Leila Hashemi Beni

Research Interests

Dr. Hashemi Beni research interests include multi-source, multi-temporal, multimodal data fusion, geospatial data modeling, data-driven and deep learning, UAV and satellite remote sensing, spatial-temporal data analysis, remote sensing image classification, developing GIS and RS for different applications including Environmental Management, Transportation, Hydrology, Agriculture and AgriFood, and Urban Planning

External URL

https://www.leilahashemi.info/

Recent Publications

• A. Gebrehiwot, Leila Hashemi-Beni (A METHOD TO GENERATE FLOOD MAPS IN 3D USING DEM AND DEEP LEARNING). XLIV-M-2-2020, pp. 25-28. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
• Leila Hashemi-Beni, S. McArdle, Y. Khayer (An Integrated Method for Mapping Impervious and Pervious Areas in Urban Environments Using Hyperspectral and LiDAR Data). II-2, pp. 87-91. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences.
• Leila Hashemi-Beni, Jeffery Jones, Gary Thompson, Curt Johnson, Asmamaw Gebrehiwot (Challenges and Opportunities for UAV-Based Digital Elevation Model Generation for Flood-Risk Management: A Case of Princeville, North Carolina). (11) 18, pp. 3843. Sensors.
• Asmamaw Gebrehiwot, Leila Hashemi-Beni, Gary Thompson, Parisa Kordjamshidi, Thomas Langan (Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data). (7) 19, pp. 1486. Sensors.
• Leila Hashemi-Beni, A. Gebrehiwot (DEEP LEARNING FOR REMOTE SENSING IMAGE CLASSIFICATION FOR AGRICULTURE APPLICATIONS). XLIV-M-2-2020, pp. 51-54. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
• T. McKee, Leila Hashemi-Beni (DEVELOPING GEOSPATIAL SCIENTISTS – USING STUDENTS AS PARTNERS IN DRONE RESEARCH). XLIV-M-2-2020, pp. 69-72. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.
• Mir Mostafavi, Leila Hashemi-Beni, Karine Mallet (2010). (Geosimulation of Geographic Dynamics Based on Voronoi Diagram). (Transactions on Computational Science IX) pp. 183-201. Springer Berlin Heidelberg.
• Leila Hashemi-Beni, Sébastien Villeneuve, Denyse LeBlanc, Pascal Delaquis (2011). (A GIS-based Approach in Support of an Assessment of Food Safety Risks). 15, pp. 95-108. Transactions in GIS.
• Leila Hashemi-Beni, Mir Mostafavi, Jacynthe Pouliot, Marina Gavrilova (2011). (Toward 3D spatial dynamic field simulation within GIS using kinetic Voronoi diagram and Delaunay tetrahedralization). (1) 25, pp. 25-50. International Journal of Geographical Information Science.
• Leila Hashemi-Beni, S Villeneuve, D LeBlanc, K Côté, A Fazil, A Otten, R McKellar, P Delaquis (2012). (Spatio-temporal assessment of food safety risks in Canadian food distribution systems using GIS.). (3) 3, pp. 215-23. Spatial and spatio-temporal epidemiology.
• Denyse LeBlanc, Sébastien Villeneuve, Leila Hashemi-Beni, Ainsley Otten, Aamir Fazil, Robin McKellar, Pascal Delaquis (2015). (A national produce supply chain database for food safety risk analysis). 147, pp. 24-38. Journal of Food Engineering.
• Leila Hashemi-Beni, J Jones, G Thompson, C Johnson, A Gebrehiwot (2018). (Challenges and Opportunities for UAV-Based Digital Elevation Model Generation for Flood-Risk Management: A Case of Princeville, North Carolina.). (11) 18, Sensors (Basel, Switzerland).
• A Gebrehiwot, Leila Hashemi-Beni, G Thompson, P Kordjamshidi, T Langan (2019). (Deep Convolutional Neural Network for Flood Extent Mapping Using Unmanned Aerial Vehicles Data.). (7) 19, Sensors (Basel, Switzerland).
• Chyi Lyi Liang, Lyubov Kurkalova, Timothy Mulrooney, Manoj Jha, Leila Hashemi-Beni, Greg Monty, Haoran Miao (2021). (Introducing the innovative design to examine human-environment dynamics of food deserts). (2) 10, pp. 123-133, https://doi.org/10.5304/jafscd.2021.102.037. Journal of Agriculture, Food Systems, and Community Development.
• Timothy Mulrooney, Richard Foster, Chyi Lyi Liang, Haoran Miao, Manoj Jha, Leila Hashemi-Beni, Greg Monty, Lyubov Kurkalova (2021). (Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North Carolina). 128, pp. https://doi.org/10.1016/j.apgeog.2021.102415 . Applied Geography.