Research Associate Professor
at IMDEA Networks
Next Generation Wireless Networks; Visible Light Communication Systems; Mobile Indoor Localization Systems; Distributed Spectrum Monitoring Systems; mmWave Communication Systems
Dr. Domenico Giustiniano is Research Associate Professor (tenured) at IMDEA Networks Institute and leader of the Pervasive Wireless Systems group. Dr. Giustiniano is leader of the OpenVLC project, an open-source platform for research in visible light communication networks and co-founder of the non-profit Electrosense association, a crowd-sourcing initiative to collect and analyse spectrum data. Before joining IMDEA, he was a Senior Researcher and Lecturer at ETH Zurich. He also worked for a total of four years as Post-Doctoral Researcher in industrial research labs (Disney Research Zurich and Telefonica Research Barcelona). He holds a PhD in Telecommunication Engineering from the University of Rome Tor Vergata (2008).
The original contributions Dr. Giustiniano has made to his field of research are exemplified by publications in international and highly competitive conference venues such as ACM MobiCom, ACM CoNEXT (8), IEEE INFOCOM (2), ACM/IEEE IPSN (4), ACM HotNets, and journals such as IEEE Journal on Selected Areas in Communications (2), IEEE/ACM Transactions on Networking (3) and IEEE Transactions on Wireless Communications. He has received the best paper award at IFIP Wireless Days 2013, best student paper award at IEEE PIRMC 2016 and best paper award runner-up at ACM CoNEXT 2016. He has been general co-chair of EWSN 2018 and of IFIP/IEEE SustainIT 2015, and regularly serves as TPC member in top conferences such as ACM Conext 2017-2018 and IEEE INFOCOM 2014-2019. Dr. Domenico Giustiniano is IEEE senior member and ACM member.
Latest NewsOne ACM Conext 2018 and one ACM HotNets 2018 accepted!
Serving as TPC member at ACM Mobicom 2019
Two ACM/IEEE IPSN papers accepted!
EWSN is over. Thanks to everyone!
One ACM Conext 2017 paper accepted!
ACM Mobicom 2017. Demo co-chair with Kirk Webb
Our paper "Crowdsourcing Spectrum Data Decoding" has been accepted at IEEE Infocom 2017