Feasibility study of urban flood mapping using traffic signs for route optimization. - Bahareh Alizadeh Kharazi; Diya Li; Zhe Zhang 001; Amir H. Behzadan (CoRR, 2021)

Flood depth mapping in street photos with image processing and deep neural networks. - Bahareh Alizadeh Kharazi; Amir H. Behzadan (Comput. Environ. Urban Syst., 2021)

Blupix: citizen science for flood depth estimation in urban roads. - Bahareh Alizadeh Kharazi; Amir H. Behzadan (ARIC@SIGSPATIAL, 2022)

Human-centered flood mapping and intelligent routing through augmenting flood gauge data with crowdsourced street photos. - Bahareh Alizadeh Kharazi; Diya Li; Julia Hillin; Michelle A. Meyer; Courtney M. Thompson; Zhe Zhang 001; Amir H. Behzadan (Adv. Eng. Informatics, 2022)

Crowdsourced-based Deep Convolutional Networks for Urban Flood Depth Mapping. - Bahareh Alizadeh Kharazi; Amir H. Behzadan (CoRR, 2022)

A reinforcement learning-based routing algorithm for large street networks. - Diya Li; Zhe Zhang 001; Bahareh Alizadeh Kharazi; Ziyi Zhang; Nick Duffield; Michelle A. Meyer; Courtney M. Thompson; Huilin Gao; Amir H. Behzadan (Int. J. Geogr. Inf. Sci., 2024)