Serves as an Editor in IEEE Wireless Communications Letters journal and acts as a reviewer for many prestigious journals; member of over 30 program committees at international conferences and workshops including flagship conferences such as IEEE ICC, Globecom, WCNC, VTC, etc.; published more than 140 conference and journal papers, four book chapters, and holds four US patents; recipient of the best paper award at European Wireless 2017, bronze medal at ACM Mobicom App contest 2015, Exemplary reviewer and Best Editor awards from IEEE Wireless Communications Letters in 2020 and 2024, respectively; included in the list of 2% top Scientists published by Stanford University since 2019.
Research Experience
From 2006 to 2007, worked at Sitronics R&D center focusing on speech quality in VoIP; involved in research activities at Vodafone R&D center at Czech Technical University in Prague in 2009; interned at Budapest Politechnic (2007), CEA-Leti (2013), and EURECOM (2016, 2019, 2023); participated in many European and national research projects focused on mobile networks; represented Czech Technical University in Prague in ETSI and 3GPP standardization organizations from 2013 to 2017.
Education
Received M.Sc. and Ph.D. in Telecommunication Engineering from the Czech Technical University in Prague, Czech Republic in 2005 and 2010, respectively. Currently, he is a Full Professor at the Department of Telecommunication Engineering, Czech Technical University in Prague, Czech Republic.
Background
Research interests include mobility management, radio resource management, edge computing, NTN, UAVs, C-RAN, machine learning/artificial intelligence, robotics, and autonomous systems.
Miscellany
Successfully supervised more than 40 master and bachelor students and four PhD students, out of which, five master and three PhD students received the deans award for their theses; one student received the rector’s award for excellent dissertation; under his (co-)supervision, students developed demos of drone acting as a flying base station, channel quality prediction based on machine learning, remote robot control via 5G, and autonomous vehicle communicating via 5G.