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.