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Dr.-Ing. Philipp Oberdiek

Data Scientist, Tech Explorer, Tennis Advocate, Coffee Enthusiast

Work Experience

Since August 2023

Data Scientist
ControlExpert GmbH
Langenfeld, Germany

April 2018 – March 2023

Research Associate
Pattern Recognition in Embedded Systems Group
Computer Science XII
TU Dortmund University
Dortmund, Germany

Oktober 2013 – March 2018

Student Research Assistant
University of Wuppertal
Wuppertal, Germany

April 2017 – June 2017

Internship – Siemens AG
Mühlheim an der Ruhr, Germany
Division Power and Gas
Responsibilities: Machine Learning and Data Analysis

July 2014 – September 2014

Internship – Commerz Real AG
Düsseldorf, Germany
Responsibilities: Workflow Automation

Education

September 2023

Dr.-Ing. – Computer Science
Pattern Recognition in Embedded Systems Group
Computer Science XII
TU Dortmund University
Dortmund, Germany

April 2018

Barmenia-Math-Award 2017 – First Place
For one of the best graduations of the year

March 2018

Master of Science – Mathematics
University of Wuppertal
Wuppertal, Germany
Grade: 1.1
With First Class Honours

July 2015

Bachelor of Science – Business Mathematics
University of Wuppertal
Wuppertal, Germany
Grade: 2.3

June 2012

A-Level
Röntgengymnasium (Grammar School)
Remscheid, Germany

Publications

September 2023

Assessing the Reliability of Deep Neural Networks
Philipp Oberdiek
TU Dortmund University

May 2022

UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via Conditional GANs
Philipp Oberdiek, Gernot A. Fink, Matthias Rottmann
36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, USA, 2022

June 2020

Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation
Philipp Oberdiek, Matthias Rottmann, Gernot A. Fink
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Seattle, USA, 2020

September 2019

Exploring Confidence Measures for Word Spotting in Heterogeneous Datasets
Fabian Wolf, Philipp Oberdiek, Gernot A. Fink
Proc. Int. Conf. on Document Analysis and Recognition, Sydney, Australia, 2019

September 2018

Classification Uncertainty of Deep Neural Networks Based on Gradient Information
Philipp Oberdiek, Matthias Rottmann, Hanno Gottschalk
8th IAPR TC 3 Workshop on Artificial Neural Networks for Pattern Recognition, Siena, Italy, 2018

Hobbies

Tennis
3D Printing
Micro Electronics
Internet of Things
Smart Home