saeid shabani | Environmental Science | Best Researcher Award

saeid shabani | Environmental Science | Best Researcher Award

Assist. Prof. Dr saeid shabani, AREEO, Iran

Assist. Prof. Dr. Saeid Shabani is a distinguished forestry researcher specializing in forest monitoring, natural hazards, and sustainable ecosystem development 🌳🌍. He holds a Ph.D. in Forestry from Tarbiat Modares University, Iran (2015), where he developed models for predicting soil and forest stand disturbances caused by logging 🏗️🌲. His research integrates GIS, machine learning, and statistical modeling to assess forest fragmentation, carbon stock monitoring, and climate change impacts 📊🛰️. Dr. Shabani has led numerous projects on afforestation, ecosystem assessments, and genetic variations in tree species 🌱🔬. His publications in high-impact journals, along with his role as a reviewer for esteemed scientific outlets, solidify his reputation as a leading expert in forestry research 📖🌿. With expertise in ArcGIS, R, and SPSS, he bridges the gap between technology and environmental conservation 💻🍃. His dedication to sustainable forest management makes him an outstanding candidate for the Best Researcher Award 🏅👏.

Publication Profile

Google Scholar

Education

Dr. Saeid Shabani earned his Bachelor of Science in Forestry from the University of Guilan, Iran (2005) 🌲, where he developed a strong foundation in forest management and conservation. He pursued his Master of Science in Forestry at Tarbiat Modares University (2009) 📊, focusing on the relationship between forest gaps, physiographic factors, and vegetation in Lalis Forest, Nowshahr 🌳🗺️. He further advanced his expertise with a Ph.D. in Forestry from the same institution (2015) 🏗️, specializing in modeling soil and forest stand disturbance caused by logging operations 🏞️🔍. Dr. Shabani’s academic journey emphasizes sustainable forest ecosystem development, leveraging GIS, machine learning, and data-driven modeling 📈🌍. His interdisciplinary research bridges ecological conservation and technological advancements to enhance forestry management strategies 💡🌱.

Experience

Dr. Saeid Shabani has extensive experience in forestry research, specializing in forest monitoring, sustainable development, and climate impact assessments 🌍🌿. He has led and collaborated on multiple projects across the Hyrcanian and Arasbaran forests, focusing on afforestation, forest road monitoring, and carbon stock assessment 🏞️📊. His expertise in GIS, R, and machine learning has enabled him to develop predictive models for forest stand disturbances and susceptibility to environmental threats like snowstorms and windthrow 🌪️🛰️. As a scientific reviewer, he contributes to journals such as Scientific Reports, Turkish Journal of Forestry, and Ecology of Iranian Forests 📖📝. He has also been involved in standardizing forestry job competencies and ecosystem differentiation. His impactful work in forest conservation and ecosystem modeling positions him as a leading researcher in environmental sustainability and forestry science

Awards & Honors

Dr. Saeid Shabani has received multiple recognitions for his groundbreaking contributions to forestry research 🌿🏆. His work on forest sustainability, ecosystem monitoring, and climate resilience has earned him prestigious awards and funding. He was a recipient of the Chinese Government Scholarship 🎓🇨🇳 and has won Best Paper Awards for high-impact forestry research in journals like the European Journal of Forest Research 📜🏅. His expertise as a reviewer has been acknowledged with Reviewer Recognition Awards from Scientific Reports, South African Geographical Journal, and Journal of Forest Research & Development 🔍📖. He has secured project grants from environmental organizations for studies on afforestation, soil health, and carbon stock modeling 🌲💰. His Excellence in Forestry Research Award highlights his innovative use of GIS and machine learning in forest monitoring 🏗️🛰️. Through his dedication to sustainable forestry and advanced modeling techniques, he has cemented his reputation as an award-winning researcher in environmental science.

Research Focus

Dr. Saeid Shabani is a distinguished researcher specializing in forest monitoring, ecosystem sustainability, and climate impact assessment 🌲🌎. His expertise lies in applying GIS, machine learning, and statistical modeling to predict forest disturbances caused by natural hazards and human activities 🛰️📊. His research focuses on forest fragmentation and logging impact modeling 🏗️🌳, assessing the effects of snowstorms, windthrow, and climate change on forest ecosystems ❄️🌪️, and evaluating carbon stock in Hyrcanian and Arasbaran forests 🌱📈. Additionally, he contributes to afforestation efforts and sustainable forest management strategies 🌿♻️ while analyzing soil health and biodiversity conservation in forest stands 🔬🍂. Through cutting-edge methodologies, he develops innovative solutions to preserve global forest ecosystems and mitigate environmental risks 🌍💡. His work plays a vital role in policy-making and sustainable forestry development, ensuring the long-term health of natural resources.

Publication Top Notes

  • 📜 Spatial Prediction of Soil Disturbance Caused by Forest Logging Using Generalized Additive Models and GISEuropean Journal of Forest Research 🏗️🌲

  • 🌍 Forest Stand Susceptibility Mapping During Harvesting Using Logistic Regression and Boosted Regression Tree ModelsGlobal Ecology and Conservation 📊🛰️

  • 📏 Spatial Modeling of Forest Stand Susceptibility to Logging OperationsEnvironmental Impact Assessment Review 🏞️📉

  • ❄️ Modeling the Susceptibility of Uneven‑Aged Broad‑Leaved Forests to Snowstorm DamageEnvironmental Science and Pollution Research 🌨️🌲

  • 🌡️ How Do Different Land Uses/Covers Contribute to Land Surface Temperature and Albedo?Sustainability 🏡🌞

  • 🌱 Soil Health Reduction Following Conversion of Primary Vegetation Covers in Semi-Arid EnvironmentsScience of the Total Environment 🏜️🌾

  • 🗺️ Modeling and Mapping of Soil Damage Caused by Harvesting in Caspian Forests Using CART and RF TechniquesJournal of Forest Science 📈📊

  • 🌪️ Prediction of Windthrow Phenomenon in Deciduous Temperate Forests Using Logistic Regression & Random ForestCerne Journal 🌳💨

Saeed Rasekhi | Environmental Science | Best Researcher Award

Saeed Rasekhi | Environmental Science | Best Researcher Award

Mr Saeed Rasekhi, Universidad de Valladolid, Spain

Based on Mr. Saeed Rasekhi’s extensive and diverse achievements, he appears to be a strong candidate for the Best Researcher Award.

Publication profile

google scholar

Research Expertise and Publications

Mr. Rasekhi has demonstrated considerable expertise in multiple areas of research. His Ph.D. research at Universidad de Valladolid focuses on Atmospheric Physics, showcasing his depth in analyzing urban heat islands and pollution. His publications in reputable journals like Sustainable Cities and Society and Urban Climate Journal highlight his contributions to environmental science and urban climate studies. The topics he addresses, such as urban heat islands and air pollution trends, reflect his ability to conduct impactful research with real-world applications.

Skills and Technological Proficiency

He possesses a robust set of skills in programming and data analysis with proficiency in tools like Python, Matlab, and various machine learning frameworks (PyTorch, Keras). His expertise extends to mathematical modeling, which is crucial for understanding complex systems in physics and engineering. His experience in utilizing advanced simulation and analysis tools like Aspen and PROOSIS further underscores his technical capabilities.

Educational Background

His educational background is solid, with a Ph.D. in Applied Physics and previous degrees in Physics and Civil Engineering. This diverse academic foundation equips him with a broad perspective and the ability to integrate knowledge across disciplines.

Teaching and Research Experience

Mr. Rasekhi’s teaching experience includes courses in Project Management and Computational Physics, demonstrating his ability to convey complex concepts. His involvement in research projects, particularly those funded by the European Union, and his role as a research assistant at the University of Valladolid, highlight his active engagement in advancing scientific knowledge.

Certificates and Professional Development

He has earned several certificates in relevant areas such as Deep Learning, Machine Learning, and Google Analytics, showcasing his commitment to continuous learning and staying current with technological advancements.

Conference Participation

His participation in international conferences and workshops, such as ECAS 2023 and the 7th Meeting on Planetary Sciences, indicates his active involvement in the global research community and his dedication to disseminating his work and learning from peers.

Conclusion

Overall, Mr. Saeed Rasekhi’s comprehensive research experience, technical skills, educational background, and active participation in the scientific community position him as a highly deserving candidate for the Best Researcher Award. His ability to contribute to and advance knowledge in environmental science, data analysis, and machine learning aligns well with the criteria for this accolade.

Publication top notes

The London pollution island under Lamb weather types

Trend and the Cycle of Fluctuations and Statistical Distribution of Temperature of Berlin, Germany, in the Period 1995–2012

Assessing the Trends of Three Main Air Pollutants in Tehran City Using Data from Sentinel-5

 

 

Michel Mivumbi | Environmental Hypotheses | Best Researcher Award

Michel Mivumbi | Environmental Hypotheses | Best Researcher Award

Dr Michel Mivumbi, Xi’an Jiaotong University, China

Based on the comprehensive profile and accomplishments of Dr. Michel Mivumbi, he appears to be a strong candidate for the Research for Best Researcher Award.

Publication profile

Orcid

Extensive Experience

Over 8 years in practical fieldwork and coordination with both government and non-governmental organizations, specializing in education and community development.

Academic Background

A PhD candidate at Xi’an Jiaotong University and a Master’s degree in Community Economic Development from Open University of Tanzania.

Research Contributions

Published multiple papers in reputable journals on topics like environmental economics, ICT in education, and agricultural development. Notable publications include work on sustainable environments, economic growth, and the impact of foreign direct investment in agriculture.

Skills and Expertise

Proficient in qualitative and quantitative data analysis, with expertise in using tools like SPSS, EVIEW, and STATA. Multilingual in English, French, and Swahili.

Professional Roles

Experience as a scholar data analyst, project manager at USAID, and researcher at various institutions, showcasing a broad understanding of development and evaluation in different cultural contexts.

Certifications and Training

Participated in significant training programs related to financial and data analysis, as well as innovative practices in research.

Conclusion

Dr. Mivumbi’s diverse experience, strong academic credentials, and significant research outputs align well with the criteria for a Best Researcher Award, making him a suitable candidate for this recognition.

Publication top notes

Empirical linkages between ICT, tourism, and trade towards sustainable environment: evidence from BRICS countries

Influence of CSR and leadership style on sustainable performance: moderating impact of sustainable entrepreneurship and mediating role of organizational commitment

Moving a step closer towards environmental sustainability in Asian countries: focusing on real income, urbanization, transport infrastructure, and research and development

Environmental Pollution Nexus Economic Growth and Energy Consumption

Impact of FDI Inflow in Agriculture at Rural Development on Economic Growth, Rwanda