Oznur Karaca | Environmental Science | Research Excellence Award

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Assoc. Prof. Dr. Oznur Karaca | Environmental Science | Research Excellence Award

Assoc. Prof. Dr. Oznur Karaca | Environmental Science | Associate Professor at Çanakkale Onsekiz Mart University | Turkey

Assoc. Prof. Dr. Oznur Karaca is a distinguished researcher in Geological Engineering whose work spans environmental geotechnics, soil mechanics, engineering geology, GIS, and remote sensing, earning her strong recognition in both academic and applied research communities. Assoc. Prof. Dr. Oznur Karaca completed her higher education in Geological Engineering, culminating in a doctoral degree that laid the foundation for her internationally oriented research career. She has held progressive academic and professional roles, contributing extensively to university-level teaching, interdisciplinary research supervision, and collaborative international projects focused on sustainable remediation, environmental risk assessment, and geo-environmental engineering solutions. Her research interests include electrokinetic remediation, mine tailing contamination, flood susceptibility mapping, geochemical characterization of sediments, groundwater quality assessment, and the integration of GIS-based multicriteria decision analysis for environmental planning. Assoc. Prof. Dr. Oznur Karaca demonstrates strong research skills in geotechnical laboratory experimentation, field investigation, soil and water interaction studies, data modeling, environmental impact assessments, and the development of remediation technologies for metal-contaminated soils. Her scholarly achievements include impactful publications in high-quality journals indexed in Scopus, Web of Science, and IEEE, with notable citation influence highlighted by her cumulative citation record and collaborative outputs with leading researchers worldwide. She has worked with international partners on environmental sustainability projects addressing soil contamination, mining impacts, and groundwater quality, showcasing her capacity to lead and participate in global scientific initiatives. Assoc. Prof. Dr. Oznur Karaca has received recognitions and academic honors for her research productivity, contributions to environmental engineering, and involvement in professional scientific societies. Her awards reflect sustained excellence in research dissemination, conference presentations, and community-engaged environmental solutions. She continues to contribute as a reviewer, mentor, and academic leader across research networks, strengthening scientific exchange and advancing multidisciplinary collaboration. In conclusion, Assoc. Prof. Dr. Oznur Karaca represents a highly accomplished academic whose research, professional expertise, and commitment to environmental problem-solving highlight her as an influential contributor to the field. Her broad skill set, strong publication record, international partnerships, and capacity for innovative geo-environmental solutions underline her potential for continued advancement and recognition within global scientific communities.

Academic Profile: ORCID | Scopus | Google Scholar

Featured Publications:

  1. Karaca, O., Cameselle, C., & Reddy, K. R. (2018). Mine tailing disposal sites: contamination problems, remedial options and phytocaps for sustainable remediation. Citations: 224

  2. Gül, A., Örücü, M. K., & Karaca, O. (2006). An approach for recreation suitability analysis to recreation planning in Gölcük Nature Park. Citations: 120

  3. Karaca, O., Cameselle, C., & Bozcu, M. (2019). Opportunities of electrokinetics for the remediation of mining sites in Biga peninsula, Turkey. Citations: 44

  4. Karaca, O., Cameselle, C., & Reddy, K. R. (2017). Acid pond sediment and mine tailings contaminated with metals: physicochemical characterization and electrokinetic remediation. Citations: 40

  5. Tiryaki, M., & Karaca, O. (2018). Flood susceptibility mapping using GIS and multicriteria decision analysis: Saricay-Çanakkale (Turkey). Citations: 27

 

 

Xichao Gao | Hydrology | Best Researcher Award

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Dr. Xichao Gao | Hydrology | Best Researcher Award

Dr. Xichao Gao | Hydrology | Senior Engineer at China Institute of Water Resources and Hydropower Research | China

Gr. Xichao Gao is an eminent researcher specializing in hydrology, water resources, and climate-driven environmental modeling, with a strong focus on urban waterlogging, drought recovery, and real-time rainfall estimation using advanced computational and deep learning methods. He obtained his Ph.D. in Hydrology and Water Resources from a leading Chinese research university, which provided a solid foundation for his extensive contributions to the China Institute of Water Resources and Hydropower Research in Beijing, China, where he currently serves as a leading researcher. Over his career, Gr. Gao has published 30 high-impact documents, which have collectively received 403 citations from 356 documents, reflecting his scholarly influence and an h-index of 12. His professional experience encompasses leading and participating in multinational research projects addressing climate resilience, hydrological risk management, and sustainable urban water systems. Gr. Gao’s research interests include hydrological process modeling, environmental monitoring using video-based and remote-sensing techniques, AI-driven water resource management, and climate adaptation strategies. He possesses advanced research skills in machine learning applications in hydrology, statistical modeling, image-based waterlogging analysis, and integrated assessment of drought recovery processes, which have enabled him to produce innovative methodologies recognized internationally. His work has appeared in reputed journals such as Hydrological Processes, Environmental Modelling and Software, and Measurement: Journal of the International Measurement Confederation, highlighting his commitment to advancing high-quality scientific knowledge. In addition to his research output, Gr. Gao has demonstrated leadership through mentoring early-career researchers, contributing to community-based water resilience initiatives, and serving on professional committees within hydrology and environmental engineering societies. He has received multiple research honors and recognitions for his contributions to climate-adaptive hydrology and computational water modeling, reflecting his growing reputation as a leading scholar in his field.

Academic Profile: Scopus

Featured Publications:

  1. Gao, X. (2026). Measuring urban waterlogging depth from video images using human body models. Measurement: Journal of the International Measurement Confederation. 0 citations.

  2. Gao, X., et al. (2025). A framework to quantify drought recovery time accounting for the lagged effect. Hydrological Processes. 1 citation.

  3. Gao, X., et al. (2025). Real-time rainfall estimation using deep learning: Influence of background and rainfall intensity. Environmental Modelling and Software. 1 citation.

 

 

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.