Zhiyuan Chen

Home    Short-Bio    Research    Publications  Teaching  Grants  CV Students

Professor Chair Information Systems Department University of Maryland Baltimore County ITE 404J 1000 Hilltop Circle Baltimore, MD, 21250, USA Phone: +1 (410) 455-8833 Fax: +1(410)455-1073 Email: zhchen@umbc.edu

Zhiyuan Chen has obtained a BS and a MS from Fudan University, China, and a PhD in Computer Science from Cornell University. He is currently a professor at the Department of Information Systems, University of Maryland Baltimore County. His research covers the areas of data science, big data, privacy preserving data mining and data management, data exploration and navigation, semantic-based search and data integration using semantic networks, adversarial learning and its applications in cyber security. He has published extensively in these areas and has received funding from NSF, Department of Energy, IBM, Office of Naval Research, MITRE, and Department of Education.

My research covers following areas:

• Secure and flexible Information Sharing in Coalition Environments . I am interested in secure and flexible (situation aware) access control for information sharing in coalition environment.
  
  
• Privacy preserving data mining and data management. I am interested in algorithms for preserving privacy of data and at the same time allows accurate analysis of the data.
  　
• Data Exploration and Navigation. Database users often find it difficult to find useful information from databases. Their queries often return too many irrelevant answers. I am interested in using data mining, navigation, and information retrieval techniques to help user narrow down their scope of search and quickly locate relevant answers.
  　

• Adversarial learning. It is easy for attackers to modify their attacks to evade detection techniques used in cyber security. I am interested in attackers' evasion strategies as well as counter measures that can make detection techniques more robust.

• Efficient and scalable RDF triple store in distributed and resource-constrained environment. RDF is the data format for semantic web. I am interested in developing systems that can store and process large scale RDF data efficiently in distributed and sometimes resource-constrained environment.

Please refer to my research page for details. If you are a student and is interested in taking independent study or doing research in databases, please stop by my office.