Doctorate Olanireti Oni: PhD. Graduate at Cyprus International University, Turkey
Dr. Olanireti Olasehinde Oni is an Environmental Scientist with a Ph.D. from Cyprus International University, where he specializes in applying Artificial Intelligence (AI) to environmental research. His expertise spans a range of fields, from predictive modeling and environmental informatics to pollution monitoring and ecosystem assessment. With an interdisciplinary approach, Dr. Oni integrates machine learning techniques into environmental data analysis, particularly for time-series and numerical datasets. Over the years, he has developed a passion for using computational methods to solve pressing environmental challenges, and is committed to advancing the field by contributing to projects that bridge environmental science and emerging technologies. He is currently seeking research-focused roles in institutes that emphasize computational solutions for environmental sustainability.
Online Profiles
Dr. Oni maintains an active presence in the academic and professional community. He is a peer reviewer for multiple high-impact journals including AI, Life, Data, Sensors, and Applied System Innovation, all published by MDPI. Through these platforms, he contributes to the advancement of knowledge in the intersection of AI and environmental sciences. Additionally, Dr. Oni shares his academic work and research findings on platforms like LinkedIn, GitHub, and ResearchGate, where his research on AI applications in environmental science is readily accessible. His professional network continues to grow as he engages with fellow researchers, policymakers, and industry experts, contributing his insights to broader conversations on sustainability, data science, and environmental preservation.
Education
Dr. Oni’s academic background is marked by a strong foundation in geosciences and a progressive focus on environmental science and technology. He is currently pursuing a Ph.D. in Environmental Science at Cyprus International University (2017-2025), with a focus on integrating AI into environmental research. Before this, Dr. Oni obtained an MSc. in Petroleum Geology and Sedimentology from the University of Ibadan (2012-2014), where he gained a deeper understanding of petroleum exploration, sedimentary processes, and geological formations. His journey began with a BSc. in Geology and Mineral Sciences from the University of Ilorin, Ilorin (2006-2010), where he developed a strong analytical foundation in earth sciences. His educational experiences have shaped his interdisciplinary approach to environmental issues, combining traditional geology with modern AI techniques to find innovative solutions.
Research Focus
Dr. Oni’s research focuses on the convergence of Artificial Intelligence and environmental science. Specifically, his work aims to address key global challenges such as climate change, environmental degradation, pollution monitoring, and ecosystem health. By applying machine learning algorithms—ranging from supervised and unsupervised learning to deep learning and recommendation systems—he analyzes large-scale environmental datasets to predict and mitigate environmental risks. His research also explores how AI can improve environmental decision-making processes, whether in assessing the impact of climate change on ecosystems or predicting air and water pollution levels. Furthermore, Dr. Oni is dedicated to ensuring that his research has practical applications, including using AI for real-time monitoring and management of environmental hazards.
Experience
Dr. Oni’s professional journey spans multiple roles that combine technical expertise with project management responsibilities. As a Geotechnician/Petroleum Geologist at Albean Integrated Services Limited (2011-2017), he led a number of high-profile projects in petroleum exploration, mining, and civil engineering. His primary tasks included conducting geological surveys, performing stability studies for slopes and fills, and developing geotechnical data acquisition plans. He also worked on evaluating ore deposits, calculating ore reserves, and designing mine layouts. Beyond fieldwork, Dr. Oni utilized his data analysis skills to implement quality control measures, resulting in improved safety and efficiency in drilling operations. His experience also extends to computer applications in geophysics and petroleum geology, where he developed software solutions for geological data processing and analysis. His diverse background provides him with a unique perspective on how geotechnical and environmental issues can be addressed through AI-based technologies.
Research Timeline
Dr. Oni’s research timeline reflects an evolving interest in the intersection of computational methods and environmental science. His early academic work involved geotechnical and geological studies, laying the groundwork for his subsequent exploration of machine learning and AI. Since starting his Ph.D. in 2017, he has shifted his focus toward developing AI-based models for environmental data analysis. Key milestones in his research include the creation of predictive models for climate science, the application of machine learning to monitor and mitigate pollution, and the development of algorithms for assessing ecosystem health. Dr. Oni’s ongoing Ph.D. work involves refining these methodologies and applying them to real-world environmental challenges. Throughout this journey, he has collaborated with international researchers and participated in interdisciplinary research initiatives that emphasize the role of AI in advancing environmental sustainability.
Awards & Honors
Dr. Oni’s contributions to environmental science and AI have been widely recognized. His work has earned him invitations to review for prestigious academic journals, which is a testament to the high regard in which his research is held by the scientific community. Additionally, Dr. Oni has been awarded research grants and fellowships, enabling him to pursue projects at the cutting edge of AI and environmental science. His leadership in interdisciplinary research teams has been instrumental in the success of several collaborative projects. Furthermore, Dr. Oni’s innovative work has been acknowledged in various academic conferences, where he has presented his findings and engaged in discussions on the future of AI in environmental research. His ongoing contributions to the scientific community continue to influence both academic and practical approaches to environmental challenges.
Top-Noted Publication
Dr. Oni’s notable publication, “Ultrasound and Ultraviolet Activated Persulfate Oxidation for the Removal of Paracetamol from Water,” published in Water, Air, and Soil Pollution (2025), demonstrates his ability to integrate environmental science with cutting-edge technology. In this study, he explores novel methods for removing pharmaceutical contaminants from water, focusing on the use of advanced oxidation processes activated by ultrasound and ultraviolet light. This research has significant implications for water treatment and pollution control, offering a potential solution to pharmaceutical contamination—a growing environmental concern. The publication has already garnered attention for its innovative approach to addressing emerging contaminants in aquatic environments, and is expected to influence future research and policy in water quality management.
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Ultrasound and Ultraviolet Activated Persulfate Oxidation for the Removal of Paracetamol from Water
O.O. Oni, Ş. Doğan, Water, Air, & Soil Pollution, 236(8), 508, 2025
This research presents an innovative method for removing pharmaceutical contaminants, specifically paracetamol, from water using ultrasound and ultraviolet-activated persulfate oxidation. The study has significant implications for water treatment processes and environmental pollution control, especially in addressing emerging contaminants in aquatic systems. -
Lithostratigraphy and Palynofacies Appraisal of the Northern Depobelt Onshore, Niger Delta
O.A. Boboye, Journal of Science Research, 15(1), 11-11, 2016
This publication focuses on the lithostratigraphic and palynofacies analysis of the northern depobelt in the Niger Delta region. It provides valuable geological insights into the sedimentary processes and depositional environments in this key oil-producing area.