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ORCIDOmidreza Shoghli
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2020 – today
- 2025
[i7]Amit Kumar, Arman Hosseini, Arghavan Azarbayjani, Arsalan Heydarian, Omidreza Shoghli:
Adoption of AI-Assisted E-Scooters: The Role of Perceived Trust, Safety, and Demographic Drivers. CoRR abs/2502.05117 (2025)- [i6]Fatemeh Banani Ardecani, Omidreza Shoghli:
Electrodermal Insights into Stress Dynamics of AR-Assisted Safety Warnings in Virtual Roadway Work Zone Environments. CoRR abs/2505.09867 (2025) - [i5]Fatemeh Banani Ardecani, Omidreza Shoghli:
Assessing Workers Neuro-physiological Stress Responses to Augmented Reality Safety Warnings in Immersive Virtual Roadway Work Zones. CoRR abs/2506.03113 (2025) - 2024
- [i4]Sepehr Sabeti, Fatemeh Banani Ardecani, Omidreza Shoghli:
Augmented Reality Warnings in Roadway Work Zones: Evaluating the Effect of Modality on Worker Reaction Times. CoRR abs/2403.15571 (2024) - [i3]Fatemeh Banani Ardecani, Amit Kumar, Sepehr Sabeti, Omidreza Shoghli:
Neural Correlates of Augmented Reality Safety Warnings: EEG Analysis of Situational Awareness and Cognitive Performance in Roadway Work Zones. CoRR abs/2410.13623 (2024) - [i2]Fatemeh Banani Ardecani, Amit Kumar, Omidreza Shoghli:
Assessing the Impact of AR-Assisted Warnings on Roadway Workers' Stress Under Different Workload Conditions. CoRR abs/2410.14537 (2024) - 2022
- [j2]Vinit Katariya
, Mohammadreza Baharani, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi:
DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways. IEEE Trans. Intell. Transp. Syst. 23(10): 18927-18936 (2022) - 2021
- [j1]Sepehr Sabeti, Omidreza Shoghli, Mohammadreza Baharani, Hamed Tabkhi:
Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges. Adv. Eng. Informatics 50: 101429 (2021) - [i1]Mohammadreza Baharani, Vinit Katariya, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi:
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways. CoRR abs/2108.00505 (2021)
2010 – 2019
- 2014
- [b1]Omidreza Shoghli:
A Decison Support System for Multi-Objective Multi-Asset Roadway Asset Management. Virginia Tech, Blacksburg, VA, USA, 2014
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