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

Sofia Teixeira at CCS’22 Steering Committee

30/09/2022

Sofia Teixeira, LASIGE’s integrated researcher, is a member of the Steering Committee of the Conference on Complex Systems (CCS2022), which will take place in Palma de Mallorca, Spain, October, 17-21, 2022. The CCS is the largest and most important annual meeting of the international complex systems community. It also comes under the auspices of the […]

International Day for Universal Access to Information

28/09/2022

“UNESCO works to protect and promote access to information as a fundamental human right and an essential step towards the attainment of the Sustainable Development Goals. As part of these efforts, the United Nations General Assembly proclaimed 28 September as the International Day for Universal Access to Information – recognizing its role in development, democracy, […]

Nuria Oliver at the ACM ByteCast

22/09/2022

Nuria Oliver, LASIGE’s Advisory Board Member, was interviewed by Rashmi Mohan in September 2022 at the ACM ByteCast, a podcast series from ACM’s Practitioner Board to researchers, practitioners, and innovators who are at the intersection of computing research and practice. Presently she is Chief Scientific Adviser in Data Science at the Vodafone Institute, Chief Data […]

RECENT

TALKS

Talks @ LASIGE: Bruno Loff

07/10/2022

CPS and RDNS meetup: Jan Kończak

25/07/2022

CPS and RDNS meetup: Jiangshan Yu

18/07/2022

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ONGOING

PROJECTS

Wai-CooP

Web Accessibility Initiative – Communities of Practice

THOR

Computer Assisted Thoracic Assessment using POCUS

AWESOME

Awareness While Experiencing and Surfing On Movies through Emotions

AQUAMON

Dependable Monitoring with Wireless Sensor Networks in Water Environments

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Projects

PUBLICATIONS

Members

RECENT

PUBLICATIONS

Diogo Lima, Hugo Miranda. A geographical-aware state deployment service for Fog Computing. Computer Networks, 216, Elsevier BV, 2022 [Biblios]

Diogo F. Soares, Rui Henriques, Marta Gromicho, Mamede de Carvalho, Sara C. Madeira. Learning prognostic models using a mixture of biclustering and triclustering: Predicting the need for non-invasive ventilation in Amyotrophic Lateral Sclerosis. Journal of Biomedical Informatics, 134, Elsevier BV, 2022 [Biblios]

Francesco Massa, Preeti Yadav, Amir Moqanaki, Walter O. Krawec, Paulo Mateus, Nikola Paunković, André Souto, Philip Walther. Experimental Semi-quantum Key Distribution With Classical Users. Quantum, 6, Verein zur Forderung des Open Access Publizierens in den Quantenwissenschaften, 2022 [Biblios]

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SOFTWARE &

TOOLS

ProPi

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

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...

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,...

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...

FreeST

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

Æon compiler

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

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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.