School of Electrical and Information Engineering
Professor
无
Detection Technology and Automatic Equipment
15810225895
yejiamin_19@tju.edu.cn
26D-313, 92 Weijin Road, Tianjin, China
300072
I am a Professor in Detection Technology and Automatic Equipment at Tianjin University in China. I obtained my PhD in Detection Technology and Automatic Equipment at Tianjin University in Tianjin in February 2009. I then worked in department of automation at Tsinghua University as a postdoctoral researcher. In August 2011, I joined the University of Leeds in UK, for my second postdoc. After returning to China, I joined the institute of Engineering Thermophysics, Chinese Academy of Sciences as an Associate Professor in 2013. From 2018 to 2019, I was an academic visitor at Carnegie Mellon University in USA. After that, I joined Tianjin University in October 2019 as a Professor.
I have published more than 30 peer reviewed journal papers in the field of electrical tomography and its applications. From 2013, I have published 11 papers on Measurement Science and Technology (MST), including two cover papers and one highlight paper. I review papers for more than 10 journals, including MST and IEEE Transactions on Instrumentation and Measurement. In 2016, I was an “outstanding reviewer” of IEEE Transactions on Instrumentation and Measurement. Now I am organizing a special issue of “advances in electrical capacitance tomography” as a Guest Editor for an MDPI (Multidisciplinary Digital Publishing Institute) open journal “Electronics”.
- Papers
- [1] Evaluation of electrical capacitance tomography sensor based on the coupling of fluid field and electrostatic field
- [2] Evaluation of electrical resistance tomography with voltage excitation compared with electrical capacitance tomography
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- [3] Image reconstruction for electrical capacitance tomography based on sparse representation
- [4] Investigation of spatial resolution of electrical capacitance tomography based on coupling simulation
- [5] Electrostatic Charge Distribution-Based Direct Velocity Tomography Method for Gas–Solid Two-Phase Flow