Teaching Assistant
CurrentMicroprocessor interfacing and Embedded systems course: Assisted with Nios II architecture, Assembly, and C programming in-lab tasks.
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Mohamed Elsayed is listed as Research Assistant, Automotive Navigation Systems || Embedded systems Engineer at Queen's University, based in Kingston, Ontario, Canada. AeroLeads shows a matched LinkedIn profile for Mohamed Elsayed.
Mohamed Elsayed previously worked as Teaching Assistant at Queen'S University and Research Assistant at Navinst Research Laboratory. Mohamed Elsayed holds Master Of Science - Ms, Electrical And Computer Engineering, 4.2/4.3 from Queen'S University.
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Embedded Systems Engineer with a strong foundation in automotive sensor fusion, LiDAR-based navigation, and real-time embedded development. Skilled in C/C++, Python, and the ROS framework, I have a solid grasp of embedded systems concepts, microcontroller architecture, and on-board communication protocols like SPI, I2C, and UART. My expertise includes ARM Cortex-M, RTOS, and the design of reliable, efficient embedded solutions.Currently pursuing a Master’s in Electrical and Computer Engineering, I’m advancing my knowledge of LiDAR-based odometry and map registration for autonomous navigation. I’m also experienced in layered software design, PCB development, and embedded system debugging. Passionate about driving innovation in navigation and robotic applications.
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Kingston, Ontario, Canada
Microprocessor interfacing and Embedded systems course: Assisted with Nios II architecture, Assembly, and C programming in-lab tasks.
Canada
As a research assistant at the NavINST Lab, I apply and research state-of-the-art algorithms in sensor fusion for advanced navigation systems, with a special focus on LiDAR-based technologies. My work spans key areas like map registration and LiDAR odometry, aimed at enhancing the accuracy and reliability of navigation. Through this role, I’ve worked extensively with both solid-state and mechanical LiDARs, contributing to the development of cutting-edge solutions for localization and mapping in autonomous systems.
Kingston, Ontario, Canada
Mechatronics and robotics design course: Assisted with developing raspberry-bi-based applications with ROS framework and multi-sensor platforms.
Egypt
Practiced MCU fundamentals, including CPU architecture, startup code, linker scripts, compilation processes, and interrupt handling.- Engaged with various debugging tools and explored bootloader development, code generators, AUTOSAR OS/Layers, and Embedded Linux.- Completed certification by passing a rigorous assessment of embedded systems knowledge.
-ARM CORTEX-M interfacing -Real-Time operating systems(RTOS) -Embedded Software Design -Safe Coding with MISRA -Foundations of Agile
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Mohamed Elsayed works for Queen's University.
Mohamed Elsayed is listed as Research Assistant, Automotive Navigation Systems || Embedded systems Engineer at Queen's University.
Mohamed Elsayed is based in Kingston, Ontario, Canada while working with Queen's University.
Mohamed Elsayed has worked for Queen'S University, Navinst Research Laboratory, and Siemens Digital Industries Software.
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Mohamed Elsayed holds Master Of Science - Ms, Electrical And Computer Engineering, 4.2/4.3 from Queen'S University.
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