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

Micro-Goals: Rethinking Goal-Setting in Physical Activity Tracking

11/08/2026

The paper “Breaking it Down: Micro Goals in Physical Activity Tracking”, authored by Ruben Gouveia (LASIGE), Evangelos Karapanos and Christos Themistocleous (CUT) introduces the concept of micro-goals, such as walking a certain number of steps within the next 10 minutes, as an alternative to traditional daily activity targets. While existing activity trackers often rely on […]

Hugo Miranda appointed ISOC Community Fellow 2026

31/07/2026

Hugo Miranda, LASIGE integrated member, has been appointed Internet Society (ISOC) Community Fellow 2026, for the 2026–2029 term, one of 50 selected from 800 applications from various countries. The ISOC supports and promotes the development of the Internet as a global technical infrastructure, a resource to enrich people’s lives, and a force for good in society. […]

Rethinking Personal Health Tools for Complex Chronic Conditions

28/07/2026

The paper “Between Control and Uncertainty: Understanding Self-Tracking Practices in Enigmatic Disease Management”, authored by LASIGE’s MSc student Maria Jerónimo and integrated researchers Tiago Guerreiro and Ruben Gouveia, explores how people living with poorly understood and highly individualised chronic conditions use self-tracking to manage the uncertainty and fluctuations associated with their illnesses. While self-tracking tools […]

RECENT

TALKS

Computational Complexity Conference

03/08/2026

“Complexity as a Kaleidoscope” Workshop

30/07/2026

Summer of Research 2026: Session#11

23/07/2026

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ONGOING

PROJECTS

RobotsVote

Do robots influence your vote?

NavXR

Navigation for Blind People using Extended Reality

VAPrevention

Randomised controlled trial and economic evaluation of a person-centred digital intervention to prevent diabetes in high-risk adults

QUICK-DNA

QUantum Innovation for Computational Knowledge in DNA

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Nuno M. Rodrigues, Vanessa F. Fonseca, Renato Mamede, Susanne E. Tanner, Bernardo Duarte, Sara Silva. Integrating elemental and total reflection X-ray spectral fingerprints with machine learning for advanced seafood traceability. Food Control, Elsevier BV, 2026 [Biblios]

Nuno Fachada, João P. Matos-Carvalho, Carlos M. Fernandes. A catch-all discrete distribution: Short description and main properties. Examples and Counterexamples, 8, Elsevier BV, 2025 [Biblios]

Guglielmo Faggioli, Laura Menotti, Stefano Marchesin, Isotta Trescato, Lara Ahmad, Helena Aidos, Anca Loredana Alungulese, Riccardo Bellazzi, Roberto Bergamaschi, Giovanni Birolo, Pietro Bosoni, Maria Fernanda Cabrera-Umpiérrez, Paola Cavalla, Adriano Chió, Arianna Dagliati, Mamede de Carvalho, Piero Fariselli, José Manuel García Dominguez, Sergio González Martínez, Marta Gromicho, Alessandro Guazzo, Aleksandar Jovanović, Borko Kostić, Enrico Longato, Sara C. Madeira, Umberto Manera, José Luis Muñoz Blanco, Eleonora Tavazzi, Erica Tavazzi, Elena Trasobares Iglesias, Vladimir Urošević, Martina Vettoretti, Giorgio Maria Di Nunzio, Gianmaria Silvello, Barbara Di Camillo, Nicola Ferro. The BRAINTEASER Datasets: Clinical, Wearable and Environmental Data for ALS & MS Progression Modeling. Scientific Data, 12, Springer Science and Business Media LLC, 2025 [Biblios]

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SOFTWARE &

TOOLS

T-CBIR

T-CBIR supports searching large scale encrypted image databases based on the images’ visual contents. T-CBIR leverages Searchable Symmetric Encryption (SSE) techniques,...

SCFS

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

KGsim-benchmark

KGsim-benchmark is a collection of 21 benchmark data sets for large biomedical knowledge graphs similarity evaluation. Team @ LASIGE: Catia Pesquita; Rita...

AgreementMakerLight

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

PLACM

A tool for visualization of large-scale volumes of accessibility data. Team @ LASIGE: Bruno Andrade; Carlos Duarte

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. Alysson Bessani.