International Conference on Pervasive Computing and Communications (PerCom Workshops)

PerCom 2023 solicits research contributions in all areas pertinent to pervasive computing and communications, especially those that cross traditional research boundaries. In particular, we target:

Advances in pervasive systems and infrastructures: middleware systems and services; data engineering for pervasive computing; cloud, fog and edge computing; integrations of smartphones in pervasive experiences; applications of device-to-device coordination.

Theories, models, and algorithms: context modeling and reasoning; adaptive computing; activity and emotion recognition; programming paradigms; applied machine learning; deep machine learning; federated learning; causal learning; cognitive computing; complex networks; spatio-temporal modeling techniques.

Domain-specific challenges and novel applications: urban/mobile crowdsensing & intelligence; PerCom for healthcare and well-being; cyber-physical PerCom; smart homes and virtual assistants; mixed reality; sports analytics; crime prevention; pervasive nowcasting; urban robotics; pervasive AR/VR; smart vehicles; disaster sensing and management.

Intersections of PerCom with: opportunistic networks; IoT and sensor systems; RFID systems; pervasive data science, cyber physical systems, 3D networks.

New techniques for user-level concerns: participatory and social sensing; trust, security, privacy, and ethics; user interface, interaction, and persuasion; online and offline social networking and pervasive computing.

Technological innovations: architectures, protocols, and technologies for pervasive communications; energy-harvesting, self-powered, or battery-less systems; mobile and wearable systems; smart devices and environments; positioning, navigation, timing, and tracking technologies; device-free human sensing.

Contributions can be analytical, empirical, technological, methodological, or a combination. Papers reporting strong systems engineering contributions backed by solid and appropriate evaluations are strongly encouraged. The impact of the contributions should be demonstrated in the context of pervasive computing and communications applications.