LASIGE

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

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

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

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

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

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

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

Invited Talk @ “Tecnologias na Demência”

Invited Talk @ “Tecnologias na Demência”

29/11/2021

Manuel J. Fonseca, LASIGE’s integrated researcher, was an invited speaker at the Symposium “Tecnologias na Demência” (Technologies in Dementia), this November 26, 2021, organized by Casa de Saúde da Idanha. His presentation was about the KeepsakeBox platform, a digital platform to support reminiscence activities, which is being developed at LASIGE. More information about the program […]

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ADMORPH’s project @ YouTube channel

ADMORPH’s project @ YouTube channel

26/11/2021

Today, a promotional video of the EU H2020 ADMORPH’s project, lead at LASIGE by our integrated member António Casimiro, was released. In this project, we evaluate the hypothesis of systems’ adaptivity, foremost in terms of dynamically remapping of application components to processing cores, using a novel, holistic approach to the specification, design, analysis, and runtime […]

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World Science Day

World Science Day

24/11/2021

Today is World Science’s Day, which aims to exalt the role of science in human development, as well as highlight great names in science, set challenges for the future, and incite curiosity by science in younger generations. LASIGE is aware of it and that is why we celebrate daily, and especially today, science because that […]

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

to
Vinicius Vielmo Cogo, Alysson Bessani. Brief Announcement: Auditable Register Emulations. In 35th International Symposium on Distributed Computing (DISC 2021), pages 53:1-53:4. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021 [Biblios]

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. Vasco T. Vasconcelos.