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

Tiago Guerreiro at 4.0 by Público

22/10/2021

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 […]

LASIGE’s work @ Proceedings of the ACM on Human-Computer Interaction (CSCW21)

20/10/2021

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 is Associate Editor at Swarm and Evolutionary Computation

18/10/2021

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.

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

DeST

Deep Semantic Tagger

OPTOX

Development and validation of bio-optical ecotoxicological tests in marine phototrophs

INTERPHENO

Fostering High Throughput Plant Phenotyping by an Interdisciplinary Approach

AQUAMON

Dependable Monitoring with Wireless Sensor Networks in Water Environments

View All

Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

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 f{\"u}r Informatik, 2021 [Biblios]

Andreia Sofia Teixeira, Szymon Talaga, Trevor James Swanson, Massimo Stella. Revealing semantic and emotional structure of suicide notes with cognitive network science. Scientific Reports, 11(1), Springer Science and Business Media LLC, 2021 [Biblios]

Nuno M. Rodrigues, João E. Batista, Pedro Mariano, Vanessa Fonseca, Bernardo Duarte, Sara Silva. Artificial Intelligence Meets Marine Ecotoxicology: Applying Deep Learning to Bio-Optical Data from Marine Diatoms Exposed to Legacy and Emerging Contaminants. Biology, 10(9), MDPI AG, 2021 [Biblios]

View All

SOFTWARE &

TOOLS

Genodedup

GenoDedup is an algorithm that integrates efficient similarity-based deduplication and specialized delta-encoding for genome sequencing data. It increases data reduction gains...

ASPA

aspa: a patching tool for JVM class files. aspa derives and applies patches between Java classes compiled to the Java Virtual...

Adaptare

Adaptare, a framework for automatic and dependable adaptation in dynamic environments.

QualWeb

QualWeb is an automatic web accessibility evaluator. QualWeb supports evaluation of pre and post processed pages, and includes some experimental modules...

Appia

Appia is an open source layered communication toolkit implemented in Java and providing extended configuration and programming possibilities. The Appia toolkit...

CMPSim

CMPSim is a web tool that implements a novel approach to measure the similarity between chemical compounds and metabolic pathays using...

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.