HAO Guocheng

 

Hao Guocheng, PhD, professor, doctoral supervisor. 2016-2017: visiting scholar in Duke University; 2013-2014: domestic young core visiting scholar of University of Science and Technology of China; 2013: academic visiting exchange in Siberia Federal University/Tomsk, Russian Academy of Sciences. His main research interests are intelligent equipment, radar signal processing, non-smooth signal analysis, deep learning, earth natural pulsed electromagnetic field methods and instrumentation development. He has presided over many funds and projects, published several SCI/EI papers and been granted many patents. He is a reviewer of Signal Processing, IEEE TIM, GRSL, and IEEE JSTARS, and a senior member of the Chinese Institute of Electronics.

 

Contact Information:

Email: haogch @cug.edu.cn

 

 

Main Experience:

[1] 2016/03-2017/03, Visiting scholar, Department of Mathematics, Duke University, supervisor: Ingrid Daubechies

[2] 2015/03-2019/05, Postdoctoral, Department of Geo-Information Science and Technology, School of Geophysics and Geomatics, China University of Geosciences (Wuhan);

[3] 2008/09-2014/12, Doctor of Engineering, Geo-detection and Information Technology, China University of Geosciences (Wuhan);

[4] 2001/09-2007/06, Master of Engineering, Cartography and Geographical Information Engineering, China University of Geosciences (Wuhan);

[5] 1995/09-1999/06, Bachelor of Engineering, Communication Engineering, China University of Geosciences (Wuhan);

[6] 2013/09-2014/06, Visiting scholar, University of Science and Technology of China;

[7] 2013/05-2013/06, Studied in Siberia Federal University /Tomsk Branch, Russian Academy of Sciences.

 

Research Interests:

[1] Intelligent monitoring equipment and systems, environmental data monitoring instruments, geophysical electromagnetic instruments

[2] Intelligent signal processing, such as radar signals, geophysical signals and other types of non-stationary signal processing and analysis

[3] Development and application of ENPEMF equipment for natural pulsed electromagnetic field

[4] Electronic countermeasures, jamming resource scheduling strategies, intelligent big data, deep learning class algorithms, **simulators

 

Admissions: The group welcomes undergraduate and postgraduate students who are conscientious, hard-working and united to join us.

[1] Master: the admission quota is 5; program: Information and Communication Engineering (Academic Master) or Electronic Information (Professional Master).

[2] Doctor: the admission quota is 1 (including assessment, MD-PhD based and BD-PhD doctor); program: Geological equipment engineering (the first-level discipline is geological resources and geological engineering). 

[3] Postdoctoral: There is no quota limit. For the research direction, please refer to the doctoral admission and research programs, and the specific topics and treatment need to be discussed in advance and can be attached to postdoctoral mobile stations: geological resources and geological engineering, geophysics, control science and engineering.

 

Publications:

[1] Guo Juan, Hao Guocheng*, Yu Jiantao, Wang Panpan, Jin Yarui. A novel solution for improved performance of Time-frequency concentration[J]. Mechanical Systems and Signal Processing, 2022, DOI: 10.1016/j.ymssp.2022.109784.

[2] Tan Songyuan, Hao Guocheng*, Guo Juan, Yu Jiantao, Wang Panpan. High Quality Signal Denoising and Deep Feature Representation in Strong Noise Environment and Its Application to the ENPEMF[J]. IEEE Geoscience and Remote Sensing Letters, 2022, DOI: 10.1109/LGRS.2022.3204667.

[3] Hao Guocheng*, Guo Juan, Zhang Wei, Chen Yunliang, Yuen David A. High-precision chaotic radial basis function neural network model: Data forecasting for the Earth electromagnetic signal before a strong earthquake[J]. Geoscience Frontiers, 2022, 13(1): 370-379.

[4] Hao Guocheng, Zhang Bichao, Guo Juan, Zhang Jiabing, Shi Guangyao, Wang Panpan, Zhang Wei. A High Quality Algorithm of Time-Frequency Analysis and Its Application in Radar Signal Target Detection via LMSCT [J]. Journal of Shanghai Jiaotong University, 2022, 56(2): 231-241.

[5] Hao Guocheng, Feng Siquan, Wang Wei, Ling Siqi, Tan Songyuan. High Quality Time-frequency Analysis via Normalized Generalized Warblet-WVD [J]. Acta Automatica Sinica, 2022, 48(10): 2526-2536.

[6] Hao Guocheng*, Wang Panpan, Hu Xiangyun*, Guo Juan, Wang Guocheng, Tan Songyuan. Time-frequency characteristics and trend feature of The ENPEMF signal before Lushan Mw 6.6 earthquake via DE-DDTFA method[J]. Natural Hazards, 2021, 110(3): 1869-1885.

[7] Hao Guocheng*, Guo Juan, Bai Yuxiao, Tan Songyuan, Wu Min. Novel Method for Non-stationary Signals Via High-Concentration Time-Frequency Analysis Using SSTFrFT[J]. Circuits, Systems, and Signal Processing, 2020, 39(11): 5710-5728.

[8] Hao Guocheng, Guo Juan, Tan Songyuan, Zeng Zuoxun. Intensity Trend Forecasting of the ENPEMF Signal Before Earthquake Based on Chaotic Parameters Optimized RBF Algorithm [J]. Journal of Northeastern University, 2020, 41(12):1692-1698.

[9] Hao Guocheng, Tan Fan, Hu Xiangyun*, Bai Yuxiao, Lv Yanwei. A Matching Pursuit-Based Method for Cross-Term Suppression in WVD and Its Application[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(8): 1304-1308.

[10] Hao Guocheng, Tan Fan, Cheng Zhuo, Wang Wei, Feng Siquan, Zhang Weimin. Time-frequency Analysis of BGabor-NSPWVD Algorithm with Strong Robustness and High Sharpening Concentration [J]. ACTA AUTOMATICA SINICA, 2019, 45 (03):566-576.

[11] Hao Guocheng, Li Fei, Bai Yuxiao, Wang Wei. Time-frequency Analysis of Non-Stationary Signal Based on NDSST [J]. Geomatics and Information Science of Wuhan University, 2019, 44(06):941-948.

[12] Chen Juan, Hao Guocheng*, Liu Qinghuo. Analyzing tunable terahertz grating based on hybrid graphene-metal structure by using the HIE-FDTD method[J]. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2018, 31(5), DOI: 10.1002/jnm.2325.

[13] Hao Guocheng, Bai Yuxiao, Liu Hui, Zhao Juan, Zeng Zuoxun. The Earth’s natural pulse electromagnetic fields for earthquake time-frequency characteristics: Insights from the EEMD-WVD method[J]. Island Arc, 2018, 27(4): e12256. https://doi.org/10.1111/iar.12256.

[14] Guocheng Hao, Yuxiao Bai, Min Wu, Juan Zhao, Hui Liu. Time-frequency analysis of the Earth's natural pulse electromagnetic field before earthquake based on BSWT-DDTFA method [J]. Chinese Journal of Geophysics, 2018,61(10):4063-4074. 

[15] Chen Juan, Hao Guocheng, Liu Qinghuo. Using the ADI-FDTD Method to Simulate Graphene-Based FSS at Terahertz Frequency[J]. IEEE Transactions on Electromagnetic Compatibility, 2017, 59(4): 1218-1223.

[16] Hao Guocheng, Bai Yuxiao, Zhao Juan, Wu Min, Yang Yue. A receiving instruments of the Earth's natural pulse electromagnetic field and its data analysis via time-frequency method before an earthquake[C]. I2MTC2017-IEEE International Instrumentation and Measurement Technology Conference, Torino, Italy, 2017, 43-48. DOI: 10.1109/I2MTC.2017.7969654.

[17] Guocheng Hao, Zhongchang Chen, Juan Zhao, Zuoxun Zeng, Hui Liu, V.G.Sibgatulin, Fang Kang. Time-frequency analysis of the Earth's natural pulse electromagnetic field signal before and after the Lushan Ms 7.0 earthquake based on NSTFT-WVD transform [J]. Earth Science Frontiers, 2016, 23(01):276-286.

[18] Guocheng Hao, Ting Gong, Haobin Dong, V.G. Sibgatulin, Alexey Kabanov. Time-frequency characteristics and energy analysis of the Earth’s natural pulse electromagnetic fields based on ensemble empirical mode decomposition: The Lushan Ms 7.0 earthquake as an example [J]. Earth Science Frontiers, 2015, 22(05):231-238.

[19] Guocheng Hao, Haobin Dong, Zuoxun Zeng, Juan Zhao, KashikinV.B. Anomalies of Tropospheric Air Temperature as “Butterfly Pattern” before Earthquake [J]. Earth Science-Journal of China University of Geosciences, 2014, 39(12):1818-1830.

[20] Hao Guocheng, Wang Hongliang. Study on Signals Sources of Earth's Natural Pulse Electromagnetic Fields[C]. ISICA, 2012.

[21] Zhao Juan, Hao Guocheng, Zeng Zuoxun. Infrasonic Signal Observation through the Monitoring Network[C]. Applied Mechanics and Materials (AMM2014), Switzerland, 2014.

[22] Wang Hongliang, Dong Haobin, Hao Guocheng, Luo Yuansheng, Yu Zhihua. The study of FID signal processing algorithm of proton magnetometer based on SVD[J]. International Journal of Digital Content Technology and its Applications, 2012, 6(18): 139-147.

 

Scientific Research Programs:

[31]2022-2024: “Mechanism of deep characteristics of the Earth's natural pulsed electromagnetic field and multi-featured multi-parameter adaptive strong-motion monitoring model”, Natural Science Foundation of Hubei Province, PI

[30]2022-2023: “Circuit fault prediction simulation algorithm”, enterprise sponsored horizontal research, PI

[29]2022-2023: “Real-time circuit status monitoring algorithm”, enterprise sponsored horizontal research, PI

[28]2022-2023: “Engine fault monitoring and analysis software”, national defense horizontal research, PI

[27]2021-2022: “Cloud storage technology development”, enterprise sponsored horizontal research, PI

[26]2021-2022: “Radar radiation source behavior modeling and sensing tool (software)”, national defense horizontal research, PI

[25]2021-2022: “Integrated command system synchronization simulation equipment”, national defense horizontal research, PI

[24]2021-2021: “A certain type of command virtual subsystem”, national defense horizontal research, PI

[23]2020-2021: “A type of equipment testing software and simulator”, national defense horizontal research,200w, PI

[22]2020-2021: “VR-based training simulator for a type of UAV lifting and unloading”, enterprise sponsored horizontal research, PI

[21]2020-2021: “A command and coordination training system”, national defense horizontal research, 161w, PI

[20]2020-2020: “Fault analysis and decision software for XX control equipment”, national defense horizontal research, PI

[19]2019-2020: “Design of software technology for intra-pulse analysis of radar signals based on DSP operating system”, enterprise sponsored horizontal research, PI

[18]2018-2019: “Target detection algorithm of HF SWR based on strong robust time-frequency analysis under sea clutter suppression”, ** Joint Fund, PI

[17]2018-2019: “Development of the experimental instrument for monitoring the signals of earth natural pulse electromagnetic field based on remote network transmission”, Experimental Technology Research Program of China University of Geosciences (Wuhan), PI

[16]2018-2019: “Development of ENPEMF signal receiving equipment and the study on time-frequency analysis method” - “Geodesy and Geodynamics”- Open fund of State Key Laboratory, PI

[15]2018-2019: “Research on blind adaptive time-frequency analysis algorithm for non-stationary signals with strong robustness and high sharpening concentration” - “Advanced Control and Intelligent Automation for Complex Systems” - Hubei Key Laboratory/Open fund of 111 Base of the Ministry of Education, PI

[14]2018-2019: “High sharpening time-frequency analysis algorithm of non-linear match tracking based on blind adaptive sparsity of differential evolution” - “Intelligent Geo-information Processing” - Open Fund of Hubei Key Laboratory, PI

[13]2018-2019: “Research on earth natural pulse electromagnetic field signal receiving instrument and its time-frequency analysis” – Special fund of military-civilian integration foundation for central universities, PI

[12]2018-2019: “Research on time-frequency analysis of non-stationary signals based on fast sparse decomposition and high sharpening concentration” – Scientific research program of Hubei Provincial Department of Education, PI

[11]2016-2018: “Real time monitoring of landslides based on the earth’s natural pulse electromagnetic field and Internet”- Key program of Wuhan Science and Technology Bureau, PI

[10]2015-2018: “Time-frequency analysis of seismic precursor signals with VLF ENPEMF timing data magnetic pulse anomalies”- No. 58 General Programs of China Postdoctoral Science Foundation, PI

[9]2014-2015: “Research on the earthquake electromagnetic precursor based on the surface diurnal magnetic anomaly in VLF band of earth’s natural pulse electromagnetic field” - General Program of Natural Science Foundation of Hubei Province, PI

[8]2014-2017: “Development of the experimental instrument for monitoring the earth’s natural electromagnetic pulse”- Experimental technology research program of China University of Geosciences (Wuhan), PI

[7]2012-2014: “Research on the VLF broadband magnetic inductive sensor based on negative flux feedback”- Fundamental Research Funds for Outstanding Youth in Central Universities, PI

[6]2008-2009: “Research on antenna modeling based on dynamic multi-objective evolutionary algorithm”- 211 Excellent Young Teachers Fund for Central Universities, PI

[5]2016-2018: “Research on seismic inversion method of Qianjiangping high-speed landslide under the constraints of geomorphological features”, National Natural Science Foundation of China for the Youth, participant

[4]2016-2018: “Multimodal seismic precursor signal processing based on ripple shape features”, National Natural Science Foundation of China for the Youth, participant

[3]2012-2017: “Research and development of key components and the whole machine of dynamic multispectrometer”, National Major Scientific Instrument and Equipment Development Project, participant

[2]2012-2014: “Development of high-resolution asymmetric quadrupole inductively coupled plasma mass spectrometer”, Other major national science and technology projects, participant

[1]2008-2010: “Research on satellite evolutionary antenna technology”, project of China Aerospace Science and Technology Corporation, participant

 

Patens and Software Copyrights:

He has applied for more than 30 patents and software copyrights, mainly in the fields of geophysical field equipment, weak signal detection instruments, signal processing methods and other patents, and have been granted more than 20 invention patents and 8 software copyrights.

 

Textbooks and Monographs

[1] Analog Circuits, Textbook, 2019, China University of Geosciences Press

[2] Comprehensive Practice of Communication Engineering, Textbook, 2022, China University of Geosciences Press

[3] Earth's natural pulsed electromagnetic field and non-smooth signal feature extraction, monograph, 2021, China University of Geosciences Press

 

Doctoral Students

Grade 2021: Guo Juan

Grade 2020: Yu Jiantao

Grade 2019: Chen Xiaoli

 

Master Degree Candidates

Grade 2022: Bo Laite, Liu Hui, Liu Xuan, Liu Yuanhui, Lu Mengyuan, Wang Pei, Wu Chenbin, Xu Haifeng

Grade 2021: Hu Duo, Li Xiangbo, Liu Jiaming, Meng Jieting, Wang Kailong, Zhang Huanyun, Zhang Ying, Zhao Jing

Grade 2020: Gan Yu, Jin Yarui, Wang Panpan

Grade 2019: Shi Guangyao, Tan Songyuan, Zhao Lixiang

Grade 2018: Guo Juan, Ling Siqi, Zhang Bichao, Zhang Yabing, Zhou Li, XAIYASID NOY

Grade 2017: Feng Siquan, Li Fei, Tan Fan

Grade 2016: Bai Yuxiao, Liu Hui, Lv Yanwei

Grade 2015: Liu Hui (associate supervisor)

 

Provincial/university-level excellent master's/bachelor's thesis

2022: Lu Shuqi (university-level excellent bachelor’s thesis)

2021: Guo Juan (university-level excellent master’s thesis), Meng Jieting (university-level excellent bachelor’s thesis)

2019: Tan Songyuan (university-level excellent bachelor’s thesis)

2018: Zhang Yabing (university-level excellent bachelor’s thesis)

2017: LI Fei (provincial excellent bachelor’s thesis)

2016: Guo Juan (provincial excellent bachelor’s thesis)

2014: Wu Hao (provincial excellent bachelor’s thesis)

2012: Huang Junqing (provincial excellent bachelor’s thesis)

2011: Yang Zhenlei (provincial excellent bachelor’s thesis)

2008: Zhang Tianfei (provincial excellent bachelor’s thesis)

 

Awards:

[20] 2022: Most Popular Teachers

[19] 2021/2020/2019/2018/2017/2015: 10% Top 10% of the School in undergraduate teaching quality

[18] 2021-2020: Outstanding Party Worker

[17] 2022/2021: Outstanding supervisor of university-level excellent undergraduate thesis

[16] 2021: Outstanding supervisor of university-level excellent master's thesis

[15] 2021: School-level Outstanding Class Sponsor 

[14] 2020-2019: Outstanding Trade Union Official

[13] 2020: Faculty Award for Excellence in Undergraduate Teaching

[12] 2020: University-level advanced individual in combating COVID-19

[11] 2020: Third Prize of South China Region, National Electronics and Information Technology Young Teachers Teaching Competition

[10] 2020/2012/2011: University-level Outstanding CPC Member

[9] 2019: Excellent advisor in the 12th “Challenge Cup” for College Students (second prize in Hubei Province)

[8] 2019/2018: Under his guidance, the postgraduate students won the third prize and second prize in the 5th Petroleum Equipment Innovative Design Competition for China Postgraduate

[7]2021: school-level excellence in annual assessment; 2019: University-level excellence in annual assessment; 2018: school-level excellence in annual assessment

[7] 2019/2018/2017/2015: Top 10% of the University in annual undergraduate teaching quality

[6] 2016/2014/2012/2011/2008: Excellent thesis advisor for bachelor’s degree in Hubei Province

[5] 2015: The 11th “Most Popular Teachers” of CUG (Wuhan)

[4] 2011/2007: Outstanding Class Sponsor of CUG (Wuhan); 2010/2009/2008: Outstanding Academic Advisor of CUG (Wuhan)

[3] 2009/2006: The Fourth and Fifth Teaching Excellence Award for Young Teachers of CUG (Wuhan)

[2] 2008/2007/2005/2004: Excellent advisor in National Undergraduate Electronics Design Contest

[1] 1997: First Prize in Hubei Division of National Undergraduate Electronics Design Contest

 

Award-Winning Students

[8] Li Xiangbo, Jin Yarui, Wang Ri. Pipeline magnetic memory detection system, Second Prize in Central China Zone of “GigaDevice Cup” the 17th China Graduate Electronic Design Contest, 2022

[7] Li Xiangbo, Meng Jieting, Jin Yarui, Yu Jiantao. Underground engineering positioning monitoring instrument, University-level Second Prize of the 8th China College Students' 'Internet+' Innovation and Entrepreneurship Competition, 2022

[6] Liu Jiaming, Wang Kailong, Fan Pengyuan, Yan Chengcheng, Wang Geyan, Guo Juan, Yu Jiantao. Blockchain RPC Acceleration, University-level Third Prize of the 8th China College Students' 'Internet+' Innovation and Entrepreneurship Competition, 2022

[5] Sun Bin, Shi Wenjin, Ren Mengyu. Electromagnetic signal recognition technology based on selective knowledge migration, National Innovation and Entrepreneurship Training for University of PRC, 2021

[4] Chen Qi, Liu Xiaochen, Du Qianqian. “TI Cup” National Undergraduate Electronics Design Contest, Second Prize in Hubei Province, 2020

[3] Li, Xinyao, Xiao Wenli, Ma Rui, Jin Yarui, Yang Wen. Digital innovative integrated skinning effect validator based on series equivalent resistance method, The 12th "Challenge Cup" of Hubei Province, Second Prize in Hubei Province, 2019

[2] Zhang Bichao, Zhang Yabing, Guo Juan, Shi Guangyao, Tan Songyuan. Environmental friendly energy exploration equipment based on the earth’s natural pulsed electromagnetic field method, National Third Prize of “Jereh Cup" the 6th China Graduate Oil Equipment Innovation Design Competition, 2019

[1] Li Fei, Bai Yuxiao, Feng Siquan, Tan Fan Ling Siqi. Oil and gas exploration equipment based on the earth's natural pulsed electromagnetic field method, National Second Prize of “Jereh Cup" the 5th China Graduate Oil Equipment Innovation Design Competition, 2018