王春燕
副教授,青年英才岗位职 务:无
办 公 室:明德主楼1034
电子邮箱:chunyanwang@ruc.edu.cn
教育背景
2017.09-2021.06,南开大学统计学专业,理学博士学位
2015.09-2017.06,南开大学应用统计专业,应用统计硕士专业学位
2011.09-2015.06,湖南师范大学数学与应用数学专业,理学学士学位
工作经历
2024.08 至今,太阳成集团tyc122cc,副教授
2022.08-2024.08,太阳成集团tyc122cc,讲师
2021.07-2022.07,普渡大学,博士后助理研究员
访学经历
2019.09-2020.05,田纳西大学,访问学者
研究方向
试验设计、计算机试验、添加次序试验
科研项目
1. “复杂列正交空间填充设计与非正规设计的构造”,国家自然科学基金青年项目,项目批准号:12301323,主持,2024.01-2026.12
2. “复杂试验设计的理论、构造和应用”,太阳成集团122cc官网入口新教师启动金项目,项目批准号:23XNKJ17,主持,2023.01-2025.12
科研发表
1. Chunyan Wang, Jinyu Yang, Minqian Liu* (2021). "Construction of space-filling orthogonal designs." Journal of Statistical Planning and Inference, 213, 130-141
2. Chunyan Wang, Robert Mee* (2021). "Two-level parallel flats designs." Annals of Statistics, 49(5), 3015-3042
3. Chunyan Wang*, Robert Mee (2022). "Saturated and supersaturated order-of-addition designs." Journal of Statistical Planning and Inference, 219, 204-215
4. Chunyan Wang, Jinyu Yang, Minqian Liu* (2022). "Construction of strong group-orthogonal designs." Statistica Sinica, 32(3), 1225-1243
5. Chunyan Wang*, Dennis Lin (2023). "Interaction effects in pairwise ordering model. " Journal of Quality Technology, 55(4), 463-468
6. Chunyan Wang*, Caleb King, Dennis Lin (2024). "A general construction method for component orthogonal arrays." Quality and Reliability Engineering International, 44(1), 712-721
7. Chunyan Wang, Minqian Liu, Jinyu Yang* (2024). "A new class of strong orthogonal arrays of strength three." Journal of Systems Science and Complexity, 37(3), 1233-1250
8. Chunyan Wang, Robert Mee* (2024). "Fast construction of efficient two-level parallel flats designs." Journal of Statistical Planning and Inference, 229, 106093
9. 王春燕,杨金语*,“正交空间填充设计的最新结果”,《中国科学:数学》,54(1), 87-104
10. Chunyan Wang*, Robert Mee (2024). "A more efficient isomorphism check for two-level nonregular designs." Statistica Sinica, 34(4), 2183-2197
11. Chunyan Wang*, Dennis Lin (2024). "Strong orthogonal Latin hypercubes for computer experiments. " Computational Statistics and Data Analysis, 198, 107999
教学课程
1. 本科课程:实验设计
2. 研究生课程:试验设计与建模、抽样理论与方法、主文献研读