Throughout his career, David has been dedicated to exploring the intricate realms of both cellular and Wi-Fi networks. His primary research interests encompass large-scale network modeling, network performance analysis, network planning and optimization, small cells, massive MIMO, green networking, drone communications, big data, machine learning, and innovative technology and feature development.
As main contribution, David contributed to advancing the theoretical understanding of small cells and ultra-dense networks. He has also pioneered groundbreaking work in areas such as cellular and Wi-Fi inter-working, network energy efficiency, and the development of multi-antenna capabilities and ultra-reliable low-latency features for hyper-critical wireless networks.
David's leadership experience is equally diverse, having managed interdisciplinary research teams of varying sizes at both Nokia Bell Labs and Huawei Technologies. His teams have seamlessly integrated wireless expertise with mathematics, big data analytics, and machine learning to drive innovation and achieve remarkable results.
David's impactful contributions extend to his role as Nokia Bell Labs' technical leader on Hyper Critical Wireless Networks and IEEE 802.11be standardization. During his tenure at Huawei Technologies, he led a pioneering team focused on large-scale, data-driven network optimization, with a particular emphasis on harnessing the power of big data and machine learning.
David's academic prowess is well-documented, as evidenced by his authorship of a book on small cells and another on ultra-dense networks. He has also published 13 book chapters, 65 journal articles (52 of which have appeared in prestigious Q1 journals), and 97 conference papers on a diverse array of related topics.