Qr code
中文
Liu Huan

Associate professor
Master Tutor


Honors and Titles : Reward-Gainers of the Excellent PhD Dissertations, China University of Geosciences; National Scholarship of Graduate Student, Chinese Ministry of Education; National Scholarship of Undergraduate Student, Chinese Ministry of Education
Gender : Male
Date of Birth : 1989-02-20
Alma Mater : China University of Geosciences (Wuhan)
Education Level : Faculty of Higher Institutions
Degree : Doctoral Degree in Engineering
Status : Employed
School/Department : School of Automation
Date of Employment : 2018-07-01
Discipline : Measurement and control technology and instrument automation
Business Address : Room 103, Institute of Geophysics & Geomatics
Room 809, School of Automation

Contact Information : 027-67883097
Email :
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Personal Profile


ABOUT ME

Huan Liu received the Ph.D. degree with Geodetection and Information Technology, Institute of Geophysics & Geomatics, China University of Geosciences, Wuhan, China, in 2018. From 2016 to 2017, he was a joint training Ph.D. student with Electrical Engineering and Computer Science, School of Engineering, University of British Columbia, Kelowna, Canada. 

He is currently an Associate Professor with the School of Automation, China University of Geosciences, Wuhan, China. He has been involved in developing intelligent geophysical instruments, especially, the proton magnetometer and the Overhauser magnetometer. His research interest lies in intelligent geophysical instrumentation, weak signal processing, data mining and machine learning applications with the focuses on weak magnetic detection and nondestructive testing.  He is a member of IEEE, SPIE, CAA, respectively, and a committee member of the IEEE Instrumentation and Measurement Society (IMS) Technical Committee on “Environmental Measurements (TC-18).

EDUCATION

2012.09 - 2018.06,  Doctor of Philosophy,  China University of Geosciences, Wuhan, China

2016.09 - 2017.09,  Joint Training Student,  University of British Columbia, Kelowna, BC, Canada

2008.09 - 2012.06,  Bachelor of Engineering,  China University of Geosciences, Wuhan, China

RESEARCH EXPERIENCE

2018.07 - Present,   Associate Professor School of Automation, China University of Geosciences, Wuhan, China

2016.09 - 2017.09,  Research Assistant,  Intelligent Sensing, Diagnostic and Prognostic Research Laboratory, Kelowna, BC, Canada

2014.09 - 2018.06,  Research Assistant,  Advanced Intelligent Geophysical Instrumentation Research Laboratory, Wuhan, China

2012.09 - 2014.08,  Research Assistant,  Science and Technology on Near-Surface Detection Laboratory, Wuxi, China

RESEARCH GRANT

2020.01 - 2022.12,  PI,  National Natural Science Foundation of China

2019.01 - 2020.12,  PI,  Foundation of Science and Technology on Near-Surface Detection Laboratory

2018.12 - 2021.12,  PI,  Foundation of the National Key R&D Program of China

2018.07 - 2021.07,  PI,  Foundation of China University of Geosciences

2013.01 - 2014.12,  PI,  Foundation of Institute of Geophysical and Geochemical Exploration

PROFESSIONAL MEMBERSHIP

2020 - Present,  Member,  Chinese Association of Automation (CAA)

2018 - Present,  Member,  IEEE Instrumentation and Measurement Society (IEEE IMS)

2018 - Present, Member,  Society of Photo-Optical Instrumentation Engineers (SPIE)

2015 - 2018,  Student Member,  IEEE Instrumentation and Measurement Society (IEEE IMS)

SERVICE TO THE PROFESSION

2020.05.24 - 2020.05.27,  Co-organizer,  Special Issue 3,  IEEE International Instrumentation & Measurement Technology Conference

2019.05 - Present,  Member,  Technical Committee on Environmental Measurements (TC-18),  IEEE Instrumentation and Measurement Society

2019.10 - Present,  Editorial Board Member,  American Journal of Electrical and Computer Engineering

2018.06 - Present,  Reviewer,  IEEE Transactions on Industrial Electronics,  IEEE Transactions on Instrumentation and Measurement,  IEEE Transactions on Reliability,  IEEE Sensors Journal,  Measurement,  Information Fusion

PUBLICATIONS

Journal

[1]    Huan Liu, Shuo Liu, Zheng Liu, et al. Data-driven approaches for characterization of delamination damage in composite materials, IEEE Transactions on Industrial Electronics, 2020.

[2]    Huan Liu, Hongpeng Wang, Junchi Bin, et al. Efficient noise reduction for the free induction decay signal from a proton precession magnetometer with time-frequency peak filtering, Review of Scientific Instruments, 91(4): 045101, 2020. 

[3]    Huan Liu, Xiaobin Wang, Hongpeng Wang, et al. Magneto-inductive magnetic gradient tensor system for detection of ferromagnetic objects, IEEE Magnetics Letters, 11(1): 8101205, 2020.

[4]    Huan Liu, Xiaobin Wang, Junchi Bin, et al. Magnetic gradient full-tensor fingerprints for metallic objects detection of a security system based on anisotropic magnetoresistance sensor arrays, AIP Advances, 10(1): 015329, 2020.(Editor’s Picks,Featured Articles

[5]    Huan Liu, Wang Luo, Haobin Dong, et al. Design and implementation of a tuning-matching framework for a high-sensitivity broad band proton precession magnetometer sensing coil, IEEE Sensors Journal, 20(1): 127-134, 2020.

[6]    Huan Liu, Haobin Dong, Jian Ge, et al. High-precision sensor tuning of proton precession magnetometer by combining principal component analysis and singular value decomposition, IEEE Sensors Journal, 19(21): 9688-9696, 2019.

[7]    Huan Liu, Junchi Bin, Haobin Dong, et al. Adaptive pre-whiten filtering for the free induction decay transversal signal in weak magnetic detection, Review of Scientific Instruments, 90(10): 104502, 2019. 

[8]    Huan Liu, Haobin Dong, Jian Ge, et al. Efficient performance optimization for the magnetic data readout from a proton precession magnetometer with low rank constraint, IEEE Transactions on Magnetics, 55(8): 9300104, 2019. 

[9]    Huan Liu, Zheng Liu, Shuo Liu, et al. A nonlinear regression application via machine learning techniques for geomagnetic data reconstruction processing, IEEE Transactions on Geoscience and Remote Sensing, 57(1): 128-140, 2019.

[10]  Huan Liu, Zheng Liu, Haobin Dong, et al. Recurrent neural network-based approach for sparse geomagnetic data interpolation and reconstruction, IEEE Access, 7(1): 33173-33179, 2019.

[11]  Huan Liu, Haobin Dong, Jian Ge, et al. A fusion of principal component analysis and singular value decomposition based multivariate denoising algorithm for free induction decay transversal data, Review of Scientific Instruments, 90(3): 035116, 2019. 

[12]  Huan Liu, Zheng Liu, Brandon Taylor, et al. Matching pipeline In-line inspection data for corrosion characterization, NDT & E International, 101: 44-52, 2019.

[13]  Huan Liu, Haobin Dong, Jian Ge, et al. Apparatus and method for efficient sampling of critical parameters demonstrated by monitoring an Overhauser geomagnetic sensor, Review of Scientific Instruments, 89(12): 125109, 2018. 

[14]  Huan Liu, Haobin Dong, Zheng Liu, et al. A comprehensive study on the weak magnetic sensor character of different geometries for proton precession magnetometer, Journal of Instrumentation, 13(9): T09003, 2018. 

[15]  Huan Liu, Haobin Dong, Zheng Liu, et al. Application of Hilbert-Huang decomposition to reduce noise and characterize for NMR FID signal of proton precession magnetometer, Instruments and Experimental Techniques, 61(1): 55-64, 2018. 

[16]  Huan Liu, Haobin Dong, Zheng Liu, et al. Noise characterization for the FID signal from proton precession magnetometer, Journal of Instrumentation, 12(7): P07019, 2017. 

[17]  Huan Liu, Haobin Dong, Zheng Liu, et al. Construction of an Overhauser magnetic gradiometer and the applications in geomagnetic observation and ferromagnetic target localization, Journal of Instrumentation. 12(10): T10008, 2017. 

[18]  Huan Liu, Haobin Dong, Jian Ge, et al. An improved tuning control algorithm based on SVD for FID signal, Journal of Advanced Computational Intelligence and Intelligent Informatics, 21(1): 133-138, 2017.

[19]  Huan Liu, Haobin Dong, Jian Ge, et al. Research on a secondary tuning algorithm based on SVD & STFT for FID signal, Measurement Science and Technology, 27(10): 105006, 2016. 

[20]  Shuo Liu, Huan Liu*, Vijay John, et al. Enhanced situation awareness through CNN-based deep multi-modal image fusion, Optical Engineering, 59(5): 053103, 2020.  

[21]  Haobin Dong, Huan Liu*, Jian Ge, et al. A high-precision frequency measurement algorithm for FID signal of proton magnetometer, IEEE Transactions on Instrumentation and Measurement, 65(4): 898-904, 2016.

[22]  Yuefei Huang, Jian Ge, Haobin Dong and Huan Liu*. An automatic wide-band 90o phase shifter for optically pumped cesium magnetometers, IEEE Sensors Journal, 17(23): 7928-7934, 2017. 

[23]  Cheng Zhang, Haobin Dong, Jiahao Wang, Jian Ge, Huan Liu*, et al. A low error rate BCH-based encoder-decoder approach for electromagnetic measurement while drilling system, IEEE Access, 7(1): 34599-34608, 2019. 

Conference

[1]  Huan Liu, Haobin Dong, Jian Ge, et al. A new F-PCASVD based multivariate denoising algorithm for FID transversal data, IEEE International Conference on Instrumentation and Measurement Technology (I2MTC), 1-6, 2019.

[2]  Huan Liu, Yihao Liu, Shuo Liu, et al. What can machine learning do for geomagnetic data processing? A reconstruction application, IEEE International Conference on Instrumentation and Measurement Technology (I2MTC), 1-6, 2018.

[3]  Huan Liu, Shuo Liu, Zheng Liu, et al. Prognostics of damage growth in composite materials using machine learning techniques, IEEE International Conference on Industrial Technology (ICIT), 1042-1047, 2017.

[4]  Huan Liu, Haobin Dong, Jian Ge, et al. A high-precision proton magnetometer based on a multi-channel frequency measurement, IEEE International Conference on Instrumentation and Measurement Technology (I2MTC), 1-6, 2016.

[5]  Huan Liu, Haobin Dong. Research and developed of magnetic field gradient detector based on the nuclear Overhauser effect, IEEE International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 330-333, 2015.

Presentations

2019  IEEE I2MTC,Oral,Auckland,New Zealand

        • A new F-PCASVD based multivariate denoising algorithm for FID transversal data

2018  IEEE I2MTC,Poster,Houston,USA

        • What can machine learning do for geomagnetic data processing? A reconstruction application

        • A resonant cavity based on birdcage coil for Overhauser geomagnetic sensor

2017  IEEE ICIT,Oral,Toronto,Canada

        • Prognostics of damage growth in composite materials using machine learning techniques

        • Experimenting capacitive sensing techniques for structural integrity assessment

2016  ITCA,Oral,Tokyo,Japan

        • An improved tuning control algorithm based on SVD for FID signal

2016  IEEE I2MTC,Poster,Taibei,Taiwan,  China

        • A high precision proton magnetometer based on a multi-channel frequency measurement

2015  IEEE IMCCC,Poster,Qinhuangdao,China

        • Research and developed of magnetic field gradient detector based on the nuclear Overhauser effect

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