Armin Schuster
Armin Schuster, M. Sc.
Department of Electrical-Electronic-Communication Engineering
Chair of Electronics (Prof. Dr. Weigel)
Cauerstraße 9
91058 Erlangen
- Phone number: +49 9131 85-27656
- Fax number: +49 9131 85-28730
- Email: armin.schuster@fau.de
- Website: http://www.lfte.de
Curriculum Vitæ
| since 2021 | Researcher, Institute for Electronics Engineering, Friedrich-Alexander-University Erlangen-Nürnberg |
| 2020-2021 | Researcher, Department of Computer Science 12 (Hardware/Software Co-Design), Friedrich-Alexander-University Erlangen-Nürnberg |
| 2017-2020 | M.Sc. Information and Communication Technology, Friedrich-Alexander University Erlangen-Nürnberg |
| 2018-2019 | Exchange Year, NTNU Trondheim, Norway |
| 2013-2017 | B.Eng. Electrical Engineering and Information Technology, TH Nürnberg |
| 1994 | Born in Roth, Germany |
Area of Research
Mobile Communications, 6G
Awards
Master Prize Siemens Corporate Technology
Publications
2024
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Hybrid Sensing and Communications Receiver Front-End for Mobile Communications Applications
2023 IEEE MTT-S Latin America Microwave Conference (LAMC) (San Jose, 06/12/2023 - 08/12/2023)
DOI: 10.1109/LAMC59011.2023.10375541
URL: https://ieeexplore.ieee.org/abstract/document/10375541
BibTeX: Download
2023
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Design and Analysis of a RF Front-End Receiver System Based on Multi-Layer Organic Filtering for Sub-6 GHz Mobile Communication Applications
2023 IEEE Radio and Wireless Symposium (Las Vegas, Nevada, USA, 22/01/2023 - 25/01/2023)
In: IEEE Radio and Wireless Symposium, RWS 2023
DOI: 10.1109/RWS55624.2023.10046331
URL: https://ieeexplore.ieee.org/document/10046331
BibTeX: Download
2021
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Design Space Exploration of Time, Energy, and Error Rate Trade-offs for CNNs using Accuracy-Programmable Instruction Set Processors
2nd International Workshop on IoT, Edge, and Mobile for Embedded Machine Learning (ITEM) (Virtual Event, 13/09/2021 - 17/09/2021)
In: Springer, Cham (ed.): Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Switzerland: 2021
DOI: 10.1007/978-3-030-93736-2_29
BibTeX: Download