Karol Majek holds a Ph.D. in Automation and Robotics. Since 2011 he has successfully participated in several mobile robotics competitions including DARPA VRC, ELROB, Eurathlon, Udacity Challenge, Self-Racing Cars, F1/10. From 2013 to 2015 he was involved in the Institute of Mathematical Machines in robotic research projects funded by the EU. In 2016-2017 he was a mentor in the Self-Driving Car Nanodegree by Udacity. In 2018 he received a research grant in the TensorFlow Research Cloud program and in 2019 he defended Ph.D. thesis at Poznań University of Technology: "Automatic selection of deep neural network parameters in mobile robotics". From 2018 to 2020 he was working on accelerating perception of inspection robots using deep neural networks for object detection at Research and Academic Computer Network - National Research Institute (NASK PIB). He is focused on solving vision problems with deep neural networks. His research interests are: object detection, semantic segmentation, panoptic segmentation, deep neural network inference on low power devices.