1 citations · 1 across the 9 of their papers we have counts for
12 papers
Beyond Legacy L1 C/A: Characterizing Advanced Multi-Frequency Spoofing Against Multi-Frequency GPS Receivers for Autonomous Navigation
Minhaj Uddin Ahmad, Muhammad Sami Irfan, Sagar Dasgupta +2
Autonomous vehicles increasingly rely on high-end multi-frequency GNSS receivers that track modernized civil signals, such as L2C, L5, and L1C, alongside legacy GPS L1~C/A. Althoug…
Small Language Model enabled Autonomous agent for Language-Conditioned Cognitive Radar
Minhaj Uddin Ahmad, Zakia Zaman, Shunqiao Sun +1
Modern radar systems require adapting their processing strategies in response to changing interference, clutter, and data availability. This paper introduces a framework for a smal…
Treating Statewide CORS Networks as Spatially Distributed Sensors for GNSS Integrity Monitoring under Unintentional and Deliberate Threats
Minhaj Uddin Ahmad, Sagar Dasgupta, Muhammad Sami Irfan +3
State departments of transportation (DOTs) in the United States increasingly rely on statewide continuously operating reference station (CORS) networks to support high-precision Gl…
Deployment Feasibility Analysis of Post-Quantum Digital Signatures in Safety-Critical C-V2X Communication for Urban Mobility Scenario
Akid Abrar, Sagar Dasgupta, Abdullah Al Mamun +4
The transition from the classical ECDSA to PQC creates substantially larger authentication payloads for safety-critical C-V2X sidelink communication. This study determines which NI…
Fanar 2.0: Arabic Generative AI Stack
FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad +34
We present Fanar 2.0, the second generation of Qatar's Arabic-centric Generative AI platform. Sovereignty is a first-class design principle: every component, from data pipelines to…
Flow-Based Path Planning for Multiple Homogenous UAVs for Outdoor Formation-Flying
Mahmud Suhaimi Ibrahim, Shantanu Rahman, Muhammad Samin Hasan +2
Collision-free path planning is the most crucial component in multi-UAV formation-flying (MFF). We use unlabeled homogenous quadcopters (UAVs) to demonstrate the use of a flow netw…
Infrastructure Sensor-enabled Vehicle Data Generation using Multi-Sensor Fusion for Proactive Safety Applications at Work Zone
Suhala Rabab Saba, Sakib Khan, Minhaj Uddin Ahmad +5
Infrastructure-based sensing and real-time trajectory generation show promise for improving safety in high-risk roadway segments such as work zones, yet practical deployments are h…
End-to-End Co-Simulation Testbed for Cybersecurity Research and Development in Intelligent Transportation Systems
Minhaj Uddin Ahmad, Akid Abrar, Sagar Dasgupta +1
Intelligent Transportation Systems (ITS) have been widely deployed across major metropolitan regions worldwide to improve roadway safety, optimize traffic flow, and reduce environm…
Historical Prediction Attention Mechanism based Trajectory Forecasting for Proactive Work Zone Safety in a Digital Twin Environment
Minhaj Uddin Ahmad, Mizanur Rahman, Alican Sevim +5
Proactive safety systems aim to mitigate risks by anticipating potential conflicts between vehicles and enabling early intervention to prevent work zone-related crashes. This study…
Lessons Learned from the Real-World Deployment of Multi-Sensor Fusion for Proactive Work Zone Safety Application
Minhaj Uddin Ahmad, Sagar Dasgupta, Mizanur Rahman +7
Proactive safety systems that anticipate and mitigate traffic risks before incidents occur are increasingly recognized as essential for improving work zone safety. Unlike tradition…
OpenCAMS: An Open-Source Connected and Automated Mobility Co-Simulation Platform for Advancing Next-Generation Intelligent Transportation Systems Research
Minhaj Uddin Ahmad, Akid Abrar, Sagar Dasgupta +1
We introduce OpenCAMS (Open-Source Connected and Automated Mobility Co-Simulation Platform), an open-source, synchronized, and extensible co-simulation framework that tightly coupl…
aiXamine: Simplified LLM Safety and Security
Fatih Deniz, Dorde Popovic, Yazan Boshmaf +4
Evaluating Large Language Models (LLMs) for safety and security remains a complex task, often requiring users to navigate a fragmented landscape of ad hoc benchmarks, datasets, met…