saeid shabani | Environmental Science | Best Researcher Award

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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 GIS – European Journal of Forest Research 🏗️🌲

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

  • 📏 Spatial Modeling of Forest Stand Susceptibility to Logging Operations – Environmental Impact Assessment Review 🏞️📉

  • ❄️ Modeling the Susceptibility of Uneven‑Aged Broad‑Leaved Forests to Snowstorm Damage – Environmental 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 Environments – Science of the Total Environment 🏜️🌾

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

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

Minli Wang | Environmental Science | Best Researcher Award

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Minli Wang | Environmental Science | Best Researcher Award

Assoc. Prof. Dr minli Wang, Kunming University of Science and Technology, China

Assoc. Prof. Dr. Minli Wang is an esteemed scholar in environmental science and engineering, contributing significantly to atmospheric chemistry and water pollution control. With expertise in black carbon hygroscopicity, photochemical reactions, and environmental catalysis, her research has influenced pollution mitigation strategies. She has published in top-tier journals, secured competitive research grants, and played a pivotal role in advancing knowledge on environmental contaminants. As a dedicated academic at Kunming University of Science and Technology, Dr. Wang continues to make remarkable strides in environmental sustainability. Her dedication and research excellence make her a deserving recipient of the Best Researcher Award.

Publication Profile

Scopus

Education

Assoc. Prof. Dr. Minli Wang is a dedicated environmental scientist with a Ph.D. in Environmental Science & Engineering from Nanjing University (2015-2021) 🌿🔬. She earned her M.Sc. from Kunming University of Science and Technology (2012-2015) 🌎🧪 and her B.Sc. from Yunnan Normal University (2008-2012) in Agricultural Building Environment & Energy Engineering 🌾🏡. Her research focuses on pollution control, sustainable energy solutions, and environmental protection. With extensive expertise in tackling complex environmental challenges, Dr. Wang contributes significantly to advancing green technologies and sustainability. Her academic journey reflects a strong commitment to creating a cleaner and healthier planet. 📚🎓🌍

Experience

Assoc. Prof. Dr. Minli Wang is a dedicated researcher in environmental chemistry and atmospheric science 🌍⚛️. Since 2024, she has been an Associate Professor at Kunming University of Science and Technology 🏛️🔬, leading research on environmental pollutants and black carbon chemistry. Her work focuses on photochemical reactions and water pollutant degradation, contributing to sustainability efforts. As a project leader and participant in NSFC-funded projects 💰📑, she has investigated black carbon’s photochemical activity and antibiotic degradation mechanisms. With extensive academic and research experience, Dr. Wang continues to make significant advancements in environmental science, driving innovation for a cleaner future. 👩‍🔬💡

Awards & Honors

Assoc. Prof. Dr. Minli Wang is a distinguished researcher recognized for her contributions to environmental science and engineering. She received the China Patent Award for her innovative VOCs Photoreactor in 2021 🏅📜. As the Principal Investigator of the NSFC Young Scientist Grant (2023) 🎖️💡 and Yunnan Province Basic Research Project (2023) 🏆🔍, she leads groundbreaking studies in her field. Additionally, she participated in the NSFC Regional Science Fund (2023) 📊🔬. Her recognition at national and provincial levels highlights her impactful research, advancing sustainable solutions and cutting-edge technologies in air pollution control and environmental protection. 🌱🔬

Research Focus

Assoc. Prof. Dr. Minli Wang is an expert in black carbon’s environmental impact, atmospheric chemistry, and water pollution treatment. Her research explores black carbon’s hygroscopicity, analyzing its interactions with organic and inorganic components 🏭☁️. She investigates photochemical reactions to understand pollutant degradation under environmental conditions ☀️🧪. Additionally, she develops advanced catalytic materials for efficient wastewater treatment 💧⚛️. With an interdisciplinary approach, Dr. Wang enhances pollution control strategies, contributing to sustainable environmental solutions 🌱🔍. Her work plays a crucial role in mitigating environmental hazards and improving air and water quality for a healthier future.

Publication Top Notes

Gravimetric and spectroscopic analysis of hygroscopic properties of organic and inorganic components of three representative black carbon 🌿 Cited by: 24, Science of the Total Environment, 771: 145393

An investigation on hygroscopic properties of 15 black carbon (BC)-containing particles from different carbon sources: roles of organic and inorganic components 🌎 Cited by: 17, Atmospheric chemistry and physics, 20: 7941-7954

Comparing Photoactivities of Dissolved Organic Matter Released from Rice Straw-Pyrolyzed Biochar and Composted Rice Straw 🌱 Cited by: 12, Environmental Science & Technology, 56(4): 2803-2815

A review of the effects of environmental photochemical processes of black carbon: Mechanisms, challenges, and perspective 🌐 Cited by: 5, Process Safety and Environmental Protection, 106793: 106793

A bibliographic study reviewing the last decade of hydrochar in environmental application: history, status quo, and trending research paths 📚 Cited by: 8, Biochar, 5(1)

Bin Chen | Environmental Science | Best Researcher Award

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Bin Chen | Environmental Science | Best Researcher Award

Assist Prof Dr Bin Chen, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, China

Assist. Prof. Dr. Bin Chen appears highly suitable for the Best Researcher Award due to his significant contributions to the fields of climatology, ecology, and applied meteorology. Here are some key reasons

Publication profile

Scopus

Academic Background

Dr. Chen holds a Ph.D. in Climatology from McMaster University, a prestigious institution, and a Master’s in Ecology from the Chinese Academy of Sciences.

Research Output

He has published 22 SCI-indexed papers on photosynthesis simulation, 3 SCI papers on evapotranspiration, and 3 papers on soil hydrothermal processes, demonstrating a strong publication record in high-impact journals.

Work Experience

Dr. Chen has held research positions at top institutes like the Chinese Academy of Sciences and the University of Toronto, working on advanced simulation models for carbon and water cycles.

Technical Skills

His expertise includes high-performance computing, programming in C, Fortran, and MATLAB, and complex model simulations, showcasing a strong technical proficiency.

Honors and Awards

Dr. Chen has received multiple scholarships, including the First Class Scholarship at China Agricultural University and the Ph.D. Fellowship at McMaster University, affirming his academic excellence.

Publication top notes

More enhanced non-growing season methane exchanges under warming on the Qinghai-Tibetan Plateau

Widespread reduction in gross primary productivity caused by the compound heat and drought in Yangtze River Basin in 2022

Evaluation of Leaf-To-Canopy Upscaling Approaches for Simulating Canopy Carbonyl Sulfide Uptake and Gross Primary Productivity

Knowledge mapping on the sun-induced chlorophyll fluorescence technology research: a scientometric and visualization analysis

Integrating leaf functional traits improves modelled estimates of carbon and water fluxes at a subtropical evergreen conifer forest

Conclusion

His academic achievements, impactful publications, and technical expertise, Dr. Bin Chen is a strong candidate for the Best Researcher Award.

Claudia Diana Sabau Popa | Environmental Science | Best Researcher Award

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Claudia Diana Sabau Popa | Environmental Science | Best Researcher Award

Prof Dr Claudia Diana Sabau Popa, University Of Oradea, Romania

Prof. Dr. Claudia Diana Sabău-Popa is a distinguished academic at the University of Oradea, specializing in Finance. Since 2004, she has progressed from Junior Teaching Assistant to Ph.D. Supervisor, contributing significantly to the Doctoral School of Economic Sciences. She also serves on the supervisory board of the Romanian Counter-Guarantee Fund. As Vice Dean, she oversees academic and administrative management. Prof. Sabău-Popa is active in national professional associations like CECCAR, CAFR, CCF, and UNPIR. Her research includes numerous published articles and participation in conferences. 📚🎓📊💼.

Publication profile

google scholar

Education

Dr. Claudia Diana Sabău-Popa is a distinguished academic at the University of Oradea, specializing in finance and European economic relations. She holds a PhD in Finance from Babeş-Bolyai University, with a focus on community funds and the EU budget. She has numerous qualifications, including a habilitation from the Bucharest University of Economic Studies and various certificates in auditing, training, and entrepreneurial skills. Since 2016, she has held leadership roles within the university, actively contributing to the Faculty of Economic Sciences. Her expertise and dedication have made her a prominent figure in higher education management. 📚🌟💼

Experience

Dr. Claudia Diana Sabău-Popa is a distinguished Professor at the University of Oradea, specializing in Finance and Accounting since 2016. She supervises Ph.D. students, coordinates theses, and actively participates in research and conferences. As a member of the Romanian Counter-Guarantee Fund’s supervisory board, she oversees financial strategies and policies. Previously, she served as an Associate Professor (2013-2016) and University Lecturer (2009-2013). Her extensive teaching portfolio includes Capital Markets, EU Finances, and IFRS. Dr. Sabău-Popa is dedicated to advancing higher education and financial research in Romania. 🌟📚💼

Awards

On May 24, 2016, a distinguished Diploma for results in scientific research in the field of Finance (no. 8361/24.05.2016) was awarded by MENCS, University of Oradea. This recognition celebrates outstanding contributions and achievements in finance research. The recipient’s work, published in internationally recognized ISI specialist journals, has garnered significant acclaim and reflects a dedication to advancing knowledge in the field. This honor highlights the importance of rigorous scientific inquiry and the impact of quality research on the global academic community. 🏆📜🌍

Research focus

Prof. Dr. Claudia Diana Sabău-Popa’s research primarily focuses on financial performance evaluation, risk management, and market analysis. Her work utilizes advanced methodologies such as fuzzy AHP, TOPSIS, neural networks, and principal component analysis to assess and predict the financial health and performance of companies, especially in the Romanian market. Additionally, she explores the impact of macroeconomic variables on stock prices and consumer decisions within grey online social networks. Her interdisciplinary approach integrates economic, technological, and computational techniques to provide comprehensive insights into financial and market dynamics. 📊💻📉📈

Publication top notes

Performance evaluation model of Romanian manufacturing listed companies by fuzzy AHP and TOPSIS

Composite financial performance index prediction–a neural networks approach

Analyzing financial health of the SMES listed in the AERO market of Bucharest Stock Exchange using Principal Component Analysis

Consumers’ Decisions in grey online social networks

Developing an adaptive fuzzy controller for risk management of company cash flow

EFFECTS OF MACROECONOMIC VARIABLES ON STOCK PRICES OF THE BUCHAREST STOCK EXCHANGE (BSE).

Performance mapping in two-step cluster analysis through ESEG disclosures and EPS

Development of a fuzzy logic system to identify the risk of projects financed from structural funds

Using dashboards in business analysis

Influence of the capital structure on the company’s performance: Study of the energy sector companies listed on BSE