个人简介
姓名：毕利
职称：讲师/硕士生导师
电子邮件：bili@cust.edu.cn
研究领域：时间序列分析、智能交通与大数据分析、数据分析、非参数统计、高维数据分析
所属学科及导师类别：
1）概率论与数理统计：硕士生导师（学生0-2个名额/年）；
2）应用统计学：硕士生导师（学生0-4个名额/年）；
毕利，理学博士，讲师，硕士生导师。长春理工大学数学与统计学院应用统计系副主任。博士毕业于吉林大学理学博士。作为项目负责人完成省级教研项目1项，参与省部级教研项目5项. 以第一作者身份发表SCI检索论文1篇，核心论文1篇。
教育经历
2020年毕业于吉林大学概率论与数理统计专业，获理学博士学位；
2016年毕业于吉林师范大学应用数学专业， 获理学硕士学位；
2013年毕业于北华大学数学与应用数学专业， 获理学学士学位。
职称与职务
2021年09月至今 长春理工大学 数学与统计学院 讲师
2020年07月-2021年 08月 长春理工大学 理学院 讲师
研究方向
时间序列分析、智能交通与大数据分析、数据分析、非参数统计、高维数据分析
指导与教学
任职以来累计主讲多门专业课程：
主讲本科生课程《概率论与数理统计》、《概率论》、《数理统计》、《专业导论》、《应用时间序列分析》；
累积指导各类学生科技竞赛获省部级一等奖6项，二等奖4项，三等奖3项。
代表性科研项目
任职以来，主持和参与教研项目6项，部分教研项目如下：
主持项目：
2022年 大数据背景下虚拟仿真教学平台资源共享的研究与实践
参与项目：
2023年 应用统计专业学位硕士研究生培养模式改革研究与实践
2023年 教研融合协同创新背景下高校开放式实验室智能管理模式及技术研究
2022年 应用统计学专业教师教学能力提升研究
2021年 理工类院校数学专业基础课程教学模式改革与实践——基于《高等代数》课程
2021年 新工科背景下“离散数学”课程改革研究
代表性论文
任职以来，在国内外发表SCI检索论文1篇，核心论文1篇。学术论文如下：
Bi Li, Lu Feilong, Yang Kai, Wang Dehui. Locally most powerful test for the Random Coefficient Autoregressive Model [J].Mathematical Problems in Engineering, DOI: https://doi.org/10.1155/2019/6593821. 中科院SCI四区
赵志文，毕利，张美丽．Poisson自回归模型的平稳性检验[J]．吉林大学学报理学版．2015．2：235-240．
社会职务
吉林省E类人才，
全国工业统计学教学研究会民族统计与数据科学分会理事，
中国现场统计研究会多元统计分会理事.
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Curriculum Vitae
Bi Li, Doctor of Science, Lecturer, Master Supervisor. He is the deputy director of the Department of Applied Statistics, School of Mathematics and Statistics, Changchun University of Science and Technology. He received his PhD from Jilin University. He has completed one provincial teaching and research project as the project leader, and participated in five provincial and ministerial teaching and research projects. She has published one SCI paper and one core paper as the first author.
Education and Training
Graduated from Jilin University in 2020 with a Doctor of Science degree in Probability Theory and Mathematical Statistics;
Graduated from Jilin Normal University in 2016 with a Master of Science degree in Applied Mathematics;
Graduated from Beihua University in 2013 with a Bachelor of Science degree in Mathematics and Applied Mathematics.
Position
September 2021-present Lecturer, School of Mathematics and Statistics, Changchun University of Science and Technology.
July 2020 - August 2021 Lecturer, College of Science, Changchun University of Science and Technology
Research Interests
Time series analysis, intelligent transportation and big data analysis, data analytics, nonparametric statistics, high-dimensional data analysis.
Supervision and Teaching
She has lectured in several professional courses since she took office:
Lecturing undergraduate courses "Probability Theory and Mathematical Statistics", "Probability Theory", "Mathematical Statistics", "Introduction to the Profession", "Applied Time Series Analysis";
Cumulatively guiding various student science and technology competitions to win 6 first prizes, 4 second prizes and 3 third prizes at the provincial and ministerial levels.
Representative scientific research projects
Since her tenure, she has presided over and participated in 6 teaching and research projects, some of which are listed below:
Chaired Project:
2022 Research and Practice on Resource Sharing of Virtual Simulation Teaching Platform in the Context of Big Data
Participating Project:
2023 Research and Practice on the Reform of Cultivation Mode of Master's Degree Candidates in Applied Statistics
2023 Research on Intelligent Management Mode and Technology of Open Laboratory in Colleges and Universities under the Background of Teaching-Research Integration and Collaborative Innovation
2022 Research on Improvement of Teaching Ability of Teachers Specializing in Applied Statistics
2021 Reform and Practice of Teaching Mode of Mathematics Basic Courses in Polytechnic Colleges and Universities - Based on the Course of Higher Algebra
2021 Research on the Reform of Discrete Mathematics Program in the Context of New Engineering Sciences
Representative Papers
Since her appointment, she has published one SCI search paper and one core paper at home and abroad. The academic papers are as follows:
Bi Li, Lu Feilong, Yang Kai, Wang Dehui. Locally most powerful test for the Random Coefficient Autoregressive Model [J].Mathematical Problems in Engineering, DOI: https://doi.org/10.1155/2019/6593821.
Social Positions
Talent of Class E in Jilin Province, Director of National Society for Teaching and Research of Industrial Statistics, Ethnostatistics and Data Science Branch, Director of Chinese Field Statistics Research Society, Multivariate Statistics Branch.
赵志文，毕利，张美丽．Poisson自回归模型的平稳性检验[J]．吉林大学学报理学版．2015．2：235-240．