Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes. - Eric Bradford; Artur M. Schweidtmann; Dongda Zhang; Keju Jing; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2018)

Stochastic data-driven model predictive control using gaussian processes. - Eric Bradford; Lars Imsland; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2020)

Reinforcement learning for batch bioprocess optimization. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2020)

Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2020)

Chance Constrained Policy Optimization for Process Control and Optimization. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Federico Galvanin; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2020)

Constrained model-free reinforcement learning for process optimization. - Elton Pan; Panagiotis Petsagkourakis; Max Mowbray; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2021)

Safe Chance Constrained Reinforcement Learning for Batch Process Control. - Max Mowbray; Panagiotis Petsagkourakis; Ehecatl Antonio del Rio-Chanona; Robin Smith; Dongda Zhang (CoRR, 2021)

Safe chance constrained reinforcement learning for batch process control. - Max Mowbray; Panagiotis Petsagkourakis; Ehecatl Antonio del Rio-Chanona; Dongda Zhang (Comput. Chem. Eng., 2022)

Distributional Reinforcement Learning for Scheduling of Chemical Production Processes. - Max Mowbray; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2022)

The Automated Discovery of Kinetic Rate Models - Methodological Frameworks. - Miguel Ángel de Carvalho Servia; Ilya Orson Sandoval; Klaus Hellgardt; King Kuok Hii; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2023)

Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development. - Alexander W. Rogers; Amanda Lane; Cesar Mendoza; Simon Watson 003; Adam Kowalski; Philip Martin; Dongda Zhang (CoRR, 2024)

Simplest Mechanism Builder Algorithm (SiMBA): An Automated Microkinetic Model Discovery Tool. - Miguel Ángel de Carvalho Servia; King Kuok Hii; Klaus Hellgardt; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2024)

Enhancing reinforcement learning for population setpoint tracking in co-cultures. - Sebastián Espinel-Ríos; Joyce Qiaoxi Mo; Dongda Zhang; Ehecatl Antonio del Rio-Chanona; José L. Avalos (CoRR, 2024)

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; Dongda Zhang (Comput. Chem. Eng., 2025)

Reinforcement learning for robust dynamic metabolic control. - Sebastián Espinel-Ríos; River Walser; Dongda Zhang (CoRR, 2025)

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery. - Miguel Ángel de Carvalho Servia; Ilya Orson Sandoval; King Kuok Hii; Klaus Hellgardt; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2025)