Every day, countless lives are saved by blood pumps, including those that have been implanted and those used in the Intensive Care Unit (ICU), in heart surgery and during hemodialysis. Blood pumps, however, damage blood by exposing it to high stresses, causing platelet activation and hemolysis, which leads to blood clots. For example, seven percent of ICU patients on the extracorporeal membrane oxygenation (ECMO) blood pump suffer from severe hemolysis, which increases the mortality rate by six times.
The Waterloo Institute for Sustainable Energy and the Canadian Plastics Industry Association are pleased to offer complimentary academic registration to faculty and students for this 2-day event.
This conference is intended to bring together international experts, policy makers, researchers, innovators and entrepreneurs to explore how the advancements in resource recovery technologies and the pursuit of a sustainable economy are changing the way we interact with our world.
Model based multi-parametric optimization provides a complete map of solutions of an optimization problem as a function of, unknown but bounded, parameters in the model, in a computationally efficient manner, without exhaustively enumerating the entire parameter space. In a Model-based Predictive Control (MPC) framework, multi-parametric optimization can be used to obtain the governing control laws – the optimal control variables as an explicit function of the state variables.