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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
- Vasco Leitão, “Prioritization of Software and System Requirements through Natural Language Processing for Testing Software”, Master’s thesis, Mestrado em Ciência em Dados, Nov. 2021.
- Vinicius Vielmo Cogo, Alysson Bessani, “Brief Announcement: Auditable Register Emulations”, in 35th International Symposium on Distributed Computing (DISC 2021), Oct. 2021.
- Christian Berger, Hans P. Reiser, Alysson Bessani, “Making Reads in BFT State Machine Replication Fast, Linearizable, and Live”, in Proceedings of the 40th International Symposium on Reliable Distributed Systems (SRDS'21), Sept. 2021. Prof. C.V. Ramamoorthy Best Paper Award
- Miguel Moreira, “Imposição de Segurança em Aplicações Web a partir de Linguagem Intermédia”, Master’s thesis, Mestrado em Engenharia Informática, Departamento de Informática, Faculdade de Ciências da Universidade de Lisboa, Jul. 2021.
- João Caseirito, Ibéria Medeiros, “Finding Web Application Vulnerabilities with an Ensemble Fuzzing (fast abstract)”, in In Proceedings of the 51st IEEE/IFIP International Conference on Dependable Systems and Networks (DSN'21), Jun. 2021.
- Vinicius Vielmo Cogo, João Paulo, Alysson Bessani, “GenoDedup: Similarity-Based Deduplication and Delta-Encoding for Genome Sequencing Data”, IEEE Transactions on Computers, vol. 70, no. 5, pp. 669–681, May 2021.
- 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.
- Wilson S. Melo Jr, Luis V. G. Tarelho, Bruno A. Rodrigues Filho, Alysson Bessani, Luiz F. R. C. Carmo, “Field surveillance of fuel dispensers using IoT-based metering and blockchains”, Journal of Network and Computer Applications, vol. 175, Feb. 2021.
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
