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西北工业大学计算机学院导师教师师资介绍简介-朱培灿

本站小编 Free考研考试/2021-06-29


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基本信息 The basic information
朱培灿

计算机学院


博士研究生毕业

哲学博士


副教授







ericcan@nwpu.edu.cn




工作经历 Work Experience
2016.03-至今 西北工业大学 计算机学院 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




招生信息 Admission Information
欢迎对网络智能攻防、博弈论、复杂网络分析、信息溯源、传播影响最大化分析、社区结构挖掘、知识图谱、交通数据挖掘与流量预测等感兴趣的优秀本科生加入我们团队!
Email: ericcan@nwpu.edu.cn





荣誉获奖 Awards Information
1. 2020年,网络群体行为动力学理论与应用,陕西省自然科学奖一等奖,排3;
2. 2021年,入选西北工业大学翱翔新星。





科学研究 Scientific Research
1. 研究领域
网络智能攻防、博弈论、在线社交网络分析、信息溯源、传播影响最大化分析、社区结构挖掘、知识图谱、交通数据挖掘与流量预测等
2. 科研项目
2020.11-2023.10 科技创新2030-"新一代人工智能"重大项目课题-课题,AI系统鲁棒性增强与自动化攻防(2020AAA**),主持
2021.01-2024.12 国家自然科学基金面上项目,面向网络群体的信息传播机理研究(**),主持
2019.12-2023.12 科技创新2030-"新一代人工智能"重大项目课题-子课题,非完全信息条件下的博弈决策-课题五 群体博弈学习与对抗,主持
2017.01-2019.12国家自然科学基金青年科学基金,基于随机近似计算的复用网络动态分析研究(**),主持

2017.01-2017.12 航天科学技术基金项目,航天器内环境检测的无线传感器网络研究,主持
2018.01-2019.12 中央高校基本科研业务费面上项目,动态网络中疾病传播动力学研究(**zy034),主持
2018.01-2019.12 陕西省自然科学基金青年项目,复杂系统动态故障树分析方法及应用研究(2018JQ6075),主持

2020.01-2022.12 国际(地区)合作与交流项目,基于网络分析的人脑精神类疾病整合动力学研究(),参与
2019.01-2022.12 国家自然科学基金联合重点项目,公共安全领域的多源、时空大数据感知、融合及分析研究(U**),参与
2019.01-2020.12 陕西省重点产业创新链(群)——工业领域,基于网络公共安全的多源异构大数据融合及分析(2018ZDCXL-G-8-9),参与
2019.01-2021.12 广东省重点领域研发计划,新型基础设施的自动网络攻防对抗关键技术(2019B),参与



学术成果 Academic Achievements
Journal
[1] 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.
[2] 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.
[3] 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.**, 2019.
[4] 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)
[5] P. Zhu, X. Wang, Q. Zhi, J. Ma, Y. Guo, “ Analysis ofEpidemic Spreading Process in Multi-communities,”Chaos, Solitons and Fractals,109C (2018) pp. 231-237, 2018.
[6] P. Zhu, Q. Zhi, Y. Guo, Z.Wang, “Stochastic analysis and Optimal Design of Majority Systems,” IEEE Transactions on Circuits and SystemsII: Express Briefs, accepted, 2018.

[7] P. Zhu, R. Lv, Y. Guo, and S. Si, “Optimal Design of Redundant Structures by Incorporating Various Cost,” IEEE trans. on Reliability, accepted, 2018.
[8] 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.
[9] P. Zhu, Q. Zhi, Z.Wang, and Y. Guo, “Analysis of Epidemic Spreading Process in Adaptive Networks,” IEEE Transactions on Circuits and SystemsII: Express Briefs, accepted, 2018.

[10] 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.
[11]P. Zhu, Y. Guo,J. Hanand F. Lombardi,"On the Approximate Reliability of Multi-state Two-Terminal Networks by Stochastic Analysis", IETNetworks, 6(5): 116-124, 2017.
[12] P. Zhu, H. Aliabadi, H. Uludag, and J. Han, "Identification of Vulnerable Targets in Breast Cancer Singaling Pathway", Scientific Report, 6: 23078, 2016.
[13] 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.
[14] 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.
[15] 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.

[16] P. Zhu, J. Liang, and J. Han, “Gene Perturbation and Intervention in Context-Sensitive Stochastic Boolean Networks,” BMC System Biology, 8–60, 2014.

[17] 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.
[18] P. Zhu, and J. Han, “Stochastic Multiple-Valued Gene Networks,” IEEE Trans. on Biomedical Circuits and Systems,8(1):42–53, 2014.
[19] P. Zhu and J. Han, “Asynchronous stochastic Boolean networks as gene network models,” Journal of Computational Biology, 21(10): 760-770, October 2014.




社会兼职 Social Appointments
IEEE Member
AE for Palgrave Communications
计算机测量与控制 编委
中国运筹学会可靠性分会 理事
中国优选法统筹法与经济数学研究会工业工程分会 理事



团队信息 Team Information
与光电与智能研究院国家****、欧洲科学院院士、全球高被引****王震教授团队保持长期紧密合作。





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