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.

 

Ali Haji Elyasi | Earth Sciences | Best Researcher Award

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Mr. Ali Haji Elyasi | Earth Sciences | Best Researcher Award

Mr. Ali Haji Elyasi | Earth Sciences | PhD at University of Tehran | Iran

Mr. Ali Haji Elyasi is a researcher in Civil and Water Resources Engineering with a strong academic foundation and applied research orientation in hydrological systems, groundwater sustainability, and hydraulics. He is pursuing his Ph.D. in Civil Engineering (Water and Hydraulic Structures) at the University of Tehran, where he has developed expertise in advanced hydro-environmental modeling, geospatial intelligence, machine learning applications, and remote sensing-driven environmental monitoring. His education combines rigorous theoretical training with hands-on field research, enabling him to address complex challenges related to groundwater quality, flood risk assessment, watershed hydrology, and wetland ecosystem dynamics. Professionally, Mr. Ali Haji Elyasi has contributed to several interdisciplinary research projects in collaboration with leading institutions and research groups, focusing on groundwater potential analysis, land-use change detection, aquifer vulnerability assessment, and integrated water resource management strategies. His research interests include sustainable hydrology, resilience-based water infrastructure planning, satellite-based environmental observation, climate impact assessments, and data-driven decision support systems in semi-arid and ecologically sensitive regions. He is skilled in GIS, Remote Sensing, machine learning modeling, hydrological simulation, spatial data analysis, and environmental data interpretation, and he consistently integrates computational methods to enhance predictive accuracy and resource planning outcomes. Mr. Ali Haji Elyasi has published multiple peer-reviewed articles indexed in Scopus and reputable engineering journals, and his scientific contributions have been recognized through increasing citations and scholarly collaborations across universities and research institutions. He has also engaged in academic community development through teamwork, joint authorships, mentoring, and research dissemination activities. Awards and recognitions relate to his contributions in water resource research, collaborative scientific output, and commitment to advancing environmental sustainability. Overall, Mr. Ali Haji Elyasi demonstrates a strong commitment to scientific integrity, research innovation, and practical solutions for sustainable water system management, positioning him as a promising researcher capable of contributing meaningfully to academic scholarship, environmental policy, infrastructure planning, and future scientific leadership.

Academic Profile: ORCID | Google Scholar

Featured Publications:

Eftekhari, M., Mobin, E., Akbari, M., & Elyasi, A. H. (2021). Application assessment of GRACE and CHIRPS data in the Google Earth Engine to investigate their relation with groundwater resource changes (Northwestern region of Iran). Journal of Groundwater Science and Engineering, 9(2), 102–113. Cited 18 times

Eftekhari, M., Eslaminezhad, S. A., Akbari, M., DadrasAjirlou, Y., & Elyasi, A. H. (2021). Assessment of the potential of groundwater quality indicators by geostatistical methods in semi-arid regions. Journal of Chinese Soil and Water Conservation, 52(3), 158–167. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Mahmoodizadeh, S., Akbari, M., & Elyasi, A. H. (2021). Evaluation of tree-based artificial intelligence models to predict flood risk using GIS. Iran-Water Resources Research, 17(2), 174–189. Cited 7 times

Eftekhari, M., Eslaminezhad, S. A., Elyasi, A. H., & Akbari, M. (2021). Geostatistical evaluation with Drinking Groundwater Quality Index (DGWQI) in Birjand Plain aquifer. Environment and Water Engineering, 7(2), 267–278. Cited 7 times

Eslaminezhad, S. A., Eftekhari, M., Akbari, M., Elyasi, A. H., & Farhadian, H. (2022). Predicting flood-prone areas using advanced machine learning models (Birjand Plain). Water and Irrigation Management, 11(4), 885–904. Cited 3 times