جست‌وجوی استاد و پژوهشگر

• Motor Control
• Motor Development
• Neurological Rehabilitation
• +۳ مورد دیگر

Shannon Ringenbach is an Associate Professor at Arizona State University's College of Health Solutions, leading the Sensorimotor Development Research Lab. Her work focuses on Assisted Cycle Therapy (ACT) for neurological populations including Down syndrome, ADHD, ASD, and stroke survivors. Ph.D. in Motor Control/Motor Development, Purdue University (1998) M.Sc. in Human Biodynamics, McMaster University (1993) B.Pe., McMaster University (1991) Research interests span motor-cognitive interactions, neurological rehabilitation, and physical activity interventions. ACT studies show improvements in executive function, manual dexterity, and cardiorespiratory fitness across neurodiverse populations. Recent publications highlight ACT applications for sleep disorders, motor planning, and cognitive enhancement in Down syndrome. Awards include NASPSPA's Excellence in Research (2015), Devils Advocates' Apple Polisher (2015), and multiple ASU teaching recognitions. 2018 Outstanding Educator of the Year 2016 Outstanding Doctoral Mentor nomination 2015 Excellence in Research Award 2014 Super Mentor, BUILDing SCHOLARS Grant She teaches KIN 345 (Motor & Developmental Learning) and KIN 422 (Motor Control/Spcl Populations), advising Barrett Honors theses and graduate researchers. Her lab integrates neuroscience with clinical interventions, supported by NIH and World Down Syndrome Congress grants.

• Biomechanics
• Sports Biomechanics
• Muscle Activation
• +۹ مورد دیگر

Patrick Rider is a Lecturer and Assistant Department Chair in the Department of Kinesiology at East Carolina University's College of Health and Human Performance. His research focuses on biomechanics, sensorimotor integration, and physical activity patterns. University: East Carolina University Department: Kinesiology Academic Rank: Lecturer Rider's research spans sports biomechanics, virtual reality-based balance assessment, and neuromechanics of fatigue and concussion. He investigates how training history affects joint mechanics, ligament properties in athletes, and the role of visual attention in sports performance. His recent publications highlight advancements in EMG modeling, physical activity dynamics, and high-intensity weightlifting biomechanics. Themes include neural signatures of fatigue, kinematic adaptations in distracted movements, and ligament stiffness responses. East Carolina Alumni Association Outstanding Teaching Award Finalist, 2016 Robert L. Jones Teaching Award Finalist, 2016 Rider has secured grants from the National Science Foundation (NSF) and Office of Naval Research for biomechanical studies. His service includes leadership roles in the American Society of Biomechanics and National Biomechanics Day presentations.

Adrien Doerigمشاهده پروفایل

استاد مهمان

• Computational Neuroscience
• Cognitive Neuroscience
• Machine Learning
• +۵ مورد دیگر

Adrien Doerig is a Visiting Professor in the Department of Education and Psychology at Freie Universität Berlin, where he leads research in the Cognitive Computational Neuroscience Lab. He is also affiliated with the Bernstein Center for Computational Neuroscience. His work bridges cognitive science, computational modeling, and neural mechanisms of perception. Doerig's research focuses on the intersection of computational neuroscience and artificial intelligence, with particular emphasis on visual perception, consciousness, and the development of biologically plausible neural network models. His work explores how the brain processes visual information, with special attention to phenomena like crowding, feature integration, and the temporal dynamics of perception. He has made significant contributions to understanding the limitations of convolutional neural networks for modeling human vision and has pioneered work on topographic neural networks that better capture cortical organization. A key trend in Doerig's recent publications is the exploration of connections between language models and visual processing in the brain. His groundbreaking 2025 Nature Machine Intelligence paper demonstrated that large language model representations align closely with visual representations in the human brain, opening new avenues for using language-based AI in modeling biological visual processing. His work consistently challenges existing paradigms while developing more biologically plausible computational frameworks. Doerig teaches a wide range of courses including Master's in Cognitive Neuroscience, Probability and statistical modeling (both theoretical and practical with focus on ANNs and neuroimaging), Introduction to programming, Applied computational cognitive neuroscience, and specialized courses on vision, language, affective & social neuroscience, and consciousness. He also supervises graduate students through the Cognitive Computational Neuroscience Lab, which includes postdocs, predocs, master's students, and interns working on cutting-edge research questions at the intersection of cognitive science and machine learning.

• Quantitative Linguistics
• Speech Production
• Articulatory Speech Synthesis
• +۴ مورد دیگر

Konstantin Sering is a researcher at the University of Tübingen within the Faculty of Philosophy, specifically working at the Seminar for Linguistics as part of the Quantitative Linguistics group. His academic journey bridges physics and psychology with computational linguistics, culminating in his 2023 PhD thesis on the PAULE (Predictive Articulatory speech synthesis Utilizing Lexical Embeddings) model. He maintains active collaborations with the Cognitive Modeling Group led by Martin V. Butz and the Quantitative Linguistics Group led by Harald Baayen. Sering's research interests center on the computational modeling of human speech production, with particular focus on the articulatory aspects of language. He approaches spoken language from the perspective of computer-aided modeling and simulation, extending the VocalTractLab model to produce spontaneous human speech. His work emphasizes the information-bearing nature of language over its meaning-bearing aspects, investigating how language signals contextual states and conditions. He combines artificial neural networks with predictive forward approaches to model vocal tract control parameters across multiple target spaces, including meaning and acoustic representations. Analysis of Sering's publication record reveals a consistent trajectory in articulatory speech synthesis and quantitative linguistics. His work demonstrates increasing sophistication in modeling the human speech apparatus, with recent publications focusing on improving the PAULE model through speech/non-speech classification, somatosensory feedback integration, and benchmarking methodologies. His research spans both theoretical computational linguistics and practical applications, with strong connections to cognitive science and psycholinguistics. The publications show interdisciplinary collaboration across linguistics, computer science, and cognitive psychology. Sering actively contributes to the academic community through teaching and software development. He has taught courses including Introduction to Psycholinguistics, Physics of Human Speech Production, and seminars on Predictive Articulatory Speech Synthesis. As software author and maintainer, he has developed several important tools for the field: Articubench (an articulatory speech synthesis benchmark), PAULE (his namesake speech synthesis model), create_vtl_corpus, and contributions to pyndl and other packages. His technical expertise spans Python, R, and specialized instrumentation for speech analysis. Based in room 188 at Keplerstr. 2 in Tübingen, Sering maintains an active research program with regular publications and software releases since 2013. His work environment benefits from the resources of the University of Tübingen's linguistics infrastructure and collaborative opportunities across disciplines.

Shirley Rietdykمشاهده پروفایل

استاد

• Biomechanics
• Motor Control
• Gerontology
• +۴ مورد دیگر

Dr. Shirley Rietdyk is a Professor in the Department of Health and Kinesiology at Purdue University, with courtesy appointments in the School of Mechanical Engineering and the Department of Speech, Language, and Hearing Sciences. Her research focuses on balance and mobility across adulthood, emphasizing fall prevention through experimental and modeling approaches. She holds a PhD from the University of Waterloo (1999). Director of DEI Committee for Health and Kinesiology (2023-present) Co-developed service-learning course with Dr. Haddad involving intergenerational work with older adults at University Place Recipient of National Science Foundation grants and other funding for research and entrepreneurship Authored >50 scientific papers, 100+ conference presentations, and a patent for postural sway analysis Research interests include: - Biomechanics of adaptive locomotion - Motor control during obstacle negotiation - Aging-related changes in gait stability - Interactions between sensory systems and movement Media features include CNBC, NPR, and ABC Radio Australia. Her Biomechanics Lab focuses on translating findings into fall-prevention interventions. Current projects explore relationships between physical activity, gait efficiency, and environmental risk assessment.

Julius P.A. Dewaldمشاهده پروفایل

استاد

• Neurorehabilitation
• Motor Control Disorders
• Stroke Recovery
• +۳ مورد دیگر

Julius P.A. Dewald is a Professor of Biomedical Engineering, Physical Therapy and Human Movement Sciences, and Physical Medicine & Rehabilitation at Northwestern University's McCormick School of Engineering. He leads the Neuroimaging and Motor Control Laboratory, focusing on motor dysfunction post-stroke and cerebral palsy. His work integrates neuroimaging (EEG, MRI, fMRI), robotics, and pharmacological interventions to advance rehabilitation science. Education: BS: Physical Therapy and Rehabilitation Medicine (Vrije Universiteit Brussel, 1978) MS: Neurophysiology and Rehabilitation Medicine (Vrije Universiteit Brussel, 1980) PhD: Neurophysiology & Biophysics (Loma Linda University, 1992) Research Focus: Quantifying motor impairments, cortical reorganization, neural-machine interfaces, and clinical outcome correlations. Key areas include stroke recovery mechanisms, spastic cerebral palsy, and robotic device development for rehabilitation. Funding & Impact: Supported by NIH, NIDRR, and AHA. His lab operates a national cerebral palsy research registry and develops low-cost clinical tools like the Isometric Force Pillow. Lab Team: Collaborates with faculty and PhD students in Biomedical Engineering and Rehabilitation Science, advancing translational research from bench to clinic.

Eric J. Perreaultمشاهده پروفایل

استاد

• Neuromuscular Control
• Motor Control and Rehabilitation
• Biomechanics
• +۴ مورد دیگر

Eric J. Perreault serves as Vice President for Research and holds dual professorships in Biomedical Engineering and Physical Medicine and Rehabilitation at Northwestern University's McCormick School of Engineering. His research focuses on neuromuscular control mechanisms, rehabilitation strategies, and biomechanics of movement disorders. He leads the Neuromuscular Control and Plasticity Lab, integrating experimental, computational, and machine learning approaches to improve functional recovery for individuals with motor deficits. Education: Ph.D. Biomedical Engineering, Case Western Reserve University (Cleveland, OH) M.S. Electrical Engineering, McGill University (Montréal, PQ) B.S. Electrical Engineering, McGill University (Montréal, PQ) Key research areas include understanding neural adaptations post-stroke, spinal cord injury recovery, and proprioceptive deficits in cancer survivors. His work bridges fundamental neuroscience with clinical applications in rehabilitation engineering. He is affiliated with the Master of Science in Robotics Program. Recent publications highlight advancements in quantifying musculoskeletal impedance, neural control strategies, and machine learning applications in neurorehabilitation. His interdisciplinary approach addresses both basic science and translational challenges in restoring motor function.

Ferdinando Mussa-Ivaldiمشاهده پروفایل

استاد

• Biomedical Engineering
• Neuroprosthetics
• Robotics
• +۵ مورد دیگر

Ferdinando Mussa-Ivaldi is a Professor of Physiology, Physical Medicine & Rehabilitation, and Biomedical Engineering at Northwestern University's McCormick School of Engineering. He is affiliated with the Rehabilitation Institute of Chicago (RIC) and the Master of Science in Robotics Program. His research focuses on bi-directional brain-machine interfaces, assistive robotics, and sensory-motor learning mechanisms. Key projects include developing adaptive body-machine interfaces for spinal injury patients, studying neural plasticity in motor adaptation, and understanding temporal representation in the nervous system. Research interests span computational models of motor primitives, haptic perception under delays, and robotic rehabilitation tools. His work bridges neuroscience, robotics, and biomedical engineering to advance assistive technologies and neurorehabilitation. Notable contributions include studies on force control, internal models of limb dynamics, and the design of immersive virtual environments for training. Current affiliations include leadership roles in the Robotics Laboratory at RIC, where he investigates human-robot co-adaptation and clinical applications of body-machine interfaces. His interdisciplinary approach integrates clinical needs with advanced engineering solutions to enhance motor recovery and assistive device control.

William Rymerمشاهده پروفایل

استاد

• Neural Control
• Movement Mechanics
• Neurological Disorders
• +۳ مورد دیگر

William Rymer is a Professor of Physical Medicine and Rehabilitation and Biomedical Engineering at Northwestern University's McCormick School of Engineering. He leads the Single Motor Unit Laboratory, focusing on neural control and mechanics of movement in neurologically impaired populations. His research integrates electrophysiological, pharmacological, and morphological techniques to understand spinal cord injury effects and develop interventions for spasticity and motor dysfunction. Key research areas include spinal cord injury rehabilitation, stroke recovery mechanisms, and neuromodulation strategies. He pioneered studies on acute intermittent hypoxia's role in enhancing neural plasticity and motor learning in spinal cord injury and stroke survivors. His work also explores biomechanical adaptations through wearable robotics and constraint-based therapies to improve gait symmetry and functional outcomes. Recent studies emphasize quantifying spasticity dynamics, developing biomarkers for motor impairment, and combining neuromodulation with robotics for precision rehabilitation. His lab collaborates across disciplines to translate basic neuroscience discoveries into clinical tools, including novel assessment protocols and wearable sensor systems. Rymer's research has led to innovations in rehabilitation engineering, such as force-vector-based spasticity measurement systems and machine learning models for predicting muscle torque from mechanomyograms. These advancements aim to personalize neurorehabilitation interventions based on individual patient neurophysiological profiles. His work bridges clinical practice and engineering, addressing unmet needs in neurorehabilitation through rigorous mechanistic studies and translational technologies. Ongoing projects explore optimal timing of rehabilitation interventions post-injury and the role of corticospinal plasticity in motor recovery.

Bradley Hatfieldمشاهده پروفایل

استاد

• Exercise and Brain Aging
• Human Performance
• Brain Dynamics
• +۵ مورد دیگر

Bradley Hatfield is a Professor in the Department of Kinesiology at the University of Maryland. His research focuses on brain dynamics related to motor skill learning, performance under stress, exercise neuroscience, and aging. He also holds an affiliation with the Center on Aging. Education: B.P.E., Physical Education, 1974 – University of New Brunswick BA, Psychology, 1975 – University of New Brunswick MS, Kinesiology, 1976 – Pennsylvania State University PhD, Kinesiology, 1982 – Pennsylvania State University M.S.A., Administration, 1983 – Ohio University Research Interests: His studies examine the neurophysiological mechanisms of human performance in sport, military, and aging populations. Key themes include cognitive-motor integration, mental workload assessment, and the impact of exercise on brain health. He has pioneered work on EEG-based neurofeedback interventions for enhancing athletic performance and stress resilience. Publications: Recent work explores neurocognitive mechanisms in expert performance (e.g., golfers, marksmen), the effects of mental preparation on motor output, and cognitive workload assessment in challenging environments like firefighting simulations and dual-task walking for amputees. His articles consistently bridge neuroscience with applied kinesiology. Awards: No specific awards listed, but his extensive publication record and academic leadership indicate significant contributions to the field. Grants & Advising: While specific grant details are not provided, his research themes suggest involvement in projects funded by military, athletic, and aging-related agencies. No student advisees are listed in available materials. Labs & Teams: Affiliated with the Center on Aging at UMD, collaborating on exercise neuroscience and brain aging research.

Tim Kiemelمشاهده پروفایل

عضو هیئت علمی

• Neural Control of Movement
• Biomechanics
• Neuroscience
• +۴ مورد دیگر

Tim Kiemel is an Associate Research Professor in the Department of Kinesiology at the University of Maryland’s School of Public Health. His research focuses on the neural control of movement, particularly in human locomotion and swimming in lampreys. He develops system-level models to elucidate neural mechanisms and employs empirical data to validate these models. Key areas include postural control, sensorimotor integration, and multisensory reweighting, with applications to aging populations and clinical rehabilitation. His work bridges neuroscience, biomechanics, and control theory, addressing topics like motor synergy in human collaboration, error correction in walking, and the impact of sensory deficits (e.g., vestibular dysfunction). He collaborates across disciplines, integrating experimental and computational approaches to understand neural and biomechanical systems. Recent studies highlight advancements in understanding how humans adapt sensory inputs (e.g., vision, touch) to maintain balance and movement precision, particularly in challenging environments or aging adults. His lamprey research explores spinal cord circuitry and locomotor rhythm generation, offering insights into vertebrate motor control evolution. Key contributions include tools to quantify functional impairments like oscillopsia and frameworks for modeling sensory fusion dynamics. His work emphasizes translational applications, such as improving fall prevention strategies and clinical assessments of motor function.

Lynette A Jonesمشاهده پروفایل

عضو هیئت علمی

• Haptic interfaces
• Thermal displays
• Skin mechanics
• +۷ مورد دیگر

Lynette A Jones is a Senior Research Scientist in the Department of Mechanical Engineering at the Massachusetts Institute of Technology (MIT). She has been with MIT since 1994 and leads the Cutaneous Sensory Lab, which develops tactile, haptic, and thermal displays for diverse applications. Prior to MIT, she was a tenured Associate Professor in the Faculty of Medicine at McGill University. Education: B.A. in Psychology, University of Auckland, 1976 M.A. in Psychology, University of Auckland, 1978 Ph.D. in Psychology, McGill University, 1983 Research Interests: Dr. Jones specializes in haptic and tactile interface design, thermal display development, and skin mechanics. Her work bridges human-machine interaction, focusing on cutaneous communication systems and vibrotactile pattern recognition. She employs psychophysics, biomechanical modeling, and multisensory integration to advance wearable haptic technology. Key Article Trends: Her recent publications emphasize thermal and vibrotactile actuation methods, multisensory display integration, and MR fluid-based haptic devices. Themes include tactile perception, sensorimotor control, skin biomechanics, and applications in wearable technology and biomedical engineering. Scientific Awards: Meritorious Service Award, IEEE Transactions on Haptics, 2009 Fellow of the IEEE, 2018 IEEE Technical Committee on Haptics Distinguished Service Award, 2021 Professional Contributions: Dr. Jones has served as Editor-in-Chief of IEEE Transactions on Haptics (2014-2019), Chair of the IEEE Transactions on Haptics Management Committee (2023-present), and in multiple editorial and national committee roles. She is integral to MIT's Graduate Admissions and Postdoctoral Fellowship committees. Laboratory: The Cutaneous Sensory Lab at MIT employs a systems-level approach to haptic display development, including actuator characterization, skin mechanics analysis, and psychophysical user studies. The lab's work has been adopted in academic and industrial research on robotic swarms and soldier safety systems.

• Motor Control
• Neuroscience
• Neural Plasticity
• +۷ مورد دیگر

Jonathan Shemmell is a Senior Lecturer at the School of Medical, Indigenous and Health Sciences, University of Wollongong, since 2021. His research focuses on understanding and enhancing sensorimotor nervous system plasticity to improve movement and balance, particularly through the study of cortical and subcortical contributions. He leads the Neuromotor Adaptation Laboratory, equipped with advanced systems for 3D motion capture, neurophysiological recording, and nervous system stimulation. Additionally, he co-directs the Neuromechanics Hub, emphasizing interdisciplinary collaboration with clinicians and engineers. His teaching interests include human neuromechanics, sensorimotor control, and healthy aging. He coordinates the course MEDI258 and has taught MEDI330 and MEDI151. He currently supervises PhD students exploring neurophysiological correlates of balance control and supraspinal contributions to postural adjustments during movement. Dr. Shemmell has secured funding for projects such as the AI-assisted Obstacle Detection and Guidance System for Blind and Vision-Impaired People (2023-2024) and equipment grants for neurophysiological studies. His work bridges basic neuroscience with clinical applications, aiming to develop neuromodulation techniques for stroke rehabilitation and musculoskeletal disorders.

Ethan Gahtanمشاهده پروفایل

استاد

• Neuroscience
• Evolutionary Psychology
• Philosophy of Psychology
• +۳ مورد دیگر

Ethan Gahtan is a Professor of Psychology at Humboldt State University and an Adjunct Professor of Biology. He holds a PhD in Cognitive and Biological Psychology from the University of Minnesota (1999), with a minor in psychoneuroimmunology, and a BA in Psychology from Macalester College (1993). His research focuses on molecular and neural circuit mechanisms underlying behavior and neurological disease, with secondary interests in evolutionary psychology. He has been a long-standing member of Humboldt’s Institutional Review Board (IRB) and Institutional Animal Care and Use Committee (IACUC). His research spans behavioral neuroscience, including studies using zebrafish models to investigate neural circuits involved in sensory-motor integration, stress responses, and neurodegenerative diseases like Parkinson’s. He has received significant funding, including a National Science Foundation grant for studying sensorimotor pathways (2008–2014) and a McCrone Promising Faculty Award (2007). His work combines experimental approaches with computational modeling, such as graph theoretical analysis of neural networks. Key contributions include identifying reticulospinal neuron roles in prey capture behaviors, elucidating glucocorticoid resistance mechanisms, and developing optical techniques for neural circuit probing. His interdisciplinary projects bridge molecular, behavioral, and computational neuroscience, with implications for understanding both normal brain function and disease states.

Paula Silvaمشاهده پروفایل

دانشیار

• Complexity Science
• Ecological Psychology
• Human Performance
• +۳ مورد دیگر

Paula Silva is an Associate Professor and Co-director of graduate training in the Psychology Department at the University of Cincinnati, and a primary faculty member of the Center for Cognition, Action & Perception. She holds a PhD in Experimental Psychology from the University of Connecticut (2009) and prior academic roles include Professor of Physical Therapy at Universidade Federal de Minas Gerais (2010–2015). Her research focuses on human performance through complexity science and ecological psychology, examining action strategies, perceptual capabilities, and their applications in rehabilitation and sports medicine. Education: Bachelor's in Physical Therapy (UFMG, 2000), Master's in Rehabilitation Science (UFMG, 2002), PhD in Experimental Psychology (UConn, 2009), and a Certificate in Quantitative Methods (UConn, 2009). Research emphasizes theoretical principles of biological movement coordination, motor strategies in diverse populations, and perceptual adaptation. She has led or collaborated on grants totaling over $160,000, including projects on motor strategies, gait biomechanics, and AI-driven injury prevention. Her work bridges theory and clinical practice, with applications in sports medicine and rehabilitation. Notable grants include CNPq-funded studies on motor strategies (2011–2013) and FAPEMIG-funded research on children with disabilities (2012–2014). Current collaborations involve Cincinnati Children’s Hospital and UC’s Digital Futures program, focusing on AI and phenotypic plasticity for injury prevention. Labs/Teams: Active in the Center for Cognition, Action & Perception, and collaborates with interdisciplinary teams on biofeedback and AI applications.