جست‌وجوی استاد و پژوهشگر

• Physiotherapy
• Rehabilitation
• Motor Control
• +۲ مورد دیگر

Prof. Dr. Katrijn KLINGELS is a Senior Lecturer at the Faculty of Rehabilitation Sciences , Hasselt University , Belgium. Her work centers on Motivational Control , Developmental Neuroscience , and Pediatric Rehabilitation , with a focus on neurodevelopmental disorders like Cerebral Palsy and Developmental Coordination Disorder . Supervision of 11 ongoing doctorates, including studies on balance control heterogeneity , intensive balance training , and somatosensory deficits in children with motor disorders. Leadership roles in the OMT Bachelor ReKi program and the Examination Board for Rehabilitation Sciences. Her research integrates brain imaging , neuromechanics , and functional assessments to understand motor impairments and design targeted therapies. Current projects include CO-OP interventions for autism , ICP-Move implementation for intellectual disabilities, and muscle fatigue studies in cerebral palsy. She teaches courses like Evidence-Based Clinical Reasoning and Advanced Pediatric Rehabilitation .

Yasser Iturria Medinaمشاهده پروفایل

استادیار

• Neuroimaging
• Neuroinformatics
• Precision Medicine
• +۶ مورد دیگر

Yasser Iturria Medina is an Assistant Professor at the Montreal Neurological Institute (MNI) , McGill University, within the Department of Neurology and Neurosurgery . He is an associate member of the Ludmer Centre for Neuroinformatics and Mental Health and the McConnell Brain Imaging Centre . Academic Rank: Assistant Professor Key Affiliations: MNI, Ludmer Centre, McConnell Brain Imaging Centre His educational background includes: Undergraduate: Nuclear Engineering (2004), Higher Institute for Nuclear Sciences and Technology, Cuba MSc: Neurophysics and Neuroengineering (2006), Cuban Neuroscience Center PhD: Neuroimaging and Neuroinformatics (2013), National Center for Scientific Research and Havana’s University of Medical Science His research focuses on neuroinformatics for precision medicine , particularly in neurodegenerative diseases like Alzheimer's and Parkinson's. His lab develops multiscale brain models integrating molecular, imaging, and cognitive data to characterize pathogenic mechanisms and identify personalized interventions. Key research areas include: Neurodegeneration modeling Neurovascular interactions in Alzheimer's Multi-omics integration for disease subtyping Neuroimaging biomarkers across neurodegenerative spectra Computational modeling of amyloid-beta and tau propagation The article analysis reveals his emphasis on: Alzheimer's disease mechanisms (45% of recent works) Multi-omics and transcriptomic modeling (30%) Neurovascular and white matter pathology (20%) Machine learning applications in neuroimaging (15%) Development of tools like NeuroPM-box and MVComp toolbox His lab has been instrumental in creating NeuroPM-box , a software platform for integrating molecular, neuroimaging, and clinical data to characterize neurodegenerative progression and heterogeneity. He has also contributed to CAPTURE ALS , a comprehensive analysis platform for amyotrophic lateral sclerosis.

• Applied Training Science
• Strength Training
• Cheerleading
• +۳ مورد دیگر

Dr. Simon Gavanda serves as a Researcher in the Department of Fitness and Health at IST University, supporting the institution's academic and research initiatives since 2015. His work bridges theoretical sports science with practical athletic applications across multiple disciplines. Education: Bachelor of Sport and Performance, German Sport University Cologne Master of Exercise, Science and Coaching, German Sport University Cologne PhD in Applied Hypertrophy Training, German Sport University Cologne His research centers on evidence-based training methodologies with dual specialization in strength development and cheerleading performance. Key investigations include hypertrophy protocols, neuroathletic interventions, and population-specific adaptations across team athletes, adolescents, and middle-aged individuals. He actively contributes to elite sports coaching education and serves as Scientific Coordinator for the Cheerleading and Cheerperformance Association Germany, driving sport-specific research translation. Recent publications (2022-2024) reveal a methodological emphasis on randomized controlled trials comparing training modalities (isokinetic/isotonic, blood flow restriction, functional training). Research spans biomechanics, physiological adaptation, and performance psychology, with targeted applications for cheerleaders, female athletes, and youth populations. Consistent themes include dose-response relationships, population-specific programming, and practical implementation of laboratory findings. No scientific awards were documented in the source materials. While no formal student advisees or research grants are specified, Dr. Gavanda's leadership in coach education programs and scientific coordination for national cheerleading associations indicates significant project management responsibilities. His role involves designing certification curricula and translating research into practical coaching frameworks for elite sports federations. He operates within IST University's Fitness and Health research ecosystem while maintaining strategic partnerships with the Cheerleading and Cheerperformance Association Germany, facilitating collaborative studies on athletic performance and injury prevention in competitive cheer sports.

• Brain-Computer Interface
• Biomedical Engineering
• Neuroprosthetics
• +۵ مورد دیگر

Prof. Dr. Gernot R. Müller-Putz is Head of the Institute of Neural Engineering and the Graz Brain-Computer Interface Lab at Graz University of Technology. He serves as Dean of the Faculty of Computer Science & Biomedical Engineering and holds editorial roles at Frontiers in Human Neuroscience IEEE Transactions in Biomedical Engineering Brain-Computer Interface Journal . With over 212 peer-reviewed publications and an h-index of 80, his research focuses on Brain-Computer Interfaces , Neuroprosthetics , and EEG-based Motor Control . His work investigates: Neural signal decoding for spinal cord injury rehabilitation Hybrid BCI systems with error processing Artificial sensory feedback mechanisms Machine learning applications in neural engineering VR-based neurofeedback environments Non-invasive multimodal biosignal recording Research trends show strong emphasis on EEG signal processing , BCI clinical applications , and neurotechnology integration . Scientific Awards : ERC Consolidator Grant (2015) Ludwig-Guttman Award (2017) CYBATHLON Best Paper (2019) State of Styria Research Award (2019) Förderstipendium (2013-2014) He advises 21 PhD students and has managed major projects like MoreGrasp (EU Horizon 2020) , Feel Your Reach (ERC) , and INTRECOM (EU EIC Pathfinder) . The Institute hosts the BCI Racing Team Mirage91 and offers international thesis opportunities.

Wei-Chung Allen Leeمشاهده پروفایل

دانشیار

• Neuroscience
• Connectomics
• Neural Circuits
• +۳ مورد دیگر

Wei-Chung Allen Lee, PhD, is an Associate Professor of Neurology and Neurobiology at Harvard Medical School. His research focuses on understanding how neural circuits enable behavior through functional connectomics, combining advanced imaging, machine learning, and computational modeling. The Lee Lab develops tools like X-ray holographic nanotomography and GridTape for high-resolution neural structure analysis. Key interests include circuit principles in Drosophila, cerebellar interneurons, and synaptic wiring in decision-making regions. His work explores structural-functional relationships in networks, conservation across species, and developmental constraints on neural architecture. Recent studies highlight connectomic reconstructions in Drosophila, cerebellar disinhibition mechanisms, and blood-brain barrier heterogeneity. Methodological innovations in microscopy and image restoration underscore his lab’s interdisciplinary approach. The Lee Lab is located at 220 Longwood Avenue, Boston, MA, and collaborates on large-scale neuroimaging pipelines like the Open Connectome Project.

Lee Millerمشاهده پروفایل

استاد

• Motor Control
• Neural Networks
• Brain-Machine Interfaces
• +۳ مورد دیگر

Lee Miller is a Professor of Physiology, Physical Medicine & Rehabilitation, and Biomedical Engineering at the University of Chicago. His research focuses on understanding how the brain encodes movement commands through neural signals, with applications in developing brain-machine interfaces (BMIs) to restore motor function in paralyzed patients. His work integrates neuroscience, engineering, and computational methods to study neural networks in motor systems. Key research areas include decoding cortical signals to predict muscle activity, developing closed-loop BMIs, and investigating functional connectivity in neural circuits. Miller collaborates extensively with the Biomedical Engineering Department and the Interdepartmental Neuroscience Program (NUIN). His lab combines experimental approaches (e.g., chronic neural recordings) with computational tools to study neural dynamics and develop therapeutic technologies. Recent work emphasizes restoring hand function via cortically controlled functional electrical stimulation (FES), translating neural signals into muscle activation. His publications span neural decoding algorithms, sensory feedback systems, and the neurobiology of motor control. Miller’s contributions bridge fundamental neuroscience and clinical neuroengineering, with potential impacts on spinal cord injury rehabilitation and prosthetic control systems.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +۳ مورد دیگر

Prof. Dr. Frank Kirchner is a leading expert in robotics and artificial intelligence, serving as Executive Director of DFKI Bremen and Professor of Robotics at the University of Bremen since 2002. He founded the Robotics Innovation Center (DFKI Bremen) and co-founded the Brazilian Institute of Robotics (2013) and Institute for Maritime Technologies (MarTech, 2010). Education: Doctorate in Informatics (Dr. rer. nat, Bonn, 1999); Diploma in Informatics and Neurobiology (Bonn, 1994) Research Interests focus on biologically inspired robotic motion, highly redundant systems, AI-driven autonomous robotics, and cross-domain applications in space, maritime, and industrial contexts. His work bridges theoretical and applied robotics, emphasizing simulation-reality gaps and adaptive control frameworks. Recent Publications highlight advancements in co-design optimization for manipulators, planetary exploration robotics, and sensor-based industrial assembly learning, reflecting interdisciplinary trends in AI, mechatronics, and environmental adaptation. Scientific Awards: Honorary Doctorate (2017, SENAI CIMATEC, Brazil) BBAW Membership (2015–) Advising includes supervising 65 doctoral theses (38 completed, 27 in progress) and mentoring over 250 bachelor’s/master’s students at the University of Bremen. He leads major projects like AI-REEFSHIELD and FieldCoBots , with funding from EU, DFG, BMBF, and DLR.

Joel Smithمشاهده پروفایل

مدرس ارشد

• Philosophy of Mind
• Phenomenology
• Philosophy of Psychology
• +۵ مورد دیگر

Dr. Joel Smith is a Senior Lecturer in the Department of Philosophy at the University of Manchester. He holds a PhD from University College London and has been affiliated with institutions such as the University of Essex. His research focuses on philosophy of mind, phenomenology, and existentialism, with historical interests in Kant, post-Kantian philosophy, and existentialist thought. Current projects include studies on perceptual demonstratives, emotional expression, and the experience of music. Smith supervises numerous PhD and master’s students, covering topics like psychedelics and phenomenology, narrative self-conception, and existential ethics. He has published extensively, including works on self-consciousness, empathy, and temporal experience. His book Existentialism: A Philosophical Inquiry (2022) explores existential themes like authenticity and responsibility. He organizes the Mind Reading Group and contributes to research areas such as the Mind & Language program. Smith’s work intersects with psychology and cognitive science, emphasizing interdisciplinary approaches to understanding consciousness and emotion.

Jonathan Tsayمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Computational Modeling
• Neuropsychology
• +۳ مورد دیگر

Jonathan Tsay is an Assistant Professor in the Department of Psychology at Carnegie Mellon University, affiliated with the Dietrich College of Humanities and Social Sciences. His research focuses on understanding human motor learning through computational modeling, neuropsychology, and psychophysics, with applications to clinical rehabilitation and brain-computer interfaces. Education: B.A. in Mathematics from Northwestern University; D.P.T. from Northwestern University's Feinberg School of Medicine; Ph.D. in Psychology from UC Berkeley. Research Interests: Investigating how humans master complex movements through cognitive and neural mechanisms. Key areas include sensorimotor adaptation, implicit learning processes, and the interplay between perception and action. His work integrates experimental methods with computational models to explore motor control in health and disease. Labs/Teams: Leads the Physical Intelligence Lab (Pi-Lab), studying movement diversity and optimization through interdisciplinary approaches. The lab emphasizes translational research to improve clinical interventions and human performance technologies.

• Human-Computer Interaction
• Personal Informatics
• Data Visualization
• +۶ مورد دیگر

Dr. Marit Bentvelzen is an Assistant Professor at the Faculty of Science , Utrecht University , specializing in Human-Centered Computing . She holds a PhD in this field (2024) with her thesis titled Reflection by Interaction: How Technology can Support Users in Reflecting on Personal Data . Research Interests focus on designing technologies that support self-reflection , personal data interpretation , and human-computer interaction . Her work spans data visualization , virtual reality , and fitness tracking systems , emphasizing user-centered design and technology-mediated reflection . Publications highlight her contributions to reflective metrics in fitness trackers, VR-based reflection tools , and data physicalization . She explores how qualitative data representation (e.g., weather metaphors for stress) and smart toys can enhance intergenerational connectedness and self-compassion . Teaching includes courses on Human-Centered Computing at Utrecht University, bridging technology design and user experience principles.

• Training Science
• Exercise Physiology
• Physical Fitness
• +۳ مورد دیگر

Mahmut Esat Uzun serves as an Assistant Professor in the Department of Coaching Education at Karabük University's Hasan Doğan Faculty of Sports Sciences since 2023, specializing in Training Science and Exercise Physiology. His research examines physiological responses to diverse exercise interventions across multiple athletic populations. His academic background includes: Doctorate in Coach Education from Selçuk University (2019) Master's in Physical Education and Sports (Thesis) from Selçuk University (2017) Bachelor's in Sports Management from Selçuk University (2011) Uzun's research focuses on experimental analysis of exercise modalities including Zumba, Tabata, and sport-specific training protocols. His work investigates physiological adaptations in sedentary populations, elite wrestlers, football players, and adolescent athletes, with particular attention to hormonal responses, physical fitness components, and pandemic-era exercise constraints. Current projects explore warm-up optimization for football performance and neuromuscular adaptations in combat sports. His 8 journal articles (2020-2025) demonstrate evolving expertise from foundational studies on balance abilities and table tennis risk assessment toward contemporary research on warm-up protocols and pandemic exercise adaptations. Collaborative patterns reveal strong institutional ties with Karabük University colleagues, particularly in applied sports physiology research. No scientific awards or recognitions have been documented in available records. Uzun has no recorded thesis advisement and no public information regarding research grants. His publication record suggests independent research leadership with frequent co-authorship on experimental studies rather than large-scale funded projects. No specific laboratory facilities or dedicated research teams are mentioned in available documentation, though his work consistently involves collaborative research groups within Karabük University's sports science department.

Xing-Dong Yangمشاهده پروفایل

دانشیار

• Human-Computer Interaction (HCI)
• Wearable Computing
• Interactive Systems Design
• +۵ مورد دیگر

Xing-Dong Yang is an Associate Professor of Computer Science at Simon Fraser University (SFU) and holds an adjunct appointment as Assistant Professor at Dartmouth College. He directs the XDiscovery Lab and focuses on Human-Computer Interaction (HCI), particularly in developing interactive systems for smart everyday objects such as wearables, garments, and appliances. His research emphasizes accessibility for visually impaired users and prototyping tools for non-specialists. He earned his PhD from the University of Alberta, following degrees from the University of Manitoba and University of Alberta. Affiliations: Simon Fraser University (School of Computing Science), Dartmouth College (Adjunct) Education: PhD, Computer Science, University of Alberta MS, Computer Science, University of Alberta BS, Computer Science, University of Manitoba His research explores novel interactive systems, including tactile interfaces for education, assistive technologies for visual impairments, and innovative input methods for wearables. Key projects include MakeBronze (cultural preservation through interactive crafts), AccessibleCircuits (inclusive electronics for blind users), and systems like iWood and MicroFluID that merge materials science with HCI. His work has been recognized with awards such as the Best Paper Award at UIST'19 and multiple Honorable Mentions at CHI and UIST conferences. He advises a dynamic team of PhD and MSc students, emphasizing hands-on prototyping and industry collaborations through internships at companies like Google, Microsoft, and Apple. Yang has secured grants including an NSF CRII grant for device modulation and an NSF CSR Large grant for health-focused earpiece technology. His lab fosters interdisciplinary innovation, bridging computer science with design, engineering, and cultural studies.

Carissa Cascioمشاهده پروفایل

استاد

• Autism Spectrum Disorders
• Sensory Processing
• Neuroimaging
• +۵ مورد دیگر

Dr. Carissa Cascio is a Professor at the University of Kansas (2025–present), previously holding faculty positions at Vanderbilt University Medical Center's Department of Psychiatry and Behavioral Sciences (2007–2025). She directs the Laboratory for Affective Sensory Research (LASR), focusing on autism spectrum disorders through behavioral, neuroimaging, and electrophysiological methods. Ph.D. in Neuroscience, Emory University Postdoctoral training at University of North Carolina Research Interests: Sensory-affective brain system interactions, somatic sensory processing (touch, interoception, pain, proprioception), and their role in autism characteristics. Her work emphasizes inclusive methodologies for neurodiverse populations. Publication Trends: Recent studies explore insular connectivity, cortical morphology, and sensorimotor regulation in autism, with interdisciplinary focus on behavioral neuroscience, neuroimaging, and affective systems. Slikfa Ritvo Innovation in Autism Research Award (2012) Vanderbilt Brain Institute Mentor of the Year Award (2023) Grants & Service: Principal Investigator on NIH and foundation grants. Served on Vanderbilt Neuroscience Graduate Program Admissions Committee, dissertation committees, and NIH study sections. Mentored students through the KU BBQ Program.

Daniel O’Connorمشاهده پروفایل

استاد

• Neuroscience
• Neural Circuits
• Sensory Processing
• +۳ مورد دیگر

Daniel O’Connor is a Professor of Neuroscience at the Johns Hopkins University School of Medicine and a researcher at the Zanvyl Krieger Mind/Brain Institute . He investigates the neural circuits involved in active touch and proprioception, bridging sensory processing and neurobiology. Education: Ph.D. in Molecular Biology and Neuroscience from Princeton University (2006) Research & Affiliation: After postdoctoral training at the Janelia Research Campus (Howard Hughes Medical Institute), Dr. O’Connor joined Johns Hopkins in 2012. His laboratory moved to the Zanvyl Krieger Mind/Brain Institute in 2020, where he continues to study tactile and proprioceptive neural mechanisms. Contact: Email: dan.oconnor@jhmi.edu Office: 251 Krieger Hall Phone: (410) 516-0146

Joshua Marshallمشاهده پروفایل

دانشیار

• Robotics
• Field Robotics
• Mobile Robotics
• +۵ مورد دیگر

Joshua Marshall is an Associate Professor in the Department of Electrical and Computer Engineering at Queen's University, cross-appointed to Mechanical and Materials Engineering. He serves as Interim Director of Ingenuity Labs Research Institute and leads the Offroad Robotics research group (formerly Mining Systems Laboratory). Previously, he held positions at Carleton University and MDA, Inc. Education: PhD in Electrical and Computer Engineering, University of Toronto (specializing in systems control) Research Interests: Dr. Marshall specializes in field robotics for mining, space, and industrial applications. His work integrates control systems engineering , localization and mapping , and mechatronics to develop autonomous solutions for harsh environments. Key focus areas include mobile robot navigation, sensor fusion, and real-world deployment challenges in underground and extraterrestrial settings. Publication Trends: His 2022-2025 publications reveal dominant themes in autonomous industrial vehicle control (motor graders, excavators), marine robotics (uncrewed surface vessels), and terrain/material classification . Work consistently combines model predictive control with machine learning (Gaussian processes, reinforcement learning) for dynamic environment adaptation. Multi-robot systems and simulation-to-real transfer represent emerging research directions. Professional Recognition: Senior Member of IEEE Associate Editor, IEEE Control Systems Society Conference Editorial Board Senior Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) Research Impact: Dr. Marshall's Offroad Robotics group develops technologies featured in the Canada Science and Technology Museum's 'From Earth to Us' exhibit. His work bridges academic research with industry applications through collaborations with MDA and international institutions like Örebro University, though specific grant details are not provided in source materials. Leadership: He directs both the Offroad Robotics research group and Ingenuity Labs Research Institute, fostering interdisciplinary innovation in robotics, autonomous systems, and intelligent technologies for real-world implementation in mining, space exploration, and environmental monitoring.