Mitra Baratchi’s research is focused on spatio-temporal data mining and mobility modelling.
Mitra Baratchi’s research is focused on spatio-temporal data mining and mobility modelling. More specifically, she is interested in designing algorithms that extract patterns from the trajectories of moving objects such as cars, people, and animals. Such research is targeting applications in crowd monitoring, smart mobility, and urban planning.
Before joining LIACS, Mitra worked as a post doc researcher in Design and Analysis of Communication Systems research group at University of Twente. Prior to that she was a researcher in Ambient Intelligence research group at Saxion University of Applied Sciences. In June 2015 she received her PhD degree from University of Twente.
See for more information my personal website.
- Wang C., Bäck T.H.W., Hoos H.H., Baratchi M., Limmer S. & Olhofer M. (2019), Automated Machine Learning for Short-term Electric Load Forecasting. In: 2019 IEEE Symposium Series on Computational Intelligence (SSCI).: IEEE. 314-321.
- Chilipirea C., Dobre C., Baratchi M. & Steen M. van (2018), Identifying Movements in Noisy Crowd Analytics Data. In: 2018 19th IEEE International Conference on Mobile Data Management (MDM).: IEEE. 161-166.
- Chilipirea C., Baratchi M., Dobre C. & Steen M. van (2018), Identifying Stops and Moves in WiFi Tracking Data, Sensors 18(11): 4039.
No relevant ancillary activities