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
Algorithms for Geospatial Computing
GEOG 470/770/CMSC 401
• 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
|Course Name||Course Title||Semester||Syllabus|
|GEOG788i||Data Structures for Geospatial Computing||Spring 2018||Syllabus|
I served as the editor-in-chief of the IEEE Transactions on Visualization and Computer Graphics (TVCG), the top journal in visualization, virtual reality and computer graphics, for two terms from 2015 to 2018. My service as editor-in-chief of IEEE TVCG (has provided me with invaluable experience on both publications and conferences, because of the peculiar characteristics of this publication, unique in the CS and IEEE portfolio.I have developed and experimented a new model of close collaboration between journals and conferences. Such model builds on the strengths of these publication modes, in which conference presentations are fundamental for visibility and dissemination while journal publications are directed to archival purposes and mostly academic career advancement. This initiative has generated a significant higher standing of TVCG among top peer reviewed publications, with a high increase in its impact factor, in the number of downloads and submissions as well as an increase in conference participation, especially IEEE Visualization, where almost half of the papers presented in 2018 have been TVCG regular papers.
Over the last several years I have been actively involved in open science and research reproducibility. As the 2020 CS President, I promotes such activities through an adhoc committee of leading experts in reproducibility from inside and outside IEEE, which conducted an assessment and analysis of reproducibility activities in IEEE and inside the Computer Society and produced a set of recommendations publicized in the community through a webinar, and a publication. I 2017-2018, as editor-in-chief of IEEE TVCG, I started one of the two pilot projects inside the Computer Society in reproducibility, participating in the graphics community replicability initiative, enhancing the papers published in the Society Digital Library with their reproducible code and data.
International2020 IEEE Computer Society President
ProfessionalEditor in Chief - IEEE Transcactions on Visualization and Computer Graphics (2015-2018)
InternationalFounding Chair, IEEE Computer Society Diversity and Inclusion Committee, 2021
InternationalMember of the Computer Society Board of Governors, since 2017 (Chair in 2020)
ProfessionalAssociate Editor - Graphical Models, since 2010
ProfessionalAssociate Editor, ACM Transactions on Spatial Algorithms and Systems, since 2013
ProfessionalAssociate Editor, GeoInformatica, since 2004
ProfessionalAssociate Editor, Computers & Graphics, since 2020
ProfessionalMember of the Editorial Board, Computer Science Review, since 2021
ProfessionalMember if the Editorial Board, International Journal of Geo-Information, since 2019
ProfessionalMember of the Editorial Board, International Journal of Spatial Information Science, since 2014
NationalBoard Member, Computing Research Association (CRA), since 2020
CampusMember of BSOS College Council
Federico IuricichAssistant Professor of Computer Science, Clemson University
Riccardo FellagaraSenior Scientist, German Aerospace Institute (DLR)
Ulderico FugacciTenured Scientist at the Italian National Research Council, Genova (Italy)
Sara ScaramucciaPostdoc, Politecnico di Torino, Italy.
Kenneth WeissComputer Scientist, Lawrence Livermore Research Laboratory, US.
Paola MagilloAssociate Professor, University of Genova (Italy)
Enrico PuppoFull Professor, University of Genova, Italy
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