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 research in International Journal of Human-Computer Studies

28/05/2025

The paper “Investigating crossmodal correspondences between vibrotactile stimuli, colour, and emotions”, authored by LASIGE integrated member Isabel Neto was published in the top 10% journal International Journal of Human-Computer Studies. The paper was written in collaboration with Isabel Soares (IST, ITI/Larsys), Ana Paiva (IST, INESC), and Hugo Nicolau (IST, ITI/Larsys). The paper explores crossmodal correspondences […]

Isabel Neto publishes in Proceedings of the ACM on Human-Computer Interaction

26/05/2025

LASIGE integrated researcher Isabel Neto co-authored a paper published in the 10% journal Proceedings of the ACM on Human-Computer Interaction. The paper “Reimagining Multidisciplinary Teams: Challenges and Opportunities for LLMs in Cancer MDTs” was co-authored by Soraia Paulo (IST, ITI/Larsys), Nuno Figueiredo (General Surgery, Hospital Lusíadas), Daniel Lopes (IST, ITI/Larsys), and Hugo Nicolau (IST, ITI/Larsys). […]

LASIGE publishes in Proceedings of the ACM on Human-Computer Interaction

23/05/2025

A team of researchers from LASIGE (PhD students Filipa Rocha and David Gonçalves and integrated member Tiago Guerreiro) and the Interactive Technologies Institute has published in Proceedings of the ACM on Human-Computer Interaction (PACMHCI). PACMHI is a top 10% journal, that presents research on the field of Human-Computer Interaction. The paper titled “Exploring Collaboration in […]

RECENT

TALKS

5th LASIGE Forum: Save the date

10/07/2025

LASIGE TALKS: next week!

25/06/2025

Talk @ LASIGE: Lorenzo Jamone

12/06/2025

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ONGOING

PROJECTS

CSESI Hub

CoLAB Smart Energy Services Innovation Hub

Accelerat.ai

Multi-lingual Conversational AI with Modern Contact Centers

HOFGA

The Hardness of Finding Good Algorithms

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

Diogo F. Soares, Rui Henriques, Sara C. Madeira. TriHSPAM: Triclustering heterogeneous longitudinal clinical data using sequential patterns. Pattern Recognition, 167, Elsevier BV, 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]

Mariana Luiza Flávio, Charles Bezerra do Prado, Alan Oliveira de Sá. Simulation of Stealth Attacks in Power Distribution Systems. Master's dissertation, 2025 [Biblios]

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SOFTWARE &

TOOLS

KGsim-benchmark

KGsim-benchmark is a collection of 21 benchmark data sets for large biomedical knowledge graphs similarity evaluation. Team @ LASIGE: Catia Pesquita; Rita...

DOL

DOL is a Dependent Object-oriented Language featuring dependent types, mutable objects and class-based inheritance with subtyping. The DOL compiler is responsible...

NAMS

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

Genodedup

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

DepSky

DepSky is a system that improves the availability, confidentiality and integrity of stored data in the cloud. It reaches this goal...

Datapark

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

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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.