The Foundations of Computer Aided Process Design (FOCAPD) Conference July 14-18, 2024 Beaver Run, Breckenridge, CO, USA
Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
The Foundations of Computer Aided Process Design (FOCAPD) Conference July 14-18, 2024 Beaver Run, Breckenridge, CO, USA
Foundations of Molecular Modeling and Simulation (FOMMS 2024) July 28 - August 1, 2024 Snowbird, Utah
2024 Brazil Student Regional Conference July 29 - August 2, 2024 Universidade Federal do Paraná, Curitiba, Paraná, Brazil
2024 International Mammalian Synthetic Biology Workshop (mSBW) August 6-7, 2024 George Sherman Union at Boston University, Boston, MA, USA
2024 China Chem-E-Car Competition August 6-7, 2024 Central South University, Changsha, Hunan Province, China
Archived Webinar Want to be an Entrepreneur? Personal Stories From Three Successful Entrepreneurs Who Have Traveled This Path.
Niki Triantafyllou Citation name Triantafyllou, N. Affiliation Imperial College London Country United Kingdom Authored(494a) Multi-Objective Supply Chain Optimization in Personalized HealthcareAndrea BernardiNiki TriantafyllouAthanasios AntonakoudisMatthew LakelinNilay ShahMaria Papathanasiou2021 Annual Meeting (ISBN: 978-0-8169-1116-5)(575a) Multiscale Healthcare Supply Chains: Patient in the LoopMiriam SarkisNiki TriantafyllouAndrea BernardiNilay ShahMaria Papathanasiou2022 Annual Meeting (ISBN: 978-0-8169-1118-9)(241d) A Framework for Global Sensitivity Analysis Via Machine Learning for Dimensionality ReductionPaulina QuintanillaNiki TriantafyllouMiriam SarkisRoberto Andrea AbbiatiMaria M Papathanasiou2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(69d) Towards Scalable and Cost-Effective Plasmid DNA ManufacturingNiki TriantafyllouMiriam SarkisNilay ShahMaria PapathanasiouCleo Kontoravdi2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(347a) Combined Bayesian Optimization and Global Sensitivity Analysis for the Optimization of Simulation-Based FlowsheetsNiki TriantafyllouNilay ShahCleo KontoravdiMaria Papathanasiou2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2)(471e) Using Machine Learning to Decompose Large-Scale MILP Supply Chain ModelsNiki TriantafyllouPaulina QuintanillaAndrea BernardiNilay ShahMaria Papathanasiou2023 AIChE Annual Meeting (ISBN: 978-0-8169-1120-2) Associated proceedings 2021 Annual Meeting 2022 Annual Meeting 2023 AIChE Annual Meeting
