Maria Luisa Damiani
Data science with focus on representation, protection, analysis of mobility data:
Mobility patterns indoors and outdoors
Modeling the semantic dimension of mobility data
Trajectories segmentation methods and quality metrics
Location privacy and location-based access control
Applications in: animal ecology, museums, geology
M.L. Damiani holds a Ph.D in Computer Science from EPFL and a Laurea (equivalent to M.Sc) in Computer Science from University of Pisa cum laude . Prior to joining academia in 2003, she held various positions in applied research in public and private companies. She is associate editor for IEEE TDSC, ACM TSAS, Springer GeoInformatica and member of the Executive Committee @ ACM Special Interest Group on Spatial Information : https://www.sigspatial.org/ (2020-2023) .
Appointed General Co-Chair in ACM SIGSpatial 2023, Germany
PC Co-Chair in IEEE Mobile Data Management 2023, Singapore
Co-organizer of the 2nd ACM SIGSpatial Hanimob'22 (Workshop on Animal Movement Ecology and Human Mobility)
Workshop Co-Chair in ACM SIGSpatial 2022 (Seattle, Nov 2022)
Paper @ IEEE Percom 2022. Fine-grained stop detection in UWB-based trajectories, F. Hachem, D. Vecchia, M.L. Damiani, G.P. Picco. Teaser @ https://www.youtube.com/watch?Paper v=8ZNcMFzp0AI.
Current funded projects: MUR Prin NG-UWB : Next-generation Ultra-wideband Localization and Communication for the Internet of Things [Sept 2019- Feb 2023]