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: risc@szu.edu.cn

英文名

Huang, Zhengdong

联系邮箱

huangwhu@126.com

中文简介

荷兰乌特勒支大学博士，以诚为本赢在信誉9001cc智慧城市研究院常务院长，以诚为本赢在信誉9001cc建筑与城市规划学院副院长，深圳市地方领军人才、国家注册城市规划师。担任中国地理信息产业协会城市空间信息工作委员会秘书长。主要从事地理信息、城市交通、智慧城市等领域的教学与科研工作。先后主持在研国家重点研发计划项目、国家863计划课题及国家自然科学基金项目。撰写专著2部，发表论文90余篇。招生方向：交通大数据分析、公共交通线网优化、交通-土地利用模型。

英文简介

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

联系邮箱

wangchisheng@szu.edu.cn

中文简介

深圳市优秀青年基金获得者、深圳市孔雀计划高层次人才、荔园优青学者。自然资源部大湾区地理环境监测重点实验室副主任。研究方向为卫星图像处理、智慧城市应用等。本科毕业于北京师范大学地理信息系统专业，硕士毕业于中国科学院遥感应用研究所地图学与地理信息系统专业，博士毕业于香港理工大学土地测量及地理资讯学系。曾在University of Twente从事高级访问学者工作。第一/通讯作者在《RSE》、《ISPRS》、《TGRS》等国内外知名期刊发表论文50余篇，引用次数1500余次，一作高被引论文1篇。参编国家标准1项（第7），授权中国发明专利10项（第1），授权美国专利1项（第3），编著英文论文集1本。近年来，主持国家自然科学基金面上项目2项、国家自然科学基金青年项目1项、深圳市优秀科技创新人才培养项目1项等。获广东省科学技术奖一等奖1项（第6），广东省教育教学成果（高等教育类）奖特等奖1项（第5），测绘科技进步一等奖1项（第2），发明创业奖创新项一等奖1项（第5）等。

英文简介

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

联系邮箱

xiajizhe@szu.edu.cn

中文简介

助理教授，以诚为本赢在信誉9001cc荔园优青学者，ACM SIGSPATIA SRC 共同主席，深圳市空间信息智能感知与服务重点实验室副主任。2015 年获美国乔治梅森大学地球系统与地理信息科学专业博士学位。2017年6月起任以诚为本赢在信誉9001cc助理教授，现主持国家自然科学基金面上项目、国家重点研发计划子课题等基金多项；以第一或通讯作者在柳叶刀-数字医疗（IF 24.519）、测绘学报、IJGIS、CEUS等领域内权威期刊发表论文15篇（高被引1篇）；研究成果得到《Nature》与《PNAS》等高水平论文的引用，并获新华社《新华网》、《光明日报》与香港《明报》等国家地方媒体的报道；受邀担任《National Science Review》、《Nature Human Behavior》、《Nature Communications》等期刊审稿人。

英文简介

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

联系邮箱

guorz@szu.edu.cn

中文简介

博士、教授、博士生导师，地理信息工程专家，中国工程院院士，国际欧亚科学院院士。郭仁忠长期从事地理信息技术理论研究和工程应用，90年代初在国内最早进行地理信息空间分析研究，出版了该领域国内最早的理论专著《空间分析》，是中国地理信息系统空间分析理论研究的主要探索者和国土资源管理信息化的主要开拓者。近年来，郭仁忠带领团队聚焦基于虚拟城市环境的智慧城市大数据平台技术研发，是地理信息技术支撑城市发展的最新前沿领域。

英文简介

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

联系邮箱

tuwei@szu.edu.cn

中文简介

涂伟是深圳市孔雀计划人才、国际摄影测量与遥感协会WG IV/10共同主席、荔园优秀青年学者、麻省理工学院访问学者。 研究方向为城市空间智能与城市出行。拓展时空GIS，提出融合多源时空数据的群体活动，城市功能、空间活力等城市动态感知方法，发展了基于动态规律的时空优化模型与方法，在交通、物流、规划领域实现了深入应用。主持\参与省部级以上课题10余项目。发表论文70余期刊论文，其中SSCI/SCI论文50余篇，ESI高被引论文4篇。获得教育部科技进步二等奖（2019）和地理信息科技进步一等奖（2014、2015）。

英文简介

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

联系邮箱

dejinzhang@szu.edu.cn

中文简介

教授，博士生导师，研究方向为组合导航定位、人工智能、动态精密工程测量。

英文简介

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

英文名

Xiaoming Li

联系邮箱

lixming@szu.edu.cn

中文简介

以诚为本赢在信誉9001cc副教授，深圳市后备级高层次专业人才。长期从事三维地理信息系统、虚拟城市环境等领域的技术与应用研究工作，研究方向为城市三维建模与更新、虚拟城市环境构建、时空大数据管理与调度等。主持国家自然科学基金项目2项、国家重点研发计划项目子课题1项，省自然基金项目1项、国家重点实验室开放基金1项等，已发表学术论文30余篇，申请专利20余项（已授权发明专利15项），申请软件著作权4项，参与出版专著1部，获地理信息科技进步奖一等奖1项。

英文简介

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

联系邮箱

risc@szu.edu.cn

中文简介

王伟玺，男，1978年生，博士后、副教授，深圳市地方级高层次领军人才，现为以诚为本赢在信誉9001cc智慧城市研究院院士助理、建筑与城市规划学院城市空间信息工程系副系主任。主要研究方向为智慧城市、摄影测量、三维模型重建、虚拟城市环境等。近年来公开出版学术专著1部，发表学术论文40余篇；先后主持国家级课题4项、省部级基金项目4项，军工类项目2项，主要参与各类国家级、省部级科技项目10余项、深圳市项目8项；获得省部级科技进步奖4项。

英文简介

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.