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ORCIDIlias Mitrai
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2020 – today
- 2026
[j6]Ilias Mitrai
, Matthew J. Palys, Prodromos Daoutidis:
A multistage stochastic programming approach for renewable ammonia supply chain network design. Comput. Chem. Eng. 205: 109443 (2026)- [j5]Zhe Li, Bernard T. Agyeman, Ilias Mitrai, Prodromos Daoutidis:
Learning to control inexact Benders decomposition via reinforcement learning. Comput. Chem. Eng. 205: 109461 (2026) - [i6]Zhe Li, Ilias Mitrai:
Learning interpretable and stable dynamical models via mixed-integer Lyapunov-constrained optimization. CoRR abs/2604.07611 (2026) - 2025
- [j4]Jethro Lim, Ilias Mitrai, Prodromos Daoutidis, Catherine Stamoulis:
The Adolescent functional connectome is dynamically controlled by a sparse core of cognitive and topological hubs. NeuroImage 322: 121562 (2025) - [i5]Ilias Mitrai:
Discovering interpretable piecewise nonlinear model predictive control laws via symbolic decision trees. CoRR abs/2510.10411 (2025) - 2024
- [j3]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence, Part II: Learning to initialize. Comput. Chem. Eng. 186: 108686 (2024) - [j2]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence, Part I: Learning when to decompose. Comput. Chem. Eng. 186: 108688 (2024) - [c4]Ilias Mitrai, Prodromos Daoutidis:
Machine Learning-Based Initialization of Generalized Benders Decomposition for Mixed Integer Model Predictive Control. ACC 2024: 4460-4465 - [c3]Jethro Lim, Ilias Mitrai, Prodromos Daoutidis, Catherine Stamoulis:
Effects of topology on the controllability of brain connectomes through sparsity promoting control. EMBC 2024: 1-4 - [i4]Ilias Mitrai, Prodromos Daoutidis:
Accelerating process control and optimization via machine learning: A review. CoRR abs/2412.18529 (2024) - 2023
- [c2]Wentao Tang, Andrew Allman, Ilias Mitrai, Prodromos Daoutidis:
Resolving large-scale control and optimization through network structure analysis and decomposition: A tutorial review. ACC 2023: 3113-3129 - [i3]Ilias Mitrai, Prodromos Daoutidis:
Computationally efficient solution of mixed integer model predictive control problems via machine learning aided Benders Decomposition. CoRR abs/2309.16508 (2023) - [i2]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence: Part I. Learning when to decompose. CoRR abs/2310.07068 (2023) - [i1]Ilias Mitrai, Prodromos Daoutidis:
Taking the human out of decomposition-based optimization via artificial intelligence: Part II. Learning to initialize. CoRR abs/2310.07082 (2023) - 2022
- [j1]Ilias Mitrai, Prodromos Daoutidis:
A multicut generalized benders decomposition approach for the integration of process operations and dynamic optimization for continuous systems. Comput. Chem. Eng. 164: 107859 (2022) - 2021
- [c1]Ilias Mitrai, Catherine Stamoulis, Prodromos Daoutidis:
A sparse H∞ controller synthesis perspective on the reconfiguration of brain networks. ACC 2021: 1204-1209
Coauthor Index
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