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Applied research in autonomous navigation, computer vision, sensor fusion,
algorithms and applied mathematics.
Designed and implemented innovative features for an autonomous painter robot: planning, control, perception, and sensor fusion.
Conducted applied research in autonomous navigation, computer vision, sensor fusion, algorithms, and applied mathematics
Designed and implemented innovative features for an autonomous painter robot: planning, control, perception, and sensor fusion
Collaborated with multi-disciplinary teams to design experiments, collect data, and interpret results
Researched industry trends and emerging technologies that could benefit the organization
Optimized hardware setup to prevent collision with unmodeled elements of the robot, enhancing functionality
Analyzed dynamics and kinematics of mobile manipulator robot to ensure smooth movement
Incorporated sensors and perception technologies including RBG-D, IMU and 2D/3D Lidars
Successfully trained Artificial Intelligence models to achieve high precision in computer vision tasks such as detecting, segmenting, and estimating real-time 3D poses of targets
Managed small team of robotics engineers to develop an autonomous intelligent robot charger for electric vehicles, completing projects within specified deadlines
Developed novel fault detection algorithms using Applied Mathematics, Data Statistics, and Artificial Intelligence
Established a strong reputation in the field by contributing to prestigious publications including Neurocomputing journal, conferences and book chapters
Supervised interns and conducted research in robotics and human-robot interaction field
Created course structures, facilitated learning, and evaluated students' progress through examinations
Designed engaging laboratory content for programming, C++, POO, data structures, linux, automatics, and robotics
Contributed to the development of new algorithmic courses and exams through collaboration with faculty colleagues
Developed strategies to enhance system cybersecurity by implementing fault diagnosis methods for controller protection
Developed strong professional connections with leading researchers at the University of Lille
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
