ABOUT ME
Alberto Mur López received his degree in Telecommunications Technology and Services Engineering from the School of Engineering and Architecture (EINA) of the University of Zaragoza (UZ) in 2019 and obtained a Master’s Degree in Big Data Engineering from the University of Barcelona’s Institute of Lifelong Learning in 2020.
His professional career started in 2009 working as a web developer for several software companies. Lately, in 2013 he began his bachelor studies in the field of Telecommunications. In 2019 his Bachelor’s Thesis work about analysis and comparison of different interpolation methods and efficient hardware design and implementation on SoC FPGA was graded with honors and contributed to a publication in the IECON 2019 – 45th Annual Conference of the IEEE Industrial Electronics Society.
That same year he joined the HOWLab team, he started a Master’s Degree in Big Data Engineering where he could improve and master his abilities in infrastructure design, distributed systems, and data governance. This knowledge, along with the work carried out at the laboratory deploying wireless sensor networks and wide experience in software development, led him to deploy and maintain the laboratory IoT infrastructure.
One of his main interests is massive IoT deployments maintaining the low operational cost of the infrastructure. Other topics of main interest he is working on are data lifecycle including transport, processing, storage, and access; distributed systems maintenance, monitorization, and development; and all the growing IoT ecosystem.
PUBLICATIONS
2019
Villa, Jorge; Mur, Alberto; Artigas, Jose I; Barragan, Luis A; Urriza, Isidro; Navarro, Denis
Output voltage estimation of a half-bridge inverter for domestic induction heating applications Proceedings Article
En: IECON 2019 – 45th Annual Conference of the IEEE Industrial Electronics Society, pp. 5081-5086, 2019, ISSN: 2577-1647.
@inproceedings{8926617,
title = {Output voltage estimation of a half-bridge inverter for domestic induction heating applications},
author = {Jorge Villa and Alberto Mur and Jose I Artigas and Luis A Barragan and Isidro Urriza and Denis Navarro},
doi = {10.1109/IECON.2019.8926617},
issn = {2577-1647},
year = {2019},
date = {2019-10-01},
booktitle = {IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society},
volume = {1},
pages = {5081-5086},
abstract = {The power supplied to a vessel by a domestic induction-heating appliance is strongly dependent on several parameters the designer of the system has no control over: the type and the size of the vessel, misalignments between the pot and the inductor, temperatures, etc. A reliable estimation of the power is essential to ensure that the home appliance works under the expected conditions and the user experience is suitable. Furthermore, any reduction of hardware is totally welcome by consumer-electronics manufacturers. In this work, two methods to estimate the output voltage of a half-bridge inverter without digitizing it with an analog-to-digital converter are proposed and the effects that this estimation has on the power calculation are evaluated. Both methods are implemented and experimentally verified in a real prototype with an FPGA (Field-Programmable Gate Array).},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}