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

 

 

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

 

Mohammad Esmaeili | Wildfire Monitoring | Best Researcher Award

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Mr. Mohammad Esmaeili | Wildfire Monitoring | Best Researcher Award

Mr. Mohammad Esmaeili | Wildfire Monitoring – PHD Student at SBUK | Iran

Mr. M. Esmaeili is a dedicated researcher specializing in remote sensing, hyperspectral image processing, machine learning, and deep learning-based geospatial analytics. He is currently pursuing his Ph.D. in the Technical and Engineering Faculty of Shahid Bahonar University of Kerman, where his doctoral research focuses on developing advanced neural architectures for spatial–spectral feature extraction in Earth observation data with applications in environmental monitoring, wildfire detection, and precision agriculture. Throughout his academic journey, Mr. M. Esmaeili has been involved in collaborative international research projects with scholars from leading institutions across Iran, Europe, Central Asia, and the United States, contributing to major studies that utilize multi-sensor data fusion, morphological feature integration, and LiDAR-assisted crop classification frameworks. His professional experience includes research assistantship roles, participation in laboratory-based geospatial analysis teams, and contributions to multi-disciplinary research environments that integrate remote sensing, signal processing, and artificial intelligence. His research interests extend to spectral dimensionality reduction, spatial attention mechanisms, convolutional neural network model optimization, object-based image analysis, and wildfire burn area mapping from multispectral and hyperspectral satellite platforms. He possesses strong research skills in Python programming, deep learning model development, GIS software environments, spectral data preprocessing, quantitative accuracy evaluation, and scientific publishing. His academic contributions are reflected in multiple Scopus and IEEE indexed articles, which have gained citation recognition in the research community. Although early in his career, Mr. M. Esmaeili has received acknowledgment through research collaborations, peer-reviewed journal publications, conference participation, and contributions to emerging solutions in environmental remote sensing. His work demonstrates both scientific rigor and practical relevance in contemporary geospatial intelligence research. In conclusion, Mr. M. Esmaeili continues to strengthen his academic profile through high-impact research output, technical skill development, and sustained international research engagement, positioning him as a promising scholar capable of future leadership in remote sensing and intelligent Earth observation systems.

Academic Profile: Google Scholar

Featured Publications:

  1. Hyperspectral image band selection based on CNN embedded GA (CNNeGA). (2023). Citations: 104.

  2. ResMorCNN model: hyperspectral images classification using residual-injection morphological features and 3DCNN layers. (2023). Citations: 98.

  3. HypsLiDNet: 3-D–2-D CNN model and spatial–spectral morphological attention for crop classification with DESIS and LiDAR data. (2024). Citations: 73.

  4. DESSA-net model: Hyperspectral image classification using an entropy filter with spatial and spectral attention modules on DeepNet. (2024). Citations: 17.