| A digital platform for the design of patient-centric supply chains N Triantafyllou, A Bernardi, M Lakelin, N Shah, MM Papathanasiou Scientific Reports 12 (1), 17365, 2022 | 7 | 2022 |
| Assessment of intermediate storage and distribution nodes in personalised medicine A Bernardi, M Sarkis, N Triantafyllou, M Lakelin, N Shah, ... Computers & Chemical Engineering 157, 107582, 2022 | 4 | 2022 |
| Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality N Triantafyllou, MM Papathanasiou Computers & Chemical Engineering 187, 108725, 2024 | 2 | 2024 |
| Combined Bayesian optimization and global sensitivity analysis for the optimization of simulation-based pharmaceutical processes N Triantafyllou, N Shah, MM Papathanasiou, C Kontoravdi Computer Aided Chemical Engineering 52, 381-386, 2023 | 2 | 2023 |
| Integrated Process and Supply Chain Design and Optimization N Triantafyllou, M Sarkis, N Shah, C Kontoravdi, MM Papathanasiou Biopharmaceutical Manufacturing: Progress, Trends and Challenges, 213-239, 2024 | 1 | 2024 |
| Uncertainty quantification for gene delivery methods: A roadmap for pDNA manufacturing from phase I clinical trials to commercialization N Triantafyllou, M Sarkis, A Krassakopoulou, N Shah, MM Papathanasiou, ... Biotechnology Journal 19 (1), 2300103, 2024 | 1 | 2024 |
| Machine learning-based decomposition for complex supply chains N Triantafyllou, S Papaiakovou, A Bernardi, M Lakelin, N Shah, ... Computer Aided Chemical Engineering 52, 1655-1660, 2023 | 1 | 2023 |
| A sustainability analysis for a circular power-to-liquid process for diesel production G Leonzio, N Triantafyllou, N Shah Sustainable Production and Consumption 51, 657-669, 2024 | | 2024 |
| Learning to Reduce Dimensionality in Mixed Integer Optimization N Triantafyllou, MM Papathanasiou 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Comparative assessment of simulation-based and surrogate-based approaches to flowsheet optimization using dimensionality reduction N Triantafyllou, B Lyons, A Bernardi, B Chachuat, C Kontoravdi, ... Computers & Chemical Engineering 189, 108807, 2024 | | 2024 |
| Improved Deep Learning Architectures for the Decomposition of Mixed Integer Optimization Problems N Triantafyllou, MM Papathanasiou Computer Aided Chemical Engineering 53, 2749-2754, 2024 | | 2024 |
| A Framework for Global Sensitivity Analysis Via Machine Learning for Dimensionality Reduction P Quintanilla, N Triantafyllou, M Sarkis, RA Abbiati, MM Papathanasiou 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Combined Bayesian Optimization and Global Sensitivity Analysis for the Optimization of Simulation-Based Flowsheets N Triantafyllou, N Shah, C Kontoravdi, M Papathanasiou 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Towards Scalable and Cost-Effective Plasmid DNA Manufacturing N Triantafyllou, M Sarkis, N Shah, M Papathanasiou, C Kontoravdi 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Using Machine Learning to Decompose Large-Scale MILP Supply Chain Models N Triantafyllou, P Quintanilla, A Bernardi, N Shah, M Papathanasiou 2023 AIChE Annual Meeting, 2023 | | 2023 |
| Multiscale Healthcare Supply Chains: Patient in the Loop M Sarkis, N Triantafyllou, A Bernardi, N Shah, M Papathanasiou 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Fresh vs frozen: assessing the impact of cryopreservation in personalised medicine N Triantafyllou, A Bernardi, M Lakelin, N Shah, MM Papathanasiou Computer Aided Chemical Engineering 51, 955-960, 2022 | | 2022 |
| A bi-level decomposition approach for CAR-T cell therapies supply chain optimisation N Triantafyllou, A Bernardi, M Lakelin, N Shah, MM Papathanasiou Computer Aided Chemical Engineering 49, 2197-2202, 2022 | | 2022 |
| Sustainable Production and Consumption G Leonzio, N Triantafyllou, N Shah | | |
