Yahoo! JAPAN R&D

The work of our intern for 2013, Kentaro Nishi (Tokyo University, Shimosaka Research Group), was developed and presented at Urb-IOT, SIGSPATIAL. His research involved using location data to extract land-use patterns and predict pedestrian numbers.

Extracting Land-Use Patterns using Location Data from Smartphones (Urb-IoT 2014)

Hourly Pedestrian Population Trends Estimation using Location Data from Smartphones Dealing with Temporal and Spatial Sparsity (SIGSPATIAL 2014)

At Yahoo! JAPAN Research, the interns aim to coauthor papers for presentation, but these two master’s degree papers really stood out at overseas conferences.

Thanks for your hard work, Mr Nishi!