Welcome!

I am a researcher-teacher interested in advancing science and engineering in the neural engineering and assistive technology fields.

Interested in learning more about my scientific work? Please check out the info below or follow the links in the 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 just below please.

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, brain and body imaging, technology-mediated rehabilitation or assistive technology? Below you find a list of #key-words that may inspire you and #projects that you may want to join. 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!

#key-words  |  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 bracelet| 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 | Language | Assistive technology | Model-based Optimization | App development | Wearable sensors | Data visualization | Assistive Technology | Python

#project #OneInAMillion #assistive #technology #AT  |  Interested in developing technological aids and help persons with functional disability? Interested in implementing new ideas to improve motor or cognitive neuro-rehabilitation? Interested to get an 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 or Special Olympics [see picture below]). Then contribute the the #OneInAMillion project. The project webpage with more info will be online later this year.


Work at MOSAIC and with the Austrian Special Olympics bowling team (c) R. Scherer

#project #assistive #technology #AT  |  Interested in contributing to the EVA facial mouse project? Check this webpage for more info and let me know if you want to join the developer team.

#project #music #enthusiast  |  Interested in exploring the usefulness of BCI and music for rehabilitation? Check out this video. This work is in cooperation with Dr. Thomas Deuel, a musician and neurologist based in Seattle, WA.

#globetrotter  |  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

#brain-computer #interfacing - Thought-based interaction with the physical world  |  Brain-Computer Interfaces (BCIs) translate brain signals directly into action. Motor activity is no longer required. Thoughts trigger actions. BCI research aims at providing physically disabled people communication tools that allow them to live an independent life and remain part of society. The primary goal of my research is to enhance usability and practicality of BCIs that detect changes in spontaneous noninvasive electroencephalogram (EEG) rhythms. Ultimate goal is the development of a reliable brain-switch signal that allows users 24/7 on-demand thought-based access to communication technologies. Using a BCI typically requires training. I am interested in optimizing human-machine interaction and in finding effective and efficient training paradigms. For both, human and machine.

#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.

#mobile #brain and #body #imaging  |  A more comprehensive knowledge of neuro-oscillatory mechanisms will lead to better understanding and interpretation of brain rhythms. To this end, it is essential to isolate specific behavior and study the related rhythms individually. It is, however, also important to study the brain behaving naturally in familiar environments. I am interested in studying the behaving brain in natural environment.

#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 therapeutic intervention, brain activity pattern and functional outcome for improving motor rehabilitation.

#assistive #technology  |  How can we help people with disabilities to perform tasks and activities of daily living independently? I am interested in developing novel human-machine interaction technology that support the disabled and allows regaining some degree of independence.

(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)