Mawj Mohammed Basheer

Papers

Total Citations

H-Index

About

Mawj Mohammed Basheer is a researcher at the forefront of robotics and digital forensics, whose work bridges the critical intersection of autonomous systems and cybersecurity. Her key research areas encompass robot operating system (ROS) forensics, mobile robot localization, and the security implications of Industry 4.0 technologies. Basheer’s most impactful contribution, “An Overview of Robot Operating System Forensics” (2019, 18 citations), stands as a pioneering study that systematically examines the forensic challenges posed by the rapid proliferation of autonomous technologies. This work provides essential frameworks for investigating cyber incidents involving robotic systems, addressing a growing need as robots increasingly replace manual intervention across industries. In her more recent work, “Mobile Robot Indoor Localization Using Color-Coded Beacons and a Depth Camera” (2022, 3 citations), she demonstrates practical innovation by developing a novel trilateration-based localization method using artificial passive beacons, offering cost-effective solutions for indoor navigation. Basheer’s research is particularly notable for its forward-looking approach, anticipating the forensic and security demands of an automated future. Her contributions are vital for students and researchers exploring the convergence of robotics, artificial intelligence, and digital investigation, establishing her as a thoughtful voice in shaping how we secure and understand autonomous systems.