I am currently a Ph.D. candidate in Department of Computer Science and Engineering, at State University of New York at Buffalo. My advisor is Prof. Sheng Zhong. My current research interests include data privacy, and wireless networks with an emphasis on incentive compatibility issues. I received my M.S. degree and B.S. degree both in Computer Science and Engineering from Harbin Institute of Technology, China, in 2006 and 2004 respectively.

Publications

1. Tingting Chen and S. Zhong. INPAC: An Enforceable Incentive Scheme for Wireless Networks using Network Coding. Accepted. To appear in Proceedings of the 29th IEEE International Conference on Computer Communications, INFOCOM 2010.
2. Tingting Chen, S. Zhong. Privacy Preserving Back-Propagation Neural Network Learning, IEEE Transactions on Neural Networks, Volume 20, Issue 10, Oct. 2009, Page(s):1554 - 1564.
3. S. Zhong, Z. Yang, Tingting Chen, k-Anonymous Data Collection, Information Sciences, Volume 179, Issue 17, Aug. 2009, Pages 2948-2963.
4. S. Zhong, Tingting Chen. An Efficient, Identity-based Protocol for Private Matching, International Journal of Communication Systems, conditionally accepted subject to revision, March 2009.
5. Tingting Chen, S. Zhong. Perfectly Fair Channel Assignment in Non-cooperative Multi-radio Multi-channel Wireless Networks, Computer Communications, Volume 32, Number 6, Pages 1058-1061, 2009.
6. F. Wu, Tingting Chen, S. Zhong, L. (Erran) Li, Y. R. Yang, Incentive-compatible opportunistic routing for wireless networks, in Proceedings of The Fourteenth Annual International Conference on Mobile Computing and Networking (ACM MobiCom 2008), San Francisco, CA, USA, Sep. 14-19, 2008.
7. Tingting Chen, S. Zhong, Enhancing Privacy of Released Database, in Proceedings of 2007 IEEE International Conference on Granular Computing (GrC 2007), San Jose, California, USA, 2-4 November 2007. (Invited Paper).
8. Tingting Chen, Y. Wang, B. Fang, J. Zheng, Detecting Lasting and Abrupt Bursts in Data Streams Using Two-Layered Wavelet Tree, in Proceedings of 2006 International Conference on Internet and Web Applications and Services/Advanced International Conference on Telecommunications (AICT-ICIW 2006), 19-25 Feb. 2006 Page(s): 30.
9. Tingting Chen, B. Fang, J. Zheng, A data analyzer in network anomaly detection system based on hierarchical self-organizing map (in Chinese), in Proceedings of National Open Distributed and Parallel Computing Symposium, Shanghai, China, Oct. 27-29. 2005. Best Paper Award.

Research Experience

I have worked on some research projects on different topics of data privacy and incentive compatible protocols in wireless networks.

• Data privacy.
  To protect data privacy especially in the distributed computing environment, we apply cryptographic approaches to provide provably secure protocols for different tasks :
  1) Designed the first privacy preserving back-propagation learning algorithms for multi-layer neural networks with vertically partitioned data. 2) Built a cryptographic protocol for private matching, in which users can find their desired partners without revealing the requirements and profiles to each other. 3) Proposed a hybrid approach to enhance the privacy of the databases to be released, with a combination of two existing techniques, k-anonymity and randomization.
• Incentive compatibility in wireless networks.
  1) Designed and built a credit-based incentive scheme to stimulate the packet forwarding among selfish user nodes in Delay Tolerant Networks. 2) Designed and built a perfectly fair channel assignment scheme for multi-radio multi-channel wireless networks, despite that user nodes are non-cooperative and selfish in maximizing their own throughput. 3) Participated in designing the first incentive compatible opportunistic routing protocol, which significantly improves overall network throughput in presence of selfish nodes.

Teaching

I was a teaching assistant for the following courses in State University of New York at Buffalo (2006-2009).

• CSE191 Discrete Structures.
• CSE113 Introduction to Computer Programming I.
• CSE111 Great Ideas in Computer Science.
• CSE101 Computers, A General Introduction.

Professional Services

Paper Reviewer for

• IEEE Transactions on Parallel and Distributed Systems.
• IEEE Transactions on Neural Networks.
• Ad Hoc Networks (Elsevier).
• The 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008).
• The 50th IEEE Global Communications Conference (GLOBECOM 2007).