Current graduate students

X-ray absorption spectroscopy (XAS) is a useful technique for studying electronic and structural properties of materials. When these measurements are performed in-situ, it is valuable to identify the reactive species and monitor the reaction kinetics. This could significantly improve our understanding of material property and advance the rational design of material with improved performance.

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.

Monday, May 7, 2018 9:15 am - 12:45 pm EDT (GMT -04:00)

CHE Master's Research Colloquium

Interested in learning more about the fascinating research that Waterloo's chemical engineering graduate students are conducting? Now is your chance!

Join us at the Master's Research Colloquium, where master's students will present their research throughout the day.

POSTER SESSION: 9:15-10:15 am in the 1st and 3rd floor atriums

PRESENTATIONS: 

Session 1

Group A, Process Systems Engineering: E6 2024 10:30-11:30 am

Group B, Biochemical & Biomedical Engineering: E6 2022 10:30-11:15 am

The Chemical Engineering Department is hosting a special graduate lecture on Optimization and simulation-based approaches to manage logistics of trucks and ships in large supply chains.

Abstract :

Humanity faces multiple converging crises such as pandemics, climate change, ecosystem degradation, and environmental pressures from rising global prosperity. We urgently need transformative solutions. At the same time, the past three decades have also witnessed sterling advances in genomics, synthetic biology, and computation, which have re-cast living systems as programmable platforms for innovation. Biology has now matured into a form of infrastructure - an enabling layer upon which solutions to health, the energy transition, material de-fossilization and the circular economy can be built.

Just as physical infrastructure underpinned the industrial age and digital infrastructure drives the current information age, biological infrastructure now offers the foundation for a sustainable one. Engineered biological systems can facilitate a more rapid response to emerging threats, enable sustainable resource recovery, as well as upcycle waste into high-value products. In this sense, biology is no longer confined to the laboratory; it is becoming the scaffolding of a new industrial paradigm where living and designed systems work in concert to sustain civilization.