The fourteenth conference of the Portuguese Committee of URSI (União Rádio Científica Internacional), sponsored by ANACOM, was held virtually on December 10, 2020, under the theme “Telecommunications in the pandemic crisis: paths to virtualization”.
In the context of the coronavirus pandemic, the event highlighted the importance of telecommunications in guaranteeing citizens’ connectivity in all facets of society, such as health, education, services, industry and entertainment.
The first-place winner of the Best Student Paper Award was Ayman Sabah, UNL student and PhD Research Asssistant at IT, for his paper “Aggregate Interference Power Characterization for Directional Beamforming Wireless Networks”.
The other award-winner was Amélia Ramos (UA/IT), who took third place for her work “3D printed horn antenna for satellite communication systems”, developed at IT in Aveiro.
Lastly, IT also played a part in the second-place win, which went to Daniela Godinho (FCUL/IBEB) and whose work — “Optimização do Algoritmo de Remoção de Artefactos em Imagem por Microondas da Região Axilar” — was supervised by Raquel Conceição (FCUL/IBEB) and co-supervised by IT researchers Carlos Fernandes and João Felício.
As in previous years, the ANACOM-URSI Best Student Paper Award aims to encourage and distinguish young Portuguese researchers and students. In this year’s edition, ten students presented their work during the conference proceedings, in the form of a 3-5 minute pitch presentation.https://www.anacom.pt/render.jsp?contentId=1570181
The award-winning article, “Predicting taxi-passenger demand using streaming data”, was published in IEEE Transactions on Intelligent Transportation Systems, in September 2013, and was co-authored by researchers Michel Ferreira, Luís Damas (Geolink, FCUP) João Gama (INESC TEC/FEP), João Mendes Moreira (INESC TEC/FEUP) and Luís Moreira-Matias.
Their work presented a new methodology to predict the spatial distribution of taxi passengers within a short time frame, using streaming data. The research team carried out experimental tests using online data transmitted by 441 vehicles from a fleet operating in the city of Porto, and concluded that the structure they propose can provide an effective view on the spatio-temporal distribution of taxi demand within a 30-minute time frame.
According to the authors, this was pioneering work in anticipating the paradigm shift in transport research that we have witnessed in the last decade.
“We went from being ‘model-based’ — where we tried to draw mathematical models to manually explain the phenomena that occur around us — to being ‘data driven’ — where we designed algorithms to create these models automatically from large amounts of data that describe historical achievements of these same phenomena”, they explain.
The George N. Saridis Best Transactions Paper Award owes its name to the Greek George N. Saridis (1931–2006), professor at Purdue University and the Rensselaer Polytechnic Institute, who became known for pioneering intelligent control, robotics and intelligent transport systems, and led the effort to start R&D in these areas in the 1960s and 1970s.
In 2015, the Board of Governors of the IEEE ITSS approved the proposal to nominate the IEEE Best Paper Transaction Award in Intelligent Transport Systems as the George N. Saridis Award for Best Transaction Role. After almost six years of preparation and planning, the George N. Saridis Award for Best Transaction Article 2014–2017 was announced for articles published in IEEE Transactions on Intelligent Transportation Systems, which rewards the articles with the greatest impact and most citations on Google Scholar.https://sigarra.up.pt/fcup/pt/noticias_geral.ver_noticia?P_NR=66693