Personal information（个人基本信息）
Ph.D，Associate Professor
Tel: +86 13861579656
Email: hyitzh@hyit.edu.cn
Office: Room 11311, Building 11, Meichenglu Campus, Huaiyin Institute of Technology.
Education & Experience(教育工作经历）
2016—Now Associate Prof., Huaiyin Institute of Technology, China
2015–2020 Ph.D.,Chung Hua University, Taiwan, China
2010–2016 Lecturer, Huaiyin Institute of Technology, China
2007-2008 Master, University of Abertay Dundee, UK
2004–2010 Teaching Assistant, Huaiyin Institute of Technology, China
Research Fields（主要研究领域）
Dr. Zhou’s current research interests mainly lie in the fields of Data Mining, Machine Learning, and Artificial Intelligence. She is doctoral supervisor of Chung Hua University in Taiwan, master supervisor of Huaiyin Institute of Technology, member of the outstanding teacher team of Qinglan Engineering in Jiangsu Province, and top talent of "533 Talents Project" in Huai'an City. She has participated in 1 national project as the main author, presided over 1 provincial project, 2 municipal projects and participated in more than 10 projects. She has published 9 papers (3 SCI, 4 EI , 2 Chinese core) as the first author. She was awarded 3 Municipal Science and Technology Progress Awards, 1 Municipal Natural Science Excellent Academic Paper Award. She has been authorized 12 invention patents, 3 utility model patents, and 2 software copyrights.
Selected Publications（主要科研成果）
1. Zhou H, Yu K M, Hsu H P. Hybrid Modeling Method for Soft Sensing of Key Process Parameters in Chemical Industry[J]. Sensors and Materials, 2021.8.17, 33(8): 2789-2801(DOI:10.18494/SAM.2021.3436)
2. Zhou H, Yu K M, Chen Y C, et al. A Hybrid Feature Selection Method RFSTL for Manufacturing Quality Prediction Based on a High Dimensional Imbalanced Dataset[J]. IEEE Access, 2021, 9: 29719-29735 (DOI:10.1109/ACCESS.2021.3059298)
3. Hong Z, Kun-Min Y. Research on Spatio-Temporal Association Mode and Mobile Object Behavior Pattern Mining Based on Taxi Track Data under Big Data Background[J]. Journal of Advanced Oxidation Technologies, 2018, 21(2)(DOI:10.26802/jaots.2018.12650).
