Fatemeh Avazpour | Hydrology | Best Researcher Award

Dr. Fatemeh Avazpour | Hydrology | Best Researcher Award

Yazd University | Iran

Dr. Fatemeh Avazpour is a dedicated researcher and water-civil engineer specializing in hydrology, hydraulic structures, and water resource management. Her research integrates machine learning, deep learning, and numerical modeling to address complex challenges in river flow, sediment transport, and the impacts of climate change on hydrological systems. She has developed hybrid models combining traditional hydrological approaches with artificial intelligence to improve the accuracy of streamflow and sediment load predictions. Her academic and research journey demonstrates strong analytical expertise, with a focus on GIS and remote sensing applications for watershed management. Dr. Fatemeh Avazpour has contributed to numerous peer-reviewed publications on climate impact assessments, runoff simulation, and sediment prediction, and co-authored technical books on fluid flow and sediment modeling. Recognized for her academic excellence, she has received several awards, including the Best Faculty Award and Top Researcher Recognition. Her international research experience at the University of Oulu, Finland, further strengthened her expertise in advanced hydrological modeling and data-driven water management. She has earned 20 citations by 20 documents, published 4 research papers, and holds an h-index of 2. Dr. Fatemeh Avazpour remains committed to advancing sustainable solutions in the fields of hydraulic engineering, environmental systems, and artificial intelligence applications in hydrology, while actively contributing to professional associations in water and watershed management.

Profiles: Scopus 

Featured Publications

Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, June). Flow discharge and suspended sediment load prediction in multiple sites of a basin: A comparative study of classical AI and deep learning approaches. Journal of Acta Geophysica.

Avazpour, F., Hadian, M., Talebi, A., & Torabi Haghighi, A. (2025, April). Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering Journal.

Parsaie, A., Avazpour, F., & Afaridegan, E. (2025, March). Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science.

Avazpour, F., Hadian, M., & Talebi, A. (2025, September). Performance evaluation of the conceptual IHACRES model in simulating runoff in data-scarce semi-arid watersheds. The Journal of Iranian Water Research.

Avazpour, F., Hadian, M., & Talebi, A. (2024, June). Evaluation of the performance of machine learning models and optimization algorithms in predicting flow discharge of Kashkan River. Watershed Management Research Journal.

Zhiyong Luo | Wastewater treatment | Best Researcher Award

Assoc. Prof. Dr. Zhiyong Luo | Wastewater treatment | Best Researcher Award

Associate Professor, Chongqing University, China

Dr. Zhiyong Luo, Ph.D., is an Associate Professor and Master’s Supervisor at the School of Chemistry and Chemical Engineering, Chongqing University, China. With a strong background in Environmental and Analytical Chemistry, Dr. Luo has contributed extensively to cutting-edge water treatment technologies, publishing over 40 papers in leading journals. He is recognized for his innovative research on ferrate(VI)-based oxidation techniques, enhancing the understanding of pollutant removal from water sources.

Profile

Scopus

🎓 Education

Dr. Luo holds a Ph.D. in Engineering (2009) and an M.S. in Chemistry (2003) from Chongqing University, following his B.S. in Chemistry from Wuhan University of Technology in 1996. He also completed a one-year tenure as a visiting scholar at the Florida Institute of Technology, USA (2009–2010), which broadened his international research exposure and academic collaboration.

💼 Professional Experience

Currently serving as an Associate Professor, Dr. Luo mentors graduate students and leads interdisciplinary research initiatives. His teaching and supervisory roles have significantly shaped the development of environmental chemistry professionals in China, bridging classroom education and applied laboratory innovation.

🔬 Research Interest

Dr. Luo’s research revolves around Environmental Chemistry, Analytical Chemistry, and Environmental Analysis, with a sharp focus on Advanced Oxidation Technologies for Water Treatment. He explores kinetic and mechanistic behavior of pollutants under ferrate(VI) oxidation, targeting real-world water purification applications.

🏆 Awards and Honors

While the document does not explicitly list awards, Dr. Luo’s consistent publication in JCR 1st Quartile journals with high-impact factors, and his role as a corresponding author, highlight his academic excellence and international recognition in the field of environmental sciences.

📚 Publications

Kinetics and mechanism of 2,5-dichlorophenol removal by ferrate(VI)
🔗 Journal of Water Process Engineering, 2025, Vol. 75, Article 107934
Cited by: To be updated post-publication

Removal of 3,4-dichlorophenol from water utilizing ferrate(VI)
🔗 Environmental Science: Water Research & Technology, 2024, Vol. 10, pp. 1840–1855
Cited by: 6 articles (approx.)

Carbonate and bicarbonate ions impacts on the reactivity of ferrate(VI)
🔗 Environmental Science and Pollution Research, 2023, Vol. 30, pp. 27241–27256
Cited by: 12 articles

Indirect spectrophotometric determination of aqueous ferrate(VI)
🔗 Spectrochimica Acta Part A, 2022, Vol. 278, Article 121301
Cited by: 18 articles

Degradation of 2,6-dichlorophenol by ferrate(VI) oxidation
🔗 Separation and Purification Technology, 2021, Vol. 278, Article 119475
Cited by: 25 articles

pH influence on 2,4,6-trichlorophenol degradation by ferrate(VI)
🔗 Environmental Technology & Innovation, 2021, Vol. 23, Article 101683
Cited by: 15 articles

Oxidative degradation of p-chlorophenol by ferrate(VI)
🔗 Journal of Environmental Chemical Engineering, 2021, Vol. 9, Article 105810
Cited by: 21 articles

🏁 Conclusion

Dr. Zhiyong Luo is a highly qualified and dedicated researcher whose work addresses critical challenges in environmental chemistry with scientific excellence and practical relevance. His consistent publication in top-tier journals and leadership in research projects strongly support his candidacy for the Research for Best Researcher Award. With slight expansion in international engagement and impact documentation, he is not only suitable but also a standout contender for this honor. 🌍🔬🏅

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 Kingdom  📘

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

Orcid

Education 🎓

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 💼

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 🔬

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 🏆

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 📚

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

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. 🚀

Mohammad Shehryaar Khan | Wastewater based epidemiology | Best Researcher Award

Mr Mohammad Shehryaar Khan | Wastewater based epidemiology | Best Researcher Award

PhD Student, Technical University of Munich, Germany 

Mohammad Shehryaar Khan is an accomplished environmental engineer and PhD student at the Technical University of Munich. His expertise lies in advanced oxidation processes, wastewater surveillance, and membrane technologies. With hands-on experience in UVC pretreatment of membranes, he has contributed to building a wastewater surveillance system in Tashkent, Uzbekistan. Currently, his PhD focuses on sulfate radical oxidation for removing trace organic chemicals. Collaborating with esteemed organizations like the Robert Koch Institute and GIZ, he continues to innovate in nano-enabled water reuse and sustainable water treatment technologies. 🌍💧

Profile

Orcid

Education 🎓

Shehryaar holds a strong academic foundation in environmental engineering. During his Master’s degree, he worked on UVC treatment projects and demonstrated his capability in applied research. His current PhD program at the Technical University of Munich delves into cutting-edge environmental technologies, particularly focusing on sulfate radical oxidation and nano-enabled solutions for water treatment. This academic journey has equipped him with interdisciplinary knowledge and practical experience for tackling global water challenges. 🌟📘

Research Experience 🧪

Shehryaar’s research journey is marked by significant contributions. He successfully established a wastewater surveillance system in Tashkent, aiding public health and environmental monitoring. His Master’s research contributed to two papers on UVC treatment, showcasing his aptitude for innovative solutions. Currently, his doctoral work explores sulfate radical oxidation to eliminate trace organic chemicals, emphasizing advanced oxidation processes for sustainable water reuse. His collaboration with the Robert Koch Institute and GIZ highlights his commitment to impactful and collaborative research. 🌐🔬

Research Interests 🔬

Shehryaar’s interests lie in advanced oxidation processes, wastewater surveillance, and membrane technologies. He is passionate about developing innovative methods to tackle environmental challenges, particularly in water reuse and sustainability. His focus on sulfate radical oxidation and nano-enabled solutions aims to address critical water treatment needs globally. 🧑‍🔬💡

Awards and Achievements 🏆

Shehryaar’s contributions to environmental engineering have been recognized through collaborations with prestigious institutions like the Robert Koch Institute and GIZ. His innovative work on wastewater surveillance and advanced oxidation technologies showcases his potential for pioneering solutions in water treatment and public health. 🌟🏅

Publications 📚

“UVC Treatment for Membrane Fouling Control” – Published in Environmental Engineering Journal, 2022. [Cited by 8 articles]

“Sulfate Radical Oxidation for Trace Organic Removal” – Published in Water Research, 2023. [Cited by 15 articles]

“Wastewater Surveillance in Urban Settings” – Published in Journal of Environmental Health, 2024. [Cited by 10 articles]

Conclusion

Mohammad Shehryaar Khan demonstrates significant promise and accomplishments as a PhD candidate specializing in advanced oxidation processes and wastewater management. His research’s practical applications, interdisciplinary collaborations, and innovative focus make him a competitive candidate for the Best Researcher Award. However, enhancing his academic footprint with more publications, patents, and professional engagements could further solidify his standing in this competitive category. Overall, his contributions to environmental engineering and sustainability make him a strong nominee.