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

LASIGE evaluated as Excellent by FCT

16/04/2025

LASIGE has received the highest rating of “Excellent” in the latest national evaluation conducted by the FCT (Portuguese Foundation for Science and Technology). This rating reflects the outstanding quality and impact of the unit’s work during the evaluation period from 2018 to 2023. The evaluation, carried out by an international panel, was based on three […]

LASIGE publishes in the Knowledge-Based Systems journal

13/03/2025

The paper “Enhancing cross-encoders using knowledge graph hierarchy for medical entity linking in zero- and few-shot scenarios”, co-authored by LASIGE members Pedro Ruas and Francisco M. Couto, along with Fernando Gallego and Francisco J. Veredas, has been published in Knowledge-Based Systems, a prestigious journal in artificial intelligence and data science. The paper introduces an innovative […]

APOSTLE’s exploratory project begins

12/03/2025

The APOSTLE exploratory project has begun, coordinated by Bernardo Ferreira, LASIGE integrated member, and aimed at developing new protocols for secure data processing and large-scale access. This project was awarded in the FCT 2023 Call for Exploratory Projects in all scientific fields, for 18 months from January 2025 to July 2026. More information about the […]

RECENT

TALKS

10th LASIGE WORKSHOP (2025)

21/05/2025

Poster Design Workshop

15/04/2025

Reading Club in HBI and DSI #24

10/04/2025

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ONGOING

PROJECTS

VAPrevention

Randomised controlled trial and economic evaluation of a person-centred digital intervention to prevent diabetes in high-risk adults

CSESI Hub

CoLAB Smart Energy Services Innovation Hub

BRAINTEASER

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

HARIA

Human-Robot Sensorimotor Augmentation

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Joel Samper, Bernardo Ferreira. SoK: Self-Generated Nudes over Private Chats: How Can Technology Contribute to a Safer Sexting?. In 46th IEEE Symposium on Security and Privacy, 2025 [Biblios]

Daniel Ramos, Claudia Mamede, Kush Jain, Paulo Canelas, Catarina Gamboa, Claire Le Goues. Are Large Language Models Memorizing Bug Benchmarks?. In The Second International Workshop on Large Language Models for Code, 2025 [Biblios]

Joel Samper, Bernardo Ferreira. Leveraging remote attestation APIs for secure image sharing in messaging apps. In 20th European Dependable Computing Conference, 2025 [Biblios]

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SOFTWARE &

TOOLS

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...

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,...

BiOnt

BiOnt is a system to perform relation extraction using a deep learning system. BiOnt, employs four types of biomedical ontologies, namely,...

DNA Privacy Detector

The DNA privacy detector is a method that systematically detects privacy-sensitive DNA segments coming directly from an input stream, using as...

FreeST

A concurrent programming language, based on a core functional language with primitives to fork new threads, create channels and exchange messages...

OTD (OSINT Threat Detector pilot)

In the scope of the DiSIEM H2020 project, a pilot was built as a service to select cybersecurity threat intelligence from...

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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.