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

Guilherme Ramos research published in Systems and Control Letters

30/11/2022

The paper “A resilient continuous-time consensus method using a switching topology”, authored by LASIGE’s integrated researcher Guilherme Ramos has been published in Systems and Control Letters, a top-ranked journal (Impact factor: 2.762; Scimago Q1). The paper co-authors are Daniel Silvestre (Faculdade de Ciências e Tecnologia da Universidade NOVA, Lisboa), António Pedro Aguiar (Faculdade de Engenharia […]

SATO participates at Enlit Europe 2022

29/11/2022

Pedro Ferreira, LASIGE integrated member and SATO’s project coordinator, presents the project at the Enlit Europe 2022, taking place in Frankfurt, Germany, from November 29 to December 1, 2022, during the session ‘Europe’s Digital Decade: Part Two, Data’. Filipe Silva, representative of the Portuguese commercial/industrial partner EDP, will also attend the event and be available […]

LASIGE and the University of Tokyo collaboration

28/11/2022

João Batista, LASIGE’s PhD student, moved to Tokyo for a three-month collaboration with professor Hitoshi Iba and his PhD student Kotaro Pindur, from IBA Laboratory at the University of Tokyo, in November 2022. The aim of this collaboration is to study feature engineering using genetic programming to evolve sets of features that are tailored to […]

RECENT

TALKS

LASIGE Winter Forum

16/12/2022

Talks@DI: Luís Pinto

07/12/2022

Data Science Seminars: Daniel Gonçalves

02/12/2022

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ONGOING

PROJECTS

THOR

Computer Assisted Thoracic Assessment using POCUS

XIVT

eXcellence In Variant Testing

CIRCLES

Controlling mIcRobiomes CircuLations for bEtter food Systems

DL-CADET

Deep multimodal Learning for breast CAncer DETection

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

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SOFTWARE &

TOOLS

BATS/ACCembly

Android mobile app to use tangible blocks with TopCodes to control the Dash robot. Team @ LASIGE: Filipa Rocha; Ana Pires;...

DepSky

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

VETA

VETA is a tool that analyses the performance of several variant prediction methods at different levels. Team @ LASIGE: Alcides Fonseca; Pedro...

JDNA

JDNA is a referential compressor for aligned DNA files.

Epidemiology Ontology

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

KGsim-benchmark

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

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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.