Nils Harmening
Nils Harmening
Doctoral Researcher
Affiliation: BIFOLD
Nils Harmening is a doctoral researcher in the Intelligent Biomedical Sensing (IBS) group and the neurotechnology group at Technische Universität Berlin. He received his master´s degree in Physics at Freie Universität Berlin in 2017 with a focus on nonlinear dynamics, biophysics and climate science. Since 2019 he is working on enhancing human head models for EEG and fNIRS data analysis and image reconstruction improvement.
Recent projects:
- Head Artefact Modeling using Tripoles (HArtMuT)
- MRI-free head model Individualization using Photogrammetry or digitized sensor positions
- Electrical Impedance Tomography (EIT) for EEG conductivity optimization
- Fast stroke detection using EIT
Brain-Computer Interfaces Elektrophysical modelling of the human head Elecrical Impedance Tomography (EIT) Inverse EIT Problem Deep Learning for inverse problems
Eike Middell, Laura B. Carlton, Shakiba Moradi, Tomás Codina, Thomas Fischer, Josef Cutler, Shannon M. Kelley, Jacqueline Behrendt, Theekshana Dissanayake, Nils Harmening, Meryem A. Yücel, David A. Boas, Alexander von Lühmann
Cedalion tutorial: a Python-based framework for comprehensive analysis of multimodal fNIRS and DOT from the lab to the everyday world
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
Nils Harmening, Alexander von Lühmann, Benjamin Blankertz