Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About

About

João Correia Lopes is an Assistant Professor in Informatics Engineering at the Universidade do Porto and a senior researcher at INESC TEC.
He has graduated in Electrical Engineering in the University of Porto in 1984 and holds a PhD in Computing Science by Glasgow University in 1997.
His teaching includes undergraduate and graduate courses in databases and web applications, software engineering and programming, markup languages and semantic web.
He has been involved in research projects in the area of Data Management, Service-oriented architectures, e-health and e-Science.
Currently his main research interests are e-Health, e-Science and Research data management.

Interest
Topics
Details

Details

  • Name

    João Correia Lopes
  • Cluster

    Computer Science
  • Role

    Senior Researcher
  • Since

    19th June 1985
002
Publications

2018

Digital Libraries for Open Knowledge, 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Porto, Portugal, September 10-13, 2018, Proceedings

Authors
Méndez, E; Crestani, F; Ribeiro, C; David, G; Lopes, JC;

Publication
TPDL

Abstract

2018

The Perdigão: Peering into Microscale Details of Mountain Winds

Authors
Fernando, H; Mann, J; Palma, J; Lundquist, J; Barthelmie, R; BeloPereira, M; Brown, W; Chow, F; Gerz, T; Hocut, C; Klein, P; Leo, L; Matos, J; Oncley, S; Pryor, S; Bariteau, L; Bell, T; Bodini, N; Carney, M; Courtney, M; Creegan, E; Dimitrova, R; Gomes, S; Hagen, M; Hyde, J; Kigle, S; Krishnamurthy, R; Lopes, J; Mazzaro, L; Neher, J; Menke, R; Murphy, P; Oswald, L; Otarola-Bustos, S; Pattantyus, A; Rodrigues, CV; Schady, A; Sirin, N; Spuler, S; Svensson, E; Tomaszewski, J; Turner, D; van Veen, L; Vasiljevic, N; Vassallo, D; Voss, S; Wildmann, N; Wang, Y;

Publication
Bulletin of the American Meteorological Society

Abstract

2018

Research Data Management Tools and Workflows: Experimental Work at the University of Porto

Authors
Ribeiro, C; Rocha da Silva, J; Aguiar Castro, J; Carvalho Amorim, R; Correia Lopes, J; David, G;

Publication
IASSIST Quarterly

Abstract
Research datasets include all kinds of objects, from web pages to sensor data, and originate in every domain. Concerns with data generated in large projects and well-funded research areas are centered on their exploration and analysis. For data in the long tail, the main issues are still how to get data visible, satisfactorily described, preserved, and searchable. Our work aims to promote data publication in research institutions, considering that researchers are the core stakeholders and need straightforward workflows, and that multi-disciplinary tools can be designed and adapted to specific areas with a reasonable effort. For small groups with interesting datasets but not much time or funding for data curation, we have to focus on engaging researchers in the process of preparing data for publication, while providing them with measurable outputs. In larger groups, solutions have to be customized to satisfy the requirements of more specific research contexts. We describe our experience at the University of Porto in two lines of enquiry. For the work with long-tail groups we propose general-purpose tools for data description and the interface to multi-disciplinary data repositories. For areas with larger projects and more specific requirements, namely wind infrastructure, sensor data from concrete structures and marine data, we define specialized workflows. In both cases, we present a preliminary evaluation of results and an estimate of the kind of effort required to keep the proposed infrastructures running.  The tools available to researchers can be decisive for their commitment. We focus on data preparation, namely on dataset organization and metadata creation. For groups in the long tail, we propose Dendro, an open-source research data management platform, and explore automatic metadata creation with LabTablet, an electronic laboratory notebook. For groups demanding a domain-specific approach, our analysis has resulted in the development of models and applications to organize the data and support some of their use cases. Overall, we have adopted ontologies for metadata modeling, keeping in sight metadata dissemination as Linked Open Data.

2017

Enriching Mental Health Mobile Assessment and Intervention with Situation Awareness

Authors
Teles, AS; Rocha, A; da Silva e Silva, FJDE; Lopes, JC; O'Sullivan, D; Van de Ven, P; Endler, M;

Publication
SENSORS

Abstract
Current mobile devices allow the execution of sophisticated applications with the capacity for identifying the user situation, which can be helpful in treatments of mental disorders. In this paper, we present SituMan, a solution that provides situation awareness to MoodBuster, an ecological momentary assessment and intervention mobile application used to request self-assessments from patients in depression treatments. SituMan has a fuzzy inference engine to identify patient situations using context data gathered from the sensors embedded in mobile devices. Situations are specified jointly by the patient and mental health professional, and they can represent the patient's daily routine (e.g., "studying", "at work", "working out"). MoodBuster requests mental status self-assessments from patients at adequate moments using situation awareness. In addition, SituMan saves and displays patient situations in a summary, delivering them for consultation by mental health professionals. A first experimental evaluation was performed to assess the user satisfaction with the approaches to define and identify situations. This experiment showed that SituMan was well evaluated in both criteria. A second experiment was performed to assess the accuracy of the fuzzy engine to infer situations. Results from the second experiment showed that the fuzzy inference engine has a good accuracy to identify situations.

2016

Towards Situation-aware Mobile Applications in Mental Health

Authors
Teles, AS; Silva, FJ; Rocha, A; Lopes, JC; O'Sullivan, D; Van de Ven, P; Endler, M;

Publication
2016 IEEE 29TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)

Abstract
This work describes SituMan (Situation Manager), a mobile system that makes use of the sensors commonly included in most mobile platforms and a fuzzy inference engine to attempt to infer user context and environment. Such "situation" information, has been used to enhance the behaviour of MoodBuster, another mobile application used in the scope of the mental health domain to collect Ecological Momentary Assessments (EMA). EMA has been used in psychotherapy to minimize the effects of recall bias in the assessment of patient mood, as well as in the recollection of other experiences and behaviours. SituMan can enhance the user experience in the scope of EMA by prompting users in the desired situation, instead of at random or fixed-times, thus reducing obtrusiveness. It can also provide new insight to mental health professionals by summarizing the situations experienced by the patient, further allowing correlation of situation information with patient mood within the same time frame.

Supervised
thesis

2017

Indicadores de Desempenho de Bases de Dados

Author
Eugenio Andre Leal Ferreira dos Santos

Institution
UP-FEUP

2017

YWeb – Plataforma de Criação de Templates para Marketing Online

Author
José Carlos Calhau Pinto

Institution
UP-FEUP

2017

Sistema de apoio à decisão suportado por armazém de dados na logística da cadeia de abastecimento

Author
Pedro Emanuel Caldas Ferreira

Institution
UP-FEUP

2017

Implementation of a data virtualization layer applied to insurance data

Author
Catarina Raquel da Silva Teixeira

Institution
UP-FEUP

2016

Usage-driven Application Profile Generation Using Ontologies

Author
João Miguel Rocha da Silva

Institution
UP-FEUP