Alexander Barnhill
Alexander Barnhill, M. Sc.
Academic CV
- 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.
Projects
No projects found.
Publications
2023
Journal Articles
ORCA-SPY enables killer whale sound source simulation, detection, classification and localization using an integrated deep learning-based segmentation
In: Scientific Reports 13 (2023), Article No.: 11106
ISSN: 2045-2322
DOI: 10.1038/s41598-023-38132-7
BibTeX: Download
, , , , , , , , :
ORCA-SPY: Killer Whale Sound Source Simulation and Detection, Classification and Localization in PAMGuard Utilizing Integrated Deep Learning Based Segmentation
In: Scientific Reports UNDER REVIEW (2023)
ISSN: 2045-2322
BibTeX: Download
, , , , , , , , :
2022
Journal Articles
ANIMAL‐SPOT enables animal‐independent signal detection and classification using deep learning
In: Scientific Reports 12 (2022), p. 1-16
ISSN: 2045-2322
DOI: 10.1038/s41598-022-26429-y
BibTeX: Download
, , , , , , , , , , , , , , :
Conference Contributions
ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning
23nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (Incheon, Korea, September 18, 2022 - September 22, 2022)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 2022
DOI: 10.21437/interspeech.2022-846
BibTeX: Download
, , , , , :
Lectures
No matching records found.