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Facts & Numbers
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Presentation

Human-Centered Computing and Information Science

HumanISE is an interdisciplinary centre focused on research at the forefront of human-centred computing (HCC) with broad and deep expertise in computer science (CS) and information science (IS).

At HumanISE, engineers, scientists and designers focus on research and development of software systems, methods, and tools, capable of leveraging human abilities and practices within their communities and environments, involving high technical and managerial complexity, due to large scale, high heterogeneity, high uncertainty, high integrity, strict compliance to standards and legal frameworks, or domain-specific organisational issues.

Our mission is to pursue high-quality research, innovation, consultancy, and technology transfer, impactful, in close cooperation with academic and industrial partners. We focus on five main research areas - Computer-Human 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 - and four innovation areas - Personalised Health Research, Earth, Ocean and Space Science, Geospatial Information Systems Engineering, and Information Systems and Applied Computing.

Furthermore, at HumanISE, we are also strongly committed to training young researchers and professionals, with a significant track record in the supervision of master and PhD students.

Presently, our researchers originate from the University of Porto (UP), Polytechnic of Porto (IPP), University of Trás-os-Montes e Alto Douro (UTAD), Universidade Aberta (UAb) and University of Minho (UM).

Latest News
Robotics

Portugal at the forefront with new technology for measuring radon gas and improving global climate projections

For the next four years, INESC TEC will lead an international consortium with a budget of €2.6M, aimed at using advanced techniques to measure environmental radioactivity. According to estimates, by 2028, new technological solutions will be available that can improve both climate research - particularly in estimating greenhouse gas emissions - and radiological protection for the population and the environment.

02nd October 2024

INESC TEC seeks to help companies embrace digital transformation at lower costs

Digital transition, innovation, business empowerment, financing, disruptive technologies; and a certainty: 2024 will be a year of opportunities for companies that are willing to take risks. Close to 100 participants gathered at Palácio do Freixo to get to know ATTRACT project, coordinated by INESC TEC. 

08th February 2024

INESC TEC researchers strive to improve realism and multisensory experiences in virtual environment training

The scientific work "Studying the Influence of Multisensory Stimuli on a Firefighting Training Virtual Environment" won the 13th edition of the Professor José Luís Encarnação award. It is the sixth time that a group of INESC TEC researchers won this annual award.

17th January 2024

INESC TEC technology to protect olive groves and potentially other crops

The InOlive project reached the end; the olive groves' smart monitoring solutions developed within the scope of the initiative are currently being used. INESC TEC has created a smart trap, a technology that could be optimised to other crops.  

10th October 2023

INESC TEC attended seminar dedicated to the Forest Bioeconomy

Promoting the debate and reflection on advanced technologies, emerging markets, and national and European policies that contribute to the valorisation and efficient and sustainable use of forest resources; this was the theme of the seminar organised by FORESTIS – Associação Florestal de Portugal, which brought together stakeholders from Portugal and Spain, with INESC TEC participation.

28th July 2023

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Featured Projects

INESCTEC.OCEAN

Centre of Excellence in Ocean Research and Engineering

2025-2030

Team
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Laboratories

Information Systems Laboratory

Laboratory of Software Engineering

Laboratory of Computer Graphics and Virtual Environments

Publications

HumanISE Publications

View all Publications

2024

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 4: VISAPP, Rome, Italy, February 27-29, 2024

Authors
Radeva, P; Furnari, A; Bouatouch, K; de Sousa, AA;

Publication
VISIGRAPP (4): VISAPP

Abstract

2024

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 3: VISAPP, Rome, Italy, February 27-29, 2024

Authors
Radeva, P; Furnari, A; Bouatouch, K; de Sousa, AA;

Publication
VISIGRAPP (3): VISAPP

Abstract

2024

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 2: VISAPP, Rome, Italy, February 27-29, 2024

Authors
Radeva, P; Furnari, A; Bouatouch, K; de Sousa, AA;

Publication
VISIGRAPP (2): VISAPP

Abstract

2024

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 1: GRAPP, HUCAPP and IVAPP, Rome, Italy, February 27-29, 2024

Authors
Rogers, TB; Méneveaux, D; Ziat, M; Ammi, M; Jänicke, S; Purchase, HC; Bouatouch, K; de Sousa, AA;

Publication
VISIGRAPP (1): GRAPP, HUCAPP, IVAPP

Abstract

2024

Guidelines for reproducible analysis of adaptive immune receptor repertoire sequencing data

Authors
Peres, A; Klein, V; Frankel, B; Lees, W; Polak, P; Meehan, M; Rocha, A; Lopes, JC; Yaari, G;

Publication
BRIEFINGS IN BIOINFORMATICS

Abstract
Enhancing the reproducibility and comprehension of adaptive immune receptor repertoire sequencing (AIRR-seq) data analysis is critical for scientific progress. This study presents guidelines for reproducible AIRR-seq data analysis, and a collection of ready-to-use pipelines with comprehensive documentation. To this end, ten common pipelines were implemented using ViaFoundry, a user-friendly interface for pipeline management and automation. This is accompanied by versioned containers, documentation and archiving capabilities. The automation of pre-processing analysis steps and the ability to modify pipeline parameters according to specific research needs are emphasized. AIRR-seq data analysis is highly sensitive to varying parameters and setups; using the guidelines presented here, the ability to reproduce previously published results is demonstrated. This work promotes transparency, reproducibility, and collaboration in AIRR-seq data analysis, serving as a model for handling and documenting bioinformatics pipelines in other research domains.