Marco Paulo Seabra dos Reis
PhD in Chemical Engineering, University of Coimbra
Diploma in Chemical Engineering, University of Coimbra
Quality systems engineering
Management & entrepreneurship
Advanced modelling and simulation methodologies
Signal and Image Analysis and Processing
Process Improvement Management
|Process Systems Engineering Group (GEPSI)|
Industrial Statistics (Multivariate data analysis, SPC, DOE, Measurement uncertainty and uncertainty propagation)
Process Systems Engineering (fault detection & diagnosis, process monitoring, modeling and control)
Data-Driven Multiscale Methodologies (applications in process monitoring, system identification, image analysis, pattern recognition)
Image Analysis (MIA)
Quality Improvement (Lean, Six Sigma, TOC)
Pulp and Paper Technology (Dimensional stability, Curl of paper and paperboard)
Funded research projects
“Finding the naturally evolved design principles of prevalent metabolic circuits” (PTDC/QUI-BIQ/119657/2010)
Development of an integrated framework for monitoring and control of complex industrial and biologic systems using advanced partial-correlation and information-theoretic approaches (PTDC/EQU-ESI/108374/2008)
Development of an unified framework for the integrated multivariate and multiscale monitoring of profiles (PTDC/EQU-ESI/108597/2008)
PILLS - "Process Intensification methodologies applied to Liquid-Liquid Systems in structured equipment"
Reis, M.S., An integrated multiscale and multivariate image analysis framework for process monitoring of colour random textures: MSMIA. Chemometrics and Intelligent Laboratory Systems. 142 (2015), p. 36-48.
Rato, T.J., M.S. Reis, On-line process monitoring using local measures of association. Part I: Detection performance. Chemometrics and Intelligent Laboratory Systems. 142 (2015), p. 255-264.
Rato, T.J., M.S. Reis, On-line process monitoring using local measures of association. Part II: Design issues and fault diagnosis. Chemometrics and Intelligent Laboratory Systems. 142 (2015), p. 265-275.
Reis, M.S., Multivariate image analysis. Editado por Granato, D., Ares, G. Mathematical and Statistical Methods in Food Science and Technology. Chichester: Wiley-Blackwell, 2014, p. 201-218. ISBN: 978-1-118-43368-3
Rato, T.J., M.S. Reis, Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR). Chemometrics and Intelligent Laboratory Systems. 125 (2013), p. 101-108.
Reis, M.S., Network-Induced Supervised Learning: Network-Induced Classification (NI-C) and Network-Induced Regression (NI-R). AIChE Journal. 59(5) (2013), p. 1570-1587.
Pereira, A.C., M.S. Reis, P.M. Saraiva, J.C. Marques, Development of a fast and reliable method for long- and short-term wine age prediction. Talanta. 86 (2011), p. 293-304
Pereira, A. C., Reis, M. S., Saraiva, P. M., & Marques, J. C. (2010b). Aroma ageing trends in gc/ms profiles of liqueur wines. Analytica Chimica Acta, 660, 8-21
M. S., Bakshi, B. R., & Saraiva, P. M. (2009). Denoising and signal to
noise enhancement: Wavelet transform and fourier transform. In S. T. Ed. by
Brown, R.; Walczak, R. (Ed.), Comprehensive chemometrics: Chemical and
biochemical data analysis (Vol. 2, pp. 25-55). Oxford: Elsevier.
Reis, M.S. & Bauer, A. (2009). Wavelet texture analysis of on-line acquired images for paper formation assessment and monitoring. Chemometrics and Intelligent Laboratory Systems. 95(2): p. 129-137.
Rato. Desenvolvimento de Plataformas Integradas para
Monitorização, Análise e Controlo de Sistemas Complexos. PhD thesis, 2014.
Ricardo Rendall (PhD student). A multiresolution and megavariate platform for batch process monitoring and soft sensor development (ongoing)
Campos (PhD student). Multiblock methods for handling complex
data structures in industry (ongoing)
Sílvia Carvalho dos Santos Rocha. Lean Seis Sigma no Turismo: O Caso da Indústria Hoteleira Portuguesa. MSc thesis, 2014.
Gonçalo Dordio Martinho de Almeida Urbano, Implementação da Metodologia Seis Sigma numa Indústria Cerâmica Portuguesa. MSc thesis, 2008.
ORCID ID: 0000-0002-4997-8865
Process Chemometrics Laboratory (http://www.eq.uc.pt/~marco/research/pclab/)