Samson Balogun | Water resources | Research Excellence Award

Published on by Plant Scientist

Research Excellence Award

Samson Balogun
Researcher Samson Balogun
Affiliation University of Abuja
Country Nigeria
Scopus ID 58170645200
Documents 4
Citations 17
h-index 2
Subject Area Water Resources
Event International Plant Scientist Awards
Google Scholar AnMke18AAAAJ

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]

References

  1. 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
  2. Coliforms removal efficiency of Wupa wastewater treatment plant,Abuja,Nigeria.
    https://scholar.google.com/citations?user=AnMke18AAAAJ&hl=en&oi=sra
  3. Elsevier. (n.d.). Scopus author details: Samson Balogun, Author ID 58170645200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58170645200

Gurpreet Singh | Precision Agriculture | Best Paper Award

Published on by Plant Scientist

Mr. Gurpreet Singh | Precision Agriculture | Best Paper Award

Guru Nanak Dev University | India

Author Profile

Orcid ID

Google Scholar

Early Academic Pursuits

Gurpreet Singh’s academic journey began with a foundational focus on computer engineering and information technology. He completed his high school in 2003 from St. Bawra Public High School, Ludhiana, with a commendable aggregate. His passion for computing led him to pursue a Diploma in Computer Engineering from L.L.R.M. Polytechnic, Ajitwal, affiliated with PSBTE Chandigarh. Further, he earned a B.Tech in Information Technology from DAV Institute of Engineering and Technology. He continued his specialization with an M.Tech in Computer Engineering from University College of Engineering, Punjabi University, Patiala. Currently, he is pursuing a Ph.D. in Computer Engineering and Technology at Guru Nanak Dev University, Amritsar, with his research work already submitted.

Professional Endeavors

Gurpreet Singh’s professional trajectory showcases an integration of academic rigor and technical involvement. He has guided multiple postgraduate dissertations, supervised research projects, and actively contributed to academic conferences and seminars. His work primarily centers around the fields of wireless sensor networks, mobile agent systems, VANETs, and IoT technologies. He has participated in national-level NSS camps and actively involved himself in blood donation and technical workshops, indicating both community engagement and technical commitment.

Contributions and Research Focus

With a clear research emphasis on Wireless Sensor Networks (WSNs), Mobile Ad-hoc Networks (MANETs), Internet of Things (IoT), and mobile agent systems, Gurpreet Singh has authored 37 publications including numerous peer-reviewed conference papers and journal articles. His M.Tech thesis involved the performance evaluation of routing protocols in WSNs, laying a foundation for his future research. He has addressed fault tolerance, mobility, energy efficiency, and security in networked systems. He has also co-authored research focused on fuzzy-based clustering algorithms, simulation tools, and smart agriculture applications involving UAVs and IoT integration.

Impact and Influence

Gurpreet Singh’s influence is evident through his consistent academic contributions and mentorship. He has supervised more than six postgraduate dissertations, with two ongoing as of 2023. His research has been featured in several prestigious national and international conferences such as IEEE, Elsevier-sponsored events, and conferences held at institutions like NIT Hamirpur, JNU Delhi, and Amity University. His focus on applied networking protocols and simulation-based studies has provided practical insights into modern communication systems.

Academic Citations

Although specific citation metrics such as h-index or citation count were not listed, Gurpreet Singh’s involvement in IEEE Xplore and Elsevier indexed publications reflects a growing academic presence. His recent works, including a study on VANET mobility models and UAV applications in agriculture, highlight topics of current relevance and are likely to gain traction in the research community.

Technical Skills

Gurpreet Singh is proficient in several programming languages including C, C++, Python, and Java. His technical toolkit includes web technologies such as HTML, DHTML, and JavaScript, as well as design and multimedia tools like Photoshop and Flash. Notably, he has hands-on experience with networking and simulation tools including Packet Tracer, Qualnet, Netsim, NS2/NS3, and OMNET++, which support his research in network systems and communication technologies. Additionally, he possesses practical knowledge of CCNA concepts, data structures, and machine learning using Python.

Teaching Experience

As part of his academic engagement, Gurpreet Singh has been actively involved in postgraduate student supervision and project mentoring. His teaching interests align with his research expertise, allowing him to integrate practical simulation and real-world applications into the curriculum. He has guided numerous M.Tech dissertations at Guru Nanak Dev University, and his mentorship has covered diverse topics such as mobile agent security, VANET routing, and energy-aware protocols.

Legacy and Future Contributions

Gurpreet Singh’s academic and technical foundation positions him well for long-term contributions in the field of computer networks and IoT-driven applications. With his doctoral work nearing completion, he is expected to further expand his research portfolio through publications, collaborative projects, and possibly patent filings. His work on simulation environments and real-time communication systems could play a significant role in the evolution of smart infrastructure and mobile computing. His focus on next-generation networks, energy-efficient systems, and secure communication models also align with global research trends and sustainable technology development.

Publications

Revolutionizing cloud-IoT and UAV-assisted framework to analyze soil for cultivation in agricultural landscapes
  • Authors: Gurpreet Singh; Sandeep Sharma
    Journal: Proceedings of the Indian National Science Academy
    Year: 2025
Learning Strategies for Promoting Cybersecurity Awareness among Students: A Brief Review
  • Authors: Kumari Sarita; Kashish; Pritpal Singh; Gurpreet Singh; Satinder Kaur
    Journal: International Journal For Multidisciplinary Research
    Year: 2025
 Optimizing early diagnosis by integrating multiple classifiers for predicting brain stroke and critical diseases
  • Authors: Ravnoor Singh; Satinder Kaur; Gurpreet Singh; Mehakdeep Kaur; Parminder Kaur
    Journal: Scientific Reports
    Year: 2024
A comprehensive review on the Internet of Things in precision agriculture
  • Authors: Gurpreet Singh; Sandeep Sharma
    Journal: Multimedia Tools and Applications
    Year: 2024