RECENT PUBLICATIONS

Fawakherji, M. and Hashemi-Beni, L. (2025) ‘Flood detection and mapping through multi-resolution sensor fusion: integrating UAV optical imagery and satellite SAR data’, Geomatics, Natural Hazards and Risk, 16(1).

Tewodros Syum Gebre, Simachew Endale Ashebir, Jeffrey Blay, et al. Real-Time Traffic Insights with Physics-Informed Neural Networks: Integrating the Aw-Rascle Model and LLMs. TechRxiv. May 30, 2025.

T. Syum Gebre, E. Tsehaye Wasehun, F. Elikem Dorbu, G. Oluwasegun Agboola, A. Karimoddini and L. Hashemi-Beni, "Adaptive Input Sampling: A Novel Approach for Efficient Object Detection in High Resolution Traffic Monitoring Images," in IEEE Access, vol. 13, pp. 73003-73021, 2025

Jamali, A., Roy, S.K., Lu, B., Beni, L.H., Kakhani, N., Chanussot, J. and Ghamisi, P., 2025. MSHCCT: A Multi-Scale Compact Convolutional Network for High Resolution Aerial Scene Classification. IEEE Geoscience and Remote Sensing Letters

Wasehun, E.T., Beni, L.H., Di Vittorio, C.A., Zarzar, C.M. and Young, K.R., 2025. Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models. Ecological Informatics, 85, p.102988

Fawakherji, M., Blay, J., Anokye, M. et al. DeepFlood for Inundated Vegetation High-Resolution Dataset for Accurate Flood Mapping and Segmentation. Sci Data 12, 271 (2025)

Gray II, W., Newaz, A.A.R., Khaleghi, M., Nguyen, H.T., Beni, L.H., Shahbazi, A. and Karimoddini, A., 2025. Multi-UAV Tasking and Coordination for Monitoring and Coverage of Agricultural Farmland. Journal on Autonomous Transportation Systems.

Anokye, M. and Hashemi-Beni, L., 2025. Evaluating Coastal Wetland Mapping Accuracy with High-Resolution Multi-spectral Imagery and LiDAR Remote Sensing Data. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp.109-116

Dorbu, F. and Hashemi-Beni, L., 2024. Detection of individual corn crop and canopy delineation from unmanned aerial vehicle imagery. Remote Sensing, 16(14), p.2679.

Gebre, T.S. and Hashemi-Beni, L., 2024, July. An Integrated Framework of GPT-4 and PINN for Dynamic Traffic Estimation and Support. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 5457-5460). IEEE

Anokye, M., Fawakherji, M. and Hashemi-Beni, L., 2024, July. Flood Resilience Through Advanced Wetland Prediction. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 5516-5520). IEEE

Agboola, G. and Beni, L.H., 2024, July. Geospatial Insights: Unraveling Howard Landslide Suspectibility. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 3014-3017). IEEE

Fawakherji, M. and Hashemi-Beni, L., 2024, July. Multi-Head Encoder-Decoder Deep Learning Architecture for Flood Segmentation and Mapping Through Multi-Sensor Data Fusion. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 1191-1195). IEEE

Blay, J., Fawakherji, M. and Hashemi-Beni, L., 2024, July. Flood Impact Risk Mapping in Settlement Areas from a 3D Perspective: A Case Study of Hurricane Matthew. In IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium (pp. 3939-3942). IEEE.

Agboola, G., Beni, L.H., Elbayoumi, T. and Thompson, G., 2024. Optimizing landslide susceptibility mapping using machine learning and geospatial techniques. Ecological Informatics, 81, p.102583

Gebre, T.S., Beni, L., Wasehun, E.T. and Dorbu, F.E., 2024. AI-integrated traffic information system: A synergistic approach of physics informed neural network and GPT-4 for traffic estimation and real-time assistance. IEEE Access, 12, pp.65869-65882

Jamali, A., Roy, S.K., Beni, L.H., Pradhan, B., Li, J. and Ghamisi, P., 2024. Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery. International Journal of Applied Earth Observation and Geoinformation, 127, p.103662

Dorbu, F.E., 2024. Data-Driven approach for processing remote sensing time-series imagery for precision agriculture (Doctoral dissertation, North Carolina Agricultural and Technical State University)

Salem, A.B., 2024. Floodwater Mapping Using Synthetic Aperture Radar and Optical Data Fusion (Doctoral dissertation, North Carolina Agricultural and Technical State University)

Hashemi-Beni, L., Puthenparampil, M. and Jamali, A., 2024. A low-cost IoT-based deep learning method of water gauge measurement for flood monitoring. Geomatics, Natural Hazards and Risk, 15(1), p.2364777