Welcome!
As part of the McMaster Advanced Control Consortium (MACC) at McMaster University, we develop numerical methods to address challenging problems in chemical process optimization. Find out more about who we are, what we do, and where to find our work, and check out our publicly available implementations on GitHub.
We have openings for highly motivated graduate students with strong backgrounds in optimization, applied mathematics, and/or coding. If you are interested in working with us, please email Kamil Khan (kamilkhan@mcmaster.ca) with your CV and transcript.
If you are a current undergraduate student at McMaster who is interested in optimization, coding, and process systems engineering, feel free to contact Dr. Khan to discuss summer research opportunities. Among McMaster's chemical engineering courses, our work is closest to CHEMENG 4G03 and CHEMENG 2E04.