Team

Researchers

David López-Pérez (Principal Investigator)

Dr. David López-Pérez is a Distinguished Researcher at Universitat Politècnica de València. Prior to this, David was an Expert and Technical Leader at Huawei Technologies, Paris, and a Distinguished Member of Staff at Nokia Bell Labs, Dublin.

David has devoted most of his career to the study of both cellular and Wi-Fi networks, where his main research interests are in network performance analysis, both theoretical- and simulation-based, network planning and optimization as well as green networking and technology and feature development.

David’s main contributions are around the understanding of small cells and ultra-dense networks as well as green communications. He has also pioneered work on cellular and Wi-Fi inter-working and investigated both multi-antenna capabilities and ultra-reliable low latency features for future indoor networks. David was recognized as Bell Labs Distinguished Member of Staff in 2019, has authored a book on small cells, a book on ultra-dense networks, and has published more than 150 research manuscripts on a variety of related topics. David has filed 59 patents applications with more than 25 granted as of today and has received a number of prestigious awards (IEEE WCNC 2019 Best student paper award, IEEE Globecom 2022 best paper award). Among others, David has also been project lead at Next Generation Mobile Networks (NGMN) Alliance and is a retired editor of IEEE TWC.

German Svistunov (PhD candidate)

German Svistunov is a PhD student at Universitat Politècnica de València under the guidance of Dr. David Lopez-Perez. Prior to this, German worked as an R&D engineer in the telecommunications industry since 2010.
He was a member of the Channel Coding Laboratory and RTT Laboratory at the Moscow Research Center of Huawei during the 5G channel coding standardization process and post-standardization research. German contributed in the areas of LDPC code design, decoding optimization, machine learning applications for channel coding, and other related topics. He is a co-author of several international patent applications and research papers in the field of channel coding. His areas of competence include post-5G and 6G communication, error correction coding, and the machine learning application for wireless communication.

Azim Akhtarshenas (PhD candidate)

Azim Akhtarshenas is a Ph.D. student at Universitat Politècnica de València under the supervision of Dr. David Lopez-Perez. Before this, Azim was a teaching assistant (TA) and research assistant (RA) in the School of Electrical and Computer Engineering at the University of Tehran, Iran, from 2015 to 2022. From 2016 to 2018, he worked as technical staff for the Telecommunication Center of the University of Tehran and also contributed to implementing a Wireless Communication Network under Voice over Internet Protocol (VoIP). Azim is the corresponding author and co-author of several international research papers in the fields of Machine Learning (ML), Convolutional Neural Networks (CNN), the Internet of Things (IoT), and Federated Learning (FL). His areas of interest are 6G wireless communication, ML, and IoT.

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