The research developed by Prof. Ricardez-Sandoval has been generously supported by a network of collaborators from the federal government, i.e. Canada Foundation for Innovation (CFI), Natural Sciences and Engineering Research Council of Canada (NSERC), Mitacs, and CanmetENERGY, which is a part of Natural Resources Canada; the provincial government of Ontario, i.e. Ontario Centres of Excellence (OCE), Ontario Research Fund (ORF), and the Early Researchers Award (ERA) granted by the Ministry of Research and Innovation; and private companies in the analytical services and manufacturing sectors. In addition, we have welcomed international visitor scholars that have been supported by different domestic and international agencies, e.g. Emerging Leaders in the Americas Program (ELAP), Canada-Brazil Science Without Borders and Consejo Nacional de Ciencia y Tecnologia, Mexico (CONACYT). We would like to extend our sincere and deepest gratitude to all our federal, provincial and industrial partners that have supported our research projects!
Graduate and undergraduate students with a multi-disciplinary background that work together with Prof. Ricardez-Sandoval in the development and implementation of theoretical and computational-based tools that are aimed at improving the design and operability of chemical systems, including those that evolve at different time and length scales, and to provide new insight or better understanding of industrially-relevant processes. In particular, we pursue the development of novel mathematical tools for the optimal design and control of systems under uncertainty, improvement of operation of traditional and state-of-the-art CO2 capture and gasification technologies for power generation with near-zero emissions, providing insight into the operation and control of multiscale systems under uncertainty, and improving the performance of industrially-relevant process through the application of novel process systems engineering tools.
For more information, please visit the research site: Chemical Process Optimization, Multiscale Modelling and Process Systems
