桂任舟 副教授

一、个人基本情况
桂任舟，男，1973.9，副教授、博/硕士生导师。
德国克虏伯基金****：获德国克虏伯基金资助，在德国从事雷达波形设计与雷达信号处理方面的研究工作。
美国哥伦比亚访问****：获国家留学基金委资助，在美国哥伦比亚大学从事深度对抗学习、深度神经网络等方面研究。
二、在研项目（雷达部分负责人）
项目类型：国家自然科学基金委国家重大科研仪器研制项目
项目名称：多波动式岩体-结构复合体内信息高精度采集系统
编号：**
金额：803.7万元
起止年月：2019.1-2023.12
三、当前主要研究方向
人工智能、深度神经网络、对抗学习、大数据、系统设计。
（1）大数据：网络数据抓取、分布式存储、时空GIS显示，技术包括：Python、Matlab、C#、C++、SQL、NoSQL、MongoDB、Hadoop、ArcGIS等软件方面。
研究内容包括：统计分析、深度神经网络、人工智能。
（2）民用雷达，涉及系统设计和集成，数据处理，主要技术包括：天线设计、射频电路、ARM、DSP、FPGA、USB接口等硬件方面。
研究内容包括：电磁波传播、透射、散射，小波分解、时频分析、信号检测估计等。
四、研究情况简介
2006.7武汉大学无线电物理专业博士毕业后入职同济大学，依托信息与通信工程系主要从事智能信号与信息处理研究。在自适应选频、跳频波形设计和神经网络等方面有多年的研究积累，在Radio Science、International Journal of Microwave and Wireless Technologies、ACTA PHYSIC A等国际期刊和电波科学学报、武汉大学学报等国内学报级期刊上以第一作者发表学术论文40余篇，被SCI、EI检索论文达20余篇。
五、代表性学术成就
第一作者发表40余篇高水平学术论文。其中：
[1]Renzhuo Gui; , Utilizing Higher Moments to Detect Time-Varying Target in Radar Echo With Non-stationary Background , International Journal of Microwave and Wireless Technologiesv 8, n 2, p 215-219, March 1, 2016.工程技术4区IF 0.425
[2]Gui, R.Z.; , Adaptively selecting working frequency to reduce disturbances in high frequency radar, Acta Physica Polonica A ,vol. 119, no. 4, pp. 473-478 April 2011.物理4区IF0.553
[3]桂任舟.利用二维恒虚警进行非均匀噪声背景下的目标检测[J].武汉大学学报：信息科学版,2012,37(3):354-357.工程技术4区IF 0.407
[4]Renzhuo Gui; Zijie Yang; , Application of Hopfield neural network for extracting Doppler spectrum from ocean echo,Radio Science,vol. 41,no. 4, pp. RS4S90-1-6 July-Aug. 2006.电信学3区IF 1.387
[5]GUI Renzhou,“Application of adaptive beamformer based on weight iterative algorithm to suppress interferences”,2008,30(4):597-600.工程技术4区IF 0.526
六、成果应用与转化情况
完成地波雷达接收机系统设计并已经产业化。
完成基于MongDB的大数据平台开发，并成功应用于长三角中小企业空间时空分布的智能城市规划领域。
完成基于隧道地下空间安全隐患雷达实时探测设备研制，正在产业化过程中。

欢迎报考硕、博士研究生！

联系邮箱：rzgui@tongji.edu.cn

Gui Renzhou, male, 1973.9, associate professor, doctoral/master tutor.
After graduating from Wuhan University with a doctorate in radio physics, he joined Tongji University. Relying on the Department of Information and Communication Engineering, he is mainly engaged in intelligent signal and information processing research. He has accumulated many years of research in adaptive frequency selection, frequency hopping waveform design and neural networks. He has published in domestic journals such as Radio Science, International Journal of Microwave and Wireless Technologies, Acta PHYSIC A and other domestic journals such as Radio Science Journal and Wuhan University Journal more than 40 academic papers have been published by first authors in first-level journals, and more than 20 papers have been indexed by SCI and EI.
Scholars of the German Krupp Foundation: Funded by the German Krupp Foundation, he is engaged in research on radar waveform design and radar signal processing in Germany. Visiting scholar in Columbia, USA: Funded by the National Council for Study Abroad, engaged in research on deep confrontation learning, deep neural networks, etc. at Columbia University.
Main research directions
Artificial intelligence, deep neural network, adversarial learning, big data, system design.
(1) Big data: network data capture, distributed storage, spatio-temporal GIS display, technologies include: Python, Matlab, C#, C++, SQL, NoSQL, MongoDB, Hadoop, ArcGIS and other software aspects. The research content includes: statistical analysis, deep neural network, artificial intelligence.
(2) Civil radar involves system design and integration, data processing, and the main technologies include: antenna design, radio frequency circuit, ARM, DSP, FPGA, USB interface and other hardware aspects. The research content includes: electromagnetic wave propagation, transmission, scattering, wavelet decomposition, time-frequency analysis, signal detection and estimation.
Final project
Yangtze River Delta Enterprise Data Processing
Project content: In Python language, use web crawlers to obtain public information on the network, under XPath method, use tree-based node text extraction algorithm and anti-crawler means, multi-threaded parallel information collection; for data management, use NoSQL-based The MongoDB database solves the traditional storage bottleneck problem, sorts, categorizes and stores the collected information, and the query efficiency is high; using C# secondary development ArcGIS, further analyzes the mining data from the perspective of time and space, and obtains the statistics, distribution and change details of the data , And the relationship between the data and the prediction effect, complete the visual interface, discuss and analyze the development and changes.
Research project
Project Type: National Natural Science Foundation of China National Major Scientific Research Instrument Development Project (person in charge of radar)
Project name: Multi-wave type rock mass-structure complex high-precision information collection system
ID: **
Amount: 8.073 million yuan
Starting and ending years: 2019.1-2023.12
Representative academic achievements
Paper
The first author published more than 40 high-level academic papers. among them:
[1] Renzhuo Gui;, Utilizing Higher Moments to Detect Time-Varying Target in Radar Echo With Non-stationary Background , International Journal of Microwave and Wireless Technologies v 8, n 2, p 215-219, March 1, 2016. Engineering Technology Zone 4 IF 0.425
[2]Gui, R.Z.;, Adaptively selecting working frequency to reduce disturbances in high frequency radar, Acta Physica Polonica A ,vol. 119, no. 4, pp. 473-478 April 2011. Physical Area 4 IF0.553
[3] Gui Renzhou. Using two-dimensional constant false alarms to detect targets in the background of non-uniform noise [J]. Journal of Wuhan University: Information Science Edition, 2012, 37(3): 354-357. Engineering Technology Zone 4 IF 0.407
[4] Renzhuo Gui; Zijie Yang;, Application of Hopfield neural network for extracting Doppler spectrum from ocean echo, Radio Science ,vol. 41,no. 4, pp. RS4S90-1-6 July-Aug. 2006. Telecom School District 3 IF 1.387
[5] GUI Renzhou, Application of adaptive beamformer based on weight iterative algorithm to suppress interferences, 2008, 30(4): 597-600. Engineering Technology Zone 4 IF 0.526
Results application and conversion
The ground wave radar receiver system design is completed and has been industrialized.
Completed the development of big data platform based on MongDB, and successfully applied to the smart city planning field of the spatial and temporal distribution of small and medium-sized enterprises in the Yangtze River Delta.
Completed the development of real-time detection equipment based on the safety hazards of tunnel underground space, which is in the process of industrialization