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
Teaching
SEMESTER |
Open Theses
- Currently none
Supervised Theses
- Currently none
Publications
2023
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)
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