Curriculum Vitae

Muthuraman, Muthuraman, Prof. Dr-Ing.

Neural Engineering with Signal Analytics and Artificial Intelligence (NESA-AI)

Universitätsklinikum Würzburg

Department of Neurology

Phone: +49 (0) 931 201 23011


Academic education with degree(s)

2003 – 2005   Master of Science, Technical Faculty, University of Kiel

1998 – 2002    Bachelor of Engineering, University of Madras

Scientific degrees

2022 APL-Professor, Johannes Gutenberg University, Mainz

2015 Habilitation, Technical Faculty, University of Kiel (Prof. Günther Deuschl)

2010                 PhD (Dr.-Ing.), Technical Faculty, University of Kiel (Prof. Ulrich Heute)

Academic positions

2016 – 2022      Assistant Professor, at Johannes Gutenberg University, Mainz                           

2013 – 2016      Senior Scientist, Christian Albrecht’s University, Kiel

2010 – 2013      Postdoctoral position, Christian Albrecht’s University, Kiel

2006 – 2010      Research Assistant, Christian Albrecht’s University, Kiel

Professional activities

Since 2022          Associate Editor in NPJ Parkinson Disease

Since 2022          Associate Editor in Brain Research

Since 2021         Associate Editor in Frontiers in Immunology

Since 2020        Associate Editor in Brain Sciences

Since 2019        Review Editor in Brain Topography

Since 2017         Associate Editor in Frontiers in Human Neuroscience

Since 2017         Associate Editor in Frontiers in Neurology

Since 2018         Associate Editor in Frontiers in Aging Neuroscience

Since 2011          Ad Hoc Reviewer for – Annals of Neurology, Acta Neurologica Scandinavica, Brain, Biomedical signal processing and control, Biological psychiatry, Brain topography, Cerebral cortex, Clinical neurophysiology, Frontiers in neurology, Giga science, Human brain mapping, iScience, Journal of neural engineering, Journal of neuroscience methods, Journal of Neurophysiology, Movement disorders, Nature scientific reports, Neuroimage, Neuroimage clinical, Neurorehabilitation, Plos one, Transactions in biomedical engineering, Transactions on neural systems and rehabilitaton.


2021     PI, Quantification of falls and rigidity and their interrelation to disease state and symptoms modulation through DBS (80,000 Euros) – Abbott – St. Jude.

2019     PI, Automatisierte Schlafstadien-Klassifizierung. (116,000 Euros) – WIPANO- Weiterentwicklung von Erfindungen.  

2019     Co-PI, neurophysiological assessment of spinal cord. (110,000 Euros) –PROVOST-PhD award.  

2019     Co-PI, Discovery of Novel Phenotypes of Amyotrophic Lateral Sclerosis based on Neurophysiological Measures of Network Dysfunction for Patient Stratification in Clinical Trials. (300,000 Euros) – ALS Association.  

2019     PI, Topological patterns of damage and compensation in chronic neuroinflammation. (350,000 Euros) – German Research Foundation (CRC-TR-128).  

2019     Co-PI, Network Impairment in ALS: Quantifying the Unquantifiable. (130,000 Euros) – Foundation Thierry Latran.  

2019     Co-PI, Identification of brain structures and networks encoding pain, hyperalgesia, pain control and sympathetic function acutely after stroke. A voxel-based lesion-behaviour – network mapping study of acute stroke patients. (120,000 Euros) – German Research foundation

2018     Co-PI, Novel neurophysiological biomarkers of heterogeneous network degeneration in motor neuron disease for quantifying the progression and outcome in clinical trials (300,000 Euros) – HRB (Health research board of Ireland)-MRCG

2018      Co-PI, Source Analysis of Neuroelectric Signals (64,000 Euros) – University of Dublin

2017      PI, Bioactive phospholipids modulated inhibition in response to stress – a translational approach (273,000 Euros) – Boehringer Ingelheim

2017     Co-PI, Brain networks covariance in healthy aging and Parkinson’s disease (40,000 Euros) – Johannes Gutenberg University funds, Mainz

2017      PI, Optimizing the clinical rationale of directed lead deep brain stimulation through neural network analysis (53,000 Euros) – Boston Scientific.

2017     PI, Translational approach for optimisation of patterned STN-DBS from network analysis (99,000 Euros) – Abbott – St. Jude.

2016     PI, Electrophysiological biomarkers of the sensorimotor cortex for closed-loop stimulation in Parkinson’s disease (20,000 Euros) – Medtronic

2014     Co-PI, Zusammenhänge zwischen Sprachverständlichkeit, Sprechtaktverhalten und Gehirnaktivität bei Parkinson-Patienten (186,300 Euros) – German Research foundation (DFG).

2011     PI, Source analysis on simultaneously measured EEG and MEG signals of the brain in tremors and epileptic disorders (34,000 Euros) – Kiel state department.

2011     PI, Multimodal analysis of directional interactions in oscillatory networks of the brain (45,000 Euros) – DAAD.


 2020      Vorrichtung und Verfahren zur Bestimmung einer Schlafapnoe “Kappe”, Patent number: DE 10 2019129288.3

 2019      Detection of Sleep stages “Schlafstadien”, Patent number: DE 10 2019 107 666.8

 2019      Motor Cortex Sensing Module “(MSCSM)” for Adaptive Bilateral Subthalamic Stimulation in Parkinson’s Disease, Patent number: U2000033


2020       Framework for Direct sleep stage analyses online and USB-dongle solutions


2020       Otto-Löwenstein-Forschungspreis, Federal Association for Rehabilitation

2019       Best poster Award, DGN Conference, Stuttgart

2019        Nominated for USERN prize 2019

2018        Editor’s paper of Choice June 2018 issue, Brain Journal

2017       Best Paper 2016 Award, Brain Topography Journal

2014       Best poster Award, DGKN Conference, Cologne

2011       Best poster Award, DGN Conference, Cologne


Since 2009      Member of IEEE, Engineering in medicine and biological society

Since 2014       Member of OHBM, Human Brain mapping organisation

Since 2016       Member of MDS, Movement disorder society

Scientific topics

2006 Mathematical methods for time series analysis and source analysis on oscillatory signals

2008       Function of oscillatory activity in central motor systems

2010       Biomedical statistics, connectivity analyses, multimodal signal processing and analyses of EEG, MEG, fMRI and EMG

2012       Structural and network analyses on anatomical MRI and DTI

2017       Functional network analyses on PET imaging

2017       Machine learning and deep learning

2018       Network analyses on proteomic and genomic data

2020       RNA, mRNA and Spatial transcriptomics

Research Collaborators

  • Prof. Rodger J. Elble, Southern Illinois University School of Medicine, USA
  • Dr. R. B. Govindan, Children’s National Health System, Washington, USA
  • Prof. Vince Calhoun, The University of New Mexico, Albuquerque, USA
  • Prof. Alfonso Fasano, Krembil Research Institute, Toronto, Canada
  • Prof. Michael Breakspear, QIMR Berghofer, Brisbane, Australia
  • Prof. Andrew Zalesky, University of Melbourne, Melbourne, Australia
  • Prof. Alfons Schnitzler, Heinrich Heine University, Dusseldorf, Germany
  • Prof. Dmitry Budker, Johannes Gutenberg University, Mainz, Germany
  • Prof. Thomas P. Burg, Technical university of Darmstadt, Darmstadt, Germany
  • Prof. Gertrud Tamas, Semmelweis University, Budapest, Hungary
  • Dr. Lars Michels, University of Zurich, Zurich, Switzerland
  • Prof. Stephane Perrey, University of Montpellier, Montpellier, France
  • Prof. Bahman Nasseroleslami, Trinity College University, Dublin, Ireland
  • Prof. Orla Hardiman, Trinity College University, Dublin, Ireland
  • Prof. Peter Brown, University of Oxford, Oxford, UK
  • Dr. Rick Helmich, Radboud University, Nijmegen, Netherlands
  • Prof. Abdulnasir Hossen, Sultan Qaboos University, Muscat, Oman

Invited Colloquia

August 2021    DBS Think Tank (Florida)
“Electrophysiology and neuroimaging for optimal deep brain stimulation”

June 2021     Dublin Electrophysiology Research Clinic (Dublin)
“Functional and effective connectivity to understand neurological disorders”

May 2021     International Workshop on Research Paradigms (Bangalore)
“Basics on Research Methodology”

September 2020     ICDSB (Jodhpur)
“Structural and functional network characterization of neurological disorders patients”

September 2020     DBS Think Tank (Florida, Virtual)
“Structural and functional network characterization for prediction of DBS patients”

March 2019     DPG-Kongress (Düsseldorf)
“Targeted neuromodulation of tremor networks for a more efficient DBS outcome”

October 2018     DGN-Kongress (Köln)
“Oscillatory changes in movement disorder patients”

September 2018      Computational Workshop (Mainz)
“Machine learning and statistics”

March 2018       DGKN-Kongress (Berlin)
“Structural and functional characterisation of movement disorder patients”

May 2017     Rhine-Main Neuroimaging Retreat (Hohensolms)
“Functional connecitivity analyses”

April 2017     DGKN-Kongress (Leipzig)
“Cortical-subcortical involved networks in tremor forms using EEG-EMG coherence analyses”

November 2017    MDS Congress teaching course (Budapest)
“Functional investigation of tremor networks”

Educational Activities

Since 2021    Lecture – “Diagnosis-selected cases in the neurology”
[Teaching Evaluation: Magna cum Laude]

Since 2020     Lecture – “Electrophysiology and imaging in the neurology”
[Teaching Evaluation: Magna cum Laude]

Since 2020     Lecture – “REM sleep disorders”
[Teaching Evaluation: Magna cum Laude]

Since 2019     Lecture – “Medical signal processing-Frequency-domain analyses”
[Teaching Evaluation: Magna cum Laude]

Since 2019     Lecture – “Machine learning and Deep learning analyses”
[Teaching Evaluation: Magna cum Laude]

Since 2019     Lecture – “Electrophysiological tools in neurology”
[Teaching Evaluation: Magna cum Laude]

2018     Computational Workshop (1 day) “Machine learning and neuroimaging analyses”
[Teaching Evaluation: Magna cum Laude]

2017      EEG Workshop (4 days) “EEG analyses”
[Teaching Evaluation: Summa cum Laude]

2016       Invasive and non-invasive stimulation methods (2 days) “TMS –EEG analyses”
[Teaching Evaluation: Summa cum Laude]

Since 2015     SPM Workshop (4 days) “MRI connectivity analyses”
[Teaching Evaluation: Magna cum Laude]

Since 2010      Lecture – Medical signal processing (8 semesters) “Time frequency analyses”
[Teaching Evaluation: Magna cum Laude]

2006 – 2010      MATLAB course (5 semesters) “Basic to advance programming in MATLAB”
[Teaching Evaluation: Magna cum Laude]

Supervision for PhD Students

From 09/20                  Dhanwin Baker
“Rapid Proteolytic Digestion (RaPiD) Method for Bottom-Up Proteomics”

From 09/19                  Hao Ding
“Electrophysiology and imaging in Parkinson disease patients”

From 04/17                  Manuel Bange
“Identification and characterization of functional networks targeted by deep brain stimulation in patients with Parkinson’s disease”

From 09/16                  Angela Radetz
“Identification of distinct functional and structural connectivity patterns of network compensation and repair in early autoimmune neuroinflammation”

01/16 – 11/20              Alexander Weise
“Entwicklung, Etablierung und Validierung eines neuartigen, humanen DNA Macroarray Chips zur Testung von Nahrungsmittelunverträglichkeiten Nutrigenomik”

08/15 – 12/19              Moritz Eidens
“Entwicklung, Etablierung und Validierung eines neuartigen, humanen DNA Macroarray Chips zur Erkennung einer Dihydropyrimidin-Dehydrogenase (DPD) Defizienz”

04/15 – 12/19              Venkata Chaitanya Chirumamilla
“Longitudinal functional network dynamics in healthy subjects and patients with neurologic diseases”

01/15 – 07/19              Nabin Koirala
“Structural network characterization in patients with movement disorders”

01/12 – 06/16              Kidist Gebremariam Mideksa
“Source analysis on simultaneously measured magnetoencephalography and electroencephalography signals of the brain in tremors and epileptic disorders”

01/11 – 12/14              Abdul Rauf Anwar
“Multimodal Analysis of directional interactions in oscillatory networks of the brain”

Supervision for MD-PhD Students

2021                             Hannah Kühne
“Resting state networks in Parkinson disease”

2021                             Tabea Marquardt
“Studies of effective cerebral connectivity and hand motor function in patients with Parkinson’s disease and healthy subjects.”

2021                             Nadine Lang
“Investigations of group classification by gait analysis in patients* with Parkinson’s disease, healthy persons of the same age and young healthy persons using a “machine learning” method.”

2021                             Stefanie Scheiter
“Increased migraine-free interval with multifocal repetitive transcranial magnetic stimulation”

2021                             Sebastian Malantantis-Ewert
“Arousal features on polysomnography predict excessive daytime
sleepiness in patients with obstructive sleep apnea”

2020                             Karla Kerber
“Effects of the single nucleotide polymorphism R345T in plasticity-related gene 1 on pre-attentional filtering processes in the human brain”

2019                             Marsha Hanif
“Respiratory arousals – Classification of obstructive sleep apnea (OSA) patients”

2019                             Nasser Oudeh
“Respiratory arousals – Entropy and machine learning algorithms”

2018                             Elena Schmitt
“Correlations between the severity of the obstructive sleep apnea (OSA) and the polysomnographic physiological signals- first night effect”

2018                             Tamara Bonertz
“TMS-EEG measurements to characterize neuronal excitability in the prefrontal cortex under pain conditioning”

2018                             Sanja Fassnacht
“Testing of the Support Vector Machine (SVM) algorithm for the classification of sleep stages in patients with rhonchopathy (with / without obstructive sleep apnea) – first night effect”

2017                             Philipp Tjarko Boekstegers
“Support Vector Machines – Differentiation of sleep stages using physiological signals”

2017                             Ali Abriani
“Classification of the severity of nocturnal respiratory impairment in patients with rhonchopathy using physiological signals, with particular attention to EEG entropy”

Supervision for Master theses

2021                             Loren Keshta
“Extracting gang patterns in Parkinson’s disease”

2020                             Mohammad Saleh Oshaghi
“RNA, mRNA and Spatial Transcriptomics”

2015                             Usman Jawed
“Topological and temporal analyses of network architecture in patients with Parkinsons disease”

2015                             Xiong Longfei
“Entropy and directionality analysis on EEG recording while driving a car”

2015                             Alexander Wutzke
“Cross-frequency coupling analysis on movement disorder patients”

2015                             Tauqeer Anjum
“Functional and effective brain connectivity analysis using resting state functional magnetic resonance imaging data”

2014                             Saurabh Kumar
“Dipole simulations with different phasic oscillatory signals”

2014                             Sven Jaschke
“Signal analyses on EEG recorded during driving a car”

2014                             Ahmet Emre Taser
“Detecting differences in ON and OFF condition during deep brain stimulation using EEG”

2014                             Praghajieeth Raajhen Santhana Gopalan
“EEG and MEG source analysis using a time domain beamforming approach”

2014                             Nabin Koirala
“Structural brain connectivity using diffusion tensor imaging”

2014                             Venkata Chaitanya Chirumamilla
“Analyzing structural brain morphometry changes using voxel based morphometry”

2012                             Pradeep Kuravi
“Correlation analysis on ensemble neuronal spike data”

2011                             Asad Khan
“Realistic head modelling for EEG source analysis”

2011                             Kidist Gebremariam Mideksa
“Simultaneous MEG and EEG signal analysis”

2010                            Abdul Rauf Anwar
“Partial directed coherence between EEG and EMG in tremor”

Supervision for Bachelor Theses

2020                             Vladi Kruk
“Deep learning for prediction of disease progression in PD patients”

2020                             Mohammad Saleh Oshaghi
“Differenzielles, alternatives Spleißen des Transkriptoms des krebsresistenten und hypoxietoleranten Blindmulls Nannospalax galili im Vergleich zur Ratte”

2011                             Marco Klein
“EEG signal analysis from DBS Parkinsonian patients”

2010                             Martin Nahrwold
“Exploring EEG data of patients with short term memory”