Computer Science and Technology

Qiao Xu

PhD

Personal Profile
Talent Training
Research Projects
Representative Achievements
Awards and Honors

Qiao Xu, PhD, Engineer, IEEE Member, China Computer Federation (CCF) Member, China Coal Society (CCS) Member, China Highway and Transportation Society (CHTS) Member.

Email: qiaoxu@cumtb.edu.cn

Main Research Directions:Development of Ground Penetrating Radar (GPR) Equipment, Graphics and Image Processing, etc.

Education Background:

2013.09-2017.06 China University of Mining and Technology - Beijing, Computer Application Technology, PhD

2010.09-2013.06 China University of Mining and Technology - Beijing, Computer Application Technology, Master's Degree

Work Experience:

2023.07-Present China University of Mining and Technology - Beijing, School of Artificial Intelligence, Engineer

2019.09-2023.06 China University of Mining and Technology - Beijing, School of Mechanical and Electrical Engineering and Information Technology, Engineer

2017.06-2019.09 China University of Mining and Technology - Beijing, School of Mechanical and Electrical Engineering and Information Technology, Post-Doctoral Researcher

Courses Undertaken:C Programming Language, Data Structures, etc.

To Be Updated

Hosted or participated in 2 national-level projects, 5 provincial and ministerial-level projects, and 1 horizontal project:

1)National Key Research and Development Plan: Research on Intelligent Recognition and Precise Interpretation Techniques for Underground Defects in Urban Roads (2021YFC3090304);

2)Beijing Municipal Science and Technology Plan Key Research and Development Special Project: Development and Demonstration Application of Artificial Intelligence Inspection Equipment for Urban Drainage Pipelines (Z191100008019001);

3)Open Research Fund of the State Key Laboratory: Research on Intelligent Algorithms for 3D Advanced Geological Prediction in Mines Based on Ground Penetrating Radar (SKLCRSM19KFA07);

4)Yangquan Coal Industry Research and Development Project: Research and Application of Key Technologies for Advanced Detection of Abnormal Structures in Tunneling Faces (GY19015);

5)Key Research and Development Project of China Railway Corporation: Research on Key Technologies for Rapid Detection of Railway Subgrade Using Geological Radar (2017G002-Q);

6)Guizhou Provincial Science and Technology Plan: Research on Rapid Detection Techniques for Hidden Defects in Urban Road Subgrades (GZ [2015]3020);

7)Beijing Municipal Science and Technology Plan: Research and Application of Rapid Detection Techniques for Urban Road Subgrade Defects (kj2014-9);

8)National Natural Science Foundation Instrument Special Project: Development and Industrial Application of Mine Hazard Source Detection Instruments (2012YQ030126).

Published 2 monographs, 37 papers (including 21 SCI/EI indexed papers), applied for 32 domestic invention patents (13 authorized), applied for 2 international invention patents (both authorized), and registered 22 software copyright certificates.

1)Monographs

[1] Qiao Xu. Ground Penetrating Radar Data Processing and Applications [M]. Jilin: Jilin University Press, 2024.

[2] Li Ce, Peng Suping, Yang Feng, Qiao Xu, Yan Rui. Intelligent Vision Detection Principles and Applications for Drainage Pipeline Robots [M]. Heilongjiang: Harbin Institute of Technology Press, 2024.

2)Representative Papers

[1] Qiao Xu, Zhao Xuejun, Yang Feng, et al. Kernel Matching Pursuit Recognition Algorithm for Soil Foundation Diseases in Urban Roads [J]. China Journal of Highway and Transport, 2017, 30(05): 44-51.

[2] Qiao Xu, Yang Feng, Zhao Xuejun, et al. Research on Void Detection Technology Around the Main Inclined Shaft of Songxinzhuang Coal Mine [J]. Journal of Mining Science and Technology, 2017, 2(05): 482-488.

[3] Qiao Xu, Gou Yanyan, Lu Shijun. Universal Design Technology for Highway Maintenance Management Systems Based on XML [J]. Modern Electronics Technique, 2019, 42(12): 144-147.

[4] Qiao, Xu, Yang, Feng, Xu, Maoxuan, et al. Underground Compactness Inversion Algorithm Based on Hilbert Marginal Spectrum [C]. 2018 17th International Conference on Ground Penetrating Radar, GPR 2018, 2018.

[5] Qiao, Xu, Ji, Wan Jun, Zhu, Kai, et al. The Research of the Ground Penetrating Radar Wave Velocity Estimation Method Based on QR Decomposition [C]. Applied Mechanics and Materials, 2014(522): 1197-1201.

[6] Qiao, Xu, Yang, Feng, Xu, Xianlei. The Prediction Method of Soil Moisture Content Based on Multiple Regression and RBF Neural Network [C]. Proceedings of the 15th International Conference on Ground Penetrating Radar, GPR 2014, 2014: 140-143.

[7] Qiao, Xu, Zhang, Hao, Liu, Tong, et al. GPR Wave Velocity Estimation Based on the Method of Curves Character and K-means Clustering [C]. Applied Mechanics and Materials, 2014(533): 242-246.

[8] Qiao Xu, Yang Feng, Qi Zhenhong, et al. Review of Background Clutter Suppression Methods for Mine Ground Penetrating Radar [J]. Science Technology and Engineering, 2024, 24(24): 10145-10158.

[9] Qiao Xu, Qi Zhenhong, Yang Zhihua, et al. Application of Ground Penetrating Radar in the Detection of Hidden Fault Structures in Huayang No.1 Mine [J]. Coal and Chemical Industry, 2024, 47(04): 62-67. DOI:10.19286/j.cnki.cci.2024.04.015.

3)Representative Patents

[1] Qiao Xu, Yang Feng. A Method for Estimating Target Coordinates Based on 3D Scanning Geological Radar [P]. Beijing: 202211402521.0, 2023-04-07.

[2] Qiao Xu, Yang Feng. An Inflatable Geological Radar Inspection Device for Sewage Pipelines [P]. Beijing: 202211398600.9, 2023-04-04.

[3] Qiao Xu, Yang Feng, Zhang Xiaowen. A Noise Reduction Method for Geological Radar Data Based on Group Singular Spectrum [P]. Beijing: 202211398482.1, 2023-03-07.

[4] Qiao Xu, Yang Feng, Peng Suping. A Foldable Geological Radar Antenna Case [P]. Beijing: 202211399940.3, 2023-03-07.

[5] Qiao Xu, Yang Feng. A Method for Stacking 3D Advanced Detection Data of Geological Radar [P]. Beijing: 202211398074.6, 2023-02-03.

[6] Qiao Xu. A Method for Fan Imaging of Geological Radar Data [P]. Beijing: 202211260936.9, 2023-01-17.

[7] Qiao Xu, Yang Feng. A 3D Space Scanning Geological Radar Antenna Bracket [P]. Beijing: 202211259566.7, 2022-12-20.

[8] Qiao Xu, Yang Feng, Wu Yue. A Method for Enhancing Geological Radar Data Based on Singular Value Scaling [P]. Beijing: 202110754944.8, 2022-07-01.

[9] Qiao Xu, Yang Feng, Yan Rui. An Algorithm for Extracting 3D Coordinates of Underground Cavities Based on Ground Penetrating Radar [P]. Beijing: 201811294514.7, 2021-09-21.

[10] Qiao Xu, Wang Yinling, Yang Feng. A Method for 3D Reconstruction of Pipeline Inner Walls Based on a Monocular Image Sequence [P]. Beijing: 201811294414.4, 2021-04-20.

[11] Qiao Xu, Yang Feng, He Wenyong. A Method for Generating Road Maintenance Information Management Systems Based on XML [P]. Beijing: 201811294505.8, 2019-02-22.

[12] Qiao Xu, Ji Wanjun, Xia Yunhai, et al. A Road Distress Localization Method Based on Threshold Segmentation [P]. Beijing: 201410514242.2, 2017-06-23.

[13] Qiao Xu, Xia Yunhai, Ji Wanjun. A Ground Penetrating Radar Underground Pipeline Detection Method Based on Fuzzy Clustering and Hough Transform [P]. Beijing: 201410483758.5, 2017-05-31.

[14] Qiao Xu. A Ground Penetrating Radar Data Registration Method Based on Mutual Information [P]. Beijing: 201410513317.5, 2014-12-10.

4)Partial Software Copyrights

[1] Intelligent Recognition Software for Ground Penetrating Radar Detection Data of Drainage Pipelines, 2021SR0097302.

[2] Intrinsically Safe Advanced Detection Radar 3D Acquisition System, 2021SR0097303.

[3] Tunnel Advanced Detection Radar 3D Acquisition System, 2021SR0101153.

[4] Intelligent Recognition Software for Ground Penetrating Radar Detection Data of Highways, 2021SR0097304.

[5] Intelligent Recognition Software for Ground Penetrating Radar Detection Data of Railways, 2021SR1874550.

[6] GeoClouds, 2022SR0226545.

[7] GR Ground Penetrating Radar Data Analysis Platform, 2022SR0226547.

[8] GR Video Data Processing System, 2022SR0226546.

[9] Medium-Diameter Three-Channel Radar Data Acquisition Software, 2022SR0226548.

[10] Small-Diameter Single-Channel Data Acquisition Software, 2022SR0226550.

[11] Swing-Arm Single-Channel Radar Data Acquisition Software, 2022SR0226549.

Received 1 teaching award, 1 innovation and entrepreneurship competition award, honored as an advanced individual in laboratory work at the university, and an excellent instructor for subject competitions:

[1] 2020 First Prize of Excellent Teaching Achievement Award of China University of Mining and Technology - Beijing: Course Construction of "Fundamentals of Information Technology" Based on Online and Offline Mixed Teaching Mode (Ranked 5th);

[2] 2021 First Prize of China Mobile Beijing Company's 5G+ Application Innovation Competition: Mobile 5G Enabling Intelligent Detection System for Urban Roads;

[3] 2023 Advanced Individual in Laboratory Work at China University of Mining and Technology - Beijing;

[4] 2023 Excellent Instructor for the Blue Bridge Cup National Software and Information Technology Professionals Contest Beijing Region.

Received 15 scientific research awards, including 11 provincial and minist.

[1] ‌Excellence Award, 19th Beijing Invention & Innovation Competition 2025: Precision Detection and 3D Visualization Technology for Geological Radar in Underground Spaces (Ranked 2nd);

[2] ‌Key Promoted Innovation in "Four New Technologies for Tunnels and Underground Spaces" (2025): Geological Pre-Detection Technology for Highway Tunnels Based on Deep-Penetration 3D Ground-Penetrating Radar (Ranked 2nd);

[3] ‌Third Prize, China Coal Industry Science and Technology Award (2024): Research on Complex Geological Structure Detection and Intelligent Interpretation Technology for Mine Ground-Penetrating Radar (Ranked 2nd);

[4] ‌Bronze Award, China Highway Society Micro-Innovation Competition (2023): Application of 3D Radar Detection Technology in Precision Prediction of Tunnel Complex Hazardous Bodies (Ranked 2nd);

[5] ‌First Prize, Beijing Hydraulic Engineering Society Science and Technology Award (2023): Research and Application of Deep Underground Space 3D Radar Detection Technology (Ranked 2nd);

[6] ‌Second Prize, Ministry of Education's Outstanding Research Achievements in Technology Invention (2022): Full-Space Multi-Source Intelligent Detection Equipment and Technology Application for Urban Drainage Pipes (Ranked 5th);

[7] ‌First Prize, National Defense Science and Technology Progress Award (2022): Key Technologies for Excavation and Precision Detection of High-Level Radioactive Waste Disposal Underground Laboratory (Ranked 13th);

[8] ‌First Prize, CNNC Group Science and Technology Award (2022): Key Technologies for Excavation and Precision Detection of High-Level Radioactive Waste Disposal Underground Laboratory (Ranked 13th);

[9] ‌Second Prize, Guizhou Highway Society Science and Technology Award (2022): Rapid Detection Technology for Hidden Urban Road Subgrade Diseases (Ranked 3rd);

[10] ‌Second Prize, China Coal Industry Science and Technology Award (2019): Development and Application of Cloud-Based Mine Hazard Source Data Management and Analysis Identification System (Ranked 1st);

[11] ‌Second Prize, Beijing Municipal Science and Technology Award (2018): Development and Application of Internet-Based Urban Road Underground Maintenance System (Ranked 5th);

[12] ‌First Prize, China Coal Industry Science and Technology Award (2015): Research on Ultra-Deep Detection Geological Radar Equipment and Methods for Mine Hazard Sources (Ranked 12th);

[13] ‌Excellence Award, China Industry-University-Research Collaboration Innovation Achievements (2016): Rapid Detection Technology for Urban Road Collapse Underground Risks (Ranked 5th);

[14] ‌Sixth National Work Safety Science and Technology Achievement Award (2015): Development and Application of 3D Digital Mine System (Ranked 8th);

[15] ‌Third Prize, Beijing Municipal Science and Technology Award (2014): Development of Urban Road Hazard Detection Radar Equipment and Technical Methods (Ranked 12th).