Publications

(2026). Evaluation of EEG Foundation Models for Event-Based Burst-Suppression Detection in ICU. arXiv preprint.

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(2026). PanLUNA: An Efficient and Robust Query-Unified Multimodal Model for Edge Biosignal Intelligence. In IEEE AICAS 2026.

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(2026). LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG Modeling. In EUSIPCO 2026.

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(2026). FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-Low Power Microcontroller. In IEEE TBME.

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(2025). TinyMyo: A Tiny Foundation Model for Flexible EMG Signal Processing at the Edge. arXiv preprint.

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(2025). LUNA: Efficient and Topology-Agnostic Foundation Model for EEG Signal Analysis. In NeurIPS 2025.

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(2025). Finetuning and Quantization of EEG-Based Foundational BioSignal Models on ECG and PPG Data for Blood Pressure Estimation. In EMBC 2025.

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(2025). FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model. In EMBC 2025.

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(2025). SzCORE: Seizure Community Open-Source Research Evaluation Framework for EEG-Based Seizure Detection. In Epilepsia 66 (Suppl. 3).

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(2025). A Wearable Ultra-Low-Power System for EEG-Based Speech-Imagery Interfaces. In IEEE TBioCAS 2025.

IEEE Xplore

(2025). CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention. arXiv:2501.10885 (2025).

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(2024). VowelNet: Enhancing Communication with Wearable EEG-Based Vowel Imagery. In IEEE BioCAS 2024.

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(2024). Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain-Machine Interfaces. In IEEE BioCAS 2024.

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(2024). GAPses: Versatile Smart Glasses for Comfortable and Fully-Dry Acquisition and Parallel Ultra-Low-Power Processing of EEG and EOG. In IEEE TBioCAS 2024.

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(2024). BISeizuRe: BERT-Inspired Seizure Data Representation to Improve Epilepsy Monitoring. In IEEE EMBC 2024.

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(2024). BrainFuseNet: Enhancing Wearable Seizure Detection Through EEG-PPG-Accelerometer Sensor Fusion and Efficient Edge Deployment. In IEEE TBioCAS.

DOI

(2024). An Ultra-Low Power Wearable BMI System with Continual Learning Capabilities. In IEEE TBioCAS 2024.

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(2024). Reducing False Alarms in Wearable Seizure Detection With EEGformer: A Compact Transformer Model for MCUs. In IEEE TBioCAS 2024.

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(2024). A Muscle Pennation Angle Estimation Framework From Raw Ultrasound Data for Wearable Biomedical Instrumentation. In IEEE TIM 2024.

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(2024). 12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning. In DATE 2024.

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(2024). A Leap into the Future: Towards an Augmented Reality Learning Environment in Ski-Jumping. In Current Issues in Sport Science.

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(2024). Minimizing Artifact-Induced False Alarms for Seizure Detection in Wearable EEG Devices with Gradient-Boosted Tree Classifiers. In Scientific Reports 14:2980 (2024).

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(2023). Skilog: A Smart Sensor System for Performance Analysis and Biofeedback in Ski Jumping. In IEEE BioCAS 2023.

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(2023). EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems. In BIOCAS.

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(2022). EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices. In BioCAS.

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(2022). Energy-Efficient Tree-Based EEG Artifact Detection. In EMBC.

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(2022). Reducing Neural Architecture Search Spaces with Training-Free Statistics and Computational Graph Clustering. In CF22.

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(2021). Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices. In BIOCAS.

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(2021). ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. In AICAS.

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(2020). EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain–Machine Interfaces. In SMC.

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