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Dr. Alexander von Lühmann

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Technische Universität Berlin
Intelligent Biomedical Sensing (IBS)

Marchstr. 23, 10587 Berlin
https://ibs-lab.com/

Dr. Alexander von Lühmann
© v. Lühmann

Dr. Alexander von Lühmann

Research Junior Group Lead

Alexander von Lühmann is currently the head of the independent research group “Intelligent Biomedical Sensing (IBS)” at BIFOLD, Machine Learning Dept, TU Berlin. He is also a visiting researcher at the Neurophotonics Center of Boston University (BU NPC) and Chief Scientific Officer at NIRx Medical Technologies. Previously, he was R&D director at NIRx, post-doc at BU NPC, visiting researcher at the Martinos Center of Harvard Medical School in Boston, USA, and Chief Technology Officer of Crely, a US-Singapore-based healthcare startup. He received his PhD (Dr.-Ing.) with distinction in 2018 from Technische universität Berlin (TU Berlin) and the M.Sc. and B.Sc. degrees in Electrical Engineering from Karlsruhe Institute of Technology (KIT) in 2014/11.

At the Intelligent Biomedical Sensing(IBS) Lab, Alexander von Lühmann research focuses on machine learning and instruments for comprehensive brain-body monitoring. The IBS lab develops miniaturized wearable neurotechnology and body-worn sensors for unobtrusive monitoring of the embodied brain in the everyday world. It uses machine learning on the multimodal sensor data, together with environmental context information, to contribute to a paradigm shift in individualized comprehensive understanding of physical and mental health: Toward intelligent assessment and treatment of physical and mental states and risk factors. Current focus is on instrumentation for diffuse optics and biopotentials (fNIRS, DOT, EEG, ExG) and using machine learning for multimodal biomarker discovery, novel approaches in modelling physiology, latent component analysis, and identification of physiological transfer functions.

2022 Early Investigator Award, Society for functional Near Infrared Spectroscopy (SfNIRS)
2019 BIMoS PhD Award, Berlin International Graduate School in
Model and Simulation based Research (BIMoS), TU Berlin
2018 Klee-Award (3rd), German Society for Biomedical Engineering (DGBMT)
2014 -
2018
Research scholarships by ML Department, TU Berlin | Scholarship + Research fellowship
at BIMoS TU Berlin
2012 Winner Innovation Academy Biotechnology, BMBF

 

The IBS lab develops instrumentation and machine learning methods for unobtrusive sensing of signals from the brain and in the body, and extraction of relevant biomarkers. We try to assess mental states (e.g., stress or fatigue) but also physiological health and risk-factors. Greatly simplified: We are working towards a smartwatch for the brain. 

  • DIN (Deutsches Institut für Normung | German Institute for Standardization)
  • SfNIRS (Society for functional Near Infrared Spectroscopy)
  • VDE (Verband Der Elektrotechnik, Elektronik und Informationstechnik| Association of Electrical, Electronic and Information Technologies)
  • OPTICA (formerly OSA)
  • OHBM (Organization for Human Brain Mapping)

Laura B. Carlton, Miray Altınkaynak, Shannon Kelley, Bernhard B. Zimmermann, Sreekanth Kura, Eike Middell, Alexander von Lühmann, Emily P. Stephen, Meryem A. Yücel, David A. Boas

Surface-based image reconstruction optimization for high-density functional near-infrared spectroscopy

March 14, 2026
https://doi.org/10.1117/1.NPh.13.2.025001

E. Middell, L. Carlton, S. Moradi, T. Codina, T. Fischer, J. Cutler, S. Kelley, J. Behrendt, T. Dissanayake, N. Harmening, M. A. Yücel, D. A. Boas, A. von Lühmann

Cedalion Tutorial: A Python-based framework for comprehensive analysis of multimodal fNIRS & DOT from the lab to the everyday world

January 09, 2026
https://doi.org/10.48550/arXiv.2601.05923

Meryem A. Yücel, Jessica E. Anderson, De’Ja Rogers, Parisa Hajirahimi, Parya Farzam, Yuanyuan Gao, Rini I. Kaplan, Emily J. Braun, Nishaat Mukadam, Sudan Duwadi, Laura Carlton, David Beeler, Lindsay K. Butler, Erin Carpenter, Jaimie Girnis, John Wilson, Vaibhav Tripathi, Yiwen Zhang, Bettina Sorger, Alexander von Lühmann, David C. Somers, Alice Cronin-Golomb, Swathi Kiran, Terry D. Ellis & David A. Boas

Quantifying the impact of hair and skin characteristics on fNIRS signal quality for enhanced inclusivity

September 02, 2025
https://doi.org/10.1038/s41562-025-02274-7

News
BIFOLD Update| Sep 18, 2025

IBS Lab Contribution to fNIRS UK 2025

At fNIRS UK 2025 in Cambridge, IBS Lab will showcase ERC-funded research on multimodal neuroimaging, including a Cedalion toolbox workshop, advances in fNIRS-EEG fusion, and deep learning transfer from fMRI to fNIRS/DOT.

News
BIFOLD Update| Mar 07, 2025

BIFOLD at MBB 2025

Two PhD students from BIFOLD will present their latest machine learning research for multimodal brain imaging at the 12th MindBrainBody Symposium 2025 in Berlin. Their work demonstrates AI-driven approaches to enhancing neuroimaging, contributing to interdisciplinary advancements in neuroscience.

News
BIFOLD Update| Sep 23, 2024

Expedition Neurotechnology

Join us for a tour around the IBS Lab: The Lab is chaired by Dr. Alexander von Lühmann, who recently received a ERC Starting Grant, for his researchproject to measure and analyze brain activity in people's everyday environments, using AI to analyze the detected signals.

News
BIFOLD Update| Sep 05, 2024

ERC Starting Grant for Dr. Alexander von Lühmann

Dr. Alexander von Lühmann has been awarded an ERC Starting Grant of EUR 1.65 million. The goal of the IBS Lab is to measure and analyze brain activity in people's everyday environments.

News
BIFOLD Update| Dec 03, 2023

New open research positions

Join BIFOLD and collaborate with renowned experts on cutting-edge Machine Learning and Data Management research! Develop robust, trustworthy, and sustainable AI solutions with our team of international scientists. 

News
BIFOLD Update| Sep 06, 2023

First Neuroscience of the Everyday World Conference

From August 29th to 30th the "Neuroscience of the Everyday World" conference convened neuroscientists, researchers and experts to discuss the challenges and opportunities of continuous, multimodal brain measurements in naturalistic environments. The conference was organized, among others, by BIFOLD Research grouplead Dr. Alexander von Lühmann.