Gonçalo Vitorino Jesus

• Research Officer

• Universidade de Lisboa, Portugal – Ph.D. in Informatics (Informatics Engineering). Thesis in "Dependable data quality oriented methodology for aquatic monitoring networks”. Approved with Distinction.
• Universidade de Coimbra, Portugal - Licenciatura (5 year Degree, equivalent to MSc in Bologne) in Informatics Engineering, with focus in the practice of programming, software engineer, artificial intelligence and databases and systems administration. Final grade of 18 out of 20.
• Escola Secundária D. Pedro I de Alcobaça, Portugal - Graded high school in the science area, with the final grade of 18 out of 20.

• Research Officer in the scientific area of Informatics Engineering

• Doctoral Researcher in the scientific area of Informatics Engineering within AQUAMON project

• PhD Student at Faculdade de Ciências da Universidade de Lisboa
• PhD Grant by Fundação para a Ciência e Tecnologias
• Accenture consultant working as Content Management and Reporting Service Owner at Vodacom South Africa

• PhD Student at Faculdade de Ciências da Universidade de Lisboa
• PhD Grant by LNEC and Fundação para a Ciência e Tecnologias

• Specialties and Domains: Emergencies Management Information Systems, Real-time Forecasts Systems, Grid Computing, Geographic Information Systems, Network Systems, Systems Administration, Databases, Web-Services Dependability, Data Warehouse, Data Mining

Critical Software SA: 2006-2007

• Consultancy and audit to database systems, including Oracle, PostgreSQL and Sybase databases. Development of a middleware to provide a distributed data warehouse of heterogeneous computers based in open source technologies. The chosen environment was Linux with Java/Delphi and PostgreSQL databases.

• Internship with the duration of six (6) months included the development of an Administration Application Architecture for the Dyna-DW (Dynamic Data Warehousing) Platform, and subsequent implementation of some of the main modules. Final grade of 18 out of 20.

• Develops activities in information systems and real-time prediction systems in support of emergency management, using parallel computing in distributed environments.
• Develops activities in data science, information systems and real-time forecast systems in support of water emergency management.
• These activities are supported by the recent research performed in the field of dependability and machine learning, which includes 1) the study of a generic methodology for the reliable monitoring in environmental sensor networks, promoting the detection, categorization and correction of abnormal measurements obtained by environmental sensor networks; and 2) the development of automated solutions for reliable data quality for aquatic environments that can be affected by external factors.

• project PAC:MAN (PTDC/AAC-AMB/113469/2009): risk accidents management system – funded by FCT (Fundação para a Ciência e Tecnologia) – the goal is to research oil spills accidents data and validate a set of environmental indicators related to atmospheric and oceanographic data that may lead to accidents occurrence. And integrate this in a early alert oil spill system in coastal areas, based on mobile technologies;
• project C-WOS: A computational system for early warning of oil spills in estuaries and coastal regions – funded by FLAD (Fundação Luso-Americana para o Desenvolvimento) resulting from a partnership between LNEC and the NSF Science and Technology Center for Costal Margin Observation and Predicition of Oregon Health and Science University. The Project has as goal the development of an information system for early warning of oil spills in estuaries and coastal areas;
• project SPRES: Oil spill prevention and response at local scales (Interreg Atlantic Area Transnational Cooperation Programme 2007-2013 project SPRES - 2011-1/168) – development of a real-time forecast system using real-time monitoring in Ria de Aveiro;
• project "Modelos de Partilha de Dados/ARH do Norte”, in the conception and development of two applications to manage reports, involving ETL techniques and development of a WebGIS (online visualization for data from a geographical information system);
• project "Salva-Vidas/SAGE-B”, in the conception and development of dam-break emergency management support system, with a case test of a dam in Portugal, Alqueva dam;
• project "FURBS, Forma Urbana Sustentável – Desenvolvimento Metodológico para Portugal”, in the development of a system that supports an urban shape evolution analysis methodology;
• project G-cast, in the development of a system that provides a framework to visualize and manage the results of several models running continuously, using the GRID cluster;
• writting proposals to research projects submitted to Fundação para a Ciência e Tecnologia;
• writing proposals for studies and contracts submitted to national organisms (Protecção Civil e Infraestruturas do Alqueva, ARH do Norte e Algarve) and internationals.

• Gonçalo Jesus, 2019. A dependability framework for WSN-based aquatic monitoring systems, Dissertação de doutoramento em Informática, especialidade de Engenharia Informática, Faculdade de Ciências da Universidade de Lisboa, Portugal. http://hdl.handle.net/10451/43872
• Jesus G., Oliveira A., Casimiro A, 2021. Systematic Failure Detection and Correction in Environmental. Sensors & Transducers Journal, Volume 252, Issue 5, October 2021.
• Jesus G., Oliveira A., Casimiro A., 2021. Using Machine Learning for Dependable Outlier Detection in Environmental Monitoring Systems. ACM Transactions on Cyber-Physical Systems, 5(3),1-30, 2021.
• Anabela Oliveira, André B.Fortunato, Marta Rodrigues, Alberto Azevedo, João Rogeiro, Samuel Bernardo, Laura Lavaud, Xavier Bertin, Alphonse Nahon, Gonçalo Jesus, Miguel Rocha, Pedro Lopes. Forecasting contrasting coastal and estuarine hydrodynamics with OPENCoastS. Environmental Modelling & Software, 105132, 2021.
• Jesus G., Oliveira A., Azevedo A., Casimiro A. (2015) Improving sensor-fusion with environmental models. IEEE Sensors 2015, 1839-1842.DOI: 10.1109/ICSENS.2015.7370654
• Gomes J.L., Jesus G., Rogeiro J., Oliveira A., Costa R., Fortunato A. (2015). Molines – towards a responsive Web platform for flood forecasting and risk mitigation. Proceedings of the Federated Conference on Computer Science and Information Systems pp. 1171–1176 ACSIS, Vol. 5 DOI: 10.15439/2015F265.
• Jesus, G., A. Oliveira, A. Casimiro, 2014. Ensuring Reliable Measurements In Remote Aquatic Sensor Networks, 11th International Conference on Hydroinformatics, HIC 2014, New York City, USA, 8 pages.
• Oliveira, A., Jesus, G., Gomes, J.L., Rogeiro, J., Azevedo, A., Rodrigues, M., Fortunato, A.B., Dias, J.M., Tomas, L.M., Oliveira, E.R. Alves, F.L., den Boer, S., 2014. An interactive WebGIS observatory platform for enhanced support of coastal management. Journal of Coastal Research, SI No. 66, pp. 507-512, ISSN 0749-0208.
• Jesus, G., A. Casimiro e A. Oliveira. 2013. Towards Dependable Measurements in Coastal Sensors Networks." European Workshop on Dependable Computing. Springer Berlin Heidelberg, 2013. 190-193.
• Jesus, G., J. Gomes, N.A. Ribeiro e A. Oliveira. 2012. "Custom deployment of a Nowcast-forecast information system in coastal regions”, Geomundus 2012, 6 pg.
• S. Tixeuil, L. Moura Silva, W. Hoarau, G. Jesus, J. Bento, e F. Telles. 2005. Fault-injection and dependability benchmarking for grid computing middleware. Proc. of CoreGrid Integration Workshop, Lecture Notes on Computer Science, Springer-Verlag, 175-184.