Research Excellence Award
Samson Balogun
University of Abuja, Nigeria
Samson Balogun is a researcher associated with the University of Abuja whose scholarly activities focus on water resources, wastewater treatment systems, environmental sustainability, and process optimization. His research portfolio includes studies on municipal wastewater treatment performance, machine learning applications, and biological treatment technologies that contribute to environmental management and water quality improvement.[1][2]
Abstract
This article presents an overview of Samson Balogun’s academic profile, emphasizing research activities in water resources and wastewater treatment. His published studies investigate effluent quality prediction, hydraulic retention processes, and sustainable treatment technologies. The research reflects practical environmental applications and contributes to scientific understanding of municipal wastewater management systems.[1][2]
Keywords
Water Resources, Wastewater Treatment, Environmental Engineering, Machine Learning, Effluent Quality, Activated Sludge, Municipal Wastewater, Sustainability, Water Quality Monitoring, Environmental Management
Introduction
Samson Balogun is a researcher affiliated with the University of Abuja, Nigeria, whose scholarly work focuses on water resources, wastewater treatment technologies, environmental sustainability, and process optimization. His research contributes to improving municipal wastewater management through innovative analytical and modelling approaches applicable to developing regions and urban water systems.[1]
Research Profile
Balogun’s academic profile demonstrates engagement in interdisciplinary environmental research, particularly in wastewater treatment performance assessment, machine learning applications, and biological treatment systems. His Scopus-indexed publications reflect interest in advancing sustainable water resource management through data-driven methodologies and practical solutions addressing environmental challenges in Nigeria.[1][2]
Research Contributions
His contributions include evaluating wastewater treatment efficiency, developing predictive models for effluent quality monitoring, and investigating operational parameters affecting biological treatment processes. These studies support evidence-based decision making for treatment plant optimization and provide insights that may improve environmental protection and regulatory compliance.[1][2]
Publications
Balogun’s publication record includes research on machine learning–based effluent quality modelling and studies examining hydraulic retention time in microalgae-based activated sludge systems. These publications address practical wastewater treatment concerns while contributing scientific knowledge relevant to environmental engineering and water resource management disciplines.[1][2]
- Machine learning–based modelling of effluent quality of Wupa municipal wastewater treatment plant, Abuja, Nigeria.
- The effect of hydraulic retention time on microalgae-based activated sludge process for Wupa sewage treatment plant, Nigeria.
Research Impact
The research outputs have contributed to understanding wastewater treatment performance and operational efficiency in municipal treatment facilities. Through analytical and predictive approaches, the studies support sustainable environmental management practices and encourage the integration of advanced technologies into water quality monitoring frameworks.[1][2]
Award Suitability
Balogun’s work aligns with the objectives of the International Plant Scientist Awards through its emphasis on environmental sustainability, resource conservation, and innovative scientific methodologies. His contributions to water resource management demonstrate interdisciplinary relevance and support broader ecological and sustainability goals recognized by international academic communities.[1][2]
Conclusion
Samson Balogun has established a developing research profile in water resources and wastewater treatment studies. His publications demonstrate commitment to addressing environmental challenges through scientific investigation, predictive modelling, and process optimization, contributing valuable knowledge to sustainable water management and environmental engineering research.[1][2]
External Link
References
- Balogun, S., et al. (2023). Machine learning–based modelling of effluent quality of Wupa municipal wastewater treatment plant, Abuja, Nigeria. Environmental Monitoring and Assessment.
https://www.researchgate.net/profile/Samson-Balogun-2
- Coliforms removal efficiency of Wupa wastewater treatment plant,Abuja,Nigeria.
https://scholar.google.com/citations?user=AnMke18AAAAJ&hl=en&oi=sra
- Elsevier. (n.d.). Scopus author details: Samson Balogun, Author ID 58170645200. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=58170645200