News

The demand for professional data scientists is booming and will grow further with the emergence of data collection and analysis in various sectors such as business, government, security, healthcare, biology, science, and the environment. The MSc in Data Science programme has set up the Capstone project as an elective graduation project, in order to help students better integrate theory and practice. Students can choose a supervisor according to their interests. And they will study and discuss practical problems together, and apply their knowledge to works.

As an elective graduation project, Capstone is designed to help students achieve experiential learning by applying the analytical methods, techniques, and tools learned throughout the project to real-world problems. Leveraging the vibrant business and technology markets in the Guangdong-Hong Kong-Macao Greater Bay Area, students will collaborate with real business customers to develop solutions and present results, insights and recommendations.

On September 3, 2022, in order to let students better understand the research direction and field of each supervisor, the programme invited 15 professors to introduce their research areas and topics through an online meeting to help students better understand and plan their course selection and topic selection.

Prof. Zhang Bohui – School of Management and Economics

Research fields: Role of information intermediaries on capital markets, Chinese and foreign capital markets, and Fintech

Research fields in Capstone: Thermal radiation data of companies / Nighttime lighting data of companies/ Parking space usage data of companies

Prof. Mao Jianfeng – School of Data Science

Research fields: Data-Driven network modeling and optimization, Multi-agent discrete event dynamic systems, Smart transportation and logistics systems

Research fields in Capstone: Data-Driven General Project Management/ Simulation Model/ Simulation-Based Optimization 

Prof. Ding Hongqiang – School of Data Science

Research fields: Machine Learning/Data Mining, Bioinformatics, Information Retrieval, Web Link Analysis, High Performance Computing

Research fields in Capstone: Feature selection applications, Coefficient coding and applications, Data restoration

Prof. Wu Zhizheng – School of Data Science

Research fields: Speech Processing, Speech Synthesis, DeepFake Detection

Research fields in Capstone: Accent conversion, Audio splicing position, Video-Audio Fake Detection

Prof. Fan Jicong – School of Data Science/ Shenzhen Research Institute of Big Data

Research fields: Machine Learning, Computer Vision, Optimization, Neuroscience Signal Processing and Data Analysis

Research fields in Capstone: Affiliate Recommender System: Taking Taobao and Weibo as examples, Tensor method, Clustering

Prof. Ji Dongxu – School of Science and Engineering

Research fields: New energy science and engineering, Energy management, Energy economics, Thermal analysis and design, Machine learning and Thermoelectric generator

Research fields in Capstone: Parameter identification (PV-TEG Hybrid System), Health Status Prognosis (Lithium battery/Fuel cell), PV panel parameter estimation

Dr. Xiong Xi – Shenzhen Research Institute of Big Data

Research fields: Intelligent Networked Transportation System and Smart City

Research fields in Capstone: Intelligent Road Network System, Smart Vehicles

Prof. Ming Liu – School of Management and Economics

Research fields: Evidence-based Operation Management, Intersection of Economics and Operations Management

Research fields in Capstone: Platform Economy, Resource Allocation in Digital Transformation: Education, culture and people

Prof. Cao Yi – School of Management and Economics

Research fields: Voluntary disclosure, corporate governance, earnings quality, capital markets

Research fields in Capstone: Credit risk model analysis, Labor market manpower disclosure information access, AI and Disclosure Quality Assessment

Prof. Sui Pengfei – School of Management and Economics

Research fields: Asset pricing, behavioral finance, financial market frictions, empirical industrial organization, computational economics

Research fields in Capstone: Revenue extrapolation, Research on investors' behavior on social networks, Behavioral patterns of investment decisions (disposition effects)

Dr. Zhou Rui – Shenzhen Research Institute of Big Data

Research fields: Optimization algorithm, Statistical signal processing

Research fields in Capstone: Theory-based portfolio, Reality-based portfolio, Covariance matrix estimation

Dr. Li Hang – Shenzhen Research Institute of Big Data

Research fields: Wireless Communication and Networking, Applications of Machine Learning

Research fields in Capstone: wifi indoor sensing, automatic attendance, drone cruising

Prof. Wu Baoyuan – School of Data Science/ Shenzhen Research Institute of Big Data

Research fields: Artificial Intelligence Security Privacy, Computer Vision, Machine Learning and Optimization

Research fields in Capstone: Big data, artificial intelligence security framework; Artificial Intelligence Endogenous Security; Risk of privacy breach; Fake videos

Prof. Luo Xiaodong – Shenzhen Research Institute of Big Data

Research fields: Research and implementation of mathematical planning solution algorithms, such as continuous linear programming theory, original pairwise subproblem column generation methods, applied statistics, combinatorial optimization, etc. Focus on the application of optimization in the field of aviation and in the supply chain

Research fields in Capstone: Learning optimization theory, methods and their application in the field of 5G; smart city; logistics inventory management; student management system for smart campus

Prof. Zhangqiang – School of Management and Economics

Research fields: Content marketing, e-commerce, consumer search behavior, digital marketing, social media, data-driven marketing

Research fields in Capstone: Video highlight information collection to explore the effective design of video player