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. 🚀

Mahdi Jalili Ghazizade | Waste Management | Best Researcher Award

Assoc. Prof. Dr. Mahdi Jalili Ghazizade | Waste Management | Best Researcher Award

Associate Professor, Department of Environmental Technologies, Environmental Sciences Research Institute, Shahid Beheshti University, Iran 🌟

Dr. Mahdi Jalili Ghazizade, Ph.D., is an Associate Professor at the Department of Environmental Technologies, Environmental Sciences Research Institute, Shahid Beheshti University, Tehran, Iran. With extensive expertise in environmental engineering, his work focuses on waste management, landfill design, environmental impact assessment, and pollution control. His dedication to academia and consulting has positioned him as a prominent figure in environmental sciences.

Profile

Google Scholar

Education 🎓

Dr. Jalili Ghazizade completed his Ph.D. in Environmental Engineering at the University of Tehran (2007–2012), where his dissertation earned an excellent degree. He holds an M.Sc. in Civil-Environmental Engineering from the same university and a B.Sc. in Civil Engineering from the University of Semnan. His academic journey showcases consistent excellence, reflected in his numerous honors and awards.

Experience 💼

Dr. Jalili Ghazizade serves as a faculty member at Shahid Beheshti University (2014–present). His extensive professional experience includes project management and technical advisory roles for leading consulting firms in Iran. Notably, he was a guest researcher at the University of Massachusetts, Amherst, and has consulted for global organizations, emphasizing environmental technologies and sustainable solutions.

Research Interests 🔬

Dr. Jalili Ghazizade’s research interests include landfill design, environmental pollutants control, solid waste management, and advanced environmental technologies. He specializes in analyzing the hydraulic performance of compacted clay liners and modeling waste generation using innovative techniques like neural networks and PCA.

Awards 🏆

Dr. Jalili Ghazizade has received numerous accolades, including the Presidential Award for Excellence in Environmental Engineering and recognition as the first-grade graduate during his Ph.D. at the University of Tehran. His awards reflect his dedication and contributions to environmental sciences.

Publications 📚

Comparison of neural network and principal component-regression analysis to predict solid waste generation in Tehran (Iranian Journal of Public Health, 2009): Link (Cited by: 91).

Rural solid waste management (International Journal of Environmental Research, 2008): Link (Cited by: 69).

Environmental impact assessment of municipal solid waste disposal site in Tabriz, Iran using rapid impact assessment matrix (Impact Assessment and Project Appraisal, 2014): Link (Cited by: 43).

Variation of crack intensity factor in three compacted clay liners exposed to atmospheric conditions (Waste Management, 2014): Link (Cited by: 32).

Analysis of desiccation crack depth in three compacted clay liners (Journal of Geotechnical and Geoenvironmental Engineering, 2017): Link (Cited by: 24).

Anaerobic removal of COD from high-strength fresh and stabilized leachates (International Journal of Environmental Research, 2011): Link (Cited by: 24).

Conclusion

Dr. Mahdi Jalili Ghazizade is a highly suitable candidate for the Best Researcher Award due to his extensive contributions to environmental engineering and sustainability. His exceptional academic achievements, impactful research, and professional experience position him as a leader in his field. By diversifying his research and increasing international collaborations, he could further amplify his influence on global environmental challenges. Overall, his dedication to advancing waste management and pollution control makes him a standout contender for this prestigious recognition.