Business Intelligence at Telenor Pakistan. - Shazib Ehsan Shaikh; Zahoor Hassan; Bilal Farooq; Abdul R. Shahid (ICIS, 2012)

Distracted pedestrians crossing behaviour: Application of immersive head mounted virtual reality. - Anae Sobhani; Bilal Farooq; Zihui Zhong (ITSC, 2017)

An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service. - Ismaïl Saadi; Melvin Wong; Bilal Farooq; Jacques Teller; Mario Cools (CoRR, 2017)

Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling. - Melvin Wong; Bilal Farooq; Guillaume-Alexandre Bilodeau (CoRR, 2017)

Distributed Classification of Urban Congestion Using VANET. - Ranwa Al Mallah; Alejandro Quintero; Bilal Farooq (IEEE Trans. Intell. Transp. Syst., 2017)

Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic. - Lama Alfaseeh; Shadi Djavadian; Bilal Farooq (ISC2, 2018)

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

A blockchain framework for smart mobility. - David López 003; Bilal Farooq (ISC2, 2018)

Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning. - Melvin Wong; Bilal Farooq (ITSC, 2018)

Virtual Immersive Reality for Stated Preference Travel Behaviour Experiments: A Case Study of Autonomous Vehicles on Urban Roads. - Bilal Farooq; Elisabetta Cherchi; Anae Sobhani (CoRR, 2018)

Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality. - Anae Sobhani; Bilal Farooq (CoRR, 2018)

A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (CoRR, 2018)

An efficient hierarchical model for multi-source information fusion. - Ismaïl Saadi; Bilal Farooq; Ahmed M. Mustafa; Jacques Teller; Mario Cools (Expert Syst. Appl., 2018)

Activity patterns mining in Wi-Fi access point logs. - Guilhem Poucin; Bilal Farooq; Zachary Patterson (Comput. Environ. Urban Syst., 2018)

Multi-objective Eco-routing in a Distributed Routing Framework. - Lama Alfaseeh; Shadi Djavadian; Ran Tu; Bilal Farooq; Marianne Hatzopoulou (ISC2, 2019)

Privacy-Aware Distributed Mobility Choice Modelling over Blockchain. - David López 003; Bilal Farooq (ISC2, 2019)

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

Multi-Objective Autonomous Braking System using Naturalistic Dataset. - Rafael Vasquez; Bilal Farooq (ITSC, 2019)

A combined entropy and utility based generative model for large scale multiple discrete-continuous travel behaviour data. - Melvin Wong; Bilal Farooq (CoRR, 2019)

Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment. - Shadi Djavadian; Bilal Farooq; Rafael Vasquez; Grace Yip (CoRR, 2019)

Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (CoRR, 2019)

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

Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. - Ali Yazdizadeh; Zachary Patterson; 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)

A multi-layered blockchain framework for smart mobility data-markets. - David López 003; Bilal Farooq (CoRR, 2019)

A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility. - Johannes Eckert; David López 003; Carlos Lima Azevedo; Bilal Farooq (CoRR, 2019)

Multimodal Autonomous Last-Mile Delivery System Design and Application. - Farah Samouh; Veronica Gluza; Shadi Djavadian; Seyed Mehdi Meshkani; Bilal Farooq (ISC2, 2020)

Actor-based risk analysis for blockchains in smart mobility. - Ranwa Al Mallah; Bilal Farooq (CryBlock@MOBICOM, 2020)

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

Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning. - Lama Alfaseeh; Ran Tu; Bilal Farooq; Marianne Hatzopoulou (CoRR, 2020)

Multi-Objective Eco-Routing for Dynamic Control of Connected & Automated Vehicles. - Shadi Djavadian; Ran Tu; Bilal Farooq; Marianne Hatzopoulou (CoRR, 2020)

Deep Learning Based Anticipatory Multi-Objective Eco-Routing Strategies for Connected and Automated Vehicles. - Lama Alfaseeh; Bilal Farooq (CoRR, 2020)

Applications of brain imaging methods in driving behaviour research. - Milad Haghani; Michiel C. J. Bliemer; Bilal Farooq; Inhi Kim; Zhibin Li; Cheol Oh; Zahra Shahhoseini; Hamish MacDougall (CoRR, 2020)

Machine Learning Based Demand Modelling for On-Demand Transit Services: A Case Study of Belleville, Ontario. - Nael Alsaleh; Bilal Farooq (CoRR, 2020)

Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada. - Irum Sanaullah; Nael Alsaleh; Shadi Djavadian; Bilal Farooq (CoRR, 2020)

A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems. - Ranwa Al Mallah; Talal Halabi; Bilal Farooq (CoRR, 2020)

Smart Mobility Ontology: Current Trends and Future Directions. - Ali Yazdizadeh; Bilal Farooq (CoRR, 2020)

A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (CoRR, 2020)

Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook. - Lama Alfaseeh; Bilal Farooq (J. Sensors, 2020)

Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles. - Ranwa Al Mallah; Alejandro Quintero; Bilal Farooq (IEEE Trans. Intell. Transp. Syst., 2020)

Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. - Ali Yazdizadeh; Zachary Patterson; Bilal Farooq (IEEE Trans. Intell. Transp. Syst., 2020)

Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. - Ranwa Al Mallah; Godwin Badu-Marfo; Bilal Farooq (IV Workshops, 2021)

On the Initial Behavior Monitoring Issues in Federated Learning. - Ranwa Al Mallah; Godwin Badu-Marfo; Bilal Farooq (IEEE Access, 2021)

Graph-based many-to-one dynamic ride-matching for shared mobility services in congested networks. - Seyed Mehdi Meshkani; Bilal Farooq (CoRR, 2021)

Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation. - Ranwa Al Mallah; David López 003; Bilal Farooq (CoRR, 2021)

Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda. - Amjad Dehman; Bilal Farooq (CoRR, 2021)

Demand for shared mobility to complement public transportation: Human driven and autonomous vehicles. - Shadi Djavadian; Bilal Farooq; Seyed Mehdi Meshkani (CoRR, 2021)

Demand for shared mobility to replace private mobility using connected and automated vehicles. - Seyed Mehdi Meshkani; Shadi Djavadian; Bilal Farooq (CoRR, 2021)

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

A Decentralized Shared CAV System Design and Application. - Seyed Mehdi Meshkani; 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)

Modeling, Relocation, and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a Stochastic Petri Nets Framework. - Taha Benarbia; Kay W. Axhausen; Bilal Farooq (IEEE Trans. Intell. Transp. Syst., 2021)

eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference. - Daniel Opoku Mensah; Godwin Badu-Marfo; Ranwa Al Mallah; Bilal Farooq (ISC2, 2022)

Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure. - Seyed Mehdi Meshkani; Bilal Farooq (ISC2, 2022)

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

Green Vehicle Routing Problem: State of the Art and Future Directions. - Saba Sabet; Bilal Farooq (IEEE Access, 2022)

The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities. - Nael Alsaleh; Bilal Farooq (CoRR, 2022)

Decentralized Matching in Shared Intelligent Vehicles Fleet. - Seyed Mehdi Meshkani; Bilal Farooq (CoRR, 2022)

Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices. - Kimia Kamal; Bilal Farooq (CoRR, 2022)

Robustness Analysis of Deep Learning Models for Population Synthesis. - Daniel Opoku Mensah; Godwin Badu-Marfo; Bilal Farooq (CoRR, 2022)

Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour. - Kimia Kamal; Bilal Farooq (CoRR, 2022)

Auxiliary-LSTM based floor-level occupancy prediction using Wi-Fi access point logs. - Omair Ahmad; Bilal Farooq (J. Smart Cities Soc., 2022)

Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. - Godwin Badu-Marfo; Bilal Farooq; Zachary Patterson (IEEE Trans. Intell. Transp. Syst., 2022)

Prediction of Traffic Flow via Connected Vehicles. - Ranwa Al Mallah; Alejandro Quintero; Bilal Farooq (IEEE Trans. Mob. Comput., 2022)

Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationAl. - Ranwa Al Mallah; David López 003; Godwin Badu-Marfo; Bilal Farooq (IEEE Access, 2023)

Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads. - Elahe Sherafat; Bilal Farooq; Amir Hossein Karbasi; Seyedehsan Seyedabrishami (CoRR, 2023)

Sustainability Analysis Framework for On-Demand Public Transit Systems. - Nael Alsaleh; Bilal Farooq (CoRR, 2023)

Driver Heterogeneity in Willingness to Give Control to Conditional Automation. - Muhammad Sajjad Ansar; Nael Alsaleh; Bilal Farooq (CoRR, 2023)

Exploring sustainable pathways for urban traffic decarbonization: vehicle technologies, management strategies, and driving behaviour. - Saba Sabet; Bilal Farooq (CoRR, 2023)

Centralized and decentralized algorithms for two-to-one matching problem in ridehailing systems. - Seyed Mehdi Meshkani; Bilal Farooq (EURO J. Transp. Logist., 2023)

Resilience-by-design in Adaptive Multi-agent Traffic Control Systems. - Ranwa Al Mallah; Talal Halabi; Bilal Farooq (ACM Trans. Priv. Secur., 2023)

Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems. - Godwin Badu-Marfo; Ranwa Al Mallah; Bilal Farooq (VTC Spring, 2024)

Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas. - Elahe Sherafat; Bilal Farooq (CoRR, 2024)

Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality. - Muhammad Sajjad Ansar; Bilal Farooq (CoRR, 2024)

A deep causal inference model for fully-interpretable travel behaviour analysis. - Kimia Kamal; Bilal Farooq (CoRR, 2024)

Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality. - Mohsen Nazemi; Bara Rababah; Daniel Ramos; Tangxu Zhao; Bilal Farooq (CoRR, 2024)

A Coalition Game for On-demand Multi-modal 3D Automated Delivery System. - Farzan Moosavi; Bilal Farooq (CoRR, 2024)

Quantum Machine Learning in Transportation: A Case Study of Pedestrian Stress Modelling. - Bara Rababa; Bilal Farooq (CoRR, 2025)

Dynamic Campus Origin-Destination Mobility Prediction using Graph Convolutional Neural Network on WiFi Logs. - Godwin Badu-Marfo; Bilal Farooq (CoRR, 2025)

Towards Locally Deployable Fine-Tuned Causal Large Language Models for Mode Choice Behaviour. - Tareq Alsaleh; Bilal Farooq (CoRR, 2025)