Queen’s University
Chemical process industries use data and mathematical models for key business purposes including:
– design of manufacturing processes and products;
– scale-up of inventions;
– selecting production strategies; and
– process automation.
Models and data are used to bring new products to market and to improve safety, quality, environmental compliance, and profits.
Our lab works with the private sector to develop models for their specific processes and business needs, including optimizing operating conditions, developing control schemes that make effective use of data, and developing methodologies for planning experiments to assess uncertainties associated with model predictions and associated business decisions.
Partners are companies that produce fuels, materials, pharmaceuticals, waste treatment technologies, and biomedical devices. Students trained in the lab develop skills in modelling, optimization, statistics, and control that are needed in industry, and will have an understanding of challenges faced by companies as they implement more sustainable green-chemistry and bio-based technologies.
Industry Partners
Lab Team
Thomas Adams
McMaster University
Hector Budman
University of Waterloo
Bahman Gharesifard
Queen’s University
Martin Guay
Queen’s University
Nick Hudon
Queen’s University
Devon Lin
Queen’s University
Xiang Li
Queen’s University
Jim McLellan
Queen’s University
Luis Ricardez Sandoval
University of Waterloo
Chris Swartz
McMaster University
Simant Upretti
Ryerson University
Serdar Yuksel
Queen’s University
Postdocs and Graduate Trainees
Kaveh Abd
PhD Candidate, Queen’s University
Jennifer Aiello
PhD Candidate, Queen’s University
Seyedabbas Alavi
PhD Candidate, Queen’s University
Ilse Cerrillo Briones
Master’s Candidate, University of Waterloo
Mariana Carvalho
PhD Candidate, University of Waterloo
Xin Cheng
PhD Candidate, Queen’s University
Linyang Deng
PhD Candidate, McMaster University
Daniela Dering
Master’s Candidate, McMaster University
Yurong Diao
PhD Candidate, McMaster University
Debaprasad Dutta
Master’s Candidate, Ryerson University
Judith Ebegbulem
PhD candidate, Queen’s University
Mohammad Jahvani
PhD Candidate, Queen’s University
Kody Kazda
PhD Candidate, Queen’s University
Grigoriy Kimaev
PhD Candidate, University of Waterloo
Haoxiang Lai
PhD Candidate, McMaster University
Do Yeon Lee
Master’s Candidate, University of Waterloo
Yi Ping Lin
Master’s Candidate, Ryerson University
Abby Qiujun Liu
PhD Candidate, Queen’s University
Marco Lucio
Master’s Candidate, University of Waterloo
Pranav Madabhushi
PhD candidate, McMaster University
Lloyd Mackinnon
PhD Candidate, McMaster University
Pulkit Mathur
PhD Candidate, McMaster University
Kavitha Menon
PhD Candidate, University of Waterloo
Seyedmoein Mousavi
PhD Candidate, McMaster University
Mina Naieini
PhD Candidate, McMaster University
Ikenna Okeke
PhD Candidate, McMaster University
Anthony Quarshie
Master’s Candidate, McMaster University
Mina Rafiei
PhD Candidate, University of Waterloo
Praveen Ramesh
Master’s Candidate, McMaster University
Bohua Ren
PhD Candidate, University of Waterloo
Ali Shahmohammadi
PhD Candidate, Queen’s University
Xin Shen
PhD Candidate, University of Waterloo
Mandy Smith
Master’s Candidate, Queen’s University
Zachariah Stevenson
Master’s Candidate, University of Waterloo
Manuel Teyeda
Master’s Candidate, University of Waterloo
Yael Valdez-Navarro
PhD Candidate, University of Waterloo
Mahshad Valipour
PhD Candidate, University of Waterloo
Jim Wang
PhD Candidate, McMaster University
Mia Wang
Master’s Candidate, Queen’s University
Huabei You
Master’s Candidate, University of Waterloo
Yue Yuan
PhD Candidate, University of Waterloo
Honghao Zheng
Master’s Candidate, University of Waterloo