Mashaal Musleh
Ph.D. Candidate | Department of Computer Science & Engineering | University of Minnesota, United States
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I am a Ph.D. candidate in Computer Science and Engineering at the University of Minnesota. I obtained my BS degree in Computer Engineering in 2015 with first-class honors from Umm Al-Qura University and my MS degree in 2018 from the University of Minnesota. My current research focuses on providing accurate map services such as routing, ETAs, range, and KNN queries by improving the quality of the map itself using machine learning approaches.
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RASED: A Scalable Dashboard for Monitoring Road Network Updates in OSM
We present RASED; a scalable dashboard that enables users to interactively monitor and analyze the evolution and changes of the OpenStreetMap (OSM) road network. This tool allows map analysts, urban and transportations planners to query and visualize various statistics about road network changes worldwide, to understand the map status and stability anywhere in the world. RASED relies on daily and monthly offline precomputations, accessed via a hierarchical temporal index structure, making it possible to support queries in the order of milliseconds, regardless of query temporal window size. This allows for highly interactive map analysis, even at a global scale.
Mashaal Musleh
Ph.D. Candidate | Department of Computer Science & Engineering | University of Minnesota, United States
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