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)

Liming Ge | Environmental Science | Best Researcher Award

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Liming Ge | Environmental Science | Best Researcher Award

Assist. Prof. Dr Liming Ge, Shanghai Jiaotong University, China

Liming Ge is a dedicated PhD candidate at Shanghai University of Finance and Economics, following a Master’s from the University of Shanghai for Science and Technology, where he ranked first in his major with a GPA of 3.8/4.0. His research focuses on low carbon development, highlighted in papers published in prominent journals. Liming has earned several academic honors, including national scholarships and multiple prizes in competitions related to energy economics and mathematical modeling. He actively participated in a significant National Social Science Foundation project, utilizing advanced data analysis techniques. 🌱📊🎓

Publication profile

Scopus

Education

Pursuing excellence in academia, the individual completed a Master’s degree at the University of Shanghai for Science and Technology from September 2017 to July 2020, achieving a remarkable GPA of 3.8/4.0 and ranking first in their major. They received prestigious accolades, including the National Scholarship and the First-level Scholarship of the School. Currently a PhD candidate at Shanghai University of Finance and Economics (2020-2024), they maintain a GPA of 3.45/4.0 and were honored as an Outstanding Graduate of Shanghai and an Outstanding Student Leader at their previous university. 🎓🌟🏆

Honors

In 2021, He was honored with the Special Prize at the Seventh National College Students Competition on Energy Economics and secured the Third Prize at the Seventh National Academic Conference for Postgraduates in Economics. In 2019, He achieved the Third Prize in both the Fifth National College Students Competition on Energy Economics and the Ninth MathorCup College Mathematical Modeling Competition. My accolades also include the Second Prize at the Sixteenth “Challenge Cup” College Students Extracurricular Academic Technology Works Competition and the “SAIC Education Cup” in 2018. He received several Third Prizes in various mathematical modeling competitions, showcasing my dedication and talent in these fields! 🏆📊✨

Academic Conferences

In 2021, several notable academic events showcased emerging research in economics across China. The Third China Regional Economist Scholars Forum and the Third China Development Economics Preface Academic Symposium were held in Shanghai and Beijing, respectively, fostering discussions on regional and developmental economic issues. Additionally, the Third Jintai Young Scholars Forum and the Third China Energy Environment and Climate Change Economists Forum facilitated dialogues on industrial economics and environmental challenges. Other significant gatherings included the Seventh Annual Academic Conference of Graduate Students in Economics and the Green and Low Carbon Development Seminar. The Camphor Economics “Cloud Seminar” also contributed to this vibrant academic landscape. 📊🌍✨

Projects

In 2021, He participated in a Major Project of the National Social Science Foundation of China focused on promoting green development in energy supply and consumption. He contributed to the chapter on industrial cohesion effects and governance, utilizing Matlab, Stata, and ArcGIS for data analysis and empirical investigations. Additionally, He worked on the Humanities and Social Sciences Climbing Foundation project at the University of Shanghai, analyzing total factor energy productivity across Chinese cities. In 2018, Her helped compile a monograph on the sustainable development of resource-based cities, and in 2017, He wrote two papers for a project on smog control and economic transformation. 🌱📊✍️

Research focus

Based on the provided articles, Ge, L.’s research focuses on the intersection of environmental sustainability and economic development, particularly in urban contexts. Key themes include green technology innovation, the role of government governance in fostering sustainable cities, and the impact of foreign direct investment on environmental outcomes. Ge’s work examines how policy frameworks and corporate practices affect green initiatives, exploring aspects like tax incentives, corporate governance, and low-carbon development strategies. This multidisciplinary approach highlights the importance of integrating economic policies with environmental goals to promote sustainable urban transformations. 🌍💡📈

Publication top notes

The role of digital infrastructure construction on green city transformation: Does government governance matters?

The Impact of Foreign Direct Investment on Green Technology Innovation: Evidence from the Threshold Effect of Absorptive Capacity

Tax incentive and corporate hiring decisions: Evidence from China’s VAT credit refund policy

Minority shareholder protection, corporate governance, and investment efficiency

How do intellectual property demonstration cities contribute to low-carbon development? Evidence from China