Furkan Çitil

I am currently a Master of Science (M.Sc.) student in Communications and Electronics Engineering at the Technical University of Munich (TUM), previously a Systems Engineer at ASELSAN and a graduate of Electrical and Electronics Engineering from Middle East Technical University (METU). My expertise lies at the intersection of robotics, computer vision, and machine learning, with a strong focus on intelligent sensing and algorithm development.

Most recently at ASELSAN, I developed algorithms for EO/IR and UV systems, focusing on camera calibration, object detection and tracking, multi-camera integration, and real-time classification as a Systems Engineer. During my undergraduate studies, I worked part-time as a Computer Vision and Machine Learning Engineer at Databoss Security & Analytics, where I conducted research on state-of-the-art blind super-resolution algorithms and developed solutions for remote sensing applications. In parallel, as an undergraduate researcher at METU Center for Image Analysis (OGAM), I focused on event-based vision—specifically, fusing event-based cameras with depth sensors to enhance visual navigation and 6D pose tracking.

Also, I have built a diverse portfolio of hands-on experience through internships at leading technology companies. At Micropsi Industries in Berlin, I contributed to the software integration of Fanuc robots into the MIRAI system, working with both infrastructure and robotics teams to implement algorithms for new feature releases in industrial robotics. At Kuartis Technology and Consulting, I developed a camera calibration pipeline for MWIR cameras and created high-speed computer vision algorithms optimized for FPGA deployment, gaining expertise in convex optimization and numerical methods. At SensHero Predictive Maintenance Solutions, I worked on condition monitoring and predictive maintenance for electric transmission lines, developing data-driven models for fault detection and remaining useful life estimation. These experiences have enabled me to apply and expand my skills in robotics, computer vision, and machine learning across a range of real-world industrial applications.

Throughout my academic journey, I have actively participated in national and international competitions, earning several awards in UAV, robotics, and image processing challenges. I have also contributed to interdisciplinary projects such as the AdımODTU Undergraduate Research Grant Program (autonomous dogfighter UAV), the DTS2020 course at METU Design Factory, and the Google Solution Challenge. As an active member and mentor in the IEEE METU Robotics and Automation Society, I have supported both technical development and community engagement.

I am passionate about advancing the fields of robotics, computer vision, and machine learning, and I am eager to contribute to innovative solutions at the intersection of these domains.