Amir Omidvarnia

Angestellt, Postdoctoral Researcher, Forschungszentrum Jülich

Juelich, Deutschland

Über mich

​I am interested in disentangling the complex dynamics of human brain function in health and disease​s such as epilepsy​, where neuroscience ​and neurology ​meet engineering and data science. My passion is to ​design, implement, and apply​ ​machine learning and data science methods for diagnostic and prognostic purposes.

Fähigkeiten und Kenntnisse

Maschinelles Lernen
Python
MatLab
ML
Data Analysis
Signal Processing
Imaging
Statistics
Engineering
Technology
Data Science
Analytics

Werdegang

Berufserfahrung von Amir Omidvarnia

  • Bis heute 2 Jahre und 10 Monate, seit Aug. 2021

    Postdoctoral Researcher

    Forschungszentrum Jülich

    Develop and apply machine learning models for prediction of cognitive performance in large scale neuroimaging databases

  • 1 Jahr und 9 Monate, Dez. 2019 - Aug. 2021

    Postdoctoral Researcher

    Ecole Polytechnique Federale de Lausanne

    - Conduct nonlinear time series analysis of resting state fMRI data to acquire better understanding of complex dynamics in brain function - Senior teacher assistant of the postgraduate course Signal Processing for Functional Brain Imaging, led by Prof. Dimitri Van De Ville at the School of Engineering

  • 5 Jahre und 10 Monate, Feb. 2014 - Nov. 2019

    Postdoctoral Researcher

    Florey Institute of Neuroscience and Mental Health

    - Automatic detection of interictal epileptic spikes (IEDs) fir EEG-fMRI analysis of drug-resistant epilepsy patients, - Functional brain connectivity analysis of epilepsy patients using multi-modal recordings such as EEG and fMRI, - Algorithm development for analysis of medical data in presence of epilepsy using graph theory, time-frequency analysis and statistical - Development of new fMRI analysis techniques for studying dynamic functional brain connectivity in epilepsy patients

Ausbildung von Amir Omidvarnia

  • 4 Jahre und 3 Monate, Aug. 2010 - Okt. 2014

    Biomedical Engineering

    University of Queensland

Sprachen

  • Persian

    Muttersprache

  • Deutsch

    Grundlagen

  • Englisch

    Fließend

Interessen

Sports
Travel
Cycling
Music

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