Malik M. A. Al-Isawi
I’m Malik M. A.
About
I’m Malik M. A. Al-Isawi, a PhD-level Mechatronics Engineer with over a decade of hands-on experience in embedded systems, sensor fusion (GPS/IMU/INS), and autonomous guidance, navigation, and control for aerial and space platforms. I specialize in end-to-end analysis, simulation, design, and deployment of autonomous computer vision and GNC systems, with practical expertise in C++, Python, ROS, and MATLAB. I enjoy building robust, real-time systems that balance performance with reliability and cost.
Over the years, I have led sensor fusion projects (EKF/UKF), designed real-time embedded control, and built machine vision solutions using OpenCV. I thrive in collaborative environments and am committed to advancing autonomy while keeping hardware simple and affordable.
- 8 years' experience
- Joined February 2026
Industry experience
- Manufacturing
- Software & Internet
- Transportation & Logistics
- Media & Entertainment
- Other
Work experience· 4 roles
Developed sensor fusion algorithms (EKF/UKF) for UAV navigation, integrating GPS, IMU, and vision systems to improve positional accuracy. Designed real-time embedded control systems in C++ for autonomous robots, optimizing sensor data throughput via SPI/I2C. Implemented machine vision for object detection and path planning in dynamic environments. Designed, simulated, and implemented autonomous Guidance, Navigation, and Control (GNC) systems for UAVs and space vehicles, focusing on real-time performance and robustness using ROS.
Design and development of mobile robots, manipulators (Gantry, SCARA, FANUC, KUKA) and UAVs that integrate GPS, INS, IMU, and cameras to enhance accuracy and performance. Applied Kalman Filters and ML for sensor fusion, ensured real-time processing for dynamic and reliable system behavior across applications. Led embedded firmware development for UAVs, fusing IMU + GPS + Lidar to stabilize flight dynamics under noisy conditions. Built a visual-inertial odometer (VIO) using stereo cameras and IMUs, reducing drift via UKF-based fusion. CAD modeling and simulation activities supported by cross-functional collaboration.
Focused on the design, development, and deployment of robotic systems and AI technologies for commercial and industrial sectors. Provided interactive and humanoid robots for customer engagement and smart services, including robotic arms, autonomous ground vehicles (AGVs), and cleaning/disinfection robots. Led reliability-focused engineering initiatives and integrated AI-driven solutions for automation.
Education
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