Artificial neural networks in process estimation and control. - Mark J. Willis; Gary A. Montague; Christine Di Massimo; Ming T. Tham; Anthony Julian Morris (Autom., 1992)

Dynamic Chemical Process Modelling Using a Multiple Basis Function Genetic Programming Algorithm. - Mark P. Hinchliffe; Mark J. Willis; Ming T. Tham (GECCO, 1999)

Predictive Scheduling of a Bioprocess Plant. - Susan Lau; Mark J. Willis; Gary A. Montague; Jarka Glassey (Modelling, Simulation, and Optimization, 2003)

Dynamic systems modelling using genetic programming. - Mark P. Hinchliffe; Mark J. Willis (Comput. Chem. Eng., 2003)

Application of Agent-Based System for Bioprocess Description and Process Improvement. - Ying Gao; Katie Kipling; Jarka Glassey; Mark J. Willis; Gary A. Montague; Yuhong Zhou; Nigel John Titchener-Hooker (KES (2), 2008)

Reverse Engineering Chemical Reaction Networks from Time Series Data. - Dominic P. Searson; Mark J. Willis; Allen R. Wright (CoRR, 2014)

Inference of chemical reaction networks using mixed integer linear programming. - Mark J. Willis; Moritz von Stosch (Comput. Chem. Eng., 2016)

Integrated real-time production scheduling of a multiple cryogenic air separation unit and compressor plant. - Richard Adamson; Martin Hobbs; Andy Silcock; Mark J. Willis (Comput. Chem. Eng., 2017)

Simultaneous parameter identification and discrimination of the nonparametric structure of hybrid semi-parametric models. - Mark J. Willis; Moritz von Stosch (Comput. Chem. Eng., 2017)

Computational approaches to kinetic model selection. - Joaquim Tsu; Víctor Hugo Grisales Díaz; Mark J. Willis (Comput. Chem. Eng., 2019)