22 citations · 70 across the 13 of their papers we have counts for
13 papers
Quantum Computing Supported Adversarial Attack-Resilient Autonomous Vehicle Perception Module for Traffic Sign Classification
Reek Majumder, Mashrur Chowdhury, Sakib Mahmud Khan +6
Deep learning (DL)-based image classification models are essential for autonomous vehicle (AV) perception modules since incorrect categorization might have severe repercussions. Ad…
Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection
Mhafuzul Islam, Mashrur Chowdhury, Zadid Khan +1
A classical computer works with ones and zeros, whereas a quantum computer uses ones, zeros, and superpositions of ones and zeros, which enables quantum computers to perform a vast…
Hybrid Quantum-Classical Neural Network for Incident Detection
Zadid Khan, Sakib Mahmud Khan, Jean Michel Tine +7
The efficiency and reliability of real-time incident detection models directly impact the affected corridors' traffic safety and operational conditions. The recent emergence of clo…
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack
Reek Majumder, Sakib Mahmud Khan, Fahim Ahmed +6
Image classification must work for autonomous vehicles (AV) operating on public roads, and actions performed based on image misclassification can have serious consequences. Traffic…
Security of Connected and Automated Vehicles
Mashrur Chowdhury, Mhafuzul Islam, Zadid Khan
The transportation system is rapidly evolving with new connected and automated vehicle (CAV) technologies that integrate CAVs with other vehicles and roadside infrastructure in a c…
An Evaluation Framework of End-to-End 5G Millimeter Wave Communication for Connected Vehicle Applications
Zadid Khan, Sakib Mahmud Khan, Mashrur Chowdhury +2
The internet-of-things (IoT) environment connects different intelligent devices together and enables seamless data communication between the connected devices. Connected vehicles (…
Grey Models for Short-Term Queue Length Predictions for Adaptive Traffic Signal Control
Gurcan Comert, Zadid Khan, Mizanur Rahman +1
Traffic congestion at a signalized intersection greatly reduces the travel time reliability in urban areas. Adaptive signal control system (ASCS) is the most advanced traffic signa…
Development and evaluation of an open-source, machine learning-based average annual daily traffic estimation software
Zadid Khan, Sakib Mahmud Khan, Ph. D. +3
Traditionally, Departments of Transportation (DOTs) use the factor-based model to estimate Annual Average Daily Traffic (AADT) from short-term traffic counts. The expansion factors…
Long Short-Term Memory Neural Networks for False Information Attack Detection in Software-Defined In-Vehicle Network
Zadid Khan, Mashrur Chowdhury, Mhafuzul Islam +2
A modern vehicle contains many electronic control units (ECUs), which communicate with each other through the in-vehicle network to ensure vehicle safety and performance. Emerging…
Centralities for Networks with Consumable Resources
Hayato Ushijima-Mwesigwa, Zadid Khan, Mashrur A. Chowdhury +1
Identification of influential nodes is an important step in understanding and controlling the dynamics of information, traffic and spreading processes in networks. As a result, a n…
Lessons Learned from the Real-world Deployment of a Connected Vehicle Testbed
Mashrur Chowdhury, Mizanur Rahman, Anjan Rayamajhi +4
The connected vehicle (CV) system promises unprecedented safety, mobility, environmental, economic and social benefits, which can be unlocked using the enormous amount of data shar…
Development of Statewide AADT Estimation Model from Short-Term Counts: A Comparative Study for South Carolina
Sakib Mahmud Khan, Sababa Islam, MD Zadid Khan +3
Annual Average Daily Traffic (AADT) is an important parameter used in traffic engineering analysis. Departments of Transportation (DOTs) continually collect traffic count using bot…
Optimal Installation for Electric Vehicle Wireless Charging Lanes
Hayato Ushijima-Mwesigwa, MD Zadid Khan, Mashrur A Chowdhury +1
Range anxiety, the persistent worry about not having enough battery power to complete a trip, remains one of the major obstacles to widespread electric-vehicle adoption. As cities…