數據工程與科學學院

院長寄語

歡迎來到聖若瑟大學數據工程與科學學院（IDEAS）。

數據科學與工程致力研發以數據為中心的解決方案、演算法和理論，應用於高精尖的工程、商業、醫療和科學數據分析，以解決工程、科學和社會問題。

教育之本質在於賦予人們定義美好的能力和實現美的意志。在這裡，聖大數據工程與科學學院（IDEAS）致力於實現我們為了公眾利益進行教學、培訓和研究的核心使命。為了培養和訓練出今日及未來最優秀的數據科學家和數據工程師，我們為碩士、博士研究生和博士後研究提供綜合課程及研究項目，為研究生提供充滿活力和多樣化的環境以充分發揮他們的潛力，使其能夠成長為具有全球視野的頂尖創新人才。該學院為具有專業領域知識，如智慧老齡護理、商業分析、金融技術（FinTech）、智慧旅遊、健康資訊學和智慧城市技術的學生加固數據科學基礎。我們教授、開發和應用數據分析和人工智慧以提高社會的發展和繁榮民生。

世界一流大學的院系配置構成了數據工程與科學學院的基礎。我們與聖大各個學院和工業合作夥伴有著密切合作。此外，IDEAS中的許多兼職教授來自世界頂尖大學，並且都是各自領域的國際領導者。

聖若瑟大學是一所精心設計的小型、小巧精緻的大學。然而，聖大的研究範圍之廣泛，專業性、創造力和卓越性之強大。它屬於世上為數不多的大學，大到可以容納許許多多或大或小、無邊無際甚至“肆無忌憚”的夢想的地方。在這裡，我們尋求追夢者；我們相信，美好的夢想夢想賦予人力量，會帶來積極的態度，而積極的態度會帶來積極的結果。我們在所有工作中都秉承這個夢想。所以，奮鬥吧！

我們還有事業要完成，還要應對更多的挑戰。我們將努力做得更好。與我們一起進行這項重要的事業吧!

數據工程與科學學院近期出版

Wang, H., Wen, F., Wang, X., Du, W. and Gui, G., 2025. Hierarchical channel estimation for near-field spatial non-stationary channels: A pre-selection and multi-level dynamic threshold strategy. IEEE Transactions on Cognitive Communications and Networking.
Wang, H., Yan, T., Zhou, N., Li, X., Wen, F. and Du, W., 2025. Enhanced polar-domain channel estimation for near-field XL-MIMO in low-SNR scenarios. IEEE Transactions on Vehicular Technology.
Wang, H., Chen, Q., Wang, X., Du, W., Li, X. and Nallanathan, A., 2024. Adaptive Block Sparse Backtracking Based Channel Estimation for Massive MIMO-OTFS Systems. IEEE Internet of Things Journal.
Liang, S., Chen, T., Ma, J., Ren, S., Lu, X. and Du, W., 2024. Identification of mild cognitive impairment using multimodal 3D imaging data and graph convolutional networks. Physics in Medicine & Biology, 69(23), p.235002.
Nizamani, A.H., Chen, Z., Nizamani, A.A., Bhatti, M.A., Ma, H. and Du, W., 2024, December. Trans-EffNet: A Hybrid Model for Brain Tumor Detection Using EfficientNet and Transformer Encoder. In 2024 IEEE Smart World Congress (SWC) (pp. 1687-1692). IEEE
X. Wu, J. Shi, C. Chen, Q. Qian, J. Dai, NLMSA: Towards structure-aware image inpainting using nested linear and multi-scale attention, Neurocomputing, Volume 666 (2026) 132292.
X. Huang, G. Chen, L. Wu, Y. Zou, L. Zhang, S, Li, K. Li, Z. Jiang. Y. ZHang. X. Chen, W. Shum, J. Dai, H. Huang, M. Moses, X. Wu, Y. Wang, T. Jiang, Z. He, Q.Guo, W. Xue, H. Li, C. Chen, Coordinated regulation of pH alkalinization by two transcription factors promotes fungal commensalism and pathogenicity, Nature Communications, Volume 16, article number 7855, (2025)
I. Arraut, MOND formulation emerging from General Relativity, Mod.Phys.Lett.A 40 (2025) 30, 2550125.
I. Arraut, Solving the Dark Energy problem via Symmetry constraints, Eur.Phys.J.C 85 (2025) 5, 475.
I. Arraut, Local Equivalence of the Black–Scholes and Merton–Garman Equations, Axioms 14 (2025) 3, 215.

課程列表

博士學位課程

資訊系統

學院校職員

Alexandre Lobo

Vice-Rector | Coordinator of the Laboratory for Applied Neurosciences | Coordinator of the Master of Business Analytics

Vice-Rector for Research and Innovation. Full Professor. Founder of the Laboratory of Applied Neurosciences (LAN/USJ). President of the Board of Directors of the Macau Spin Incubation Center / USJ. Chief Academic Advisor of the National Research Base of Intelligent Manufacturing Services at Chongqing Technology and Business University, China. Honorary Research Fellow at the University of Leicester - UK. Visiting Associate Professor at the University of the Chinese Academy of Sciences (UCAS) - Shenzhen Institutes of Advanced Technologies (SIAT). Advisor of the Macau Startup Club. PhD in Engineering Federal University of Ceará (2010). Associate Professor and Software Department Chief at University Gregorio Semedo (UGS), Angola (2016). Associate Professor at University Lusiada of Angola (2009-2015). Master in Artificial Intelligence UFC (2007). Electrical Engineering UFC (1996). Has large experience in Project Management, Artificial Intelligence, Bioengineering, and Applied Computer Science, focusing on signal processing. RESEARCH AREAS - Neuroscience applied to management (marketing, leadership, performance) - Business Analytics - Big Data Applications - Theory of Constraints - Project management (frameworks, approaches, risk analysis techniques) - Digital Signal Processing - Bioengineering / Computer-Aided Diagnostic Systems - Artificial Intelligence - Deep Learning - Nonlinear analysis and dynamic systems.

George Du

Dean of the Institute for Data Engineering and Sciences | Professor

Professor George, Wencai DuOfficial Title: DeanFaculty: Institute for Data Engineering and SciencesEmail: george.du@usj.edu.moShort BioProfessor Dr. George Du is the Dean and Director of the Institute of Data Engineering and Sciences (IDEAS). He earned his bachelor’s degree from Peking University in 1978 and two master’s degrees from Hohai University in 1986 and Computer Sciences from Twente University, the Netherlands, in 1996, respectively. George Du registered for his doctoral studies at the University of Adelaide in 1996, then transferred his studies to the University of Queensland, finally earning his Ph.D. in Informatics from Adelaide University. He conducted Post-doctoral research in Computer Science at the Israel Institute of Technology (IIT). George Du was Chair Professor (2017-2021) and Founding Director of the Institute of Data Science (Now School of Data Sciences) at the City University of Macau (2017-2019) and Founding Director of the Macao Big Data Research Centre for Urban Governance (2017-2021). During his tenure at City University, Chair Professor Du created and taught Master’s and doctoral programs in Data Science and worked on advanced research projects with specialist teams and post-doctoral staff.Before joining City University, Professor Du Wencai served as the dean of the College of Information Science and Technology at Hainan University for 13 years. He was the first to propose the academic term "Maritime Communication" and initiated research in this field. In 2009, he led the approval of the first-level discipline of the PhD in Information and Communication Engineering by the Ministry of Education of China and served as the responsible professor. He also held the position of director of the Hainan Provincial Marine Communication and Network Engineering Research Center (2005-2019).His main research areas include computer sciences, communication and information systems, data sciences, and artificial intelligence, recently, with special interest in data-driven modelling, machine learning, smart elderly care, and data analytics. He has published over 200 academic articles in national and international journals and international conference proceedings published 20 books and 6 book chapters in the last 15 years, and earned one international invention patent and 15 national invention patents.Du’s national leadership activities include serving as a Member of the Selection Committee for the China State Natural Science Award (2013-present), a Member of the Selection Committee for the China State Technological Invention Award (2013-present), Chair of the Hainan Electronics Society (2005-2015),Chief Data Scientist in the Smart City Professional Association of China since 2019 and Vice-President of the AI Society of the Greater Bay Area since 2019.Professor Du has been an external reviewer for more than 30 national and international journals and as Editor of more than twenty international journals and international conference proceedings. He has chaired nine IEEE international conferences and has been invited to give more than 20 keynotes at IEEE international conferences.