Welcome!
On this web-page you find information about my research and teaching activities.

@All
Interested in learning more about my scientific work?
Please check out the News, Research Interests and (short) Biography below.
Or follow the links in the Publications and  Research Projects boxes on the right.

@Students
Looking for interesting ideas and challenging topics for your bachelor, masters or diploma thesis?
Check the Fun Stuff 4 Students section please.

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Whats' Up & News

  • 2017.06 Students organized a Magic Tournament. The profits of the event have been donated to the Mosaik non-profit organization. Today, we got an overview about the amazing work the organization is doing.
  • 2017.05 Students from BRG Lichtenfels visited the lab (supported by GehirnZentrale)
  • 2017.04 Grant Writing - Fingers crossed 
  • 2017.03 We started contributing to EVA facial mouse project
  • 2017.01 rE(EG)map! project ended
  • 2016.12 NICHT-WISSEN project ended
  • 2016.10 New course: Scientific Computing Matlab

Fun stuff 4 students!

Hi students! Interested in doing a bachelor/master project/thesis in the areas of brain-computer interfacing (BCI), adaptive statistical signal processing or technology-mediated rehabilitation? Below you find a list of key-words that may inspire you. Drop me an email or stop by my office and we can discuss possible options and find the best fit for your experience, skills, and passions!

Brain-Machine Co-Adaptation | Online learning | Transfer learning | Deep Learning | Convolutional Neural Networks |Stationary subspace decomposition | Restricted Boltzmann Machines | Random Forests | Echo State Networks | Oculus Rift | NVIDIA 3D Vision | HTC Vive | Kinect | Phantom haptic device | LeapMotoin | Myo Armband | Raspberry Pi | Inverse mapping | Game-based training | Density estimation | Multi-class BCI | stroke rehab | Parkinson | Amythopic Lateral Sclerosis |  Game theory | Human-Computer Interaction | Electroencephalogram | Electrocorticogram | Electromyogram | brain oscillations | neuroscience | Nonlinear and nonstationary signal processing | Cerebral palsy | Affective computing | Mental state monitoring | Parkinson's disease | Software development | Computer Vision | Langage | Assistive technology | Model-based Optimization | App development | Wearable sensors | Data visualization 

Interested in developing technological aids and help persons with functional disability? Or interested in implementing new ideas to improve motor or cognitive neuro-rehabilitation? Opportunity to work in clinical setting (e.g. in cooperation with the Klinik Judendorf-Strassengel) or together with end-users (e.g. by agreement with the non-profit organization Mosaik)

Interested in contributing to the EVA facial mouse project?

Ever considered spending some time abroad? And work in an international team on software development and basic neuroscience? Think about it and let me know!

Teaching: Please visit the TUGonline webpage to see the list of my courses.

Research interests

Direct brain-computer interfacing based on EEG and ECoG signals

The primary goal of my research is to enhance usabilty and practicality of Brain-Computer Interfaces (BCIs) that are based on the detection of changes in the spontaneous bioelectrical brain activity (electroencephalogram, EEG and electrocorticogram, ECoG). I am especially interested in improving the self-paced operation mode, i.e., in developing BCI systems that allow the user to voluntarily modulate brain activity whenever the user wishes to issue a command. To enable such self-paced communication and provide on-demand access to the controlled device, the BCI needs to constantly analyze the user's ongoing EEG/ECoG activity. For a more reliable interpretation of the bioelectrical brain activiy, better models of brain function and methods for predicting behavioral induced brain activity are needed. Furthermore, effective and efficient training paradigms are needed. Using a BCI is a skill that a user must learn.

Statistical and adaptive signal processing

Many applications, including brain-computer interfacing (BCI), require extracting relevant information from noisy signals and/or interpreting the uncertain information. I am interested in model based estimation methods for time-varying systems and in developing estimators/controllers where adaptive features are needed to handle uncertainties. Moreover, I am interested in transfer learning and findings stationary subspaces in multivariate data.

Functional brain mapping and technology-mediated rehabilitation

Directed and early rehabilitation after brain injury (e.g. stroke) aims at promoting neuroplasticity, i.e., inducing (sub)cortical reorganization for minimizing motor impairment. Long term rehabilitation significantly improves motor function. Some unique contributions of robotic therapy versus conventional therapies are that robots can be used as valuable adjuncts to save time and energy for the therapist, making rehabilitation sessions more efficient, and that rehabilitation protocols can be very precisely tailored to individual patients with only as much assistance provided as needed. I am interested in studying the interplay between therapetic intervention, brain ativity pattern and functional outcome for improving motor rehabilitation.

(Short) Biography

Reinhold Scherer is Associate Professor and Deputy Head of the Institute of Neural Engineering at the Graz University of Technology, Austria. He is member of the Laboratory for Brain-Computer Interfaces (BCI-Lab) at Graz University of Technology and of the Institute for Neurological Rehabilitation and Research at the rehabilitation center Judendorf-Strassengel, Austria.

In 2008 he received his PhD in computer science from Graz University of Technology, where, beginning in 2001, he worked on non-invasive electroencephalogram-based (EEG) brain-computer interfacing (BCI). He spend the years from 2008 to 2010 as postdoctoral researcher at the Department for Computer Science & Engineering, University of Washington, Seattle, USA, and was member of the Neural Systems and the Neurobotics Laboratories at the University of Washington.

Contact
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©Fotostudio Sissi Furgler

Reinhold Scherer
Institute of Neural Engineering
Graz University of Technology
Stremayrgasse 16/IV
8010 Graz, Austria

email: reinhold.scherer AT tugraz.at
tel: +43 316 873 30713
fax: +43 316 873 30702

digital business card @ TUGRAZonline

Publications
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#1 TUGRAZonline
#2 Google Scholar
#3 ResearchGate
#4 Frontiers
#5 Mendeley
#6 ORCID

Research Projects
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#7 GehirnZentrale (FFG)
#6 JungforscherInnen auf den Spuren des Nichtwissen (Land Steiermark)
#5 rE(EG)map! (Land Steiermark)
#4 ABC (EC-FP7)
#3 bci4rehab (Land Steiermark)
#2 BETTER (EC-FP4)
#1 BrainAble (EC-FP7)