ABOUT ME

Dr. David López-Pérez is an expert in wireless communications, focused on making networks like cellular and Wi-Fi faster, smarter, and more energy-efficient. Since February 2023, he’s been a Distinguished Researcher at the Universitat Politècnica de València, working with the Institute for Telecommunications and Multimedia Applications (iTEAM). His work revolves around solving real-world challenges in data-driven network modeling and optimization, applying machine learning to networks, and developing technologies for greener and more sustainable networking.

David’s career is a mix of academic achievements and hands-on industry experience. He earned his PhD in wireless communications from the University of Bedfordshire, UK, as a Marie Curie Fellow, followed by postdoctoral research at King’s College London. In the telecom industry, David held senior roles at some of the biggest global companies.

At Nokia Bell Labs in Dublin, he climbed the ranks from Research Engineer to Distinguished Member of Technical Staff (DMTS), working on a variety of advanced projects. His research covered topics like small cells, ultra-dense networks, massive MIMO, cellular and Wi-Fi inter-working, and the development of Wi-Fi 7 technologies.

Later, at Huawei Technologies in Paris, David served as an Expert and Technical Leader, where he led projects on data-driven network modelling and optimization, machine learning for network automation, and enhancing network energy efficiency and drone communications.

David has published widely, with three books, 13 book chapters, and over 171 papers, including 74 journal articles in top-tier publications. He’s also filed 60 patent applications. His current research interests span areas like 6G, cm-wave operation, ultra-dense networks,  non-terrestrial networks, drone communications, energy efficiency, and leveraging big data and machine learning to improve wireless systems.

His work has earned him several prestigious awards, including the IEEE ComSoc Best Young Professional in Industry Award (2016), the Bell Labs DMTS (2019), the IEEE WCNC Best Student Paper Award (2019), and the IEEE Globecom Best Paper Award (2022). With over 11,500 citations, his contributions to wireless communications are widely recognized in the field.

Beyond research, David has led interdisciplinary teams that combine wireless technology with data science and machine learning. He has also been actively involved in projects with the Next Generation Mobile Networks Alliance and has served as an editor for IEEE Transactions on Wireless Communications.

Skills

Cellular

Wi-Fi

Modelling

Theoretical analysis

System-level simulation

Large-scale network Optimization

Small cells

Multi-antenna technology

Energy efficiency

UAV

NTNs

Stats

• Elsevier top 100,000 scientists (Aug. 2021, Sep. 2022, Oct. 2023 update)
• Research.com Best Electronics and Electrical Engineering Scientists
  • 2023 => World: 3204 / National: 49

Societies

Hobbies

Cycling

Music

Gym

Cinema

Aircarfts