Mark Deutel
Mark Deutel, M. Sc.
Curriculum Vitæ
Since 05/2022 | Researcher at the Department of Computer Science 12 (Hardware/Software Co-Design) |
2019 – 2022 | Computer Science M.Sc. at Friedrich-Alexander-Universität Erlangen-Nürnberg |
2015 – 2019 | Computer Science B.Sc. at Friedrich-Alexander-Universität Erlangen-Nürnberg |
Research Projects
- Currently None
Research Interests
- Multi-Objective Optimization of Deep Neural Networks (DNNs) using Bayesian Optimization
- Design space exploration of DNN hyper- and compression parameters for optimized deployment on microcontrollers
- Neural Architecture Search (NAS), scalable and efficient architectures
- On-Device Continual Learning for Microcontrollers
- (Class-)Incremental Learning
- Lifelong Learning
- TinyML – Machine Learning on the Edge
- Efficient DNN Inference on (Cortex-M) microcontroller targets
- DNN Pruning & Quantization
- Demos and use-cases demonstrating the potential of embedded AI
Demos & Other Resources
Demo of MicroYOLO person detection on a STM32H743VI ARM Cortex-M7 based microcontroller (OpenMV H7 R2)
Demo of On-Device DNN Training (Animal Classification) on a STM32H743VI ARM Cortex-M7 based microcontroller (OpenMV H7 R2)
Teaching
SEMESTER |
Open Theses
- Currently none
Supervised Theses
- Currently none
Publications
2023
microYOLO: Towards Single-Shot Object Detection on Microcontrollers
ITEM: IoT, Edge, and Mobile for Embedded Machine Learning (Torino, 18. September 2023 - 22. September 2023)
BibTeX: Download , , :
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression
Methoden und Beschreibungssprachen zur Modellierung und Verifikation von Schaltungen und Systemen MBMV’23 (Freiburg, 23. March 2023 - 24. March 2023)
In: VDE (ed.): MBMV 2023; 26th Workshop 2023
Open Access: https://arxiv.org/abs/2205.10369
URL: https://ieeexplore.ieee.org/document/10173060
BibTeX: Download , , , :