TU Berlin

Berlin International Graduate School in Model and Simulation based Research (BIMoS)Alexander von Lühmann



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Alexander von Lühmann


Alexander von Lühmann started his fellowship on October 1st, 2015 in Prof. Dr. Klaus-Robert Müller's research group "Machine Learning" at Faculty IV. He has been working with Prof. Müller's group since August 2014.


CV (PDF, 249,4 KB)


Research Project: "Innovative multimodal methods of analysis and biosignal acquisition technology for mobile Human Machine Interfaces and brain research"




Peer-reviewed journals
A. von Lühmann, H. Wabnitz, T. Sander and K.-R. Müller, „M3BA: A Mobile, Modular, "Multimodal Biosignal Acquisition architecture for miniaturized EEG-NIRS based hybrid BCI and monitoring“, IEEE Trans. on Biomedical Engineering, vol. 64, no. 6, pp. 1199-1210, 2017
A. von Lühmann, C. Herff, D. Heger, and T. Schultz, “Towards a wireless open source instrument: functional near-infrared spectroscopy in mobile neuroergonomics and bci applications”, Frontiers in Human Neuroscience, vol. 9, no. 617, doi: 10.3389/fnhum.2015.00617, 2015
J. Shin, A. von Lühmann, B. Blankertz, Do-Won Kim, H.-J. Wang and K.-R. Müller, "Open Access Dataset for EEG+NIRS Single-Trial Classification“, IEEE Trans. on Neural Systems and Rehabilitation Engineering, vol. 25, no. 10, pp. 1735-1745, 2017
J. Shin, D.W. Kim, A. von Lühmann, J. Mehnert, H. J. Hwang and K.-R. Müller, "Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset", Nature Scientific Data (in revision), 2016
A. von Lühmann, “Wenn das Gehirn sich selbst betrachtet”, Junge Wissenschaft, v. 84, pp.44-55, 2009
Books / Book chapters
S. Soekadar, A. von Lühmann, N. Birbaumer, Chapter on functional Near-Infrared Spectroscopy technology in Brain-Computer Interface applications. Handbook of Neurology, (in preparation)
A. von Lühmann, Multimodal neurotechnology outside of the laboratory, Book - thesis adaptation (in preparation)
Full Conference Papers
A. von Lühmann, Jessica Addesa, Sourav Chandra, Abhijit Das, Mitsuhiro Hayashibe and Anirban Dutta, „Neural interfacing non-invasive brain stimulation with NIRS-EEG joint imaging for closed-loop control of neuroenergetics in ischemic stroke”, Conference Proceedings—8th International IEEE EMBS Conference On Neural Engineering, Shanghai, China, 2017
A. von Lühmann and K.-R. Müller, „Why build an integrated EEG-NIRS? About the advantages of hybrid bio-acquisition hardware”, Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, JeJu Island, Korea, 2017
A. von Lühmann, S. Soekadar, K.-R. Müller, B. Blankertz, „Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probes“, Proceedings of the 7th Graz Brain-Computer Interface Conference, Graz, Austria, 2017
B. Schmitz, R. Wiegand, A. von Lühmann and S. Schulz, „A new capacitive EMG Sensor for control of the active orthosis orthojacket“, Proceedings of the LASTED international Conference BioMed, 2012
Conference Abstracts / Posters / Talks
S. Brandl, A. von Lühmann and K.-R. Müller, “Towards Brain-Computer Interfaces outside the lab: new measuring devices and machine learning challenges”, Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, JeJu Island, Korea, 2017

A. von Lühmann and K.-R. Müller, „M3BA: New Technology for Mobile Hybrid BCIs”, Proceedings of the 6th International Brain-Computer Interface Meeting, Pacific Grove, USA, 2016

A. von Lühmann, “Hybridization of bio-electrical and bio-optical acquisition technology using open fNIRS components”, Proceedings of the DGBMT workshop biosignal processing, Berlin, Germany, 2016

A. von Lühmann, H. Wabnitz, T. Sander and K.-R. Müller, „Miniaturized CW NIRS for integration and hybridization with mobile EEG / ECG / EMG and Accelerometer“, The Society for functional Near Infrared Spectroscopy Biennial Meeting Paris, France, 2016

A. von Lühmann and K.-R. Müller, „Biosignal acquisition device and system, method for acquisition of biosignals”, US Patent Application # US20170281014A1, (pending), 2016

A. von Lühmann, “Capacitive sensor system for measurement of electromagnetic bio-signals” DE Patent # DE102012014219A1, 2013


Mailing Address
Technische Universität Berlin
Sekretariat MAR 4-1
Marchstr. 23
10587 Berlin






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