-please scroll down for the English version-
周峰：副教授/博士生导师，勘探地球物理学家学会（SEG）会员，欧洲地质学家与工程师学会（EAGE）会员，欧洲地球科学学会（EGU）会员。联系方式：zhoufeng617@163.com.
招生情况：
*硕士：2024年度招生名额5个，专业：信息与通信工程（学硕）或电子信息（专硕），当前研究方向：基于深度学习的雷达图像处理算法及应用、基于嵌入式深度学习的无损检测方法及仪器开发、基于深度学习的月球/火星探测数据智能处理与解释、基于深度学习的定位导航方法研究、无人机飞控及探测系统开发，分别涉及软件开发、硬件研发、算法实现。现有在读硕士研究生12人，近两年学生就业单位：湖北移动（武汉）、湖北电信（武汉）、中船722所（武汉）、芯动科技（武汉）、比亚迪（深圳）、中科院空天信息研究院（广州）、季华实验室（佛山）、海信（东莞）。
*博士：每年招生名额1个（含考核制、硕博连读及直博），专业：地质装备工程（一级学科为地质资源与地质工程），当前开展的研究方向：深度学习电磁方程解法、电磁无损检测仪器开发、行星雷达探测及其人工智能应用、井下雷达仪器研发、无人机雷达研发。现有博士在读3人，1人赴英国阿伯丁大学进行联合培养。
*博士后：无名额限制，研究方向参考博士招生方向及科研项目，具体课题及待遇需提前商议后决定，挂靠博士后流动站：控制科学与工程。现有在站博士后1人（巴西籍）。
以上各职位均欢迎跨专业报考。博士、博士后以与国外大学联合培养为主。
成果新闻报告：
https://www.cug.edu.cn/info/10801/102681.htm
https://www.szvup.com/Html/xydt/2021/20542.html
教育背景：
2013/10–2021/1：荷兰代尔夫特理工大学，应用地球物理，博士（part-time），导师Evert Slob教授，博士论文《Novel Applications of Ground-Penetrating Radar in Oil Fields》.
2013/4–2016/6：太阳集团欢迎您，地球物理学，理学博士后，导师胡祥云教授，研究报告《阵列感应测井渗透率评估方法研究》.
2007/9–2011/12：太阳集团欢迎您，地球探测与信息技术，工学博士，导师潘和平教授，博士论文《井中雷达储层动态监控及其在智能井采油优化上的应用》.
2005/9–2007/6：太阳集团欢迎您，固体地球物理学，理学硕士，导师潘和平教授，硕士论文《井中激电地-井方式正反演》.
1998/9–2002/6：火箭军指挥学院（原第二炮兵指挥学院），通信工程，工学学士.
国际交流：
2019/1–2020/3：荷兰代尔夫特理工大学土木与地球科学学院，访问学者，合作导师：Prof. Evert Slob，CSC（中）及NWO（荷）联合资助.
2018/12：瑞士洛桑大学地球与环境学院，短期访问，合作导师：Prof. Klaus Holliger，瑞方资助.
2018/1–2018/3：英国爱丁堡大学工程学院，短期访问，合作导师 Dr. Antonios Giannopoulos，欧盟HPC-Europa3计划资助.
2009/10–2010/11：荷兰代尔夫特理工大学土木与地球科学学院，访问学者，合作导师Dr. Evert Slob，NUFFIC（荷）奖学金资助.
科研项目：
2024-2027：基于地层匹配的三维探地雷达导航定位研究，国家自然科学基金面上项目，主持
2023-2025：机载探地雷达浅地表未爆炸物探测—系统与方法研究，中央高校基本科研业务费教育部B类重点实验室主任基金重点项目，主持
2023-2024：基于深度学习的三维探地雷达数据智能解译技术研究，广东省地球物理高精度成像技术重点实验室开放基金，主持
2023: 基于火星次表层探测雷达的乌托邦平原典型地貌和构造特征类比研究, 国家自然科学基金专项项目，主持.
2022-2023: 机载探地雷达土壤含水率探测方法研究, 哈尔滨工业大学重庆研究院委托项目，主持.
2022-2023: 基于深度学习的探地雷达隧道衬砌病害检测技术研究, 云南航天工程物探检测股份有限公司委托项目，主持.
2021-2023：基于机器学习的钢筋混凝土无损检测研究，国家自然科学基金国际合作与交流项目（英国），主持.
2020-2023：基于深度学习的探地雷达–电磁感应高精度无损检测方法，国家自然科学基金面上基金，主持.
2019-2020：雷达测井及其油气领域应用（荷兰代尔夫特），湖北省晨光计划，主持.
2018-2019：基于雷达测井的储层评价，国家自然科学基金国际合作与交流项目（荷兰），主持.
2017-2020：井中雷达储层渗透率评价方法研究，国家自然科学基金面上基金，主持.
2015-2017：低孔低渗储层渗透率评价新方法研究，中国石油科技创新基金，主持.
2014-2016：井中雷达储层监测机理及方法研究，国家自然科学基金青年基金，主持.
2013-2016：深水智能井雷达监测技术研究，第五十四批中国博士后科学基金面上一等资助，主持.
2013-2015：基于阵列感应测井泥浆侵入校正及有效渗透率计算方法，国家科技重大专项大型油气田及煤层气开发，参与.
2009-2011: Borehole radar measurements to detect gas coning or early water breakthrough in individual horizontal well segments, ISAPP (sponsored by Shell, TU Delft and TNO)，参与.
期刊论文（*为通信作者）
Sijing Liu (博士), Landerlei Almeida Santos, Song Ning, Feng Zhou, Hai Liu, Xiangyun Hu*, Pattern Analyses of Lunar Penetrating Radar Images at Chang'E-3, 4, and 5 Landing Sites: A New Insight Into the Evolution of Lunar Regolith, Journal of Geophysical Research-Planets, 2023, 128(6): e2022JE007675.
Iraklis Giannakis*, Javier Martin-Torres, Yan Su, Jianqing Feng, Feng Zhou, Maria-Paz Zorzano, Craig Warren, Antonios Giannopoulos, Evidence of shallow basaltic lava layers in Von Kármán crater from Yutu-2 Lunar Penetrating Radar, Icarus, 2024, 408: 115837.
Jian Huang (硕士), Xi Yang, Feng Zhou*, Xiaofeng Li, Bin Zhou, Song Lu, Sergey Ivashov, Iraklis Giannakis, Fannian Kong, Evert Slob. A deep learning framework based on improved self-supervised learning for ground-penetrating radar tunnel lining inspection, Computer-Aided Civil and Infrastructure Engineering (IF=10.066), 2024, 39(6), 1856-1862 (入选封面文章).
Feng Zhou, Iraklis Giannakis, Antonios Giannopoulos, Klaus Holliger, Evert Slob, Extracting mud invasion information using borehole radar—a numerical study, Geophysics, 88(2), D69–D83.
Xiaofeng Li(硕士), Hai Liu, Feng Zhou*, Zhongchang Chen, Iraklis Giannakis, Evert Slob, Deep learning-based nondestructive evaluation of reinforcement bars using ground-penetrating radar and electromagnetic induction data, Computer-Aided Civil and Infrastructure Engineering (IF=11.775), 2022, 37(14): 1834-1853.
Iraklis Giannakis*, Feng Zhou, Craig Warren, Antonios Giannopoulos，Inferring the shallow layered structure at the ChangE-4 landing site: A novel interpretation approach using lunar penetrating radar, Geophysical Research Letters, 2021, 48(16): e2021GL092866.
Iraklis Giannakis*, Feng Zhou, Crag Warren, Antonis Giannopoulos, On the Limitations of Hyperbola Fitting for Estimating the Radius of Cylindrical Targets in Nondestructive Testing and Utility Detection, IEEE Geoscience and Remote Sensing Letters, 2022，19, 1-5.
曹斐（本科），周彧，王春晓，任梦宇，周峰*，一种改进的支持向量回归的混凝土强度预测方法，硅酸盐通报，2021，40(1)：90–97.
Feng Zhou*, Iraklis Giannakis, Antonios Giannopoulos, Klaus Holliger, Evert Slob, Estimating reservoir permeability with borehole radar, Geophysics, 2020, 85(4): H51–H60.
周峰，汪文，李杉杉，李杏梅，基于GprMax的交互式电磁仿真与教学软件系统，电气电子教学学报，2019, 41(5)：128-133.
周峰，刘航军*，雷达测井数值模拟及电磁波传播特征分析，地质科技情报，2018，37(4)：246–252.
Feng Zhou, Zhongchang Chen, Hai Liu*, Jie Cui, Billie F. Spencer, Guangyou Fang. Simultaneous estimation of rebar diameter and cover thickness by a GPR-EMI dual sensor, Sensors, 2018, 18(9), 2969.
Feng Zhou*, Mattia Miorali, Evert Slob, Xiangyun Hu, Reservoir monitoring using borehole radars to improve oil recovery: Suggestions from 3D EM and fluid modeling, Geophysics, 2018, 83(2): WB19–WB32.
周峰，孟庆鑫，胡祥云*，Evert Slob，潘和平，马火林，利用阵列感应测井进行储层渗透率评价（英文同步出版名：Evaluation of reservoir permeability using array induction logging），地球物理学报，2016，59(11)：4360–4371.
Zhou Feng, Hu Xiang-Yun*, Meng Qing-Xin, Hu Xu-Dong, Liu Zhi-Yuan, Model and method of permeability evaluation based on mud invasion effects (中文同步出版名：利用泥浆侵入效应评估储层渗透率的模型和方法), Applied Geophysics, 2015, 12(4): 482–492.
Feng Zhou*, Xiangyun Hu, Junrong Liu, Comparative study of feedback control policies in water flooding production, Journal of Natural Gas Science and Engineering, 2015, 27(3): 1348–1356.
周峰*，刘均荣，胡祥云，智能井反馈控制生产策略数值模拟，中国石油大学学报（自然科学版），2014，38(4)：110–116.
周峰*，智能井监测技术研究进展，地质科技情报，2013，32(2)：174–180，核心.
Mattia Miorali*, Feng Zhou, Evert Slob, Rob Arts, Coupling ground penetrating radar and fluid flow modeling for oilfield, Geophysics, 2011, 76(3): A21–A25.
周峰，潘和平*，文国军，李志华，基于有限差分的井中激发极化三维正演，电波科学学报，2010，25(4)：785–792.
周峰，潘和平*，吴国平，徐健，陈滢，井中激电地–井方式井旁球体正反演，物探与化探，2008，32(3)：321–325.
学术组织活动：
20th International Conference on Ground Penetrating Radar （2024，吉林长春）技术委员会委员
6th edition of Asia Pacific Meeting on Near Surface Geoscience and Engineering (2024，日本筑波) 技术委员会委员
5th edition of Asia Pacific Meeting on Near Surface Geoscience and Engineering (2022，Taipei) 技术委员会委员.
《Remote Sensing》期刊专辑“Radar Techniques for Structures Characterization and Monitoring”（2021–2022) 客座编辑.
塞尔维亚科学基金国际评审专家（2020-2022）.
国家自然科学基金函地学部评专家（2016-至今）.
SEG Workshop on Underground Water and Karst Imaging (2020, Beijing), 技术委员会委员.
Progress in Electromagnetics Research Symposium (2019, Xiamen), Special Session on Subsurface Sensing and Imaging, 共同召集人.
第十四届中国国际地球电磁学术讨论会（2019，徐州），海洋电磁探测分会场，共同召集人.
第十三届中国国际地球电磁学术讨论会（2017，武汉），海洋、航空及井间电磁新方法与技术分会场，共同召集人.
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Dr. Feng Zhou (Associate professor, PhD supervisor)
Feng Zhou is an associate professor at the Department of Communication Engineering, School of Mechanical Engineering & Electronic Information, China of University of Geosciences (Wuhan). He got the first PhD degree in Geo-detection and Information Technology from China University of Geosciences (Wuhan) in 2011. In 2021, he got his second PhD degree in Applied Geophysics from Delft University of Technology. His interests include forward and inversion of electromagnetic geophysics, borehole electromagnetic methods, ground-penetrating radar applications in petroleum and civil engineering, artificial intelligence applications in geosciences and civil engineering. He published tens of papers in international journals and is a principal investigator for more than ten projects including four NSFC (National Natural Science Foundation of China projects.
Contact: zhoufeng@cug.edu.cn
Recruitment of International students and post doctors:
International students for master and PhD study are welcome. I would be happy to assist the candidates to apply for the CSC or university scholarships. Please read my profile below before sending emails to me. The discipline of master degree is Information and Telecommunication Engineering. The PhD degree is Geological Equipment Engineering, for which the master students majoring in geophysics, electrical engineering, computing science and petroleum engineering can apply. My study interests are electromagnetic computations, ground-penetrating radar, oil production optimization, non-destructive testing and artificial intelligence.
Postdoctoral positions are open at any time. Any PhD holder with interests in ground-penetrating radar, well logging, artificial intelligence applications in geosciences or smart well production optimization are welcome. Please contact me to discuss the project topics and salary.
Research interests:
Numerical simulations in electromagnetics and multiphase flow;
Applications of ground penetrating radar in civil engineering and geosciences;
Borehole geophysics;
Artificial intelligence in geosciences.
Educational Background:
2013.10–2021.01: PhD in Applied Geophysics, Delft University of Technology, The Netherlands, Supervisor: Prof. Evert Slob, Thesis Title: “Novel Applications of Ground-Penetrating Radar in Oil Fields”.
2013.04–2016.04: Postdoc in Geophysics, China University of Geosciences (Wuhan), China, Supervisor: Prof. Xiangyun Hu, Research Report: “Study of Permeability Estimation Using Array Induction Logging”.
2007.09–2011.12: PhD in Geo-detection and Information Technology, China University of Geosciences (Wuhan), China, Supervisor: Prof. Heping Pan, Thesis Title: “Reservoir Dynamic Monitoring Using Borehole Radar and its Application in Smart Well Production”.
2005.09–2007.06: MSc in Solid Earth Geophysics, China University of Geosciences (Wuhan), China, Supervisor: Prof. Heping Pan, Thesis Title: “Forward and Inversion of Surface-Borehole Induced Polarization”.
1998.09–2002.06: BSc in Telecommunications Engineering, PLA. Second Artillery College of Commanding, China.
Academic Visits:
2019.01–2020.03: Visiting Scholar, Department of Geoscience and Engineering, Faculty of Civil Engineering and Geosciences, Delft University of Technology, The Netherlands, Supervisor: Prof. Evert Slob, Funded by CSC (China Scholarship Council) and NWO (Netherlands Organization for Scientific Research).
2018.12: Visiting Scholar, Institute of Earth Sciences, Faculty of Geosciences and Environment, The University of Lausanne, Switzerland, Supervisor: Prof. Klaus Holliger, Funded by the Institute of Earth Sciences of the University of Lausanne.
2018.01–2018.03: Visiting Scholar, Institute of Infrastructure and Environment, School of Engineering, The University of Edinburgh, The United Kingdom, Supervisor: Dr. Antonis Giannopoulos, Funded by the HPC-Europa3 Program.
2009.10–2010.11: Visiting Scholar, Department of Geotechnology, Faculty of Civil Engineering and Geosciences, Delft University of Technology, The Netherlands, Supervisor: Dr. Evert Slob, Funded by Nuffic Program.
Journal Publications:
Xiaofeng Li, Hai Liu, Feng Zhou*, Zhongchang Chen, Iraklis Giannakis, Evert Slob, Deep learning-based nondestructive evaluation of reinforcement bars using ground-penetrating radar and electromagnetic induction data, Computer-Aided Civil and Infrastructure Engineering, online published, SCI, IF = 11.775.
Iraklis Giannakis*, Feng Zhou, Craig Warren, Antonios Giannopoulos，Inferring the shallow layered structure at the Chang’E-4 landing site: A novel interpretation approach using lunar penetrating radar, Geophysical Research Letters, 2021, 48(16): e2021GL092866, SCI.
CAO Fei, ZHOU Yu, WANG Chunxiao, REN Mengyu, ZHOU Feng*, An improved support vector regression method for concrete strength prediction. Bulletin of the Chinese Ceramic Society, 2021, 40(1), 90-97.
Feng Zhou*, Iraklis Giannakis, Antonios Giannopoulos, Klaus Holliger, Evert Slob. Estimating reservoir permeability with borehole radar. Geophysics, 2020, 85(4): H51-H60.
Feng Zhou, Hangjun Liu*. Numerical simulations of radar logging and the characteristic analysis of electromagnetic propagation. Geological Science and Technology Information, 2018, 37(4): 246–252 (in Chinese).
Feng Zhou, Zhongchang Chen, Hai Liu*, Jie Cui, Billie F. Spencer, Guangyou Fang. Simultaneous estimation of rebar diameter and cover thickness by a GPR-EMI dual sensor. Sensors, 2018, 18(9): 2969.
Feng Zhou*, Mattia Miorali, Evert Slob, Xiangyun Hu. Reservoir monitoring using borehole radars to improve oil recovery: Suggestions from 3D EM and fluid modeling. Geophysics, 2018, 83(2): WB19–WB32.
Feng Zhou, Qingxin Meng, Xiangyun Hu*, Evert Slob, Heping Pan, Huolin Ma. Evaluation of reservoir permeability using array induction logging. Chinese Journal of Geophysics, 2016, 59(6): 703–716 (in English and Chinese).
Feng Zhou, Xiangyun Hu*, Qingxin Meng, Xudong Hu, Zhiyuan Liu. Model and method of permeability evaluation based on mud invasion effects. Applied Geophysics, 2015, 12(4): 482–492 (in English and Chinese).
Feng Zhou*, Xiangyun Hu, Junrong Liu. Comparative study of feedback control policies in water flooding production. Journal of Natural Gas Science and Engineering, 2015, 27(3): 1348–1356.
Feng Zhou, Junrong Liu, Xiangyun Hu*. Numerical simulation of intelligent well feedback control production strategies. Journal of China University of Petroleum, 2014, 38(4): 110–116 (in Chinese).
Feng Zhou*. Advances in smart well monitoring technology. Geological Science and Technology Information, 2013, 32(2): 174–180 (in Chinese).
Mattia Miorali*, Feng Zhou, Evert Slob, Rob Arts. Coupling ground penetrating radar and fluid flow modeling for oilfield. Geophysics, 2011, 76(3): A21–A25.
Feng Zhou, Heping Pan*, Guojun Wen, Zhihua Li. Three-dimensional forward modeling of borehole induced polarization using finite difference method. Chinese Journal of Radio Science, 2010, 25(4): 785–792 (in Chinese).
Conferences:
Feng Zhou*, Iraklis Giannakis, Antonis Giannopoulos, Evert Slob, SEG Workshop on Underground Water and Karst Imaging, Beijing, 2020/08/28, invited talk.
Xiaofeng Li, Zhongchang Chen, Xuefeng Yin, Zhiwei Duan, Feng Zhou, Hai Liu, Guangyou Fang. Concrete rebar characterization based on machine learning. PhotonIcs & Electromagnetics Research Symposium, Xiamen, 2019/12/17-2019/12/20, oral talk.
Feng Zhou, Iraklis Giannakis, Antonis Giannopoulos, Evert Slob. Associating borehole radar imaging with petrophysical properties for a mud-contaminated reservoir. Near Surface Geoscience Conference & Exhibition 2019, The Hague, 2019/9/8-2019/9/12, oral talk.
Feng Zhou, Xiangyun Hu, Iraklis Giannakis, Antonios Giannopoulos, Klaus Holliger, Evert Slob. Borehole radar response of a mud-invaded oil-bearing layer. Vienna, EGU General Assembly 2019, Vienna, 2019/4/7–2019/4/12, poster.
Feng Zhou, Zhongchang Chen, Li Ma, Hai Liu, Guangyou Fang. Applying machine learning for rapid and automatic characterizations of concrete rebars based on EMI and GPR data. Vienna, EGU General Assembly 2019, Vienna, 2019/4/7–2019/4/12, poster.
Feng Zhou, Mattia Miorali, Evert Slob. Applying Borehole Radar in Production Monitoring for Recovery Improving. BIT’s 3rd Annual World Congress of Well Stimulation and EOR (Xi’an, China), 2012.
Mattia Miorali, Feng Zhou, Evert Slob, Rob Arts. Water Front Monitoring by Ground Penetrating Radar Technology. SEG Annual Meeting (Denver, USA), 2010.
Feng Zhou, Mattia Miorali, Evert Slob, Rob Arts. A 3-D Numerical Investigation of Reservoir Monitoring with Borehole Radar and its Application in Smart Well. AGU Fall Meeting (San Francisco, USA), 2011.
Evert Slob, Feng Zhou, Andrea Di Matteo, Claudio Patriarca. Extracting Subsurface Information from GPR Reflection and Transmission Data. AGU fall meeting (San Francisco, USA), 2011.
Principal Investigator：
2020-2023: Joint GPR-EMI high-precision nondestructive testing method based on deep learning, National Natural Science Foundation of China (NSFC).
2018–2019: Reservoir evaluation using radar logging, International Cooperation and Exchange of NSFC (Cooperating with NWO of The Netherlands).
2017–2020: Study on estimation method of reservoir permeability using borehole radars, NSFC.
2016–2018: Permeability estimation in low-porosity and low-permeability reservoirs, PetroChina Innovation Foundation.
2014–2016: Mechanism and method study of reservoir monitoring using borehole radar, NSFC.
2013–2016: Radar monitoring of smart well in deep water reservoirs, China Postdoctoral Science Foundation.
Academic Community Volunteers:
5th edition of Asia Pacific Meeting on Near Surface Geoscience and Engineering (2022， Taipei) Committee Member.
Guest Editor on Special Issue “Radar Techniques for Structures Characterization and Monitoring” of “Remote Sensing”, 2021–2022.
Project Peer Reviewer of the Science Fund of the Republic of Serbia, 2020–2022.
Project Peer Reviewer of the National Natural Science Foundation of China, 2016–now.
SEG Workshop on Underground Water and Karst Imaging, 2020, Beijing, Technical Committee Member.
Progress in Electromagnetics Research Symposium, 2019, Xiamen, Special Session on Subsurface Sensing and Imaging, Co-convener.
14rd China International Geo-Electromagnetic Workshop, 2019, Xuzhou, Session on Marine Electromagnetic Method, Co-convener.
13rd China International Geo-Electromagnetic Workshop, 2017, Wuhan, Session on Marine and Borehole Electromagnetic Method, Co-convener.
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