Federal University of Technology, Akure | Nigeria
Author Profile
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🎓 Early Academic Pursuits
Mr. Lateef Adamolekun embarked on his academic journey in mining and mineral resources, earning an ND in Mineral Resources Engineering from the Federal Polytechnic, Ado-Ekiti, with Upper Credit in 2006. He continued to deepen his knowledge with a B.Eng. in Mining Engineering from the Federal University of Technology, Akure, graduating with a Second Class Upper Division in 2011. Driven by a passion for advanced mining techniques, he completed an M.Eng. in Surface Mining Engineering from the same institution in 2015 and is currently pursuing a Ph.D. in Surface Mining Engineering, demonstrating his commitment to the field’s evolving demands and research advancements.
💼 Professional Endeavors
Since joining Dangote Cement Plc in 2014, Mr. Adamolekun has contributed extensively to mining operations at the Gboko Plant, Benue State. His role as a Mining Engineer involves overseeing critical areas such as production scheduling, documentation, and environmental compliance, while implementing effective haulage and blast designs. He also plays a pivotal role in dewatering operations, equipment specification, and blueprint preparation for mining projects. Mr. Adamolekun’s expertise in queue models and operational research has helped optimize processes, reducing financial losses by 60%. His leadership in supervising drilling, blasting, and overburden operations underscores his comprehensive approach to ensuring productivity and regulatory alignment in mining activities.
🔬 Contributions and Research Focus
Mr. Adamolekun’s research delves into machine learning applications for predicting soil properties and assessing materials for engineering applications. His work includes developing models for predicting hydraulic conductivity and compaction parameters of lateritic soils, essential for infrastructure projects. His recent publications explore artificial neural networks (ANN) for modeling soil strength and soft computing techniques in geotechnical assessment. His research contributions provide valuable insights into optimizing quarry powder factors, enhancing fragmentation, and assessing soil suitability for post-mining land use, all pivotal for sustainable mining and construction practices.
🏆 Accolades and Recognition
Mr. Adamolekun is a registered Mining Engineer with the Council for the Regulation of Engineering in Nigeria (COREN) and the Council of Nigerian Mining Engineers and Geoscientists (COMEG). His additional certifications in blasting from the Ministry of Mines & Steel Development and Health, Safety, and Environment (HSE) training further solidify his expertise. His professional memberships, including with the Nigerian Mining and Geosciences Society (NMGS) and Nigerian Society of Mining Engineers (NSME), reflect his active engagement with the mining community and recognition among peers for his commitment to safety and innovation.
🌍 Impact and Influence
Mr. Adamolekun’s work has had a significant impact on sustainable mining practices and infrastructure projects in Nigeria. His pioneering use of machine learning to optimize soil assessment supports the efficient use of local materials and aids in strategic decision-making in construction and mining. His initiatives in cost reduction and operational efficiency at Dangote Cement have established benchmarks for productivity. Additionally, his publications contribute to the scientific community, influencing methodologies in geotechnics and soft computing applied to mining and engineering.
🔮 Legacy and Future Contributions
Looking ahead, Mr. Adamolekun aspires to continue innovating in the field of mining engineering, with a focus on integrating advanced machine learning techniques and data analytics for predictive modeling. His vision includes developing more sustainable mining methodologies that balance productivity with environmental stewardship. Through his ongoing research and leadership, he is well-positioned to make impactful contributions to mining safety and efficiency, leaving a legacy of excellence in the field of mining engineering.
Publications
📘 Development of Machine Learning-Based Standalone GUI Application for Predicting Hydraulic Conductivity and Compaction Parameters of Lateritic Soils
- Journal: Scientific African
- Year: 2024
- Authors: Lateef Bankole Adamolekun, Muyideen Alade Saliu, Abiodun Ismail Lawal, Ismail Adeniyi Okewale
📘 Investigating the Competency of Selected Soft Computing Techniques for Modeling of Lateritic Soil Strength Based on Index Properties
- Journal: International Journal of Science and Research Archive
- Year: 2024
- Authors: Lateef Bankole Adamolekun, Muyideen Alade Saliu, Abiodun Ismail Lawal, Ismail Adeniyi Okewale
📘 Geotechnical Assessment of Selected Lateritic Soils in Southwest Nigeria for Road Construction and Development of Artificial Neural Network Mathematical-Based Model for Prediction of the California Bearing Ratio
- Journal: International Journal of Innovative Science and Research Technology (IJISRT)
- Year: 2024
- Authors: Lateef Bankole Adamolekun, Muyideen Alade Saliu, Abiodun Ismail Lawal, Ismail Adeniyi Okewale
📘 Development of Artificial Neural Network-Based Mathematical Models for Predicting Small Scale Quarry Powder Factor for Efficient Fragmentation Coupled with Uniformity Index Model
- Journal: Artificial Intelligence Review
- Year: 2023
- Authors: Blessing Olamide Taiwo, Yewuhalashet Fissha, Lateef Bankole Adamolekun, Olaoluwa Bidemi Ogunyemi, Victor Famobuwa Oluwaseun, Oluwatomisin Victoria Adediran
📘 Improvement of Asphalt Production Investment in Nigeria Through Profitability Assessment: A Case Study of Oyo State Nigeria Construction Company
- Journal: International Journal of Engineering and Advanced Technology Studies
- Year: 2022
- Authors: Mbuyi Mata Melodi, Blessing Olamide Taiwo, Lateef Bankole Adamolekun