Lukas Fischer Ph.D.
Lukas Fischer is Research Manager for Data Science at the Software Competence Center Hagenberg.
He did his MSc in Medical Informatics at the TU Wien (TUW) with focus on medical image segmentation, statistical shape models, image registration, bio-inspired optimization algorithms and machine learning. He continued his PhD studies and research in the domain of medical imaging/medical physics as a research assistant at the Computational Imaging Research Lab (CIR) at the Medical University of Vienna (MUW). His research focus was on the computer vision based quantification of trabecular microarchitecture in patients suffering from severe osteoporosis after lung transplantation.
His current main research interests are in Machine Learning, with special focus on Deep Learning, Generative Models (e.g. GANs, VAEs, AEs), Computer Vision, especially on medical data (e.g. segmentation, registration, classification, and tracking), Statistical Shape Models as well as Transfer Learning and Privacy Preserving Learning aspects.
In addition to his research activities, he is an experienced project manager of various national and international research projects, for example TRESSPASS (H2020 SEC-15-BES-2017), VISIOMICS (FFG COIN), and deepTrust (FFG COMET).