Predavanje: Choosing the right home location definition for the given dataset

Sažetak: 
Ever since first mobile phones equipped with Global Position System (GPS) came to the market, knowing the exact user location has become a holy grail of almost every service that lives in the digital world. Starting with the idea of location based services, nowadays it is not enough to know user location in form of latitude longitude coordinates provided by GPS devices, but also to give a place its meaning (i.e. semantically label it), in particular detecting the most probable home location for the given user. In this lecture we will provide novel insights on differences among the ways how different types of human digital trails represent the actual mobility patterns and therefore the differences between the approaches interpreting those trails for inferring said patterns. 

Životopis:
Iva is a computer scientist with a research emphasis in urban studies and telecommunications. She holds two masters – one in Computer Science and the other one in Mathematics, both of which are from University of Zagreb, Croatia. Her doctoral thesis on “Self-organizing Synchronization in Machine-to-Machine Communication Systems” was awarded the Dean’s award for outstanding doctoral dissertation and particularly successful scientific research. In 2012 Iva received the “Google Anita Borg” award from Google for strength of academic performance, leadership experience and demonstrated passion for computer science. The same year she was also awarded the “Richard E. Merwin” award by the Institute of Electrical and Electronics Engineers (IEEEE) organization for demonstrating outstanding involvement in IEEE and excellence in academic achievement.