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About

I obtained an MSc degree in Informatics Engineering from Faculty of Engineering of University of Porto, in 2008. During the last few years, I have been working both for industry and research, in several different areas such as Ambient Assisted Living, Power Systems reliability and Digital Video. 

My main publications have been in Ambient Assisted Living area and can be consulted in google scholar.

Currently, I am a PhD student at HASLab/INESC TEC and I am enrolled in MAP-i doctoral programme. My main research interests are in software science and quantum computer science.

Interest
Topics
Details

Details

  • Name

    Carlos Eduardo Tavares
  • Since

    19th February 2007
  • Nationality

    Portugal
  • Contacts

    +351253604440
    carlos.e.tavares@inesctec.pt
Publications

2019

A Dynamic Logic for QASM Programs

Authors
Tavares, C;

Publication
Dynamic Logic. New Trends and Applications - Second International Workshop, DaLí 2019, Porto, Portugal, October 7-11, 2019, Proceedings

Abstract
We define a dynamic logic for QASM (Quantum Assembly) programming language, a language that requires the handling of quantum and probabilistic information. We provide a syntax and a model to this logic, providing a probabilistic semantics to the classical part. We exercise it with the quantum coin toss program. © 2020, Springer Nature Switzerland AG.

2009

Integration of a suite of sensors in a wireless health sensor platform

Authors
Pepijn Van de Ven; Alan Bourke; Carlos Eduardo Tavares; Robert Feld; Artur Rocha; John Nelson

Publication
IEEE SENSORS 2009 - IEEE Sensors Conference 2009, Christchurch, New Zealand

Abstract
In this paper we discuss the development and clinical evaluation of a wireless platform for health signs sensing. The sensors measure physical activity, ECG, blood oxygen saturation, temperature and respiratory rate. An important aspect of the approach is that the sensors are integrated into one waist-worn device. A mobile phone collects data from this device and uses data fusion in the scope of a decision support system to trigger additional measurements, classify health conditions or schedule future observations. In these decisions, the user's current physical activity plays an important role as the validity of many health signs measurements is strongly related to physical activity. Due to the integration of the sensors and the use of data fusion it is possible to accurately identify health risks and to react promptly. During clinical trials, for which proper ethical approval was obtained, the system was used by healthy elderly volunteers in Limerick (Ireland) and Ancona (Italy). Results of these trials are also discussed in this paper.

Supervised
thesis

2018

Validação de simulações quânticas

Author
Afonso Miguel Fernandes Rodrigues

Institution
UM