Onyemaechi John Nnamani | Climate Change | Excellence in Research award

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Mr. Onyemaechi John Nnamani | Climate Change | Excellence in Research award

Federal University of Technology Akure | Nigeria

Onyemaechi John Nnamani is an academic and geospatial researcher in the Department of Surveying and Geoinformatics at the Federal University of Technology, Akure, Nigeria. He holds B.Tech and M.Tech degrees in Surveying and Geoinformatics from FUTA. Currently an Assistant Lecturer, he teaches surveying-related courses and supervises undergraduate research. His research interests span geoinformatics, remote sensing, GIS applications, land use and land cover change, urban sustainability, and climate adaptation technologies. He has published widely in reputable journals and actively participates in professional development and conferences. His contributions have earned him awards, including Lecturer of the Year, reflecting his commitment to impactful research, teaching, and sustainable development.

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Xiao Yang | Soil Science | Research Excellence Award

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Dr. Xiao Yang | Soil Science | Research Excellence Award

Shandong University | China

Dr. Xiao Yang is a distinguished researcher at the Institute of Marine Science and Technology, Shandong University, with a focus on geological hazards, urban underground space, land subsidence, and water resource management. He earned his M.S. and Ph.D. degrees from Shandong University under the supervision of Prof. Chao Jia, where he developed expertise in laboratory and in-situ geotechnical characterization. Dr. Yang has led several funded research projects, including studies on ecological restoration of the Yellow River Basin, three-dimensional fluid–solid coupling models for land subsidence, pollutant transport in landfill sites, evaluation of ancient river channels, and groundwater-induced environmental issues in the Weibei Plain. His research integrates multi-source data, GIS, numerical modeling, and field investigations to assess environmental risks and develop sustainable management strategies for groundwater and urban ecosystems. Dr. Yang has authored numerous publications in high-impact journals such as the Journal of Environmental Management, Journal of Hydrology, and KSCE Journal of Civil Engineering, addressing topics like groundwater pollution, runoff dynamics, ecological vulnerability, and climate change impacts on hydrological systems. Recognized with awards including the Outstanding Graduate Leader Scholarship, May Fourth Youth Science Award, and provincial-level honors, Dr. Yang continues to contribute to environmental science and engineering. His work advances sustainable management of geological and water resources while promoting ecological restoration in vulnerable regions.

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Moncef Bouaziz | Soil Fertility | Research Excellence Award

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Dr. Moncef Bouaziz | Soil Fertility | Research Excellence Award

TU Bergakademie Freiberg | Germany

Dr. Moncef Bouaziz is an environmental engineer and remote sensing specialist with extensive academic and applied research experience in environmental monitoring, geospatial analysis, and decision-support systems. He earned his PhD in Environmental Remote Sensing from TU Bergakademie Freiberg, following advanced training in environmental engineering and water and soil management. Since 2022, he has served as scientific staff at TU Bergakademie Freiberg, where he develops spatial decision support systems for post-mining environmental change assessment, leads 3D modeling and platform development, and applies machine learning techniques in Python for remote modeling and forecasting. His academic experience includes prior appointments as an assistant professor at the University of Sfax and as scientific staff at TU Dresden, contributing to projects on land degradation, aeolian dynamics, drought assessment, and ecosystem monitoring. Dr. Bouaziz has coordinated and participated in several nationally and internationally funded research initiatives, including DAAD-supported climate change education platforms and European environmental monitoring programs. His research interests focus on remote sensing–based land degradation analysis, drought prediction, climate change impacts, post-mining hazard assessment, and the integration of machine learning with geospatial data. He has authored numerous peer-reviewed publications in high-impact international journals and actively supervises graduate and undergraduate students. Through interdisciplinary research, teaching, and international collaboration, he aims to advance sustainable environmental management and evidence-based spatial planning.

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Mehdi Minbashi Moeini | Weed Science | Best Researcher Award

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Prof. Mehdi Minbashi Moeini | Weed Science | Best Researcher Award

Iranian Research Institute of Plant Protection | Iran

Prof. Mehdi Minbashi Moeini is a leading weed scientist and agronomist whose academic career is built on a B.Sc. in Agronomy & Plant Breeding from Shiraz University, an M.Sc. in Agronomy from Isfahan University of Technology, and a Ph.D. in Weed Science from the University of Tehran, where he focused on pioneering GIS applications for weed management in wheat and canola crops. With over two decades of service at the Iranian Research Institute of Plant Protection (IRIPP), he has advanced from Research Instructor to Research Professor, while holding key leadership roles including Deputy for Research & Technology, Secretary of the Agronomy Taskforce at AREEO, and Head of the Weed Research Department. His scholarly contributions include 10 documented publications, which have achieved 83 citations with an h-index of 5, underlining his scientific impact in the field. His research interests span weed biology, integrated weed management, herbicide physiology, parasitic weeds such as broomrape, and precision agriculture using GIS and remote sensing. He is also the author of notable scientific books including “Biology and Management of Water Hyacinth” and “Sunflower Plant Protection Handbook.” His work supports innovation in sustainable weed control and strengthens global agricultural productivity.

Profiles: Scopus | Orcid

Featured Publications

Moeini, M. M., Haghighi, A., Kootiani, M. S., & Samadani, B. (2023). Evaluation of Bentazon + Dichlorprop for control of noxious broadleaf weeds in wheat fields of Iran. Gesunde Pflanzen.

Moeini, M. M., Mamnoie, E., Karaminejad, M. R., Aliverdi, A., & Moeini, M. M. (2022). Application efficacy of newly released pre-mixed herbicide in winter wheat: Joystick®. Journal of Agricultural Science, Estonian Academic Agricultural Society.

Veisi, M., Moeini, M. M., Jahedi, A., Mansoori, M. S., & Sabeti, P. (2022). Weed control efficacy: Response of chickpea to pre- and post-emergence herbicides. Gesunde Pflanzen.

Moeini, M. M., Hadizadeh, M. H., Karaminejad, M. R., Zangeneh, H. S., Jamali, M., & Haghighi, A. A. (2022). Efficacy of fluroxypyr compared with common broadleaf herbicides in the wheat fields. Journal of Iranian Plant Protection Research.

Moeini, M. M. (2021). Germination biology and phenological development stages of false jagged-chickweed (Lepyrodiclis holosteoides). Journal of Plant Protection Research.

Tigabu Redae Alle | Forestry | Editorial Board Member

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Dr. Tigabu Redae Alle | Forestry | Editorial Board Member

Amhara Agricultural Research Institute | Ethiopia

Tigabu Redae Alle is an Ethiopian forestry researcher with more than a decade of professional experience in forest science, biodiversity, ecosystem management, and climate-change–oriented forestry research. Since 2013, he has served at the Sirinka Agricultural Research Center (SARC) under the Amhara Agricultural Research Institute, progressing from junior roles to Associate Researcher in Forestry and holding leadership responsibilities such as Coordinator of the Forestry and Agroforestry Research Directorate. He holds a PhD in Forest Sciences from Sokoine University of Agriculture, an MSc in Forest Management and Climate Change, and a BSc in General Forestry. contributing to journals such as Trees, Forests and People, Heliyon, Abyssinia Journal of Science and Technology, and Ethiopian Journal of Science & Technology. His research focuses on agroforestry systems, invasive pests, forest resource management, Ziziphus fruit tree species, Eucalyptus pest ecology, climate change adaptation, biodiversity assessment, and sustainable forest utilization. He has received prestigious scholarships from EEFRI, SIDA, ILRI, and WCDI, along with certificates of appreciation for training and community contributions. Tigabu aims to advance sustainable forestry solutions, strengthen climate-resilient landscapes, and support rural livelihoods through science-based forest management.

Profile: Google Scholar

Featured Publications

Getachew, G., Wudu, D., Alamire, G., Kasahun, H., Ayalew, A., Redae, T., et al. (2021). Adaptability and growth performance of introduced bamboo species in North East Ethiopia. Abyssinia Journal of Science and Technology,

Redae, T., Andrew, S. M., Karlsson, M. F., & Gure, A. (2024). Morphological traits of fruits and seeds of Ziziphus tree species growing in different land uses in Ethiopia. Heliyon,

Ayalew, A., Kassahun, H., Wudu, M., Alamarie, G., & Redae, T. et al. (2025). Community practices and conservation concerns: A study on the utilisation and management of Terminalia brownii in Amhara Region, Ethiopia. Discover Agriculture,

Getachew, G., Ayalew, A., Kassahun, H., Tesfaye, A., Alene, M., Redae, T., et al. (2024). Evaluate the adaptability of Eucalyptus species in the highlands of the Amhara region. Heliyon,

Alemu, A. A., Ayalew, G. G., Mengistie, H. K., Sisay, D. W., Menber, G. A., Alle, T. R., et al. (2024). Effects of seedling nursery lifespan and pot size on growth and survival rate of Grevillea robusta in Eastern Amhara.

Ayomide Olubaju | Remote sensing | Best Researcher Award

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Mr. Ayomide Olubaju | Remote sensing | Best Researcher Award

Abiola Ajimobi Technical University | Nigeria

Olubaju Ayomide Emmanuel is a dedicated and innovative researcher specializing in Geographic Information Systems (GIS) and Remote Sensing, with growing recognition for his contributions to geospatial science. He holds an M.Tech. in Surveying and Geoinformatics (Remote Sensing) and a B.Tech. in the same discipline from the Federal University of Technology, Akure, Nigeria. Currently serving as an Assistant Lecturer at Abiola Ajimobi Technical University, Ibadan, he combines teaching and research to advance environmental monitoring and sustainable urban planning. His research interests encompass environmental degradation, climate change impact assessment, urban informatics, multi-sensor remote sensing, forest species monitoring, and machine learning applications in geospatial analysis. Olubaju has authored and co-authored several peer-reviewed publications focusing on urbanization, forest ecology, and mining-induced land degradation, accumulating 3 documents, 4 citations, and an h-index of 2. He has participated in national and international conferences, workshops, and collaborative projects addressing climate resilience and spatial data science. A member of professional societies including ISPRS, IAENG, and the Nigeria Institution of Surveyors, Olubaju’s academic and professional journey reflects a commitment to interdisciplinary research and data-driven solutions for sustainable environmental management. His goal is to pursue a Ph.D. to deepen his expertise and contribute to innovative geospatial applications in global environmental research.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

Akinbiola, S., Akinsola, J. E. T., Ajagbe, S. A., Salami, A., Olubaju, A., Awotoye, O., & Awoleye, O. M. (2025). Artificial intelligence technique for prediction of carbon stocks and uncertainty estimates in tropical forests. SN Computer Science.

Akinbiola, S., Salami, A. T., Olubaju, A. E., & Awotoye, O. O. (2025). Assessing the impact of environmental variables on the distribution of keystone tree species in Omo-Shasha-Oluwa forest complex using MaxEnt modelling techniques. SSRN Electronic Journal.

Ibukun, J. A., Olubaju, A. E., Thomas, S. F., Sodipo, E. O., Akinbiola, S. A., Oyetunji, S. O., Shitu, K., Kucher, D. E., & Tariq, A. (2025). Modeling mining-induced land degradation in Itagunmodi: A multi-temporal machine learning approach with random forest and gradient boosting. Trees, Forests and People, 21, 100926.

Ibukun, J. A., Olubaju, A. E., Thomas, S. F., Sodipo, E. O., Akinbiola, S. A., Rebouh, N. Y., Said, Y., & Tariq, A. (2025). Assessing vegetation degradation and thermal effects of artisanal small-scale mining using remote sensing time series data. Land Degradation & Development.

Akinbiola, S., Salami, A. T., Olubaju, A. E., & Awotoye, O. O. (2024). Assessing the impact of environmental variables on the distribution of keystone tree species in Omo-Shasha-Oluwa forest complex using MaxEnt modelling techniques. SSRN Electronic Journal.

Sohail Abbas | Crop Science | Best Researcher Award

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Dr. Sohail Abbas | Crop Science | Best Researcher Award

Henan university | China

Dr Sohail Abbas is a dedicated climate-science researcher currently serving as a National Young Talent Researcher at the College of Geography and Environmental Sciences, Henan University, Kaifeng, China, with more than eight years of experience in academia and research. He holds a DPhil in Geography/Climate Science from Konkuk University (South Korea), an MPhil in Environmental Science from University of Punjab (Pakistan), and earlier degrees in Science and related fields. His work explores climate change dynamics, extreme precipitation, land-use impacts, geo-environmental modeling, and food-security outcomes—illustrated by studies such as his analysis of extreme precipitation trends in Pakistan’s warming climate. Throughout his career he has authored more than 30 peer-reviewed articles, and currently his indices reflect an h-index of 13 with 604 citations across 34 documented publications. He is proficient in methods ranging from GIS/RS, statistical and econometric modeling, to numerical and physical climate simulation, and he has engaged widely in teaching, lecturing, research-assistancy and referee duties in Pakistan, Korea and China. His academic journey is marked by a strong commitment to interdisciplinary approaches and rigorous frameworks that link climate-variability, hydrology, agriculture, and socioeconomic systems. He continues to push towards enhanced understanding of climate-agriculture-resource interactions and to contribute to resilient, sustainable development in vulnerable regions.

Profiles: Scopus | Orcid

Featured Publications

Abbas, S., Haider, A., Kousar, S., Lu, H., Lu, S., Liu, F., Li, H., Miao, C., Feng, W., & Ahamad, M. I. (2025). Climate variability, population growth, and globalization impacting food security in Pakistan. Scientific Reports.

Abbas, S., Kashif, U., Kousar, S., Noor, S., Lu, H., & Lu, S. (2025, September). Machine learning-based prediction analysis for Australia sustainable transport: Optimal transportation mix equation for long-term policy planning and environmental impact mitigation. Energy.

Kashif, U., Abbas, S., Kousar, S., & Lu, H. (2025, June). Linking of bio-energy and carbon neutrality: Navigating economic policy uncertainty and climate change policy in the USA. Energy.

Ashraf, T., Ahamad, M. I., Mahmood, S., Fu, J., Mehmood, M. S., Rehman, A., Abbas, S., Naqvi, S. A. A., & Zulqarnain, R. M. (2025, January 27). Exploring hotspots of traffic accidents in Chiniot–Sargodha Road, Punjab, Pakistan. Environment, Development and Sustainability.

Yaseen, M., Abbas, S., & Latif, Y. (2024). Evaluating the effects of soil physicochemical properties under different land use types in the arid zones of Pakistan. Environment, Development and Sustainability.

Karim Solaimani | Remote Sensing | Best Researcher Award

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Prof. Karim Solaimani | Remote Sensing | Best Researcher Award

Sari Agricultural Sciences and Natural Resources, Iran

Professor Karim Solaimani is a distinguished Iranian environmental scientist and hydrologist affiliated with the Sari Agricultural Sciences and Natural Resources University (SANRU) under the Ministry of Science, Research and Technology of Iran. He earned his Ph.D. in Environmental Remote Sensing and Hydrology from the University of Glasgow, UK, and has since established himself as an eminent scholar in the fields of remote sensing, GIS applications, hydrology, watershed management, and land use planning. His extensive academic contributions include over 85 peer-reviewed journal articles, widely cited in international scientific databases, reflecting significant impact and global recognition. Professor Solaimani’s research integrates geospatial technologies for environmental modeling, sediment yield assessment, and natural hazard mapping, focusing particularly on Iran’s complex hydrological systems. He has received the Excellent National Teaching and Research Professor Award, acknowledging his outstanding contributions to education and research. Over his career, he has collaborated with multidisciplinary teams, supervised numerous postgraduate students, and contributed to the advancement of environmental science through innovation, mentorship, and applied research. His enduring commitment to sustainable land and water resource management continues to influence both academic and practical environmental policy developments in Iran and beyond.

Profile: Orcid

Featured Publications

Solaimani, K., Darvishi, S., & Shokrian, F. (2024). Assessment of machine learning algorithms and new hybrid multi-criteria analysis for flood hazard and mapping. Environmental Science and Pollution Research.

Solaimani, K. (2023). A new approach to landslide assessment using Depth-Number fractal model. ECOPERSIA.

Solaimani, K. (2023). Evaluation of effective criteria on flood risk based on network analysis process and GIS in Vazroud basin of Mazandaran province. Ecohydrology.

Solaimani, K. (2023). Investigating alterations in the underground water level of Ravansar-Sanjabi Plain under CIMP5 climate scenarios. Desert Ecosystem Engineering.

Solaimani, K. (2023). Monitoring and forecasting of spatiotemporal changes in land use and the growth of Kermanshah Township using remote sensing and the CA-Markov model. Urban Structure and Function Studies.