张通达Google Scholar ResearcherID

机械与能源工程系
斯坦福大学电子工程系的博士，2011年获得清华大学自动化学士学位，同时荣获清华大学优秀毕业生，并于2013年及2016年分别获得了斯坦福大学电子工程硕士学位和博士学位。在斯坦福大学期间曾参与了斯坦福大学PBL Lab（斯坦福问题、项目、产品、工艺、人 学习实验室），AIR lab（斯坦福智能环境研究实验室），CDR CARS（斯坦福设计研究中心） ，CHIME lab（斯坦福人类和媒体交互实验室）等多个实验室或者研究中心的研究，例如基于智能家居传感器拓扑模型以及运动热点的人类行为捕捉、基于脑电波的国际会议效率以及专注度的评价模型、全球首个机动车自动驾驶仿真轨道设计与搭建等多个项目，并以主要合伙人的身份创立多家公司。未来的研究方向研究方向主要为基于数据挖掘、机器学习的行为识别与理解在智能环境、金融、工业等方面的研究。
个人简介
个人简介

研究领域◆ 基于数据挖掘和机器学习的行为识别与理解
◆ 基于人工智能的系统建模与优化
◆ 基于大数据的制造系统关系性能分析与决策

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学术成果 查看更多◆ [Journal Paper] Tongda, Zhang, R., Fruchter and M., Frank, “Are They Paying Attention? A Model-Based Method to Identify Individuals’ Mental States”, Computer, IEEE, 2017(http://ieeexplore.ieee.org/abstract/document/**/)
◆ [Dissertation] Zhang, Tongda. Pattern Learning in Smart Homes and Offices Using Motion Sensor and Mind Wave Data: Unsupervised Approaches. Diss. Stanford University, 2016.(https://searchworks.stanford.edu/view/**)
◆ [Journal Paper] Tongda Zhang, W. Fu, J. Ye, and M. Fischer, “Learning movement patterns of the occupant in smart home environments: an unsupervised learning approach.”, Journal of Ambient Intelligence and Humanized Computing:1-14 2016 (http://link.springer.com/article/10.1007/s12652-016-0367-2)
◆ [Book Chapter] Mohamed E., Tongda Zhang, Wilfried Philips and Hamid Aghajan, A Data Fusion Approach for Identifying Lifestyle Patterns in Elderly Care, Active and assisted living: technologies and applications, ISBN:978-1-84919-987-2, IET 2016(http://www.theiet.org/resources/books/healthcare/acassliving.cfm)
◆ [Journal Paper] Sun Xiao, Tongda Zhang, Yueting Chai and Yi Liu, “Localized Ambient Solidity Separation (LASS) Algorithm Based Computer User Segmentation”, Computational Intelligence and Neuroscience,2015,Volume 2015 (2015), Article ID 829201 (http://dx.doi.org/10.1155/2015/829201)
◆ [Conference Paper] Johns, M., Miller, D.B., Sun, A.C., Baughman, S., Zhang, T., & Ju, W. “The Driver has Control: Exploring Driving Performance with Varying Automation Capabilities”, Proc. Driving Assessment 15 June 22-25, 2015 Salt Lake City, UT(http://drivingassessment.uiowa.edu/sites/default/files/DA2015/papers/060.pdf)
◆ [Journal Paper] Tongda Zhang, Xiao Sun, Yueting Chai and Hamid Aghajan, “A look at task-switching and multi-tasking behaviors: From the perspective of the computer usage among a large number of people”, Computers in Human Behavior}, 2015, DOI: 10.1016/j.chb.2015.03.012 (http://www.sciencedirect.com/science/article/pii/S1983)
◆ [Journal Paper] Tongda Zhang, K.B. Wong and Hamid Aghajan, “Concurrent activation events based trajectory propagation in smart environments ”, Journal of Ambient Intelligence and Humanized Computing, Springer, 2014, DOI: 10.1007/s12652-014-0240-0 (http://link.springer.com/article/10.1007%2Fs12652-014-0240-0)
◆ [Book Chapter] K.B. Wong, Tongda Zhang, and Hamid Aghajan, “Data Fusion with a Dense Sensor Network for Anomaly Detection in Smart Homes”, Human Behavior Understanding in Networked Sensing, Springer, ISBN:978-3-319-10806-3 (Print) 978-3-319-10807-0 (Online), 2014(http://link.springer.com/book/10.1007%2F978-3-319-10807-0)
◆ [Journal Paper] Tongda Zhang, Xiao Sun, Yueting Chai and Hamid Aghajan, “Human Computer Interaction Activity Based User Identification ”, International Journal of Machine Learning and Computing, Vol. 4, No. 4, August 2014. DOI: 10.7763/IJMLC.2014.V4.436 (http://www.ijmlc.org/papers/436-M0013.pdf)
◆ [Journal Paper] K.B. Wong, Tongda Zhang, and Hamid Aghajan, “Extracting Patterns of Behavior from a network of Binary Sensors”, Journal of Ambient Intelligence and Humanized Computing, Springer}, 2014, DOI:10.1007/s12652-014-0246-7 (http://link.springer.com/article/10.1007/s12652-014-0246-7)
◆ [Book Chapter] K.B. Wong, Tongda Zhang, and Hamid Aghajan, “Inference of Wellness Indicators and Patterns of Behavior in Elderly Care Applications using Long-Term Sensor Network Observations”, Sensor Networks for Sustainable Development, CRC Press}, ISBN:64, 2014(http://www.crcpress.com/product/isbn/64)
◆ [Journal Paper] Tongda Zhang, Haomiao Jiang, Zhouxiao Bao, and Yingfeng Zhang, “Characterization and Edge Sign Prediction in Signed Networks,” Journal of Industrial and Intelligent Information, Vol. 1, No. 1, pp. 19-24, March 2013. doi: 10.12720/jiii.1.1.19-24(http://www.jiii.org/uploadfile/2013/0510/20**5601.pdf)
◆ [Journal Paper] Zhang, Y., Xu, F., Zhang, Tongda. and Wu, C., “Application of electro-mechanical impedance sensing technique for online aging monitoring of rubber” Intelligent Automation & Soft Computing,18.8 (2012): 1101-1109(http://www.tandfonline.com/doi/abs/10.1080/**.2008.**)
◆ [Book Chapter] Zhang, Yuxiang, Liuyi Ma, Tongda Zhang, and Fuhou Xu, “Tracking of Human Arm Based on MEMS Sensors”, Computer and Computing Technologies in Agriculture IV, pp. 597-606. Springer Berlin Heidelberg, 2011 DOI:10.1007/978-3-642-18336-2-73 ISBN:55(http://link.springer.com/chapter/10.1007/978-3-642-18336-2_73)
◆ [Conference Paper] Tongda Zhang, Liuyi Ma “Natural interaction technology based on the union of hand and writing-pen”, The 1st International Conference on Computer Technology and Application and Computer Education of the University and college (ICTAE 2010)2010



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