جست‌وجوی استاد و پژوهشگر

• Neuroscience
• Motor Control
• Virtual Reality
• +۳ مورد دیگر

Andreas Wulff-Abramsson serves as a Special Consultant in the Department of Nutrition, Exercise and Sports at the University of Copenhagen, affiliated with the Movement and Neuroscience research group. His interdisciplinary work bridges neuroscience, virtual reality, and motor control, focusing on embodied learning applications and neural mechanisms of cognition and movement. His primary research interests include Neuroscience , Motor Control , Virtual Reality , Cognitive Science , EEG , and Embodied Learning . He investigates how virtual environments influence educational outcomes in children, neural correlates of motor function across age groups, and sensory processing mechanisms using EEG and VR methodologies. His experimental approach integrates cognitive psychology with advanced neuroimaging techniques to explore embodied cognition. Recent publications reveal a strong trend toward applied neuroscience, particularly VR-enhanced educational interventions for early literacy and detailed EEG analyses of motor control and sensory processing. His work consistently combines experimental rigor with innovative technology applications, spanning educational psychology, film cognition, and human-computer interaction domains. Wulff-Abramsson operates within the Movement and Neuroscience team at NEXS, which examines the intersection of physical activity, nutrition, and brain health. This group employs virtual reality systems, EEG recording, and motion analysis to investigate fundamental neural processes underlying movement and cognitive function across diverse populations.

Lawrence Snyderمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Spatial Representation
• +۵ مورد دیگر

Lawrence Snyder, MD, PhD is a Professor of Neuroscience at Washington University School of Medicine with extensive research in cognitive neuroscience using non-human primate models. His work focuses on the neural basis of cognition, particularly examining how spatial information is processed and transformed into motor commands. Dr. Snyder received his AB in English from Princeton University in 1982, followed by both his MD and PhD (in Physiology) from the University of Rochester in 1992. His academic journey reflects a unique interdisciplinary approach combining humanities with advanced medical and scientific training. His research interests center on understanding small neural circuits underlying cognition, with specific emphasis on spatial representation, memory systems, eye-hand coordination, and functional connectivity. The Snyder laboratory investigates how sensory spatial information is transformed into motor commands, examining neural representations of space in parietal and frontal cortices. His work has contributed significantly to understanding effector-specific versus effector-general memory systems, bimanual coordination mechanisms, and the neural correlates of functional connectivity observed in fMRI studies. Analysis of his recent publications reveals a consistent focus on neural mechanisms of spatial cognition, memory processing, and motor control. His work bridges electrophysiological recordings with functional imaging techniques, demonstrating how slow rhythmic mechanisms underlie functional connectivity and how spatial memory representations evolve over time. His research increasingly incorporates sensorimotor integration aspects into perceptual decision-making frameworks. 1998-1999 Washington University/Howard Hughes Medical Institute Award 1998-2000 Sloan Foundation Research Fellowship 2001 Klingenstein Fellow 2000-2024 National Eye Institute Investigator 2004 EJLB Foundation Scholar Research Programme Award Recipient 2009-2019 National Mental Heath Institute Investigator 2012-2017 Co-Director, Washington University Neuroscience Program 2014-2019 Editorial Board, Journal of Neurophysiology 2015-2018 Program Committee, Society for Neuroscience Dr. Snyder has maintained continuous NIH funding throughout his career, serving as Principal Investigator on National Eye Institute grants from 2000-2024 and National Institute of Mental Health grants from 2009-2019. His laboratory has trained numerous graduate students and postdoctoral fellows who have gone on to establish independent research careers. The Snyder lab has developed innovative techniques including oxygen polarography to simultaneously record oxygen levels across brain networks alongside LFP and spiking activity. The Snyder laboratory maintains a strong presence in the neuroscience community through regular participation in the Society for Neuroscience meetings and editorial service on prominent journals. His research continues to push boundaries in understanding how neural circuits support complex cognitive functions, with recent work exploring how sensorimotor faculties bias perceptual decision-making and choice behavior.

Gionata Salviettiمشاهده پروفایل

دانشیار

• Collaborative Robotics
• Assistive Devices
• Haptics
• +۳ مورد دیگر

Gionata Salvietti is an Associate Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena, specializing in collaborative robotics, assistive devices, and haptics. He serves as Associate Editor for IEEE Transactions on Robotics (since 2022) and IEEE Transactions on Haptics (since 2020), and leads major European research initiatives including the Erasmus+ project 'Immersive Surgical Edu' and PRIN project 'ARTIS'. Education: PhD in Information Engineering, University of Siena, 2012 Master's degree in Computer Engineering, University of Siena, 2009 Research Focus: Salvietti pioneers human-robot collaboration through haptic interfaces, developing wearable systems for surgical training and industrial applications. His work integrates virtual reality, augmented reality, and neurophysiological principles to enhance human performance in healthcare and manufacturing environments, with emphasis on quantifying user experience and sensorimotor control. Publication Trends: Recent work demonstrates convergence of haptics, immersive technologies, and soft robotics—evident in surgical training systems, warehouse automation tools, and neurorehabilitation techniques. Key themes include hand reflex analysis in human-robot interaction, stochastic resonance for motor control, and pneumatic soft grippers enabling new sensing modalities. Projects: Principal Investigator, Erasmus+ 'Immersive Surgical Edu' (2024-present) Principal Investigator, PRIN 'ARTIS' (2023-present) Teaching & Operations: Teaches Automatic Controls (Bachelor's level) and Industrial Robotics (Master's level) across academic years 2020-2026. Maintains active research laboratory (Lab. 237) with Tuesday office hours 2:00-5:00 PM, requiring email pre-appointment.

• Motor control
• Magnetic resonance imaging
• Human brain mapping
• +۶ مورد دیگر

Hartwig Roman Siebner is a Clinical Professor at the Department of Clinical Medicine, University of Copenhagen, with dual appointments in Neurology and Psychiatry. He serves as Head of Research at the Center for Functional and Diagnostic Imaging and Research, leading the Danish Research Centre for Magnetic Resonance (DRCMR) at Copenhagen University Hospital Hvidovre. His leadership extends to the "Control of Action" (ContAct) research group, which received a Lundbeckfonden Excellence grant (2011-2015). Dr. Siebner's research focuses on how the human brain generates and optimizes actions, combining advanced MRI with transcranial stimulation techniques to study motor brain systems. As a board-certified Neurologist, his clinical research centers on movement disorders like Parkinson's disease and focal dystonia. His work spans multiple research areas including Imaging of Disease & Mechanisms (which he coordinates), Computational & Systems Neuroscience, and Precision Brain Stimulation. His recent publications (2025) demonstrate diverse research interests spanning transcranial ultrasonic stimulation, chemogenetic motor control, mentalizing networks in high-risk children, auditory processing in psychiatric disorders, metabolic effects of dietary interventions, and computational modeling for brain stimulation. This reflects his interdisciplinary approach bridging neuroscience, psychiatry, and engineering. Lundbeckfonden Excellence Grant (2011-2015) for the "Control of Action" research group Dr. Siebner leads multiple research groups including Multiple Sclerosis, Control of Movement, Brain Network Modulation, and Brain-Body-Interaction. His research infrastructure at DRCMR supports advanced brain imaging studies using multimodal MRI approaches to investigate brain function and structure across various neurological and psychiatric conditions.

Clemens Maidhofمشاهده پروفایل

پژوهشگر ارشد

• Music Therapy
• Neuroscience
• Cognitive Neuroscience
• +۴ مورد دیگر

Clemens Maidhof is a Senior Research Fellow at the Cambridge Institute for Music Therapy Research within the Faculty of Arts, Humanities, Education and Social Sciences at Anglia Ruskin University. He joined the institution in 2016 after conducting research at the University of Cologne, Max Planck Institute for Human Cognitive and Brain Sciences, and the Finnish Centre for Interdisciplinary Music Research. He holds an MA in Musicology from the University of Cologne and a PhD in Psychology from Freie Universität Berlin. Research Focus: His work bridges cognitive neuroscience and music therapy, with core interests in: Neural dynamics of clinical improvisation during therapy sessions Brain-computer music interfaces for therapeutic applications EEG hyperscanning techniques in dyadic therapist-patient interactions Syntactic processing parallels between music and language Error monitoring mechanisms in musicians' performance Multimodal data acquisition (EEG, motion capture, MIDI) His research consistently applies neuroscientific methods to clinical contexts including dementia care, stroke rehabilitation, and substance misuse treatment. Publication Trends: Maidhof's recent work (2019-2023) focuses on EEG hyperscanning applications in music therapy, particularly examining brain synchrony during therapeutic improvisation for neurological conditions. Earlier publications (2010-2014) established foundational research on error processing in musicians and cross-domain syntactic attention. His methodology evolved from single-modality ERP studies to complex multimodal hyperscanning designs. Professional Engagement: He regularly reviews for journals including NeuroImage , Journal of Cognitive Neuroscience , and Frontiers in Psychology , and has presented at major conferences like the European Music Therapy Conference. He contributed to the BBC documentary Our Dementia Choir featuring clinical applications of his research.

Frank DiLibertoمشاهده پروفایل

دانشیار

• Biomechanics
• Muscle Performance
• Rehabilitation
• +۴ مورد دیگر

Frank DiLiberto, PT, PhD serves as an Associate Professor and Director of the Movement Analysis Laboratory in the Department of Physical Therapy at Rosalind Franklin University's College of Health Professions. His academic career integrates teaching, research, and clinical expertise with significant contributions to understanding biomechanics and sensorimotor control in foot and ankle pathology. Dr. DiLiberto earned his educational credentials through a progressive academic pathway: Bachelor of Science in Clinical Science and Master of Science in Physical Therapy from Ithaca College, followed by a Doctor of Philosophy in Health Practice Research from the University of Rochester. His professional development includes certification as an Orthopaedic Physical Therapy Specialist, now holding Emeritus status with the American Board of Physical Therapy Specialties. His research program focuses on biomechanics and rehabilitation, particularly investigating muscle performance, sensorimotor control, and outcomes in patients with foot and ankle pathology and diabetes mellitus. Current research directions examine biomechanics following total ankle replacement and mechanisms of foot pathology in diabetic populations. His work bridges basic science with clinical applications, demonstrating how biomechanical research directly informs physical therapy practice. Dr. DiLiberto's publication record reveals a clear trajectory from fundamental biomechanics research toward increasingly clinical applications, with recent work emphasizing diabetes-related complications and post-surgical outcomes. His 2024 publication on vestibular dysfunction in diabetes represents a novel expansion into neurological aspects of diabetic complications, showing the evolving nature of his research program. Fellow of the American Academy of Orthopaedic Manual Physical Therapists ABPTS Certified Clinical Specialist in Orthopaedic Physical Therapy (Emeritus status) Dr. DiLiberto has secured research funding from significant sources including the American Orthopaedic Foot and Ankle Society and Veterans Affairs, supporting his investigations into foot and ankle biomechanics. His teaching portfolio includes foundational courses in movement science, kinesiology, motor control, and critical inquiry, demonstrating his commitment to developing future physical therapy practitioners. As Director of the Movement Analysis Laboratory, he oversees a research facility dedicated to advancing understanding of human movement in both healthy and pathological conditions.

• Whiplash-associated disorders
• Neck rehabilitation
• Physical therapy
• +۶ مورد دیگر

Gunnel Peterson is a Researcher at Centrum för klinisk forskning i Sörmland (CKFD), affiliated with Uppsala University, specializing in rehabilitation approaches for whiplash-associated disorders. Her work focuses on comparative studies of internet-delivered versus traditional physiotherapy interventions, examining functional outcomes, pain management, and biomechanical aspects of neck disorders. Her research interests center on chronic whiplash-associated disorders, particularly investigating how neck-specific exercise programs affect pain, disability, and quality of life. She explores both traditional physiotherapy approaches and innovative internet-based rehabilitation solutions, with particular attention to work-related outcomes, dizziness management, and biomechanical changes in neck muscles. Her work bridges clinical practice with research methodology, emphasizing patient-centered outcomes and functional recovery. Analysis of her recent publications reveals a strong trend toward comparative effectiveness research, particularly examining whether internet-delivered rehabilitation can match traditional clinic-based approaches. Her work increasingly incorporates advanced methodologies including ultrasound imaging with speckle-tracking analyses to objectively measure muscle function changes. The research consistently focuses on practical clinical applications with emphasis on cost-effectiveness and healthcare access. While no specific scientific awards are mentioned in the available information, her extensive publication record in high-impact journals demonstrates significant scholarly contribution to the field of musculoskeletal rehabilitation. Dr. Peterson appears to be part of a well-established research team at CKFD focused on neck disorders and rehabilitation, collaborating extensively with Anneli Peolsson and other researchers. Her work often involves multidisciplinary approaches incorporating biomechanics, clinical assessment, and patient-reported outcomes to comprehensively evaluate rehabilitation interventions for whiplash-associated disorders.

• Music Psychology
• Music-Induced Movement
• Action-Perception Coupling
• +۲ مورد دیگر

Edith Van Dyck serves as a Postdoctoral researcher in systematical musicology/music psychology at IPEM, Ghent University, and lecturer in music history at the Royal Institute for Theatre, Cinema and Sound (RITCS), Erasmushogeschool Brussel. Her research centers on action-perception coupling in musical interaction, specifically examining how musical features and human emotions influence movement in contexts like dance, running, and walking. Research Focus: Her work bridges Music Psychology and Motor Rehabilitation, with core investigations into music-induced movement dynamics. Key projects include personalized music interventions for Parkinson's disease gait rehabilitation, entrainment of physical cadence to musical rhythms, and the social-cognitive aspects of musical performance. She employs interdisciplinary methods from psychology, neuroscience, and musicology to analyze embodied responses to auditory stimuli. Publication Trends (2019-2021): Recent articles reveal three dominant themes: (1) Clinical applications of music in neurological rehabilitation (particularly Parkinson's), (2) Real-world movement entrainment to music in activities like running and walking, and (3) Social dynamics of musical interaction during pandemic restrictions. Her collaborative work spans institutions including Montreal University and the University of Antwerp, emphasizing translational research from laboratory to therapeutic settings. Scientific Recognition: No formal awards or fellowships documented in source materials Academic Engagement: Active in editorial roles as Review Editor for Performance Science at Frontiers in Psychology, with no current information on grant funding or student supervision. Her network includes prominent researchers like Simone Dalla Bella (Montreal) and Jeska Buhmann (Antwerp). Research Environment: Core affiliation with Ghent University's Institute for Psychoacoustics and Electronic Music (IPEM), a leading center for empirical musicology. Collaborates extensively with clinical teams on rehabilitation projects and participates in international consortia studying music-movement relationships.

Paulo R. Dellaniمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Medical Imaging
• Brain Genomics
• +۲ مورد دیگر

Dr. Paulo R. Dellani serves as a Postdoctoral Researcher at the Research Center Jülich, affiliated with the Institute of Neuroscience and Medicine (INM-1), where he investigates structural and functional brain organization. His work integrates advanced neuroimaging techniques, artificial intelligence, and clinical neuroscience to explore brain architecture, connectivity, and pathology. His research interests encompass: Novel brain mapping methodologies Clinical neuroanatomy and genomic imaging Big data analytics for neural systems Diffusion tensor imaging and fiber tract analysis Neurodegenerative disorder biomarkers Recent publications demonstrate a strong focus on translational neuroscience, including MRI-based diagnostics for vestibular disorders, Alzheimer's disease biomarkers, and computational approaches to white matter tractography. Common themes include validation of imaging protocols, neuropathology characterization, and clinical application of quantitative neuroimaging techniques. Dr. Dellani contributes to the Bernstein Coordination Site and participates in teaching activities at universities. His laboratory develops tools and services supporting brain research, including the Julich-Brain atlas project.

Auke Ijspeertمشاهده پروفایل

استاد

• Robotics
• Computational Neuroscience
• Machine Learning
• +۲ مورد دیگر

Auke Ijspeert is a Full Professor at École Polytechnique Fédérale de Lausanne (EPFL), leading the Biorobotics Laboratory (BioRob). He earned a B.Sc./M.Sc. in physics from EPFL (1995) and a Ph.D. in artificial intelligence from the University of Edinburgh (1999). After postdoctoral work at IDSIA, EPFL, and the University of Southern California (USC), he returned to EPFL as an SNF assistant professor, becoming associate professor in 2009 and full professor in 2016. He holds primary affiliation with EPFL's Institute of Bioengineering and secondary affiliation with the Institute of Mechanical Engineering. 1995: B.Sc./M.Sc. in Physics, EPFL 1999: Ph.D. in Artificial Intelligence, University of Edinburgh 2002: SNF Assistant Professor, EPFL 2009: Associate Professor, EPFL 2016: Full Professor, EPFL His research explores the intersection between robotics, computational neuroscience, nonlinear dynamical systems, and machine learning. He develops robotic models to study animal locomotion principles and creates bio-inspired adaptive controllers. His work extends to assistive technologies like exoskeletons and smart furniture for mobility assistance. Notable publications include Science 2007 and 2014, and Nature 2019 with Nyakatura et al. He has received numerous awards, including: 2020: IEEE Fellow 2006: SNSF Professorship 1997: Marie Curie Scholarship 2024: IEEE ICRA Most Influential Paper Award 2019: CLAWAR Best Paper Prize 2018: SAB Best Conference Paper Award 2014: IEEE RO-MAN Best Paper Award 2007: IEEE Humanoids Best Paper Award 2002: ICRA Overall Best Paper Award Professor Ijspeert teaches courses in autonomous robotics, computational motor control, and legged robots at EPFL. He supervises numerous PhD students and contributes to editorial boards of leading journals in robotics and neuroscience. His laboratory investigates locomotion principles through robotic models and simulations, bridging biological understanding with technological innovation.

Shuran Songمشاهده پروفایل

استادیار

• Robotics
• Embodied Artificial Intelligence
• Robot Learning
• +۵ مورد دیگر

Shuran Song is an Assistant Professor of Electrical Engineering at Stanford University, with a courtesy appointment in Computer Science. She leads the Robotics and Embodied Artificial Intelligence Lab (REAL@Stanford), focusing on algorithms enabling robots to learn through physical interaction with the world. Her research spans manipulation, perception, and embodied AI, emphasizing generalizable skills for assistive robotics. Affiliations: Stanford University School of Engineering Labs: REAL@Stanford Research highlights include work on dexterous manipulation, deformable object handling, cross-embodiment learning, and robotic systems like TidyBot and ToddlerBot. Notable awards include Best Paper at ICRA 2024 and Amazon Robotics Best Systems Paper Award (2018). Key publications (2023-2025) address topics such as diffusion policies, embodiment generalization, and robot teaching interfaces. She teaches courses like EE/CS227 (Robot Perception) and leads workshops at top conferences (RSS, ICRA, CoRL).

• Rehabilitation Robotics
• Machine Learning
• Neuromechanics
• +۳ مورد دیگر

Yue Wen is an Assistant Professor at the University of Central Florida. His research focuses on rehabilitation robotics, machine learning, neuromechanics, and human-robot interaction. He holds a Ph.D. in Biomedical Engineering from the University of North Carolina at Chapel Hill and North Carolina State University, an M.S. in Control Theory and Engineering from Huazhong University of Science and Technology, and a B.S. in Automation from Wuhan University of Technology. His work integrates neural engineering and robotics to develop adaptive prosthetic systems and rehabilitation technologies. Key areas include real-time neural drive estimation using deep learning, haptic collaboration in motor tasks, and reinforcement learning for personalized prosthesis control. Recent studies explore exoskeleton interaction dynamics and virtual physical coupling in lower-limb robotics. Yue Wen has received the UNC/NC State Research Assistant Scholarship (2014–2019) and was a finalist in the EMBC Student Paper Competition (2015). His research bridges biomechanics, machine learning, and clinical applications, with a focus on improving gait symmetry and user interaction in robotic prosthetics.

• Motor Recovery
• Cortical Plasticity
• Stroke Rehabilitation
• +۳ مورد دیگر

Numa Dancause is a Professor in the Department of Neuroscience at the Université de Montréal, affiliated with the Faculty of Medicine. His research focuses on understanding post-stroke motor recovery, cortical plasticity, and the development of neuroprosthetic technologies. He leads multiple research initiatives, including the CIRCA (Interdisciplinary Research Center on the Brain and Learning) and collaborates on projects funded by agencies such as the Canadian Institutes of Health Research (CIHR) and the Natural Sciences and Engineering Research Council (NSERC). Education details are not explicitly provided, but his academic trajectory is evident through his extensive publication record and leadership in neuroscience. His research emphasizes the role of cortical reorganization in motor recovery, particularly the contribution of contralesional and ipsilesional hemispheres following ischemic lesions. He has supervised numerous graduate students, including Ian Moreau-Debord and Boris Touvykine, whose theses address topics like cortical interactions and neuroprosthetic interventions. Key research themes include the use of transcranial magnetic stimulation (TMS), functional ultrasound imaging, and Bayesian optimization for personalized neurostimulation protocols. His work bridges basic neuroscience with clinical applications, aiming to improve stroke rehabilitation through advanced technologies. Notable grants include leadership roles in the UNIQUE initiative (Neurosciences and Artificial Intelligence Québec consortium), CanStim (Canadian Neurostimulation Platform), and infrastructure projects for neurophysiological research facilities. Collaborations span institutions like the CRIR (Rehabilitation Research Institute) and involve interdisciplinary teams in both academia and industry. Labs and teams include the CIRCA and the Dancause Lab, focused on motor system recovery post-stroke. Future work emphasizes adaptive neuroprosthetics, AI-driven stimulation protocols, and translational research to accelerate clinical applications.

• Cognitive Neuroscience
• Auditory-Motor Learning
• Music Therapy
• +۳ مورد دیگر

Simone DALLA BELLA is a Professor at the Université de Montréal, affiliated with the Faculty of Arts and Sciences and the Department of Psychology. He holds the Canada Research Chair in Music Auditory-Motor Skill Learning and New Technologies. His primary research focuses on cognitive and neural mechanisms underlying musical perception and performance, with a particular emphasis on rhythmic abilities in healthy individuals and clinical populations (e.g., Parkinson’s disease, ADHD). He co-directs the BRAMS laboratory (International Laboratory for Brain, Music and Sound Research) and explores applications of rhythmic and auditory-motor interventions for neurological and movement disorders. Research Interests: Dr. Dalla Bella investigates how rhythmic and temporal predictions influence language processing, motor coordination, and rehabilitation. His work integrates behavioral methods, EEG, motion capture, and wearable technologies to assess and train rhythmic skills. Key areas include: 1) rhythmic deficits in clinical populations, 2) music-based rehabilitation for Parkinson’s disease, 3) neural correlates of auditory-motor synchronization, and 4) cross-modal temporal processing. Key Projects: Recent grants include studies on rhythmic learning in immersive environments, neurostimulation and music effects on mood, and the role of rhythm in speech production. Collaborations involve interdisciplinary teams addressing intersectorial challenges in neuroscience and health. Labs/Teams: Co-director of BRAMS and member of CRBLM (Centre for Research on Brain, Language and Music). His work bridges cognitive neuroscience, audiology, and physical medicine, with applications in neurorehabilitation and motor training.

• Systems Neuroscience
• Vocal Learning
• Neural Networks
• +۴ مورد دیگر

Prof. Richard Hahnloser is a Full Professor at ETH Zürich's Department of Information Technology and Electrical Engineering, affiliated with the Institute for Neuroinformatics. He holds a PhD in Physics from ETH Zurich (1999, awarded the ETH Medal) and conducted postdoctoral research at MIT, Howard Hughes Medical Institute, and Bell Labs. His research focuses on neural mechanisms underlying vocal learning in songbirds, particularly auditory-motor signal processing and synaptic plasticity in neural networks. Education: Physics studies at ETH Lausanne and Zurich (Diploma 1996, PhD 1999). Career highlights include roles as a Swiss National Science Foundation Professor (2004–2007) before becoming a Full Professor at ETH Zurich in 2007. He explores interdisciplinary approaches combining experimental neuroscience, theoretical modeling, and bioimaging. Research interests include decoding neural networks of song systems, studying motor control via X-ray CT and Neuropixels recordings, and applying machine learning to vocal behavior analysis. Recent work highlights vocal plasticity, sleep-related neural dynamics, and neurotechnology for chronic neural recording. Notable achievements include the ETH Medal for his PhD and contributions to understanding syrinx anatomy and sensorimotor adaptation. His lab develops tools like MODOC for scientific text analysis and employs correlative microscopy techniques to study neural circuits.