基本信息 The basic information
工作经历 Work Experience
2016.03-至今 西北工业大学 计算机学院 准聘副教授 硕士生导师
教育经历 Education Experience
2004.09-2008.06 西北工业大学 电子信息学院 本科
2008.09-2011.04 西北工业大学 电子信息学院 硕士
2011.04-2015.08 加拿大阿尔伯特大学 Department of Electrical and Computer Engineering 博士
科学研究 Scientific Research
2017-2019 National Science Foundation for Young Scientists of China (Grant no. 61601371)
2017 Aerospace Science and Technology Fund
2018-2019 the Fundamental Research Funds for the Central Universities (Grant no. 3102018zy034)
2018-2019 Natural Science Basic
Research Plan in Shaanxi Province of China (Grant No. 2018JQ6075).
Interests are listed as follows but not limited:
(1) reliability analysis of fault tree system;
(2) gene network modeling;
(3) gene intervention methodologies for cancer therapy;
(4) discrete logical models for biological system and pathway analysis;
(5) fault prediction based on intelligent algorithms;
(6) fault tolerant computing;
(7) wireless sensor network and complex system analysis;
(8) Epidemic spreading in multiplex networks.
学术成果 Academic Achievements
 P. Zhu, X. Wang, S. Li, Y. Guo, Z. Wang, “Investigation of Epidemic Spreading Process on Multiplex Networks by Incorporating Fatal Properties,” Applied Mathematics and Computation, 359: 512-524, 2019.
 P. Zhu, X. Dai, X. Li, C. Gao, M. Jusup and Z. Wang, “Community detection in temporal networks via a spreading process,” Europhysics Letters, 126 (4), 48001, 2019.
 P. Zhu, Z. Song, H. Guo, Z. Wang, T. Zhao, “Adaptive willingness resolves social dilemma in network populations,” Chaos, 29(11), DOI: 10.1063/1.5093046, 2019.
 Z. Li, P. Zhu, D. Zhao, Z. Deng, Z. Wang, “Suppression of epidemic spreading process on multiplex networks via active immunization,” Chaos, 29(7):073111, 2019. (co-first authors)
 P. Zhu, X. Wang, Q. Zhi, J. Ma, Y. Guo, “ Analysis of Epidemic Spreading Process in Multi-communities,” Chaos, Solitons and Fractals, 109C (2018) pp. 231-237, 2018.
 P. Zhu, Q. Zhi, Y. Guo, Z.
Wang, “Stochastic analysis and Optimal Design of Majority Systems,” IEEE Transactions on Circuits and Systems
II: Express Briefs, accepted, 2018.
 P. Zhu, R. Lv, Y. Guo, and S. Si, “Optimal Design of Redundant Structures by Incorporating Various Cost,” IEEE trans. on Reliability, accepted, 2018.
 P. Zhu, X. Song, L. Liu, Z. Wang and J. Han, “Stochastic Analysis of Multiplex Boolean Networks for Understanding Epidemic Propagation,” IEEE access, accepted, 2018.
 P. Zhu, Q. Zhi, Z.
Wang, and Y. Guo, “Analysis of Epidemic Spreading Process in Adaptive Networks,” IEEE Transactions on Circuits and Systems
II: Express Briefs, accepted, 2018.
 P. Zhu, Y. Guo, S. Si, and J. Han, "A Stochastic Analysis of Competing Failures with Propagation Effects in Functional Dependence Gates", IIE Transactions, 49(11): 1050-1064, 2017 .
 P. Zhu, Y. Guo, J. Han and F. Lombardi, "On the Approximate Reliability of Multi-state Two-Terminal Networks by Stochastic Analysis", IET Networks, 6(5): 116-124, 2017 .
 P. Zhu, H. Aliabadi, H. Uludag, and J. Han, "Identification of Vulnerable Targets in Breast Cancer Singaling Pathway", Scientific Report, 6: 23078, 2016.
 P. Zhu, J. Han, Y. Guo, and F. Lombardi, "Reliability and Criticality Analysis of Communication Networks by Stochastic Computation", IEEE Network, 30(6): 70-76, 2016.
 P. Zhu, J. Han, L. Liu, and F. Lombardi, "Reliability Evaluation of Phased-Mission Systems using Stochastic Computation", IEEE Trans. on Reliability, 65(3): 1612-1623 , 2016.
 P. Zhu, J. Han, L. Liu, and F. Lombardi, “A Stochastic Approach for the Analysis of Dynamic Fault Trees with Spare Gates under Probabilistic Common Cause Failures,” IEEE Trans. on Reliability, 64(3): 878 – 892,2015.
 P. Zhu, J. Liang, and J. Han, “Gene Perturbation and Intervention in Context-Sensitive Stochastic Boolean Networks,” BMC System Biology, 8–60, 2014.
 P. Zhu, J. Han, L. Liu, and Ming J. Zuo, “A Stochastic Approach for the Analysis of Fault Trees with Priority AND Gates,” IEEE Trans. on Reliability, 63(2): 480 - 494, June 2014.
 P. Zhu, and J. Han, “Stochastic Multiple-Valued Gene Networks,” IEEE Trans. on Biomedical Circuits and Systems, 8(1):42–53, 2014.
 P. Zhu and J. Han, “Asynchronous stochastic Boolean networks as gene network models,” Journal of Computational Biology, 21(10): 760-770, October 2014.