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

Email

huangwhu@126.com

Introduction

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.

Email

wangchisheng@szu.edu.cn

Introduction

Chisheng Wang received the B.S. degree from Beijing Normal University, Beijing, China, in 2007, the M.S. degree from the Institute of Applied Remote Sensing, Chinese Academy of Science, Beijing, in 2010, and the Ph.D. degree from the Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Kowloon, Hong Kong. He is currently an Associate Professor with the School of Architecture & Urban Planning, Shenzhen University, Shenzhen, Guangdong, China. His research interests include remote sensing image processing and smart city development. 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.

Email

xiajizhe@szu.edu.cn

Introduction

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.

Email

guorz@szu.edu.cn

Introduction

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.

Email

tuwei@szu.edu.cn

Introduction

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).

Email

dejinzhang@szu.edu.cn

Introduction

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

Email

lixming@szu.edu.cn

Introduction

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.

Email

risc@szu.edu.cn

Introduction

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.