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Researcher Profile

Dr.techn. Markus Waser

Dr.techn. Markus Waser

Function

Scientist

Center

Digital Safety & Security

Competence Unit

Sensing & Vision Solutions

E-Mail

Markus.Waser(at)ait.ac.at

Phone

+43 50550 4226

Fax

+43 50550 4150

Address

Giefinggasse 4, 1210 Vienna

Career

Field: New Sensor Technologies

Main Research: Statistics, Signal Processing, Stochastic Models, Sleep Medicine, Distributed Acoustic Sensing

Experience: Vienna University of Technology

Mathematical Methods in Econometrics and System Theory.


Technical University of Denmark

Biomedical Signal Processing with a Focus on Quantitative EEG in Alzheimer's Diagnostics.


AIT Austrian Institute of Technology

Signal/Image Processing and Statistics with a Focus on

  • Quantitative EEG in Alzheimer's Diagnostics
  • Neurofeedback
  • Sleep Medicine
  • Distributed Acoustic Sensing

  • 2018-now: Scientist, Project Manager
    AIT Austrian Institute of Technology / Austria
  • 2016-2018: Postdoctoral Researcher
    DTU Technical University of Denmark / Denmark
  • 2011-2016: (Junior) Scientist
    AIT Austrian Institute of Technology / Austria
  • 2010-2011: Research Assistant
    Vienna University of Technology / Austria
  • 2009-2011: Software Developer
    TeleTrader Software GmbH / Austria
  • 2016: Erwin Schrödinger Fellowship (No. J3766) from FWF Austrian Science Fund

Publications

  • Quantitative EEG in Alzheimer´s Disease: Cognitive State, Resting State and Association with Disease Severity.
    Author(s): Garn H, Waser M, Deistler M, Schmidt R, Dal-Bianco P, Ransmayr G, Zeitlhofer J, Schmidt H, Seiler S, Sanin G, Caravias G, Santer P, Grossegger D, Frühwirt W, Benke T
    Journal: International Journal of Psychophysiology (2014)
  • Quantitative EEG Markers Relate to Alzheimer’s Disease Severity in the Prospective Dementia Registry Austria (PRODEM).
    Author(s): Garn H, Waser M, Deistler M, Benke T, Dal-Bianco P, Ransmayr G, Schmidt H, Sanin G, Santer P, Caravias G, Seiler S, Grossegger D, Fruehwirt W, Schmidt R
    Journal: Clinical Neurophysiology (2015)
  • Quantifying synchrony patterns in the EEG of Alzheimer’s patients with linear and non-linear connectivity markers.
    Author(s): Waser M, Garn H, Schmidt R, Benke T, Dal-Bianco P, Ransmayr G, Schmidt H, Seiler S, Sanin G, Mayer F, Caravias G, Grossegger D, Frühwirt W, Deistler M
    Journal: Journal of Neural Transmission (2016)
  • Sleep efficiency and neurophysiological patterns in middle-aged men are associated with cognitive change over their adult life course.
    Author(s): Waser M, Lauritzen M, Fagerlund B, Osler M, Mortensen E, Sorensen H, Jennum P
    Journal: Journal of Sleep Research (2018)
  • Neuroimaging markers of global cognition in early Alzheimer's disease: A magnetic resonance imaging–electroencephalography study.
    Author(s): Waser M, Benke T, Dal-Bianco P, Garn H, Mosbacher J, Ransmayr G, Schmidt R, Seiler S, Sorensen H, Jennum P
    Journal: Brain and Behavior (2019)
  • A blind source-based method for automated artifact-correction in standard sleep EEG.
    Author(s): Waser M, Garn H, Jennum P, Sorensen H
  • Sleep efficiency and electroencephalographic patterns in midlife are associated with cognitive change over the adult life course.
    Author(s): Waser M, Lauritzen M, Fagerlund B, Osler M, Mortensen E, Sorensen H, Jennum P
  • A flexible method for the automated offline-detection of artifacts in multi-channel electroencephalogram recordings.
    Author(s): Waser M, Garn H, Benke T, Dal-Bianco P, Ransmayr G, Schmidt R, Jennum P, Sorensen H
  • Using Static and Dynamic Canonical Correlation Coefficients as Quantitative EEG Markers for Alzheimer’s Disease Severity.
    Author(s): Waser M, Garn H, Deistler M, Benke T, Dal-Bianco P, Ransmayr G, Schmidt H, Sanin G, Santer P, Caravias G, Seiler S, Grossegger D, Frühwirt W, Schmidt R
  • Removing cardiac interference from the electroencephalogram using a modified Pan-Tompkins algorithm and linear regression.
    Author(s): Waser M, Garn H

Further Information

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