Samir Rawashdeh

Samir Rawashdeh is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. He directs research in robotics, computer vision, and autonomous systems through his DAIR Lab. His educational background includes a Ph.D. and M.Sc. in Electrical Engineering from the University of Kentucky, and a B.Sc. from the University of Jordan.

Research Focus: Dr. Rawashdeh leads projects in autonomous navigation, humanoid robotics, and sensor systems. His lab develops computer vision algorithms for visual odometry, object tracking, and event-based perception. Current projects include autonomous snowplows, humanoid manipulation systems, and unmanned aerial vehicles, with applications in transportation, space systems, and healthcare.

Publications: His research spans computer vision, robotics, and aerospace systems, with recent work focusing on high-temporal-resolution tracking using hybrid vision sensors and lightweight odometry algorithms for mobile robots. His publications demonstrate consistent themes of real-time processing, sensor fusion, and practical implementation in autonomous systems.

Awards and Recognition:

• Advised student teams to win top positions in AUVSI IGVC and ION Snowplow competitions
• Honorable Mention in Frank J. Redd Student Scholarship (2011, 2012)
• First Place in Kentucky Academy of Sciences Graduate Research Competition (2008)
• IEEE Computer Society Design Competition Honorable Mention (2006)

Research Infrastructure: Manages robotics facilities including a full-size humanoid robot, autonomous vehicle platforms, and sensor systems. Develops open-source tools like the Lightweight Visual Tracking (LVT) package and maintains public datasets for event-based vehicle detection.