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 at NEI 2025

30/09/2025

Students Laura Balbi and Mariana Gouveia, from LASIGE’s HBI research line, represented the Research Unit at the European Researchers’ Night (NEI 2025) event on September 26, 2025, at the Pavilion of Knowledge in Lisbon. Balbi and Gouveia discussed their contributions to a project on the topic of Explainable AI for personalized medicine and the event […]

Carlos Duarte @ Europe goes Once-Only Portugal edition

26/09/2025

Carlos Duarte, LASIGE integrated member, participated at the onsite event “Europe goes Once-Only – Portugal edition“, September, 25-26, 2025, Lisbon. This event is organized under the motto “Facing challenges together”, bringing together competent authorities connecting to Once-Only with the national and Commission teams implementing this system and the six interactive workshop tracks allow participants to […]

Luís Correia keynote @ Cloud Summit 2025

22/09/2025

LASIGE integrated researcher Luís Correia delivered a keynote at the Cloud Summit 2025, an event showcasing how Artificial Intelligence and emerging technologies are transforming industries, creating new opportunities, and enhancing both business and people. The keynote, titled “Light and Shadows of AI”, explored the growing attention AI is receiving in society and industry, particularly due […]

RECENT

TALKS

LASIGE Welcome Day – Save the date

15/10/2025

Theory of Computing Seminars: Artur Riazanov

07/10/2025

LASIGE TALKS: Joel Samper and Andreia Mordido

01/10/2025

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ONGOING

PROJECTS

INTELLIGi

Quality Threat Intelligence to Enhance Cyber Defence

HOFGA

The Hardness of Finding Good Algorithms

APOSTLE

new Approaches for Secure Distributed Data Processing and Access

CSESI Hub

CoLAB Smart Energy Services Innovation Hub

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Nuno M. Rodrigues, Vanessa F. Fonseca, Renato Mamede, Susanne E. Tanner, Bernardo Duarte, Sara Silva. Integrating elemental and total reflection X-ray spectral fingerprints with machine learning for advanced seafood traceability. Food Control, Elsevier BV, 2026 [Biblios]

Nuno Fachada, João P. Matos-Carvalho, Carlos M. Fernandes. A catch-all discrete distribution: Short description and main properties. Examples and Counterexamples, 8, Elsevier BV, 2025 [Biblios]

Hélder Bastos, Luís Correia. From Homeostatic Principles to Discrete Emotions in an Agent Architecture – The HOmeostatic Regulation Architecture (HORA). In Lecture Notes in Computer Science,Progress in Artificial Intelligence, pages 400-412. Springer Nature Switzerland, 2025 [Biblios]

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SOFTWARE &

TOOLS

Genodedup

GenoDedup is an algorithm that integrates efficient similarity-based deduplication and specialized delta-encoding for genome sequencing data. It increases data reduction gains...

DOL

DOL is a Dependent Object-oriented Language featuring dependent types, mutable objects and class-based inheritance with subtyping. The DOL compiler is responsible...

BFT ordering service for Hyperledger Fabric

This is a Byzantine fault-tolerant (BFT) ordering service for Hyperledger Fabric. This BFT ordering service is a wrapper around BFT-SMaRt, a...

QualWeb engine

An automated web accessibility evaluation engine with support for WCAG 2.1 and ACT-Rules. Team @ LASIGE: João Vicente; António Estriga; Bruno...

B3PP

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

JDNA

JDNA is a referential compressor for aligned DNA files.

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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.