A sparse H∞ controller synthesis perspective on the reconfiguration of brain networks. - Ilias Mitrai; Catherine Stamoulis; Prodromos Daoutidis (ACC, 2021)

A multicut generalized benders decomposition approach for the integration of process operations and dynamic optimization for continuous systems. - Ilias Mitrai; Prodromos Daoutidis (Comput. Chem. Eng., 2022)

Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review. - Wentao Tang 001; Andrew Allman; Ilias Mitrai; Prodromos Daoutidis (ACC, 2023)

Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition. - Ilias Mitrai; Prodromos Daoutidis (CoRR, 2023)

Machine Learning-Based Initialization of Generalized Benders Decomposition for Mixed Integer Model Predictive Control. - Ilias Mitrai; Prodromos Daoutidis (ACC, 2024)

Effects of topology on the controllability of brain connectomes through sparsity promoting control. - Jethro Lim; Ilias Mitrai; Prodromos Daoutidis; Catherine Stamoulis (EMBC, 2024)

Taking the human out of decomposition-based optimization via artificial intelligence, Part II: Learning to initialize. - Ilias Mitrai; Prodromos Daoutidis (Comput. Chem. Eng., 2024)

Taking the human out of decomposition-based optimization via artificial intelligence, Part I: Learning when to decompose. - Ilias Mitrai; Prodromos Daoutidis (Comput. Chem. Eng., 2024)

Accelerating process control and optimization via machine learning: A review. - Ilias Mitrai; Prodromos Daoutidis (CoRR, 2024)