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Bilal Farooq
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2020 – today
- 2024
- [c17]Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems. VTC Spring 2024: 1-7 - [i62]Elahe Sherafat, Bilal Farooq:
Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas. CoRR abs/2402.10077 (2024) - [i61]Muhammad Sajjad Ansar, Bilal Farooq:
Decoding Driver Takeover Behaviour in Conditional Automation with Immersive Virtual Reality. CoRR abs/2402.16046 (2024) - [i60]Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
Defense via Behavior Attestation against Attacks in Connected and Automated Vehicles based Federated Learning Systems. CoRR abs/2403.09531 (2024) - [i59]Kimia Kamal, Bilal Farooq:
A deep causal inference model for fully-interpretable travel behaviour analysis. CoRR abs/2405.01708 (2024) - [i58]Mohsen Nazemi, Bara Rababah, Daniel Ramos, Tangxu Zhao, Bilal Farooq:
Decoding Pedestrian Stress on Urban Streets using Electrodermal Activity Monitoring in Virtual Immersive Reality. CoRR abs/2408.11769 (2024) - 2023
- [j15]Ranwa Al Mallah, David López, Godwin Badu-Marfo, Bilal Farooq:
Untargeted Poisoning Attack Detection in Federated Learning via Behavior AttestationAl. IEEE Access 11: 125064-125079 (2023) - [j14]Seyed Mehdi Meshkani, Bilal Farooq:
Centralized and decentralized algorithms for two-to-one matching problem in ridehailing systems. EURO J. Transp. Logist. 12: 100106 (2023) - [j13]Ranwa Al Mallah, Talal Halabi, Bilal Farooq:
Resilience-by-design in Adaptive Multi-agent Traffic Control Systems. ACM Trans. Priv. Secur. 26(3): 40:1-40:27 (2023) - [i57]Elahe Sherafat, Bilal Farooq, Amir Hossein Karbasi, Seyedehsan Seyedabrishami:
Attention-LSTM for Multivariate Traffic State Prediction on Rural Roads. CoRR abs/2301.02731 (2023) - [i56]Nael Alsaleh, Bilal Farooq:
Sustainability Analysis Framework for On-Demand Public Transit Systems. CoRR abs/2303.06007 (2023) - [i55]Muhammad Sajjad Ansar, Nael Alsaleh, Bilal Farooq:
Driver Heterogeneity in Willingness to Give Control to Conditional Automation. CoRR abs/2308.06426 (2023) - [i54]Saba Sabet, Bilal Farooq:
Exploring sustainable pathways for urban traffic decarbonization: vehicle technologies, management strategies, and driving behaviour. CoRR abs/2308.14914 (2023) - 2022
- [j12]Saba Sabet, Bilal Farooq:
Green Vehicle Routing Problem: State of the Art and Future Directions. IEEE Access 10: 101622-101642 (2022) - [j11]Omair Ahmad, Bilal Farooq:
Auxiliary-LSTM based floor-level occupancy prediction using Wi-Fi access point logs. J. Smart Cities Soc. 1(3): 195-211 (2022) - [j10]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. IEEE Trans. Intell. Transp. Syst. 23(10): 17976-17985 (2022) - [j9]Ranwa Al Mallah, Alejandro Quintero, Bilal Farooq:
Prediction of Traffic Flow via Connected Vehicles. IEEE Trans. Mob. Comput. 21(1): 264-277 (2022) - [c16]Daniel Opoku Mensah, Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference. ISC2 2022: 1-7 - [c15]Seyed Mehdi Meshkani, Bilal Farooq:
Distributed Ride-Matching for Shared Ridehailing Service with Intelligent City Infrastructure. ISC2 2022: 1-6 - [c14]Kimia Kamal, Bilal Farooq, Mahwish Mudassar, Arash Kalatian:
Ordered-logit pedestrian stress model for traffic flow with automated vehicles. IV 2022: 1831-1834 - [i53]Nael Alsaleh, Bilal Farooq:
The Impact of COVID-19 Pandemic on Ridesourcing Services Differed Between Small Towns and Large Cities. CoRR abs/2201.10961 (2022) - [i52]Seyed Mehdi Meshkani, Bilal Farooq:
Decentralized Matching in Shared Intelligent Vehicles Fleet. CoRR abs/2202.01121 (2022) - [i51]Kimia Kamal, Bilal Farooq:
Ordinal-ResLogit: Interpretable Deep Residual Neural Networks for Ordered Choices. CoRR abs/2204.09187 (2022) - [i50]Kimia Kamal, Bilal Farooq, Mahwish Mudassar, Arash Kalatian:
Ordered-logit pedestrian stress model for traffic flow with automated vehicles. CoRR abs/2204.11367 (2022) - [i49]Daniel Opoku Mensah, Godwin Badu-Marfo, Ranwa Al Mallah, Bilal Farooq:
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference. CoRR abs/2205.05756 (2022) - [i48]Daniel Opoku Mensah, Godwin Badu-Marfo, Bilal Farooq:
Robustness Analysis of Deep Learning Models for Population Synthesis. CoRR abs/2211.13339 (2022) - [i47]Kimia Kamal, Bilal Farooq:
Debiased machine learning for estimating the causal effect of urban traffic on pedestrian crossing behaviour. CoRR abs/2212.11322 (2022) - 2021
- [j8]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
On the Initial Behavior Monitoring Issues in Federated Learning. IEEE Access 9: 161046-161054 (2021) - [j7]Taha Benarbia, Kay W. Axhausen, Bilal Farooq:
Modeling, Relocation, and Real-Time Inventory Control of One-Way Electric Cars Sharing Systems in a Stochastic Petri Nets Framework. IEEE Trans. Intell. Transp. Syst. 22(5): 2846-2861 (2021) - [c13]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. IV Workshops 2021: 13-18 - [i46]Seyed Mehdi Meshkani, Bilal Farooq:
Graph-based many-to-one dynamic ride-matching for shared mobility services in congested networks. CoRR abs/2101.08657 (2021) - [i45]Ranwa Al Mallah, David López, Bilal Farooq:
Untargeted Poisoning Attack Detection in Federated Learning via Behavior Attestation. CoRR abs/2101.10904 (2021) - [i44]Amjad Dehman, Bilal Farooq:
Are Work Zones and Connected Automated Vehicles Ready for a Harmonious Coexistence? A Scoping Review and Research Agenda. CoRR abs/2102.00087 (2021) - [i43]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems. CoRR abs/2102.13256 (2021) - [i42]Shadi Djavadian, Bilal Farooq, Seyed Mehdi Meshkani:
Demand for shared mobility to complement public transportation: Human driven and autonomous vehicles. CoRR abs/2103.09918 (2021) - [i41]Seyed Mehdi Meshkani, Shadi Djavadian, Bilal Farooq:
Demand for shared mobility to replace private mobility using connected and automated vehicles. CoRR abs/2103.09951 (2021) - [i40]Arash Kalatian, Bilal Farooq:
A context-aware pedestrian trajectory prediction framework for automated vehicles. CoRR abs/2104.08123 (2021) - [i39]Seyed Mehdi Meshkani, Bilal Farooq:
A Decentralized Shared CAV System Design and Application. CoRR abs/2104.10022 (2021) - [i38]Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq:
On the Initial Behavior Monitoring Issues in Federated Learning. CoRR abs/2109.05385 (2021) - [i37]Ali Yazdizadeh, Arash Kalatian, Zachary Patterson, Bilal Farooq:
Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories. CoRR abs/2110.12113 (2021) - [i36]Mahwish Mudassar, Arash Kalatian, Bilal Farooq:
Analysis of pedestrian stress level using GSR sensor in virtual immersive reality. CoRR abs/2111.11492 (2021) - 2020
- [j6]Lama Alfaseeh, Bilal Farooq:
Multi-Factor Taxonomy of Eco-Routing Models and Future Outlook. J. Sensors 2020: 4362493:1-4362493:10 (2020) - [j5]Ranwa Al Mallah, Alejandro Quintero, Bilal Farooq:
Cooperative Evaluation of the Cause of Urban Traffic Congestion via Connected Vehicles. IEEE Trans. Intell. Transp. Syst. 21(1): 59-67 (2020) - [j4]Ali Yazdizadeh, Zachary Patterson, Bilal Farooq:
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. IEEE Trans. Intell. Transp. Syst. 21(6): 2232-2239 (2020) - [c12]Farah Samouh, Veronica Gluza, Shadi Djavadian, Seyed Mehdi Meshkani, Bilal Farooq:
Multimodal Autonomous Last-Mile Delivery System Design and Application. ISC2 2020: 1-7 - [c11]Ranwa Al Mallah, Bilal Farooq:
Actor-based risk analysis for blockchains in smart mobility. CryBlock@MOBICOM 2020: 29-34 - [i35]Arash Kalatian, Bilal Farooq:
Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning. CoRR abs/2002.07325 (2020) - [i34]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Composite Travel Generative Adversarial Networks for Tabular and Sequential Population Synthesis. CoRR abs/2004.06838 (2020) - [i33]Lama Alfaseeh, Ran Tu, Bilal Farooq, Marianne Hatzopoulou:
Greenhouse Gas Emission Prediction on Road Network using Deep Sequence Learning. CoRR abs/2004.08286 (2020) - [i32]Shadi Djavadian, Ran Tu, Bilal Farooq, Marianne Hatzopoulou:
Multi-Objective Eco-Routing for Dynamic Control of Connected & Automated Vehicles. CoRR abs/2005.00815 (2020) - [i31]Lama Alfaseeh, Bilal Farooq:
Deep Learning Based Anticipatory Multi-Objective Eco-Routing Strategies for Connected and Automated Vehicles. CoRR abs/2006.16472 (2020) - [i30]Ranwa Al Mallah, Bilal Farooq, Alejandro Quintero:
Prediction of Traffic Flow via Connected Vehicles. CoRR abs/2007.05460 (2020) - [i29]Ranwa Al Mallah, Bilal Farooq:
Actor-based Risk Analysis for Blockchains in Smart Mobility. CoRR abs/2007.09098 (2020) - [i28]Milad Haghani, Michiel C. J. Bliemer, Bilal Farooq, Inhi Kim, Zhibin Li, Cheol Oh, Zahra Shahhoseini, Hamish MacDougall:
Applications of brain imaging methods in driving behaviour research. CoRR abs/2007.09341 (2020) - [i27]Farah Samouh, Veronica Gluza, Shadi Djavadian, Seyed Mehdi Meshkani, Bilal Farooq:
Multimodal Autonomous Last Mile Delivery System Design and Application. CoRR abs/2009.01960 (2020) - [i26]Nael Alsaleh, Bilal Farooq:
Machine Learning Based Demand Modelling for On-Demand Transit Services: A Case Study of Belleville, Ontario. CoRR abs/2010.15673 (2020) - [i25]Irum Sanaullah, Nael Alsaleh, Shadi Djavadian, Bilal Farooq:
Spatio-Temporal Analysis of On Demand Transit: A Case Study of Belleville, Canada. CoRR abs/2012.02600 (2020) - [i24]Ranwa Al Mallah, Talal Halabi, Bilal Farooq:
A Minimax Game for Resilient-by-design Adaptive Traffic Control Systems. CoRR abs/2012.02675 (2020) - [i23]Ali Yazdizadeh, Bilal Farooq:
Smart Mobility Ontology: Current Trends and Future Directions. CoRR abs/2012.08622 (2020) - [i22]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
A Differentially Private Multi-Output Deep Generative Networks Approach For Activity Diary Synthesis. CoRR abs/2012.14574 (2020)
2010 – 2019
- 2019
- [c10]David López, Bilal Farooq:
Privacy-Aware Distributed Mobility Choice Modelling over Blockchain. ISC2 2019: 187-192 - [c9]Lama Alfaseeh, Shadi Djavadian, Ran Tu, Bilal Farooq, Marianne Hatzopoulou:
Multi-objective Eco-routing in a Distributed Routing Framework. ISC2 2019: 747-752 - [c8]Arash Kalatian, Bilal Farooq:
DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis. ITSC 2019: 2034-2039 - [c7]Rafael Vasquez, Bilal Farooq:
Multi-Objective Autonomous Braking System using Naturalistic Dataset. ITSC 2019: 4348-4353 - [i21]Melvin Wong, Bilal Farooq:
A combined entropy and utility based generative model for large scale multiple discrete-continuous travel behaviour data. CoRR abs/1901.06415 (2019) - [i20]Shadi Djavadian, Bilal Farooq, Rafael Vasquez, Grace Yip:
Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment. CoRR abs/1901.07151 (2019) - [i19]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
Perturbation Privacy for Sensitive Locations in Transit Data Publication: A Case Study of Montreal Trajet Surveys. CoRR abs/1901.07155 (2019) - [i18]Arash Kalatian, Bilal Farooq:
A semi-supervised deep residual network for mode detection in Wi-Fi signals. CoRR abs/1902.06284 (2019) - [i17]Ali Yazdizadeh, Zachary Patterson, Bilal Farooq:
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories. CoRR abs/1902.10768 (2019) - [i16]Arash Kalatian, Anae Sobhani, Bilal Farooq:
Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application. CoRR abs/1903.11812 (2019) - [i15]Rafael Vasquez, Bilal Farooq:
Multi-Objective Autonomous Braking System using Naturalistic Dataset. CoRR abs/1904.07705 (2019) - [i14]Ali Yazdizadeh, Zachary Patterson, Bilal Farooq:
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey. CoRR abs/1904.08933 (2019) - [i13]Arash Kalatian, Bilal Farooq:
DeepSurvival: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis. CoRR abs/1904.11008 (2019) - [i12]Ranwa Al Mallah, Bilal Farooq, Alejandro Quintero:
Distributed Classification of Urban Congestion Using VANET. CoRR abs/1904.12685 (2019) - [i11]David López, Bilal Farooq:
A multi-layered blockchain framework for smart mobility data-markets. CoRR abs/1906.06435 (2019) - [i10]David López, Bilal Farooq:
Privacy-Aware Distributed Mobility Choice Modelling over Blockchain. CoRR abs/1908.03446 (2019) - [i9]Johannes Eckert, David López, Carlos Lima Azevedo, Bilal Farooq:
A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility. CoRR abs/1908.05629 (2019) - 2018
- [j3]Ismaïl Saadi, Bilal Farooq, Ahmed M. Mustafa, Jacques Teller, Mario Cools:
An efficient hierarchical model for multi-source information fusion. Expert Syst. Appl. 110: 352-362 (2018) - [j2]Guilhem Poucin, Bilal Farooq, Zachary Patterson:
Activity patterns mining in Wi-Fi access point logs. Comput. Environ. Urban Syst. 67: 55-67 (2018) - [c6]Lama Alfaseeh, Shadi Djavadian, Bilal Farooq:
Impact of Distributed Routing of Intelligent Vehicles on Urban Traffic. ISC2 2018: 1-7 - [c5]Arash Kalatian, Bilal Farooq:
Mobility Mode Detection Using WiFi Signals. ISC2 2018: 1-7 - [c4]David López, Bilal Farooq:
A blockchain framework for smart mobility. ISC2 2018: 1-7 - [c3]Melvin Wong, Bilal Farooq:
Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning. ITSC 2018: 749-754 - [i8]Bilal Farooq, Elisabetta Cherchi, Anae Sobhani:
Virtual Immersive Reality for Stated Preference Travel Behaviour Experiments: A Case Study of Autonomous Vehicles on Urban Roads. CoRR abs/1802.06180 (2018) - [i7]Anae Sobhani, Bilal Farooq:
Impact of Smartphone Distraction on Pedestrians' Crossing Behaviour: An Application of Head-Mounted Immersive Virtual Reality. CoRR abs/1806.06454 (2018) - [i6]Melvin Wong, Bilal Farooq:
Modelling Latent Travel Behaviour Characteristics with Generative Machine Learning. CoRR abs/1809.05781 (2018) - [i5]David López, Bilal Farooq:
A blockchain framework for smart mobility. CoRR abs/1809.05785 (2018) - [i4]Arash Kalatian, Bilal Farooq:
Mobility Mode Detection Using WiFi Signals. CoRR abs/1809.05788 (2018) - [i3]Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson:
A Perspective on the Challenges and Opportunities for Privacy-Aware Big Transportation Data. CoRR abs/1811.09486 (2018) - 2017
- [j1]Ranwa Al Mallah, Alejandro Quintero, Bilal Farooq:
Distributed Classification of Urban Congestion Using VANET. IEEE Trans. Intell. Transp. Syst. 18(9): 2435-2442 (2017) - [c2]Anae Sobhani, Bilal Farooq, Zihui Zhong:
Distracted pedestrians crossing behaviour: Application of immersive head mounted virtual reality. ITSC 2017: 1-6 - [i2]Ismaïl Saadi, Melvin Wong, Bilal Farooq, Jacques Teller, Mario Cools:
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service. CoRR abs/1703.02433 (2017) - [i1]Melvin Wong, Bilal Farooq, Guillaume-Alexandre Bilodeau:
Discriminative conditional restricted Boltzmann machine for discrete choice and latent variable modelling. CoRR abs/1706.00505 (2017) - 2012
- [c1]Shazib Ehsan Shaikh, Zahoor Hassan, Bilal Farooq, Abdul R. Shahid:
Business Intelligence at Telenor Pakistan. ICIS 2012
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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