LASIGE

LASIGE is a research unit at the Faculty of Sciences of the University of Lisbon, in the field of Computer Science and Engineering. LASIGE gathers experts from several areas of the computing field, including artificial intelligence, machine learning, concurrency, distributed computing, embedded and cyber-physical systems, human-centred computing, information systems, information retrieval, security and privacy, software validation and verification, and applied computing to life and medical sciences. LASIGE’s activities are organised around six lines of excellence supported by key quality indicators.

Accessibility and Ageing

LASIGE presents a longstanding record of research contributions in the area of accessible computing, in assessing, designing, and developing technologies for people with different abilities. The Accessibility and Ageing (AA) research line gathers all the contributions that seek to evaluate or design interfaces for people with disabilities, older adults, or people suffering from situational impairments.

Cyber‐Physical Systems

The LASIGE research line Cyber-Physical Systems (CPS) investigates the functional, human, trustworthiness and timing aspects of cyber-physical systems. This research line focuses on system solutions for offline verification and online monitoring of security- and safety-critical embedded real-time systems, mechanisms for efficient and adaptive interactions among entities in specific scenarios, protocols for autonomous driving scenarios, and visual analytics techniques and tools for exploring heterogeneous datasets from cyber-physical and smart systems, making them more transparent to end-users.

Data and Systems Intelligence

The research line on Data and Systems Intelligence (DSI) strives to devise innovative solutions for large‐scale data problems and complex systems. DSI intersects areas of recent high visibility and impact, such as machine learning and data mining, but also the general fields of artificial intelligence. This highly multidisciplinary research line aims at advancing research and knowledge in the recent flagship application and research domain of data science, web science, and network science.

Health and Biomedical Informatics

LASIGE presents a longstanding record of research contributions in the area of Health & Biomedical Informatics (HBI), by providing innovative solutions for processing biological and medical data, and for supporting the discovery of new biomedical insights. This research line aims to encompass all the scientific work in LASIGE where informatics plays a fundamental role in creating new knowledge in life and health sciences.

Resilient Distributed and Networked Systems

Resilient Distributed and Networked Systems (RDNS) investigates models, protocols and architectures that are suitable for applications with strong dependability requirements, namely applications that needto remain operational despite accidental faults or malicious attacks. The solutions being developed cover a diverse set of objectives, enforcing the prevention, detection and tolerance of failures. The kind of environments that are being contemplated include cloud deployments, highly dynamic and geographically distributed networks, mobile distributed computing, web systems and applications, smart grids and other critical infrastructures.

Reliable Software Systems

Reliable Software Systems (RSS) focuses on modelling techniques and formal analysis approaches to software system structure and behaviour. It aims at enhancing the software engineering practice and particularly the quality of the software.
Its activity ranges from developing theoretical models, languages and techniques to the development of tools that can be used in the real-world software development process, with a clear impact on the workflow of developers and the industry in general. RSS centers its attention on the verification and validation of software, increasing the confidence of developers in their code, especially in complex and error-prone scenarios, such as concurrent and distributed programs.

RECENT

NEWS

LASIGE featured in FCT’s Atlas of Research Units

18/01/2022

LASIGE is one of the research units featured in Fundação para a Ciência e a Tecnologia (FCT)’s Portuguese Atlas of Research Units. The Atlas provides a brief description of the 312 Portuguese R&D units recognized by FCT. FCT is the national agency for the public funding of science. Since its foundation in 1997, FCT supports […]

LASIGE’s Executive Committee Elected (2022/2023)

14/01/2022

On January 11, 2022, the LASIGE Scientific Council elected the Executive Committee (EC), for the 2022/2023 period, constituted by Alysson Bessani (Director), Tiago Guerreiro, and Cátia Pequita. This new team is very grateful for the accomplished work and commitment of the former EC members (Vasco Vasconcelos, Manuel Fonseca, and Andreia Mordido), during the 2020/2021 period. […]

Ibéria Medeiros and Nuno Neves publish in IEEE Transactions on Reliability

12/01/2022

Ibéria Medeiros and Nuno Neves, LASIGE’s integrated researchers, has published a work on natual language (NLP) model for detecting vulnerabilities in web applications in the IEEE Transactions on Reliability, a high-impact journal (h5-index: 102). The paper, titled “Statically Detecting Vulnerabilities by Processing Programming Languages as Natural Languages”, is co-authored by Miguel Correia, INESC-ID researcher. The […]

RECENT

TALKS

CPS and RDNS meetup: Rohit Kumar & Daniel Ângelo

11/01/2022

7th WideHealth Seminar: Mitja Lustrek

11/01/2022

Data Science Seminars: Leon Ingelse

17/12/2021

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ONGOING

PROJECTS

FoodParenting

Food Parenting: study of a new web-based parent intervention

VEDLIoT

Very Efficient Deep Learning IoT platform

SEEDS

A holistic design of secure vehicular networks: communications, data caching and blockchain services

Cue Band

wearable for Parkinson's

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Luís Cavique, Mariana Cavique, Armando Mendes, Miguel Cavique. Improving information system design: Using UML and axiomatic design. Computers in Industry, 135, Elsevier BV, 2022 [Biblios]

Filipe Casal, Andreia Mordido, Vasco T. Vasconcelos. Mixed sessions. Theoretical Computer Science, 897, Elsevier BV, 2022 [Biblios]

Stefan Postolache, Rafael Torres, Ana Paula Afonso, Maria Beatriz Carmo, Ana Paula Cláudio, Dulce Domingos, António Ferreira, Raquel Barata, Palmira Carvalho, Ana Godinho Coelho, Maria Cristina Duarte, César Garcia, Ana Isabel Leal, Paula Redweik. Contributions to the design of mobile applications for visitors of Botanical Gardens. Procedia Computer Science, 196, Elsevier BV, 2022 [Biblios]

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SOFTWARE &

TOOLS

ChemRecSys

ChemRecSys (Chemical Compounds Recommender System) is a system for recommending Chemical Compounds, integrating collaborative-filtering algorithms for implicit feedback (Alternating Least Squares...

AgreementMakerLight

AgreementMakerLight is an automated and efficient ontology matching system derived from AgreementMaker that has been in development since the beginning of...

QualWeb online

The QualWeb accessibility evaluation as an online service (source code). Team @ LASIGE: João Vicente; António Estriga; Bruno Andrade; André Santos; Carlos...

SCFS

SCFS is a cloud-backed file system that provides strong consistency even on top of eventually-consistent cloud storage services. Its build on...

QualWeb engine

An automated web accessibility evaluation engine with support for WCAG 2.1 and ACT-Rules. Team @ LASIGE: João Vicente; António Estriga; Bruno...

BFT-SMaRt

BFT-SMaRt is a high-performance Byzantine fault-tolerant state machine replication library developed in Java with simplicity and robustness as primary requirements. Our...

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About LASIGE

LASIGE is a research and development unit at the Faculty of Sciences of the University of Lisbon, in the field of Computer Science and Engineering.

LASIGE has approximately 250 collaborators, including researchers holding a doctoral degree, PhD and MSc students and other junior researchers, project managers, and a team of system administrators. The current Director is Prof. Vasco T. Vasconcelos.