Hugo Sereno Ferreira

I am a Ph.D. in Computer Science in the MAP-i Doctoral Programme at the Universities of Minho, Aveiro and Porto. I hold a degree in Informatics and Computation Engineering from the Faculty of Engineering of the University of Porto. Member of the Software Engineering Group, FEUP. I teach as an Assistant Professor at FEUP/DEI. I'm also a member of the Hillside Group.

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

Publications

WASMICO: Micro-containers in microcontrollers with WebAssembly

Ribeiro, E;Restivo, A;Ferreira, HS;Dias, JP;

2024

JOURNAL OF SYSTEMS AND SOFTWARE

SIMoT: A Low-fidelity Orchestrator Simulator for Task Allocation in IoT Devices

Fragoso, T;Silva, D;Dias, JP;Restivo, A;Ferreira, HS;

2023

2023 53RD ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS WORKSHOPS, DSN-W

A Collaborative Expandable Framework for Software End-Users and Programmers

Almeida, T;Ferreira, HS;Sousa, TB;

2012

COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING (CDVE)

PETTool: A pattern-based GUI testing tool

Cunha, M;Paiva, ACR;Ferreira, HS;Abreu, R;

2010

ICSTE 2010 - 2010 2nd International Conference on Software Technology and Engineering, Proceedings

View all publications

Supervised theses

Multidimensional Time Series Analysis: A Complex Networks Approach

Vanessa Alexandra Freitas da Silva

D - 2023

UP-FCUP

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.