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.
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.
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.
Tiago Guerreiro, LASIGE’s integrated researcher, this October 19, 2021, was at the program “4.0 by Público”, at the “Ao Vivo” Público’s streaming platform, talking about “Is technology really for everyone?”. The program “4.0” is about technology, innovation, and the future, written by journalists João Pedro Pereira, Karla Pequenino, and Pedro Esteves. At this talk, questions […]
The paper “Promoting Self-Efficacy Through an Effective Human-Powered Nonvisual Smartphone Task Assistant”, co-authored by LASIGE’s integrated researchers, André Rodrigues and Tiago Guerreiro, and André Santos, LASIGE’s research engineer, has been accepted for presentation and publication as part of the Proceedings of the ACM on Human-Computer Interaction (CSCW21), a top-ranked publication (ranked #9 in the Google […]
Sara Silva has been appointed associate editor of Swarm and Evolutionary Computation, a journal published by Elsevier. The peer-reviewed journal (Scimago Q1 and IF=7.177) aims at reporting the most recent research and developments in the area of nature-inspired intelligent computation based on the principles of swarm and evolutionary algorithms.
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.