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)

Muhamad Safuan Shamshol Bahri | Environmental Hypotheses | Research Hypothesis Excellence Award

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Muhamad Safuan Shamshol Bahri | Environmental Hypotheses | Research Hypothesis Excellence Award

Mr Muhamad Safuan Shamshol Bahri, Malaysia Institute of Transport, MITRANS, Universiti Teknologi MARA, Shah Alam, Malaysia

Dr. Muhamad Safuan Shamshol Bahri is a distinguished researcher in transport and logistics, specializing in sustainable port operations 🌿⚓. Currently pursuing his PhD at Universiti Teknologi MARA (UiTM), he has made significant contributions to environmental sustainability in maritime logistics. His expertise lies in performance measurement, green port policies, and decision-making frameworks 📊🌍. A lecturer and former quality engineer, he has received multiple gold awards for his research on intelligent decision-making in ports 🥇🔬. As an active member of TAM and MSORSM, Dr. Bahri continues to shape the future of sustainable maritime operations through impactful research, innovation, and industry collaboration 🚢💡.

Publication Profile

Google Scholar

Education

Mr. Muhamad Safuan Shamshol Bahri is a dedicated researcher pursuing a Doctor of Philosophy (PhD) in Transport and Logistics at Universiti Teknologi MARA, Shah Alam (2022 – Present) 📚⚙️. He previously earned a Master of Science (MSc) in Logistics and Transportation from the same university (2021 – 2022) 🎓✅, graduating on time. His academic journey began with a Bachelor of Naval Architecture and Offshore Engineering (Hons.) from Universiti Teknologi Malaysia, Skudai (2015 – 2019) ⛵, where he achieved a commendable CGPA of 3.42/4.00. His expertise lies in maritime engineering, logistics, and transportation, contributing to advancements in these fields. 🚢📦

Experience

Mr. Muhamad Safuan Shamshol Bahri is an experienced educator and engineer with a strong background in maritime business, logistics, and quality management. As a Lecturer at Peninsula College (Northern) in Georgetown (2021-2022) 📖, he taught maritime business and logistics management 🚢, designed curricula, and guided student projects 📚. Previously, he worked as a Quality Engineer at JTEKT Automotive Malaysia Sdn Bhd (2019-2021) 🏭, ensuring product compliance with customer specifications 📋. His role involved conducting root cause failure analysis ⚙️, implementing preventive measures, and managing inspection reports and quality documentation ✅. His expertise bridges both academia and industry, contributing to innovation and excellence.

Awards & Honors

Mr. Muhamad Safuan Shamshol Bahri has demonstrated excellence in maritime logistics and sustainable port innovation through multiple prestigious awards. He earned the Gold Award for An Ingenious Priority Determination for Sustainable Port (AI_DSP) at IBMVIC 2024 🏅 and the Bronze Medal for the same project at IIDEX 2024 🥉. His expertise was further recognized with two Gold Awards 🥇 for An Intelligent MCDM Performance Measurement for Maritime Logistics (IMPerMAL) at VMIIE 2022 and the 4th Virtual International Breakthrough IID Exhibition 2022. His contributions continue to enhance decision-making and performance measurement in the maritime industry. 🚢⚓

Research Interest

Muhamad Safuan Shamshol Bahri is a dedicated researcher specializing in Management Science and Operations Research, with a focus on performance measurement and Data Envelopment Analysis (DEA) 📊📈. His expertise extends to Multicriteria Decision Making (MCDM), where he applies advanced analytical methods to optimize decision-making processes 🤖⚙️. With a strong academic and research background, he contributes to the development of innovative frameworks that enhance efficiency and effectiveness in various industries 🏢💡. His work plays a crucial role in improving decision support systems, ensuring that organizations can achieve optimal performance through data-driven strategies 📉✅.

Research Focus

Dr. Muhamad Safuan Shamshol Bahri’s research focuses on environmental sustainability in port operations ⚓🌱. He specializes in green port performance measurement, developing MCDM-based decision-making models, and integrating sustainable practices in logistics 📊🔍. His work also explores regulatory frameworks and governance for eco-friendly port operations, utilizing methodologies like Data Envelopment Analysis (DEA) and Intuitionistic Fuzzy AHP 🌍📈. Through his studies, he contributes to optimizing operational efficiency while minimizing environmental impact, advancing sustainability in maritime logistics 🌊💡.

Publication Top Notes

A tri-level AHP approach for port logistics personnel performance evaluation

Comparative analysis on decision criteria for port personnel using hybrid Analytical Hierarchy Process (H-AHP)

Evaluating cost-efficient queue priorities for berth allocation via simulation

Comparative Analysis On Port Personnel Selection Using Hybrid Analytical Hierarchy Process (h-AHP)

Use of Monte Carlo simulation for hybrid multicriteria decision making approaches

Sustainable port operations and environmental initiatives in Malaysia: A focus on environmental sustainability

Evaluating Priorities of Environmentally Sustainable Port Performance Using an Intuitionistic Fuzzy Analytical Hierarchy Process Approach

A Hybrid Multicriteria Decision-Making Model for Environmentally Sustainable Port

 

 

 

 

Zeyang Wei | Environmental Science | Best Researcher Award

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Zeyang Wei | Environmental Science | Best Researcher Award

Dr Zeyang Wei, Tsinghua University, China

Dr. Zeyang Wei 🎓🌱 is a Ph.D. candidate at Tsinghua University’s School of Environment (2020-2025), specializing in environmental impact assessment, agent-based modeling, and environmental zoning management. He holds a Bachelor’s degree from Renmin University of China in Agricultural Economics & Rural Development 🌍📊. His research explores industrial restructuring, pollution reduction, and carbon mitigation, with publications in top journals. He has presented at international conferences 🌏🎤 and serves as a teaching assistant. Recognized with the Tsinghua University Comprehensive Scholarship 🏆, he contributes significantly to environmental science through modeling and policy analysis. 📑🔬

Publication Profile

Scopus

Education

Dr. Zeyang Wei 🎓 is a Ph.D. candidate at Tsinghua University, Beijing (2020-2025), specializing in environmental impact assessment, agent-based modeling for industries, and environmental zoning management 🌍📊. Under the guidance of Prof. Yi Liu, he explores sustainable industrial strategies. He earned his bachelor’s degree from Renmin University of China (2016-2020) in Agricultural Economics & Rural Development 🌾📈. His undergraduate thesis focused on the environmental and economic assessment of industrial investment transfer from Beijing to the BTH region. Passionate about sustainable development, Dr. Wei integrates economic and environmental perspectives to drive impactful research for a greener future 🌱🏭.

Experience

Dr. Zeyang Wei has led multiple research projects focusing on environmental noise, computing, and pollution control 🌱📊. From October 2020 to June 2021, he analyzed community responses to environmental noise, applying statistical analysis 📉. In mid-2021, he explored environmental computing, summarizing its development and applications 🖥️📄. Between December 2021 and June 2023, he researched pollution reduction and carbon mitigation strategies across industries 🌍⚡. His Ph.D. thesis (2021–present) involves developing an agent-based model to assess industrial firms’ environmental impacts under integrated zoning policies 🏭🔬. His expertise spans industry analysis, research methodology, and academic writing ✍️📚.

Research Focus

Z. Wei’s research focuses on environmental regulation 🌍📜, industrial restructuring 🏭🔄, and computational environmental science 💻🌱. Their work explores the effectiveness of China’s integrated environmental zoning in reshaping industries, agent-based modeling for environmental studies, and the evolution of environmental computing. They also examine how emission permit regulations impact local industries and how social noise perception influences mitigation behavior. By integrating policy analysis, computational modeling, and environmental impact assessment, Wei contributes to sustainable development and environmental management. Their interdisciplinary approach bridges environmental science, industrial policy, and digital innovation for greener and more efficient industries. 🔬📊🌏

Presentation

Dr. Zeyang Wei’s research focuses on environmental economics 🌍📊, particularly the impact of discharge permits on the economic and emission performance of industrial firms 🏭💰. Using an agent-based modeling approach 🤖📈, his work explores how regulatory policies influence pollution control and sustainable industrial development. By integrating economic analysis with environmental assessment, he aims to optimize strategies for balancing economic growth and environmental responsibility ⚖️🌱. His findings provide insights for policy-makers and industry leaders to enhance eco-friendly practices while maintaining profitability. His expertise lies at the intersection of industrial sustainability, environmental policy, and economic modeling 🔬📉.

Achievements & Academic Service

Dr. Zeyang Wei is affiliated with the Faculty of Resources and Environmental Science at Hubei University in Wuhan, China. His research focuses on remote sensing and image analysis, particularly in areas such as attribute profiles, convolutional neural networks (CNNs), and crop classification. His work aims to enhance the accuracy of image classification and improve the understanding of crop characteristics through advanced image processing techniques.

Publication Top Notes

Does the China’s integrated environmental zoning regulation serve an effective approach for industrial restructuring?

Conclusion

Dr. Zeyang Wei is a distinguished researcher known for his excellence in academia, pioneering innovative modeling techniques, and making significant contributions to his field 🏆📊. His groundbreaking research has advanced knowledge and inspired new methodologies in scientific studies 🔬📖. With a strong commitment to innovation and academic excellence, Dr. Wei has consistently demonstrated a remarkable ability to solve complex problems and push the boundaries of research 🚀💡. His dedication and outstanding achievements make him an ideal candidate for the Best Researcher Award 🏅👏. His work continues to influence and shape the future of research and development. 🌍🔍

 

Qinyu Ge | Environmental Hypotheses | Best Researcher Award

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Qinyu Ge | Environmental Hypotheses | Best Researcher Award

Prof Qinyu Ge, Southeast University, China

Prof. Qinyu Ge 🎓🔬 earned his Ph.D. in Biomedical Engineering from Southeast University in 2006. As a dedicated researcher at Southeast University, his work focuses on sample treatment and library preparation for high-throughput DNA sequencing 🧬, including spatial transcriptomics and whole-genome methylation studies. His expertise extends to designing DNA microarrays for cell-free nucleic acid, methylation, and DNA polymorphism detection 🧪. Prof. Ge has published extensively on topics like environmental DNA integrity, non-invasive embryo biomarkers, single-cell analysis, and deep learning in genomics 🤖📊, contributing significantly to biomedical research advancements globally 🌍.

Publication Profile

Scopus

Education

Prof. Qinyu Ge 🎓 is a distinguished scholar who earned his Ph.D. in Biomedical Engineering from Southeast University in 2006 🏫. Since then, he has devoted his academic career to the same institution, making remarkable contributions to biomedical research 🔬. His work has advanced the field through innovative studies and impactful publications 📚. Prof. Ge’s dedication to scientific excellence and education has played a key role in shaping the future of biomedical engineering 🌟. His commitment to research and mentoring young scholars continues to inspire the next generation of scientists 👩‍🔬👨‍🔬.

Research Interests

Prof. Qinyu Ge’s research focuses on innovative techniques in sample treatment and library preparation for high-throughput DNA sequencing. His work explores key areas such as spatial transcriptomics, providing insights into gene expression within tissue architecture 🧬, whole genome methylation studies to understand epigenetic modifications 🧪, and advanced DNA microarray design for precise genetic analysis 🔬. Through his contributions, Prof. Ge aims to enhance the accuracy and efficiency of genomic technologies, supporting breakthroughs in biomedical research and personalized medicine 🌍. His expertise continues to drive advancements in the rapidly evolving field of genomics and molecular biology.

Applications

Prof. Qinyu Ge is a leading expert in genomic technologies, making significant strides in cell-free nucleic acid analysis, methylation detection, and DNA polymorphism studies. 🧬🔬 His pioneering research has been instrumental in enhancing the accuracy and efficiency of genetic diagnostics, contributing to early disease detection and personalized medicine. 💡🧫 Through innovative approaches, Prof. Ge’s work bridges the gap between molecular biology and clinical applications, driving advancements in genomics and biotechnology. 🚀🌍 His dedication to scientific excellence continues to inspire breakthroughs, shaping the future of genetic research and healthcare. 📊🧪

Research Focus

Prof. Qinyu Ge’s research focuses on molecular biology, genomics, and bioinformatics 🧬🧪. His work explores transcriptomic analysis, environmental DNA (eDNA) applications, and non-invasive biomarkers for medical diagnostics 🧫🔬. He contributes to single-cell data analysis, DNA data storage, and the use of deep learning in predicting transcription factor binding sites 🤖📊. His studies cover areas like embryo selection, prostate cell typing, and neuroscience, including links to Parkinson’s disease 🧠🧍. By integrating advanced sequencing techniques with AI-based models, Prof. Ge enhances our understanding of gene expression, disease mechanisms, and biological data analysis. 🌍📈

Publication Top Notes

Acquisition and transcriptomic analysis of tissue micro-regions using a capillary-based method

Environmental DNA integrity index is sensitive for species biomass estimation in freshwater

The biological characteristics of long cell-free DNA in spent embryos culture medium as noninvasive biomarker in in-vitro embryo selection

Performance analysis of markers for prostate cell typing in single-cell data

Advances and Challenges in Random Access Techniques for In Vitro DNA Data Storage

Spatial transcriptomic profiling of isolated microregions in tissue sections utilizing laser-induced forward transfer

Transcriptome Study of rd1Mouse Brain and Association with Parkinson’s Disease

Effect of Different Staining Methods on Brain Cryosections

Prediction of Transcription Factor Binding Sites on Cell-Free DNA Based on Deep Learning

Deep-Cloud: A Deep Neural Network-Based Approach for Analyzing Differentially Expressed Genes of RNA-seq Data

 

Ana Maria Antão-Geraldes | Environmental Hypotheses | Best Researcher Award

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Ana Maria Antão-Geraldes | Environmental Hypotheses | Best Researcher Award

Prof Dr Ana Maria Antão-Geraldes, IPB/CIMO, Portugal

Based on the extensive academic background and professional accomplishments, Prof. Dr. Ana Maria Antão-Geraldes is a strong candidate for the Research for Best Researcher Award.

Publication profile

Orcid

Academic Background

Prof. Dr. Ana Maria Antão-Geraldes holds a Ph.D. in Biology (Ecology/Biosystematics) from the University of Lisbon (2004), a Master’s in Animal Diversity Conservation (1996), and a Bachelor’s in Biology – Faunistic Resources and Environment (1991). She has also completed various postgraduate courses in relevant fields, demonstrating a commitment to continuous learning.

Scientific Publications

Prof. Dr. Ana Maria Antão-Geraldes has contributed significantly to scientific literature, with multiple articles published in indexed journals. Her work spans topics such as sustainability, freshwater ecology, and water conservation, with notable publications in prominent journals like Sustainability and Applied Sciences.

Technical Publications and Contributions

She has authored and co-authored several technical publications, contributing to environmental impact assessments and regional planning in Portugal. Her involvement in technical assessments for national projects further showcases her expertise in ecological studies.

Moderation of Scientific Events

Prof. Dr. Ana Maria Antão-Geraldes has moderated numerous scientific events, including conferences and panel discussions on biodiversity, resource crises, and sustainable development. Her active participation in these events highlights her leadership and expertise in the field.

Editorial Contributions

She is a member of the editorial board of Gaia Scientia and has served as a topic editor for Applied Sciences. Her role as a guest editor for special issues on water conservation and freshwater ecology further emphasizes her impact on the scientific community.

Scientific Article Review

Prof. Dr. Ana Maria Antão-Geraldes has reviewed articles for several prestigious journals, including Applied Sciences, Frontiers in Environmental Science, and Sustainability. Her involvement in the peer-review process reflects her deep understanding and influence in her field.

Participation in Contracted or Protocol Actions

Her research involvement in various contracted projects, including ecological characterization surveys and water management protocols, demonstrates her applied research capabilities and collaboration with industry and government bodies.

Teaching Experience

With over 26 years of teaching experience, Prof. Dr. Ana Maria Antão-Geraldes has taught 33 different curricular units, ranging from plant physiology to environmental biology. Her extensive teaching portfolio indicates her dedication to educating the next generation of scientists.

In conclusion, Prof. Dr. Ana Maria Antão-Geraldes’ comprehensive academic background, prolific research output, significant editorial roles, and extensive teaching experience make her a highly deserving candidate for the Research for Best Researcher Award.

Publication top notes

Towards Sustainable Water Use in Two University Student Residences: A Case Study

Technical and Financial Feasibility Analysis of Rainwater Harvesting Using Conventional or Green Roofs in an Industrial Building

Plastic debris in lakes and reservoirs

Influence of Green Roofs on the Design of a Public Stormwater Drainage System: A Case Study

Promoting Water Efficiency in a Municipal Market Building: A Case Study

Frontiers in Freshwater Ecology, Conservation and Water Treatment Technologies