Thorir Mar Ingolfsson
Research
Publications
Talks
Blog
Join
Contact
Light
Dark
Automatic
Biosignals
ARNI Working Group 2026 – Foundation Models for Wearables: From EEG and EMG to Multimodal Models at the Edge
Invited talk at ARNI’s Frontier Models for Neuroscience and Behavior working group on foundation models for wearable EEG, EMG and multimodal biosignals, from pre-training objectives to measured inference on a milliwatt-class microcontroller.
19 Oct 2026 15:00
Online · ARNI, NSF AI Institute for Artificial and Natural Intelligence (Columbia University / University of Pennsylvania)
Code
Slides
Models (Hugging Face)
ARNI event page
Learning World Models from Physiological Time Series
Build and stress-test a self-supervised world model for biosignals, and work out where its anti-collapse regulariser stops respecting the fact that the data has an order.
Last updated on 31 Jul 2026
MSc Thesis
AMLD Intelligence Summit 2026 – Pushing Biosignal FMs to the Edge
Poster presentation of our full-stack framework for deploying biosignal foundation models on ultra-low-power edge devices at AMLD 2026 in Lausanne.
10 Feb 2026
SwissTech Convention Center, EPFL, Lausanne, Switzerland
PDF
Code
AMLD 2026 event page
IEEE EMBC 2025 – Silent Disco Presentations
Presented quantized biosignal foundation models in EMBC’s silent disco session while Anna Tegon delivered FEMBA.
17 Jul 2025 11:00
Bella Center Copenhagen, Denmark
Code
Blood-pressure slides
FEMBA slides
Finetuning & Quantization paper
FEMBA paper
BioFoundation: Foundation Models for Biosignals
Open-source framework powering LUNA, FEMBA, CEReBrO, and other EEG foundation models — including LUNA, accepted at NeurIPS 2025.
PDF
Code
GitHub
Paper
Real-Time Drone Navigation with a Wearable EEG Headband
We built a non-stigmatizing EEG headband with an ultra-low-power PULP processor that recognizes eye blinks, eyebrow movements, and alpha waves in real time and uses them to control a flying nano-drone — all computation happens on-board the wearable, without a laptop in the loop.
PDF
Video
Cite
×