Notable awards include recognition in the Japanese Economic Review.

Research interests combine computational methods with real-world applications, particularly in privacy-preserving systems, medical data analytics, and workflow optimization. Recent projects explore the impact of transparency frameworks in digital advertising and biomarker extraction using sentiment analysis techniques. His work bridges theoretical advancements with practical solutions for industry challenges.

• Grants: 11 federal grants including NSF projects on workflow mining, ad-blocking dynamics, and student research initiatives.
• Lab: Center for Big Data at NJIT, focusing on large-scale data challenges.

Publications span key areas like ad viewability prediction, XML search engines (XSeek), and healthcare forum analysis. Collaborations include work on privacy frameworks and optimizing ad auction mechanisms.