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.

KeynesmΓ©nio Neto | Environmental Science | Best Researcher Award

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KeynesmΓ©nio Neto | Environmental Science | Best Researcher Award

Assist Prof Dr KeynesmΓ©nio Neto, University of SΓ£o TomΓ© and PrΓ­ncipe, Sao Tome and Principe

Publication profile

google scholar

Educational Background

Assist Prof Dr. KeynesmΓ©nio Neto is currently pursuing a Doctorate in Geological Resources and Environment at the University of Coimbra, focusing on the “Geological Heritage of SΓ£o TomΓ© and PrΓ­ncipe.” He holds a Master’s degree in Geosciences with a specialization in Petroleum Geology, where he explored the “NanofΓ³sseis calcΓ‘rios” of Portugal.

Professional Experience

Dr. Neto has been a researcher at the University of Coimbra since 2010 and has served as an Invited Assistant at various institutions, including the Public University of SΓ£o TomΓ© and PrΓ­ncipe. He has extensive teaching experience and has played a significant role in educational and research projects.

Research Contributions

His work includes notable publications such as “Geoheritage at the Equator: Selected Geosites of SΓ£o TomΓ© Island,” and “Geoconservation in Africa: State of the Art and Future Challenges,” highlighting his expertise in geoheritage and sustainable practices. He actively contributes to scientific committees and international conferences, further demonstrating his commitment to advancing environmental education.

Distinctions and Grants

Dr. Neto received grants to support oral presentations for young researchers and has been recognized for his contributions to the field, exemplifying his influence on future generations.

Publication top notes

Geoheritage at the equator: selected geosites of SΓ£o TomΓ© island (Cameron line, Central Africa)

Geoconservation in Africa: State of the art and future challenges

Nanofosseis calcarios da passagem Aaleniano-Bajociano do perfil do Cabo Mondego-Portugal (GSSP do Bajociano)

Geoheritage at the Equator: Revisiting Selected Geosites of SΓ£o TomΓ© Island (Cameron Line, Central Africa)

Day 1; Stop 1A–Cabo Mondego North

geoheritage at the equator: selected geosites of SΓ£o TomΓ© Island (Cameron Line, Central Africa). Sustainability 7: 648–667

Geoheritage of the PrΓ­ncipe UNESCO World Biosphere Reserve (West Africa): Selected Geosites

A Geo-Itinerary to Foster Sustainable Tourism in West African Islands: Storytelling the Evolution of the Ancient Cameroon Volcanic Line Coral Reefs

Os geo-itinerÑrios como meio de divulgação do património geológico de São Tomé e Príncipe

Conclusion

Given his academic qualifications, extensive research contributions, teaching experience, and active participation in scientific discourse, Assist Prof Dr. KeynesmΓ©nio Neto is highly suitable for the Best Researcher Award. His dedication to geological heritage and education positions him as a leading figure in his field. πŸŒπŸ“šπŸ†

 

Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

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Masoud Mahdianpari | Environmental Science | Research Hypothesis Excellence Award

Dr Masoud Mahdianpari, Memorial University of Newfoundland/C-CORE, Canada

Based on the provided information, Dr. Masoud Mahdianpari is indeed a strong candidate for the Research for Research Hypothesis Excellence Award. His extensive educational background, professional experience, and contributions to the field of remote sensing and data science highlight his qualifications.

Publication profile

google scholar

Educational Background

Dr. Masoud Mahdianpari holds a Ph.D. in Electrical Engineering from Memorial University of Newfoundland (2015-2019), along with a Master’s in Remote Sensing Engineering and a Bachelor’s in Geomatics Engineering, both from the University of Tehran (2010-2013, 2006-2010). His robust academic foundation has equipped him with advanced knowledge in remote sensing and data analysis.

Professional Experience

Currently serving as a Cross-appointed Professor at Memorial University of Newfoundland and Remote Sensing Technical Lead at C-CORE, Ottawa, Dr. Mahdianpari has significant experience in applying machine learning and remote sensing technologies. His previous roles include Remote Sensing Scientist and Research Assistant at C-CORE, where he has developed expertise in image processing, feature extraction, and target detection.

Research Expertise

Dr. Mahdianpari specializes in machine learning, big data technologies, and radar remote sensing. His work encompasses high-resolution image processing, environmental monitoring, and GHG emission estimation. He is leading several projects focused on wetland mapping and methane emission estimation in the Arctic, leveraging advanced remote sensing data and cloud computing platforms.

Professional Appointments

As an associate editor for various journals, including IEEE Geoscience and Remote Sensing Letters and Frontiers in Environmental Science, Dr. Mahdianpari contributes to the academic community and promotes high-quality research. He is a member of several professional societies, such as IEEE and ASPRS, demonstrating his active engagement in the field.

Recent Honors and Awards

Dr. Mahdianpari has been recognized for his contributions to science, including being ranked in the top 1% of scientists worldwide (2023-2024) and receiving multiple awards for his research excellence. Notably, he has secured grants such as the NSERC Discovery Grant (2022-2027) and the Microsoft AI for Earth grant, highlighting his innovative work in environmental monitoring.

Project Leadership

Dr. Mahdianpari is currently leading the ESA Carbon Science Cluster project, aiming to enhance methane emission estimates from wetlands in the Arctic. This project underscores his leadership in addressing critical environmental challenges and advancing remote sensing methodologies.

Research Interests

His research focuses on environmental monitoring and wetland mapping using remote sensing data, emphasizing machine learning and multi-sensor image classification. Currently, he leads projects related to greenhouse gas (GHG) monitoring, showcasing his commitment to addressing pressing environmental issues.

Project Experience

He currently leads a project for the European Space Agency focused on improving methane emission estimates from wetlands, an initiative of significant environmental importance. This role emphasizes his leadership in research that impacts global environmental policies.

Publications and Presentations

Dr. Mahdianpari has authored numerous influential publications, including studies on remote sensing image classification and advanced machine learning applications in environmental monitoring. His research has contributed significantly to the field, evidenced by his citations and presentations at major international conferences.

Conference Contributions

He has presented at several prestigious conferences, showcasing his research on water quality monitoring and electrical potential preservation. His publications in leading journals further establish his reputation as a thought leader in remote sensing and environmental science.

Conclusion

In summary, Dr. Masoud Mahdianpari’s outstanding qualifications, research contributions, and recognition in the field make him a highly suitable candidate for the Research for Research Hypothesis Excellence Award. His dedication to advancing remote sensing technology and addressing pressing environmental issues through innovative research exemplifies excellence in academic and applied research.

Publication top notes

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review

Support vector machine versus random forest for remote sensing image classification: A meta-analysis and systematic review

Very deep convolutional neural networks for complex land cover mapping using multispectral remote sensing imagery

Random forest wetland classification using ALOS-2 L-band, RADARSAT-2 C-band, and TerraSAR-X imagery

The first wetland inventory map of newfoundland at a spatial resolution of 10 m using sentinel-1 and sentinel-2 data on the google earth engine cloud computing platform

Deep convolutional neural network for complex wetland classification using optical remote sensing imagery

A new fully convolutional neural network for semantic segmentation of polarimetric SAR imagery in complex land cover ecosystem

Comparing deep learning and shallow learning for large-scale wetland classification in Alberta, Canada

A systematic review of landsat data for change detection applications: 50 years of monitoring the earth

Bagging and boosting ensemble classifiers for classification of multispectral, hyperspectral and PolSAR data: a comparative evaluation

 

Stefania Gheorghe | Environmental Science | Best Researcher Award

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Stefania Gheorghe | Environmental Science | Best Researcher Award

Dr Stefania Gheorghe, INCD ECOIND BUCHAREST, Romania

Based on Dr. Stefania Gheorghe’s extensive experience and achievements, here is an evaluation for the Best Researcher Award:

Publication profile

Orcid

Professional Experience

Dr. Stefania Gheorghe has a distinguished career in environmental research and ecotoxicology, with her current role as a Scientific Researcher grade I at the National Research and Development Institute for Industrial Ecology – ECOIND, Bucharest. Her career progression from Research Assistant to her current position reflects her deepening expertise and leadership in the field. Notably, she has held roles such as Laboratory Quality and Environmental Manager, Head of the Timisoara branch, and SR EN ISO/IEC 17025:2018 internal auditor, showcasing her extensive experience in both research and management.

Research Contributions

Dr. Gheorghe’s research focuses on ecotoxicology, including biodegradability, acute and chronic aquatic toxicology, and risk assessment of various chemicals. Her work involves evaluating the environmental impact of substances like pesticides, pharmaceuticals, and heavy metals using OECD/ISO methodologies. She has also been involved in significant research projects, including toxicity studies, bioaccumulation, and ecological risk assessments.

Publications and Achievements

Dr. Gheorghe has contributed to several high-impact publications, including articles in reputable journals such as Heliyon and Water. Her research on topics such as microplastics in freshwater systems and the impact of the COVID-19 pandemic on environmental contamination reflects her commitment to addressing pressing environmental issues. Her work is well-regarded in the scientific community, as evidenced by her authorship in multiple ISI papers and participation in international symposia.

Skills and Expertise

Dr. Gheorghe possesses a robust skill set in chemistry, molecular biology, and environmental science. Her expertise includes conducting laboratory tests for diverse chemical products, consulting on chemical safety, and managing national and international research projects. Her proficiency in designing experimental work and drafting technical documentation further underscores her capability as a leading researcher.

Education and Training

Dr. Gheorghe holds a Ph.D. in Biology with a focus on ecotoxicology from the University of Bucharest. Her academic background is complemented by a Master’s in Biochemistry and Molecular Biology and a Bachelor’s in Chemistry, providing a solid foundation for her extensive research career.

Conclusion

Dr. Stefania Gheorghe’s comprehensive experience, significant research contributions, and strong publication record make her a highly suitable candidate for the Best Researcher Award. Her work in environmental research and her leadership in ecotoxicology demonstrate her exceptional impact on the field.

Publication top notes

COVID-19 Pandemic Modulates the Environmental Contamination Level of Enteric Bacteria from WWTPs

Ecotoxicological Effects of Polystyrene Particles on Cyprinus carpio: A Laboratory Assessment

COVID-19 Pandemic Modulates the Environmental Contamination Level with Enteric Bacteria from WWTPs

The COVID-19 Pandemic Impact of Hospital Wastewater on Aquatic Systems in Bucharest

Laboratory Assessment for Determining Microplastics in Freshwater Systemsβ€”Characterization and Identification along the Somesul Mic River

Adsorption of Sunscreen Compounds from Wastewater Using Commercial Activated Carbon: Detailed Kinetic and Thermodynamic Analyses

Tissue Bioconcentration Pattern and Biotransformation of Per-Fluorooctanoic Acid (PFOA) in Cyprinus carpio (European Carp)β€”An Extensive In Vivo Study

 

 

Saeed Rasekhi | Environmental Science | Best Researcher Award

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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

 

 

Masoumeh Najibzadeh | Environmental Science | Best Researcher Award

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Masoumeh Najibzadeh | Environmental Science | Best Researcher Award

Assist Prof Dr Masoumeh Najibzadeh, Arak University, Iran

Based on Dr. Masoumeh Najibzadeh’s impressive qualifications, research, and contributions, she appears to be a strong candidate for a Best Researcher Award. Here’s an analysis of why she might be suitable for this award:

Publication profile

google scholar

Extensive Research Expertise

Dr. Najibzadeh has a profound specialization in animal systematics, particularly focusing on the taxonomy, ecology, and conservation genetics of amphibians. Her work on the brown frogs of Iran and her investigations into hybridization and genome evolution highlight her in-depth knowledge and expertise in her field. πŸŒΏπŸ”¬

Significant Publications

Her publication record demonstrates a strong impact in her area of study, including high-quality articles in notable journals. Her research on species’ ranges, population declines, and novel methods for detecting frog populations underscores her contribution to advancing her field. πŸ“šπŸ¦Ž

Diverse Teaching Experience

Dr. Najibzadeh teaches a range of courses, including Conservation Biology, Toxicology, and Herpetology. This breadth of teaching experience indicates her commitment to educating the next generation of scientists and contributing to her academic community. πŸŽ“πŸ“–

Conference Presentations

Her participation in major conferences, including the IUBS General Assembly and Iranian Biology Conferences, showcases her engagement with the broader scientific community and her role in sharing knowledge and advancing research discussions. πŸŒπŸ—£οΈ

Innovative Research Approaches

Collaboration with other researchers, as evidenced by her joint publications and conference presentations, highlights her ability to work effectively within research teams, further enriching her contributions to science. πŸ€πŸ”

Dr. Najibzadeh’s comprehensive research, extensive publications, effective teaching, and active involvement in scientific discourse make her a commendable candidate for the Best Researcher Award. Her work not only advances our understanding of amphibians but also contributes to broader ecological and conservation efforts.

Publication top notes

The first taxonomic revaluation of the Iranian water frogs of the genusΒ PelophylaxΒ (Anura: Ranidae) using sequences of the mitochondrial genome

Molecular phylogenetic relationships among Anatolian-Hyrcanian brown frog taxa (Ranidae: Rana)

Habitat suitability and patterns of sex-biased migration of the Iranian long-legged wood frog,Β Rana pseudodalmatinaΒ (Anura: Ranidae)

Genetic Structure of the Hyrcanian Wood Frog,Β Rana pseudodalmatinaΒ (Amphibia: Ranidae) Using mtDNA Gene Sequences

Habitat suitability for the Caucasian frogΒ Rana macrocnemisΒ Boulenger, 1885 (Amphibia:Anura: Ranidae)

Feeding biology and food composition in Pelophylax ridibundus (Pallas 1771) in the Iranian plateau.

An investigation on the reproductive biology of Rana macrocnemis pseudodalmatina (Amphibians: Anura) in Golestan province (Minudasht)

Taxonomic survey of water frog populations ofΒ Pelophylax bedriagaeΒ (Anura: Ranidae) in western Iran: a morphometric and bioacoustic approach

Unequal sisters–Past and potential future range development of Anatolian and Hyrcanian brown frogs

Comparison of habitat, Mating Behavior and laying of three species of Anuran Amphibians (Rana (Pelophylax) ridibunda, Hyla savignyi and Bufo (Pseudepidalea) variabilis) in the …

 

Weichao Wang | Environmental Science | Best Researcher Award

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Weichao Wang | Environmental Science | Best Researcher Award

Mr Weichao Wang, Southwest Forestry University, China

Weichao Wang is a dedicated researcher at Southwest Forestry University, with a focus on ecological studies and environmental science. 🌿 He is a key participant in multiple significant projects, including the National Natural Science Foundation of China-funded research on microalgae diversity and wetland meadow plant stability. πŸ§ͺ He has contributed to notable publications, such as studies on alpine vegetation responses and Orchidaceae diversity in Yunnan. 🌸 Weichao has been honored with the Second Place Graduate Student Academic Scholarship for two consecutive years (2022-2023, 2023-2024). πŸ† His work significantly advances our understanding of ecological stoichiometry and environmental heterogeneity. πŸŒπŸ“š

Publication profile

Orcid

Education

I earned the Second Place Graduate Student Academic Scholarship at Southwest Forestry University for both the 2022-2023 and 2023-2024 academic years πŸ“šπŸ₯ˆ. My research includes projects on chemosensory effects of alpine meadow plants, environmental heterogeneity’s impact on microalgae, trampling disturbances on wetland meadow plants, and ecological stoichiometry of coffee leaves and soils in Yunnan Province. Notable publications feature studies on alpine vegetation responses, orchid diversity, and water quality in Dianchi Wetland Park πŸŒΏπŸŒΈπŸ’§.

Experience

I earned the Second Place Graduate Student Academic Scholarship at Southwest Forestry University for both the 2022-2023 and 2023-2024 academic years πŸ“šπŸ₯ˆ. My research includes projects on chemosensory effects of alpine meadow plants, environmental heterogeneity’s impact on microalgae, trampling disturbances on wetland meadow plants, and ecological stoichiometry of coffee leaves and soils in Yunnan Province. Notable publications feature studies on alpine vegetation responses, orchid diversity, and water quality in Dianchi Wetland Park πŸŒΏπŸŒΈπŸ’§.

Awards

πŸŽ“ In November 2022, the user earned the Second Place Graduate Student Academic Scholarship at Southwest Forestry University for the 2022-2023 academic year, recognizing their academic excellence and dedication. πŸ“šβœ¨ Their commitment to scholarly pursuits was further acknowledged in November 2023, when they received the same prestigious scholarship for the 2023-2024 academic year. πŸŽ‰πŸ† These accolades highlight their consistent performance and determination in their academic journey, showcasing their capability and promise as a graduate student at Southwest Forestry University. πŸŒŸπŸ”

Research focus

Weichao Wang’s research focuses on the ecological dynamics of alpine vegetation, specifically investigating how different species impact ecosystem responses. Their work, highlighted in the study “Short-Term Responses of Alpine Vegetation to the Removal of Dominant Versus Sparse Species,” explores the effects of removing dominant and sparse species on plant communities. This research is crucial for understanding biodiversity conservation, ecosystem stability, and the impacts of climate change on fragile alpine environments. πŸŒΏπŸ—»πŸ”¬πŸ“Š

Publication top notes

Short-Term Responses of Alpine Vegetation to the Removal of Dominant Versus Sparse Species

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 SabΔƒu-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. SabΔƒu-Popa is active in national professional associations like CECCAR, CAFR, CCF, and UNPIR. Her research includes numerous published articles and participation in conferences. πŸ“šπŸŽ“πŸ“ŠπŸ’Ό.

Publication profile

google scholar

Education

Dr. Claudia Diana SabΔƒu-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. πŸ“šπŸŒŸπŸ’Ό

Experience

Dr. Claudia Diana SabΔƒu-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. SabΔƒu-Popa is dedicated to advancing higher education and financial research in Romania. πŸŒŸπŸ“šπŸ’Ό

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. πŸ†πŸ“œπŸŒ

Research focus

Prof. Dr. Claudia Diana SabΔƒu-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. πŸ“ŠπŸ’»πŸ“‰πŸ“ˆ

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

Abbas Ranjbar Saadatabadi | Environmental Science | Best Researcher Award

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Abbas Ranjbar Saadatabadi | Environmental Science | Best Researcher Award

Dr Abbas Ranjbar Saadatabadi, Atmospheric Science & Meteorological Research, ASMERC, Iran

Dr. Abbas Ranjbar Saadatabadi is an accomplished meteorologist with a B.Sc. in Applied Physics from the University of Shahid Bahonar, an M.Sc. in Meteorology from Geophysics Institute in Tehran, and a Ph.D. in Meteorology from Islamic Azad University. He serves as Director of ASMERC, Tehran, and has held several key roles in atmospheric science research. His expertise spans atmospheric circulations, forecasting, and applied physics. Dr. Ranjbar is an active member of numerous professional associations and has significantly contributed to flood forecasting, extreme weather event analysis, and dust storm research in Iran. πŸŒ¦οΈπŸ“šπŸŒ

Publication profile

Scopus

Education

πŸŽ“ With a solid foundation in Applied Physics from the University of Shahid Bahonar, Kerman, Iran (1988-1993), πŸŽ“ followed by a Master’s in Meteorology from the Geophysics Institute, Tehran, Iran (1994-1997), 🌦️ the scholar pursued a Ph.D. in Meteorology at the Islamic Azad University, Science and Research Branch, Tehran, Iran (1999-2003). πŸŒͺ️ This extensive educational background has equipped them with in-depth knowledge and expertise in the field of meteorology, contributing significantly to their professional and academic pursuits. πŸ“šβœ¨

Experience

🌦️ Since 2015, the Director of the Atmospheric Science and Meteorological Research Center (ASMERC) in Tehran, Iran, has led advancements in meteorological research. Previously, from 2013 to 2015, they served as the Deputy Director of ASMERC, and from 2012 to 2013, as a faculty member. They directed the National Drought Warning and Monitoring Center (NDWMC) from 2011 to 2012 and served as Deputy Director from 2010 to 2011. Between 2005 and 2010, they were the Deputy Director of the National Weather Forecasting Center. Additionally, they headed the Department of Satellite Meteorology and New Technologies at IRIMO from 2004 to 2005 and worked as a forecaster from 1999 to 2004. β˜οΈπŸ›°οΈ

Membership of Professional Associations

πŸ“πŸŒ National Commission of UNESCO- National Committee of Man and the Biosphere, Associate Member (2012-current). πŸ›οΈπŸ”¬ Research Committee of Yazd, Kerman, and Sistan-o-Balochestan provinces (2013-2015). πŸŒπŸ”¬ Committee of Science and Technology Exchange in the Union of Countries bordering the Indian Ocean (2013-current). πŸ—žοΈπŸŒ¦οΈ Editorial Board Member, Journal of Climate Research (2015-current) and Journal of Nivar (IRIMO) (2010-current). πŸŒͺ️🌧️ Associate Member, Secondary Professional Work Group of Atmospheric Disasters and Storm (2015). 🌩️🌑️ Associate Member, Research Council of the Atmospheric Science and Meteorological Research Centre (2014-current). 🌊🌎 Scientific Secretary, 3rd International Conference of the Persian Gulf Oceanography (2015). πŸŒŠπŸ”¬ Vice Chairman, Iranian Marine Science and Technology Association (2019).

Project Involvement

πŸŒŠβ›‘οΈ Designed and operated a flood forecasting and warning system in Tehran (2018-2020). πŸŒ§οΈπŸ“ˆ Studied heavy rainfall forecasting in Ilam province (2019). πŸŒ¦οΈπŸ’» Developed a Meteorological and Hydrology Forecast Software System in Qom (2016-2017). πŸŒ©οΈπŸ“Š Evaluated extreme weather events using regional climate models in Iran (2016-2017). πŸŒ§οΈπŸ™οΈ Investigated precipitation causes of Qazvin urban floods (2016). 🌧️🌊 Analyzed atmospheric patterns for heavy rainfalls over Bushehr (2015). πŸŒ¬οΈπŸ“‰ Developed a wind atlas over Iran using numerical atmospheric models (2015). πŸŒͺοΈπŸ“‰ Evaluated the EURAD dust storm forecast model (2016). πŸŒͺοΈπŸŒ€ Studied atmospheric patterns for dust storms over Isfahan (2013). πŸŒͺοΈπŸ’¨ Designed an integrated system for air pollution and dust forecasting (2013). πŸŒͺ️🌊 Assessed SWAN and MIKE21 model outputs with buoy data in Bushehr (2015). πŸŒͺοΈπŸŒ€ Modeled dust storm trajectories over Kerman with WRF-Chem (2015). πŸŒͺ️❄️ Studied dust storm mechanisms and trajectories over Lorestan (2015).

Research focus

Dr. Ranjbar Saadatabadi’s research primarily focuses on atmospheric and environmental sciences, particularly in the context of Iran. His work includes studying climatic variations, synoptic and dynamic analysis of extreme weather events, dust transport modeling, and the impacts of ENSO on the Middle East’s climate. He utilizes advanced techniques like remote sensing, machine learning, and numerical models to analyze phenomena such as heavy rainfall, flash floods, and dust storms. His research aims to understand and mitigate the impacts of environmental changes and extreme weather on the region. πŸŒ¦οΈπŸ“ŠπŸŒπŸ“‰πŸ’¨

Publication top notes

A comprehensive investigation of the causes of drying and increasing saline dust in the Urmia Lake, northwest Iran, via ground and satellite observations, synoptic analysis and machine learning models

Estimating Particulate Matter Using Remote Sensing Data and Meteorological Variables Over Ahvaz, Iran

Synoptic and dynamic analysis of a flash flood-inducing heavy rainfall event in arid and semi-arid central-northern Iran and its simulation using the WRF model

The Impact of ENSO Phase Transition on the Atmospheric Circulation, Precipitation and Temperature in the Middle East Autumn

Intercomparisons of some dust models over West Asia

A finite-volume numerical model for the simulation of dust transport in the atmosphere

Assessment of climate variations in temperature and precipitation extreme events over Iran

Synoptic and thermodynamic characteristics of 30 March–2 April 2009 heavy rainfall event in Iran

The omega blocking condition and extreme rainfall in Northwestern Iran during 25 – 28 October 2008

Relationships between Arab sea and Indian Ocean surface temperature anomalies with precipitation over southern of Iran