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

Eight LASIGE PhD Students Awarded FCT Research Scholarships

28/08/2025

LASIGE is delighted to announce that eight of our students have been awarded scholarships in the 2025 FCT Call for PhD Studentships across all scientific domains. This year, the call will fund a total of 1,550 scholarships, with 550 specifically designated for non-academic settings. Securing these scholarships is a significant achievement, as the approval rate […]

LASIGE projects selected for funding under the 2024 FCT PeX call

26/08/2025

LASIGE has had four projects selected for funding under the 2024 FCT Call for Exploratory Research Projects (PeX), covering all scientific fields. This call was highly competitive, with a provisional success rate of 16%, based on the number of applications received. The Principal Investigators for the selected projects are Isabel Neto, João Guerreiro, Soraia Meneses […]

José Cecílio, Márcia Barros, and Alan Oliveira research published in Scientific Data

21/08/2025

José Cecílio, Márcia Barros, and Alan Oliveira, LASIGE integrated researchers, published the paper “Leveraging Sustainable Household Energy and Environment Resources Management with Time-Series” in the top 10% journal Scientific Data. The paper was also co-authored by LASIGE’s former MSc student Tiago Rodrigues. This research presents the SHEERM dataset, a novel and extensive dataset featuring comprehensive […]

RECENT

TALKS

Talks @ LASIGE: Andreia Sofia Teixeira

18/09/2025

Talk @ LASIGE: Shlomo Berkovsky

08/09/2025

Talk @ LASIGE: Mattia Petrolo

08/09/2025

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ONGOING

PROJECTS

MOSA

Mobile Optimization on Security through Algorithmic Improvement

DETECT2AD

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

I2DT

Intelligent Interoperable Digital Twins

HARIA

Human-Robot Sensorimotor Augmentation

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

João Mendes, Bernardo Oliveira, Carolina Araújo, Joana Galrão, Ana M. Mota, Nuno C. Garcia, Nuno Matela. Deep learning in breast cancer risk prediction: a review of recent applications in full-field digital mammography. Frontiers in Oncology, 15, Frontiers Media SA, 2025 [Biblios]

Simon Pommerencke Melgaard, Rasmus Lund Jensen, Pedro Miguel Ferreira, Kamilla Heimar Andersen, Nuno Dionisio, Vinicius Vielmo Cogo, Per Kvols Heiselberg. Fault detection in AHU: A walkthrough for implementation in a Danish educational building. Energy and Buildings, 342, Elsevier BV, 2025 [Biblios]

Merve Ekin, Krzysztof Krejtz, Carlos Duarte, Letícia Seixas Pereira, Ann Marcus-Quinn, Izabela Krejtz. Impact of web accessibility on cognitive engagement in individuals without disabilities: Evidence from a psychophysiological study. PLOS One, 20(7), Public Library of Science (PLoS), 2025 [Biblios]

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SOFTWARE &

TOOLS

MIL

MIL (Multithreaded Intermediate Language) is an assembly language targeted at an abstract multi-processor equipped with a shared main memory. Each processor...

Epidemiology Ontology

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

ProPi

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

MER

MER is a Named-Entity Recognition tool which given any lexicon and any input text returns the list of terms recognized in...

ARWithMaps+

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

RT-PSS

Real-Time Proactive Secret Sharing Library for RTAI is an implementation of the Shamir’s secret sharing scheme and Herzberg’s proactive secret sharing...

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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.