个人经历：
2012年在武汉大学获得空间信息与数字技术学士学位；
2014年在威斯康辛州立大学获得软件工程硕士学位；
2015年-2017年在圣何塞, Aura Pur Inc.公司工作。
2022年12月在加利福尼亚大学-尔湾分校获得计算科学博士学位，导师为Dr. Shangping Ren教授和Dr. Nalini Venkatasubramanian 教授。
2023年-目前在华中科技大学人工智能与自动化学院做博士后，导师为国家杰青、IEEE Fellow曾志刚教授。
邮箱：zzyzhang@hust.edu.cn
研究方向：过程挖掘算法研究; 基于数据驱动的工业物联网系统；人工智能理论中的连续学习
部分代表作：
1. Zhang,Zhenyu, et al. "Using Domain Knowledge to Assist Process Scenario Discoveries." 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2022.
2. Zhang, Zhenyu, et al. "Improving Process Discovery Results by Filtering Out Outliers from Event Logs with Hidden Markov Models." 23rd IEEE International Conference on Business Informatics (CBI). IEEE, 2021.
3. Zhang, Zhenyu, et al. “Process Scenario Discovery from Event Logs based on Activity and Timing Information”. Journal of Systems Architecture, Elsevier, 2021
4. Zhenyu Zhang, Chunhui Guo, and Shangping Ren. "Mining timing constraints from event logs for process model." 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2020.
5. Zhenyu Zhang, Chunhui Guo, Wenyu Peng, and Shangping Ren. "Using Event Log Timing Information to Assist Process Scenario Discoveries." In 2020 IEEE Third International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), pp. 58-64. IEEE, 2020.
6. Zhang, Zhenyu, et al. "Prevent Potential Hazards Caused by Medical Device Time Differences in Integrated Clinical Environments." 2019 IEEE International Conference on Embedded Software and Systems (ICESS). IEEE, 2019.
7. Zhang, Zhenyu, Chunhui Guo, Zhicheng Fu, Yu Jiang, and Shangping Ren. "Reducing Patient Waiting Time for Radiotherapy Treatments with a Genetic Algorithm." In 2018 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 685-690. IEEE, 2018.
8. Zhu, Dan, Zhenyu Zhang, Min Chen, Pan Li, Yuanzhuo Xiang, Jingyu Ouyang, Zhiheng Huang et al. "A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric." Advanced Fiber Materials 5, no. 1 (2023): 1-11.
9. Ryan Hildebrant, Zhenyu Zhang, and Shangping Ren. “A Generalizable Approach for Determining the Sensitivity of a Trace within an Event Log” 2nd Workshop on Trust, Privacy and Security Aspects in Process Analytics. IEEE, 2021.
10. Wenyu Peng, Zhenyu Zhang, Ryan Hildebrant, and Shangping Ren. "Empirical Studies of Three Commonly Used Process Mining Algorithms." In the 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), IEEE, 2021.
11. Chunhui Guo, Zhenyu Zhang, Shangping Ren, Lui Sha, Formalism of A Frame- work for Supporting the Development of Verifiably Safe Medical Guidelines with Statecharts, ACM Transactions on Software Engineering and Methodology (TOSEM), 2020.
