2021 Virtual Keynote Speaker Series
Capture and Interpretation of Mobility Data
Tuesday, 29.6.2021 at 14:00 CEST (12 p.m. UTC)
New sensors and analysis processes allow to capture mobility information at scale: among those, opportunistic crowd sourcing data are predominant, where moving objects like humans or cars carry sensors which are able to measure trajectories. Other sources of trajectories are images, where objects can be automatically tracked. The presentation will focus on the analysis and interpretation of such data - both from a computational and an application point of view.
Monika Sester is a surveying engineer by training (University Karlsruhe) and earned her PhD on a topic of Machine Learning at the University of Stuttgart in 1995, and her habilitation in 2000 on the automatic generation of multiple representations of geodata. Since 2000 she has been professor and head of the Institute of Cartography and Geoinformatics (ikg) at Leibniz University Hannover. She and her group work on the automation of spatial data processing with methods from computational geometry, optimization and AI. Her projects are funded by the German Science Foundation (DFG), German Ministries, EU, as well as collaborations with Mapping Agencies and industry. She chaired several Working Groups in ISPRS (international Society of Photogrammetry and Remote Sensing) and was Vice President of the International Cartographic Association (2015-2019). She has been Vice President of Leibniz University Hannover (2016-2017). Currently, Monika is chair of a Senate Commission of the DFG on Earth System Science and member of the Senate of the Helmholtz Association. She published 138 papers in peer-reviewed international journals and conferences.