We are a collaborative academic research group investigating the security, reliability, and resilience of unmanned aircraft systems (UAS).

Our research focuses on controlled fault injection, sensor integrity, reproducible experimentation, and methods for understanding and detecting anomalous behavior in autonomous systems.

We use technologies including PX4, ROS 2, and software-in-the-loop (SITL) simulation, alongside real-world flight experimentation.

• UAS Security: Investigating vulnerabilities and threats affecting unmanned aircraft systems.
• Sensor Fault Injection & Spoofing: Studying how manipulated or faulty sensor measurements influence navigation and control.
• Autonomous System Resilience: Understanding how autonomous systems behave under degraded or adversarial conditions.
• Experimental Testbeds: Developing reproducible simulation and real-flight experiments for systematic evaluation.
• Anomaly & Intrusion Detection: Collecting and analyzing experimental data to support future detection and security research.

Our primary ongoing project is the development of a PX4/ROS 2-based fault-injection testbed for studying the effects of sensor manipulation on unmanned aircraft systems.

The testbed supports controlled experiments in simulated and real-flight environments, with an emphasis on reproducibility, experiment automation, and systematic data collection.

Current research includes visual-inertial odometry (VIO) manipulation, with additional sensor fault-injection scenarios under development.

Our research is conducted collaboratively by PhD and undergraduate researchers under the faculty supervision of Dr. Rasheed.

Day-to-day research development, experiment implementation, and repository maintenance are coordinated by the student research team.

Our active research repositories are currently private while development and experimentation are ongoing.

Experimental datasets, including flight logs and sensor measurements, are maintained separately from GitHub. Decisions regarding public releases of research code, data, and other materials will be made as the research progresses.