8 citations · 24 across the 8 of their papers we have counts for
8 papers
Automated feature-region selection for soft-sensor development from spectral-like measurements
Sebastián Espinel-Ríos, Wenchao Duan
Sustainable production increasingly relies on process analytical chemistry and process analytical technology to support monitoring, control, and automation. Techniques used in thes…
Switching-time bioprocess control with pulse-width-modulated optogenetics
Sebastián Espinel-Ríos
Biotechnology can benefit from dynamic control to improve production efficiency. In this context, optogenetics enables modulation of gene expression using light as an external inpu…
Reinforcement learning for robust dynamic metabolic control
Sebastián Espinel-Ríos, River Walser, Dongda Zhang
Dynamic metabolic control allows key metabolic fluxes to be modulated in real time, enhancing bioprocess flexibility and expanding available optimization degrees of freedom. This i…
Reinforcement learning for efficient and robust multi-setpoint and multi-trajectory tracking in bioprocesses
Sebastián Espinel-Ríos, José L. Avalos, Ehecatl Antonio del Rio Chanona +1
Efficient and robust bioprocess control is essential for maximizing performance and adaptability in advanced biotechnological systems. In this work, we present a reinforcement-lear…
Enhancing reinforcement learning for population setpoint tracking in co-cultures
Sebastián Espinel-Ríos, Joyce Qiaoxi Mo, Dongda Zhang +2
Efficient multiple setpoint tracking can enable advanced biotechnological applications, such as maintaining desired population levels in co-cultures for optimal metabolic division…
Omics-driven hybrid dynamic modeling of bioprocesses with uncertainty estimation
Sebastián Espinel-Ríos, José Montaño López, José L. Avalos
This work presents an omics-driven modeling pipeline that integrates machine-learning tools to facilitate the dynamic modeling of multiscale biological systems. Random forests and…
Linking intra- and extra-cellular metabolic domains via neural-network surrogates for dynamic metabolic control
Sebastián Espinel-Ríos, José L. Avalos
We outline a modeling and optimization strategy for investigating dynamic metabolic engineering interventions. Our framework is particularly useful at the early stages of research…
Towards a modeling, optimization and predictive control framework for fed-batch metabolic cybergenetics
Sebastián Espinel-Ríos, Bruno Morabito, Johannes Pohlodek +3
Biotechnology offers many opportunities for the sustainable manufacturing of valuable products. The toolbox to optimize bioprocesses includes \textit{extracellular} process element…