Volodymyr Voitenko

Volodymyr Voitenko is a researcher in the Department of Automatic Control at the Faculty of Engineering, Lund University, Sweden, where he joined in June 2022. His work is focused on control systems, UAV technology, and real-time image analysis. He is currently leading a project funded by The Crafoord Foundation, co-financed by Scholars at Risk Sweden, on a subsystem for two-coordinate positioning of UAV auxiliary cameras (2DCAM), continuing prior work under a KAW grant.

His research interests lie at the intersection of control engineering, robotics, and digital image processing. He has extensive experience in microprocessor-based control systems, having developed and taught courses such as Microcontrollers, Digital Image Processing, and Software for Robotic Systems at Chernihiv Polytechnic National University. His expertise includes pattern recognition, real-time embedded systems, and automation technologies.

The available publications indicate a strong focus on accelerating image analysis from UAVs, reflecting trends in autonomous systems, real-time computing, and embedded vision. His work emphasizes practical implementations in robotics and control, particularly for improving processing speed and system responsiveness.

Scientific awards:

Dr. Voitenko has been involved in externally funded research projects, including grants from The Crafoord Foundation and the Knut and Alice Wallenberg Foundation. He has also received support through Scholars at Risk Sweden, which co-finances his current project. While no formal advising roles are listed, his prior role as a course developer and tutor indicates experience in academic supervision and student mentorship.

He is affiliated with the Department of Automatic Control at Lund University, a leading research environment in systems, control, and robotics. His work aligns with broader initiatives in autonomous systems and real-time computing at the university.