User:Herschmi
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Michael Hersche
Michael Hersche received his M.Sc. degree from the Swiss Federal Institute of Technology Zurich (ETHZ), Switzerland, where he is currently pursuing a Ph.D. degree. Since 2019, he has been a research assistant at ETHZ in the group of Prof. Luca Benini at the Integrated Systems Laboratory. His research targets digital signal processing, artificial intelligence, and communication with focus on hyperdimensional computing.
Interests
- Hyperdimensional Computing
- Machine Learning
- Approximate Computing
- Communication
- Brain-Computer Interfaces
- Human Intranet
Contact Information
- Office: ETZ J 76.2
- e-mail: herschmi@iis.ee.ethz.ch
- www: IIS Homepage
- phone: (+41 44 63) 259 12
Available Projects
Here is a list of available projects. If you come up with your own project idea covering my interests, feel free to contact me.
- Hardware Constrained Neural Architechture Search
- Combining Spiking Neural Networks with Hyperdimensional Computing for Autonomous Navigation
- Classification of Evoked Local-Field Potentials in Rat Barrel Cortex using Hyper-dimensional Computing
- Data Augmentation Techniques in Biosignal Classification
- Compression of iEEG Data
- BCI-controlled Drone
- Contrastive Learning for Self-supervised Clustering of iEEG Data for Epileptic Patients
- Deep neural networks for seizure detection
- Towards global Brain-Computer Interfaces
Projects in Progress
- Low Latency Brain-Machine Interfaces
- Hyper-Dimensional Computing Based Predictive Maintenance
- Memory Augmented Neural Networks in Brain-Computer Interfaces
Completed Projects
- Deep Convolutional Autoencoder for iEEG Signals
- Exploring features and algorithms for ultra-low-power closed-loop systems for epilepsy control
- TCNs vs. LSTMs for Embedded Platforms
- An Energy Efficient Brain-Computer Interface using Mr.Wolf
- Toward hyperdimensional active perception: learning compressed sensorimotor control by demonstration
- Exploring Algorithms for Early Seizure Detection
- Improving Resiliency of Hyperdimensional Computing
- Toward Superposition of Brain-Computer Interface Models
