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World of Statistics  
   
 

Sandra Cristina Faria Ramos
PhD. in Probability and Statistics (University of Lisbon)

Professor Adjunto
Departamento de Matemática
Instituto Superior de Engenharia do Porto - IPP
Rua Dr. António Bernardino de Almeida, 431
4200-072 Porto

  • Gabinete: H417
  • Telefone (directo): +351 228340500 (ext. 1573)
  • Telefone: +351 228340500
  • FAX: +351 228321159
  • e-mail: sfr@isep.ipp.pt
  • Página Pessoal: sfr@isep.ipp.pt

Sandra Cristina Faria Ramos
Educação:
  • PhD., Probability and Statistics, University of Lisbon, Faculty of Sciences of Lisbon, 2010
  • M.Sc., Statistics, University of Porto, Faculty of Sciences of Porto, 2003
  • B.Sc., Applied Mathematics, University of Porto, Faculty of Sciences of Porto, 2001
Investigação: Assuntos de interesse:
  • Bayesian statistics
  • Non-parametric Bayesian Methods
  • Optimal Screening
  • Statistics in Medicine
  • Statistics in Engineering
Outras actividades Profissionais:
  • Adjoint Professor, Department of Mathematics, Instituto Superior de Engenharia do Porto, since 2010
  • Assistant Professor, Department of Mathematics, Instituto Superior de Engenharia do Porto, 2003-2010
  • Assistant Professor, School of Nursing Santa Maria, 2005-2008
  • Assistant Professor, Department of Applied Mathematics of Faculty of Sciences, University of Porto, 2001-2003
Disciplinas leccionadas:
  • Reliability, M.Sc. in Engineering
  • Experimental Statistics and Data Analysis, M.Sc. in Engineering
  • Statistics, B. Sc. in Engineering
  • Biostatistics, B. Sc. Nursing
  • Probability and Statistics and Data Analisys, B. Sc. in Applied Mathematics
  • Mathematics I, Mathematics II and Mathematics III B. Sc. in Engineering
Publicações mais recentes:
  • Paula Paíga, Lúcia H.M.L.M. Santos, Sandra Ramos, Sandra Jorge, Jaime Gabriel Silva, Cristina Delerue-Matos (2016). Presence of pharmaceuticals in the Lis river (Portugal): Sources, fate and seasonal variation. Science of the Total Environment 573, pp 164-177.
     
  • Rede D, Santos LH, Ramos S, Oliva-Teles F, Antão C, Sousa SR, Delerue-Matos C (2016). Ecotoxicological impact of two soil remediation treatments in Lactuca sativa seeds. Chemosphere, 159, pp: 193-198.
     
  • Lolic A, Paíga P, Santos LH, Ramos S, Correia M, Delerue-Matos C (2015). Assessment of non-steroidal anti-inflammatory and analgesic pharmaceuticals in seawaters of North of Portugal: occurrence and environmental risk. Sci Total Environ, 1;508, pp: 240-50.
     
  • Sandra Ramos , Maria Antónia Amaral Turkman, Marília Antunes (2013). Semi-parametric Building of the Optimal Screening Region in Supervised Classification. Chapter: Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications. Part of the series Studies in Theoretical and Applied Statistics, pp: 391-399.

     
  • Sandra Ramos, Antónia Amaral Turkman, Marília Antunes (2010). Bayesian classification for bivariate normal gene expression. Computational Statistics and Data, vol 54, pp 2012-2010.
     
Outras Publicações relevantes:
  • Marta Oliveira, Susana Casal, Simone Morais, Cláudia Alves, Filipa Dias, Sandra Ramos, Eulália Mendes, Cristina Delerue-Matos, M. Beatriz P.P. Oliveira (2012). Intra- and interspecific mineral composition variability of commercial instant coffees and coffee substitutes: Contribution to mineral intake. Food Chemistry, 130, pp: 3702–3709.
     
  • Jorge M. Santos, Sandra Ramos (2011). Using a clustering similarity measure for feature selection in high dimensional data sets. Conference paper: Intelligent Systems Design and Applications (ISDA). DOI: 10.1109/ISDA.2010.5687073.
     
  • Sandra Ramos, Antónia Amaral Turkman e Marília Antunes (2008). Optimal Screening Methods in Gene Expression Profiles Classification. In Proceedings in Computational Statistics 2008. Physica - Verlag Heidelberg, vol II, part III, pp 134-144.
     
  • Luis Moura; Sandra Ramos et al (2007). Rosuvastatin affecting aortic valve endothelium to slow the progression of aortic stenosis. Journal of American College of Cardiology, vol 49, nº 5, pp 554-61.
     

 

     
 
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