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ResumeAssociate Professor | Master's and doctoral supervisor School of Land Engineering, Chang'an University ◆ Email: mingliu@chd.edu.cn ◆ Google Scholar | ResearchGate ---------------------------------------------------------------------------------------------------------------------- Academic Appointments ◆ Jan 2024 – Present Associate Professor, School of Land Engineering, Chang'an University ◆ Dec 2020 – Dec 2023 Assistant Professor, School of Land Engineering, Chang'an University Education ◆ PhD in Geography (Sep 2017 – Oct 2020) University of Waterloo, Canada Supervisor: Prof. Jonathan Li (Fellow of the Royal Society of Canada, Canadian Academy of Engineering, and Engineering Institute of Canada; IEEE Fellow) ◆ MSc in Geomatics (Sep 2014 – Jun 2017) China University of Geosciences (Beijing), China Supervisor: Prof. Xiangnan Liu(Distinguished Professor) ◆ BSc in Geographic Information Science (Sep 2010 – Jun 2014) China University of Geosciences (Beijing), China ------------------------------------------------------------------------------------------------------------------------ Research Interests Environmental Remote Sensing Modeling and Applications: ◆ Remote sensing modelling ◆ Environmental justice/inequality ◆ Air pollution and health impact ◆ Machine learning applications in geospatial analysis ------------------------------------------------------------------------------------------------------------------------ PhD Recruitment We Seek Motivated Doctoral Candidates! ◆ Research Areas: Environmental remote sensing modeling | Geospatial AI applications ◆ Requirements: ○ Master's degree in GIS/RS/Geoscience/Computer science or related fields ○ Strong programming skills (Python/Matlab/R) ○ Experience in satellite data processing (ENVI/ArcGIS/QGIS) ○ Publication record in SCI journals (preferred) ◆ Application: Send CV to mingliu@chd.edu.cn. Priority given to applicants with matching research interests ------------------------------------------------------------------------------------------------------------------------ Academic Principles ◆ Gender-neutral and first-education-blind recruitment policy ◆ Strict adherence to COPE authorship guidelines ◆ Zero tolerance for academic misconduct ----------------------------------------------------------------------------------------------------------------------- Join Our Team! We particularly encourage applications from international students with strong RS and GIS backgrounds. Let's advance geospatial technologies for sustainable development!
Social positionResearchMy current research mainly focuses on envrionemtnal remote sensing, environmental justice and quantitative earth observations. Open Course“Land Information System Development ” “GIS Development Applications” “Big Data in Natural Resources” Research project◆ PI, National Natural Science Foundation of China Youth Program PM2.5 Environmental Inequality in China (2024–2026, Ongoing) ◆ PI, Shaanxi Association for Science and Technology Young Talent Program Urban-Rural PM2.5 Disparities (2023–2024, Completed) ◆ PI, Shaanxi Provincial Natural Science Foundation Youth Project AI-Driven PM2.5 Estimation and Health Impacts (2022–2023, Completed) ◆ PI, Sub-project of the Major Science and Technology Program of the China National Space Administration Aerial Remote Sensing for Desertification Monitoring (2021–2022, Completed) ◆ PI, 3 Projects under the Central Universities’ Fundamental Research Funds ○Satellite-based Environmental Justic under Air Pollution (2024–2026, Ongoing) ○Multi-Dimensional Eco-Monitoring in the Yellow River Basin (2022–2023, Completed) ○Vegetation Impacts on PM2.5 pollution (2020–2021, Completed) ◆ Participant, Shaanxi Provincial Key R&D Program Carbon Neutrality and Biodiversity in Shaanxi (2022–2024, Completed) ThesisFirst/Corresponding author: Ming Liu, Ronghui Hao, Ling Han, Gaoxiang Zhou*, Liangzhi Li, An integrated economic-ecological index based on satellite-derived carbon sequestration and carbon price: A case study during 2015–2020 in Shaanxi, China, 2023,153, 110458. (SCI, JCR Q1) Ming Liu, Gaoxiang Zhou, Lingfei Ma*, Liangzhi Li, Qiong Mei, SIFNet: A self-attention interaction fusion network for multisource satellite imagery template matching. International Journal of Applied Earth Observation and Geoinformation, 2023, 118: 103247.(SCI, JCR Q1) Ming Liu*, Yang Wang, Ruochen Liu, Chao Ding, Gaoxiang Zhou, Ling Han, How magnitude of PM2. 5 exposure disparities have evolved across Chinese urban-rural population during 2010–2019. Journal of Cleaner Production, 2023 382: 135333.(SCI, JCR Q1) Ming Liu, Rebecca K. Saari*, Gaoxiang Zhou, Xiangnan Liu, Jonathan Li, Recent trends in premature mortality and health disparities attributable to ambient PM2.5 exposure in China: 2005–2017. Environmental Pollution, 2021: 116882.(SCI, JCR Q1) Ming Liu, Rebecca K. Saari*, Gaoxiang Zhou, Xiangnan Liu, Jonathan Li*, Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China, Atmospheric Environment, 2020 238:117745.(SCI, JCR Q1) Ming Liu, Gaoxiang Zhou, Rebecca K. Saari, Sabrina Li, Xiangnan Liu, Jonathan Li*, Quantifying PM2.5 mass concentration and particle radius using satellite data and an optical-mass conversion algorithm, ISPRS Journal of Photogrammetry and Remote Sensing, 2019 158: 90-98.(SCI, JCR Q1) Ming Liu, Xiangnan Liu*, Meiling Liu, Feng Liu, Ming Jin, Ling Wui, Root mass ratio: index derived by assimilation of synthetic aperture radar and the improved World Food Study model for heavy metal stress monitoring in rice, Journal of Applied Remote Sensing, 2016, 10(2): 026038.(SCI, JCR Q4) Ming Liu, Ziyan Liu, Gaoxiang Zhou, Ying Wang, Xuanchen Liu, Ling Han,Spatiotemporal Disparity and Environmental Inequality in Fossil Fuel Carbon Emissions in China: 2010-2019, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2023), 2099-2102, Pasadena, USA, July 16-21, 2023.(EI, International Conference) Gaoxiang Zhou, Ming Liu*, Xiangnan Liu, An autoencoder-based model for forest disturbance detection using Landsat time series data. International Journal of Digital Earth, 2021 14(9): 1087-1102.(SCI, JCR Q1) Ming Liu,Gaoxiang Zhou, Rebecca K. Saari, Jonathan Li*, Long-term trend of ground-level PM2.5 concentrations over 2012-2017 in China, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019), 7842-7845, Yokohama, Japan, July 28 - Aug 2, 2019.(EI, International Conference) Co-author： Hongye Cao, Ling Han, Ming Liu, Liangzhi Li, Spatial differentiation of carbon emissions from energy consumption based on machine learning algorithm: A case study during 2015–2020 in Shaanxi, China, Journal of Environmental Sciences, 2023. (SCI, JCR Q1) Chao Ding, Wenjiang Huang, Ming Liu, Shuang Zhao, Change in the elevational pattern of vegetation greenup date across the Tianshan Mountains in Central Asia during 2001–2020. Ecological Indicators, 2022 136: 108684.(SCI, JCR Q1) Gaoxiang Zhou, Xiangnan Liu*,Ming Liu, Assimilating Remote Sensing Phenological Information into the WOFOST Model for Rice Growth Simulation. Remote Sensing, 2019, 11(3): 268.(SCI, JCR Q1) Gaoxiang Zhou, Xiangnan Liu*, Shuang Zhao,Ming Liu, Ling Wu, Estimating FAPAR of rice growth period using radiation transfer model coupled with the WOFOST model for analyzing heavy metal stress. Remote Sensing, 2017, 9(5): 424.(SCI, JCR Q1) Lingwen Tian, Xiangnan Liu*, Biyao Zhang, Ming Liu, Ling Wu, Extraction of rice heavy metal stress signal features based on long time series leaf area index data using ensemble empirical mode decomposition. International Journal of Environmental Research and Public Health, 2017, 14(9): 1018.(SCI, JCR Q2) Narges Fatholahi, Yue Gu,MingLiu, Lingfei Ma, Yiping Chen, Jonathan Li*, Estimating PM2.5 Concentrations in British Columbia, Canada During Wildfire Season Using Satellite Optical Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 1: 71-79. (EI, International Conference) Gaoxiang Zhou, MingLiu, Xiangnan Liu*, Jonathan Li, Combination of Crop Growth Model and Radiation Transfer Model with Remote Sensing Data Assimilation for FAPAR Estimation, IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 1882-1885, Valencia, Spain, July 22-27, 2018.(EI, International Conference) Mengge Chen, Yue Gu, MingLiu, Jonathan Li*, Estimating PM 2.5 in British Columbia Before and After Wildfires using 3 KM Modis AOD Products from February to August 2017. IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018), 7585-7588, Valencia, Spain, July 22-27, 2018. (EI, International Conference) Technological AchievementsHonor RewardWork experienceChang'an University, Associate Professor, 2024 to present Chang'an University, Assistant Professor, 2020 to 2023 |