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

Multimodal Machine Learning to Uncover Parkinson’s Disease Progression Profiles

26/10/2026

Parkinson’s disease does not progress in the same way for every patient. This variability remains one of the major challenges in understanding the disease and anticipating how an individual patient may progress. The ParkProfile project, led by Diogo F. Soares, is addressing this challenge by developing advanced artificial intelligence methods to identify and predict different patterns of […]

Leveraging Adversarial AI to Defend Cyber-Physical Systems Against Covert Attacks

22/10/2026

LASIGE integrated researchers Alan Oliveira de Sá (principal investigator) and José Cecílio, together with Gonçalo Fernandes (MSc student), are developing ASTERICS – Adversarial Strategies for counTERing Intelligent CyberattackS, a project funded through the LASIGE/FCT Seed Projects Call 2025. ASTERICS investigates innovative cybersecurity strategies to counter intelligent attacks that leverage Artificial Intelligence (AI) to learn the […]

Securing Trustworthy in Dynamic IoT Networks

20/10/2026

José Cecílio, André Souto, Alan Oliveira de Sá, António Casimiro, LASIGE Integrated Researchers, and João Garcia, Maria G. Silva, LASIGE Researchers, published the paper “Decentralized architecture for ensuring trust and secure handoffs in dynamic IoT networks” in the top 10% journal Computers & Security (Elsevier). Georg Jäger, from the Institute of Computer Science at TU […]

RECENT

TALKS

LASIGE Talks: Catarina Gamboa and Manuel Piçarra

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

QUICK-DNA

QUantum Innovation for Computational Knowledge in DNA

VAPrevention

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

TRACKD

learning Temporal pRogression pAtterns for Chronic Kidney Disease prognosis

Auth4ALL

One Method Does Not Fit All: Co-design of Context-aware Adaptive Mobile Authentication for Older Adults

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Nessrine Farhat, Pierre David, Leah Rifi, Nuno Garcia. Computer vision as a data source for digital twins in manufacturing: A Sim2Real pipeline. Journal of Industrial Information Integration, 54, Elsevier BV, 2026 [Biblius]

Allan da S. Espindola, Altair O. Santin, António Casimiro, Pedro M. Ferreira, Eduardo K. Viegas. Understanding the adversary: A survey of adversarial machine learning in network intrusion detection. Computer Science Review, 62, Elsevier BV, 2026 [Biblius]

Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira. False alarms, real damage: Adversarial attacks using LLM-based models on text-based Cyber Threat Intelligence systems. Future Generation Computer Systems, 184, Elsevier BV, 2026 [Biblius]

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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,...

AgreementMakerLight

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

VETA

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

RoseTrajVis

RoseTrajVis is a system for analyzing trajectories using graphics inspired in wind roses. The elements of the rose include petals that...

SCFS

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

NAMS

NAMS (Non-contiguous Atom Matching Structural Similarity) is a free Webtool to calculate similarity between molecules based on the structural/topological relationships of...

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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.