The mobile phones play a key role as sensors of dynamic human behavior, hence its a geolocalization device for tracing each individual. Whereas physical existence and spatial behavior of individuals in urban can reveals human mobility patterns in different scales of time and distances. Therefore, huge spatio-temporal datasets for millions of mobile network subscribers give normal events that reflect daily life patterns and anomalous events that reflect unusual conditions form an impression of the city dynamic evolution over time, hence the analyzing and understanding the dynamics in the city and reconstruct the comprehension of population and city management, which has deep perception of individuals mobility and stream movement in urban.
Chair: Dr. Suhad Faisal Behadili |
University of Baghdad
Suhad Faisal Behadili is a Lecturer in the Department of Computer Science in the College of Science at the University of Baghdad, Baghdad/Iraq.She has a Ph.D. from the LITIS at Normandie University-Le Havre/ France. She is currently editorial member of the American Journal of Information Science and Technology. She is a program committee member in several international conferences, and a reviewer for IJS and IASET journals.