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 @ Computability in Europe 2025 Conference

18/07/2025

Gilda Ferreira, LASIGE PhD collaborator and CEMS.UL integrated member, was Chair of the Program Committee of the 21st edition of the International Conference Computability in Europe (CiE), hosted by Ciências ULisboa, from July 14 to 18, 2025. This conference is part of the annual series promoted by the Association CiE, which aims to advance and […]

José Coelho, Diogo Lima and Carlos Duarte published in Information Technology & Tourism

11/07/2025

The paper “ElderWander: an accessible digital tourism platform for older adults”, co-authored by LASIGE researchers José Coelho, Diogo Lima and Carlos Duarte, was recently published in the international journal Information Technology & Tourism, a top-ranked journal in both Information Systems, Computer Science Applications and Tourism, Leisure and Hospitality Management. This research addresses the challenge of […]

LASIGE Talks’ 2025 edition

09/07/2025

The 13th and final LASIGE Talks edition of the 2025 academic year took place on June 25, highlighting the high-quality and diverse research carried out within the LASIGE research unit. The event has served as a valuable platform for sharing distinguished work conducted by LASIGE members. This edition featured a distinguished paper presentation, a year-in-review […]

RECENT

TALKS

Summer of Research: Pitch Talks

21/07/2025

Summer of Research: Session #5

17/07/2025

Distinguished Lecture: Meredith R. Morris

15/07/2025

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ONGOING

PROJECTS

PlantPathoRec

Recommender system for biological control agents against plant pathogens

EuroProofNet

European Research Network on Formal Proofs

I2DT

Intelligent Interoperable Digital Twins

BRAINTEASER

BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

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]

André Esteves, Sara C. Madeira, Helena Aidos. Temporal Phenotyping of ALS Patients using Machine Learning. Master's dissertation, 2025 [Biblios]

Paulo Canelas, Bradley Schmerl, Alcides Fonseca, Christopher S. Timperley. The Usability Argument for ROS-based Robot Architectural Description Languages. In Proceedings of the 15th Annual Workshop on the Intersection of HCI and PL, 2025 [Biblios]

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SOFTWARE &

TOOLS

Datapark

A platform that enables subjective and objective data collection for Parkinson’s disease. Futhermore, improves data visualization for clinicians. Team @ LASIGE:...

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...

DepSpace

DepSpace (Dependable Tuple Space) is fault and intrusion-tolerant secure tuple space implementation. The main objective of the system is to provide...

Play JBT – Mobile Application for the Tropical Botanical Garden of Lisbon

Mobile application (Android and iOS), which acts mainly as a helping guide for visitors of the Lisbon Tropical Botanical Garden. This...

PPRSSM

PPRSSM is a entity linking software based on Personalized PageRank using Semantic Similarity Measures. Team @ LASIGE: Francisco M. Couto

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.