The group is conducting research on emerging networking technologies and modern pervasive systems. Our research in these areas involves both theoretical investigations and practical implementations.
Theories, models, and algorithms: Models for dynamic networks; hierarchical and heterogeneous networks; fast-evolving networks; network dynamics; network growth and evolution; epidemic processes; population protocols; complex networks; scale-free algorithms; local algorithms; applied machine learning; federated learning.
Domain-specific challenges and novel applications: urban/mobile crowdsensing & intelligence; pervasive systems for healthcare and well-being; smart water metering services; cyber-physical pervasive systems; smart homes and virtual assistants; mixed reality; pervasive AR/VR; smart vehicles; disaster sensing and management.
Technological innovations: architectures, protocols, and technologies for pervasive communications; stream processing; cloud-edge processing continuum; resource allocation in fog computing; energy-harvesting, energy-transfer, self-powered, or battery-less systems; mobile and wearable systems; smart devices and environments; positioning, navigation, timing, and tracking technologies; device-free human sensing; blockchains and smart contracts.