Secretariat Prof. Dr. Dario Farina
Seit 2003 bin ich an der "Universitätsmedizin Göttingen" der Georg-August-Universität tätig und war bis 2011 im Institut für Bioinformatik unter der Leitung von Prof. Dr. Edgar Wingender als Sekretärin beschäftigt. Seit 2011 leite ich das Sekretariat für Prof. Dr. Dario Farina "Institute of Neurorehabilitation Systems".
Prof. Farina´s Forschungsabteilung hat viele Gesichter und das Sekretariat trägt mit seinem Einsatz und seiner Motivation ein Stück dazu bei, dass das Große und Ganze gelingt. Als Organisationstalent unterstütze ich das Institut, dass die Arbeitsabläufe bei uns gut funktionieren, denn hier laufen viele Fäden zusammen. Nicht nur Verantwortung, Flexibilität, auch Lernbereitschaft, sind wichtige Voraussetzungen. Als verantwortungsvolle Mitarbeiterin habe ich eine Fülle von verschiedenen Aufgaben zu bewältigen. Das Sekretariat ist der Knotenpunkt dieser Abteilung und eine Chefentlastung muss von dort aus gezielt gesteuert und gewährleistet werden. So wird auch ein wenig entscheidend - zum Erfolg beigetragen.
Besonders wichtig ist mir eine gute Teamarbeit, die auf meine Unterstützung bauen und das stets eine verlässliche Leitung angeboten wird. Die Zusammenarbeit innerhalb einer so internationalen, multikulturellen wissenschaftlichen Gruppe aus aller Welt, macht mir jeden Tag aufs neue Spaß und gibt mir den Anreiz täglich neue Herausforderungen aktiv anzugehen.
Ich wünsche Ihnen viel Spaß beim Kennenlernen unseres Insituts und interessante Einblicke unserer Forschung.
DEMOVE Project Assistant
Susann Müller received her Master of Arts degrees in German literature and cultural studies from the Georg-August University 2009. After getting experiences in the public relation area and as editor, she worked as an assistant for information and communication at the Technoform Bautec Holding in Kassel from 2013-2015. In September 2015 she started to assist the DEMOVE project at the Institute of Neurorehabilitation Systems.
Director of the Institute
Dario Farina received Ph.D. degrees in automatic control and computer science and in electronics and communications engineering from the Ecole Centrale de Nantes, Nantes, France, (2001) and Politecnico di Torino (2002), respectively. After being a research scientist at the Laboratory for Neuromuscular System Engineering (LISiN) of Politecnico di Torino, he was an Associate Professor in Biomedical Engineering at Aalborg University, Aalborg, Denmark (2004-2008). At the same University, in 2008 he became Full Professor in Motor Control and Biomedical Signal Processing and the Head of the Research Group on Neural Engineering and Neurophysiology of Movement. In 2010 he was appointed Full Professor and Founding Chair of the Department of Neurorehabilitation Engineering at the University Medical Center Göttingen, Georg-August University, Germany, within the Bernstein Focus Neurotechnology (BFNT) Göttingen. In this position, he is also the Chair for NeuroInformatics of the BFNT Göttingen since 2010. Prof. Farina has been the President of the International Society of Electrophysiology and Kinesiology (ISEK) in 2012-2014 and he is currently Past President of ISEK. Among other awards, he has been the recipient of the 2010 IEEE Engineering in Medicine and Biology Society Early Career Achievement Award. His research focuses on neurorehabilitation technology, neural control of movement, and biomedical signal processing and modelling. Within these areas, Prof. Farina has (co)-authored more than 350 papers in peer-reviewed Journals and over 400 among conference papers/abstracts, book chapters, and encyclopedia contributions. He has been the (co-)Editor of the IEEE/Wiley books Introduction to Neural Engineering for Motor Rehabilitation (2013) and Surface Electromyography: Physiology, Engineering and Applications (2015). He is currently the Editor-in-Chief of the Journal of Electromyography and Kinesiology and an Associate Editor of The Journal of Physiology and of IEEE Transactions on Biomedical Engineering.
Andrés Úbeda is a postdoctoral research visitor from the Brain-Machine Interface Systems Lab at Miguel Hernández University of Elche (Spain). He holds a BSc in Industrial Engineering, an MSc in Bioengineering and a PhD in Bioengineering from the Miguel Hernández University of Elche in 2009, 2010 and 2014 respectively. His main research is focused on the use Brain-Computer Interfaces to study cortical involvement during human motion applied to lower-limb rehabilitation robotics. Other research lines include human-computer interaction and assistive technologies.
Associated Prof. Dr.
There are two main areas of research in my Neuroscience laboratory 1) the neural mechanisms of human walking and 2) the functional organization and operational principles of the motor cortex. We also study proprioceptive function and the relation between motor cortex circuitry and movement kinematic rules. I was trained in Physiology and Electrical Engineering. My approach to understanding how the brain initiates and controls movements spans many levels of description from the cellular to the behavioural. My training in electrical engineering is an important practical underpinning to these endeavors. Signal and systems analysis and the utilization of complex biomedical instrumentation figure prominently in the day to day activities of my laboratory. The lab is well equiped and furnished. It contains apparatuses ranging from optical imaging and multi-electrode recording systems to 6-D kinematic measurements. Human and animal neurophysiological experiments run in parallel in the lab. We use a wide variety of neuroscientific techniques such as single and muli-unit recordings, neuron staining, magnetic brain stimulation, mathematical modeling, etc. Optogenetic methods to study cortical function in mice are underway.
Margherita Castronovo received Ph.D. degree in biomedical engineering from the University of Bologna, Italy in 2014 and Master degree in Electronics Engineering from University of Roma Tre, Italy in 2010.
In 2014 she joined the Institute of Neurorehabilitation Systems as a post-doc. In 2015 she was the recipient of a Marie Curie individual fellowship for the project "NeuroN".
Her research activity mainly focus on the study of neurophysiological basis of motor control. In particular she focuses on the interactions between supra-spinal and spinal centers during movements and under neurological impairments such as stroke. She has also been focusing on the changes induced at spinal level during neuromuscular fatigue.
My current research interests include pattern recognition, manifold learning, kernel learning, sparse representation, image segmentation, image registration, information hiding, SAR/ISAR image processing, machine learning algorithms in pattern recognition, probabilistic graphical model theory etc. For examples: NMF+Spase coding, dictionary learning, L1-norm maximization based manifold learning, L1/L2-norm regularization based regressive manifold learning, NMF+LPP, GMM+LPP, etc.
Security adviser of the Institute of Neurorehabilitation Systems.
Diploma in Biology at the University of Göttingen (October 2010)
Strahinja Dosen received the Diploma of Engineering in electrical engineering and the M.Sc. degree in biomedical engineering in 2000 and 2004, respectively, from the Faculty of Technical Sciences, University of Novi Sad, Serbia, and the Ph.D. degree in biomedical engineering from the Center for Sensory-Motor Interaction, Aalborg University, Aalborg, Denmark, in 2008. Until 2011, Dr. Dosen was an Assistant Professor at the same Department. Currently, he is a Research Scientist at the Institute for Neurorehabilitation Systems, University Medical Center Göttingen (UMG), Germany. His main research interest is in the closed-loop control of movements and assistive systems, including prosthesis control, sensory feedback, functional electrical stimulation, and rehabilitation robotics. He is a member of the IEEE Engineering in Medicine and Biology Society and the IEEE Computer Society.
Janne Hahne received the Diploma degree in electrical engineering and the Ph.D. degree in computer Science from Berlin Institute of Technology (TU-Berlin), in 2008 and 2016. From 2008 to 2010 he was with the strategic technology management at Otto Bock HC. From 2010 to 2014 he was with the Machine Learning Group at TU-Berlin. Since 2014 he is working as a research scientist at the Institute of Neurorehabilitation Systems, Georg-August University, Göttingen. His main research interests include myoelectric control, adaptive signal processing, closed-loop prosthesis control, biosignal interfaces and machine learning.
Marko Markovic received the Master of Engineering degree at the University of Belgrade, Serbia, in 2011. He is working towards the PhD. degree at University Medical Center Göttingen (UMG), Göttingen, Germany. Between 2012 and 2014, he was employed as a Research Assistant at the Department of Neurorehabilitation Engineering, University Medical Center Goettingen, Germany. Currently, he is employed at Ottobock HealthCare GmbH as a MYOSENS-project Fellow. His research is focused on the evaluation and usage of upper limb prosthetic devices in closed-loop control scenarios. Specifically, these topics include: development of novel feedback modalities, and exploiting modern computer vision and sensor fusion algorithms for multi-functional prosthesis control.
Silvia Muceli received the M.Sc. degrees in Electronics Engineering from the University of Cagliari, Cagliari, Italy, in 2007, and the Ph.D. degree at The International Doctoral School in Biomedical Science and Engineering, Center for Sensory-Motor Interaction (SMI), Aalborg University, Aalborg, Denmark, in 2013. Since 2011, she is working as a researcher at the Institute of Neurorehabilitation Systems, University Medical Center Göttingen, Georg-August University, Germany, within the Bernstein Center for Computational Neuroscience (BCCN). Her main research interests concern surface and intramuscular electromyography, signal processing of biomedical signals, modularity in human motor control, advanced prosthetic control, and bioelectrode design. She received the Texas Instruments Excellence in Signal Processing Award in 2007.
|2011 ~ now||Research Scientist at Georg-August University, Goettingen, Germany.|
|2011||PhD degree in Biomedical Engineering at Aalborg University, Denmark|
|2009 ~ 2010||Research assistant at Aalborg University, Aalborg, Denmark.|
|2006 ~ 2009||Ph.D. student at Aalborg University, Aalborg, Denmark.|
|2005||M.Sc. in Telecommunication Engineering, Politecnico di Torino, Torino, Italy|
Major Research Interests
My research focuses on the study of the transmission of common synaptic inputs to alpha motor neurons and its effects on voluntary movements, both with computational and experimental approaches. Furthermore, I develop new processing methods for the analysis of EMG, EEG and force signals with applications in motor control in vivo in humans.
B.Sc. degree in Cognitive Science at the Eberhard Karls University Tübingen, Tübingen, Germany, 2014, M.Sc. degree in Intelligence and Movement at the University of Bielefeld, Bielefeld, Germany, in progress
M.Sc. in Communication Engineering from RWTH Aachen University, Germany. B.Tech in Electronics and Communication Engineering from Nirma University, India. Currently doing PhD on Semi-Autonomous Context-Aware Control for Hand Prostheses. Interests: 2D/3D Image Processing, Modular Machine Learning Algorithms, User & Situation Specific System Adaptation, Smart Prosthesis, etc.
Dr Massimo Sartori received his MSc degree in Computer Engineering (2007) and his PhD degree in Information and Communication Science and Technologies (2011) from the University of Padua, Italy. During his PhD he was a visiting student at the School of Sport Science, Exercise and Health, University of Western Australia and at the Neuromuscular Biomechanics Laboratory, Stanford University. In 2011, he spent a research period at the Centre for Musculoskeletal Research at the Griffith Health Institute, Griffith University in Australia. In 2013, Dr Sartori was a Visiting Scholar at the National Center for Simulation in Rehabilitation Research (NCSRR) at Stanford University. In 2014 he received a NCSRR OpenSim Fellowship. He currently is a guest associate editor in the IEEE Transactions on Biomedical Engineering and in the Frontiers in Computational Neuroscience. Dr Sartori’s research interests are at the intersection between movement neurophysiology, biomechanics and human-machine interfacing. Dr Sartori applies neuromusculoskeletal modeling and electrophysiological signal processing, in a translational way, to understand healthy and pathological human movement and to develop personalised neurorehabilitation technologies.
Meike A. Schweisfurth received her master in mathematics from the University of Cambridge, England, in 2008. She then entered an integrated MSc./PhD program in Neuroscience at the University of Göttingen, Germany, from which she obtained her PhD in Neuroscience in 2013. Until 2014, she continued working as a post-doctoral researcher at the Biomedizinsche NMR Forschungs GmbH at Max Planck Institute for Biophysical Chemistry and at the German Primate Center in Göttingen, focusing on exploration of the tactile modality through functional magnetic resonance imaging. In 2014, she joined the Institute of Neurorehabilitation Systems, UMG, Göttingen, Germany, as a post-doc. Her current research focuses on closed-loop-control of upper-limb prostheses, exploring both the improvement of forward control and the potential benefits of different feedback types, as well as on phantom-limb pain.
Antonietta Stango received the M.Sc. degree in electronics engineering from the University of L’Aquila, L’Aquila, Italy in 2003. From May 2004 to July 2005 she was a researcher with Radiolabs – "Consorzio Università Industria, Laboratori di Radiocomunicazioni", Roma.
She was a researcher with the Electronics Engineering Department of the University of Rome “Tor Vergata”, Roma, Italy, from August 2005 to February 2007. From March 2007 to June 2011 she was with "Wireless Security and Sensor Network Lab" of Aalborg University, Denmark. From October 2011 she is with the Institute of Neurorehabilitation Systems, University Medical Center Göttingen, Göttingen, Germany. Her research interests include myoelectric control of upper limb prosthesis and wireless transmission of biomedical signals.
Ivan Vujaklija received the Dipl.-Ing. degree in Electrical Engineering and Computer Science from the University of Belgrade, Serbia, in 2011 and M.Sc. degree in Biomedical Engineering from the University of Lübeck, Germany in 2013. Currently he pursues a PhD degree in human medical sciences at the University of Göttingen, Germany and works as a research assistant at the Institute of Neurorehabilitation Systems at the University Medical Center Göttingen, Georg-August University, Germany. His research interests include bio-signal processing, advance control algorithms, robotics, neurorehabilitation and neural control of movement.
Lin Yao received the Bachelor’s degree from School of Manufacturing Science and Engineering at Sichuan University, Sichuan, China, in 2009, and the Master and Ph.D. from School of Mechanical Engineering at Shanghai Jiao Tong University, Shanghai, China, in 2015. Now he is a research scientist in the Institute of Neurorehabilitation Systems, University Medical Center Goettingen, Georg-August University, Goettingen, Germany. His research interests include biomechatronics, BCI system designation based somatosensory attention decoding and augmentation of BCI system assisted with sensory stimulation, neurorehabilitation techniques for clinical applications.
- Master degree in Biophysics at Hacettepe University in 2006
- Bachelor degree in Physics Engineering at Hacettepe University in 2003
- PhD degree in Biophsics at Ege University in 2012
- Assistant Researcher at Marie Curie Chair, GenderReflex Project from 2007 to 2010
Major Research Interests
I am currently working on sensory motor interactions, motor control and biomechanics, and additionally. I have a strong interest on topics such as biosignal analyzing, computational biophysics/ modeling and electrophysiology.
Tamás Kapelner received MSc. and BSc. degrees in electrical engineering from the Budapest Technical University, Budapest, Hungary, (2012) and an MSc. degree in biomedical engineering from the Budapest Technical University and the Semmelweis University, Budapest, Hungary, (2013). Currently he is a PhD student at the Institute of Neurorehabilitation Systems, focusing on myoelectric control, biomedical signal and image processing, and biomechanical modelling.
Department for Nonlinear Dynamics
Max Planck Institute for Dynamics and Self-Organization, Göttingen Germany
Angela V. Dieterich is a Schlözer Research Fellow at the Pain Clinic of the University of Göttingen, Germany. Angela completed her PhD as a conjoint project of the School of Physiotherapy and Exercise Science and the Department of Imaging and Applied Physics at Curtin University, Perth, Australia, in 2013. She received her Bachelor of Science in Physiotherapy in 2006 at the University of Applied Sciences, HAWK Hildesheim, Germany, after having got German state accreditation as physiotherapist in 1987. Angela has an extensive clinical background. Her research focuses on the assessment of deep muscle activity using ultrasound imaging and elastography, with the aim to gain a better understanding of muscular changes with musculoskeletal pain, in particular during early stages of joint degeneration.
Deborah Falla received her PhD in Physiotherapy from The University of Queensland, Australia in 2003.
In 2005 she was awarded Fellowships from the International Association for the Study of Pain and the National Health and Medical Research Council of Australia to undertake postdoctoral research at the Center for Sensory-Motor Interaction, Aalborg University, Denmark.
From 2007 to 2010 she was an Associate Professor at the Faculty of Medicine, Department of Health Science and Technology, Aalborg University, Denmark. Since 2012 she is a Professor at the Center for Anesthesiology, Emergency and Intensive Care Medicine and Institute of Neurorehabilitation Systems, University Medical Center Göttingen, Germany.
Her research focus involves the integration of neurophysiological and clinical research to evaluate neuromuscular control of the spine in people with chronic pain. Her research interests also include motor skill learning and training for musculoskeletal pain disorders. In this field she has published over 80 papers in peer-reviewed Journals, more than 100 conference papers/abstracts and received the Delsys Prize for Electromyography Innovation in 2004.
She has given over 70 invited lectures and has provided professional continuing education courses on the management of neck pain to health practitioners in over 20 countries.
She is co-author of the book entitled "Whiplash, Headache and Neck Pain: Research Based Directions for Physical Therapies" published by Elsevier and translated into 4 languages and is Associate Editor of the journal Manual Therapy.
Since 2010 she is a Council member of the International Society of Electrophysiology and Kinesiology (ISEK).
Alessandro M. De Nunzio received Ph.D. degree in Physiological Sciences and Neuroscience from the University of Pavia, Pavia, Italy (2006). After being a researcher scientist at the Center for Motor Activities Studies (CSAM) of Salvatore Maugeri Foundation, Pavia, Italy he was a lab director at the Rheumatology and Rehabilitation Research Unit of the Salvatore Maugeri Foundation, Benevento, Italy and at Neurorehabilitation Unit of the Neurological Mediterranean Institute - NEUROMED, Isernia, Italy. He is currently a Marie Curie experienced researcher for the EU Project MYOSENS at the Department of Translational Research and Knowledge Management, Ottobock Healthcare, Duderstadt, Germany. His research deals with Phantom Limb Pain treatment, sensory integration, motor control and learning in normal and pathological human conditions with special interest in locomotion and dynamic posture. Within this area, Dr. De Nunzio has (co)-authored 20 papers in peer-reviewed Journals and several conference papers/abstracts. He is member of the American Physiological Society and IEEE Engineering in Medicine and Biology Society.
Founding Chair orthobionics
Dr. med. Influence metal ions on protein stability Charite Berlin 1979
Dr. sc. Stability of proteins 1988
Full Professor Biochemistry Humboldt-University Berlin 1994
Vice Dean of research Charite 1992-2005
Dean of the Medical Faculty and Spokesman of the Board of directors of university clinic Goettingen 2005-2012
Founding professor 'Orthobionics' 2012
Nan Ge received M.Sc. degree in Biomedical Engineering from Aalborg University, Denmark (2011).
From 2012 to 2013, Marie-Curie Fellow, Early Stage Researcher of EU project AMYO, in the Strategy Technology Management department of Ottobock Healthcare GmbH, Vienna, Austria.
From 2014 to 2016, researcher at Institute of Neurorehabilitation Systems, Bernstein Center for Computational Neuroscience (BCCN), University Medical Center Goettingen.
Marie Curie fellow
Dipl. Ing. in Electrical Engineering and Information TechnologyTechnical
University of Munich, Germany, 2008
B. Sc. in Electrical Engineering and Information Technology
Technical University of Munich, Germany, 2006
Main Research Interests
Application of electrical stimulation for sensory feedback in prostheses and its influence on myoelectric signals.