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

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 […]

Exploring malicious and white worm emergent behavior across IoT networks

19/01/2026

The paper “Dynamics of defensive and malicious worm co-propagation across networked systems”, co-authored by LASIGE’s integrated researcher Andreia Sofia Teixeira, was published in the journal Chaos, Solitons & Fractals (SCIMAGO Q1). The research explores how the proliferation of Internet of Things (IoT) devices has greatly enhanced global connectivity but has also amplified cybersecurity risks, particularly […]

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

DETECT2AD

Two Alzheimer’s - Diagnosing distinct types of Alzheimer’s disease in CSF and plasma

VAPrevention

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

AmbiAccess

Accessible Health Tracking with Ambient Feedback for Visually Impaired People

CancerScan

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

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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

PESTT

PESTT (PESTT an Educational Testing Tool) is an Eclipse plug-in for learning and designing unit tests for the Java language. Currently,...

BFT ordering service for Hyperledger Fabric

This is a Byzantine fault-tolerant (BFT) ordering service for Hyperledger Fabric. This BFT ordering service is a wrapper around BFT-SMaRt, a...

ProPi

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

FreeST

A concurrent programming language, based on a core functional language with primitives to fork new threads, create channels and exchange messages...

BiOnt

BiOnt is a system to perform relation extraction using a deep learning system. BiOnt, employs four types of biomedical ontologies, namely,...

Genodedup

GenoDedup is an algorithm that integrates efficient similarity-based deduplication and specialized delta-encoding for genome sequencing data. It increases data reduction gains...

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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.