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Facts & Numbers
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Presentation

High-Assurance Software

HASLab is focused on the design and implementation of high-assurance software systems: software that is correct by design and resilient to environment faults and malicious attacks. 

To accomplish this mission, HASLab covers three main competences — Cybersecurity, Distributed Systems, and Software Engineering — complemented by other competences such as Human-Computer Interaction, Programming Languages, or the Mathematics of Computing. 

Software Engineering – methods, techniques, and tools for rigorous software development, that can be applied to the internal functionality of a component, its composition with other components, as well as the interaction with the user.

Distributed Systems – improving the reliability and scalability of software, by exploring properties inherent to the distribution and replication of computer systems.

Cybersecurity – minimize the vulnerability of software components to hostile attacks, by deploying structures and cryptographic protocols whose security properties are formally proven.

Through a multidisciplinary approach that is based on solid theoretical foundations, we aim to provide solutions — theory, methods, languages, tools — for the development of complete ICT systems that provide strong guarantees to their owners and users. Prominent application areas of HASLab research include the development of safety and security critical software systems, the operation of secure cloud infrastructures, and the privacy-preserving management and processing of big data.

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Projects

DisaggregatedHPC

Towards energy-efficient, software-managed resource disaggregation in HPC infrastructures

2025-2026

InfraGov

InfraGov: A Public Framework for Reliable and Secure IT Infrastructure

2025-2026

ENSCOMP4

Ensino de Ciência da Computação nas Escolas 4

2024-2025

PFAI4_5eD

Programa de Formação Avançada Industria 4 - 5a edição

2024-2024

Team
001

Laboratory

CLOUDinha

Publications

HASLab Publications

View all Publications

2022

Picking Publication Targets

Authors
Baquero, C;

Publication
COMMUNICATIONS OF THE ACM

Abstract
The Communications website, http://cacm.acm.org, features more than a dozen bloggers in the BLOG@CACM community. In each issue of Communications , we'll publish selected posts or excerpts. twitter Follow us on Twitter at http://twitter.com/blogCACM http://cacm.acm.org/blogs/blog-cacm Carlos Baquero offers guidance on how to decide where to publish one's paper.

2022

Is Having AI Generate Text Cheating?

Authors
Baquero, C;

Publication
COMMUNICATIONS OF THE ACM

Abstract
Carlos Baquero on whether using artificial intelligence provides an unfair advantage to writers.

2022

The Dynamics of Remembering and Forgetting

Authors
Baquero, C; Cabecinhas, R;

Publication
COMMUNICATIONS OF THE ACM

Abstract
[No abstract available]

2022

What Ever Happened to Peer-to-Peer Systems?

Authors
Baquero, C;

Publication
COMMUNICATIONS OF THE ACM

Abstract

2022

Consistent Comparison of Symptom-based Methods for COVID-19 Infection Detection

Authors
Rufino, J; Ramirez, J; Baquero, C; Champati, J; Frey, D; Lillo, R; Anta, AF;

Publication

Abstract
Abstract Multiple COVID-19 diagnosis methods based on information collected from patients have been proposed during the global pandemic crisis, with the aim of providing medical staff with quick diagnosis tools to efficiently plan and manage the limited healthcare resources. In general, these methods have been developed to detect COVID-19 positive cases from a particular combination of reported symptoms, and have been evaluated using datasets extracted from different studies with different characteristics. On the other hand, the University of Maryland, in partnership with Facebook, launched the Global COVID-19 Trends and Impact Survey (UMD-CTIS), the largest health surveillance tool to date that has collected information from 114 countries/territories since April 2020. This survey captured various individual features including gender, age groups, self-reported symptoms, isolation measures, and mental health status, among others. In this paper, we compare the performance of different proposed COVID-19 diagnosis methods using the information collected by UMD-CTIS, for the years 2020 and 2021, in five countries: Brazil, Canada, Germany, Japan, and South Africa. The evaluation of these methods with homogeneous data across countries and years provides a solid and consistent comparison among them.

Facts & Figures

21Senior Researchers

2016

16Academic Staff

2020

68Researchers

2016

Contacts