Evans Ondura
Focus: Characterizing and Modeling Residual Biomass from Agricultural Supply Chains as Feedstock for Biorefineries Using Explainable AI and Machine Learning Techniques.
Evan's research focuses on characterizing and modeling residual biomass from agricultural supply chains to evaluate its potential as a sustainable feedstock for biorefineries. By integrating explainable artificial intelligence (XAI) and machine learning techniques, the study aims to uncover patterns in the physicochemical profiles of biomass, model its bioconversion suitability, and develop data-driven classification frameworks. This approach supports more informed decision-making in residual biomass valorization, contributing to optimized biorefinery designs and circular bioeconomy strategies.
1. Tomescu S, Crompton T, Adebayo J, Akpan F, Dauda DS, Allen Z, Ondura EO, Wose Kinge C, Chasela C, Pisa P. Factors associated with viral load non-suppression in people living with HIV on ART in Nigeria: a cross-sectional analysis from 2017 to 2021. BMJ Open. 2023 May 11;13(5): e065950. doi.org/10.1136/bmjopen-2022-065950. PMID: 37169497; PMCID: PMC10186439.
2. Tomescu, S., Crompton, T., Adebayo, J., Kinge, C., Akpan, F., Rennick, M., Chasela, C., Ondura, E., Dauda, S., Pisa, P. Factors associated with an interruption in treatment of people living with HIV in USAID-supported states in Nigeria: a retrospective study from 2000–2020. BMC Public Health 21, 2194 (2021). https://doi.org/10.1186/s12889-021-12264-9.