Summary
Mohamed Atia is an associate professor and researcher with eight years of academic experience specializing in sensor fusion for autonomous systems, intelligent transportation, emergency response, and AR/VR applications. He combines rigorous research—spanning multi-sensor navigation, integrity monitoring, and fault-tolerant estimation—with practical deployment on embedded, robotic, and mobile platforms. As an educator at Carleton University he teaches real-time embedded systems, signal processing, estimation, and machine learning, championing a “learning by doing” approach through hands-on projects and labs. His background includes industry-facing R&D and leadership roles that translated academic algorithms into production software for navigation and telematics. Notably, his PhD work produced a strong record of publications and patent filings focused on WiFi-inertial integrated navigation for challenging indoor environments. Based in Ottawa, he bridges multidisciplinary research and applied engineering to advance reliable location and sensing solutions.
8 years of coding experience
10 years of employment as a software developer
Ain Shams University
Doctor of Philosophy (PhD), Computer Engineering, Doctor of Philosophy (PhD), Computer Engineering at Queen's University