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Dr. Alexander von Lühmann

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Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

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

Dr. Alexander von Lühmann
© v. Lühmann

Dr. Alexander von Lühmann

Research 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)

Ernesto E. Vidal-Rosas, Alexander von Lühmann, Paola Pinti, Robert J. Cooper

Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective

May 17 , 2023
https://doi.org/10.1117/1.NPh.10.2.023513

David Beeler, Yuanyuan Gao, Vaibhav Tripathi, Alice Cronin-Golomb, Theresa Ellis, Swathi Kiran, Alexander von Lühmann, Meryem Yücel, David Boas, David Somers

Observability of Visual Working Memory Brain Circuitry With Functional Near-Infrared Spectroscopy

August 01 , 2023
https://doi.org/10.1167/jov.23.9.5841

Leila Motamed Jahromi, Lin Yang, Dirk Grosenick, Alexander von Lühmann

Accuracy of tissue oxygen saturation measurement with multidistance CW fNIRS: a phantom study

August 09 , 2023
https://doi.org/10.1117/12.2670875

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.