Contact

Department of Information Technology and Analytics
Kogod School of Business | American University
4400 Massachusetts Ave | Washington DC 20016
(202) 885-1765 | nzhang@american.edu
[ Research Lab ❐ ] [ LinkedIn ❐ ]

Basic Info

Before joining Kogod in 2018, I was a Professor of Information Sciences and Technology at The Pennsylvania State University. From January 2016 to August 2017, I served as a Program Director at the National Science Foundation (NSF), with responsibilities in the 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 on data analytics and information security/privacy has been supported by NSF, the Defense Advanced Research Projects Agency (DARPA), the Army Research Office (ARO), and the Qatar Foundation. My work has received several awards, including the NSF CAREER award in 2008; the Communications of the ACM Research Highlight in 2020; the ACM SIGMOD Research Highlight Award in 2019; and several best paper awards from conferences such as the 2019 American Marketing Association Summer Academic Conference (Consumer 360° Track), the 2013 IEEE International Conference on Communications (Communication and Information Systems Security Symposium), the 2013 ACM International Conference on Information and Knowledge Management (best student paper for papers with a student first author), the 2010 IEEE International Conference on Networking, Architecture, and Storage, etc. 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, Posters, Tutorials
Word cloud of my publications

2020

  • Zhang, N., Wang, M., & Xu, H. (Forthcoming). Disentangling Effect Size Heterogeneity in Meta-analysis: A Latent Mixture Approach, Psychological Methods.
  • Asudeh, A., Augustine, J., Nazi, A., Thirumuruganathan, S., Zhang, N., Das, G., & Srivastava, D. (Forthcoming). Scalable Signal Reconstruction for a Broad Range of Applications. Communications of the ACM.
  • Xu, H., Zhang, N., & Zhou, L. (2020). Validity Concerns in Research Using Organic Data. Journal of Management, 46(7), pp. 1257-1274.
  • Asudeh, A., Augustine, J., Nazi, A., Thirumuruganathan, S., Zhang, N., Das, G., & Srivastava, D. (2020). Scalable Algorithms for Signal Reconstruction by Leveraging Similarity Joins. The VLDB Journal, 29, pp. 681-707.

2019

  • Asudeh, A., Augustine, J., Nazi, A., Thirumuruganathan, S., Zhang, N., Das, G., & Srivastava, D. (2019). Efficient Signal Reconstruction for a Broad Range of Applications. SIGMOD Record, 48(1), pp. 42-49.
  • Xu, H., & Zhang, N. (2019). Privacy in Health Disparity Research. Medical Care. 57, S172-S175.
  • Asudeh, A., Nazi, A., Zhang, N., Das, G., & Jagadish, H. (2019). RRR: Rank-Regret Representative. SIGMOD.
  • Alsarkal, Y., Zhang, N., & Xu, H. (2019). Protecting Privacy on Social Media: Is Consumer Privacy Self-Management Sufficient? HICSS.

2018

  • Alsarkal, Y., Zhang, N., & Xu, H. (2018). Your Privacy Is Your Friend's Privacy: Examining Interdependent Information Disclosure on Online Social Networks. HICSS.
  • Gunasekaran, Y., Rahman, M., Hasani, S., Zhang, N., & Das, G. (2018). DBLOC: Density Based Clustering over LOCation Based Services. SIGMOD. pp. 1697-1700.
  • Asudeh, A., Nazi, A., Augustine, J., Thirumuruganathan, S., Zhang, N., Das, G., & Srivastava, D. (2018). Leveraging similarity joins for signal reconstruction. Proceedings of the VLDB Endowment. Vol. 11, No. 10, pp. 1276-1288.
  • Xu, H., & Zhang, N. (2018). Confidence Levels for Empirical Research Using Twitter Data. Proceedings of the APA Technology, Mind, and Society Conference.

2017

  • Asudeh, A., Nazi, A., Zhang, N., & Das, G. (2017). Efficient computation of regret-ratio minimizing set: A compact maxima representative. SIGMOD. pp. 821-834.
  • Rahman, M., Liu, W., Suhaim, S., Thirumuruganathan, S., Zhang, N., & Das, G. (2017). Density based clustering over location based services. IEEE International Conference on Data Engineering (ICDE). pp. 461-469.
  • Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal. Vol. 4, No. 5, pp. 1125-1142.

2016

  • Zhou, Z., Zhang, N., Gong, Z., & Das, G. (2016). Faster random walks by rewiring online social networks on-the-fly. ACM Transactions on Database Systems (TODS). Vol. 40, No. 4,
  • Asudeh, A., Thirumuruganathan, S., Zhang, N., & Das, G. (2016). Discovering the skyline of web databases. Proceedings of the VLDB Endowment. Vol. 9, No. 7, pp. 600-611.
  • Asudeh, A., Zhang, N., & Das, G. (2016). Query reranking as a service. Proceedings of the VLDB Endowment. Vol. 9, No. 11, pp. 888-899.
  • Rahman, M., Suhaim, S., Liu, W., Thirumuruganathan, S., Zhang, N., & Das, G. (2016). Analoc: Efficient analytics over location based services. IEEE International Conference on Data Engineering (ICDE). pp. 1366-1369.
  • O’neill, L., Dexter, F., & Zhang, N. (2016). The risks to patient privacy from publishing data from clinical anesthesia studies. Anesthesia & Analgesia. Vol. 122, No. 6, pp. 2017-2027.

2015

  • Nazi, A., Zhou, Z., Thirumuruganathan, S., Zhang, N., & Das, G. (2015). Walk, not wait: Faster sampling over online social networks. Proceedings of the VLDB Endowment. Vol. 8, No. 6, pp. 678-689.
  • Nazi, A., Thirumuruganathan, S., Hristidis, V., Zhang, N., & Das, G. (2015). Answering Complex Queries in an Online Community Network. ICWSM. pp. 662-665.
  • Liu, W., Rahman, M., Thirumuruganathan, S., Zhang, N., & Das, G. (2015). Aggregate estimations over location based services. Proceedings of the VLDB Endowment. Vol. 8, No. 12, pp. 1334-1345.
  • Rahman, M., Liu, W., Thirumuruganathan, S., Zhang, N., & Das, G. (2015). Privacy implications of database ranking. Proceedings of the VLDB Endowment. Vol. 8, No. 10, pp. 1106-1117.
  • Zhou, Z., Zhang, N., & Das, G. (2015). Leveraging history for faster sampling of online social networks. Proceedings of the VLDB Endowment. Vol. 8, No. 10, pp. 1034-1045.
  • Lu, Y., Thirumuruganathan, S., Zhang, N., & Das, G. (2015). Hidden Database Research and Analytics (HYDRA) System.. IEEE Data Engineering Bulletin. Vol. 38, No. 3, pp. 84-102.

For publications earlier than 2015, please refer to my dblp page.

Selected Recent Professional Services


Teaching

So far, I have taught the following courses at the undergraduate or graduate level:

© 2019 Nan Zhang