Ilias Mitrai

According to our database, Ilias Mitrai authored at least 16 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

A Hybrid Reinforcement and Self-Supervised Learning Aided Benders Decomposition Algorithm.

Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis

CoRR, April, 2026

Learning interpretable and stable dynamical models via mixed-integer Lyapunov-constrained optimization.

Zhe Li, Ilias Mitrai

CoRR, April, 2026

Feasibility-Aware Imitation Learning for Benders Decomposition.

Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis

CoRR, April, 2026

A multistage stochastic programming approach for renewable ammonia supply chain network design.

Ilias Mitrai, Matthew J. Palys, Prodromos Daoutidis

Comput. Chem. Eng., 2026

Learning to control inexact Benders decomposition via reinforcement learning.

Zhe Li, Bernard T. Agyeman, Ilias Mitrai, Prodromos Daoutidis

Comput. Chem. Eng., 2026

2025

Discovering interpretable piecewise nonlinear model predictive control laws via symbolic decision trees.

Ilias Mitrai

CoRR, October, 2025

The Adolescent functional connectome is dynamically controlled by a sparse core of cognitive and topological hubs.

Jethro Lim, Ilias Mitrai, Prodromos Daoutidis, Catherine Stamoulis

NeuroImage, 2025

2024

Accelerating process control and optimization via machine learning: A review.

Ilias Mitrai, Prodromos Daoutidis

CoRR, 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

Taking the human out of decomposition-based optimization via artificial intelligence, Part II: Learning to initialize.

Ilias Mitrai, Prodromos Daoutidis

Comput. Chem. Eng., 2024

Effects of topology on the controllability of brain connectomes through sparsity promoting control.

Jethro Lim, Ilias Mitrai, Prodromos Daoutidis, Catherine Stamoulis

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Machine Learning-Based Initialization of Generalized Benders Decomposition for Mixed Integer Model Predictive Control.

Ilias Mitrai, Prodromos Daoutidis

Proceedings of the American Control Conference, 2024

2023

Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition.

Ilias Mitrai, Prodromos Daoutidis

CoRR, 2023

Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review.

Wentao Tang, Andrew Allman, Ilias Mitrai, Prodromos Daoutidis

Proceedings of the American Control Conference, 2023

2022

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

2021

A sparse H∞ controller synthesis perspective on the reconfiguration of brain networks.

Ilias Mitrai, Catherine Stamoulis, Prodromos Daoutidis

Proceedings of the 2021 American Control Conference, 2021