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 supports ASSETS 2026

12/10/2026

The ASSETS conference is the premier forum for presenting research on the design, evaluation, use, and education related to computing for people with disabilities and older adults. Aware of the event’s significance and its alignment with LASIGE’s Inclusive Human-Computer Interaction (IHCI) research line of excellence, the centre has decided to support the 2026 edition, which […]

LASIGE researchers explore how different protein representations impact GNN-based protein-protein interaction prediction

08/10/2026

LASIGE researchers Laura Balbi, Rita Sousa, Pedro Cotovio, and Cátia Pesquita published a new study, titled “The role of protein embeddings for protein-protein interaction prediction with graph neural networks”, in Briefings in Bioinformatics (Top 10% journal according to Scimago, Scopus and Web of Science rankings). The paper investigates how different protein representations can improve protein-protein […]

A roadmap to more trustworthy network intrusion detection under adversarial machine-learning attacks

06/10/2026

LASIGE researchers have published a new study examining the threat of adversarial machine learning to network intrusion detection systems in the top 10% journal Computer Science Review. The paper, titled “Understanding the Adversary: A Survey of Adversarial Machine Learning in Network Intrusion Detection”, results from the collaboration of PhD student Allan S. Espindola and integrated […]

RECENT

TALKS

LASIGE Talks: Manuel Piçarra and tbd

04/11/2026

LASIGE Welcome Day 2026

07/10/2026

LASIGE Talks: David Gonçalves and Afonso Simões

23/09/2026

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ONGOING

PROJECTS

GameReflect

Embedding Multimodal Health Data in Mainstream Games for Long-Term Healthy Behaviors

GameBot

Digital Game Interactions with Robots

BEiNG-WISE

Behavioral Next Generation in Wireless Networks for Cyber Security

RobustSAR

Robust and reliable image processing based on CNNs for safe robot navigation

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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

Epidemiology Ontology

The Epidemiology Ontology aims at increasing the amount of epidemiological data available, improving disease surveillance systems, and promoting the collaboration among...

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,...

AccessBot

A tool for assisting web accessibility evaluations. Team @ LASIGE: Tânia Frazão; Carlos Duarte

Æon compiler

A code compiler and synthesizer in the homonymous language, implemented in Python. The Æon language supports refined and dependent types with...

Ecological Mapping

Ecological Mapping is a mobile application that is used by experts and scientists to better understand the ecological landscape of urban...

PLACM

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

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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 Tiago Guerreiro.