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

Nuno Rodrigues, João Batista, Pedro Mariano and Sara Silva work published in Biology journal

11/10/2021

The paper “Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants”, authored by LASIGE’s PhD student Nuno M. Rodrigues has been published in the Biology journal (MDPI), a top-ranked journal (Scimago Q1). The paper co-authors are LASIGE’s PhD student João E. Batista, LASIGE senior […]

Ricardo Carvalho, Daniela Oliveira, Cátia Pesquita @ TOP 5 H-INNOVA AWARD 2021

08/10/2021

Ricardo Carvalho, LASIGE’s MSc student, entered the H-INNOVA – HEALTH INNOVATION AWARD competition under the supervision of Daniela Oliveira and Catia Pesquita, LASIGE’s researchers, and achieved the TOP 5 among more than 170 competitors worldwide. Ricardo presented the project at the Award Ceremony held on October 1st, 2021. H-INNOVA acknowledges and awards the best projects […]

LASIGE Welcome Day’21

06/10/2021

Next Tuesday, October 12, LASIGE welcomes its new members and marks the beginning of the 2021/2022 academic year with the event LASIGE Welcome Day’21. The focus of this initiative is to welcome new students and researchers and make a brief presentation of LASIGE’s vision, as well as give important practical information about LASIGE. The new […]

RECENT

TALKS

Data Science Seminars: André Rodrigues

08/10/2021

5th WideHealth Seminar: Hristijan Gjoreski

14/09/2021

RSS Meetup: Catarina Gamboa

22/07/2021

View All

ONGOING

PROJECTS

VEDLIoT

Very Efficient Deep Learning IoT platform

uPVN

User-Centric Programmable Virtual Networks

WideHealth

Widening Research on Pervasive and eHealth

DKG

Distributed Knowledge Graphs

View All

Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Marcel Müller, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira. Explainable Models of Disease Progression in ALS: Learning from Longitudinal Clinical Data with Recurrent Neural Networks and Deep Model Explanation. Computer Methods and Programs in Biomedicine Update, Elsevier BV, 2021 [Biblios]

Naercio Magaia, George Mastorakis, Constandinos Mavromoustakis, Evangelos Pallis, Evangelos K. Markakis. Intelligent Technologies for Internet of Vehicles, Springer International Publishing, Internet of Things, 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]

View All

SOFTWARE &

TOOLS

TryIt

TryIt, learn and use RSS tools straight from your web browser.

NAMS

NAMS (Non-contiguous Atom Matching Structural Similarity) is a free Webtool to calculate similarity between molecules based on the structural/topological relationships of...

Play JBT – Mobile Application for the Tropical Botanical Garden of Lisbon

Mobile application (Android and iOS), which acts mainly as a helping guide for visitors of the Lisbon Tropical Botanical Garden. This...

CESSM

CESSM (Collaborative Evaluation of GO-based Semantic Similarity Measures) is an online tool for the automated evaluation of GO-based semantic similarity measures,...

Ecological Mapping

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

SASUL APP

SASULisboa App is a app available for Android and iOS that enables all the students to check the menus and balance...

View All

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.