Qi Wang
Associate Professor
School of life sciences
E-mail:wangqitju@163.com
Research Interests
1. Electrical tomography
2．Intelligent information processing
3．Embedded systems and applications
Education
September 2009- June 2012PhD in Control Science and Engineering,
Department of Automation,
School of Electrical and Automation Engineering,
Tianjin University.
September 2007-June 2009Master in Detection Technology and Automatic Equipment.
Department of Automation,
School of Electrical and Automation Engineering,
Tianjin University.
September 2003-Jume 2007Bachelor in Automation.
Department of Automation,
School of Electrical and Automation Engineering,
Tianjin University.
Work Experiences
Associate Professor
Tianjin Polytechnic University
2015.12-now
Deputy Director
Electrical TomographyInstitute in Tianjin Polytechnic University
2014.4-now
Lecture
Tianjin Polytechnic University
2012.07-2015.12
Courses taught:
1．Photoelectric detection technology and system(for undergraduate students)
2．Medical imaging technology(for undergraduate students)
3.Advanced medical imaging technology(for postgraduate students)
Research Interests:
1. The information detection and intelligent processing
2. Embedded systems and applications
3. Modern sensor and intelligent instrument
4. Biological sensing technology
Research Experiences
Research on Image Reconstruction Theory of Dynamic Three-dimensional Electrical Impedance Tomography based on Compressive Sensing for Lung Injury (National Natural Science Foundation of China)
3D Dynamic Impedance Image Reconstruction for Lung Injury Monitoring (Tianjin Research Program of Application Foundation and Advanced Technology)
Research on image reconstruction theory of dynamic three-dimensional electrical impedance tomography for lung injury (Research Fund for the Doctoral Program of Higher Education of China)
Research on geometric modeling of three dimensional braided carbon fiber composites based on mechanical analysis (Science & Technology Fund Planning Project of University in Tianjin)
Publications:
[1] Wang Qi, Zhang Pengcheng, Wang Jianming, Chen Qingliang, Li Xiuyan, DuanXiaojie, Cui Ziqiang and Wang Huaxiang, Patch based sparse reconstruction for electrical impedance tomography, Sensor Review, 2017, 37(3):257-269. （SCI检索）
[2] Wang Qi, Zhang Ronghua, Wang Jianming, Jiao Yanan, Yang Xiaohui and Ma Ming, An Efficient Method for Geometric Modeling of 3D Braided Composites, Journal of Engineered Fibers and Fabrics, 2016, 11(4): 76-87. （SCI检索）
[3] Wang Qi, LianZhijie, Wang Jianming, Chen Qingliang, Sun Yukuan, Li Xiuyan, DuanXiaojie, Cui Ziqiang and Wang Huaxiang, Accelerated reconstruction of electrical impedance tomography images via patch based sparse representation, Review of Scientific Instruments, 2016, 87(11): 114707. （SCI 检索）
[4] Cui Ziqiang, Wang Qi,XueQian, FanWenru, Zhang Lingling, Cao Zhang, Sun Benyuan, WangHuaxiang, Yang, Wuqiang, A review on image reconstruction algorithms for electrical capacitance/resistancetomography, Sensor Review, 2016, 36(4):429-445.（SCI检索）
[5]Zhang Ronghua, Wang Qi, Wang Huaxiang, Zhang Mu and Li Hongli, Data fusion in dual-mode tomography for imaging oil-gas two-phase flow, Flow Measurement and Instrumentation, 37: 1-11, 2014. (SCI检索)
[6]Wang Qi, Yang Chengyi, Wang Huaxaing, Cui Ziqiang, Gao Zhentao, Online monitoring of gas-solid two-phase flow based on projected CG method and electrical capacitance tomography, Particuology, 2013, 11(2): 204-215. (SCI检索)
[7] Wang Qi, Wang Huaxiang, Cui Ziqiang, Yang Chengyi, Reconstruction of electrical impedance tomography (EIT) images based on the expectation maximum (EM) method, ISA Transactions, 2012, 51(6): 808-820. (SCI检索)
[8] Wang Qi, Wang Huaxaing, Zhang Ronghua, Wang Jinhai, Zheng Yu, Cui Ziqiang and Yang Chengyi, Image reconstruction based on L1 regularization and projection methods for electrical impedance tomography, Review of Scientific Instruments, 2012, 83(10): 104707. (SCI检索)
[9]Wang Qi, Wang Huaxiang, Cui Ziqiang, Xu Yanbin, Yang Chengyi, Fast reconstruction of electrical resistance tomography (ERT) images based on the projected CG method, Flow Measurement and Instrumentation, 2012 27:37-46. (SCI检索)
[10]Wang Qi and Wang Huaxiang, Two-phase flow regime identification based on cross-entropy and information extension methods for computerized tomography (CT), IEEE Transactions on Instrumentation and Measurement, 2011, 60(2): 488-495. (SCI检索)
[11] Wang Qi, Wang Huaxiang and Xin Shan, Suitability of an MRMCE (multi-resolution minimum cross entropy) algorithm for online monitoring of a two-phase flow, Measurement Science and Technology, 2011, 22(10): 104010. (SCI检索)
[12]Wang Qi and Wang Huaxiang, A modified conjugate gradient method based on the Tikhonov system for computerized tomography (CT), ISA Transactions, 2011, 50(2): 256-261. (SCI检索)
[13]Wang Qi, Wang Huaxiang and Yan Yong, Fast reconstruction of computerized tomography images based on the cross-entropy method, Flow Measurement and Instrumentation, 2011, 22(4): 295-302. (SCI检索)
Honors:
2015, “131” Innovative Talents, Issued by Tianjin municipal education commission
2011, PhD graduate academic newcomer award, Issued byChinese Ministry of Education