Retaj Sayed Elzahdy is a Mechatronics Engineering graduate with a professional focus on robotics, automation, mechatronics, and intelligent engineering systems. She has professional experience in the automotive wiring harness industry, where she worked across both Project Engineering and Training Engineering roles, contributing to engineering projects, technical training, process improvement, and cross-functional coordination.

Her technical interests include robotics, automation, intelligent systems, industrial automation and control, smart manufacturing, and emerging engineering technologies. She has worked on projects including an autonomous Medicine Delivery Robot, Robotic Arm, Banking Chatbot System, Electric Skateboard, and Ball-and-Beam Balancing System, demonstrating her interest in applying mechatronics and automation to practical engineering challenges.

Retaj also brings experience in leadership, technical communication, mentoring, event coordination, and team building through her professional and academic activities. As an Organizing Committee Member, she contributes a multidisciplinary engineering perspective and a strong interest in supporting professional collaboration, knowledge exchange, and the development of innovative technologies.

Her research and professional interests focus on robotics and automation, mechatronics and intelligent systems, autonomous robotic technologies, industrial automation and control systems, artificial intelligence and machine learning applications, smart manufacturing and Industry 4.0, embedded systems, biomedical robotics, and innovative engineering solutions.

Her research interests focus on robotics and automation, mechatronics and intelligent systems, autonomous robotic technologies, industrial automation and control systems, artificial intelligence and machine learning applications, smart manufacturing and Industry 4.0, biomedical robotics and healthcare technologies, embedded systems, and innovative engineering solutions. She is particularly interested in developing practical, intelligent, and automated systems that improve efficiency and address real-world engineering and healthcare challenges.