Background
Born and raised in Lakki Marwat, Pakistan, I began my educational journey with a fully funded scholarship to study Electrical and Electronic Engineering at the University of Bradford, UK. I then earned a Master’s degree in Mechatronics Engineering from the National University of Sciences and Technology, Pakistan, specializing in Industrial Robotics and Computer Vision. My interdisciplinary projects include personality traits identification using face features, a muscles rehabilitation game prototype, and energy-efficient algorithms for wireless sensor networks. I have extensive industry experience as a Robotics and Computer Vision Engineer, developing applications across various sectors, including automotive, manufacturing, healthcare, the food industry, and smart traffic monitoring systems. I have also demonstrated leadership in robotics competitions, winning three national awards and achieving 8th place in the international Robothon Grands Challenge’22 at the Technical University of Munich, Germany.
Motivation
I am currently pursuing a Ph.D. in the BRIDGITISE Project at the University of Twente, Netherlands, focusing on DC11 – VISUAL: Augmented Reality Enhanced Bridge Condition Assessment. This project aims to revolutionize bridge inspections through innovative use of computer vision and augmented reality. With a strong foundation in computer vision, augmented reality, artificial intelligence, and data analytics, I am driven by the potential of these technologies to improve bridge safety. My doctoral research provides the opportunity to develop new applications that enhance bridge inspections and contribute to societal well-being. By working on this challenging project, I am honing my skills and gaining invaluable research and development experience. My contributions have the potential to shape the future of vision applications and ensure safer bridges for everyone.