Work Experience

Developed TeleopWM, a predictive world model for latency-resilient vision-based teleoperation through future-state and action prediction.

Built LAVT, a ROS2-based teleoperation testbed integrating CARLA, closed-loop control, and network latency injection for autonomous driving research.

Developed end-to-end vision-based driving models for lane-keeping and lateral control in autonomous driving applications.

Investigated perception-to-control latency and developed predictive compensation approaches for maintaining trajectory stability under delayed perception conditions.

Conducted simulation-based validation and behavioral analysis across varying environmental and latency scenarios, identifying failure modes in closed-loop autonomous driving systems.

Applied latent-state modeling and predictive control techniques to improve robustness under uncertainty and network latency.

Conducted research at the BME Automated Drive Lab within the Department of Automotive Technologies, contributing to Cooperative Perception Services for Intelligent Transportation Systems (ITS) as a member of the Perception Team. The primary focus was on sensor calibration and sensor fusion for autonomous driving technologies.

• Sensor calibration: Used RTMaps software and Python for data acquisition, processing, and calibration, with an emphasis on camera and camera-LiDAR systems. The real-time calibration process in RTMaps reduced calibration time by a factor of ten.

• Sensor fusion: Developed and assessed sensor fusion architectures using MATLAB, Simulink, and the MathWorks Driving Scenario App Designer. Integrated multi-sensor data from cameras and LiDAR using the Sensor Fusion Toolbox, facilitating information sharing between autonomous vehicles and infrastructure within an ITS framework.

Skills Used: Python, RTMaps, Matlab.

Served as a Workshop Controller Assistant at Mahmoudia Motors, the exclusive agent for Jaguar Land Rover in Jordan, within the Maintenance Department. Responsibilities included:

• Managed workshop operations, ensuring technicians adhered to quality standards and met deadlines for service and repair tasks.

• Coordinated with service advisors to ensure clear communication with customers regarding vehicle status and service timelines.

• Maintained and updated the tracking system to monitor the progress of vehicles throughout the repair process.

Acquired hands-on experience in electrical diagnosis and post-repair vehicle testing, enhancing technical knowledge of automotive systems.