Publications

Publications in reversed chronological order. The most up-to-date list of publications can be found on Google Scholar.

Journal Articles

• Triantafyllou, N., & Papathanasiou, M. M. (2024). "Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality." Computers & Chemical Engineering. 187, 108725. (Invited paper) • Triantafyllou, N., Lyons, B., Bernardi, A., Chachuat, B., Kontoravdi, C., & Papathanasiou, M. M. (2024). "Comparative assessment of simulation-based and surrogate-based approaches to flowsheet optimization using dimensionality reduction." Computers & Chemical Engineering. 108807. (Invited paper) • Triantafyllou, N., Sarkis, M., Krassakopoulou, A., Shah, N., Papathanasiou, M. M., & Kontoravdi, C. (2024). "Uncertainty quantification for gene delivery methods: A roadmap for pDNA manufacturing from phase I clinical trials to commercialization." Biotechnology Journal. 19(1), 2300103. (Top 10% most-viewed article in 2023) • Triantafyllou, N., Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). "A digital platform for the design of patient-centric supply chains." Nature Scientific Reports. 12, 17365. • Bernardi, A., Sarkis, M., Triantafyllou, N., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). "Assessment of intermediate storage and distribution nodes in personalised medicine." Computers & Chemical Engineering. 157, 107582.

Book Chapter

• Triantafyllou, N., Sarkis, M., Shah, N., Kontoravdi, C., & Papathanasiou, M. M. (2024). "Integrated Process and Supply Chain Design and Optimization." In Biopharmaceutical Manufacturing: Progress, Trends and Challenges, edited by Ralf Pörtner, Springer Nature, pp. 213-239.

Conference Papers

• Triantafyllou, N., & Papathanasiou, M. M. (2024). "Improved deep learning architectures for the decomposition of mixed integer optimization problems." In Computer Aided Chemical Engineering, Vol. 53, pp. 2749-2754. • Triantafyllou, N., Papaiakovou, S., Bernardi, A., Lakelin, M., Shah, N., Kokossis, A., & Papathanasiou, M. M. (2023). "Machine learning-based decomposition for complex supply chains" In Computer Aided Chemical Engineering, Vol. 52, pp. 1655-1660. • Triantafyllou, N., Shah, N., Papathanasiou, M. M., & Kontoravdi, C. (2023). "Combined Bayesian optimization and global sensitivity analysis for the optimization of simulation-based pharmaceutical processes." In Computer Aided Chemical Engineering, Vol. 52, pp. 381-386. • Triantafyllou, N., Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). "Fresh vs frozen: assessing the impact of cryopreservation in personalised medicine" In Computer Aided Chemical Engineering, Vol. 51, pp. 955-960. • Triantafyllou, N., Bernardi, A., Lakelin, M., Shah, N., & Papathanasiou, M. M. (2022). "A bi-level decomposition approach for CAR-T cell therapies supply chain optimisation" In Computer Aided Chemical Engineering, Vol. 49, pp. 2197-2202.

Policy Reports

• Shah, N., Bogle, D., Bounitsis, G., Cooper, J., Jalil-Vega, F., Triantafyllou, N. (2025). "Low-carbon maritime fuelling: A technoeconomic analysis of different low-carbon maritime fuelling options." National Engineering Policy Centre, Royal Academy of Engineering.