Georgina Gordon | Earth | Interdisciplinary Soil Research Award

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Ms. Georgina Gordon | Earth | Interdisciplinary Soil Research Award

Ms Georgina Gordon | Geological consulting | Australia 

Georgina Gordon is a highly accomplished geologist and Senior Hyperspectral Geoscientist recognized for her extensive expertise in hyperspectral core scanning and spectral geoscience. With deep experience in applying advanced mineralogical analysis to diverse deposit types, she has significantly contributed to developing innovative techniques that enhance the interpretation of geological materials. Her leadership in managing the HyLogger Project and integrating new technologies such as Raman and Gold Sniffer scanning has strengthened spectral data analysis in mineral exploration. She has been instrumental inmentoring researchers, facilitating industry collaborations, and organizing national and international geoscience workshops and conferences. Georgina’s career reflects a strong focus on innovation, data-driven insights, and collaborative research that bridges academic and industry applications. Her commitment to improving data quality and accessibility has established her as a leading figure in geological spectral analysis. She has published 7 scientific documents, which have collectively earned 207 citations from 181 referencing sources, reflecting her growing research influence and practical impact in the global geoscience community. Her work continues to advance the application of hyperspectral technologies in mineral systems, fostering innovation, sustainability, and deeper understanding of Earth’s complex geological processes.

Profiles:  Scopus | Orcid

Featured Publications

Baudet, E., Tiddy, C., Giles, D., Hill, S., & Gordon, G. (2023). Diverse provenance of the Lower Cretaceous sediments of the Eromanga Basin, South Australia: Constraints on basin evolution. Australian Journal of Earth Sciences, 

Aysen Davraz | Earth | Best Researcher Award

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Prof. Dr. Aysen Davraz | Earth | Best Researcher Award

Aysen Davraz | Suleyman Demirel University | Turkey

Prof. Dr. Aysen Davraz is a distinguished hydrogeologist with an extensive academic and research portfolio that spans over three decades. Born on November 17, 1970, she earned her BSc, MSc, and PhD in Geological Engineering and has steadily advanced through academic ranks, becoming a full professor in 2016. With a prolific research output of 45 indexed documents, her work has garnered 2,323 citations across 2,059 citing documents, demonstrating her broad influence in the fields of hydrogeochemistry, geothermal systems, groundwater sustainability, climate change impacts, and water resource management. Her scholarly impact is further reflected in an impressive h-index of 20, highlighting both productivity and sustained citation relevance. She has supervised numerous master’s and doctoral theses, contributed chapters to international books, authored a scientific monograph, and actively participated in 25 research projects as director or investigator. Prof. Davraz has published widely in leading SCI and SCI-Expanded journals and presented her findings at international conferences through 28 full papers and 14 abstracts. She also holds leadership roles as President of the Association of Hydrogeological Engineers and Water Resources Research and is an active member of the International Association of Hydrogeologists, reinforcing her standing as a globally recognized expert in groundwater science and environmental geosciences.

Profiles:  Scopus | Orcid

Featured Publications

  • Davraz, A., Nalbantçılar, M. T., İştin, A. E., Kadırhan, G., & Çelik, S. (2025). Hydrogeochemistry properties of thermal waters and health risk assessment in Şırnak geothermal fields (Turkey). Carbonates and Evaporites. 

  • Şener, E., & Davraz, A. (2025). Future drought projections with CMIP6 in Eğirdir Lake basin (Türkiye). Natural Hazards. 

  • Davraz, A., & Aksever, F. (2025). Geochemical processes in groundwater chemistry: A case study. Carbonates and Evaporites. 

  • Şener, E., & Davraz, A. (2025). Prediction of future drought characteristics over the Southwest Turkey using CMIP6 models. Pure and Applied Geophysics.

  • İştin, A. E., Kadırhan, G., Çelik, S., Nalbantçılar, M. T., & Davraz, A. (2025). Evaluation of thermal tourism potential of Şırnak. Journal of Multidisciplinary Academic Tourism. 

  • Şener, E., & Davraz, A. (2024). Comparison of drought indices in the analysis of temporal and spatial changes of climatic drought events: A case study in the Eğirdir Lake basin (Isparta/Turkey). Natural Hazards.

Muhammad Haseeb | Environmental Science | Young Scientist Award

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Mr. Muhammad Haseeb | Environmental Science | Young Scientist Award

Mr. Muhammad Haseeb, University of the Punjab Lahore, Pakistan

Mr. Muhammad Haseeb is an environmental scientist and Visiting Lecturer at the University of the Punjab, Lahore, Pakistan. He holds an MPhil in Environmental Science from the University of Engineering and Technology, Lahore, and an MSc in Environmental Sciences from the University of the Punjab. His research focuses on air pollution modeling, carbon footprint analysis, and the application of remote sensing and GIS in environmental management. A recipient of the University Gold Medal, he has expertise in GIS, remote sensing, machine learning, and environmental sustainability.

Profile

Scopus

Summary:

Mr. Muhammad Haseeb is an accomplished young scientist with expertise in environmental science, remote sensing, and GIS. His academic achievements, research focus on air pollution and carbon footprint analysis, and technical proficiency make him a strong candidate for the Research for Young Scientist Award. His commitment to teaching and mentoring students further enhances his profile.

 

🎓 Education

Muhammad Haseeb holds an MPhil in Environmental Science from the University of Engineering and Technology, Lahore, with a strong academic record, earning a CGPA of 3.85/4.00. His thesis focused on developing a predictive model for air pollution and smog in Lahore, showcasing his expertise in environmental modeling and atmospheric studies. He also earned an MSc in Environmental Sciences from the University of the Punjab, where he achieved a CGPA of 3.92/4.00. His MSc research involved a quantitative analysis of the carbon footprint at the University of the Punjab, highlighting his skills in sustainability assessment and carbon accounting.

 

💼Experience

Currently serving as a Visiting Lecturer at the Department of Space Science, University of the Punjab, Muhammad Haseeb teaches courses on Remote Sensing, GIS, Meteorology, and Machine Learning, reflecting his dedication to education and research in geospatial sciences. Previously, he worked as a Remote Sensing and GIS Expert at Bit Bricks, where he played a key role in satellite image processing, flood mapping, vegetation analysis, and GIS project management. His experience includes advanced image processing techniques, such as radiometric and geometric corrections, supervised classification, and NDVI analysis for vegetation health assessment.

 

🔬Research Focus

Muhammad Haseeb’s research is centered on environmental modeling, air pollution prediction, carbon footprint analysis, and the application of remote sensing and GIS in environmental management. His work contributes to understanding urban air quality dynamics, sustainable land use planning, and climate change mitigation strategies, particularly in the context of Pakistan’s environmental challenges.

 

Awards 

His academic excellence has been recognized through several prestigious awards, including a University Gold Medal for securing the top position in his MSc Environmental Sciences program at the University of the Punjab. He also received a merit scholarship for two consecutive years for his outstanding performance. Additionally, he won the Environmental Chemistry Quiz Competition at the College of Earth and Environmental Sciences, further demonstrating his strong foundation in environmental sciences.

 

Skills

Muhammad Haseeb is proficient in geospatial technologies, including Google Earth Engine, ArcGIS, QGIS, and MATLAB, along with programming languages such as Python and R for machine learning applications. His expertise extends to environmental modeling, air pollution analysis, remote sensing, and GIS-based spatial analysis. He has also completed specialized training programs from the Asian Development Bank on sustainable development, climate change, and infrastructure.

 

Publications

  • Enhancing Carbon Sequestration through Afforestation: Evaluating the Impact of Land Use and Cover Changes on Carbon Storage Dynamics
    • Year: 2024
    • Authors: Haseeb, M., Tahir, Z., Mehmood, S.A., Abdullah-Al-Wadud, M., Tariq, A.
    • Journal: Earth Systems and Environment
    • Citations: 4

 

  • Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators
    • Year: 2024
    • Authors: Haseeb, M., Tahir, Z., Mahmood, S.A., Soufan, W., Tariq, A.
    • Journal: Journal of Atmospheric and Solar-Terrestrial Physics
    • Citations: 3

 

  • Evaluation of Land Use Land Cover Changes in Response to Land Surface Temperature With Satellite Indices and Remote Sensing Data
    • Year: 2024
    • Authors: Zhao, Q., Haseeb, M., Wang, X., Soufan, W., Almutairi, K.F.
    • Journal: Rangeland Ecology and Management
    • Citations: 6

 

  • Predicting Soil Erosion Risk Using the Revised Universal Soil Loss Equation (RUSLE) Model and Geo-Spatial Methods
    • Year: 2024
    • Authors: Naqvi, S.A.A., Tariq, A., Shahzad, M., Haseeb, M., Soufan, W.
    • Journal: Hydrological Processes
    • Citations: 4

 

  • Assessing Long-Term Variability and Trends in Temperature and Precipitation in Gilgit and Hunza River Basins
    • Year: 2024
    • Authors: Shazil, M.S., Mahmood, S.A., Ahmad, S., Qureshi, J., Batool, S.
    • Journal: Environmental Earth Sciences
    • Citations: 0

 

  • Assessment of Soil Erosion Dynamics and Implications for Sustainable Land Management: A Case Study Using the RUSLE Model (Article in Press, Open Access)
    • Year: 2024
    • Authors: Zhang, L., Haseeb, M., Tahir, Z., Almutairi, K.F., Soufan, W.
    • Journal: International Journal of Sediment Research
    • Citations: 0

 

  • Multi-Temporal Analysis of Urbanization-Driven Slope and Ecological Impact Using Machine-Learning and Remote Sensing Techniques (Article in Press)
    • Year: 2024
    • Authors: Hao, Z., Haseeb, M., Xiangtian, Z., Abdullah-Al-Wadud, M., El-Askary, H.
    • Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
    • Citations: 0

 

Conclusion:

Given his academic excellence, research contributions, technical expertise, and recognition through awards, Mr. Muhammad Haseeb is a highly competitive candidate for the Research for Young Scientist Award. Strengthening his publication record, international collaborations, and research funding efforts would further enhance his standing for such prestigious honors.