Gabrielle Flood

I am a postdoctoral researcher in the Visual Recognition Group at Czech Technical University in Prague, under the supervision on Zuzana Kúkelová. Prior to this, I did a postdoc in the Computer Vision and Machine Learning Group, at the Centre for Mathematical Sciences, Lund University, where I also defended my Ph.D. in computer vision and applied mathematics in 2021, supervised by Kalle Åström. The topic of my thesis was Mapping and Merging Using Sound and Vision: Automatic Calibration and Map Fusion with Statistical Deformations. Prior to this, I received a M.Sc. in applied mathematics in 2016, also from the Faculty of Engineering (LTH) at Lund University.

My research interests concern image analysis in general and geometric problems in computer vision in particular. My research has been focusing on medical image analysis and on positioning and robust estimation of 3D reconstructions from different sensor modalities - such as images and audio - and efficient merging of such reconstructions.