Sebastian Doerrich

Teaching and Research Assistant

M.Sc., Doctoral Candidate

Adresse:      An der Weberei 5, 96047 Bamberg
Room:         WE5/04.085

Phone:       +49-951-863-2961

E-mail:         sebastian.doerrich(at)uni-bamberg.de

Consultation hour

during lecture times: Thursday 1 p.m. to 2 p.m. in WE5/04.085 (notification per Email recommended)
outside lecture times: by appointment

Biography:

Sebastian Dörrich is a dedicated PhD candidate at the Otto-Friedrich University of Bamberg, specializing in the field of Explainable Machine Learning (xAI) since 2022.
With a focus on developing robust and data-efficient machine learning methods, Sebastian's research has versatile applications in industries and especially healthcare.

Prior to his doctoral studies, Sebastian gained valuable experience as a Graduand at Siemens Healthcare GmbH, Imaging and Therapy Systems division in 2021, where he worked on the automatic localization and standard plane regression of vertebral bodies within intra-operative 3D CBCT volumes using deep learning techniques.
He also undertook an internship and served as a student assistant at the Siemens Healthineers' Advanced Therapies division from 2019 to 2020, contributing to the migration and optimization of calibration for mobile C-arm systems and developing models to eliminate the weight-based tilt of operating tables.

During his academic journey, Sebastian actively engaged in research and development projects.
At Fraunhofer IIS, he worked on the development of an automatic flow-rating system for exercises based on tracking and event data.
He also participated in the Interactive Media Technology Center at Georgia Tech as part of Team “Penrose”, contributing to the development of a 3D perspective platformer game within the Unity environment.
Additionally, Sebastian was part of Team “Extegy” at the Machine Learning and Data Analytics Lab at FAU, where he developed a user-friendly app to provide the shortest and safest exit path to users in case of an emergency.

Sebastian holds a Master's degree in Medical Engineering from Friedrich-Alexander-University, Erlangen-Nuremberg, with a special focus on algorithmics.
He further pursued his academic career by attending the Master's program in Computer Science at the Georgia Institute of Technology, specializing in AI and Deep Learning.
His Bachelor's degree in Medical Engineering from Friedrich-Alexander-University focused on medical imaging and data processing.

Beyond his academic pursuits, Sebastian is passionate about environmental protection and sustainability. In his free time, he enjoys soccer, jogging, and hiking.

Profiles: Google Scholar, LinkedIn, X, GitHub, ORCiD, ResearchGate, FIS, XING