Bilal Jan Haji Muhammad | Geographical | Best Researcher Award

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Dr. Bilal Jan Haji Muhammad | Geographical | Best Researcher Award

Dr. Bilal Jan Haji Muhammad | Geographical | Ministry of Rural Rehabilitation and Development | Afghanistan

Geographical research forms the core of Dr. Bilal Jan Haji Muhammad’s academic identity, and throughout his career, he has established himself as a dynamic researcher devoted to advancing knowledge in Remote Sensing (RS), Geographic Information Systems (GIS), applied geology, land–surface interactions, and environmental change modelling. Dr. Bilal Jan Haji Muhammad completed his higher education at Northeast Normal University, China, where he strengthened his expertise in spatial analysis, geospatial modelling, and petrography, skills that later defined his scientific trajectory. His professional experience includes extensive collaboration with scholars across Afghanistan, Pakistan, and China, contributing significantly to multidisciplinary projects focused on land use/land cover (LULC) dynamics, chromite body characterization, morpho-tectonic interpretation, forest canopy density assessment, and integrated geological–geographical analyses. Through his scholarly work, Dr. Bilal Jan Haji Muhammad has contributed to understanding complex environmental systems using RS/GIS, particularly in regions such as Kunar Province, Logar Ophiolitic Complex, Malakand Division, and the Southern Region of Eritrea. His major research interests span spatial modelling, geochemical characterization, land degradation studies, heat-island assessment, and the interaction between landscape processes and climatic indicators. His specialized research skills include advanced satellite image processing, geospatial data analytics, spectral index computation, petrographic analysis, structural geology interpretation, and environmental change prediction using tools such as land change modeller and GIS-based simulation workflows. These competencies have enabled him to produce impactful cross-disciplinary outputs published in highly regarded journals including the Scottish Geographical Journal, Kuwait Journal of Science, GeoJournal, and Singapore Journal of Tropical Geography. Among his awards and honors, Dr. Bilal Jan Haji Muhammad’s recognition includes international research collaborations, verified academic contributions within his institution, and impactful citations reflecting his growing scholarly presence. His Google Scholar metrics—citations, h-index, and collaborative research networks—demonstrate his commitment to producing quality research in geographical sciences, applied geology, and remote sensing. With continuous contributions to the global academic community, Dr. Bilal Jan Haji Muhammad remains committed to advancing sustainable environmental management, improving geospatial modelling techniques, and strengthening the scientific understanding of geographically sensitive regions. In conclusion, Dr. Bilal Jan Haji Muhammad exemplifies a forward-looking researcher whose contributions in RS, GIS, geology, and Geographical modelling continue to expand the boundaries of environmental and geospatial science, positioning him as a promising scholar dedicated to impactful research and academic excellence.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Ahmad, I., & Islam, I. (2025). Modelling and prediction of land use land cover change dynamics based on the land change modeller in Kunar Province, Eastern Afghanistan. Scottish Geographical Journal, 1–24. Citations: 2

  2. Ahmad, I., Ping, W., Razzaq, A., Muhammad, B. J. H., & Ali, W. (2024). Assessing urban thermal field variance and surface urban heat island effects: An ecological study in Malakand Division, Pakistan. Ecological Study. Citations: 2

  3. Muhammad, B. J. H., Rahmani, N. R., Mohabbat, M. J., Islam, I., Ahmad, I., & Ping, W. (2025). Integration of remote sensing and geochemical analysis of chromite bodies in Logar Ophiolitic Complex, Southeast Afghanistan. Kuwait Journal of Science, 100427. Citations: 1

  4. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Patmal, M. H., & Ahmad, I. (2024). Morpho-tectonic and satellite image interpretation for identifying Gardez fault in Afghanistan. Journal of Geoscience, Engineering, Environment, and Technology, 9(2), 221–226. Citations: 1

  5. Muhammad, B. J. H., Ping, W., Mohabbat, M. J., Islam, I., & Khattak, S. A. (2025). Examining the relationship among land surface temperature (LST), land use/land cover (LULC) and spectral indices in Kunar Province, Afghanistan. GeoJournal, 90(5), 237.

 

Bo Zhang | Environmental Science | Best Research Article Award

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Mr. Bo Zhang | Environmental Science | Best Research Article Award

Mr. Bo Zhang | Environmental Science | Associate Professor at Northwestern Polytechnical University | China

Mr. Bo Zhang is an accomplished researcher whose career reflects a distinguished trajectory in the fields of remote sensing, geoinformation science, and artificial intelligence applications for environmental monitoring, and he has consistently demonstrated excellence through impactful research contributions and global collaborations. Educated with a doctoral degree in Remote Sensing from a leading academic institution, Mr. Bo Zhang has established a solid academic foundation that underpins his expertise in applying advanced computational methods to real-world environmental challenges. His professional experience includes multiple collaborative projects with internationally recognized scholars from institutions such as Tsinghua University, Southeast University, Technical University of Munich, University of Hong Kong, and others, through which he has advanced the use of deep learning techniques, satellite image downscaling, and GIS-based data integration for earth observation and climate-related studies. Mr. Bo Zhang’s research interests lie primarily in satellite remote sensing, super-resolution reconstruction of geospatial datasets, atmospheric and environmental data analysis, epidemiological mapping, and the integration of machine learning for improved predictive accuracy in public health and ecological monitoring, reflecting an interdisciplinary approach that combines computing, earth science, and applied technology. His research skills span deep learning model development, neural network applications for image processing, spatial epidemiology analysis, super-resolution algorithms, and the integration of volunteered geographic information into traditional mapping platforms, enabling him to contribute both theoretically and practically to geospatial sciences.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  • Zhu, B., Liu, J., Fu, Y., Zhang, B., & Mao, Y. (2018). Spatio-temporal epidemiology of viral hepatitis in China (2003–2015): Implications for prevention and control policies. International Journal of Environmental Research and Public Health, 15(4), 661. Citations: 73.

  • Pan, D., Zhang, M., & Zhang, B. (2021). A generic FCN-based approach for the road-network extraction from VHR remote sensing images—Using OpenStreetMap as benchmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Citations: 59.

  • Zhang, B., Zhang, M., Kang, J., Hong, D., Xu, J., & Zhu, X. (2019). Estimation of PMx concentrations from Landsat 8 OLI images based on a multilayer perceptron neural network. Remote Sensing, 11(6), 646. Citations: 29.

  • Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., Yu, L., Zhang, Q., … (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin, 67(24), 2526–2530. Citations: 25.