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Leila Hashemi Beni

Assistant Professor

North Carolina Agricultural and Technical State University
College
College of Science and Technology

Department
Department of Built Environment

Contact
Price Hall 112
Education
B.S.Civil Engineering (Geomatics) / University of Isfahan
M.S.Civil Engineering (Geomatics Photogrammetry) / University of Tehran
Ph.D.Geomatics Science / Laval University

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).
  • Leila Hashemi-Beni, Lyubov Kurkalova, Timothy Mulrooney, Chinazor Azubike (2021). (Combining multiple geospatial data for estimating above ground biomass in North Carolina forests). Remote Sensing.
  • 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.