Modeling human mobility has a wide range of applications from urban planning to
simulations of disease spread. It is well known that humans spend 80% of their time indoors …

Understanding and predicting mobility are essential for the design and evaluation of future
mobile edge caching and networking. Consequently, research on human mobility prediction …

Human mobility prediction is essential to a variety of human-centered computing
applications achieved through upgrading of location-based services (LBS) to future-location …

Human mobility prediction is a key task in smart cities to help improve urban management
effectiveness. However, it remains challenging due to widespread intractable noises in large …

Predicting human mobility flows at different spatial scales is challenged by the heterogeneity
of individual trajectories and the multi-scale nature of transportation networks. As vast …

Analyzing human mobility patterns is valuable for understanding human behavior and
providing location-anticipating services. In this work, we theoretically estimate the …

The estimation of human mobility patterns is essential for many components of developed
societies, including the planning and management of urbanization, pollution, and disease …

The recent advances in smart building technologies have enabled us to collect massive Wi-
Fi network based trajectory data, which provide an unparalleled opportunity for …

Human mobility modeling is a complex yet essential subject of study related to modeling
important spatiotemporal events, including traffic, disease spreading, and customized …

Human lives are composed by series of events and activities. Considerable research effort
has been made to probe, sense, and understand them. In our research, we are interested in …