Qian Zhang | Remote Sensing | Best Researcher Award

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Prof. Qian Zhang | Remote Sensing | Best Researcher Award

Researcher at Nanjing Tech University, China 

Zhang Qian is a distinguished researcher and professor at Nanjing Tech University, specializing in remote sensing, forestry, and vegetation monitoring. With international research exposure, including a visiting scientist role at the Max Planck Institute, he has made significant contributions through high-impact publications in prestigious journals like Remote Sensing of Environment and Journal of Geophysical Research: Biogeosciences. His work includes pioneering innovations in hyperspectral imaging, chlorophyll fluorescence, and vegetation productivity, backed by multiple invention patents. He has secured national research funding and leads projects on vegetation stress monitoring and light use efficiency modeling. While his academic achievements are exceptional, further global recognition, industry applications, and mentorship efforts could enhance his profile. Overall, his expertise, innovative contributions, and leadership in remote sensing research make him a strong candidate for the Best Researcher Award, with potential for greater international impact through expanded collaborations and broader practical applications of his work.

Professional Profile

Education🎓

Zhang Qian has a strong academic background in remote sensing, forestry, and environmental science. He earned his Ph.D. in Remote Sensing from Nanjing University (2011–2016), where he focused on vegetation monitoring and hyperspectral imaging. Prior to that, he completed a Master’s degree in Forestry Management at Nanjing Forestry University (2008–2011), gaining expertise in sustainable forest ecosystems. His undergraduate studies were in Forestry and Biotechnology at Shandong Agricultural University (2004–2008), providing him with a solid foundation in ecological sciences and plant biology. Complementing his formal education, Zhang Qian has international research experience as a visiting scientist at the Max Planck Institute for Biogeochemistry in Germany (2016–2022), where he explored advanced remote sensing techniques for monitoring vegetation productivity. His diverse educational journey, combining forestry, remote sensing, and environmental monitoring, has positioned him as a leading researcher in the field of geospatial science and technology.

Professional Experience 📝

Zhang Qian has extensive professional experience in remote sensing, vegetation monitoring, and environmental research. He is currently a Professor at the School of Geomatics Science and Technology, Nanjing Tech University (since 2023), where he leads research in geospatial technology and remote sensing applications. Before this, he served as a Junior Researcher at the International Institute for Earth System Science, Nanjing University (2016–2022), focusing on vegetation productivity and hyperspectral imaging. During this period, he was also a Visiting Scientist at the Max Planck Institute for Biogeochemistry in Germany (2016–2022), gaining international experience in advanced remote sensing methodologies. His work integrates geospatial data, machine learning, and ecological modeling to assess environmental changes and plant health. With multiple research projects funded by the National Natural Science Foundation, Zhang Qian has significantly contributed to the scientific understanding of vegetation responses to climate variability, making him a leader in the field of remote sensing.

Research Interest🔎

Zhang Qian’s research interests lie at the intersection of remote sensing, vegetation monitoring, and environmental modeling. His work focuses on using hyperspectral imaging, solar-induced chlorophyll fluorescence (SIF), and photochemical reflectance indices to assess plant health and ecosystem productivity. He is particularly interested in developing multi-angle remote sensing techniques to improve the accuracy of vegetation stress detection under changing climate conditions. His research also explores the integration of active and passive remote sensing for monitoring vegetation responses to heat and drought stresses. Additionally, Zhang Qian investigates light use efficiency models and their applications in precision agriculture and forestry management. His work has significant implications for climate change studies, ecosystem conservation, and sustainable land management. By combining geospatial analysis, machine learning, and field-based observations, he aims to advance our understanding of plant-environment interactions and contribute to the development of innovative solutions for global environmental challenges.

Award and Honor🏆

Zhang Qian has received several awards and honors in recognition of his contributions to remote sensing, vegetation monitoring, and environmental research. His innovative work in hyperspectral imaging and solar-induced chlorophyll fluorescence has earned him national and international acclaim. He has been the recipient of research grants from the National Natural Science Foundation, supporting his groundbreaking projects on vegetation stress monitoring and light use efficiency modeling. Additionally, his multiple invention patents on remote sensing methodologies highlight his contributions to technological advancements in environmental monitoring. Zhang Qian’s research has been published in prestigious journals such as Remote Sensing of Environment and Journal of Geophysical Research: Biogeosciences, further solidifying his reputation in the academic community. His role as a visiting scientist at the Max Planck Institute also reflects his global impact. His continued dedication to scientific innovation makes him a strong contender for prestigious research awards and honors in his field.

Research Skill🔬

Zhang Qian possesses advanced research skills in remote sensing, geospatial analysis, and vegetation monitoring. His expertise lies in hyperspectral imaging, solar-induced chlorophyll fluorescence (SIF), and photochemical reflectance indices (PRI), which he applies to assess plant health and ecosystem productivity. He is skilled in multi-angle remote sensing techniques to enhance the accuracy of vegetation stress detection. Zhang Qian is also proficient in machine learning and data modeling, integrating these tools with geospatial data to improve environmental monitoring and prediction. His research involves developing light use efficiency models and utilizing active and passive remote sensing for climate impact studies. Additionally, he has strong experimental design and fieldwork capabilities, demonstrated through his extensive ground-based and UAV-based remote sensing projects. His ability to combine innovative sensor technologies, analytical methods, and environmental modeling makes him a leader in advancing remote sensing applications for sustainable ecosystem management and climate research.

Conclusion💡

Zhang Qian is a highly suitable candidate for the Best Researcher Award, given his strong academic credentials, impactful research, patents, and international collaborations. With further emphasis on global recognition, mentorship, and real-world applications, his profile would be even more competitive for top-tier research honors.

Publications Top Noted✍️

  • Title: Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops
    Authors: B Dechant, Y Ryu, G Badgley, Y Zeng, JA Berry, Y Zhang, Y Goulas, Z Li, …
    Year: 2020
    Citations: 294

  • Title: Reduction of structural impacts and distinction of photosynthetic pathways in a global estimation of GPP from space-borne solar-induced chlorophyll fluorescence
    Authors: Z Zhang, Y Zhang, A Porcar-Castell, J Joiner, L Guanter, X Yang, …
    Year: 2020
    Citations: 131

  • Title: Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements
    Authors: Z Li, Q Zhang, J Li, X Yang, Y Wu, Z Zhang, S Wang, H Wang, Y Zhang
    Year: 2020
    Citations: 126

  • Title: Impacts of drought and heatwave on the terrestrial ecosystem in China as revealed by satellite solar-induced chlorophyll fluorescence
    Authors: X Wang, B Qiu, W Li, Q Zhang
    Year: 2019
    Citations: 103

  • Title: Widespread and complex drought effects on vegetation physiology inferred from space
    Authors: W Li, J Pacheco-Labrador, M Migliavacca, D Miralles, A Hoek van Dijke, …
    Year: 2023
    Citations: 64

  • Title: Improving the ability of the photochemical reflectance index to track canopy light use efficiency through differentiating sunlit and shaded leaves
    Authors: Q Zhang, JM Chen, W Ju, H Wang, F Qiu, F Yang, W Fan, Q Huang, …
    Year: 2017
    Citations: 64

  • Title: Separating the effects of climate change and human activity on water use efficiency over the Beijing-Tianjin Sand Source Region of China
    Authors: L Guo, N Shan, Y Zhang, F Sun, W Liu, Z Shi, Q Zhang
    Year: 2019
    Citations: 58

  • Title: Effects and safety of calcimimetics in end stage renal disease patients with secondary hyperparathyroidism: a meta-analysis
    Authors: Q Zhang, M Li, L You, H Li, L Ni, Y Gu, C Hao, J Chen
    Year: 2012
    Citations: 57

  • Title: Assessing bi-directional effects on the diurnal cycle of measured solar-induced chlorophyll fluorescence in crop canopies
    Authors: Z Zhang, Y Zhang, Q Zhang, JM Chen, A Porcar-Castell, L Guanter, Y Wu, …
    Year: 2020
    Citations: 52

  • Title: Simulating emission and scattering of solar-induced chlorophyll fluorescence at far-red band in global vegetation with different canopy structures
    Authors: B Qiu, JM Chen, W Ju, Q Zhang, Y Zhang
    Year: 2019
    Citations: 52

  • Title: ChinaSpec: A network for long‐term ground‐based measurements of solar‐induced fluorescence in China
    Authors: Y Zhang, Q Zhang, L Liu, Y Zhang, S Wang, W Ju, G Zhou, L Zhou, J Tang, …
    Year: 2021
    Citations: 49

  • Title: Seasonal variations in the relationship between sun-induced chlorophyll fluorescence and photosynthetic capacity from the leaf to canopy level in a rice crop
    Authors: J Li, Y Zhang, L Gu, Z Li, J Li, Q Zhang, Z Zhang, L Song
    Year: 2020
    Citations: 38

  • Title: Ability of the photochemical reflectance index to track light use efficiency for a sub-tropical planted coniferous forest
    Authors: Q Zhang, W Ju, JM Chen, H Wang, F Yang, W Fan, Q Huang, T Zheng, …
    Year: 2015
    Citations: 38

  • Title: Improving the PROSPECT model to consider anisotropic scattering of leaf internal materials and its use for retrieving leaf biomass in fresh leaves
    Authors: F Qiu, JM Chen, W Ju, J Wang, Q Zhang, M Fang
    Year: 2018
    Citations: 34

  • Title: Topographic correction of forest image data based on the canopy reflectance model for sloping terrains in multiple forward mode
    Authors: W Fan, J Li, Q Liu, Q Zhang, G Yin, A Li, Y Zeng, B Xu, X Xu, G Zhou, H Du
    Year: 2018
    Citations: 27

Leling Xiao | Environmental Science | Best Researcher Award

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Ms. Leling Xiao | Environmental Science | Best Researcher Award

PhD Candidate at Beijing Normal University,China

Ms. Leling Xiao is a dedicated researcher in environmental science, currently pursuing a Ph.D. at Beijing Normal University, specializing in river sediment dynamics, shoreline changes, and ecological systems. She holds an MSc in Carbon Management from the University of Edinburgh and dual bachelor’s degrees in Economics and Law from Xiangtan University. With multiple peer-reviewed publications in prestigious journals like Engineering Geology and Remote Sensing, she has significantly contributed to climate change and hydrological research. Her professional experience at China Testing & Certification International Group involved carbon neutrality assessments, ecological product valuation, and forestry carbon sink calculations. Recognized with numerous awards, including the National Bronze Award in the “Challenge Cup” and a First-Class Comprehensive Scholarship, she demonstrates academic excellence and leadership. Proficient in Python, R, and Matlab, she applies data-driven approaches to environmental challenges. Her expertise bridges research and policy, positioning her as a promising leader in sustainability and climate science.

Professional Profile 

Education

Ms. Leling Xiao has a strong and diverse educational background spanning environmental science, carbon management, economics, and law. She is currently pursuing a Ph.D. in Environmental Science at Beijing Normal University, focusing on the dynamic changes of river sediment, shorelines, and ecological systems. She earned her Master of Science in Carbon Management from the University of Edinburgh, where she specialized in climate change mitigation, carbon economics, and environmental modeling. During her undergraduate studies at Xiangtan University, she completed a double degree in International Economics and Trade and Law, ranking first in comprehensive evaluation. Her coursework covered finance, international trade, investment, and legal studies, providing her with a multidisciplinary approach to environmental and sustainability issues. With a strong academic foundation supported by prestigious scholarships and honors, Ms. Xiao integrates scientific research, economic principles, and legal frameworks to address pressing environmental challenges on a global scale.

Professional Experience

Ms. Leling Xiao has extensive professional experience in environmental science, climate policy, and carbon management. She worked as an Assistant Engineer in the Climate Change Response Services Department at China Testing & Certification International Group, where she contributed to national carbon neutrality initiatives, carbon footprint calculations, and ecological product valuation. Her work included key projects such as the Ministry of Industry and Information Technology’s carbon peak and neutrality public service platform, forestry carbon sink accounting, and waste incineration emission reduction. She also played a role in developing national and enterprise standards for low-carbon economies and carbon asset management. In her doctoral research, she is actively involved in studying shoreline dynamics and aquatic ecological health in the Yangtze River Basin. With hands-on experience in research, policy development, and technical project implementation, Ms. Xiao’s expertise bridges academic research and practical sustainability solutions, making her a valuable contributor to environmental science and climate action.

Research Interest

Ms. Leling Xiao’s research interests lie at the intersection of environmental science, river dynamics, and climate change mitigation. Her Ph.D. research focuses on the dynamic changes of river sediment, shorelines, and aquatic ecosystems, aiming to understand their ecological and hydrological implications. She is particularly interested in fluvial geomorphology, water resource management, and ecological health assessments, with an emphasis on the Yangtze River Basin. Additionally, her background in carbon management has led her to explore low-carbon development strategies, carbon footprint analysis, and sustainable resource utilization. Through her work, she aims to bridge scientific research with environmental policy, contributing to better management of river systems and climate resilience. With expertise in remote sensing, environmental modeling, and carbon neutrality strategies, Ms. Xiao’s research seeks to develop innovative solutions for sustainable watershed management, erosion control, and climate adaptation in response to global environmental challenges.

Award and Honor

Ms. Leling Xiao has received numerous awards and honors in recognition of her academic excellence, research contributions, and leadership. She was awarded the Doctoral Academic Scholarship (Second Class) at Beijing Normal University and recognized as an Outstanding Teaching Assistant for her contributions to academia. Her achievements in research and innovation were highlighted through national and provincial awards, including the National Bronze Award in the “Challenge Cup” College Students’ Entrepreneurship Competition and the Provincial Silver Award in the Hunan “Creating Youth” Competition. She also secured the National Third Prize in the National English Contest for College Students. During her undergraduate years at Xiangtan University, she consistently ranked in the top 1%, earning the First-Class Comprehensive Scholarship twice. Additionally, she was honored as an Outstanding Student Leader and recognized for her volunteer work. These accolades reflect her dedication to academic excellence, research innovation, and leadership in environmental science and sustainability.

Research Skill

Ms. Leling Xiao possesses strong research skills in environmental science, hydrology, and carbon management, supported by expertise in data analysis, remote sensing, and environmental modeling. She is proficient in programming languages such as Python, R, and Matlab, which she utilizes for data processing, statistical modeling, and ecological assessments. Her experience with remote sensing tools and GIS applications allows her to analyze shoreline changes, sediment transport, and water system connectivity. Additionally, she has worked extensively on carbon footprint calculations, climate impact assessments, and ecological product valuation, contributing to national carbon neutrality projects. Her ability to integrate scientific research with policy applications makes her a versatile researcher. She is also skilled in academic writing and publishing, with multiple peer-reviewed articles in top environmental journals. With a strong foundation in interdisciplinary research methods, Ms. Xiao applies quantitative and qualitative approaches to address complex environmental challenges effectively.

Conclusion

Xiao Leling is a highly qualified candidate for the Best Researcher Award, with strong academic credentials, impactful research publications, and applied contributions to environmental science and carbon management. While additional leadership in research projects and greater international collaboration could further enhance their profile, their contributions to sediment transport, climate change, and carbon neutrality make them a strong contender for the award.

Publications Top Noted

  • Author(s): Xiao, Leling; Guo, Chao; Du, Jizeng; Zhou, Yang; Yi, Yunjun
  • Year: 2025
  • Title: Rill erosion in post-seismic watershed – A non-negligible transporting way of fluvial sediment
  • Journal: Engineering Geology
  • DOI/Reference: (Include DOI if available)

LUCIA ENRIQUEZ | Remote Sensing | Best Researcher Award

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Mrs. LUCIA ENRIQUEZ | Remote Sensing | Best Researcher Award

Research Analyst at Ministry of Agriculture of Peru INIA, Peru

Lucia Carolina Enríquez Pinedo is a dedicated Forestry and Environmental Engineer with extensive experience in precision agriculture, GIS applications, biodiversity research, and environmental consulting. With a strong academic background from Universidad Nacional del Centro del Perú (UNCP), she has contributed to several national research projects aimed at improving agricultural innovation, resource management, and environmental sustainability. Her expertise in remote sensing, statistical data analysis, and ecological conservation allows her to drive impactful solutions in forestry and agricultural sectors. Lucia has also been actively involved in academic training programs, professional workshops, and interdisciplinary collaborations. Her commitment to sustainable development and technological integration in agriculture positions her as a key contributor in the field of environmental engineering and research.

Professional Profile

Education

  • Universidad Nacional del Centro del Perú (UNCP) (2014-2019)
    • Degree: Bachelor in Forestry and Environmental Engineering
  • Specialized Certifications:
    • Geographic Information Systems (GIS) (QGIS & ArcGIS 10.4) – Colegio de Ingenieros del Perú, 2018
    • Data Analysis (R, SPSS, RStudio, Big Data, Machine Learning) – UNCP, 2019
    • Remote Sensing and Drone Technology – UNCP, 2019
    • Microsoft Office Suite (Excel, Word, PowerPoint) – UNCP, 2018
    • English Language Proficiency – CEID, UNCP, 2018
  • High School:
    • Institución Educativa Emblemática “Francisca Diez Canseco de Castilla,” Huancavelica (2008-2012)

Professional Experience

  • Specialist in Precision Agriculture (Jun 2023 – Jan 2024)
    • Instituto Nacional de Innovación Agraria (INIA)
    • Led agricultural innovation projects across multiple regions in Peru.
  • Research Assistant (Jun 2023 – Jan 2024)
    • Instituto Nacional de Innovación Agraria (INIA)
    • Supported research on precision agriculture methodologies.
  • GIS Analyst (Jan 2022 – May 2023)
    • Electrocetro S.A., Consorcio RIAMACC S.A.C.
    • Updated geospatial databases and GIS applications for energy distribution.
  • Research Assistant (Feb 2021 – Dec 2021)
    • Proyecto PROAGROBIO, INIA
    • Contributed to agrobiodiversity resource management across Peru.
  • Environmental Advisor (Oct 2020 – Jan 2021)
    • WALSH PERÚ S.A.
    • Developed environmental awareness programs and wildlife conservation initiatives.

Research Interests

Lucia Carolina Enríquez Pinedo focuses on integrating technology with sustainable environmental practices. Her research interests include:

  • Precision agriculture using remote sensing and GIS applications.
  • Biodiversity conservation and ecological restoration.
  • Climate change adaptation strategies for forestry and agriculture.
  • Big Data applications in environmental and agricultural sciences.
  • Sustainable land management and agroforestry systems.

Research Skills

Lucia has acquired advanced technical skills through her education and professional experience:

  • Geospatial Analysis: Expertise in QGIS, ArcGIS, and remote sensing.
  • Data Science & Analytics: Proficiency in R, SPSS, and machine learning applications.
  • Precision Agriculture: Experience in UAV operations, sensor technology, and data processing.
  • Environmental Impact Assessment: Conducting research on biodiversity conservation and land-use planning.
  • Technical Writing & Reporting: Producing scientific reports, research papers, and project documentation.

Awards and Honors

  • Recognized as an expert in GIS applications for environmental and agricultural research.
  • Awarded participation in national workshops on agroforestry and sustainable land management.
  • Certified specialist in remote sensing and drone technology applications.
  • Selected for professional training programs in biodiversity conservation.

Conclusion

Lucia Carolina Enríquez Pinedo is a highly skilled forestry and environmental engineer with a passion for sustainable development and technological innovation. Her extensive experience in GIS, remote sensing, and precision agriculture has positioned her as a valuable contributor to national and international research projects. Through her dedication to environmental conservation and agricultural innovation, she continues to drive advancements in ecological sustainability. Lucia remains committed to interdisciplinary collaborations and lifelong learning, ensuring that her work continues to impact the environmental and agricultural sectors positively.

Publication Top Notes

  1. Estimation of height and aerial biomass in Eucalyptus globulus plantations using UAV-LiDAR
    Year: 2025
    Authors: Pinedo, L.E.; Ortega Quispe, K.; Ccopi Trucios, D.; Urquizo Barrera, J.; Rios Chavarría, C.; Pizarro Carcausto, S.; Matos Calderon, D.; Patricio Rosales, S.; Rodríguez Cerrón, M.; Ore Aquino, Z. et al.

  2. Detecting Changes in Soil Fertility Properties Using Multispectral UAV Images and Machine Learning in Central Peru
    Year: 2025
    Authors: Lucia Enriquez; Kevin Abner Ortega Quispe; Dennis Ccopi Trucios; Claudia Sofía Rios Chavarría; Julio Cesar Urquizo Barrera; Solanch Patricio; Lidiana Alejandro; Segundo Manuel Oliva Cruz; Elgar Barboza; Samuel Edwin Pizarro Carcausto

  3. Analysis of Soil Quality through Aerial Biomass Contribution of Three Forest Species in Relict High Andean Forests of Peru
    Year: 2024
    Authors: Cáceres, Y.Z.; Torres, B.C.; Archi, G.C.; Mallqui, R.Z.; Pinedo, L.E.; Trucios, D.C.; Quispe, K.O.

  4. Efficiency of a Compound Parabolic Collector for Domestic Hot Water Production using the F-Chart Method
    Year: 2024
    Authors: Quispe, K.O.; Vila, O.H.; Trucios, D.C.; Povis, A.L.; Pinedo, L.E.; Torres, B.C.

  5. Estimation of Forage Biomass in Oat (Avena sativa) Using Agronomic Variables through UAV Multispectral Imaging
    Year: 2024
    Authors: Urquizo, J.; Ccopi, D.; Ortega, K.; Castañeda, I.; Patricio, S.; Passuni, J.; Figueroa, D.; Enriquez, L.; Ore, Z.; Pizarro, S.

  6. Using UAV Images and Phenotypic Traits to Predict Potato Morphology and Yield in Peru
    Year: 2024
    Authors: Ccopi, D.; Ortega, K.; Castañeda, I.; Rios, C.; Enriquez, L.; Patricio, S.; Ore, Z.; Casanova, D.; Agurto, A.; Zuñiga, N. et al.

Karim Solaimani | Environmental Sciences| Best Researcher Award

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🌟Prof. Karim Solaimani, Environmental Sciences, Best Researcher Award🏆

  Professor at Sari Agricaltural Sciences & Natural Resoueces University, Iran

Karim Solaimani is a distinguished Professor with expertise in Remote Sensing Hydrology and Environmental Sciences. Holding a Ph.D. from the University of Glasgow, U.K., he has established himself as a leading authority in the field. His academic journey reflects a commitment to advancing knowledge in various aspects of earth and environmental sciences.

Education:

Dr. Solaimani earned his Ph.D. in Remote Sensing Hydrology & Environmental Sciences from the prestigious University of Glasgow, U.K. His educational background laid the foundation for his extensive research contributions in the realm of earth sciences.

Author Metrics:

His author metrics, including the Orcid Profile, Scopus Profile reflect his commitment to transparency and academic integrity. These metrics serve as a testament to the scholarly impact and reach of his work.

  • Citations: 1,449 citations across 1,312 documents, indicating the impact and reach of Dr. Solaimani’s work.
  • Documents: Authored 57 documents, contributing to the scholarly literature in his field.
  • h-index: The h-index, a measure of both productivity and citation impact, is 18 for Dr. Solaimani.

Research Focus:

His primary research focus encompasses Remote Sensing & GIS, Flood, Climate Change, Land Use Changes Management, and Water Resources. Dr. Solaimani’s work delves into the applications of cutting-edge technologies to address critical environmental challenges.

Professional Journey:

With an affiliation to Sari Agricultural Sciences and Natural Resources University in Iran, Dr. Solaimani has cultivated a remarkable professional journey. His career includes significant contributions in academia, research supervision, and the execution of numerous research projects.

Honors & Awards:

Acknowledged for his outstanding contributions, Dr. Solaimani received the prestigious titles of Iran’s National Top Researcher in 2008 and Iran’s National Top Educational Professor in 2023. These accolades underscore his impactful role in both research and education.

Publications Top Noted & Contributions:

Dr. Solaimani boasts an impressive record of 225 articles, indexed in reputable databases such as ISI, Scopus, and ISC. Additionally, he has authored nine books, further contributing to the dissemination of knowledge in his areas of expertise.

Title: A new approach to landslide assessment using Depth-Number fractal model

  • Journal: ECOPERSIA
  • Year: 2023
  • Contributor: Karim Solaimani
  • Brief Summary: This article introduces a novel Depth-Number fractal model for landslide assessment, presenting an innovative approach in the field.

Title: Evaluation of effective criteria on flood risk based on network analysis process and GIS in Vazroud basin of Mazandaran province

  • Journal: Ecohydrology
  • Year: 2023
  • Contributor: Karim Solaimani
  • Brief Summary: The article explores the criteria influencing flood risk through a combination of network analysis and GIS in the Vazroud basin of Mazandaran province.

Title: Monitoring and Forecasting of Spatiotemporal Changes in Land Use and the Growth of Kermanshah Township Using Remote Sensing and the CA-Markov Model

  • Journal: Urban Structure and Function Studies
  • Year: 2023
  • Contributor: Karim Solaimani
  • Brief Summary: The article focuses on monitoring and forecasting spatiotemporal changes in land use and the growth of Kermanshah Township, employing Remote Sensing and the CA-Markov Model.

Title: Desalination plant feasibility and site selection on the southern Caspian Sea coasts using SAW and TOPSIS multi-criteria analysis

  • Journal: International Journal of Environmental Science and Technology
  • Year: 2023-09
  • DOI: 10.1007/s13762-023-05044-y
  • Contributors: S. M. Banihashemi; K. Solaimani; D. Yousefi Kebria
  • Brief Summary: This collaborative work assesses the feasibility and site selection for a desalination plant on the southern Caspian Sea coasts using SAW and TOPSIS multi-criteria analysis.

Title: Investigating Alterations in the underground water level of Ravansar- Sanjabi Plain under CIMP5 climate scenarios

  • Journal: Desert Ecosystem Engineering
  • Year: 2023
  • Contributor: Karim Solaimani
  • Brief Summary: This article investigates changes in the underground water level in Ravansar-Sanjabi Plain under different climate scenarios, providing insights into potential impacts.

Research Timeline:

Throughout his research timeline, Dr. Solaimani has successfully supervised 39 Ph.D. students and 102 M.Sc. students. His involvement in 42 research projects underscores his dedication to advancing scientific understanding and addressing real-world challenges.

In summary, Dr. Karim Solaimani’s journey is marked by academic excellence, impactful research, and a commitment to nurturing the next generation of scientists. His multidisciplinary approach to environmental sciences has positioned him as a key figure in the field, contributing significantly to the global discourse on pressing environmental issues.