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

 

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.

 

 

Dr. Heraiz Hocine | Environmental Science | Best Researcher Award

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Dr. Heraiz Hocine | Environmental Science | Best Researcher Award

Dr. Heraiz Hocine | Environmental Science – PhD at University of Science and Technology Beijing, China

Dr. Hocine Heraiz is an accomplished researcher in the field of Mineral Processing Engineering, with a focus on sustainable construction materials and the recycling of industrial solid waste into high-performance cementitious systems. He is currently completing his Ph.D. at the University of Science and Technology Beijing, where his pioneering work in Ultra-High-Performance Concrete (UHPC) has drawn international attention for its environmental significance and engineering innovation. Dr. Heraiz brings a multidisciplinary approach to his research, integrating expertise in materials science, mining engineering, and sustainable construction to address some of the most pressing challenges in global infrastructure and environmental protection.

Profile Verified:

ORCID | Scopus | Google Scholar

Education:

Dr. Heraiz’s academic foundation spans multiple disciplines and countries. He obtained his engineering degree in Mining Engineering from the National Polytechnic School in Algeria, focusing on blasting plan optimization and geotechnical analysis. He later completed a Master’s degree in Material Science at the University of M’Sila, where he investigated the mechanical and physicochemical properties of palm fiber composites, with an emphasis on sustainable reinforcement and the use of Artificial Neural Networks. Currently, he is pursuing a Ph.D. in Mineral Processing Engineering at the University of Science and Technology Beijing. His doctoral research involves the development of solid waste-based UHPC using steel fibers and clinker-free binders to enhance mechanical properties while promoting sustainability.

Experience:

Dr. Heraiz has accumulated diverse professional experience across academia, industry, and government institutions. He served as an Associate Professor at the University of M’Sila, where he contributed to teaching and mentoring in the field of materials engineering. In the private sector, he worked as a mining engineer, leading aggregate extraction operations and managing safety, compliance, and efficiency in day-to-day activities. As a site manager for a national construction company, he led a team of 25 workers, coordinated engineering workflows, and enforced strict quality and safety standards. His recent administrative and technical role at the Embassy of Algeria in China demonstrates his capacity for leadership and cross-cultural collaboration in complex environments.

Research Interest:

Dr. Heraiz’s research interests are centered on the reuse of industrial solid waste for sustainable building materials, particularly in developing Ultra-High-Performance Concrete. His studies cover the mechanical behavior, durability, and microstructural characteristics of these materials using advanced techniques such as XRD, SEM, FTIR, and TGA-DSC. He is especially interested in reducing CO₂ emissions in cement-based construction by using steel fibers, mineral admixtures, and industrial by-products. Additionally, his research integrates data modeling and optimization techniques, including Artificial Neural Networks and Response Surface Methodology, for predictive analysis of composite performance.

Award:

Dr. Heraiz was awarded the Silver Prize in the “Challenge Cup” International Entrepreneurship Competition in 2024, under the Belt and Road Initiative track. His winning project, Cotton Silk Road, focused on innovative cotton processing technologies and the use of solid waste in green development. In addition, he plays an active role in national research projects in China, including a National Key R&D Program on enhancing the resilience of municipal systems, and a Hebei Provincial Science and Technology Project on developing ultra-low carbon cementitious materials. These accolades highlight his leadership, innovation, and contribution to sustainable engineering solutions.

Publication:


🔹 Optimization of Ultra-High-Performance Concrete Using a Clinker-Free Binder and Iron Mine Tailings Aggregate (🧱 Minerals, 2024) — widely cited in green construction studies.

🔹 Examining the bending test properties of bio-composites strengthened with fibers through a combination of experimental and modeling approaches

🔹 Assessment of Mechanical and Physicochemical Properties of Palm Fiber Composites (🌿 Journal of Composite Materials, 2024) — cited in natural fiber reinforcement studies.

Conclusion:

In conclusion, Dr. Hocine Heraiz exemplifies a forward-thinking and solution-oriented researcher whose work merges scientific rigor with real-world relevance. His achievements in developing sustainable construction materials, backed by practical field experience and academic excellence, position him as a standout figure in the global movement toward eco-friendly infrastructure. Through innovative research, award-winning contributions, and strong academic publishing, Dr. Heraiz has proven his merit as a leading candidate for the Best Researcher Award. His work not only advances the state of materials engineering but also supports international sustainability goals and circular economy practices.

 

 

 

Dr. Xiaoyu Lin | Environmental Science | Best Researcher Award

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Dr. Xiaoyu Lin | Environmental Science | Best Researcher Award

Dr. Xiaoyu Lin | Environmental Science – Huazhong University of Science and Technology, China

Dr. Xiaoyu Lin is an accomplished researcher affiliated with Jeonbuk National University in South Korea, known for her interdisciplinary work at the intersection of materials science, environmental chemistry, and computational modeling. Her scientific output, reflected in 18 peer-reviewed publications and an h-index of 11, has attracted 284 citations across 228 academic documents, indicating a growing influence in her field. With a firm grounding in theoretical and applied research methodologies, Dr. Lin continuously explores innovative ways to solve pressing industrial and ecological challenges, particularly in the area of sustainable material design and resource recovery.

Profile:

Scopus

Education:

Dr. Lin’s educational background is firmly rooted in scientific inquiry and advanced research. She completed her doctoral-level education with a focus on the application of density functional theory (DFT) to design environmentally responsive materials. Her academic training provided a strong foundation in physical chemistry, polymer science, and environmental remediation, equipping her with both theoretical expertise and practical laboratory skills essential to the development of advanced functional materials.

Experience:

Professionally, Dr. Lin is based at Jeonbuk National University, where she plays an active role in research and academic collaboration. Her experience includes significant contributions to both individual and group research projects, showcasing her capabilities in multidisciplinary teamwork and scientific communication. She has authored and co-authored numerous high-impact papers, collaborating with researchers across multiple countries and disciplines. Through this work, she has helped shape experimental designs, conduct theoretical modeling, and produce valuable findings for publication.

Research Interests:

Dr. Lin’s research interests span computational materials science, bio-based adsorbents, environmental sustainability, and metal ion recovery. She is particularly passionate about combining DFT simulations with experimental synthesis to develop materials capable of selective ion adsorption, pH responsiveness, and environmental remediation. Her focus on sustainable solutions and circular economy principles drives her investigations into chitosan-based biopolymers, eco-friendly adsorbents, and advanced modeling techniques for wastewater treatment and heavy metal removal.

Awards:

While Dr. Lin has not yet received formal individual awards, her rising academic profile and publication impact suggest she is on a clear trajectory toward national and international recognition. Her growing number of citations, scholarly collaborations, and recent involvement in high-impact research projects reflect the respect she commands within the research community and signal her readiness for future distinctions such as the Best Researcher Award.

Publications:

Below are seven of Dr. Lin’s most relevant publications, highlighting both academic contribution and citation performance:

  • 🧪 “DFT-guided structural design of functionalized chitosan for selective Ag(I) recovery across a broad pH range”, Separation and Purification Technology, 2025 – cited by 0 articles.
  • 🌱 “Selective removal of Pb(II) using cross-linked chitosan derivatives: Adsorption behavior and DFT insights”, Chemical Engineering Journal, 2024 – cited by 12 articles.
  • ⚙️ “Computational screening of bio-polymers for heavy metal remediation: A DFT-based approach”, Journal of Hazardous Materials, 2023 – cited by 18 articles.
  • 🌊 “pH-responsive chitosan composites for wastewater treatment: Synthesis, characterization and modeling”, Environmental Science and Pollution Research, 2023 – cited by 15 articles.
  • 🔬 “Eco-friendly synthesis of chitosan beads for Cr(VI) removal: Experimental and theoretical synergy”, Carbohydrate Polymers, 2022 – cited by 20 articles.
  • 🧬 “Metal ion recognition by modified polysaccharides: A DFT and FTIR combined study”, Materials Chemistry and Physics, 2022 – cited by 14 articles.
  • 💧 “Biopolymer-based systems for Cu(II) adsorption: Modeling and application perspectives”, Journal of Molecular Liquids, 2021 – cited by 13 articles.

Conclusion:

In conclusion, Dr. Xiaoyu Lin has built an impressive academic profile through impactful research, interdisciplinary collaboration, and a commitment to sustainable innovation. Her publications demonstrate a mastery of both theoretical modeling and experimental application, and her growing citation record indicates strong peer recognition. As an emerging leader in the field of materials for environmental applications, she represents an outstanding candidate for the Best Researcher Award. With further opportunities for research funding and leadership, she is well-positioned to make long-lasting contributions to science and society.