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José Pedro has, in 2022, taken up the role of Assistant Professor at Instituto Superior Técnico (IST) – University of Lisbon, being deeply invested in research, teaching, mentoring, and consulting. During his career, he has had the privilege and opportunity of reconciling research activities with consultancy work of high complexity and impact. He completed is M.Sc. in Civil Engineering in 2008, at IST, having specialized in Hydraulics and Water Resources. His dissertation, entitled “Using artificial neural networks to model the degradation of water supply systems” marked the start of a fruitful activity with strong emphasis on machine learning, optimization, statistics, and programming. Prior to 2008, José Pedro worked for nearly two years as a part-time engineer in sanitation projects. Following graduation, he broadened his experience in consulting by working for a utility company active in water distribution systems of several municipalities in Portugal and abroad. In 2009, he applied to the IST-EPFL (École Polytechnique Fédérale de Lausanne) joint doctoral program and was granted a scholarship by FCT. His Ph.D. research, undertaken in Portugal and Switzerland, led to the thesis entitled “Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques”. He was awarded a Doctorate in Civil and Environmental Engineering at EPFL, in 2014. During this period, he worked as a teaching assistant of probability and statistics and contributed to several other courses. Upon completion of the Ph.D., José Pedro was invited to join EPFL as a post-doc. From 2014 to 2017 he took part in three research projects (ADAPT-DB, STREST, and FLEXSTOR), covering topics of operational streamflow forecasting, risk assessment, and analysis of complex hydropower systems. While at EPFL, he also supervised several M.Sc. dissertations. In 2017 he joined Gruner-Stucky Ltd., a Swiss consulting company that is truly one of the world leaders in dam engineering. There, he participated in iconic projects such as the ongoing construction the Rogun dam (to become the highest in the world), the rehabilitation of the Kariba dam (holding the largest artificial reservoir in the world by volume), the Rehabilitation of the Nurek dam (the second highest in the world), or the operational inflow forecasting system for the Cahora Bassa dam. At Gruner-Stucky, he assumed the role of project manager, was appointed leader of the competence center for hydrology, and became deputy head of the hydropower schemes department. In parallel with his intensive consultancy activity at Gruner-Stucky, José Pedro continued participating in research projects (HYPOS and DIRT-X) and was invited by EPFL as an external lecturer, teaching Water Resources Management. At IST, José Pedro pursues his interests in hydrology and dam engineering with emphasis on hydraulics, risk analysis, and decision-making. He actively works in machine learning based operational hydrological forecasting, reservoir management and optimization, climate change impact assessments, and extreme value analyses. He presently supervises several students (M.Sc. and Ph.D.) and is member of CERIS. He was awarded the Alberto Abecassis Manzanares Award (IST, 2007), was nominated for the Asea Brown Boveri Ltd. (ABB) award (EPFL, 2014), and received an ex-eaquo honorable mention for the bi-annual Prize of the Portuguese Water Resources Association attributed to outstanding Ph.D. theses (2016).
Identificação

Identificação pessoal

Nome completo
José Pedro Gamito de Saldanha Calado Matos

Nomes de citação

  • Matos, José Pedro

Identificadores de autor

Ciência ID
A918-30B8-3F3E
ORCID iD
0000-0003-4592-1455

Endereços de correio eletrónico

  • jose.matos@epfl.ch (Profissional)

Domínios de atuação

  • Ciências Naturais - Ciências da Terra e do Ambiente - Hidrologia
  • Ciências da Engenharia e Tecnologias - Engenharia Civil

Idiomas

Idioma Conversação Leitura Escrita Compreensão Peer-review
Inglês Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Francês Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2) Utilizador proficiente (C2)
Português (Idioma materno)
Espanhol; Castelhano Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1)
Alemão Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1) Utilizador independente (B1)
Russo Utilizador elementar (A2) Utilizador elementar (A2) Utilizador elementar (A2) Utilizador elementar (A2) Utilizador elementar (A2)
Formação
Grau Classificação
2015 - 2015
Concluído
Scalable Machine learning - MOOC (Outros)
Especialização em Data science
edX. University of California, Berkley, Estados Unidos
Aprovado
2015 - 2015
Concluído
Introduction to Big Data with Apache Spark - MOOC (Outros)
Especialização em Data science
edX. University of California, Berkley, Estados Unidos
Aprovado
2009/10/01 - 2014/07/11
Concluído
Engenharia Civil e Ambiental (Doutoramento)
Especialização em Hidrologia
École Polytechnique Fédérale de Lausanne, Suiça

Universidade de Lisboa Instituto Superior Técnico, Portugal
"Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques" (TESE/DISSERTAÇÃO)
"Pass with distinction"
2014 - 2014
Concluído
Iniciação à programação orientada a objectos (Java) - MOOC (Outros)
Especialização em Informática
Coursera. École Polytechnique Fédérale de Lausane, Suiça
Aprovado
2014 - 2014
Concluído
Iniciação à programação (C++) - MOOC (Outros)
Especialização em Informática
Coursera. École Polytechnique Fédérale de Lausane, Suiça
Aprovado
2014 - 2014
Concluído
Statistical Inference - MOOC (Outros)
Especialização em Data science
Coursera. Johns Hopkins University, Estados Unidos
Aprovado
2014 - 2014
Concluído
R Programming - MOOC (Outros)
Especialização em Informática
Coursera. Johns Hopkins University, Estados Unidos
Aprovado
2014 - 2014
Concluído
An introduction to interactive programming in Python - MOOC (Outros)
Especialização em Informática
Coursera. Rice University, Estados Unidos
Aprovado
2014 - 2014
Concluído
Machine learning - MOOC (Outros)
Especialização em Data science
edX. Stanford, Estados Unidos
Aprovado
2006/09/01 - 2008/12/01
Concluído
Ciências de Engenharia - Engenharia Civil (Mestrado integrado)
Especialização em Hidráulica e Recursos Hídricos
Universidade de Lisboa Instituto Superior Técnico, Portugal
"Using artificial neural networks to model the degradation of water supply system" (TESE/DISSERTAÇÃO)
17/20
Percurso profissional

Ciência

Categoria Profissional
Instituição de acolhimento
Empregador
2014/03 - 2017/10 Pós-doutorado (Investigação) École Polytechnique Fédérale de Lausanne, Suiça
École Polytechnique Fédérale de Lausanne, Suiça

Docência no Ensino Superior

Categoria Profissional
Instituição de acolhimento
Empregador
2022/03/01 - Atual Professor Auxiliar (Docente Universitário) Universidade de Lisboa Instituto Superior Técnico, Portugal
Universidade de Lisboa Instituto Superior Técnico, Portugal
(...)
2021/02/21 - 2022/07/31 Professor Auxiliar Convidado (Docente Universitário) École Polytechnique Fédérale de Lausanne, Suiça
École Polytechnique Fédérale de Lausanne, Suiça

Outros

Categoria Profissional
Instituição de acolhimento
Empregador
2022/01 - 2022/02 Consultor independente - Hidrologia (tempo parcial) Stucky Ltd., Suiça
2017/08/15 - 2021/12/31 "Deputy head of departement: Hydropower Schemes". Responsável do Centro de Competências em Hidrologia. Chefe de Projecto. Consultor nas áreas de hidráulica, hidrologia, e alterações climáticas. Stucky Ltd., Suiça
2017/04 - 2017/10 Consultor independente - Hidrologia (tempo parcial) Hidra, Hidráulica e Ambiente, Lda., Portugal
2008/05/01 - 2009/09/04 Engenheiro Civil AGS, Administração e Gestão de Sistemas de Salubridade S.A., Portugal
2005/10/01 - 2008/04/30 Engenheiro Júnior (a tempo parcial) Hidra, Hidráulica e Ambiente, Lda., Portugal
Projetos

Projeto

Designação Financiadores
2021/11 - Atual SCORE - Smart Control of the Climate Resilience in European Coastal Cities
Grant Agreement 101003534 — SCORE — H2020-LC-CLA-2018-2019-2020 / H2020-LC-CLA-2020-2
Investigador
European Commission
2021/07 - Atual Dirt-X (Evaluating sediment Delivery Impacts on Reservoirs in changing climaTe and society aCROSS scales and sectors)
Membro do "Advisory Board"
JPI Climate
Em curso
2020/09 - Atual HYPOS (Estimation of sediment loads from Earth Observation satellites)
Investigador Pós-doutorado
European Commission
Em curso
2016/10 - 2017/10 FLEXSTOR (solutions for flexible operation of storage hydropower plants in changing environment and market conditions)
SCCER-SoE
Bolseiro de Pós-Doutoramento
École Polytechnique Fédérale de Lausanne, Suiça
Swiss Competence Center for Energy Research
Concluído
2014/03 - 2016/10 STREST (harmonized approach to stress tests for critical infrastructures against natural hazards)
Bolseiro de Pós-Doutoramento
European Commission
Concluído
2014/08 - 2016/08 African Dams Project - Database (Development of probabilistic forecasting tools. Web and database development)
ETHZ. Competence Center Environment and Sustainability
Bolseiro de Pós-Doutoramento
Eidgenössische Technische Hochschule Zürich Competence Center Environment And Sustainability
Concluído
2009/10 - 2013/09 African Dams Project
ETHZ. Competence Center Environment and Sustainability
Bolseiro de Doutoramento
Eidgenössische Technische Hochschule Zürich Competence Center Environment And Sustainability
Produções

Publicações

Artigo em conferência
  1. Cabral, Marta; Matos, José Pedro; Ana Pauseiro; Dídia Covas. Autor correspondente: Cabral, Marta. "Time Frequency Analysis of Anomalies in Water Distribution Networks Using Pressure Wave Signals". Trabalho apresentado em 8th IAHR Europe Congress, Lisbon, 2024.
    Aceite para publicação
  2. Rui Marinheiro; Matos, José Pedro; Matos, Jorge; sousa, vitor; Meireles, Inês; Manuel Mahunguana. "Modified discharge rating curve applicable under strong backwater effects due to nearby reservoirs". Trabalho apresentado em 8th IAHR Europe Congress, Lisbon, 2024.
    Aceite para publicação
  3. Cabral, Marta; Matos, José Pedro; Ana Silva; Jónatas Miguel de Almeida Valença; Isel Grau; Tiago Correia. Autor correspondente: Cabral, Marta. "AI-Anomaly Project: Condition Assessment of Urban Water Assets through the Detection of Cracks based on Artificial Intelligence Methods". Trabalho apresentado em 8th IAHR Europe Congress, Lisbon, 2024.
    Aceite para publicação
  4. Laryssa Freitas; Maria Manuela Portela Correia dos Santos Ramos da Silva; Espinosa, Luis Angel; Matos, José Pedro. "Characterization of extreme warm events in the Lisbon region (Portugal) based on ERA5-Land data". Trabalho apresentado em 8th IAHR Europe Congress, Lisbon, 2024.
    Aceite para publicação
  5. Laryssa Freitas; Maria Manuela Portela Correia dos Santos Ramos da Silva; Espinosa, Luis Angel; Matos, José Pedro. "Comparison of IDF curves for mainland Portugal using ground and ERA5-Land data". Trabalho apresentado em 8th IAHR Europe Congress, Lisbon, 2024.
    Aceite para publicação
  6. Francisco, Rafael; Matos, José Pedro. Autor correspondente: Francisco, Rafael. ""Deep learning" aplicado à transformação precipitação-escoamento em bacias hidrográficas portuguesas". Trabalho apresentado em Água: Desafios do Futuro, Faro, 2024.
    Aceite para publicação
  7. Laryssa Freitas; Maria Manuela Portela Correia dos Santos Ramos da Silva; Espinosa, Luis Angel; Matos, José Pedro. "ERA5-Land Data Versus Ground Data: Precipitation at Four Locations in Portugal". Trabalho apresentado em 4th IAHR Young Professionals Congress, 2023.
    Publicado
  8. Matos, José Pedro; Marcelo Leite Ribeiro; Sébastien Michelloud; Anuki Batiashvili; Leontina Galdava; Guram Mirinashvili. Autor correspondente: Matos, José Pedro. "Artificial intelligence meets streamflow forecasting. The Enguri Hydrology Initiative". Trabalho apresentado em Hydro 2023, Edinburgh, 2023.
    Publicado
  9. Sousa, Vitor; Meireles, Inês; Matos, José Pedro. "Statistical detection of water main failures from flow monitoring". Trabalho apresentado em LESAM 2022 - Leading-Edge Conference on Strategic Asset Management, Bordeaux, 2022.
    Publicado
  10. Matos, José Pedro; Mignan, Arnaud; Schleiss, Anton J.. "The role of uncertainty in dam failure frequency estimates: a conceptual case study". Trabalho apresentado em 26th International Commission on Large Dams World Congress, Viena, 2018.
    Publicado
  11. Pitilakis, K.; Argyroudis, S.; Fotopoulou, S.; Karafagka, S.; Kakderi, K.; Selva, J.; Salzano, E.; et al. "A Multi-Level Stress Test Methodology: Application to Six Critical Infrastructures in Europe". Trabalho apresentado em 16th European Conference on Earthquake Engineering, Thessaloniki, 2018.
    Publicado
  12. Matos, José Pedro; Schleiss, Anton J.; Matos, José Pedro. "A free and state-of-the-art probabilistic flow forecasting tool designed for Africa". Trabalho apresentado em Africa 2017. Water Storage and Hydropower Development for Africa Conference, Marrakesh, 2017.
    Publicado
  13. Matos, José Pedro; Schleiss, Anton J.. "A look at new and existing hydropower projects on the Zambezi under climatic uncertainty". Trabalho apresentado em Africa 2017. Water Storage and Hydropower Development for Africa Conference, Marrakech, 2017.
    Publicado
  14. Tsionis, G.; Argyroudis, S.; Babic, A.; Billmaier, M.; Dolsek, M. ; Esposito, S.; Giardini, D.; et al. "The STREST project: Harmonized approach to stress tests for critical infrastructures against low-probability high-impact natural hazards". Trabalho apresentado em 6th International Disaster and Risk Conference, Davos, 2016.
    Publicado
  15. Matos, José Pedro; Cohen-Liechti, T.; Schleiss, Anton J.. "Analysis of future hydropower development and operational scenarios on the Zambezi River Basin". Trabalho apresentado em 84th ICOLD Annual Meeting, International Commission on Large Dams (ICOLD), 2016.
    Publicado
  16. Matos, José Pedro; Mignan, Arnaud; Schleiss, Anton J.. "Vulnerability of large dams considering hazard interactions: conceptual application of the Generic Multi-Risk framework". Trabalho apresentado em 13th ICOLD International Benchmark Workshop on Numerical Analysis of Dams, Lausanne, 2015.
    Publicado
  17. Matos, José Pedro; Monteiro, António Jorge; Schleiss, Anton J.; Matias, Natércia M.. "Guided evolutionary approaches for redesigning water distribution networks". Trabalho apresentado em 16th International Conference on Water Distribution Systems Analysis, WDSA2014, Bari, 2014.
    Publicado
  18. Matos, José Pedro; Cohen-Liechti, T.; Portela, Maria Manuela; Schleiss, Anton J.. "Coupling satellite rainfall estimates and machine learning techniques for flow forecast: application to a large catchment in Southern Africa". Trabalho apresentado em 2013 IAHR Congress, Chengdu, 2013.
    Publicado
  19. Matos, José Pedro; Portela, Maria Manuela; Schleiss, Anton J.. "Cálculo e previsão melhorada de caudais afluentes a grandes albufeiras utilizando filtros de Kalman". Trabalho apresentado em 11º Simpósio de Hidráulica e Recursos Hídricos dos Países de Língua Oficial Portuguesa, Maputo, 2013.
    Publicado
  20. Matos, José Pedro; Portela, Maria Manuela; Juízo, D.; Schleiss, Anton J.. "Base de dados e modelo hidrológico da bacia do Zambeze". Trabalho apresentado em 11º Simpósio de Hidráulica e Recursos Hídricos dos Países de Língua Oficial Portuguesa, Maputo, 2013.
    Publicado
  21. Matos, José Pedro; Matias, Natércia M.; Monteiro, António Jorge. "Redesigning water distribution networks through a structured evolutionary approach". Trabalho apresentado em 14th Water Distribution Systems Analysis Conference, Adelaide, 2012.
    Publicado
  22. Cohen-Liechti, T.; Matos, José Pedro; Boillat. J.-L.; Portela, Maria Manuela. "Semi-distributed hydraulic-hydrological modeling of the Zambezi River Basin". Trabalho apresentado em International Conference on the Status and Future of the World's Large Rivers, Viena, 2011.
    Publicado
  23. Matos, José Pedro; Cohen-Liechti, T.; Boillat J.-L.; Portela, Maria Manuela; Schleiss, Anton J.. "Analysis of flow regime changes due to operation of artificial reservoirs on the Zambezi River". Trabalho apresentado em 6th International Symposium on Environmental Hydraulics, Atenas, 2010.
    Publicado
Artigo em revista
  1. Matos, José Pedro; Ferreira, Filipa; Mendes, Diogo; Matos, José Saldanha. "Evaluating Compound Flooding Risks in Coastal Cities under Climate Change—The Maputo Case Study, in Mozambique". Sustainability 15 19 (2023): 14497. http://dx.doi.org/10.3390/su151914497.
    10.3390/su151914497
  2. Meireles, Inês; Sousa, Vitor; Matos, José Pedro; Cruz, Carlos Oliveira. "Determinants of water loss in Portuguese utilities". Utilities Policy 83 (2023): 101603. http://dx.doi.org/10.1016/j.jup.2023.101603.
    10.1016/j.jup.2023.101603
  3. Espinosa, Luis Angel; Portela, Maria Manuela; Matos, José Pedro; Gharbia, Salem. "Climate Change Trends in a European Coastal Metropolitan Area: Rainfall, Temperature, and Extreme Events (1864–2021)". Atmosphere 13 12 (2022): 1995. http://dx.doi.org/10.3390/atmos13121995.
    10.3390/atmos13121995
  4. Almeida, Manuel C.; Shevchuk, Yurii; Kirillin, Georgiy; Soares, Pedro M. M.; Cardoso, Rita M.; Matos, José P.; Rebelo, Ricardo M.; Rodrigues, António C.; Coelho, Pedro S.. "Modeling reservoir surface temperatures for regional and global climate models: a multi-model study on the inflow and level variation effects". Geoscientific Model Development 15 1 (2022): 173-197. http://dx.doi.org/10.5194/gmd-15-173-2022.
    Publicado • 10.5194/gmd-15-173-2022
  5. Sipatela, P; Munodawafa, M. C.; Matos, José Pedro; Chambart, M.. "Flood management and spillway capacity during works on the Kariba dam rehabilitation project". Hydropower & Dams 29 3 (2022): https://www.hydropower-dams.com/articles/flood-management-and-spillway-capacity-during-works-on-the-kariba-dam-rehabilitation-project/.
    Publicado
  6. Argyroudis, Sotirios A.; Fotopoulou, Stavroula; Karafagka, Stella; Pitilakis, Kyriazis; Selva, Jacopo; Salzano, Ernesto; Basco, Anna; et al. "A risk-based multi-level stress test methodology: application to six critical non-nuclear infrastructures in Europe". Natural Hazards 100 2 (2019): 595-633. http://dx.doi.org/10.1007/s11069-019-03828-5.
    Publicado • 10.1007/s11069-019-03828-5
  7. Sousa, Vitor; Matos, José P.; Matias, Natércia; Meireles, Inês. "Statistical comparison of the performance of data-based models for sewer condition modeling". Structure and Infrastructure Engineering 15 12 (2019): 1680-1693. http://dx.doi.org/10.1080/15732479.2019.1648525.
    Publicado • 10.1080/15732479.2019.1648525
  8. Matos, José Pedro; Hassan, Marwan A.; Lu, Xi Xi; Franca, Mário J.. "Probabilistic Prediction and Forecast of Daily Suspended Sediment Concentration on the Upper Yangtze River". Journal of Geophysical Research: Earth Surface 123 8 (2018): 1982-2003. http://dx.doi.org/10.1029/2017jf004240.
    Publicado • 10.1029/2017jf004240
  9. Matos, José P.; Portela, Maria M.; Schleiss, Anton J.. "Towards Safer Data-Driven Forecasting of Extreme Streamflows". Water Resources Management 32 2 (2017): 701-720. http://dx.doi.org/10.1007/s11269-017-1834-z.
    Publicado • 10.1007/s11269-017-1834-z
  10. Matos, José P.; Monteiro, António J.; Matias, Natércia M.; Schleiss, Anton J.. "Redesigning Water Distribution Networks Using a Guided Evolutionary Approach". Journal of Water Resources Planning and Management 142 5 (2016): http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000586.
    Publicado • 10.1061/(asce)wr.1943-5452.0000586
  11. Cohen Liechti, T.; Matos, J. P.; Boillat, J.-L.; Schleiss, A. J.. "Influence of Hydropower Development on Flow Regime in the Zambezi River Basin for Different Scenarios of Environmental Flows". Water Resources Management 29 3 (2014): 731-747. http://dx.doi.org/10.1007/s11269-014-0838-1.
    Publicado • 10.1007/s11269-014-0838-1
  12. Sousa, Vitor; Matos, José P.; Matias, Natércia. "Evaluation of artificial intelligence tool performance and uncertainty for predicting sewer structural condition". Automation in Construction 44 (2014): 84-91. http://dx.doi.org/10.1016/j.autcon.2014.04.004.
    Publicado • 10.1016/j.autcon.2014.04.004
  13. Cohen Liechti, T.; Matos, J.P.; Boillat, J.-L.; Portela, M.M.; Schleiss, A.J.. "Hydraulic–hydrologic model for water resources management of the Zambezi basin". Journal of Applied Water Engineering and Research 2 2 (2014): 105-117. http://dx.doi.org/10.1080/23249676.2014.958581.
    Publicado • 10.1080/23249676.2014.958581
  14. Marchi, Angela; Salomons, Elad; Ostfeld, Avi; Kapelan, Zoran; Simpson, Angus R.; Zecchin, Aaron C.; Maier, Holger R.; et al. "Battle of the Water Networks II". Journal of Water Resources Planning and Management 140 7 (2014): 04014009. http://dx.doi.org/10.1061/(asce)wr.1943-5452.0000378.
    Publicado • 10.1061/(asce)wr.1943-5452.0000378
  15. Matos, J.P.; Cohen Liechti, T.; Portela, M.M.; Schleiss, A.J.. "Pattern-oriented memory interpolation of sparse historical rainfall records". Journal of Hydrology 510 (2014): 493-503. http://dx.doi.org/10.1016/j.jhydrol.2014.01.003.
    Publicado • 10.1016/j.jhydrol.2014.01.003
  16. Cohen Liechti, Theodora; Matos, José Pedro; Ferràs Segura, David; Boillat, Jean-Louis; Schleiss, Anton J.. "Hydrological modelling of the Zambezi River Basin taking into account floodplain behaviour by a modified reservoir approach". International Journal of River Basin Management 12 1 (2014): 29-41. http://dx.doi.org/10.1080/15715124.2014.880707.
    Publicado • 10.1080/15715124.2014.880707
  17. Sousa, V.; Matos, José Pedro; Almeida, N.; Saldanha Matos, J.. "Risk assessment of sewer condition using artificial intelligence tools: application to the SANEST sewer system". Water Science and Technology 69 3 (2013): 622-627. http://dx.doi.org/10.2166/wst.2013.758.
    Publicado • 10.2166/wst.2013.758
  18. Matos, J.P.; Cohen Liechti, T.; Juízo, D.; Portela, M.M.; Schleiss, A.J.. "Can satellite based pattern-oriented memory improve the interpolation of sparse historical rainfall records?". Journal of Hydrology 492 (2013): 102-116. http://dx.doi.org/10.1016/j.jhydrol.2013.04.014.
    Publicado • 10.1016/j.jhydrol.2013.04.014
  19. João F. Santos; Maria Manuela Portela Correia dos Santos Ramos da Silva; Mauro Naghettini; Matos, José Pedro; Artur Tiago Silva. "Precipitation Thresholds For Drought Recognition: A Further Use Of The Standardized Precipitation Index, SPI". WIT Transactions on Ecology and the Environment 172 (2013): 3-14. https://www.witpress.com/elibrary/wit-transactions-on-ecology-and-the-environment/172/24629.
    Acesso aberto • Publicado • 10.2495/RBM130011
  20. Cohen Liechti, T.; Matos, J. P.; Boillat, J.-L.; Schleiss, A. J.. "Comparison and evaluation of satellite derived precipitation products for hydrological modeling of the Zambezi River Basin". Hydrology and Earth System Sciences 16 2 (2012): 489-500. http://dx.doi.org/10.5194/hess-16-489-2012.
    Acesso aberto • Publicado • 10.5194/hess-16-489-2012
Artigo em revista (magazine)
  1. Matos, José Pedro; Schleiss, Anton J.; Wehrli, Bernhard. "Developing an open-source database for the Zambezi river basin", International Journal on Hydropower & Dams, 2016
  2. Mertens, Jasmin; Wehrli, Bernhard; Tilmant, Amaury; Schleiss, Anton J.; Cohen Liechti, Theodora; Matos, José Pedro. "Adapted reservoir management in the Zambezi river basin to meet environmental needs", International Journal on Hydropower & Dams, 2013
Capítulo de livro
  1. Schleiss, Anton J.; Matos, José Pedro. "Zambezi River Basin". In Chow’s Handbook of Applied Hydrology, 98-1-98-6. McGraw-Hill Education, 2016.
    Publicado
Tese / Dissertação
  1. "Hydraulic-hydrologic model for the Zambezi River using satellite data and artificial intelligence techniques". Doutoramento, École Polytechnique Fédérale de Lausanne, 2014. https://infoscience.epfl.ch/record/204237?ln=en.
  2. "Utilização de redes neuronais artificiais para a modelação da degradação de sistemas de distribuição de água". Mestrado, Universidade de Lisboa Instituto Superior Técnico, 2008.
Atividades

Orientação

Título / Tema
Papel desempenhado
Curso (Tipo)
Instituição / Organização
2017 - 2017 Modification of hydropower storage operation to cope with climate change effects in Switzerland
Coorientador
École Polytechnique Fédérale de Lausanne, Suiça
2017 - 2017 Quantitative dam break flood risk mitigation assessment based on microsimulation techniques: an application to the Mattmark dam in Switzerland
Coorientador
École Polytechnique Fédérale de Lausanne, Suiça
2017 - 2017 Overtopping of embankment dams from landslide generated waves
Coorientador
École Polytechnique Fédérale de Lausanne, Suiça
2017 - 2017 Modeling travel paths, unitary costs and advection and decay of chemical substances in water distribution systems
Coorientador
École Polytechnique Fédérale de Lausanne, Suiça
2017 - 2017 Improvement and implementation of a flow forecasting system for Southern Africa
Coorientador
École Polytechnique Fédérale de Lausanne, Suiça
2016 - 2016 Numerical simulation of dam break flood wave propagation in the Rhone River
Coorientador
École Polytechnique Fédérale de Lausanne, Suiça
2015 - 2015 Numerical simulation and evaluation of the risk posed by impulse waves on the Mattmark reservoir
Coorientador
École Polytechnique Fédérale de Lausanne, Suiça

Curso / Disciplina lecionado

Disciplina Curso (Tipo) Instituição / Organização
2022/11 - Atual Impact Assessment Engenharia do Ambiente (Mestrado) Universidade de Lisboa Instituto Superior Técnico, Portugal
2022/04 - Atual Hydrology and Water Resources Civil Engineering (Licenciatura) Universidade de Lisboa Instituto Superior Técnico, Portugal
2022/04 - Atual Advanced Topics in Water Resources and Environment (Doutoramento) Universidade de Lisboa Instituto Superior Técnico, Portugal
2021/02 - 2022/07 Économie Hydraulique (Water Resources Management) Vários (Master) École Polytechnique Fédérale de Lausanne, Suiça
Distinções

Prémio

2007 Prémio Alberto Abecassis Manzanares
Universidade de Lisboa Instituto Superior Técnico, Portugal

Outra distinção

2016 Menção honrosa no prémio bi-anual da APRH para teses de doutoramento
Associação Portuguesa dos Recursos Hídricos, Portugal
2014 Nomeado para o prémio Asea Brown Boveri Ltd. (ABB)
ABB AG, Suiça

École Polytechnique Fédérale de Lausanne, Suiça