I am offering the following course in Spring 2023 (Tuesdays and Thursdays: 12:30pm – 1:45pm) Algorithms for Geospatial Computing GEOG 470/770/CMSC 401 Course Description • Introduction to fundamental geometric algorithms for spatio- temporal data processing and analysis. • Managing and clustering point clouds for processing and analysis of LiDAR data. • Terrain modeling: representations, query algorithms, visibility and morphological analysis. • Applications: terrain reconstruction, urban modeling, forest management and coastal data management and analysis • Algorithms for road network analysis and reconstruction. • Scalable algorithms and representations for big geospatial data. Prerequisites. Some programming background in Python or C++ is required for this course. Course Learning Objectives Upon a successful completion of the course the students will be able to: • Acquire in-depth knowledge of fundamentals of algorithms for geospatial data science. • Learn techniques for efficiently encoding, manipulating and querying geospatial data. • Gain substantial understanding of how geospatial data are actually processed in modern geographical information systems. • Learn how to design, use and implement algorithms dealing with geospatial data, with emphasis on point data processing and analysis, on terrain modeling and on road network analysis. • Apply algorithms for discrete and continuous geospatial data to LiDAR data processing and analysis, and algorithms for road network routing and reconstruction to real-world data sets • Learn how to use open-source software to solve geospatial data analysis problems
De Floriani, Leila
Bio
Leila De Floriani is a full professor at the University of Maryland with a joint appointment with the Department of Geographical Sciences and the University of Maryland Institute for Advanced Computer Studies (UMIACS). She is also affiliated with the Department of Computer Science, with the Center for Geospatial Information Science, and with the UMIACS Center for Automation Research. Since Fall 2021, she is the Director of Graduate Studies in Geographical Sciences.
De Floriani has previously been a professor of Computer Science at the University of Genova (Italy), where she developed the first undergraduate and graduate curricula in computer graphics in Italy, and served as Director of the Ph.D. program in Computer Science for eight years. During her career, she has also held positions at the University of Nebraska, at Rensselaer Polytechnic Institute, and at the Italian National Research Council.
De Floriani was the 2020 President of the IEEE Computer Society. She is the IEEE Division VIII Division Director since January 2023. She is a member of the Board of Governors of the IEEE Computer Society since 2017. She is a member of the Computing Research Association (CRA) Board, and of the IEEE Conferences and Conference Publications Committees.
She is a Fellow of IEEE, a Fellow of the International Association for Pattern Recognition (IAPR), a Fellow of the Eurographics Association, a Pioneer of the Solid Modeling Association, and an inducted member of the IEEE Visualization Academy. She has been awarded the IEEE Computer Society Golden Core and an inducted member of the IEEE Honor Society IEEE-HKN.
She has been the editor-in-chief of the IEEE Transactions on Visualization and Computer Graphics (TVCG) for two terms from 2015 to 2018 and served as an associate editor for IEEE TVCG from 2004 to 2008. De Floriani is currently an editor of ACM Transactions on Spatial Algorithms and Systems, Computers & Graphics, Computer Science Review, GeoInformatica, Graphical Models, ISPRS International Journal of Geo-Information, and International Journal of Spatial Information Science. She has served on the program committees of over 150 leading international conferences, contributing in several conferences in a leadership capacity.
De Floriani has authored over 300 peer-reviewed scientific publications in data visualization, spatial data representation, and processing, computer graphics, geometric modeling, shape analysis, and understanding, garnering several best paper awards and invitations as a keynote speaker. Her research has been funded by numerous national and international agencies, including the European Commission and the National Science Foundation.
Please visit http://www.umiacs.umd.edu/~deflo/ for a description of her research, teaching and service activities.
Areas of Interest
- Geospatial data visualization
- Topology-based data visualization
- Spatial data structures
- Spatial big data representation and analysis
- Terrain modeling and analysis
- Topological data analysis
- Geometric modeling and processing
Research Topics
Leila De Floriani
Professor and Graduate Director
| 1135 LeFrak Hall
| deflo@umd.edu
| (301) 405-6584