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白玉廷
部门：北京工商大学计算机与信息工程学院自动化系
职称：讲师
教育背景：
2015.09-2019.06 北京理工大学 控制科学与工程 博士
2012.09-2015.06 北京工商大学 管理科学与工程（工学） 硕士
2008.09-2012.07 北京工商大学 自动化（工科实验班） 学士
Email: baiyuting@btbu.edu.cn
Website:
https://www.researchgate.net/profile/Yu_Ting_Bai
http://xueshu.baidu.com/scholarID/CN-BF8YQKLJ
研究方向：多源信息感知与融合、机器学习、决策理论与方法
主要成果：发表论文20篇，其中以第一作者发表论文9篇（SCI/SSCI/EI论文8篇，中文核心1篇），授权发明专利2项，授权实用新型专利1项，公开专利3项，授权软件著作权6项。
Yuting Bai, born in 1989. He received the Ph.D. degree in control science and engineering from Beijing Institute of Technology, the M.S. degree in management science and engineering from Beijing Technology and Business University, and the B.S. degree in automation from Beijing Technology and Business University. He is now a lecturer in Beijing Technology and Business University. His research mainly covers information fusion, machine learning and decision-making method.
以第一作者发表论文：
[1] Spatio-temporal prediction for the monitoring-blind area of industrial atmosphere based on the fusion network[J]. International Journal of Environmental Research and Public Health, 2019, 16(20): 3788.
[2] Compound autoregressive network for prediction of multivariate time series[J]. Complexity, 2019: **.
[3] Expert decision support technique for algal bloom governance in urban lakes based on text analysis[J]. Water, 2017, 9(5): 308.
[4] A novel group decision-making method based on sensor data and fuzzy information[J]. Sensors, 2016, 16(11) :1799.
[5] Continuous estimation of motion state in GPS/INS integration based on NARX neural network[C]// 37th China Control Conference, 2018: 4179-4184.
[6] The decision-making system design for the emergence governance of water bloom in reservoirs[C]// 5th International Conference on Environmental Science and Information Application Technology, 2015: 123-127.
[7] The research of decision-making method for multi-objective in water bloom emergency governance based on Vague set theory[J]. Journal of Computational Information Systems, 2014, 10(5): 2099-2106.
[8] 基于熵权灰关联的水华治理多层次决策方法[J]. 计算机仿真, 2014, (6): 251-255.
[9] The research of water quality information mining based on Pareto law and information entropy[C]// International Conference on Computer Sciences and Applications, 2013: 723-727.
其他论文：
[1] Improvements of multihop localization algorithm for wireless sensor networks[J]. IEEE Systems Journal, 2018, (99):1-12.
[2] Cooperative localization with bounding constraints in mobile wireless sensor networks[J]. IEEE Access, 2018, 6:47011-47025.
[3] 3D reconstruction of pedestrian trajectory with moving direction learning and optimal gait recognition[J]. Complexity, 2018, (4):1-10.
[4] Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusion[J]. International Journal of Modelling, Identification and Control, 2018, 30(4):261-272.
[5] Unbiased estimation localization for wireless sensor networks[C]// 30th China Control and Decision Conference, 2018: 6521-6524.
[6] The application of information retrieval in governance decision of water bloom based on decision tree and CPN neural network[J]. Advanced Materials Research, 2014, 1010: 885-890.