• Associate Professor with Habilitation at the Department of Mathematics of Minho University.
• Member of the Centre of Mathematics CMAT and collaborator of the Center of Statistics and Applications CEAUL.

• Main Lectures / Classes 
  Spatio-temporal statistical modelling (MSc in Statistics)
  Introduction to statistics and probability (MSc in Statistics)
  Lineares models and Generalized LM (MSc in Statistics)
  Stochastic processes
  Time series
  Design of experiments
  Introduction to statistics for engineering

• Contact
  Tel.:  +351 253510430/400
  Fax:  +351 253510401
  Email:  rmenezes (at) math.uminho.pt
  Snail:  Departamento de Matemática, Universidade do Minho, Campus de Azurém, 4800-058 Guimarães, Portugal

• Habilitation (provas de agregação) in 'Sciences / Mathematics', Minho University, March 2021.
• PhD in 'Mathematics / Statistics', Santiago de Compostela University, December 2005.
• Postgraduate studies in 'Statistics' (DEA-Diploma de Estudios Avanzados), Santiago de Compostela University, September 2002.
• MSc in 'Computer Science', Minho University, June 1996.
• BSc in 'Applied Mathematics / Computer Science', Porto University, July 1989.

Publications in ISI journals

• A.Garcia-Agundez, O.Ojo, H.Hernandez, C.Baquero, D.Frey, Ch.Georgiou, M.Goessens, R.Lillo, R.Menezes, N.Nicolaou, A.Ortega, E.Stavrakis, A.Fernandez Anta (2021). Estimating the COVID- 19 Prevalence in Spain with Indirect Reporting via Open Surveys. Frontiers in Pubic Health, Apr 2021, https://doi.org/10.3389/fpubh.2021.658544  
• A.Monteiro, R.Menezes, M.E.Silva (2020). Modelling informative time points: an evolutionary process approach. Test, https://doi.org/10.1007/s11749-020-00722-2.
• A.Neco, R.Menezes, S.Faria and P.Afonso (2020). Mixed-effects modelling for crossed and nested data: an analysis of dengue fever in the state of Goiás, Brazil. Journal of Applied Statistics, vol 47, issue 13–15, 2912–2926.
• A.Monteiro, R.Menezes and M.E.Silva (2020). Modelling Irregularly Spaced Time Series Under Preferential Sampling. Revstat Statistical Journal, vol 18, n 5, 661-672.
• A.Monteiro, R.Menezes and M.E.Silva (2019). Modelling preferential sampling in time. Boletín de Estadística e Investigacíon Operativa, Novembro 2019, vol 35, n 3, 180-196. ISSN: 2387-1725.
• L.Margalho, R.Menezes and I.Sousa (2019). Modelling environmental monitoring data coming from different surveys. South African Statistical Journal, vol 53 (1), 35-54.
• G.Kelly and R.Menezes (2018). A simulation comparison of estimators of spatial covariance parameters and associated bootstrap percentiles. Journal of Environmental Statistics, vol 8, issue 6, 1-21.
• D.Noy and R.Menezes (2018). Parameter Estimation of the Linear Phase Correction Model by Mixed-Effects Models. Journal of Mathematical Psychology, vol 84, 1-12.
• C.Oliveira, D.Martinez, A. Al-Rjoub, L.Rebouta, R.Menezes and L.Cunha (2018). Development of a statistical method to help evaluating the transparency/opacity of decorative thin films. Journal of Applied Surface Science, vol 438, 51-58.
• J.Mateu, R.M.Crujeiras, R.Menezes and F. Montes (2017). Spatio-temporal statistical methods in environmental and biometrical problems. Spatial Statistics, editorial letter, vol 22, 219-224.
• A.Monteiro, R.Menezes and M.E.Silva (2017). Modelling spatio-temporal data with multiple seasonalities: the NO2 Portuguese case. Spatial Statistics journal, vol 22, part 2, 371-387. (DOI 10.1016/j.spasta.2017.04.005).
• P.Garcia-Soidán and R.Menezes (2017). Non-parametric construction of probability maps under local stationarity. Environmetrics, vol 28, issue 3 (DOI 10.1002/env.2438).
• R.Menezes, H.Piairo, P.Garcia-Soidán and I.Sousa (2016). Spatial-temporal modellization of the NO2 concentration data through geostatistical tools. Journal of Statistical Methods & Applications, vol 25, issue 1, 107-124.
• H.Piairo, R.Menezes, I.Sousa, R.Figueira and C.Sergio (2014). Spatial modelling of factor analysis scores. The case of heavy metals biomonitoring in mainland Portugal. Environmental Science and Pollution Research, Volume 21, Issue 23, pp 13420-13433.
• R.Menezes and A. Manuela Goncalves (2014). Spatio-temporal stochastic modelling (METMAVI). Stochastic Environmental Research and Risk Assessment, editorial letter, vol 28, issue 5, 1167-1169.
• Held, L., Menezes R. and Sousa, I. (2014), METMAVI -VIth International Workshop on Spatio-Temporal Modelling. Biometrical Journal, editorial letter, 56: 361-362. doi: 10.1002/bimj.201400015.
• L.Margalho, R.Menezes and I.Sousa (2014). Assessing interpolation errors under a spatio-temporal model. Journal of Stochastic Environmental Research and Risk Assessment, vol 28, issue 5, 1307-1321 (DOI 10.1007/s00477-013-0826-7).
• P.Garcia-Soidán, R.Menezes and O.Rubinos-Lopez (2014). Bootstrap approaches for spatial data. Journal of Stochastic Environmental Research and Risk, vol 28, issue 5, 1207-1219 (DOI 10.1007/s00477-013- 0808-9).
• P.Garcia-Soidán and R.Menezes (2012). Estimation of the spatial distribution through the kernel indicator variogram. Environmetrics, vol 23, issue 6, 535-548.
• P.Garcia-Soidán, R.Menezes and O.Rubinos-Lopez (2012). An approach for valid covariance estimation via the Fourier series. Journal of Environmental Earth Sciences. Vol 6(2), 615-624. DOI: 10.1007/s12665-011-1269-4.
• C.Baquero, P.S.Almeida, R.Menezes and P.Jesus (2012). Extrema Propagation: Fast Distributed Estimation of Sums and Network Sizes. Journal of IEEE Transactions on Parallel and Distributed Systems, vol 23, no 4, 668-675, http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.209.
• R.Menezes, P.Garcia-Soidán and C.Ferreira (2010). Nonparametric spatial prediction under stochastic sampling design. Journal of Nonparametric Statistics, vol 22, issue 3, 363-377.
• P.Diggle, R.Menezes and Ting-Li Su (2010). Geostatistical Inference under Preferential Sampling (with discussion). Journal of Royal Statistics Society, series C, vol 59, part 2, 191-232 (RSS read paper).
• R.Menezes and J.Tawn (2009). Assessing the effect of biased and clustered sampling on variogram estimation. Environmetrics, vol 20, issue 4, 445-459.
• R.Menezes, P.Garcia-Soidán and M.Febrero-Bande (2008). A kernel variogram estimator for clustered data.  Scandinavian Journal of Statistics,  vol 35, issue 1,  18-37.
• R.Menezes, P.Garcia-Soidán and M.Febrero-Bande (2005). A comparison of approaches for valid variogram achievement. Computational Statistics, 20 (4), 623-642.

Communications in Conferences or Workshops

• R.Menezes, D.Silva and I.Figueiredo (2019). Spatial approaches to estimate Raja clavata abundance in Portuguese continental coast. XXIV Congresso Nacional da Sociedade Portuguesa de Estatística, November 6-9, 2019, Amarante.
• Invited talk at the III Portuguese-Galician Meeting of Biometry, EBio2018. University of Aveiro, 28-30 June 2018.
• Workshop on Inferential Challenges for Large Spatio-Temporal Data Structures. Banff International Research Station for Mathematical Innovation and Discovery, Vancouver, Canada, 3-8 Dec 2017.
• Invited talk at the 3rd conference of the International Society for Non-Parametric Statistics. Avignon, France, 11-16 June 2016.
• Invited talk at the 8th International Workshop on Spatio-Temporal Modelling. Valencia, Spain, 1-3 June 2016.
• Invited talk at the Statistics French Society Conference. Lille, France, 1-5 June 2015
• Invited talk at the Workshop Spatio-Temporal Statistics. Valencia, Spain, 13-15 July 2014.
• Invited talk at the 15th Annual conference of the International Association for Mathematical Geosciences. Madrid, Spain, 2-6 Sep 2013.
• Invited talk on 'Sampling design issues in environmental data'. 1st Southern European Conference on Survey Methodology (SESM), Barcelona, Spain, 12-14 December 2013 / 3rd Italian Conference on Survey Methodology, Milan, Italy, 26-28 June 2013.
• Invited talk on 'Assessing interpolation errors for space-time monitoring data'. 15th Annual conference of the International Association for Mathematical Geosciences, Madrid, Spain, 2-6 September 2013.
• R. Menezes (2013). Spatial representativeness issues in environmental monitoring networks. Congress of Spatial Statistics 2013, Ohio University, Columbus, USA, 5-7 June.
• Invited talk on 'Sampling Design Issues in Environmental Data'. Ecological and Environmental Statistical Modelling Symposium, Instituto Superior de Agronomia, Lisbon, Portugal, 11 April 2013
• Invited talk on 'Functional data analysis applied to environmental chlorophyll bio monitoring'. 4th Iberian Mathematical Meeting, Universidad de Valladolid, Spain, 4-6 October 2012
• Invited talk on 'Preferential Sampling in Environmental Monitoring'. Joint Meeting of yBIS and jSPE, Lisbon, July 23-26 2012
• R.Menezes, A.Castro, J.Arruda-Neto, J.Harari, M.Febrero-Bande (2012). Functional data analysis applied to environmental chlorophyll bio monitoring, 8th World Congress in Probability and Statistics, Istanbul, Turkey, 9-14 July.
• Invited talk on 'A Kernel Indicator Variogram and its Application to Groundwater Pollution Data'. Invited Paper Session on Stochastic modeling for water-related environmental problems, ISI2011 Conference. Dublin, Irland, August 2011.
• Invited talk on 'A Kernel Indicator Variogram and its Application to Environmental Data'. Half-day Workshop on Spatio-temporal Modelling organized by CEAUL, Lisbon University. Lisbon, Portugal, 11 January 2011
• R.Menezes (2010). Estimacao Nao-Parametrica do Variograma da Indicatriz, XVIII Annual Congress of the Portuguese Society of Statistics, Sao Pedro do Sul, Portugal, September 29-October 2.
• Invited talk on 'Geostatistics, Preferential Sampling and Environmental Monitoring'. 38th Annual Meeting of the Statistical Society of Canada. Quebec City, Canada, May 23-26, 2010.
• Invited talk on 'Geostatistics, Preferential sampling and Environmental Monitoring'. Workshop on Statistical Aspects of Environmental Risk, organized by SAMSI/SPRUCE. North Caroline, USA, April 2010.
• Before 2010

• Daniela Silva. Title of thesis: ‘Spatial and temporal modelling of species in fisheries and environmental sciences’. Supervisors: R.Menezes and S.Garrido. Minho University (in progress)
• Andreia Monteiro. Title of thesis: 'Contributions to Spatial and Temporal Modelling´. Supervisors: R.Menezes and M.E.Silva. Minho University (concluded in June 2019)
• Antonio Neco de Oliveira. Title of thesis: 'Modelacao por regressao incorporando dependencia espacial e temporal'. Supervisors: S.Faria and R.Menezes. Minho University (concluded in July 2018)
• Luis Manuel dos Santos de Melo Margalho. Title of thesis: 'Spatio-temporal modeling of environmental and health data'. Supervisors: R.Menezes and I.Sousa. Minho University (concluded in July 2015).
• Alrenice Cunha de Castro, PhD student from Sao Paulo University (Brazil) visiting Minho University under exchange CAPES program. Title of thesis: 'Caracterização funcional dos dados de biomonitoramento da produtividade biológica e temperatura da superfície do mar sobre o oceano atlântico sul e tropical'. Local supervisor: R.Menezes (concluded in April 2013).

• Mathematics and Statistics Department in Lancaster University, where I have partially developed the research work for my Doctoral thesis, under the supervision of Prof.Peter Diggle and Prof.Jonathan Tawn. My first visit  to this Department occurred in 2003, under an EU Marie Curie fellowship. 
• Statistics and Operational Research Department in Santiago de Compostela University, where I have been registered as a PhD student and where my official supervisor Prof.Manuel Febrero-Bande is a lecturer. My other official PhD supervisor was Prof.Pilar Garcia-Soidán from Vigo University.
• Mathematics Department in Aveiro University
• Where I have lectured Introdução à Estatística, Cálculo II and Introdução à Análise Numérica.
• With whom I have colaborated through Geometrix project.
• TISEP - Texas Instruments e Samsung Electronica Portugal, where I have worked for almost 10 years.
• Mathematics Department in Lusíada University.
• ISTEC - Instituto Superior de Tecnologias Avançadas do Porto.

Page creation at 1994. Last update at April 2021.