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

SATO – Seixal Municipality Building Pilot

04/11/2024

The Seixal Municipality Building Pilot of the SATO project provided unique opportunities to display the capabilities of its control services for natural ventilation and mechanical cooling. In this pilot, SATO had an impact in terms of energy savings and changes in the upcoming capabilities for the future of the building. Watch the video to find […]

VA|PREVENTION launches diabetes prevention guide

31/10/2024

The Type 2 Diabetes Prevention Guide, developed as part of the VA|PREVENTION project, will be launched next month on November 12 at the Egas Moniz School of Health and Science. VA|PREVENTION is a scientific research and technological development initiative aimed at evaluating the cost-effectiveness and implementation of a new person-centered digital intervention designed to prevent […]

SATO – Worten Retail Pilots

30/10/2024

The Worten retail pilots of the SATO project explored natural ventilation and solar heat gain control to reduce thermal demands on the HVAC system. Window shades and sensors were installed, and all systems are monitored and controlled through the SATO platform. SATO is an EU funded project, coordinated by Pedro Ferreira, LASIGE’s integrated member. Watch […]

RECENT

TALKS

Talks@DI | Li Weigang

14/11/2024

Reading Club in HBI and DSI #16

14/11/2024

LxViL – Vision and Learning Group Meeting #1

12/11/2024

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ONGOING

PROJECTS

IDEA-FAST

Identify Digital Endpoints to Assess FAtigue, Sleep and acTivities of daily living

CIRCLES

Controlling mIcRobiomes CircuLations for bEtter food Systems

CSESI Hub

CoLAB Smart Energy Services Innovation Hub

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

Samaneh Shafee, Alysson Bessani, Pedro M. Ferreira. Evaluation of LLM-based chatbots for OSINT-based Cyber Threat Awareness. Expert Systems with Applications, 261, Elsevier BV, 2025 [Biblios]

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]

Martim Francisco, Bernardo Ferreira, Fernando M. V. Ramos, Eduard Marin, Salvatore Signorello. P4Chaskey: An Efficient MAC Algorithm for PISA Switches. In 7th European P4 Workshop (EuroP4’24), 2024 [Biblios]

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SOFTWARE &

TOOLS

Gerador declarações de acessibilidade

A tool for generating accessibility declarations according to the Portuguese model. Team @ LASIGE: Carlos Duarte

JDNA

JDNA is a referential compressor for aligned DNA files.

VETA

VETA is a tool that analyses the performance of several variant prediction methods at different levels. Team @ LASIGE: Alcides Fonseca; Pedro...

ProPi

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

MIL

MIL (Multithreaded Intermediate Language) is an assembly language targeted at an abstract multi-processor equipped with a shared main memory. Each processor...

Scrapbook

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

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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.