Members > PhD Members

Conceição Amado

Institutional Address

Instituto Superior Técnico (IST)
Av. Rovisco Pais 1
1049-001 LISBOA


Phone: +351 218417045 | Email: camado@math.ist.utl.pt

Position

Assistant Professor, Instituto Superior Técnico, University of Lisbon

Area

Statistics and Stochastic Processes

Principal Area

Multivariate analysis, robust methods

Other Area

Applied statistics, data mining

Qualifications

  • PhD in Mathematics, IST, UTL, 2004
  • Master in Statistics and Operational Research, FCL, UL,1994

Publications

Papers in International Journals

Barrela, Rui; Amado, Conceição; Loureiro, Dalia; Mamade, Aisha (2017) Data reconstruction of flow time series in water distribution systems - a new method that accommodates multiple seasonality. JOURNAL OF HYDROINFORMATICS: 19 (2).
Santos, P.; Leitão, J. P.; Coelho, S.; Amado, Conceição (2017) Stochastic data mining tools for pipe blockage failure prediction. Urban Water Journal: 14 (4), 343-353.
Sutherland, L. S.; Amado, Conceição; Guedes Soares, C. (2017) Statistical experimental design techniques to investigate the strength of adhesively bonded T-joints. COMPOSITE STRUCTURES: 159.
Marchionni, V. ; Cabral, M.; Amado, Conceição; Covas, D. (2016) Estimating water supply infrastructure cost using regression techniques. Journal of Water Resources Planning and Management: 142(4).
Cabral, M. ; Mamade, A. ; Loureiro, D.; Amado, Conceição; Covas, D. (2016) Modeling the effect of weather conditions on urban water demand in multiple network areas: a practical approach to improve monthly and seasonal operation. Journal of Water Supply: Research and Technology - Aqua: 65(8), 612-625.
Loureiro, D. ; Mamade, A. ; Cabral, M. ; Amado, Conceição; Covas, D.  (2016) A Comprehensive Approach for Spatial and Temporal Water Demand Profiling to Improve Management in Network Areas. Water Resources Management: 30(10), 3443–3457.
Loureiro, D.; Amado, Conceição; Martins, A.; Vitorino, D; Coelho, ST (2016) Water distribution systems flow monitoring and anomalous event detection: a practical approach. Urban Water Journal: 13 (3), 242-252.
Amado, Conceição; Bianco, Ana M.; Boente, Graciela; Pires, Ana M. (2014) Robust Bootstrap: An Alternative to Bootstrapping Robust Estimators. REVSTAT – Statistical Journal: 12(2), 169-197.
Martins, Andre; Leitao, Joao Paulo; Amado, Conceição (2013) Comparative Study of Three Stochastic Models for Prediction of Pipe Failures in Water Supply Systems. Journal of Infrastructure Systems: 19(4), 442-450.
Pires, Ana M.; Amado, Conceição (2008) Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. Revstat-Statistical Journal: 6(2), 165-197.
Amado, Conceição; Pires, Ana M. (2004)  Robust bootstrap with non-random weights based on the influence function. Communications in Statistics, Simulation and Computation: 33, 2, 377-396.

Papers or Chapters in Edited Books

Amado, Conceição; Pires, Ana M. (1999) A utilização da função de influência para melhorar o desempenho do método de reamostragem bootstrap. Afirmar a Estatística, um desafio para o século XXI. Carlos Daniel Paulino, António Pacheco, Ana Pires e Ferreira da Cunha(eds.). Edições SPE, Lisboa., 91-99.
Amado, Conceição; Pires, Ana M. (1998)  Uso de técnicas de reamostragem para selecção de variáveis em análise discriminante.. Estatística: a diversidade na unidade. M. Souto de Miranda e I. Pereira (eds.). Novas Tecnologias/Estatística, Edições Salamandra, Lisboa., 247-253.

Communications in Conference Proceedings

Rita Alves; Pedro Galvão; Adélio Silva; Pedro Póvoa ; Dídia Covas ; Amado, Conceição (2017) DECISION-MAKING SUPPLY PLANS BY PROVISION OF CONSUMPTIONS IN SUPPLY SYSTEMS (in Portuguese). In ENEG 2017, Encontro Nacional de Entidades Gestoras de Água e Saneamento, held in Évora, on 21-24 November 2017. .
Pereira, Susana; Heitor, Teresa; Costa, Nuno; Amado, Conceição (2017) Take the healthy route: the weight of micro-scale built environment features on urban. In 14th International Conference on Urban Health, held in Coimbra on 26-29 September 2017.
Cabral, M.; Loureiro, D. ; Silva, M. ; Mamade, A.; Amado, Conceição (2016) An automated approach for flow time-series classification in water distribution systems. Proceedings 14th International CCWI Conference (Computing and Control for the Water Industry), 7-9 November 2016, Amsterdam, The Netherlands..
Almeida, S.; Correia, T.; Casimiro, R.; Amado, Conceição; Lança, R. ; Caetano, J.; Covas, D.; Silvestre, I. (2016) Avaliação da condição estrutural do sistema de drenagem de águas residuais com base em análise de risco e inspeção CCTV. 17º Encontro de Engenharia Sanitária e Ambiental (ENASB), 14-16 September 2016, Guimarães, Portugal.
Almeida, S.; Amado, Conceição; Caetano, J.; Casimiro, R.; Correia, T.; Covas, D.; Silvestre, I. (2016) Condition assessment of wastewater drainage systems: Cluster analysis and random Forest. Proceedings 14th International CCWI Conference (Computing and Control for the Water Industry), 7-9 November 2016, Amsterdam, Netherlands .
Valentina Marchionni; Marta Cabral ; Amado, Conceição; Dídia Covas (2015) Water Supply Infrastructure Cost Modelling. Procedia Engineering: 119, 168 – 173.
Vitorino, D.; Coelho, S.; Sheets, S.; Jurkovac, B.; Santos, P.; Amado, Conceição (2014) A Random Forest algorithm applied to condition based wastewater deterioration modeling and forecasting. Procedia Engineering (Proceedings of the 16th Conference on Water Distribution System Analysis (WDSA 2014), 14 - 17 July, Bari, Italy): 89, 401–410.
Carrasquinha, E.; Amado, Conceição; Pires, Ana M. (2014) Robust bootstrap confidence intervals: an application study for denoising images. Proceedings of the 14-th International Conference of Computational Science and its Applications (ICCSA 2014), June 30 - July 3, Guimarães, 181-185.
Mamade, A.; Loureiro, D; Covas, D; Coelho, S; Amado, Conceição (2014) Spatial and Temporal Forecasting of Water Consumption at the DMA Level Using Extensive Measurements. Procedia Engineering. Proceedings of 12th International Conference on Computing and Control for the Water Industry, CCWI2013: 70, 1063–1073.
Souto de Miranda, M.; Amado, Conceição; Silva, M. (2014) Robust profiling of Site Index. Proceedings of the 21st International Conference on Computational Statistics (COMPSTAT 2014), Geneva, Switzerland.
Loureiro, D.; Borba, R; Rebelo, M.; Alegre, H.; Coelho, S.; Covas, D.; Amado, Conceição; Pacheco, António; Pina, A. (2009) Analysis of household night consumption. Proceedings of the CCWI 2009 conference, Integrating Water Systems, CRC Press, Londres, Reino Unido: ISBN 978-0-415-54851-9, 557-56.
Amado, Conceição; Pires, Ana M. (2000) Robust bootstrapping using influence functions. In Jansen, W. e Bethlehem, J. G. (editores) Proceedings in Computational Statistics 2000: Short Communications and Posters, Statistics Netherlands, Voorburg,, 83-84.

Thesis

Amado, Conceição (2004) Robust Bootstrap based on influence function. (In Portuguese). Bootstrap Robusto com base na Função de Influência. PhD Thesis, Instituto Superior Técnico, UTL, Lisboa. Superviser: Ana M. Pires.
Amado, Conceição (1994) Sequenciamento das ordens de corte de papel: Modelo matemático e heurísticas. Master Thesis, Faculdade de Ciências , UL, Lisboa. Superviser: J. M. Pinto Paixão.

Papers in National Scientific Journals

Amado, Conceição (2017) Estatística: espelho meu, espelho meu que futuro terei eu?. Bulletin of the Portuguese Statistical Society: Autumn issue.
Amado, Conceição; Pires, Ana M. (2010) Gráficos em R - uma breve introdução. Boletim Informativo da SPE: 1, 52-62.
Pires, Ana M.; Amado, Conceição (2010) Analistas de dados seduzidos pelas potencialidades do R. Boletim Informativo da SPE: 2, 56-58.