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Dr John Mc Coy
Postdoctoral Fellow

Short Bio

Postdoctoral Fellow
Department of Process Engineering, Stellenbosch University
Research lead: Dr Lidia Auret
Machine learning applications to minerals processing
2017-present

Process Engineer (Plant Support, Project Support)
Sasol Synfuels Operations, Sasol Chemical Industries
Gasification and Power Station Plant Support
Ethylene/Propylene value chain Project Support
2013-2016

PhD (Polymer reaction engineering, dynamic reactor modelling)
Department of Chemical Engineering, UCT
Supervisor: Prof Randhir Rawatlal (now at University of KwaZulu Natal)
Cosupervisor: Prof Joao BP Soares (at University of Waterloo, Canada; currently at University of Alberta, Canada)
Thesis title: Development of a computationally efficient model for the control of Ziegler-Natta catalysed industrial production of high density polyethylene
2009-2016

BSc (Chem Eng)
Department of Chemical Engineering, UCT
2005-2008

Research Interests

Research interests
Polymer reaction engineering
Dynamic reactor modelling
Residence time distributions
Population balance modelling
Machine learning
Statistical learning

Selected Publications

McCoy, J.T. & Rawatlal, R. A more efficient simulator of particle size distribution in slurry phase polyolefin systems. Computers & Chemical Engineering, 2012, 36, 68-78. http://dx.doi.org/10.1016/j.compchemeng.2011.06.003

McCoy, J.T. & Rawatlal, R. Another look at site heterogeneity in Ziegler-Natta catalysts for polyolefin production. Macromolecular Symposia, 2012, 313-314, 19-32. http://dx.doi.org/10.1002/masy.201250303

McCoy, J.T., Soares, J.B.P. & Rawatlal, R. Analysis of slurry-phase co-polymerisation of ethylene and 1-butene by Ziegler-Natta catalysts Part 1: Experimental activity profiles. Macromolecular Reaction Engineering, 2013, 7(8), 350-361. http://dx.doi.org/10.1002/mren.201200078