معرفی
Mohamed Atia is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University's Faculty of Engineering and Design. He conducts research in sensor fusion for autonomous systems, including robotics, autonomous vehicles, and the Internet of Things, with an emphasis on real-time embedded implementation.
- PhD, Electrical and Computer Engineering, Queen’s University (2013)
- M.Sc., Computer Systems, Ain Shams University (2006)
- B.S., Computer Systems, Ain Shams University (2000)
His research focuses on sensor fusion, integrating data from heterogeneous sensors such as GNSS, IMU, Vision, Radar, and LiDAR under real-time constraints on embedded platforms like FPGAs and microcontrollers. He applies advanced signal processing, estimation theory, machine learning, and AI to solve challenges in state estimation, observability, fault tolerance, and concurrency management.
Dr. Atia’s work has applications in intelligent vehicles, indoor navigation, mobile robotics, smart buildings, medical devices, and remote sensing. He leads a research lab focused on embedded multi-sensor systems, where students develop practical solutions for autonomous navigation and SLAM.
His teaching emphasizes hands-on learning through labs and projects. He teaches undergraduate courses in computer systems, embedded systems, and signal processing, and a graduate course (SYSC 5807) on Advanced Topics in Computer Systems, specifically Sensor Fusion Systems.
Scientific Awards:
- Alberta Innovate Association Award (2011)
- IEEE Excellence in PhD Research (2013)
- Mitacs Elevate Industrial Postdoc Award (2014)
- NSERC PDF Award (2015)
- Queen’s University Teaching Award (2016)
Dr. Atia has advised graduate students such as Hamza Sadruddin and Alan Zhang, who have presented at IEEE Sensors and ION GNSS+ conferences, with Zhang winning Best Presentation. He has no listed grants in the provided text but has received prestigious fellowships. His research lab supports innovation in real-time embedded sensor fusion with links to industry and open-source tools.
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