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Advanced Computing Systems

At CRACS, our mission is to pursue scientific excellence in the areas of programming languages, parallel and distributed computing, security and privacy, information mining, and Web based systems with a focus on developing scalable software systems for challenging, multidisciplinary applications.

Our research environment is enriched with junior talented researchers that together with senior researchers build the necessary critical mass and scientific competences to fulfill the institution’s mission.

Latest News
Computer Science

INESC TEC researchers acknowledged for research work aimed at protecting the privacy of mobile phones

A group of INESC TEC researchers was acknowledged due to their research work on the management of permissions on mobile devices. The team developed a set of techniques to automate the response to requests for permissions by smartphone applications, with a reliability of 90%. This work received the award for best scientific paper at the ACM CODASPY conference, which took place in the United States of America.

08th July 2022

Networked Intelligent Systems

INESC TEC part of project that will make autonomous vehicles safer

INESC TEC will contribute to the development of perception algorithms, computing and architectures based on artificial intelligence, within the scope of the project THEIA - Automated Perception Driving, a partnership between the University of Porto and Bosch - which aims to make autonomous vehicles safer through a better perception of the outside environment.

07th June 2022

Computer Science

INESC TEC developed a tool to identify biological species

INESC TEC researchers developed Biolens, a web application that allows the classification of biological species through the submission of photographs. Currently, the platform is able to recognise a significant subset of the Portuguese species of dragonflies, butterflies and moths.

03rd June 2022

Computer Science

INESC TEC researcher publishes book dedicated to gamification

Ricardo Queirós, researcher at INESC TEC, and professor at the School of Media Arts and Design of the Polytechnic of Porto (ESMAD-P.Porto), is one of the authors of the book Gamificação Aplicada às Organizações e ao Ensino, along with Mário Pinto, also a professor at ESMAD-P.Porto and a researcher at uniMAD.

24th March 2022

Computer Science

INESC TEC participates in two projects to support teaching of computer science

INESC TEC's Centre for Advanced Computing Systems (CRACS) participates in two projects funded by the EU programme Erasmus+, whose objective is to develop new tools that support the teaching of computer science, thus contributing to improve programming knowledge.

24th May 2021

041

Featured Projects

PRIVATEER

PRIVATEER - Privacy-first Security Enablers for 6G Networks

2023-2025

THEIA

Automated Perception Driving

2022-2023

AI4DM

AI predictive modeling Services

2021-2022

FGPEPlus

Learning tools interoperability for gamified programming education

2021-2023

JuezLTI

Automatic assessment of computing exercises using LTI standard

2021-2023

PANDORA

Cyber Defence Platform for Real-time Threat Hunting, Incident Response and Information Sharing

2020-2022

Cortaderia

Desenvolvimento de Software para Monitorização da Espécie Invasora Cortaderia selloana

2020-2020

Authenticus19_20

Consultoria Tecnológica em Sistemas CRIS e Cálculo de APC

2019-2020

T4CDTKC

Training 4 Cotec, Digital Transformation Knowledge Challenge - Elaboração de Programa de Formação “CONHECER E COMPREENDER O DESAFIO DAS TECNOLOGIAS DE TRANSFORMAÇÃO DIGITAL”

2019-2021

Angerona

Privacy preserving IOT middleware

2018-2019

FGPE

Framework for Gamified Programming Education

2018-2021

AuthenticusNF

Desenvolvimento de Indicadores de Produção Científica Baseados no Authenticus

2018-2018

PGODISSEIA

Serviço de instalação e configuração de uma plataforma de autenticação, implementação de solução de gestão centralizada de certificados digitais, auditoria de segurança (pen-testing) e análise de impacto de privacidade dos tratamentos de dados pessoais das plataformas de integração e autenticação

2018-2020

CRADLE

Deep learning in cancer drug discovery: a pipeline for the generation of new therapies

2018-2021

Authenticus2019

Apoio Técnico ao CINTESIS para extração de indicadores de produção científica baseados no Authenticus

2018-2018

ELVEN

Elven - Expressive Logics for VErifying the Net

2016-2019

Digi-NewB

Non-invasive monitoring of perinatal health through multiparametric digital representation of clinically relevant functions for improving clinical intervention in neonatal units (Digi-NewB)

2016-2020

FOUREYES

TEC4Growth - RL FourEyes - Intelligence, Interaction, Immersion and Innovation for media industries

2015-2019

NanoStima-RL5

NanoSTIMA - Advanced Methodologies for Computer-Aided Detection and Diagnosis

2015-2019

NanoStima-RL3

NanoSTIMA - Health data infrastructure

2015-2019

NanoStima-RL4

NanoSTIMA - Health Data Analysis & Decision

2015-2019

SMILES

SMILES - Smart, Mobile, Intelligent and Large scale Sensing and analytics

2015-2019

FOTOCATGRAF

Graphene-based semiconductor photocatalysis for a safe and sustainable water supply: an advanced technology for emerging pollutants removal

2015-2018

REMINDS

Relevance Mining and Detection System (REMINDS)

2015-2017

PANF

Methods to retrieve and communicate data from Sifarma

2015-2016

SEA

SEA-Sistema de ensino autoadaptativo

2015-2015

MGI

Contrato de Aquisição de serviços de produção e desenvolvimento de módulo para gestão de iterações para integrar no sistema de informação da UP (SIGARRA)

2015-2015

Hyrax

Crowd-Sourcing Mobile Devices to Develop Edge Clouds

2014-2018

DAT

Curation and intelligent data analysis

2014-2015

ABLe

Advice-Based Learning for Health Care

2013-2015

Authenticus

Authenticus - System to Identify and Validate Portuguese Scientific Publications

2013-2016

SIBILA

Towards Smart Interacting Blocks that Improve Learned Advice

2013-2015

ADE

Adverse Drug Effects Detection

2012-2015

e-Policy

Engineering for the Policy-making Life Cycle (ePolicy)

2011-2014

Leap

Logic environments with Advanced Paralelism

2011-2014

MACAW

Macroprogramming for Wireless Sensor Networks

2011-2014

Breadcrumbs

Social network based on personal libraries of news fragments

2010-2012

Ofelia

Open Federated Environments Leveraging Identity and Authorization

2010-2013

Horus

Horn Representations of Uncertain Systems

2010-2013

DIGISCOPE

DIGItally enhanced stethosCOPE for clinical usage

2010-2013

Palco3.0

Intelligent Web system to support the management of a social network on music

2008-2011

Team
Publications

CRACS Publications

View all Publications

2022

Structural Rules and Algebraic Properties of Intersection Types

Authors
Alves, S; Florido, M;

Publication
Theoretical Aspects of Computing - ICTAC 2022 - 19th International Colloquium, Tbilisi, Georgia, September 27-29, 2022, Proceedings

Abstract
In this paper we define several notions of term expansion, used to define terms with less sharing, but with the same computational properties of terms typable in an intersection type system. Expansion relates terms typed by associative, commutative and idempotent intersections with terms typed in the Curry type system and the relevant type system; terms typed by non-idempotent intersections with terms typed in the affine and linear type systems; and terms typed by non-idempotent and non-commutative intersections with terms typed in an ordered type system. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2022

Typed SLD-Resolution: Dynamic Typing for Logic Programming

Authors
Barbosa, J; Florido, M; Costa, VS;

Publication
LOGIC-BASED PROGRAM SYNTHESIS AND TRANSFORMATION (LOPSTR 2022)

Abstract
The semantic foundations for logic programming are usually separated into two different approaches. The operational semantics, which uses SLD-resolution, the proof method that computes answers in logic programming, and the declarative semantics, which sees logic programs as formulas and its semantics as models. Here, we define a new operational semantics called TSLD-resolution, which stands for Typed SLD-resolution, where we include a value wrong, that corresponds to the detection of a type error at run-time. For this we define a new typed unification algorithm. Finally we prove the correctness of TSLD-resolution with respect to a typed declarative semantics.

2022

Compression of Different Time Series Representations in Asphyxia Detection

Authors
Silva, B; Ribeiro, M; Henriques, TS;

Publication
2022 E-Health and Bioengineering Conference (EHB)

Abstract

2022

Survey on Synthetic Data Generation, Evaluation Methods and GANs

Authors
Figueira, A; Vaz, B;

Publication
MATHEMATICS

Abstract
Synthetic data consists of artificially generated data. When data are scarce, or of poor quality, synthetic data can be used, for example, to improve the performance of machine learning models. Generative adversarial networks (GANs) are a state-of-the-art deep generative models that can generate novel synthetic samples that follow the underlying data distribution of the original dataset. Reviews on synthetic data generation and on GANs have already been written. However, none in the relevant literature, to the best of our knowledge, has explicitly combined these two topics. This survey aims to fill this gap and provide useful material to new researchers in this field. That is, we aim to provide a survey that combines synthetic data generation and GANs, and that can act as a good and strong starting point for new researchers in the field, so that they have a general overview of the key contributions and useful references. We have conducted a review of the state-of-the-art by querying four major databases: Web of Sciences (WoS), Scopus, IEEE Xplore, and ACM Digital Library. This allowed us to gain insights into the most relevant authors, the most relevant scientific journals in the area, the most cited papers, the most significant research areas, the most important institutions, and the most relevant GAN architectures. GANs were thoroughly reviewed, as well as their most common training problems, their most important breakthroughs, and a focus on GAN architectures for tabular data. Further, the main algorithms for generating synthetic data, their applications and our thoughts on these methods are also expressed. Finally, we reviewed the main techniques for evaluating the quality of synthetic data (especially tabular data) and provided a schematic overview of the information presented in this paper.

2022

A Matching Algorithm to Assess Web Interfaces

Authors
Leal, JP; Primo, M;

Publication
Communications in Computer and Information Science

Abstract

Supervised Theses

2021

Distributed and Dependable SDS Control Plane for HPC

Author
Mariana Martins de Sá Miranda

Institution
UM

2021

Data Market for Energy Industry Forecasting

Author
Filipe Daniel Vieira da Silva

Institution
UM

2021

A importância da Responsabilidade Social Empresarial para os consumidores: a influência da cultura nacional e da cultura geracional

Author
Vera Rodrigues Mónica

Institution
UP-FEP

2021

Posicionamento Masstige como estratégia para a internacionalização de vinho português.

Author
Ricardo de Lacerda Argomaniz

Institution
UP-FEP

2021

HOW DOES SERENDIPITY INFLUENCE THE INTERNATIONALIZATION PROCESS? CAUSES AND RECOGNITION

Author
Raquel Barbosa Moreira

Institution
UP-FEP

Facts & Figures

7Proceedings in indexed conferences

2020

59Researchers

2016

1Book Chapters

2020