A leading Nigerian engineer and renewable energy researcher, Dr. Moses Oluwatobi Fajobi, is drawing national and global attention for his groundbreaking contributions to sustainable energy development aimed at strengthening Nigeria’s energy mix. Armed with a Ph.D. from the University of Ilorin, Fajobi has built a strong reputation in bioenergy production, biomass characterization, climate resilience, and energy security, offering practical solutions to the country’s persistent power challenges.

Through an extensive body of research, Fajobi has consistently highlighted the urgent need to diversify Nigeria’s energy sources beyond fossil fuels. His studies explore the vast potential of locally available biomass such as cow dung, mango pulp, and Chromolaena odorata leaves, positioning them as viable raw materials for biogas production. His work not only addresses energy shortages but also tackles environmental pollution and health risks associated with traditional energy sources.

One of his landmark 2022 studies published in Scientific Reports provided detailed physicochemical analysis of agricultural residues in Nigeria, establishing their suitability for renewable energy generation. The research has since become a reference point for biomass valorization, offering a scientific basis for converting waste into clean energy while enhancing environmental sustainability and economic resilience.

In another significant contribution, Fajobi examined the role of co-digestion and artificial intelligence in optimizing biogas production. His findings revealed that combining different biomass materials can significantly improve methane yield, while the integration of AI tools such as Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference Systems can enhance efficiency, reduce operational costs, and enable real-time monitoring of energy production systems.

Beyond energy generation, Fajobi has also addressed critical public health concerns linked to traditional fuel use. His research into charcoal combustion and ignition materials identified the environmental and health impacts of commonly used fuel sources, providing safer alternatives and practical recommendations for households, particularly in low-income communities.

Further advancing the field, his 2023 study introduced a predictive model for estimating biogas yield using advanced machine learning techniques. The model, which has been adapted into a user-friendly interface, allows energy producers to optimize production processes, improve output, and reduce waste—marking a significant step toward the commercialization of bioenergy in Nigeria.

Stakeholders say Fajobi’s work is timely, especially as Nigeria grapples with rising energy demand, unstable fossil fuel markets, and the growing impact of climate change. His research presents a compelling case for the adoption of renewable energy technologies that are not only environmentally friendly but also economically viable.

In addition to his research achievements, Fajobi is actively shaping the next generation of engineers and energy experts through teaching and mentorship at Ladoke Akintola University of Technology. His commitment to knowledge transfer is helping to build local capacity needed to drive innovation in Nigeria’s energy sector.