Filipe Figueiredo Correia

Currently professor at FEUP and researcher at INESC TEC, formerly software architect, coach, and developer. His research interests focus in software engineering topics, namely on Software Architecture, Design Patterns, Cloud Computing, Continuous Delivery, Agility and Live Software Development. He is especially interested in microservice-based architectures and the highly maintainable and flexible systems that they allow to create.

Domains

Human-Centered Computing and Information Science Computer Science and Engineering

Projects

iReceptor+

iReceptor Plus promotes human immunological data storage, integration and controlled sharing for a wide range of clinical and scientific purposes. The project started in 2019, co-funded by the EU and Canadian government and focused on the development of an innovative platform to integrate distributed repositories of Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) data, to enable improved personalized medicine and immunotherapy in cancer, inflammatory and autoimmune diseases, allergies and infectious diseases. Many modern therapies involve the adaptive immune system, which has developed a wide range of immune receptors to recognise and remove pathogens and cancer cells. The sequence-data sets characterising this adaptive immune receptor repertoire (AIRR-seq) could revolutionise vaccine research and the development of therapies against autoimmune diseases and cancer. iReceptor Plus aims to advance the understanding of immune responses, and thus provide new targets for therapies and new methods for monitoring therapeutic efficacy. It offers a new class of biomarkers to support novel treatments, the ability to share and compare AIRR-seq data and promote the discovery of biomedical interventions that manipulate the adaptive immune system such as vaccines and other immunotherapies.

Architecture and tools for the query of antibody and T-Cell receptor sequencing data repositories for enabling improved personalized medicine an immunotherapy

NOUS

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Publications

Live software documentation of design pattern instances

Lemos, F;Correia, FF;Aguiar, A;Queiroz, PGG;

2024

PEERJ COMPUTER SCIENCE

Deployment Tracking and Exception Tracking: monitoring design patterns for cloud-native applications

Albuquerque, C;Correia, FF;

2023

Proceedings of the 28th European Conference on Pattern Languages of Programs, EuroPLoP 2023, Irsee, Germany, July 5-9, 2023

Tools for Refactoring to Microservices: A Preliminary Usability Report

Fritzsch, J;Correia, FF;Bogner, J;Wagner, S;

2023

CoRR

CharM - Evaluating a model for characterizing service-based architectures

Rosa, TD;Guerra, EM;Correia, FF;Goldman, A;

2023

JOURNAL OF SYSTEMS AND SOFTWARE

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Centres

Human-Centered Computing and Information Science

The Centre for Human-Centered Computing and Information Science (HumanISE) brings together engineers, scientists, and designers with expertise in Human-Centred Computing (HCC), Computer Science (CS), and Information Science (IS). Interdisciplinarity, one of the Centre’s defining features, fosters the development of software systems, methods, and tools designed to empower individuals and their communities. The excellence and impact of HumanISE’s research, innovation, and consultancy activities allow addressing increasingly complex, volatile, heterogeneous, ambiguous, and uncertain challenges, while ensuring compliance with legal, ethical, and organisational standards and frameworks. Value transfer is achieved through close collaboration with academia and industry partners. HumanISE’s core research areas include Human-Computer Interaction; Computer Graphics and Interactive Digital Media; Information Management and Information Systems; Software Engineering; and Large-Scale and Special-Purpose Computing Systems, Languages, and Tools; as well as Computing for Embedded and Cyber-Physical Systems. HumanISE also explores innovation domains like Earth, Ocean and Space Sciences; Personalised Health Research; Geospatial Information Systems Engineering; and Applied Information Systems and Computing.