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From Navigators
We are the Navigators, a research team on distributed systems, their architectures, their algorithms, in their several skins: fault tolerance, real-time, security, and combinations thereof.
We also pursue the quest for the right balance between science and technology. Some people say that Informatics (a.k.a. computer science and engineering) belongs to a new breed, of what are called techno-sciences. We believe that techno-scientists should accompany theoretical mastery with a deep knowledge of their environment — computer technology — as well as astro-physicists know the sky, or marine biologists know the sea.
We study new theories to explain distributed systems, and new algorithms to take advantage from them. But we also like to do proof-of-concept experiments about the theory we work on. We try that our papers and theses tell a good story as clearly as possible. We work hard for our demonstrations to be convincing and captivating. Because we believe science is made for others.
Our greatest riches are our culture, and our researchers and students. If you believe in the former, you can become one of the latter. Welcome!
Announcements
- (Nov/2019) The Doctoral Fellowships “la Caixa” INPhINIT have opened with three themes for PhD proposals from the Navigators professors!
- (Oct/2019) The final demonstration and review of the DISIEM EU project, which we have lead for the past three years, went extremely well with praise for the outstanding results that were achieved!
- (Apr/2018) Based on the final demonstration of the Supercloud EU project last month, here is a video about Sirius, the multi-cloud network virtualization platform.
Latest publications
- Gustavo Gonzalez-Granadillo, Mario Faiella, Ibéria Medeiros, Rui Azevedo, Susana Gonzalez-Zarzosa, “ETIP: An Enriched Threat Intelligence Platform for Improving OSINT Correlation, Analysis, Visualisation and Sharing Capabilities”, Journal of Information Security and Applications, Elsevier, vol. 58, May 2021.
- João Caseirito, Ibéria Medeiros, “Improving Web Application Vulnerability Detection Leveraging Ensemble Fuzzing”, in In Proceedings of the International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE), Apr. 2021.
- Vasco Leitão, Ibéria Medeiros, “SRXCRM: Discovering Association Rules Between System Requirements and Product Specifications”, in In Proceedings of the International Workshop on Natural Language Processing for Requirements Engineering (NLP4RE), Apr. 2021.
- Rui Pereira, “Automatização de Requisitos de Segurança em Aplicações Android”, Master’s thesis, Mestrado em Segurança Informática, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, Dec. 2020.
- Ana Fidalgo, “Detecting Web Vulnerabilities in an Intermediate Language Resorting of Machine Learning Techniques”, Master’s thesis, Mestrado em Ciência em Dados, Nov. 2020.
- Francisco Araujo, Ibéria Medeiros, Nuno Ferreira Neves, “Generating Tests for the Discovery of Security Flaws in Product Variants”, in In Proceedings of the International Workshop on Testing Extra-Functional Properties and Quality Characteristics of Software Systems (ITEQS), Oct. 2020.
- Ana Fidalgo, Ibéria Medeiros, Nuno Ferreira Neves, “Towards a Deep Learning Model for Vulnerability Detection on Web Application Variants”, in In Proceedings of the Workshop on Testing of Configurable and Multi-variant Systems (ToCaMS), Oct. 2020.
- Ibéria Medeiros, Nuno Ferreira Neves, “Effect of Coding Styles in Detection of Web Application Vulnerabilities”, in In Proceedings of the European Dependable Computing Conference (EDCC), Sept. 2020.
- Claudio Martins, “Generating Threat Intelligence based on OSINT and a Cyber Threat Unified Taxonomy”, Master’s thesis, Mestrado em Segurança Informática, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, Sept. 2020.
- Vinicius Vielmo Cogo, “Efficient, Dependable Storage of Human Genome Sequencing Data”, Ph.D. dissertation, Faculdade de Ciências, Universidade de Lisboa, Sept. 2020.
Events
What: Invited talk by Marco Canini (KAUST): "Scaling distributed ML with in-network aggregation"
When: Thu 2019-Nov-14, 3pm
Where: Room 6.3.26 @ FCUL
Sponsor: uPVN project, FCT ref. PTDC/CCI-INF/30340/2017
