Alexander Barnhill

Alexander Barnhill, M. Sc.

Researcher

Department of Computer Science
Chair of Computer Science 5 (Pattern Recognition)

Room 10.134
Martensstraße 3
91058 Erlangen

Since 04/2022: PhD Student, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg
- Research focus on Deep Learning Applied to Animal Linguistics
10/2020 – 10/2021: Master of Science in Computer Science, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg
- Focus on Pattern Recognition
- Master’s Thesis: Killer Whale Sound Source Localization Using Deep Learning
10/2017 – 10/2020: Bachelor of Science in Computer Science, Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg
- Focus on Pattern Recognition
- Bachelor’s Thesis: Generative Adversarial Networks for Killer Whale Signal Generation

Practical Experience

07/2021 – 03/2022: Data Scientist, Siemens Healthineers
- Development of machine (deep) learning forecasting models for radiology appointment demand over long periods of time.
- Analysis of hospital and patient data to determine patterns in patient movements and procedures.
- Determination of relevant patient-centric features in order to develop machine learning models to predict length of stay of cardiac and stroke patients
10/2020 – 06/2021: Software Engineer, Siemens Healthineers
- Development of simulation software for HL7 Data generation to simulate a functional hospital IT system which generates messages based on realistic patient pathways and consideration of constraints such as lack of resources causing delays in service.
11/2018 – 09/2020: Working Student, Siemens Mobility
- Development of applications using Angular / TypeScript and Flask / Python deployed on the MindSphere IoT Platform as well as the coordination of development teams to maintain quality and standards for these digitization solutions.
- Implementation and maintenance of CI/CD pipelines for the automation of testing and deployment of applications.

No projects found.

Barnhill A., Towers JR., Nöth E., Maier A., Bergler C.:
Utilizing Deep Incomplete Classifiers To Implement Semantic Clustering For Killer Whale Photo Identification Data
27th International Conference on Pattern Recognition (Kolkata, India, December 1, 2024 - December 5, 2024)
In: Proceedings of the 27th International Conference on Pattern Recognition 2024 2024
BibTeX: Download
Barnhill A., Nöth E., Maier A., Bergler C.:
ANIMAL-CLEAN – A Deep Denoising Toolkit for Animal-Independent Signal Enhancement
25th Annual Conference of the International Speech Communication Association, INTERSPEECH 2024 (Kos, Greece, September 1, 2024 - September 5, 2024)
In: Proceedings of the Annual Conference of the International Speech Communication Association 2024
BibTeX: Download

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