Personal information
Biography
I obtained my PhD degree in 2021 at University of Amsterdam under the supervision of Prof. Theo Gevers. My doctoral study was fully funded by the EUHorizon2020 program within the Trimbot2020 project - the first ever autonomous gardening robot. My main research topic was intrinsic image decomposition, and my doctoral thesis is titled Physics-aware Learning of Intrinsic Images.
During my PhD, I also conducted research on semantic segmentation, object detection and recognition, instance segmentation, surface normal estimation, illumination estimation, optical flow, edge detection, and also traditional image processing, model-based machine learning, deep learning, and generative adversarial networks.
I received my Master's Degree in Data Engineering with distinction from Tampere University of Technology, Finland in 2016. I performed my thesis "Camera Sensor Invariant Auto White Balance Algorithm Weighting" under the supervison of Prof. Moncef Gabbouj and Dr. Jarno Nikkanen, in collaboration with Intel. During my studies, I also carried out an internship at Microsoft Finland, where I worked on image sharpness optimization and auto white balance problems.
My research interests include computer vision and pattern recognition, especially physics-based representations, invariant descriptors, general scene understanding, color image processing, and deep learning.