Timo Maiwald
Timo Maiwald, M. Sc.
Curriculum vitae
Within a dual course of studies at Siemens AG in Hannover Timo Maiwald was qualified as Electronics Technician for Automation Technology and received his Bachelor’s degree in Electrical Engineering, Electronics, and Information Technology. Afterwards he finished his master studies in Electrical Engineering, Electronics, and Information Technology at the University of Erlangen-Nürnberg. In Oktober 2020 he joined the Institute for Electronics Engineering.
Areas of work
- Bluetooth Low Energy (BLE)
- Internet of Things (IoT)
- System Design and Integration
- Machine Learning
Open Thesis Projects
Just contact me if you are interested in the topics above. Focus of the thesis can be set depending on your strength and preferences.
Publications
A Human Pose Recognition Model Comparison to Label Radar Data for Gesture Recognition in Robotics (Conference contribution, accepted)
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Time Domain Integration in Range Doppler/Angle Images for Human Gesture Recognition with FMCW Radar (Conference contribution, accepted)
Asia-Pacific Microwave Conference (APMC) (Bali, Indonesia, 17. November 2024 - 20. November 2024)
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Deep Learning-based Person Detection on a Moving Robot
Radio and Wireless Week (San Antonio, Texas, 21. January 2024 - 25. January 2024)
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Automated Radar Data Labeling using MoveNet for Human Gesture Recognition
2023 Asia-Pacific Microwave Conference (APMC) (Taipei, Taiwan, 5. December 2023 - 8. December 2023)
DOI: 10.1109/APMC57107.2023.10439908
URL: https://ieeexplore.ieee.org/document/10439908
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Gesture Recognition to Control a Moving Robot With FMCW Radar
2024 IEEE Radio and Wireless Symposium (RWS) (San Antonio, TX, USA, 21. January 2024 - 24. February 2024)
DOI: 10.1109/RWS56914.2024.10438564
URL: https://ieeexplore.ieee.org/document/10438564
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Accelerating Deep Learning in Radar Systems: A Simulation Framework for 60 GHz Indoor Radar
In: Remote Sensing (2024)
ISSN: 2072-4292
DOI: 10.3390/rs16214028
URL: https://www.mdpi.com/2072-4292/16/21/4028
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Evaluating Synthetic Data Potential for 60 GHz FMCW Radar Simulations with Real Measurements
11th Microwave and Radar Week (Wroclaw, 1. July 2024 - 4. July 2024)
URL: https://ieeexplore.ieee.org/document/10644403
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Automated Radar Data Labeling through Computer Vision
Wamicon (Melbourne, FL 32903, 17. April 2023 - 18. April 2023)
DOI: 10.1109/WAMICON57636.2023.10124886
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A Wireless Lightweight System Node for Energy Efficient Beehive Sensing
2023 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2023 (Las Vegas, NV, USA, 22. January 2023 - 25. January 2023)
In: 2023 IEEE Topical Conference on Wireless Sensors and Sensor Networks, WiSNeT 2023 2023
DOI: 10.1109/WiSNeT56959.2023.10046265
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Nuclide Identification using CsI(Tl) Gamma Ray Spectra and Neural Networks
International Conference on Machine Learning and Applications 2022 (Nassau, The Bahamas, 12. December 2022 - 14. December 2022)
In: 21st IEEE International Conference on Machine Learning and Applications (ICMLA) 2023
DOI: 10.1109/ICMLA55696.2022.00249
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Planar Coils for Detection of Magnetic Nanoparticles in a Testbed for Molecular Communication
9th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2022 (Barcelona, 5. October 2022 - 7. October 2022)
In: Proceedings of the 9th ACM International Conference on Nanoscale Computing and Communication, NANOCOM 2022 2022
DOI: 10.1145/3558583.3558844
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Timing Deviations in Wireless Networks using Bluetooth Periodic Advertising
International Instrumentation & Measurement Technology Conference (Ottawa, 16. May 2022 - 19. May 2022)
In: IEEE (ed.): 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) 2022
DOI: 10.1109/I2MTC48687.2022.9806632
URL: https://ieeexplore.ieee.org/document/9806632
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