Students

Current Master students at ETH

Mei Lan. On-Device Continual Learning for Bio-Signal Classification

Hübschmann Maël. Exploring SNN encoding and architecture for time series tasks

Castro Fonseca Jose. Energy-Efficient Edge Computing for Time-Series

Brieda Pietro. An energy-efficient SNN for brain-to-text decoding

Carlucci Francesco. Machine Learning based vital-signs monitoring from PPG signals

Belloni Sofia. Training of Foundation Models for Biosignals

She Xinyang. Improve Robustness in Brain-Machine Interfaces

Past Master students at ETH

Montazeri Kristofer. Semi-Supervised Segmentation of Synthetic Aperture Radar Image

Zhao Sumu. Detection of Myocardial Ischemia using ECG Classification

Thorir Mar Ingolfsson . Temporal Convolutional Networks vs. LSTMs for Biosignals Classification (Published at IEEE SMC 2020 and IEEE AICAS 2021)

Hekmat Nami. Embedded Detection and Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array

Schneider Tibor. Exploring BCI Algorithms on Mr.Wolf (Published at IEEE SMARTCOMP 2020 and IEEE ISCAS 2021)

Bosshard Yvan. Smartpatch for Sepsis: Towards Automated Vital Signs Monitoring

Hungerbuehler Simon. Compression of iEEG Data

She Xinyang. Low-Latency Human--Machine Interfaces

Gan Tianhong. Channel Selection for Low-Power Brain-Computer Interfaces

Langenegger Jovin. Energy Efficient Edge Computing for Brain--Machine Interfaces

Sieber Luca. Major Depression Disorder Classification

Kunzi Cyrill. Fixing the Classifier in Brain--Computer Interfaces

Rogenmoser Michael. Implementation of a TCN on PULP for Gesture Recognition based on Radar

Geiger Fabian. SmartHands: Toward Embedded and Smart Hands for Prosthetic and Robotic Applications (Published at IEEE SAS 2021 and IEEE Transactions on Instrumentation and Measurement 2022)

Ertekin Sarper. Low-Power Capacitive Sensing for Biosignal Analyses

Siller Quintanilla Rodolfo Octavio. Adversarial Attacks in Brain--Machine Interfaces (Presented at NeurIPS 2022 TSRML Workshop)

Widmer Lars. Spiking Neural Network for Motor Function Decoding Based on Neural Dust (Published at IEEE AICAS 2022)

Vero Mark. Hardware Constrained Neural Architecture Search (Published at ACM International Conference on Computing Frontiers 2022)

Wang Wei. Image-Based EEG Classification for Brain--Machine Interfaces

Kunz Roman. Motor Intention Detection for Low-Latency Brain--Machine Interfaces

Villani Federico. Investigation and Design of Integrated Capacitive Sensors Arrays for Biomedical Applications

Krishnan Anusha. Machine Learning on Datasets Collected Via Different Eye Movement Detection Techniques

Lory Bettina. An Efficient Neural-based Platform for Controlling Unmanned Aerial Vehicles

Kunzi Cyrill. Hardware-Software Codesign of Neural Decoding Algorithm for "Neural Dust"

Zaluska Tomasz. Nonlinear and Machine Learning Analyses on High-Density EEG data of Math Experts and Novices (Published in Nature Scientific Reports)

Mei Lan. Efficient Brain–Machine Interface for Controlling Unmanned Aerial Vehicles (Published at IEEE BioCAS 2023)

Chakraborty Upasana. Knowledge Distillation and Sensor Fusion for Epilepsy Detection (Published at IEEE BioCAS 2023)

Toomey Oscar. Spiking Neural Network for Motor Function Decoding Based on Neural Dust

Mei Lan. Classifying Objects Based on Tactile Information with Neuromorphic Computing

Jäger Sebastian. Self-supervised EEG Representation: Integrating Speech Models and Transformer Techniques

Past Undergraduate students at ETH

Kaya Burak, Tomekce Batuhan. Deep Learning for EEG data analysis and applications (Published at IEEE MeMeA 2020)

Zaugg Thiemo, Wuest Ryan. Development and Testing of a BCI System based on the ModularBCI Board

Celen Ata, Yaraulioglu Boran Deniz. Motor Movement Brain–Machine Interfaces: Dataset Acquisition and System Evaluation

Thammavongsa Anais. Detection of Major Depression Disorder using Graph Convolutional Networks

Luzi Lucia. Fractal Dimension Analyses on EEG signals of Math Experts and Novices

Bonura Giuseppe Edoardo. Implementation of MyoKinetic Interface's Localization Algorithm on GAP9 for Prosthetic Limbs