Radhia Souissi | Geochemistry | Research Excellence Award

Prof. Radhia Souissi | Geochemistry | Research Excellence Award

Prof. Radhia Souissi | Geochemistry | Institut National de Recherche et d’Analyse Physico-Chimique | Tunisia

Citation Metrics (Scopus)

600

400

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Citations
606
By 518 documents

Documents
46

h-index
14

Featured Publications:

Author(s). (2025). Characterization and distribution of microplastics on the beaches of Southern Tunisia: A case study of the Island of Djerba. Euro-Mediterranean Journal for Environmental Integration.
Citations: 1

Author(s). (2025). The geochemical characteristics of ore-forming fluids in the Jebel Stah fluorite deposit in Northeast Tunisia: Insights from LA-ICP-MS and Sr isotope analyses. Minerals.
Citations: 2

Author(s). (2025). Impacts of natural organic matter and dissolved solids on fluoride retention of polyelectrolyte multilayer-based hollow fiber nanofiltration membranes. Membranes.
Citations: 1

Author(s). (2025). Conservative behavior of 87Sr/86Sr isotope ratios from soil to olive oil in Tunisia: A tool for geographical traceability. Journal of Agricultural and Food Chemistry.
Citations: 2

Azadeh Kazemi | Environmental pollution | Best Researcher Award

Dr. Azadeh Kazemi | Environmental pollution | Best Researcher Award

Associate Professor, Arak university, Iran.

Dr. Azadeh Kazemi, Associate Professor at Arak University, Iran, is a renowned environmental scientist specializing in pollution monitoring, climate change impact assessment, and sustainable resource management. With over 20 years of academic and research experience, she has led pioneering projects on GIS-based environmental modeling, urban ecological planning, and microplastics pollution. 🌱🌍

Professional Profile

Google Scholar

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πŸŽ“ Education

Dr. Kazemi earned her Ph.D. in Environmental Planning from the University of Tehran (2009–2014), focusing on remote sensing applications for wetland eutrophication. She completed her M.Sc. in Remote Sensing & GIS from Shahid Beheshti University (2003–2007) and her B.Sc. in Natural Resource Engineering at the University of Tehran (1998–2002).

πŸ’Ό Experience

She currently serves as Head of the Department of Environmental Science and Engineering at Arak University, leading industrial research projects, supervising Ph.D. candidates, and teaching advanced GIS and environmental management courses. Her career spans roles as Assistant Professor, GIS analyst, and visiting professor at various Iranian universities.

πŸ”¬ Research Interests

Her research focuses on environmental pollution monitoring (air, water, and soil), climate change adaptation, geospatial modeling, and socio-ecological dynamics. She integrates GIS and machine learning to develop predictive environmental models, contributing to sustainable urban and natural resource management. 🌎

πŸ… Awards

Dr. Kazemi has been recognized as the Top Researcher in Industry and Society Outreach (2024), Best Professor of Arak University (2014), and recipient of a full Ph.D. scholarship from Iran’s Ministry of Science. She was also honored for the Selected Academic Project of Iran (2021–2022).

πŸ“š Top Noted Publications

Hydarian, M., Kazemi, A., et al. (2025). Applying Monte Carlo Simulation to Assess Health Risks of Potentially Toxic Elements in Fruits and Nuts Grown in the Capital of Iran. Food and Chemical Toxicology. πŸ”— Read

Mohammadpour, A., Abbasi, F., Shahsavani, E., & Kazemi, A. (2025). The Impact of Mining on the Ecosystem of Central Iran’s Wetland: A Probabilistic Approach to Assessing Ecological Risk. Environmental Technology & Innovation. πŸ”— Read

Kazemi, A., Cirella, G. T., et al. (2025). Temporal-spatial Distribution of Surface Urban Heat Island and Urban Pollution Island in an Industrial City: Seasonal Analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. πŸ”— Read

Conclusion

Dr. Azadeh Kazemi’s combination of applied environmental science, geospatial technology integration, health and ecological risk assessment, and academic leadership positions her as a compelling contender for the Research for Best Researcher Award. Her trajectory from nationally top-ranked student to department head engaged in industry and societal outreach demonstrates sustained excellence, innovation, and impact.

Richard Usang | Environmental Monitoring and Management | Best Researcher Award

Dr Richard Usang | Environmental Monitoring and Management | Best Researcher Award

Senior Data Scientist, Heineken UK, United KingdomΒ Β πŸ“˜

Dr. Richard Usang is a distinguished Chemistry expert and Data Scientist based in Southampton, United Kingdom. With a Ph.D. in Industrial & Environmental Chemistry and an MSc in Data Science, he has seamlessly integrated scientific research with advanced data analytics. His expertise spans industrial chemistry, environmental sustainability, artificial intelligence, and machine learning. Dr. Usang has a strong background in academic research, technical writing, and data-driven decision-making. His passion for innovation and problem-solving has led him to work on projects that bridge the gap between chemistry and AI, optimizing industrial processes and contributing to cutting-edge technological advancements.

Profile

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Education πŸŽ“

Dr. Usang holds an MSc in Data Science from the University of Sussex, United Kingdom, which he completed in September 2023. Prior to this, he earned a Ph.D. in Industrial & Environmental Chemistry from the University of Ibadan, Nigeria, in August 2021. His academic journey also includes an MSc in Industrial Chemistry, which he completed in November 2014, ranking in the top 1% of his class. His foundation in chemistry was established with a BSc in Chemistry from Benue State University, Nigeria, where he graduated as the top-ranking student in July 2011. His strong academic background reflects his commitment to excellence in scientific research and technological advancements.

Professional Experience πŸ’Ό

Dr. Usang currently serves as a Senior Data Scientist at Heineken UK, where he leads the development of Structural Equation Modelling frameworks to evaluate brand power and guide strategic marketing decisions. He has successfully implemented predictive models to optimize brewing parameters, reducing production variability and improving product quality. Previously, as a Lead Data Analyst at EMCOR UK, he significantly improved operational efficiency by reducing maintenance reporting time from three weeks to just four hours.

His tenure as a Data Scientist at The Heineken Company (2020–2022) saw him analyzing water chemistry across brewery sites, optimizing treatment processes, and reducing water treatment costs by 15%. He also developed forecasting models using machine learning, which led to a 10% reduction in overstock and a 5% increase in customer satisfaction. Prior to this, he worked as a Brewing Process Specialist at Heineken, overseeing production processes, training staff, and managing the installation of an anaerobic wastewater treatment plant in line with sustainability goals.

Dr. Usang’s academic career includes his role as a Research Assistant at the University of Ibadan, where he conducted extensive research on chemical processes and environmental impact. He contributed to multiple peer-reviewed publications and played a key role in mentoring undergraduate students in laboratory techniques and scientific analysis.

Research Interests πŸ”¬

Dr. Usang’s research interests lie at the intersection of chemistry, data science, and artificial intelligence. His expertise in Industrial and Environmental Chemistry drives his passion for sustainable solutions in manufacturing and waste management. He is highly skilled in machine learning, AI model evaluation, and natural language processing, which he applies to scientific data interpretation and optimization. His work in statistical and quantitative analysis supports his research in predictive modeling and AI-driven decision-making for industrial applications. His interdisciplinary approach ensures that his research contributes both to scientific knowledge and practical industrial solutions.

Awards and Recognitions πŸ†

Dr. Usang has earned numerous accolades throughout his academic and professional journey. He ranked first in his class during his BSc in Chemistry at Benue State University, a testament to his academic excellence. During his MSc in Industrial Chemistry at the University of Ibadan, he was among the top 1% of his cohort. His contributions to research and innovation have been recognized through international conferences and symposiums, where he has presented groundbreaking studies on chemical modifications and sustainability. His achievements in the corporate sector, particularly in data science applications in the brewing industry, further highlight his commitment to excellence and innovation.

Publications πŸ“š

Integrating Principal Component Analysis, Fuzzy Inference Systems, and Advanced Neural Networks for Enhanced Estuarine Water Quality Assessment (2025). Published in Journal of Hydrology: Regional Studies. Link

Effect of Chemical Modification on the Functional and Physicochemical Properties of Some Underutilized Starches. Presented at the 2nd International Conference on Scientific Research and Innovation, University of Ibadan, Nigeria.

Synthesis, Aqueous Solubility Studies, and Antifungal Activity Test of Some Tributyltin(IV) Carboxylates.

Conclusion βœ…

Dr. Richard Usang is a highly qualified candidate for the Best Researcher Award, bringing a unique blend of Chemistry and Data Science expertise. His contributions to industrial chemistry, environmental sustainability, and AI applications in research make him a strong contender. Strengthening his publication record and expanding academic leadership roles could further solidify his standing in the field. πŸš€

Pavel Kindlmann | Ecology | Best Researcher Award

Prof. Pavel Kindlmann | Ecology | Best Researcher Award

senior scientist, Biodiversity Conservation Center z.s., Czech Republic 🌟

Prof. RNDr. Pavel Kindlmann, DrSc. (b. November 29, 1954, in Prague, Czech Republic) is a distinguished Czech ecologist and researcher. He is affiliated with the Global Change Research Institute of the Czech Academy of Sciences, Brno. His career spans over four decades, with significant contributions to ecology, conservation biology, and mathematical modeling. He has served as a professor of ecology and held key leadership positions at prominent institutions. His work focuses on biodiversity, orchid ecology, and population dynamics, earning him recognition as a leading authority in his field. 🌍✨

Profile

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Education πŸŽ“

Prof. Kindlmann’s academic journey began at Charles University in Prague, where he earned his B.Sc. in Mathematics – Theoretical Cybernetics in 1979 and his M.Sc. in Mathematical Analysis (RNDr.) in 1982. He pursued a Ph.D. in Applied Mathematics at the Institute of Mathematics and Entomology, completing it in 1985. Furthering his expertise, he earned a DrSc. in Entomology in 1997 and became a full professor of ecology at the University of South Bohemia in 2001. πŸ“šπŸ”¬

Experience 🏫

Prof. Kindlmann has held numerous academic and research roles, including serving as Deputy Head of the Biomath Lab and later as Vice-Dean and Vice-Rector at the University of South Bohemia. Since 2001, he has been with the Global Change Research Institute in Brno, contributing to groundbreaking studies in biodiversity and landscape ecology. He is also affiliated with Charles University in Prague, enriching the field with his lectures and research. πŸ§‘β€πŸ«πŸŒΏ

Research Interests πŸ”

Prof. Kindlmann’s research spans nature protection, orchid ecology, insect pest dynamics, mathematical modeling, and landscape connectivity. He specializes in understanding population dynamics, life-history strategies, and biodiversity conservation. His passion for bridging theoretical and applied ecology has had a lasting impact on ecological research and policy. πŸŒ±πŸ“Š

Awards and Honors πŸ†

Prof. Kindlmann has received numerous accolades, including leading prestigious grants such as the Biodiversity Research Centre and AGRIPOPES. His work as a principal investigator in international collaborations has been recognized for its excellence and contributions to biodiversity research. πŸŒŸπŸ‘

Publications πŸ“–

Does Reproductive Success in Orchids Affect the Evolution of Their Number of Flowers?
Published in Plants, 2025-01-13. DOI: 10.3390/plants14020204.

Associations between Epiphytic Orchids and Their Hosts and Future Perspectives of These in the Context of Global Warming
Published in Diversity, 2024-04-22. DOI: 10.3390/d16040252.

Is the GBIF Appropriate for Use as Input in Models of Predicting Species Distributions? Study from the Czech Republic
Published in Nature Conservation Research, 2024. DOI: 10.24189/ncr.2024.008.

Difficulties in Determining Distribution of Population Sizes within Different Orchid Metapopulations
Published in European Journal of Environmental Sciences, 2023-12-17. DOI: 10.14712/23361964.2023.11.

Pollination Strategies of Deceptive Orchids – A Review
Published in European Journal of Environmental Sciences, 2023-12-17. DOI: 10.14712/23361964.2023.12.

The Distribution and Diversity of Orchids
Published in Diversity, 2023-06-27. DOI: 10.3390/d15070810.

Conclusion

Prof. Pavel Kindlmann is an outstanding candidate for the Best Researcher Award, given his extensive research contributions, international collaborations, and leadership roles in academia and ecological conservation. Addressing minor areas, such as expanding outreach and emphasizing recent high-impact outputs, could further elevate his already impressive profile.