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.

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.

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.

RECENT

NEWS

The book “Intelligent Technologies for Internet of Vehicles”, edited by Naercio Magaia, is available online

09/06/2021

LASIGE’s Naercio Magaia is the lead editor of the recently published book “Intelligent Technologies for Internet of Vehicles”. The book is published by Springer as part of its Internet of Things book series. The book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources […]

Filipe Galvão, Soraia M. Alarcão and Manuel J. Fonseca’s work published in Sensors Journal

07/06/2021

The paper “Predicting Exact Valence and Arousal Values from EEG”, authored by Filipe Galvão, Soraia M. Alarcão and Manuel J. Fonseca, LASIGE researchers, has been published at MDPI Sensors Journal, a top-ranked journal (h5-index: 104). In the paper, the authors propose a model for predicting the exact values of valence and arousal from EEG signals, […]

SONAAR presented in the “Mosen At Large” podcast

02/06/2021

Carlos Duarte, LASIGE integrated member, presented the results of the SONAAR project in the “Mosen At Large” podcast. The interview aired on Sunday, June 6. “Mosen At Large” is one of the most listened podcasts by the blind community, reaching thousands of listeners every week. The podcast focuses on technology from the blindness perspective. Jonathan […]

RECENT

TALKS

Talks@LASIGE: Paulo Veríssimo

15/06/2021

RSS Meetup June: Miltos Allamanis

08/06/2021

3rd WideHealth Seminar: Orhan Konak

01/06/2021

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ONGOING

PROJECTS

BRAINTEASER

BRAINTEASER - BRinging Artificial INTelligencE home for a better cAre of amyotrophic lateral sclerosis and multiple SclERosis

VEDLIoT

Very Efficient Deep Learning IoT platform

SEEDS

A holistic design of secure vehicular networks: communications, data caching and blockchain services

LEAD-ME

Leading Platform for European Citizens, Industries, Academia and Policymakers in Media Accessibility

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Naercio Magaia, George Mastorakis, Constandinos X. Mavromoustakis, Evangelos Pallis, Evangelos K. Markakis. Intelligent Technologies for Internet of Vehicles, Springer Nature, 2021[Biblios]

Filipe Galvão, Soraia M. Alarcão, Manuel J. Fonseca. Predicting Exact Valence and Arousal Values from EEG. Sensors, 21(10), MDPI AG, 2021[Biblios]

Andreia S. Martins, Marta Gromicho, Susana Pinto, Mamede de Carvalho, Sara C. Madeira. Learning Prognostic Models using Disease Progression Patterns: Predicting the Need for Non-Invasive Ventilation in Amyotrophic Lateral Sclerosis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 1-1, Institute of Electrical and Electronics Engineers (IEEE), 2021[Biblios]

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SOFTWARE &

TOOLS

Ecological Mapping

Ecological Mapping is a mobile application that is used by experts and scientists to better understand the ecological landscape of urban...

SGBisim

This tool decides whether two words are bisimilar, according to the labelled transition system defined by the given grammar’s productions.

CFSTEquiv

A tool that tests if two context-free session types are equivalent.

FreeST

A concurrent programming language, based on a core functional language with primitives to fork new threads, create channels and exchange messages...

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...

Æon compiler

A code compiler and synthesizer in the homonymous language, implemented in Python. The Æon language supports refined and dependent types with...

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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. Vasco T. Vasconcelos.