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

Data Privacy Day

27/01/2023

On January 28 will be celebrated the annual Data Privacy Day, the date on which the Council of Europe’s data protection convention, known as “Convention 108”, was opened for signature, to generate awareness about the importance of data privacy and highlight ways to safeguard personal information. People´s personal data are being processed every second – […]

International Day of Education 2023

24/01/2023

The year 2023 marks the mid-point since the UN adopted the 2030 Agenda for people, planet, and prosperity, with a set of 17 interlocked goals that will come up for review at the SDG Summit on the theme of investing in people Education must be prioritized to accelerate progress towards all the SDGs against the […]

Diogo Azevedo and André Souto publish at Sensors

23/01/2023

The paper “Zgli: A Pipeline for Clustering by Compression with Application to Patient Stratification in Spondyloarthritis”, authored by Diogo Azevedo, LASIGE MSc Student, and LASIGE’s integrated researcher André Souto has been published in Sensors, a top-ranked journal (h5 index: 145). The paper co-authors are Ana Maria Rodrigues and Helena Canhão (EpiDoC Unit, The Chronic Diseases […]

RECENT

TALKS

AiPALS project @ Reitoria ULisboa

31/01/2023

LASIGE Winter Forum

16/12/2022

PhD in Informatics Seminar #2 2022/2023 | DI Ciências ULisboa

15/12/2022

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ONGOING

PROJECTS

BRAINTEASER

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

LAIfeBlood

Artificial Intelligence for Blood Management

SMART2B

Smartness to existing Buildings

THOR

Computer Assisted Thoracic Assessment using POCUS

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Claudio Reginaldo Alexandre, João Balsa. Incorporating machine learning and a risk-based strategy in an anti-money laundering multiagent system. Expert Systems with Applications, 217, Elsevier BV, 2023 [Biblios]

Marco G. Pinheiro, Sara C. Madeira, Alexandre P. Francisco. Short-term electricity load forecasting—A systematic approach from system level to secondary substations. Applied Energy, 332, Elsevier BV, 2023 [Biblios]

Vasco T. Vasconcelos, Francisco Martins, Hugo-Andrés López, Nobuko Yoshida. A Type Discipline for Message Passing Parallel Programs. ACM Transactions on Programming Languages and Systems, 44(4):1-55, Association for Computing Machinery (ACM), 2022 [Biblios]

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SOFTWARE &

TOOLS

QUEST

QUEST is a suite of tools integrated in a Eclipse plug-in that aim to ensure compliance of Java implementations of data...

B3PP

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

DepSky

DepSky is a system that improves the availability, confidentiality and integrity of stored data in the cloud. It reaches this goal...

T-CBIR

T-CBIR supports searching large scale encrypted image databases based on the images’ visual contents. T-CBIR leverages Searchable Symmetric Encryption (SSE) techniques,...

BFT-SMaRt

BFT-SMaRt is a high-performance Byzantine fault-tolerant state machine replication library developed in Java with simplicity and robustness as primary requirements. Our...

Epidemiology Ontology

The Epidemiology Ontology aims at increasing the amount of epidemiological data available, improving disease surveillance systems, and promoting the collaboration among...

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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.