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

2nd WideHealth Newsletter is available

02/08/2022

The EU-funded WideHealth project conducts research on pervasive eHealth and is set to establish a sustainable network of research and dissemination across Europe. The overarching goal of the project is to enable a new generation of researchers in the less developed (Widening) countries in the consortium to develop and adapt novel eHealth technologies exploitable in the […]

8 LASIGE students awarded with FCT PhD Research Studentships

29/07/2022

Eight LASIGE students have been awarded by FCT with Ph.D. Research Studentships of the 2022 call, in which the acceptance rate was 46% of the total eligible applications for funding. The FCT Ph.D. Research Studentships aims to support researchers, in all areas of knowledge, who wish to develop research activities leading to a Ph.D. degree. […]

LASIGE research’s published in Information Sciences

28/07/2022

LASIGE’s PhD student, Nuno Rodrigues authored the paper “Fitness landscape analysis of convolutional neural network architectures for image classification” published in the high-ranked journal Information Sciences (Scimago Q1, IF 8.233). The paper is co-authored by Katherine M. Malan (University of South Africa, South Africa), Gabriela Ochoa (University of Stirling, Scotland), Leonardo Vanneschi (NOVA Information Management […]

RECENT

TALKS

CPS and RDNS meetup: Jan Kończak

25/07/2022

CPS and RDNS meetup: Jiangshan Yu

18/07/2022

RSS meetup: Emanuele D’Osualdo

18/07/2022

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ONGOING

PROJECTS

MarCODE

ThreatAdapt

Adaptive Byzantine Fault and Intrusion Tolerance

INTERPHENO

Fostering High Throughput Plant Phenotyping by an Interdisciplinary Approach

VEDLIoT

Very Efficient Deep Learning IoT platform

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Cláudio Martins, Ibéria Medeiros. Generating Quality Threat Intelligence Leveraging OSINT and a Cyber Threat Unified Taxonomy. ACM Transactions on Privacy and Security, 25(3):1-39, Association for Computing Machinery (ACM), 2022 [Biblios]

Marta D.M. Noronha, Rui Henriques, Sara C. Madeira, Luis E. Zárate. Impact of metrics on biclustering solution and quality: A review. Pattern Recognition, 127, Elsevier BV, 2022 [Biblios]

Pedro Antunes, Nguyen Hoang Thuan, David Johnstone. Nature and purpose of visual artifacts in design science research. Information Systems and e-Business Management, Springer Science and Business Media LLC, 2022 [Biblios]

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SOFTWARE &

TOOLS

SePi

SePi is a concurrent, message-passing programming language based on the pi-calculus. The language features synchronous, bi-directional channel-based communication. Programs use primitives...

Play JBT – Mobile Application for the Tropical Botanical Garden of Lisbon

Mobile application (Android and iOS), which acts mainly as a helping guide for visitors of the Lisbon Tropical Botanical Garden. This...

ChemRecSys

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

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...

RT-PSS

Real-Time Proactive Secret Sharing Library for RTAI is an implementation of the Shamir’s secret sharing scheme and Herzberg’s proactive secret sharing...

VisuaLeague III – Visual Analytics of Multiple Games

Prototype for analyzing League of Legend games of professional teams using visualization and clustering techniques. This version offers the most wanted...

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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.