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, and applied computing to life and medical sciences. LASIGE’s activities are organised around six lines of excellence supported by key quality indicators.

Accessibility and Ageing

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 Accessibility and Ageing (AA) 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.

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.

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.

Resilient Distributed and Networked Systems

Resilient Distributed and Networked Systems (RDNS) investigates models, protocols and architectures that are suitable for applications with strong dependability requirements, namely applications that needto 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.

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.

RECENT

NEWS

LASIGE @ INForum 2023

20/09/2023

Several papers, extended abstracts, and posters of LASIGE researchers were presented at INForum 2023, held in Porto, on September 7-8, 2023, as: João Ferreira, Zygimantas Jasiunas, José Cecílio and Pedro Ferreira. “Real-life assessment of household appliances”; Tomás Pedro, Alan Oliveira, João Cintra and Nuno Garcia. “Aprendizagem Automática para Deteção de Embarcações”; Gil Silva, Andreia Mordido […]

LASIGE accepted @ NDSS’24

19/09/2023

LASIGE’s integrated member Bernardo Ferreira has co-authored a research paper accepted for publication at NDSS’24 – The 2024 Network and Distributed System Security Symposium, a top cybersecurity conference (Core A*). The paper, entitled “Flow Correlation Attacks on Tor Onion Service Sessions with Sliding Subset Sum”, presents a new attack on the TOR network that can […]

ADMORPH project final review

18/09/2023

The ADMORPH project final review took place on September 14, with all participants and reviewers joining remotely by videoconference (as shown in the screenshot). Despite the challenging setup, several demos were shown over the day, most of them making use of videos prepared in advance, but also with live demos. LASIGE researchers António Casimiro, José […]

RECENT

TALKS

LASIGE Project Proposal Pitch to Peers

25/10/2023

LASIGE Welcome Day 2023

18/10/2023

Reading Club in HBI and DSI #7

20/07/2023

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ONGOING

PROJECTS

CIRCLES

Controlling mIcRobiomes CircuLations for bEtter food Systems

Ghost Dance

A methodology for the analysis of dance movement in interaction with virtual reality

DL-CADET

Deep multimodal Learning for breast CAncer DETection

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

Bernardo Gomes, José Coelho, Helena Aidos. A survey on traffic flow prediction and classification. Intelligent Systems with Applications, 20, Elsevier BV, 2023 [Biblios]

Nuno Alexandre Peixoto Silva, Maurício Ferreira , Marcos Carvalho , André Souto, Nikola Paunkovic , Paulo Mateus, Armando Pinto. A Network Server for Distributing Quantum Random Numbers. In International Conf. on Transparent Networks – ICTON, 2023 [Biblios]

Leon Ingelse, José-Ignacio Hidalgo, José Manuel Colmenar, Nuno Lourenço, Alcides Fonseca. Comparing Individual Representations in Grammar-Guided Genetic Programming for Glucose Prediction in People with Diabetes. In Proceedings of the Companion Conference on Genetic and Evolutionary Computation. ACM, 2023 [Biblios]

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SOFTWARE &

TOOLS

OTD (OSINT Threat Detector pilot)

In the scope of the DiSIEM H2020 project, a pilot was built as a service to select cybersecurity threat intelligence from...

T-CBIR

T-CBIR supports searching large scale encrypted image databases based on the images’ visual contents. T-CBIR leverages Searchable Symmetric Encryption (SSE) techniques,...

MER

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

Gerador declarações de acessibilidade

A tool for generating accessibility declarations according to the Portuguese model. Team @ LASIGE: Carlos Duarte

RoseTrajVis

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

QualWeb extension

The QualWeb acessibility evaluation engine to be used in Chromium based browsers. Team @ LASIGE: João Vicente; António Estriga; Bruno Andrade;...

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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.