URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision. - Mohamed R. Ibrahim; James Haworth; Tao Cheng 004 (CoRR, 2018)

WeatherNet: Recognising Weather and Visual Conditions from Street-Level Images Using Deep Residual Learning. - Mohamed R. Ibrahim; James Haworth; Tao Cheng 004 (ISPRS Int. J. Geo Inf., 2019)

predictSLUMS: A new model for identifying and predicting informal settlements and slums in cities from street intersections using machine learning. - Mohamed R. Ibrahim; Helena Titheridge; Tao Cheng 004; James Haworth (Comput. Environ. Urban Syst., 2019)

Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London. - Nilufer Sari Aslam; Di Zhu 004; Tao Cheng 004; Mohamed R. Ibrahim; Yang Zhang 039 (Ann. GIS, 2021)

CyclingNet: Detecting cycling near misses from video streams in complex urban scenes with deep learning. - Mohamed R. Ibrahim; James Haworth; Nicola Christie; Tao Cheng 004 (CoRR, 2021)

Re-designing cities with conditional adversarial networks. - Mohamed R. Ibrahim; James Haworth; Nicola Christie (CoRR, 2021)

ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs. - Nilufer Sari Aslam; Mohamed R. Ibrahim; Tao Cheng 004; Huanfa Chen; Yang Zhang 039 (Geo spatial Inf. Sci., 2021)

ImageSig: A signature transform for ultra-lightweight image recognition. - Mohamed R. Ibrahim; Terry J. Lyons (CVPR Workshops, 2022)

FaceTouch: Detecting hand-to-face touch with supervised contrastive learning to assist in tracing infectious disease. - Mohamed R. Ibrahim; Terry J. Lyons (CoRR, 2023)

Generating floorplans for various building functionalities via latent diffusion model. - Mohamed R. Ibrahim; Josef Musil; Irene Gallou (CoRR, 2024)

Transforming CCTV cameras into N2 sensors at city scale for adaptive policymaking. - Mohamed R. Ibrahim; Terry J. Lyons (CoRR, 2025)

TopView: vectorising road users in a bird's eye view from uncalibrated street-level imagery with deep learning. - Mohamed R. Ibrahim (Neural Comput. Appl., 2025)