A large volume of research in ubiquitous systems has been devoted to using data, that has
been sensed from users' smartphones, to infer their current high level context and activities …

The prevalence of WiFi infrastructures has enabled the advancement of a wide range of WiFi-
based intelligent applications. Behavioral sensing, as an increasingly popular example, is …

WiFi-based human sensing has exhibited remarkable potential to analyze user behaviors in
a non-intrusive and device-free manner, benefiting applications as diverse as smart homes …

Mobile sensing—that is, the ability to unobtrusively collect sensor data from built-in phone
and attached wearable sensors—have proven to be a powerful approach to understanding …

Mobile health (mHealth) leverages the power and ubiquity of mobile and cloud technologies
to support patients and clinicians in monitoring and understanding symptoms, side effects …

The machine recognition of user trajectories and activities is fundamental to devise context-
aware applications for support and monitoring in daily life. So far, tracking and activity …

Personalized predictions have shown promises in various disciplines but they are
fundamentally constrained in their ability to generalize across individuals. These models are …

Device analyzer can provide a large-scale dataset that captures real-world usage of smart
phones [1]. Detailed usage records in smart phones, conveying a partial life log, are …

By leveraging advances in deep learning, challenging pattern recognition problems have
been solved in computer vision, speech recognition, natural language processing, and …