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

LASIGE hosts the 2nd edition of WideHealth Thematic School

14/06/2022

On July, 11-15, 2022, LASIGE will host the 2nd edition of WideHealth Thematic School, dedicated to Human Factors in Pervasive Health, co-organized by several members of LASIGE’s Accessibility and Ageing research line. It will cover topics such as Need finding, Participatory design, Co-design methodologies, Prototyping, Feasibility Studies, and Tech Transfer, including activities such as lectures, […]

LASIGE publishes @ Automatica

09/06/2022

The paper “An overview of structural systems theory”, authored by LASIGE’s integrated researcher Guilherme Ramos has been published in Automatica, a top-ranked journal (Impact factor: 5.944; Scimago Q1). The paper co-authors are A. Pedro Aguiar (University of Porto) and Sérgio Pequito (Delft University of Technology). This paper provides an overview of the research conducted in […]

1st LASIGE Forum

07/06/2022

Today, June 7, 2022, was held the first LASIGE Forum organized by the Ph.D. Student Commission of LASIGE, composed of Diana Sousa, Diogo Branco, Hugo Simão, João Batista, Paulo Santos, Rohit Kumar and Ruben Branco. The LASIGE Forum is an informal event, to be hosted four times a year, and the goal is to allow […]

RECENT

TALKS

14th WideHealth Seminar: Milene Teixeira

28/06/2022

DSI meetup: Philipp Fleck

27/06/2022

Talks @ LASIGE: Anderson Rocha

21/06/2022

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ONGOING

PROJECTS

Cue Band

wearable for Parkinson's

mIDR

Usable Intrusion Detection & Response on Personal Mobile Devices

iCare4U

Decision support system for personalized medicine in ICUs

AIpALS

Advanced LearnIng Models using Patient Profiles and Disease Progression Patterns for Prognostic Prediction in ALS

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Cláudio Martins, Ibéria Medeiros. Generating Quality Threat Intelligence Leveraging OSINT and a Cyber Threat Unified Taxonomy. ACM Transactions on Privacy and Security, 25(3):1-39, Association for Computing Machinery (ACM), 2022 [Biblios]

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, Mary Tate. Examining the canvas as a domain-independent artifact. Information Systems and e-Business Management, Springer Science and Business Media LLC, 2022 [Biblios]

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SOFTWARE &

TOOLS

Scrapbook

A web platform that supports psychologists in the process of collecting meaningful information about a person, and applying it in reminiscence...

SF4K

A web application to promote healthy eating in children from 2 to 6 years. It has the goal to study the...

OpenRQ

OpenRQ is a Java library that implements the RaptorQ FEC scheme described in RFC 6330. The aim is to provide to...

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...

AgreementMakerLight

AgreementMakerLight is an automated and efficient ontology matching system derived from AgreementMaker that has been in development since the beginning of...

Tsallis Entropy calculator

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

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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.