Contact

Westgate E357
College of Information Sciences and Technology
The Pennsylvania State University
University Park, PA 16802
(814) 863-9463 (office) | nan@ist.psu.edu
[ LinkedIn ❐ ] [ dblp ❐ ]

Basic Info

Before joining Penn State in August 2017, I was a Professor of Computer Science at The George Washington University, Washington DC. From January 2016 to August 2017, I served as a Program Director at the National Science Foundation, with responsibilities spanning Information Integration and Informatics (III), Secure and Trustworthy Cyberspace (SaTC), and BIGDATA programs.I received my Ph.D. from Texas A&M University in 2006 and my B.S. from Peking University, China in 2001, both in computer science.

My research focuses on data analytics and information security/privacy, and is currently supported by National Science Foundation, Army Research Office, and Qatar Foundation. My work has received several awards, including the NSF CAREER award in 2008, Best Paper Awards from IEEE ICC 2013 and IEEE NAS 2010, the Best Student Paper Award from ACM CIKM 2013, and a Best Paper Nomination from IEEE ISI 2015. My work on technology transfer was also recognized by the GW Technology Transfer Innovation Price and the first place finish at the GW Business Plan Competition, both in 2012.

Selected Recent Publications

: Journal Articles : Conference Papers : Demos & Tutorials
Word cloud of my publications

2017

  • A. Asudeh, A. Nazi, N. Zhang, G. Das, Efficient Computation of Regret-ratio Minimizing Set: A Compact Maxima Representative, Proceedings of the ACM SIGMOD International Conference on Management of Data (SIGMOD), 2017.
  • M. F. Rahman, W. Liu, S. Bin Suhaim, S. Thirumuruganathan, N. Zhang and G. Das, HDBSCAN: Density based Clustering over Location Based Services, Proceedings of the IEEE International Conference on Data Engineering (ICDE), 2017.
  • S. Bin Suhaim, N. Zhang, G. Das and A. Jaoua, HDBExpDetector: Aggregate Sudden-Change Detector over Dynamic Web Databases, Proceedings of the IEEE International Conference on Data Engineering (ICDE), System Demonstration, 2017.

2016

  • A. Asudeh, N. Zhang, G. Das, Query Reranking As A Service, Proceedings of the VLDB Endowment (VLDB), 2016.
  • A. Asudeh, S. Thirumuruganathan, N. Zhang, G. Das, Discovering the Skyline of Web Databases, Proceedings of the VLDB Endowment (VLDB), 2016.
  • L. O'Neill, F. Dexter, N. Zhang, The Risks to Patient Privacy from Publishing Data from Clinical Anesthesia Studies, Anesthesia & Analgesia, 2016. [press release] [cover art "... not so much that patients live behind the questionably opaque curtain of data, rather they are the data"]
  • M. Farhad Rahman, S. Bin Suhaim, W. Liu, S. Thirumuruganathan, N. Zhang, G. Das, ANALOC: Efficient ANAlytics over LOCation Based Services, Proceedings of the IEEE International Conference on Data Engineering (ICDE), System Demonstration, 2016.
  • Z. Zhou, N. Zhang, Z. Gong, G. Das, Faster Random Walks By Rewiring Online Social Networks On-The-Fly, ACM Transactions on Database Systems (TODS), 40(4), Article No. 26, 2016.
  • H. Yan, Z. Gong, N. Zhang, T. Huang, H. Zhong, J. Wei, Crawling Hidden Objects with kNN Queries, IEEE Transactions on Knowledge and Data Engineering (TKDE), 28(4), pp.912-924, 2016.
  • X. Pan, Z. Ling, A. Pingley, W. Yu, N. Zhang, K. Ren, X. Fu, Password Extraction via Reconstructed Wireless Mouse Trajectory, IEEE Transactions on Dependable and Secure Computing (TDSC), 13(4), pp. 461-473, 2016. [news report]

2015

  • Y. Lu, S. Thirumuruganathan, N. Zhang, G. Das, Hidden Database Research and Analytics (HYDRA) System, IEEE Data Engineering Bulletin, 38(3), 2015.
  • W. Liu, M. Farhad Rahman, S. Thirumuruganathan, N. Zhang, and G. Das, Aggregate Estimations over Location Based Services, Proceedings of the VLDB Endowment (VLDB), 2015.
  • M. Farhad Rahman, W. Liu, S. Thirumuruganathan, N. Zhang, and G. Das, Privacy Implications of Database Ranking, Proceedings of the VLDB Endowment (VLDB), 2015.
  • Z. Zhou, N. Zhang, and G. Das, Leveraging History for Faster Sampling of Online Social Networks, Proceedings of the VLDB Endowment (VLDB), 2015.
  • A. Nazi, Z. Zhou, S. Thirumuruganathan, N. Zhang, and G. Das, Walk, Not Wait: Faster Sampling Over Online Social Networks, Proceedings of the VLDB Endowment (VLDB), 2015.
  • Y. Alsarkal, Y. Zhou, N. Zhang, Linking Virtual and Real-World Identities, Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI), 2015. (1 of 5 nominated for the Best Paper Award)
  • A. Nazi, S. Thirumuruganathan, V. Hristidis, N. Zhang, G. Das, Answering Complex Queries in an Online Community Network, Proceedings of the Intl AAAI Conference on Web and Social Media (ICWSM), 2015.
  • H. Yan, Z. Gong, N. Zhang, T. Huang, H. Zhong, J. Wei, Aggregate Estimation in Hidden Databases with Checkbox Interfaces, IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(5), pp. 1192-1204, 2015.
  • H. Huang, R. C. Chiang, S. Rajasekaran, N. Zhang, Swiper: Exploiting Virtual Machine Vulnerability in Third-Party Clouds with Competition for I/O Resources, IEEE Transactions on Parallel and Distributed Systems (TPDS), 26(6), pp. 1732-1742, 2015.

2014

  • W. Liu, S. Thirumuruganathan, N. Zhang, and G. Das, Aggregate Estimation Over Dynamic Hidden Web Databases, Proceedings of the VLDB Endowment (VLDB), 2014.
  • W. Liu, S. Bin Suhaim, S. Thirumuruganathan, N. Zhang, G. Das, and A. Jaoua, HDBTracker: Aggregate Tracking and Monitoring Over Dynamic Web Databases, Proceedings of the VLDB Endowment (VLDB), System Demonstration, 2014.
  • S. Thirumuruganathan, N. Zhang, Vagelis Hristidis, and G. Das, Aggregate Estimation Over a Microblog Platform, Proceedings of the ACM SIGMOD Intl Conference on Management of Data (SIGMOD), 2014.
  • N. Zhang and G. Das, Exploration and Mining of Web Repositories, ACM International Conference on Web Search and Data Mining (WSDM), Tutorial, 2014. [tutorial slides]
  • H. Li, X. Cheng, K. Li, C. Hu, N. Zhang, W. Xue, Robust Collaborative Spectrum Sensing Schemes for Cognitive Radio Networks, IEEE Transactions on Parallel and Distributed Systems (TPDS), 25(8), pp. 2190-2200, 2014.
  • N. Zhang, C. Li, N. Hassan, S. Rajasekaran, G. Das, On Skyline Groups, IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(4), pp. 942-956, 2014.
  • Q. Yang, J. Yang, W. Yu, D. An, N. Zhang, W. Zhao, On False Data Injection Attacks against Power System State Estimation: Modeling and Countermeasures, IEEE Transactions on Parallel and Distributed Systems (TPDS), 25(3), pp. 717-729, 2014.
Please see my dblp ❐ page for other publications.

Selected Recent Professional Services


Teaching

I will be teaching IST 597: "Data Security and Privacy" in Fall, 2017. Previously, I taught the following undergraduate and graduate courses at GWU and UTA:

© 2008-2017 Nan Zhang