Julia Dietlmeier received her Dipl.-Ing.(FH) degree in Electrical Engineering with the specialization in Wireless Communication from Munich University of Applied Sciences, Munich, Germany.
She completed her Master of Science degree in Electrical and Computer Engineering from Portland State University, Portland, Oregon, USA where she was also working as a Teaching and a Research Assistant.
From 1999 to 2001 she was employed as a R&D Engineer within Siemens Mobile Radio Division, Ulm, Germany where she was involved in the pilot UMTS base station project.
Julia Dietlmeier completed her PhD degree in Electronic Engineering with the specialization in Computer Vision and Machine Learning from Dublin City University, Dublin, Ireland in 2017.
Her PhD thesis “A Machine Learning Approach to the Unsupervised Segmentation of Mitochondria in Subcellular Electron Microscopy Data” investigated applications of unsupervised machine learning techniques to the biomedical segmentation problems in electron microscopy domains.
Currently she is a postdoctoral researcher within the Insight Centre for Data Analytics at DCU, Ireland. Her research interests involve deep learning, electron microscopy, pattern analysis, statistical communication theory, information-theoretical problems and applied numerical methods. She is a member of IEEE and European Society for Molecular Imaging (ESMI).