师资队伍
师资队伍
当前位置: 首页>>师资队伍>>正文

    于洋

    2023-11-06   点击:[]

    于洋,男,1989年7月出生,理学博士,讲师,硕士生导师,中共党员。

    教育经历

    2022年12月获德国杜伊斯堡埃森大学计算机科学理学博士学位

    2018年6月获德国杜伊斯堡埃森大学嵌入式系统工程理学硕士学位

    研究方向

    普适计算,多模态感知,非视域感知,人工智能。

    代表性论文

    [1] Y. Yu and T. Weis, “A privacy-protecting indoor emergency monitoring system based on floor vibration,” in Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers, in UbiComp-ISWC ’20. New York, NY, USA: Association for Computing Machinery, Sep. 2020, pp. 164–167.

    [2] Y. Yu, O. Carl, S. Hussain, W. Hou, and T. Weis, “A Privacy-Protecting Step-Level Walking Direction Detection Algorithm based on Floor Vibration,” IEEE Sensors Journal, pp. 1–1, 2022.

    [3] Y. Yu, X. Qin, S. Hussain, W. Hou, and T. Weis, “Pedestrian Counting Based on Piezoelectric Vibration Sensor,” Applied Sciences, vol. 12, no. 4, Art. no. 4, Jan. 2022.

    [4] Y. Yu, M. Waltereit, V. Matkovic, W. Hou, and T. Weis, “Deep Learning-Based Vibration Signal Personnel Positioning System,” IEEE Access, vol. 8, pp. 226108–226118, 2020.

    [5] S. Hussain et al., “Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach,” Expert Systems with Applications, vol. 209, p. 118119, Dec. 2022.

    [6] S. Hussain, Y. Yu et al., “IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19,” Applied Sciences, vol. 11, no. 8, Art. no. 8, Jan. 2021.

    [7] S. Hussain A. Muhammad, Y. Yu W. Junaid Abdul, K. Akmal, et al., “Ensemble Deep Learning Framework for Situational Aspects-Based Annotation and Classification of International Student’s Tweets during COVID-19,” Computers, Materials & Continua, vol. 75, no. 3, pp. 5355–5377, Jun. 2023.

    联系方式

    邮箱:yyu@ zzu.edu.cn

    个人主页:www.yangyu.space


    欢迎对创造创新有热情,有动手能力和执行力,对普适计算、人工智能、多模态感知方向感兴趣的同学报考研究生。


    上一条:苏昊
    下一条:金钊

    关闭

地址:郑州市高新区科学大道100号      邮编:450001 联系电话:0371-67783108

Copyright  School of Computer and Artificial Intelligence  of ZZU 

 版权所有:郑州大学计算机与人工智能学院、软件学院