Ines Rieger

AI Research Scientist and Teaching Assistant

My primary doctoral supervisor is Prof. Dr. Ute Schmid, Head of the Cognitive Systems Group in the Department of Applied Computer Science at the University of Bamberg. My doctoral thesis aims to improve the robustness of AI models by integrating domain knowledge for affect recognition tasks.

As the project manager for GAIA-SaT-IoT, I oversaw the development of the first prototype of a wildlife camera tag that utilizes sensor-based AI in an embedded system. As a doctoral candidate, I developed and published methods for the BMBF Project Transparent Medical Expert Companion (TraMeExCo), where I served as a project manager. My research interests primarily focus on explainable machine learning, with an emphasis on ensuring the robustness and transparency of deep learning algorithms.

As part of my master's thesis, I developed a ResNet architecture with reduced parameters for real-time head pose estimation. Using a webcam, I programmed a real-time demonstrator based on the thesis. Additionally, I conducted a study to record videos of facial expressions.

As the project manager for the launch of a new online shop, I was responsible for overseeing the development and implementation of the project. Additionally, I served as the content manager for the website using TYPO3 CMS, and designed new marketing materials using Adobe InDesign. I also provided customer service.

Non-consecutive computer science degree programme. During my studies, I focused on machine learning and Java programming. Master's thesis: Head Pose Estimation using Deep Learning

Final project: conception and realization of a short dance film ("Cassiopeia")