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

Toastiest greetings

20/12/2024

2025 is coming and we expect it to be promising! We are grateful to have you, our collaborators and partners in the academic community, our funders, suppliers and families in our valuable network, because we want to continue to pursue excellence in our research and have a positive and creative impact on the global community. […]

LASIGE researchers featured on 2024 Stanford’s University top 2% most-cited authors

30/11/2024

Researchers at LASIGE are, again, featured in the top 2% list of the world’s most-cited scientists. This information is annualy compiled by Stanford University (USA) and published by Elsevier BV and highlights the top 2% of scientists globally across various fields, based on standardized citation metrics. It presents data for both career-long and single-year impact. […]

Sara Silva’s book reviewed by Genetic Programming and Evolvable Machines

28/11/2024

The book entitled “Lectures on Intelligent Systems”, co-authored with Sara Silva, LASIGE integrated member, and Leonardo Vanneschi, LASIGE former member, published by Springer, was reviewed by the Genetic Programming and Evolvable Machines, a journal dedicated to the automatic evolution of software and hardware. Beatrice M. Ombuki-Berman, the author of the review, begins her analysis by […]

RECENT

TALKS

LASIGE TALKS: João Ferreira & Hasan Heydari

11/12/2024

LASIGE Talks: Suhail Sherif & Paulo Canelas

27/11/2024

Talks @ DI | Li Weigang

14/11/2024

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ONGOING

PROJECTS

Myriarch

FraMewoRk for a multI-ARCHitecture Internet

CSESI Hub

CoLAB Smart Energy Services Innovation Hub

VAPrevention

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

SMaRtChain

Fast and Energy-efficient Distributed Consensus for Blockchains

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira. Evaluation of LLM-based chatbots for OSINT-based Cyber Threat Awareness. Expert Systems with Applications, 261, Elsevier BV, 2025 [Biblios]

Vasco V. Branco, César Capinha, Jorge Rocha, Luís Correia, Pedro Cardoso. SPECTRE: Standardised Global Spatial Data on Terrestrial SPecies and ECosystems ThREats. Global Ecology and Biogeography, 34(1), Wiley, 2025 [Biblios]

Carlos Simões, Letícia Seixas Pereira, Carlos Duarte. Web Accessibility: An Overlooked Right. In Lecture Notes in Computer Science,HCI International 2024 – Late Breaking Papers, pages 103-122. Springer Nature Switzerland, 2024 [Biblios]

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SOFTWARE &

TOOLS

PPRSSM

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

SCFS

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

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...

QualWeb engine

An automated web accessibility evaluation engine with support for WCAG 2.1 and ACT-Rules. Team @ LASIGE: João Vicente; António Estriga; Bruno...

AgreementMakerLight

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

OpenRQ

OpenRQ is a Java library that implements the RaptorQ FEC scheme described in RFC 6330. The aim is to provide to...

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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.