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 study published in Computers in Biology and Medicine

02/02/2026

LASIGE PhD students Hugo Figueiras and José Domingues, and integrated member Nuno Garcia, together with Nuno Matela (IBEB/Ciências ULisboa), published a study in the journal Computers in Biology and Medicine. In the article titled ‘Self-supervised learning for breast cancer detection: A review’, published in the top 10% journal, the authors present a comprehensive analysis of […]

Research on Inclusive and Accessible Health Tracking for Blind and Low-Vision People receives national FCT grant

26/01/2026

LASIGE researcher Rúben Gouveia has successfully obtained funding for his AmbiAccess project, through the FCT’s PEX exploratory call. Health tracking through smartphones and wearables is increasingly common, but much of it still assumes visual interaction – charts, color, and visual patterns – making it difficult for people with visual impairments to benefit and make sense […]

LASIGE’s Executive Committee Elected (2026/2027)

21/01/2026

On January 21, 2026, the LASIGE Scientific Council elected the Executive Committee (EC) for the 2026–2027 term, composed of Tiago Guerreiro (Director), Cátia Pesquita and Vinicius Cogo (Vice-Directors), and Rúben Gouveia (member). Tiago Guerreiro thanked Alysson Bessani, former Director, for his leadership over the past four years (2022-2025) and expressed his gratitude to the Scientific […]

RECENT

TALKS

LASIGE TALKS: Matilde Pato and Nuno Rodrigues

25/02/2026

LASIGE FCT PTDC/PEx Project Proposal – Pitch to Peers Session

11/02/2026

LASIGE TALKS: Sara Silva and Vasco T. Vasconcelos

04/02/2026

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ONGOING

PROJECTS

CancerScan

CancerScan: Smart pathology slide scanner for diagnosis and patient-specific treatment recommendation in oncology

APOSTLE

new Approaches for Secure Distributed Data Processing and Access

HfPT

Health from Portugal

SoftEdIBO

SoftEdIBO – Soft-based robot for inclusive education

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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

QUEST

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

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...

VisuaLeague III – Visual Analytics of Multiple Games

Prototype for analyzing League of Legend games of professional teams using visualization and clustering techniques. This version offers the most wanted...

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...

ARWithMaps+

This work aims to continue the previously developed project, called ARWithMaps, which implements techniques of visualization of points of interest in...

ProPi

ProPi is a tool to statically verify whether message passing programs are free from deadlocks. The tool takes as input a...

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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.