dr inż. Jakub Suder / Ph.D., Eng. Jakub Suder

His research and engineering work focuses on the development of vision-based inspection systems for airport infrastructure, including Airfield Ground Lighting (AGL) inspection, chromaticity analysis of navigation lighting, Foreign Object Debris (FOD) detection, airport surface and horizontal marking assessment, and real-time video analysis on resource-constrained embedded platforms. He has designed and implemented AI and computer vision solutions using platforms such as Raspberry Pi, Google Coral, NVIDIA Jetson and CUDA-enabled edge devices, with particular emphasis on energy efficiency, real-time operation and practical deployment in operational environments.

At Poznan University of Technology, he has participated in international and national research and implementation projects, including SMART4ALL, funded under the Horizon 2020 programme, and Inkubator Innowacyjności 4.0. Within these projects, he worked on data analysis from measurement platforms for testing airport lamps, vision-based monitoring systems, cloud services, databases and embedded AI solutions. He is also a co-author of a patent application concerning a method and measurement set for testing the quality of operation of in-pavement airport lamps.

Beyond academia, he has gained experience in international AI, IT and technology-driven business environments. Since 2026, he has served as Head of AI & Vision Systems / Tech Lead at EYVI, where he leads the development of a privacy-first visitor analytics platform for trade fairs, combining edge cameras, computer vision, backend data aggregation and web dashboards. His work includes designing AI pipelines for people counting, movement analysis, heatmaps, anonymous revisit estimation, backend APIs, data models, reporting systems, CI/CD processes and production-ready system architecture.

He has also worked as a Senior AI Developer and Senior Edge AI Vision Architect in international projects involving embedded AI, custom AI hardware, computer vision, sensor fusion, Android-based real-time vision applications, cloud-connected edge systems and scalable machine learning pipelines. His professional activity combines scientific research with product-oriented AI system engineering, bridging advanced perception algorithms, embedded hardware, software architecture, privacy-by-design principles and business-oriented implementation of AI solutions.

Jakub Suder cooperated with Poznań Airport on the calibration, testing and implementation of systems for assessing the quality of airport navigation lighting. He also contributed to the BIZON autonomous vehicle project carried out with the Air Force Institute of Technology, developing a multimodal obstacle detection and avoidance module based on LIDAR, radar and stereovision data. He is the founder and former chair of the IEEE Poznan University of Technology Student Branch and has been actively involved in the IEEE Poland Section as Student Representative.