activity
20182026
most citedHybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack

15 citations · 44 across the 41 of their papers we have counts for

collaborators

44 papers

cs.HC2026

Human Driver Temperament and the Safety Impact of a C-V2X Denial-of-Service Flooding Attack in Mixed-Autonomy Traffic

Rasheed Bello, Gurcan Comert, Varghese Vaidyan +3

Cooperative and connected automated vehicles (CAVs) rely on Signal Phase and Timing (SPaT) messages to cross signalized intersections; a denial-of-service (DoS) flood that blocks S…

cs.CR2026

Weather Data Spoofing Attacks on Rain-Adaptive Millimeter-Wave Frequency Selection in V2X Communication Networks

Rasheed Bello, Idreez Yusuf, Justice Adjei Owusu +7

Connected vehicles use millimeter-wave (mmWave) sidelinks for the data rates cooperative driving demands, and emerging designs select the carrier band from sensed rainfall. We show…

cs.NI2026

NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment

Rasheed Bello, Arthur Mukwaya, Gurcan Comert +5

Connected-vehicle safety evaluations rely on coupled traffic and network simulations, but standard channel models ignore radio resource competition in 5G NR sidelink Mode-2, report…

stat.AP2025

Mode Choice Heterogeneity Among Zero-Vehicle Households: A Latent Class Cluster Approach

Nancy Kasamala, Arthur Mukwaya, Nana Kankam Gyimah +4

In transportation planning, Zero-Vehicle Households (ZVHs) are often treated as a uniform group with limited mobility options and assumed to rely heavily on walking or public trans…

cs.LG2025

A Prescriptive Framework for Determining Optimal Days for Short-Term Traffic Counts

Arthur Mukwaya, Nancy Kasamala, Nana Kankam Gyimah +5

The Federal Highway Administration (FHWA) mandates that state Departments of Transportation (DOTs) collect reliable Annual Average Daily Traffic (AADT) data. However, many U.S. DOT…

cs.CV2025

SuperiorGAT: Graph Attention Networks for Sparse LiDAR Point Cloud Reconstruction in Autonomous Systems

Khalfalla Awedat, Mohamed Abidalrekab, Gurcan Comert +1

LiDAR-based perception in autonomous systems is constrained by fixed vertical beam resolution and further compromised by beam dropout resulting from environmental occlusions. This…