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

Sara Madeira won “Computer Sciences and Informatic Engineering-2021 prize” by ULisboa/CGD

20/05/2022

The University of Lisbon (ULisboa), with the support of Caixa Geral de Depósitos (CGD), presents every year the “University of Lisbon / Caixa Geral de Depósitos Scientific Prizes”, which aims to reward scientific research activity and encourage the practice of publication in international journals of recognized quality. This year, Sara C. Madeira, LASIGE’s integrated member, […]

Ibéria Medeiros and Cláudio Martins published in ACM Transactions on Privacy and Security

20/05/2022

Cláudio Martins (LASIGE’s former MSc’ student) and Ibéria Medeiros, LASIGE’s integrated researcher, have published work for improving the quality of cyber threat intelligence in the ACM Transactions on Privacy and Security. The paper, titled “Generating Quality Threat Intelligence Leveraging OSINT and a Cyber Threat Unified Taxonomy”, reflects his master thesis work, on Master in Information […]

LASIGE at Encontro Ciência 2022

18/05/2022

The latest edition of Encontro Ciência 2022, promoted by Fundação para a Ciência e Tecnologia (FCT), the Foundation that supports Science and Technology in Portugal, was in person and was held on May 16-18, 2022. LASIGE took the opportunity to present some of its work to an audience composed not only of researchers but also […]

RECENT

TALKS

Empowering Youth and Communities Through Art, Science and Technology: Agnes Chavez

23/05/2022

PhD in Informatics Seminar #7 2021/2022 | DI Ciências ULisboa

18/05/2022

CPS and RDNS meetup: Zygimantas Jasiunas and Tiago Carvalho

16/05/2022

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ONGOING

PROJECTS

KATY

Knowledge At the Tip of Your fingers: Clinical Knowledge for Humanity

AQUAMON

Dependable Monitoring with Wireless Sensor Networks in Water Environments

DKG

Distributed Knowledge Graphs

CERCIRAS

Connecting Education and Research Communities for an Innovative Resource Aware Society

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Marta D.M. Noronha, Rui Henriques, Sara C. Madeira, Luis E. Zárate. Impact of metrics on biclustering solution and quality: A review. Pattern Recognition, 127, Elsevier BV, 2022 [Biblios]

Pedro Antunes, David Johnstone, Nguyen Hoang Thuan, Gert-Jan de Vreede. Delivering evidence-based management services: rising to the challenge using design science. Knowledge Management Research & Practice, 1-16, Informa UK Limited, 2022 [Biblios]

Pedro Antunes, Mary Tate. Business process conceptualizations and the flexibility-support tradeoff. Business Process Management Journal, Emerald, 2022 [Biblios]

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SOFTWARE &

TOOLS

ProPi

ProPi is a tool to statically verify whether message passing programs are free from deadlocks. The tool takes as input a...

CONFIDENT

CONFIDENT is a toolchain for effective construction and evolution of REST APIs. CONFIDENT aims at supporting all phases of RESTful software...

BFT ordering service for Hyperledger Fabric

This is a Byzantine fault-tolerant (BFT) ordering service for Hyperledger Fabric. This BFT ordering service is a wrapper around BFT-SMaRt, a...

Tsallis Entropy calculator

The Tsallis Entropy calculator is a tool developed to compute and compare several versions of conditional Tsallis entropies existing in the...

B3PP

B3PP (Blood Brain Barrier Penetration Prediction) is a web application that interfaces a machine learning model designed to predict the Blood-Brain...

RT-PSS

Real-Time Proactive Secret Sharing Library for RTAI is an implementation of the Shamir’s secret sharing scheme and Herzberg’s proactive secret sharing...

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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. Alysson Bessani.