My current research activities are focused on advances in several fields of rapid technology development, notably wireless networks and energy systems, and on the fundamentals underlying them, including information theory, machine learning and network science.

The dramatic increase in demand for new capacity and higher performance has been a major issue in the design and deployment of contemporary wireless networks. The development of these capabilities is severely limited by the scarcity of two of the principal resources in wireless networks: energy and bandwidth. Emerging generations of wireless standards and applications such as Internet of Things (IoT) are addressing these issues through the use of techniques such as cooperative communications, spectrum sharing, energy harvesting, cloud processing and densification of infrastructure. One focus of our recent work has addressed the fundamental limits of such techniques through information theoretic and related analyses of high-reliability and low-latency communications. Another focus has been on addressing the fundamental ability of the physics of the radio channel to provide security in data transmission, and the development of codes and other methods to exploit this capability. A further issue that we are exploring is the use of wireless networks as platforms for machine learning, through the development of federated and decentralized learning algorithms and the study of their interactions with the wireless medium.