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, theory of computing, with an emphasis on computational complexity, and applied computing to life and medical sciences. LASIGE’s activities are organised around seven lines of excellence supported by key quality indicators.

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.

Dependable and Secure Decentralized Systems

Dependable and Secure Decentralized Systems (DS2) investigates models, protocols and architectures that are suitable for applications with strong dependability requirements, namely applications that need to 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.

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.

Inclusive Human-Computer Interaction

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 Inclusive Human-Computer Interaction (IHCI) 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.

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.

Theory of Computing

Theory of Computing (ToC) is dedicated to the foundational, theoretical study of computation: What is a computer? What is computation and where does it manifest? What are the capabilities and limitations of different kinds of computers? The method we use to study this question is the mathematical method: we use precise mathematical definitions to model various systems where computation (or a computation-like phenomenon) occurs, and then we use rigorous, deductive reasoning (i.e., mathematical proofs) to understand the behavior and properties of such systems.

RECENT

NEWS

LASIGE Summer of Research launch

01/07/2025

The new ‘LASIGE Summer of Research’ initiative, led by our PhD students Ruben Branco and Paulo Canelas, kicked off today, 1 July 2025, with the support of the LASIGE Executive Committee. In this first edition, there will be 20 young trainees, for 3 months, who will have 20 supervisors, including integrated members of LASIGE, doctoral students […]

Miguel G. Silva and Sara C. Madeira research published in Pattern Recognition journal

30/06/2025

Miguel G. Silva, LASIGE’s PhD student, published a paper “Cutting through the noise: Explaining residuals in multivariate time series with motif analysis”, in Pattern Recognition Journal, a top-ranked journal in Pattern Recognition and Signal Processing. The paper co-authors are LASIGE’s integrated researcher Sara C. Madeira from Faculdade de Ciências, Universidade de Lisboa, and Rui Henriques […]

LASIGE panelist @ C-DAYS 2025

26/06/2025

Alex Davidson, LASIGE integrated member, was invited to take part in a panel discussion on “The path to the post-quantum transition: discussing quantum-safe cryptography” at the C-DAYS 2025 conference, promoted by the National Cybersecurity Centre (CNCS), which took place in Estoril from 24 to 26 June 2025. The discussion was launched after the following introductory […]

RECENT

TALKS

5th LASIGE Forum

10/07/2025

Reading Club

08/07/2025

Reading Club

03/07/2025

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ONGOING

PROJECTS

EuroProofNet

European Research Network on Formal Proofs

ATTRACT

ATTRACT-EDIH: European Digital Innovation Hub for Artificial Intelligence and High-Performance Computing

CSESI Hub

CoLAB Smart Energy Services Innovation Hub

I2DT

Intelligent Interoperable Digital Twins

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Diogo F. Soares, Rui Henriques, Sara C. Madeira. TriHSPAM: Triclustering heterogeneous longitudinal clinical data using sequential patterns. Pattern Recognition, 167, Elsevier BV, 2025 [Biblios]

Simon Pommerencke Melgaard, Rasmus Lund Jensen, Pedro Miguel Ferreira, Kamilla Heimar Andersen, Nuno Dionisio, Vinicius Vielmo Cogo, Per Kvols Heiselberg. Fault detection in AHU: A walkthrough for implementation in a Danish educational building. Energy and Buildings, 342, Elsevier BV, 2025 [Biblios]

Mariana Luiza Flávio, Charles Bezerra do Prado, Alan Oliveira de Sá. Simulation of Stealth Attacks in Power Distribution Systems. Master's dissertation, 2025 [Biblios]

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SOFTWARE &

TOOLS

BATS/ACCembly

Android mobile app to use tangible blocks with TopCodes to control the Dash robot. Team @ LASIGE: Filipa Rocha; Ana Pires;...

QUEST

QUEST is a suite of tools integrated in a Eclipse plug-in that aim to ensure compliance of Java implementations of data...

AgreementMakerLight

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

QualWeb extension

The QualWeb acessibility evaluation engine to be used in Chromium based browsers. Team @ LASIGE: João Vicente; António Estriga; Bruno Andrade;...

VETA

VETA is a tool that analyses the performance of several variant prediction methods at different levels. Team @ LASIGE: Alcides Fonseca; Pedro...

DNA Privacy Detector

The DNA privacy detector is a method that systematically detects privacy-sensitive DNA segments coming directly from an input stream, using as...

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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. Alysson Bessani.