New !....2026 projects and publications

Machine learning/ AI approaches to optimisation

• Mapping compositional trends in biocrude from mixed food waste: methodological insights from regression and neural networks

Thermochemical transformations: 

• dependence of HTL performance, product quality, composition and yield on solvent relative polarity.
• Kinetics of HTL of foodwaste using different solvents
• Optimising the synergy of different macromolecules on HTL performance 

Microbial approaches to valorisation of biomass 

Some cool publications

• Okoro, O. V., Marquet, B., Nie, L., & Shavandi, A. (2026). Mapping compositional trends in biocrude from mixed food waste: methodological insights from regression and neural networks. Biomass and Bioenergy, 210, 109013.https://doi.org/10.1016/j.biombioe.2026.109013

• Okoro, O. V., Hippolyte, D. C., Nie, L., Karimi, K., Denayer, J. F. M., & Shavandi, A. (2025). Machine learning-based predictive modeling and optimization: Artificial neural network-genetic algorithm vs. response surface methodology for black soldier fly (Hermetia illucens) farm waste fermentation. Biochemical Engineering Journal, 109685.https://doi.org/10.1016/j.bej.2025.109685

Please see publications for more details