PROGRAM OVERVIEW

Eligibility：

1）Abide by the laws of the People's Republic of China; have good behaviors and in good physical and mental health; have a rigorous academic attitude and qualified on cooperation.

2）Develop high-level ability of innovation, remarkable knowledge structure, and strong ability of analysis and problem solving. Master the basic theories and advanced technical methods in related areas; familiar with domestic and international latest theory development; qualified to comprehensively apply the theories to solve real problems independently.

3）Proficiency in Chinese, with skilled writing and capable of communicating in international academic communities.

Cultivating mode:

The training of doctoral students is implementing the doctoral supervisor responsibility system, and combines with the collective training method. School uses a method of combining courseware and scientific research, and emphasis on scientific research. The doctoral supervisor is responsible for formulating the personal research plan and implementing the plan during the study process.

Research directions: There are three research directions include urban survey engineering, urban remote sensing, and urban modeling and analysis.

1. Urban Survey engineering: research on urban surveying theories and methods, precision engineering survey technology and equipment, and its application on complex built environment in urban ground and underground. The research contents include: 1) Indoor and outdoor Integral locating and navigation. Integrate multiple locating technologies such as satellites, communications, inertial navigation, and vision to study the theories and methods of indoor mapping and integral locating and navigation in architectural spaces. 2) Urban underground engineering and pipeline survey. The technology and methods of study urban underground space, underground engineering and pipeline precision measurement and state perception. 3) Safety monitoring of urban buildings and infrastructure. Research on multi-sensor integrated measurement and monitoring, which based on study of platforms like unmanned aerial vehicles, unmanned vehicles, robots, backpacks, and capsules.

2. Urban Remote Sensing: explore the theories, technologies and methods of multi-source remote sensing technology in urban construction elements, natural resources, ecological environment monitoring, and disaster early warning. The research content includes: 1) Urban multi-source remote sensing data fusion and information extraction. Research theories, techniques and methods of optical, thermal infrared, SAR, LIDAR and other multi-source data fusion and information extraction. 2) Urban resource monitoring and environmental perception. Research on the monitoring and sensing technologies and methods of urban built elements (buildings, infrastructure, etc.) and its resources and environment (vegetation, soil, water, atmosphere, etc.). 3) Urban ecological environment assessment and disaster early warning. Based on remote sensing and spatial information technology, research on urban human settlement ecological environment assessment methods and urban disasters (floods, landslides, ground subsidence, etc.) early warning technologies.

3. Urban modelling and analysis: Research on theories evolution and methods of complex urban systems in time and space, and use space as a carrier to integrate urban multi-source information modeling and analysis methods. 1) Three-dimensional (3D) modeling and visualization of urban space. Research on theories and methods of 3D modeling and visualization of urban ground and underground spaces and buildings, which based on multi-source perception methods. 2) Big data analysis and discovering of urban spatial-temporal. Research on the theories and methods of spatial-temporal big data fusion, analysis and discovering for urban human settlements, social and cultural issues. 3) Urban space optimization and intelligent decision. Research on theories and methods of intelligent decision for urban land use arrangement, infrastructure optimization, function coordination, operational services and other urban spatial planning.

CORE COURSES

Smart City Technology and Application, State-of-the-art Remote Sensing Technology, Frontiers of Urban Spatial Information, Scientific Methods and Paper Writing, Basic Chinese, Overview of China, Professional English

CAREER PROSPECTS

Opportunity to enter well-known high-tech companies, such as Huawei and Tencent, or enter a post-doctoral joint training base.

Consultation

Email: [email protected]

英文名

Huang, Zhengdong

聯系郵箱

h[email protected]

中文簡介

荷蘭烏特勒支大學博士，深圳大學智慧城市研究院常務院長，深圳大學建筑與城市規劃學院副院長，深圳市地方領軍人才、國家注冊城市規劃師。擔任中國地理信息產業協會城市空間信息工作委員會秘書長。主要從事地理信息、城市交通、智慧城市等領域的教學與科研工作。先后主持在研國家重點研發計劃項目、國家863計劃課題及國家自然科學基金項目。撰寫專著2部，發表論文90余篇。招生方向：交通大數據分析、公共交通線網優化、交通-土地利用模型。

英文簡介

Dr. Zhengdong Huang is a professor and PhD supervisor at Shenzhen University. He is the executive director of Research Institute for Smart Cities (RISC) and associate dean of School of Architecture and Urban Planning at Shenzhen University. Dr. Huang has been certified as a High-Level Professional in Shenzhen and an Urban Planner in China. He is secretary general of Urban Informatics Working Committee of China Association for Geographic Information Society. His major research areas include GIS, urban transport, and smart city. Dr. Huang is the PI of a project of the National Key R&D Program of China, a (sub)project of the national high-tech development (863) program of China, three National Natural Science Foundation of China (NSFC) projects. He is the author of two books and over 90 scientific papers. Looking for candidates on transport data analysis, transit route network optimization, and landuse-transport modeling.

英文名

Chisheng Wang

聯系郵箱

[email protected]

中文簡介

深圳市優秀青年基金獲得者、深圳市孔雀計劃高層次人才、荔園優青學者。自然資源部大灣區地理環境監測重點實驗室副主任。研究方向為衛星圖像處理、智慧城市應用等。本科畢業于北京師范大學地理信息系統專業，碩士畢業于中國科學院遙感應用研究所地圖學與地理信息系統專業，博士畢業于香港理工大學土地測量及地理資訊學系。曾在University of Twente從事高級訪問學者工作。第一/通訊作者在《RSE》、《ISPRS》、《TGRS》等國內外知名期刊發表論文50余篇，引用次數1500余次，一作高被引論文1篇。參編國家標準1項（第7），授權中國發明專利10項（第1），授權美國專利1項（第3），編著英文論文集1本。近年來，主持國家自然科學基金面上項目2項、國家自然科學基金青年項目1項、深圳市優秀科技創新人才培養項目1項等。獲廣東省科學技術獎一等獎1項（第6），廣東省教育教學成果（高等教育類）獎特等獎1項（第5），測繪科技進步一等獎1項（第2），發明創業獎創新項一等獎1項（第5）等。

英文簡介

Chisheng Wang serves as the vice director of the Key Laboratory for Geo-Environmental Monitoring of Great Bay Area, MNR. His research interests include remote sensing image processing and smart city development. He received the B.S. degree from Beijing Normal University, Beijing, China, the M.S. degree from the Institute of Applied Remote Sensing, Chinese Academy of Science, Beijing, and the Ph.D. degree from the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. Between 2022 and 2023, he worked as a visiting researcher at the University of Twente, Netherlands. He is currently an Associate Professor with the School of Architecture & Urban Planning, Shenzhen University, Shenzhen, Guangdong, China. He has published more than 50 peer-reviewed papers in high impact journals, including “ISPRS journal”, “IEEE TGRS”, “RSE”, “SRL”, and “GJI”. He has served as reviewers for more than 10 SCI journals, and been PIs for several competitive grants, which include two programs from NSFC, two programs of China Postdoctoral Science Foundation, and several programs from Guangdong Province and the city of Shenzhen.

英文名

Jizhe Xia

聯系郵箱

x[email protected]

中文簡介

助理教授，深圳大學荔園優青學者，ACM SIGSPATIA SRC 共同主席，深圳市空間信息智能感知與服務重點實驗室副主任。2015 年獲美國喬治梅森大學地球系統與地理信息科學專業博士學位。2017年6月起任深圳大學助理教授，現主持國家自然科學基金面上項目、國家重點研發計劃子課題等基金多項；以第一或通訊作者在柳葉刀-數字醫療（IF 24.519）、測繪學報、IJGIS、CEUS等領域內權威期刊發表論文15篇（高被引1篇）；研究成果得到《Nature》與《PNAS》等高水平論文的引用，并獲新華社《新華網》、《光明日報》與香港《明報》等國家地方媒體的報道；受邀擔任《National Science Review》、《Nature Human Behavior》、《Nature Communications》等期刊審稿人。

英文簡介

I am an assistant professor at Shenzhen University, China. My research interests include Geo-Computation and its applications in public health. My research about COVID-19 risk mapping was published at <The Lancet Digital Health>, reported national media (e.g., “Xinhua News”), and cited by total journal papers from <Nature>, <PNAS> and <Nature Human Behavior>. As PI and Co-PI, I received over 500 million (RMB) research funding from various organizations. Since 2020, I served as SRC Co-Chair for ACM SIGSPATIAL, and deputy director for Shenzhen Key Laboratory of Spatial Smart Sensing and Services.

英文名

Renzhong Guo

聯系郵箱

g[email protected]

中文簡介

博士、教授、博士生導師，地理信息工程專家，中國工程院院士，國際歐亞科學院院士。郭仁忠長期從事地理信息技術理論研究和工程應用，90年代初在國內最早進行地理信息空間分析研究，出版了該領域國內最早的理論專著《空間分析》，是中國地理信息系統空間分析理論研究的主要探索者和國土資源管理信息化的主要開拓者。近年來，郭仁忠帶領團隊聚焦基于虛擬城市環境的智慧城市大數據平臺技術研發，是地理信息技術支撐城市發展的最新前沿領域。

英文簡介

Professor and doctor in geographic information engineering, academician of Chinese Academy of Engineering and International Eurasian Academy of Sciences. In recent years, Renzhong Guo has led the team to focus on the research and development of smart city platform technology based on virtual city environment and urban big data, which is the most frontier direction of geographic information technology.

英文名

Wei Tu

聯系郵箱

[email protected]

中文簡介

涂偉是深圳市孔雀計劃人才、國際攝影測量與遙感協會WG IV/10共同主席、荔園優秀青年學者、麻省理工學院訪問學者。 研究方向為城市空間智能與城市出行。拓展時空GIS，提出融合多源時空數據的群體活動，城市功能、空間活力等城市動態感知方法，發展了基于動態規律的時空優化模型與方法，在交通、物流、規劃領域實現了深入應用。主持\參與省部級以上課題10余項目。發表論文70余期刊論文，其中SSCI/SCI論文50余篇，ESI高被引論文4篇。獲得教育部科技進步二等獎（2019）和地理信息科技進步一等獎（2014、2015）。

英文簡介

Prof. Tu is the Shenzhen Peacock Project talents, co-chair of International Photogrammetry and Remote Sensing WG IV/10, young scholars of  Shenzhen University. He is also a visiting scholar of Senseable City Lab, MIT. His research focuses on urban artificial intelligence and urban mobility.  He extended spatial-temporal GIS and fused multi-sourced urban data (i.e., mobile phone data, smart card data, social media data, vehicle GNSS trajectories, etc.) to sense human activities, urban functions, and spatial vibrancy, which captures the urban dynamic. He also develop several urban dynamic driven optimization methods for urban mobility, transportation and logistics, and urban planning. He is the PI or Co-PI of more than 10 national- and provincial- research projects. He published more than 70 journal articles, including 4 ESI highly cited papers. He has been awarded the second prize of the Ministry of Education for Science and Technology Progress (2019) and the first prize of Geographic Information Technology Progress of China GIS society (2014, 2015).

英文名

dejin Zhang

聯系郵箱

d[email protected]

中文簡介

教授，博士生導師，研究方向為組合導航定位、人工智能、動態精密工程測量。

英文簡介

Professor, doctoral supervisor, research interests include integrated navigation and positioning, artificial intelligence, dynamic and precision engineering surveying.

英文名

Xiaoming Li

聯系郵箱

[email protected]

中文簡介

深圳大學副教授，深圳市后備級高層次專業人才。長期從事三維地理信息系統、虛擬城市環境等領域的技術與應用研究工作，研究方向為城市三維建模與更新、虛擬城市環境構建、時空大數據管理與調度等。主持國家自然科學基金項目2項、國家重點研發計劃項目子課題1項，省自然基金項目1項、國家重點實驗室開放基金1項等，已發表學術論文30余篇，申請專利20余項（已授權發明專利15項），申請軟件著作權4項，參與出版專著1部，獲地理信息科技進步獎一等獎1項。

英文簡介

Xiaoming Li is associate professor at Shenzhen University, and has been awarded the reserve high-level professional talent of Shenzhen. He has been engaged in the research of 3D Geographic Information System and virtual urban environment for a long time. His research interests mainly include 3D urban modeling and updating, virtual urban environment construction, space-time big data management and scheduling, etc. Xiaoming Li has been PI over two national Natural Science Foundation of China projects, one national key research and Development Program sub-project, one provincial Natural Science Foundation project and one State Key Laboratory Open Fund, etc. He has published more than 30 academic papers, applied for more than 20 patents (15 authorized invention patents) and 4 software Copyrights. Also participated in the publication of a monograph, and won the first prize of a geographical information technology progress award.

英文名

Weixi Wang

聯系郵箱

[email protected]

中文簡介

王偉璽，男，1978年生，博士后、副教授，深圳市地方級高層次領軍人才，現為深圳大學智慧城市研究院院士助理、建筑與城市規劃學院城市空間信息工程系副系主任。主要研究方向為智慧城市、攝影測量、三維模型重建、虛擬城市環境等。近年來公開出版學術專著1部，發表學術論文40余篇；先后主持國家級課題4項、省部級基金項目4項，軍工類項目2項，主要參與各類國家級、省部級科技項目10余項、深圳市項目8項；獲得省部級科技進步獎4項。

英文簡介

Weixi Wang, male, born in 1978, associate professor and was rated as a local high-level leading talent in Shenzhen. Currently he is assistant of academician of Smart City Research Institute of Shenzhen University and served as deputy director of the Department of urban informatics, School of architecture & urban planning. His research interests include smart cities, photogrammetry, 3D model reconstruction and virtual urban environments, etc. In recent years, he published one academic monograph and more than 40 academic papers. He is PI for four national projects, four provincial fund projects and two military projects. It has mainly participated in more than ten national provincial and ministerial science and technology projects and eight Shenzhen projects. He has won four provincial and ministerial awards for scientific and technological progress.