| Muhammad Jawad Hussain 硕士生导师 | |
所在系室: | 智能信息技术研究中心/智慧医疗 | |
办公地点: | 34号楼B511 | |
联系方式: | ||
研究方向: | Environmental Data Science: Machine Learning-Based Prediction of Air Pollution and Its Health Impacts | |
个人简介 |
Muhammad Jawad Hussain, Male, born in Pakistan. I received my Ph.D. degree in the Theory and Technology of Service Computing from South China Normal University, Guangzhou, China, in 2020. Member of the American Geophysical Union (AGU), specializing in the field of Remote Sensing and Environmental Informatics. My current research focuses on forecasting, exposure, and assessing the health impacts of environmental air pollution using machine learning and deep learning techniques. I have successfully led multiple research projects, including the Research Fund for International Young Scientists supported by the National Natural Science Foundation of China, Foreign Expert Project supported by the Ministry of Science and Technology of China, and the Jiangsu Province Foreign Expert Studio Project. |
教授课程 |
医用Python程序设计(医学院本科生) |
项目资助 |
[1] 国家自然科学基金委员会, Research Fund for International Young Scholar (62350410481), Research on Cardiovascular diseases by incorporating unstructured and structured data in electronic health records (EHRs) and introducing novel information content-based contextualized word-embeddings, 2024 – 2025, 20万,主持 [2] 国家外国专家项目, 基于信息量词嵌入和电子病历的心血管疾病诊断研究,2023, 10万,主持 |
代表性成果 |
论文/专著: [1] Hussain MJ*, Seong M, Shahid B, Bai H. Estimating PM2.5 Exposures and Cardiovascular Disease Risks in the Yangtze River Delta Region Using a Spatiotemporal Convolutional Approach to Fill Gaps in Satellite Data. Toxics, 2025; 13(5): 392. (SCI, 中科院3区) [2] Heming Bai*, Junjie Song, Huiqun Wu, Rusha Yan, Wenkang Gao, Muhammad Jawad Hussain*, Assessment of personal exposure using movement trajectory and hourly 1-km PM2.5 concentrations, Journal of Applied Remote Sensing, 2023, 18(1), 012003. (中科院4区) [3] Muhammad Jawad Hussain*, Heming Bai; Shahbaz Hassan Wasti, Guangjian Huang, Yuncheng Jiang*, Evaluating semantic similarity and relatedness between concepts by combining taxonomic and nontaxonomic semantic features of WordNet and Wikipedia, Information Sciences, 2023, 625, 673-699. (中科院2区) [4] Muhammad Jawad Hussain*, and Heming Bai; Yuncheng Jiang*; Wikipedia bi-linear link (WBLM) model: A new approach for measuring semantic similarity and relatedness between linguistic concepts using Wikipedia link structure, Information Processing & Management, 2023, 60(2), 103202. (SCI, 中科院1区,TOP期刊) [5] M.J. Hussain, S.H Wasti, G. Huang, L. Wei, Y. Jiang*, Y. Tang: An approach for measuring semantic similarity between Wikipedia concepts using multiple inheritances, Information Processing & Management, 2020, 57(3), 102188. (SCI, 中科院1区,TOP期刊) |
学术服务 |
无 |
获奖信息 |
无 |
指导研究生情况/招生需求 |
Each year, we plan to recruit one academic master's student in the field of Information and Communication Engineering, who will mainly be engaged in research on environmental remote sensing to monitor and investigate the impacts of air pollution on human health. |

