Luis Ricardez Sandoval

University Research Chair II, Associate Professor

Contact InformationLuis Ricardez Sandoval

Phone: 519-888-4567 x38667
Location: E6 3014


Biography Summary

Luis Ricardez-Sandoval is a Chemical Engineering Assistant Professor at the University of Waterloo.

His Chemical Process Optimization, Multiscale Modelling and Process Systems research program is focused on the development and implementation of theoretical and computational-based tools. These tools are aimed at improving the design and operability of chemical systems and also aim to provide new insight on industrially-relevant processes.

Professor Ricardez-Sandoval’s research group has developed a set of methodologies that can be applied to a general class of chemical systems for process improvement. They have developed mathematical models that provide new insight about the mechanisms and operation of industrially-relevant processes. A key aspect in Professor Ricardez-Sandoval’s research is the implementation of uncertainty analysis to assess process variability under uncertainty. He strongly believes that model uncertainty is essential for designing efficient mathematical tools that can realistically be applied in process improvement practice.

His research has been supported by federal government collaborators (CFI, ORF, NSERC, Mitacs, CanmetENERGY, Government of Canada); industrial partners (Activation Laboratories and Angstrom Engineering); and the Ontario Government; as well as the Early Researchers Award granted by the Ministry of Research and Innovation. In addition, he has received visitor scholars that have been financially supported by different agencies such as Emerging Leaders in the Americas Program (ELAP) and Canada-Brazil without borders.

Professor Ricardez-Sandoval’s current nanotechnology interests focus on the development of multiscale models for manufacturing and catalytic processes such as thin film deposition and methane cracking reactions for the production of hydrogen and carbon nano-materials. He also aims to develop comprehensive mechanistic process models that can describe the behavior of CO2 capture technologies and new technologies for IGCC power plants for clean power production. Professor Ricardez-Sandoval’s research interests also include the development of new methodologies that can efficiently perform optimal design while considering the dynamics and controllability of the systems under uncertainty. He also develops novel and efficient mathematical formulations for optimal scheduling of large-scale facilities in order to improve operations management in the manufacturing and analytical service sectors.

Research Interests

  • Process Control
  • Process Design
  • Modelling and Simulation of Micro and Nano Systems
  • Multiscale modelling
  • Process Control applied to micro and nano systems
  • Computation-based tools
  • Model uncertainty
  • Nanotechnology
  • Development of multi-scale models
  • Industry-relevant catalytic processes
  • CO2 capture technologies
  • Process systems engineering
  • Dynamic optimization under uncertainty
  • Optimal integration of design control and scheduling
  • Modelling simulation and optimization of advanced energy and CO2 capture systems
  • Multiscale process systems


  • 2008, Doctorate, Chemical Engineering, University of Waterloo
  • 2000, Master of Science, Chemical Engineering, Instituto Tecnologico de Celaya
  • 1997, Bachelor's degree in Chemical Engineering, Chemical Engineering, Instituto Tecnologico de Orizaba

Selected/Recent Publications

  • Zheng H, Ricardez-Sandoval L, Budman H, Robust estimation and economic predictive control for dynamic flux systems under probabilistic uncertainty, Computers and Chemical Engineering, 140, 2020
  • *Kimaev G., Ricardez-Sandoval L.(2017). A comparison of efficient uncertainty quantification techniques for stochastic multiscale systems. AIChE Journal. 63: 3361-3373 (Accepted in 2017)
  • *Chaffart D., Ricardez-Sandoval L.(2017). Robust Optimization of a Multiscale Catalytic Reactor System with Spatially-Varying Uncertainty Descriptions using Polynomial Chaos Expansions. Canadian Journal of Chemical Engineering. (Accepted in 2017)
  • A multitasking continuous time formulation for short-term scheduling of operations in multipurpose plants (Accepted in 2017)
  • *Lagzi S., *Yeon Lee D., Fukasawa R., Ricardez-Sandoval L.(2017). A computational study of continuous and discrete time formulations for short-term scheduling of operations in multipurpose plants. Industrial & Engineering Chemistry Research. 56: 8940–8953 (Accepted in 2017)
  • *Koller R., Ricardez-Sandoval L.(2017). A Dynamic Optimization Framework for Integration of Design, Control and Scheduling of Multi-product Chemical Processes under Disturbance and Uncertainty. Computers & Chemical Engineering. 106: 147-159 (Accepted in 2017)
  • Chansomwong, Atchariya and Douglas, Peter L and Croiset, Eric and Zanganeh, Kourosh and Shafeen, Ahmed and Ricardez-Sandoval, Luis, Control of An Oxy-fuel Capture and Purification Unit For Coal-Based Power Plants, Energy Procedia, 63, 2014, 476 - 483
  • Harun, Noorlisa and Nittaya, Thanita and Douglas, Peter L and Croiset, Eric and Ricardez-Sandoval, Luis A, Dynamic simulation of MEA absorption process for CO2 capture from power plants, International Journal of Greenhouse Gas Control, 10, 2012, 295 - 309
  • Harun, Noorlisa and Douglas, Peter L and Ricardez-Sandoval, Luis and Croiset, Eric, Dynamic simulation of MEA absorption processes for CO2 capture from fossil fuel power plant, Energy Procedia, 4, 2011, 1478 - 1485