MACHINE LEARNING GROUP

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN

Philipp Liznerski

PhD Student

Bio

Since 2020 Philipp Liznerski has been a research associate and PhD student in the Machine Learning group of Prof. Dr. Marius Kloft. He studied computer science at the TUK from 2014 to 2020 and received his M.Sc. with the thesis "Interpretable Deep Anomaly Detection on Images" under the supervision of Prof. Kloft. During his studies he worked, inter alia, as a programmer in the paper industry, as a teaching assistant, and as a student assistant at the DFKI and at the chair of Prof. Kloft.

Research interests

Philipp Liznerski is interested in explainable artifial intelligence (XAI) - especially in explaining deep neural networks, deep anomaly detection, and image processing. He has been working on efficient data loading frameworks, data augmentation techniques, few shot learning, and generative adversarial neural networks. Currently, he focuses on explainable anomaly detection and deep learning applications with 3D data.

Appointments and scientific matters
liznerski@cs.uni-kl.de
Office
TUK, Building 36, Room 316 - 67653 Kaiserslautern
Office phone
+49 205 3326

Curriculum Vitae

Education

2017-2020
Master degree in Computer Science, TU Kaiserslautern, Germany
2014-2017
Bachelor degree in Computer Science, TU Kaiserslautern, Germany

Professional Experience

since 2020
PhD candidate - Researcher, TU Kaiserslautern, Kaiserslautern, Germany
2018-2020
Student Assistant, ML Group, TU Kaiserslautern, Kaiserslautern, Germany
2016-2019
Student Assistant, DFKI, Kaiserslautern, Germany
2015-2016
Student Assistant, Software Technology group, TU Kaiserslautern, Kaiserslautern, Germany
2013-2015
Software Developer, Cordier Spezialpapier GmbH, Bad Dürkheim, Germany

Activities and honors

2016
Excellent rating for teaching by the lecture survey of the Fachschaft Informatik

Key publications