Postdoctoral Researcher at Wuhan University, China
Dr. Zeeshan Zafar is a physical geographer and researcher with expertise in remote sensing, GIS, and environmental modeling. His work focuses on machine learning applications in hydrology and climate change impact studies, particularly in urban and natural ecosystems. Dr. Zafar has contributed to research publications on carbon storage modeling, LULC, urban heat islands, and soil erosion, and he actively collaborates on projects assessing ecological health risks and sustainable urban planning.
Publication Profile
Education:
Dr. Zeeshan Zafar completed his Ph.D. in Physical Geography from Northwest University, Xi’an, China. He holds an M.S. in Remote Sensing & GIS from PMAS Arid Agriculture University, Rawalpindi, Pakistan.
Professional Experience:
Dr. Zafar is currently a Postdoctoral Researcher at Wuhan University, China, where he focuses on advanced GIS and ecological modeling methodologies. Previously, he served as a GIS Manager at GreenAge Services in Pakistan (2016-2018) and as an Instructor at Virtual University, Pakistan (2013-2016), where he developed remote sensing and GIS curricula and trained students in these fields.
Research Interest:
Dr. Zafar’s research integrates machine learning, hydrological modeling, ecosystem services, and climate change impacts. His expertise extends to ecological modeling, land-use/land-cover (LULC) change, urbanization, and land surface temperature modeling. He is proficient in advanced spatial analysis using satellite data, machine learning, deep learning, and statistical modeling.
Author Metrics:
Dr. Zafar has published extensively in reputable journals, including Ecological Informatics, Theoretical and Applied Climatology, and Water Supply. His research, recognized for its impact on understanding climate and urban dynamics, is supported by over 20 peer-reviewed articles and ongoing submissions to high-impact journals. His work is regularly cited by peers in environmental science and remote sensing domains.
- Selection of medical clinic for disease diagnosis by using TOPSIS method
RM Zulqarnain, S Abdal, B Ali, L Ali, F Dayan, MI Ahamad, Z Zafar
International Journal of Pharmaceutical Sciences Review and Research, 61(1), 2020.
- Application of TOPSIS method in decision making via soft set
RM Zulqarnain, S Abdal, A Maalik, B Ali, Z Zafar, MI Ahamad, S Younas
Biomedical Journal of Scientific & Technical Research, 24(3), 18208-18215, 2020.
- Trend analysis of the decadal variations of water bodies and land use/land cover through MODIS imagery: An in-depth study from Gilgit-Baltistan, Pakistan
Z Zafar, MS Mehmood, MI Ahamad, A Chudhary, N Abbas, AR Khan
Water Supply, 21(2), 927-940, 2021.
- Fostering deep learning approaches to evaluate the impact of urbanization on vegetation and future prospects
Z Zafar, MS Mehmood, Z Shiyan, M Zubair, M Sajjad, Q Yaochen
Ecological Indicators, 146, 109788, 2023.
- Time Series Analyses and Forecasting of Surface Urban Heat Island Intensity Using ARIMA Model in Punjab, Pakistan
MS Mehmood, Z Zafar, M Sajjad, S Hussain, S Zhai, Y Qin
Land, 12(1), 142, 2022.
- Performance assessment of machine learning algorithms for mapping of land use/land cover using remote sensing data
Z Zafar, M Zubair, Y Zha, S Fahd, AA Nadeem
The Egyptian Journal of Remote Sensing and Space Sciences, 27(2), 216-226, 2024.
- Spatial Downscaling and Gap-Filling of SMAP Soil Moisture to High Resolution Using MODIS Surface Variables and Machine Learning Approaches over ShanDian River Basin, China
AA Nadeem, Y Zha, L Shi, S Ali, X Wang, Z Zafar, Z Afzal, MAUR Tariq
Remote Sensing, 15(3), 812, 2023.
- Generalized fuzzy TOPSIS to solve multi-criteria decision-making problems
RM Zulqarnaın, M Saeed, B Ali, S Abdal, M Saqlaın, MI Ahamad, Z Zafar
Journal of New Theory, 40-50, 2020.
- Comprehensive assessment on groundwater quality, pollution characteristics, and ecological health risks under seasonal thaws: Spatial insights with Monte Carlo simulations
C Jia, AR Altaf, F Li, I Ashraf, Z Zafar, AA Nadeem
Groundwater for Sustainable Development, 22, 100952, 2023.
- Mapping flood extend and its impact on land use/land cover and settlements variations: A case study of Layyah District, Punjab, Pakistan
S Soomro, C Hu, MW Boota, MHAA Soomro, S Jian, Z Zafar, X Li
Acta Geophysica, 69, 2291-2304, 2021.
- Application of Intuitionistic Fuzzy Soft Matrices for Disease Diagnosis
RM Zulqarnain, M Saeed, MI Ahamad, S Abdal, Z Zafar, M Aslam
International Journal of Discrete Mathematics, 5(1), 4-9, 2020.
- The spatial coupling effect between urban street network’s centrality and collection & delivery points: A spatial design network analysis-based study
MS Mehmood, G Li, A Jin, A Rehman, V Wijeratne, Z Zafar, AR Khan
PLOS One, 16(5), e0251093, 2021.
- Predictive modeling of regional carbon storage dynamics in response to land use/land cover changes: An InVEST-based analysis
Z Zafar, M Zubair, Y Zha, MS Mehmood, A Rehman, S Fahd, AA Nadeem
Ecological Informatics, 102701, 2024.
- Disease identification using trapezoidal fuzzy numbers by Sanchez’s approach
RM Zulqarnain, XL Xin, B Ali, S Abdal, A Maalik, L Ali, MI Ahamad, Z Zafar
International Journal of Pharmaceutical Sciences Review and Research, 61(1), 13-18, 2020.
- Effects of Temperature and Pressure on Reservoir Fluids and Seismic Properties of Reservoir Rocks
MI Ahamad, Z Zafar, M Arsalan, A Rehman, M Sajid, RM Zulqarnain
International Journal of Pharmaceutical Sciences Review and Research, 63, 36-43, 2020.
- Spatiotemporal dynamics analysis of surface water body and snow cover area to climate change in Gilgit Baltistan, Pakistan
Z Zafar, MS Mehmood, A Akbar, MA Khan
Physical Geography, 44(5), 600-619, 2023.
- Evaluating land use/cover change associations with urban surface temperature via machine learning and spatial modeling: Past trends and future simulations in Dera Ghazi Khan
MS Mehmood, A Rehman, M Sajjad, J Song, Z Zafar, Z Shiyan
Frontiers in Ecology and Evolution, 11, 1115074, 2023.
- SAFER-ET based assessment of irrigation patterns and impacts on groundwater use in the central Punjab, Pakistan
AA Nadeem, Y Zha, L Shi, Z Zafar, S Ali, Y Zhang, AR Altaf, M Afzal
Agricultural Water Management, 289, 108545, 2023.
- Modelling the Climate Change on Crop Estimation in the Semi-Arid Region of Pakistan Using Multispectral Remote Sensing
Z Zafar, S Farooq, MI Ahamad, MS Mehmood
Optics, 9(1), 1-7, 2020.
- Assessment of urbanization impacts on vegetation cover in major cities of Pakistan: Evidence from remotely sensed data
Z Zafar
GeoJournal, 89(4), 167, 2024.