張鵬程(河海大學教授)

張鵬程，男，1981年出生，博士，教授、碩士生導師，河海大學計算機與信息學院軟體工程系主任。

簡介：,代表性論著：,
張鵬程，男，1981年出生，博士，教授、碩士生導師，河海大學計算機與信息學院軟體工程系主任。

簡介：

張鵬程，男，1981年出生，博士，教授、碩士生導師，河海大學計算機與信息學院軟體工程系主任。IEEE會員，中國計算機學會高級會員，服務計算專委會委員。曾先後應邀在澳大利亞斯威本科技大學、義大利拉奎拉大學、香港理工大學、美國聖荷西州立大學等地訪問學習。負責主持或完成國家自然科學基金、江蘇省自然科學基金、教育部博士點基金、中國博士後基金等10餘項。獲東南大學優秀博士論文、中國博士後特別資助、湖北省科技進步一等獎、教育部科技進步一等和江蘇省優秀計算機科技工作者等。相關研究成果發表在領域權威國際學術期刊IEEE Transactions on Big Data、IEEE Transactions on Emerging Topics in Computing、IEEE Transactions on Services Computing、IEEE Transactions on Knowledge and Data Engineering、Information and Software Technology、Software: Practice and Experience、Journal of System and Software、國內權威學術期刊中國科學：信息科學、計算機學報、軟體學報、計算機研究與發展和國際學術會議ESEC/FSE、ASE等上。

代表性論著：

參考網站
  1. Zhang, P., Jin, H., Dong, H., Song, W., Bouguettaya. A., 2020. Privacy-Preserving QoS Forecasting in Mobile Edge Environments.IEEE Transactions on Services Computing.DOI: 10.1109/TSC.2020.2977018
  2. Song W., Jacobsen H, Zhang, P. 2019.Self-Healing Event Logs.IEEE Transactions on Knowledge and Data Engineering.DOI:10.1109/TKDE.2019.2956520
  3. Zhang, P., Jin, H., Dong, H., Song, W., Nov., 2019.M-BSRM: MultivariateBayeSian Runtime QoS Monitoring Using Point Mutual Information.IEEE Transactions on Services Computing. DOI: 10.1109/TSC.2019.2952604
  4. Zhang, P., Jin, H., Dong, H., Song, W., Wang, L., Feb., 2019. LA-LMRBF: Online and Long-term Web Service QoS Forecasting.IEEE Transactions on Services Computing.DOI: 10.1109/TSC.2019.2901848
  5. Zhang, P., Xiong, F., Leung, H. and Song W., Sept., 2018. FunkR-pDAE: Personalized Project Recommendation Using Deep Learning.IEEE Transactions on Emerging Topics in Computing.DOI: 10.1109/TETC.2018.2870734
  6. Zhang, P., Jia, Y., Gao, J., Song W., and Leung, H. Short-term Rainfall Forecasting Using Multi-layer Perceptron.IEEE Transactions on Big Data.2020, 6(1):93-106.DOI: 10.1109/TBDATA.2018.2871151
  7. Zhang, P., Pelliccione, P., Leung, H. and Li, X., 2018. Automatic generation of predictive monitors from scenario-based specifications.Information and Software Technology,2018,98, pp.5-31
  8. Zhang P, Jin H, He Z, Leung H, Song W, Jiang Y. IgS-wBSRM: A time-aware Web Service QoS monitoring approach in dynamic environments.Information and Software Technology. 2018, 96(4):14-26.
  9. Song W, Xia X, Jacobsen H A, Zhang, P., & Hu, H. Efficient Alignment between Event Logs and Process Models[J].IEEE Transactions on Services Computing, 2016:1939-1374.
  10. Zhang P, Leung H, Li W, et al. Web services property sequence chart monitor: a tool chain for monitoring BPEL-based web service composition with scenario-based specifications[J].IET Software, 2013, 7(4):222-248..
  11. Zhang P, Li W, Wan D, et al. Monitoring of Probabilistic Timed Property Sequence Charts[J].Software Practice & Experience, 2011, 41(7):841–866.
  12. Zhang P, Li B, Grunske L. Timed Property Sequence Chart[J].Journal of Systems & Software, 2010, 83(3):371-390.
  13. Zhang P, Muccini H, Li B. A classification and comparison of model checking software architecture techniques[J].Journal of Systems & Software, 2010, 83(5):723-744.
  14. Grunske, L., & Zhang, P. (2009, August). Monitoring probabilistic properties. InProceedings of the 7th joint meeting of the European software engineering conference and the ACM SIGSOFT symposium on The foundations of software engineering(pp. 183-192).
  15. Zhang P, Muccini H, Polini A, et al. Run-time systems failure prediction via proactive monitoring[C]//2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011). IEEE, 2011: 484-487.
  16. Zhang, P., Grunske, L., Tang, A., & Li, B. (2009, November). A formal syntax for probabilistic timed property sequence charts. In2009 IEEE/ACM International Conference on Automated Software Engineering(pp. 500-504). IEEE.

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