1 citations · 1 across the 3 of their papers we have counts for
5 papers
Amortised Global Sensitivity Analysis of Pharmacokinetic models for Simulated Clinical Trials
Daniele Pessina, Roberto A. Abbiati, Maria M. Papathanasiou
Pharmacokinetic and pharmacokinetic-pharmacodynamic models are used in simulated clinical trials to compare dosing protocols and patient groups before a trial is run. Distinct virt…
Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality
Niki Triantafyllou, Maria M. Papathanasiou
This work introduces a framework to address the computational complexity inherent in Mixed-Integer Programming (MIP) models by harnessing the potential of deep learning. By employi…
Operability-economics trade-offs in adsorption-based CO capture process
Steven Sachio, Adam Ward, Ronny Pini +1
Low-carbon dispatchable power underpins a sustainable energy system, providing load balancing complementing wide-scale deployment of intermittent renewable power. In this new conte…
A model-based approach towards accelerated process development: A case study on chromatography
Steven Sachio, Cleo Kontoravdi, Maria M. Papathanasiou
Process development is typically associated with lengthy wet-lab experiments for the identification of good candidate setups and operating conditions. In this paper, we present the…
Integrating process design and control using reinforcement learning
Steven Sachio, Max Mowbray, Maria Papathanasiou +2
To create efficient-high performing processes, one must find an optimal design with its corresponding controller that ensures optimal operation in the presence of uncertainty. When…