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, theory of computing, with an emphasis on computational complexity, and applied computing to life and medical sciences. LASIGE’s activities are organised around seven lines of excellence supported by key quality indicators.

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.

Dependable and Secure Decentralized Systems

Dependable and Secure Decentralized Systems (DS2) investigates models, protocols and architectures that are suitable for applications with strong dependability requirements, namely applications that need to 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.

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.

Inclusive Human-Computer Interaction

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 Inclusive Human-Computer Interaction (IHCI) 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.

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.

Theory of Computing

Theory of Computing (ToC) is dedicated to the foundational, theoretical study of computation: What is a computer? What is computation and where does it manifest? What are the capabilities and limitations of different kinds of computers? The method we use to study this question is the mathematical method: we use precise mathematical definitions to model various systems where computation (or a computation-like phenomenon) occurs, and then we use rigorous, deductive reasoning (i.e., mathematical proofs) to understand the behavior and properties of such systems.

RECENT

NEWS

Project Overview with SATO’s Coordinators

14/10/2024

The Project Overview with SATO’s Coordinators is now available! Pedro Ferreira and Guilherme Carrilho da Graça offer an in-depth look into the SATO project. To watch the video, click here or visit https://youtu.be/U75CEMZmUHk?si=8yRw_Xd4TYMFXdta.

LASIGE Welcome Day 2024

04/10/2024

Save the date: October 9, 2024, will receive once again another LASIGE Welcome Day! We will welcome the new members of the Research Centre, including the new students, and the new assistant professors of the Department of Informatics of the Faculty of Sciences of the University of Lisbon (2024/2025), and we will also strengthen our […]

7th EU SATO’s Project General Assembly

28/09/2024

The SATO project co-located its 7th and final face-to-face General Assembly (GA) in Luxembourg on 25 and 26 of September 2024, alongside the project’s Final Conference. Organised by the project coordinators, the meeting was attended by the following LASIGE members: Pedro Ferreira, the Project Coordinator and Principal Investigator at LASIGE, Manuel Fonseca, and Vinicius Cogo, all integrated […]

RECENT

TALKS

Talks@LASIGE: Xiaojie Zhu

16/10/2024

Reading Club in HBI and DSI #16

15/10/2024

RSS meetup: Paulo Canelas (Uber) and Catarina Gamboa (Gitar)

14/10/2024

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ONGOING

PROJECTS

AIpALS

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

PAIR-LUNG

Patient-derived lung cancer organoids for recreating tumor spread through AIR spaces phenomenon

EuroProofNet

European Research Network on Formal Proofs

CERCIRAS

Connecting Education and Research Communities for an Innovative Resource Aware Society

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

João Mendes, Bernardo Oliveira, Carolina Araújo, Joana Galrão, Nuno C. Garcia, Nuno Matela. Artificial intelligence on breast cancer risk prediction. Societal Impacts, 4, Elsevier BV, 2024 [Biblios]

João Mendes, Nuno C. Garcia, Nuno Matela. Artificial Intelligence for Hierarchical Tumor Masking Potential Classification in Mammograms. Innovative Practice in Breast Health, Elsevier BV, 2024 [Biblios]

Andreia S. Martins, Daniela M. Amaral, Eduardo N. Castanho, Diogo F. Soares, Ruben Branco, Sara C. Madeira, Helena Aidos. Predicting the functional rating scale and self-assessment status of ALS patients with sensor data. In Intelligent Disease Progression Prediction (iDPP) at CLEF 2024, pages 1366-1379. CEUR-WS.org, 2024 [Biblios]

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SOFTWARE &

TOOLS

BISEN

BISEN is a searchable symmetric encryption scheme, allowing for secure boolean queries over remote datastores by leveraging Intel SGX for trustworthy...

Æon compiler

A code compiler and synthesizer in the homonymous language, implemented in Python. The Æon language supports refined and dependent types with...

ChemRecSys

ChemRecSys (Chemical Compounds Recommender System) is a system for recommending Chemical Compounds, integrating collaborative-filtering algorithms for implicit feedback (Alternating Least Squares...

SF4K

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

NAMS

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

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...

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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.