Rate My Professor Mike Chappell

Chappell's research specializations focus on modelling and analysis of biomedical, pharmacokinetic, and biological processes, with emphasis on compartmental modelling and techniques from system dynamics, non-linear systems, control theory, and system identification. He possesses particular expertise in structural identifiability analysis to determine if model parameters can be estimated from perfect data, utilizing computer algebra for non-linear systems, and robust simulation of stiff systems. Additional expertise includes systems pharmacology, motion capture and modelling, biomechanics, epidemiological modelling, identifiability and inference, and data analytics. He received the 2001 Snell Premium from the Institute of Electrical Engineers for a paper on wavelet analysis of heart rate variability applied to sleep apnoea detection. Key publications encompass 'Detection of melatonin-onset in real settings via wearable sensors and artificial intelligence: a pilot study' (2021, Biomedical Signal Processing and Control), 'Substrate and stereochemical control of peptidoglycan cross-linking by transpeptidation by Escherichia coli PBP1B' (2020, Journal of the American Chemical Society), 'Input-dependent structural identifiability of nonlinear systems' (2019, IEEE Control Systems Letters), 'Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models' (2019, CPT: pharmacometrics & systems pharmacology), and 'Parameter identification for a model of neonatal Fc receptor-mediated recycling of endogenous immunoglobulin G in humans' (2019, Frontiers in Immunology). His research involves collaborations with academic, industrial, and hospital-based groups, funded by EPSRC, BBSRC, and MRC.