Mobility Mode Detection Using WiFi Signals. - Arash Kalatian; Bilal Farooq (ISC2, 2018)

DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis. - Arash Kalatian; Bilal Farooq (ITSC, 2019)

A semi-supervised deep residual network for mode detection in Wi-Fi signals. - Arash Kalatian; Bilal Farooq (CoRR, 2019)

Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application. - Arash Kalatian; Anae Sobhani; Bilal Farooq (CoRR, 2019)

DeepSurvival: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis. - Arash Kalatian; Bilal Farooq (CoRR, 2019)

Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning. - Arash Kalatian; Bilal Farooq (CoRR, 2020)

A context-aware pedestrian trajectory prediction framework for automated vehicles. - Arash Kalatian; Bilal Farooq (CoRR, 2021)

Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories. - Ali Yazdizadeh; Arash Kalatian; Zachary Patterson; Bilal Farooq (CoRR, 2021)

Analysis of pedestrian stress level using GSR sensor in virtual immersive reality. - Mahwish Mudassar; Arash Kalatian; Bilal Farooq (CoRR, 2021)

Ordered-logit pedestrian stress model for traffic flow with automated vehicles. - Kimia Kamal; Bilal Farooq; Mahwish Mudassar; Arash Kalatian (IV, 2022)