جستجوی استاد راهنمای دانشگاهی

Yon Visellمشاهده پروفایل

دانشیار

• Haptics
• Robotics
• Human-Computer Interaction
• +۵ مورد دیگر

Prof. Yon Visell is an Associate Professor at the University of California, Santa Barbara (UCSB) with appointments in the Department of Bioengineering, Department of Electrical and Computer Engineering, and Department of Mechanical Engineering. He directs the RE Touch Lab, which focuses on haptics, robotics, and interactive technologies, including sensorimotor augmentation, soft robotics, and virtual reality applications. The lab is affiliated with the Media Arts and Technology Program, Communication and Signal Processing group (ECE), Dynamic Systems and Control group (ME), California NanoSystems Institute, Center for Polymers and Organic Solids, UCSB Research Center for Virtual Environments and Behavior, and UCSB Robotics Group. Education: PhD in Electrical and Computer Engineering from McGill University, MA in Physics from University of Texas, Austin, and BA in Physics from Wesleyan University His research spans robotics, haptics, biomechanics, and soft electronics, aiming to advance human-computer interaction and wearable technologies. Recent work includes light-driven tactile displays, biomechanical filtering in tactile encoding, and haptic systems for VR and healthcare. The lab has received numerous awards at IEEE Haptics Symposium, World Haptics Conference, and EuroHaptics Society events. 2025 Best Demonstration Awards at IEEE World Haptics Conference 2024 Best Paper at IEEE Haptics Symposium 2023 Best Journal Paper at IEEE Transactions on Haptics Visell's group has pioneered wave-based haptic rendering, tactile holography, and soft wearable robotics. They have developed tools like SkinSource for tactile biomechanics simulation and collaborated with institutions in North America, Europe, and Japan. Current projects involve photonics-driven tactile systems, soft robotics for therapy, and next-generation haptic interfaces while mentoring students like Gregory Reardon (2024 EuroHaptics Best Dissertation), Max Linnander (IEEE Haptics awards), and Neeli Tummala (SWE Intel Scholar). Research Grants: Funded by NSF, tech, and healthcare industries Lab: RE Touch Lab at California NanoSystems Institute Collaborations: with TU Dresden, Northwestern University, NC State, UCLA, and others

Véronique Perdereauمشاهده پروفایل

استاد

• Robotics
• Dexterous Manipulation
• Tactile Feedback Systems
• +۴ مورد دیگر

Véronique Perdereau is a Full Professor at Sorbonne Université's Institute of Intelligent Systems and Robotics (ISIR) , specializing in robotics and dexterous manipulation. She leads the ASIMOV research team and serves as a principal investigator for multiple European projects, including SOFTMANBOT, INDEX, and CORSMAL, focusing on tactile feedback, multimodal control, and human-robot interaction. Role: Full Professor (2024) Email: veronique.perdereau@sorbonne-universite.fr Office: H13, Campus Pierre et Marie Curie, Paris Research Focus Perdereau's work centers on tactile-driven robotic control systems, human-inspired manipulation strategies, and multimodal fusion for industrial automation. Her research bridges theoretical modeling (e.g., Cosserat mechanics, dual quaternions) with practical applications in manufacturing sectors. Key Themes: Tactile Feedback Systems Dexterous In-Hand Manipulation Human Motion Data Integration Autonomous Grasp Stability Flexible Object Handling Reproducibility in Robotic Experiments Notable Projects She has spearheaded projects like: SOFTMANBOT (2019–2023): Advanced robotic technology for handling soft materials in manufacturing. INDEX (2019–2022): Developing motor action dictionaries for robotic hands. CORSMAL (2019–2022): Multimodal fusion for collaborative object recognition. Scientific Leadership Perdereau has led work packages in 10+ international collaborations with institutions across Europe, including Decathlon, IIT, and Queen Mary University. Her research emphasizes safety, ethics, and industry 4.0 applications.

• Sport training
• Physical education and sport
• Programming and periodization in sports
• +۳ مورد دیگر

Răzvan Sandu ENOIU is a Professor at the Department of Motor Performance, Faculty of Physical Education and Mountain Sports, Transilvania University of Brașov. His work focuses on sport training methodologies, physical education innovation, and the integration of technology in athletic performance analysis. He is affiliated with the university’s research initiatives and has contributed to interdisciplinary studies bridging sports science with educational technology. Research Interests: Sport training programming and periodization Applications of wearable sensors and modern technology in sports Optimization of athletic performance through data-driven approaches Impact of extracurricular activities on motor skills development His publications explore topics such as Alpine skiing performance analysis, vital sign monitoring in athletics, and the sociological effects of technology during the pandemic. Recent work includes advancements in javelin throwing biomechanics and balance training methodologies using Bosu balls. Professor ENOIU collaborates with international journals and contributes to conferences on sports science and child development.

Suyi Liمشاهده پروفایل

دانشیار

• Origami Engineering
• Mechanical Metamaterials
• Soft Robotics
• +۶ مورد دیگر

Suyi Li is an Associate Professor in the Department of Mechanical Engineering at Virginia Tech's College of Engineering, where he leads the Dynamic and Architected Robot and structurE (DARE) Lab. Previously, he served as an Assistant Professor at Clemson University from 2016-2022 after completing postdoctoral research at the University of Michigan. Ph.D. in Mechanical Engineering, University of Michigan, Ann Arbor (2014) M.Sc. in Mechanical Engineering, Pennsylvania State University (2008) B.S. Summa Cum Laude in Mechanical Engineering, University of Michigan, Ann Arbor (2006) Dr. Li's research focuses on pioneering new paradigms of intelligent robots and functional structures by exploiting the interplay between geometry, mechanics, actuation, and computation. His work spans origami-inspired morphing structures, physically computing materials that perform machine learning tasks without traditional electronics, and soft/reconfigurable robots that can move like animals or grow like plants. His innovative approach combines mechanical engineering principles with computational thinking to create systems with 'mechano-intelligence'. Analysis of Dr. Li's recent publications reveals a strong trajectory toward embodied intelligence and mechanical computing, where physical structures themselves perform computational tasks. His work increasingly integrates origami/kirigami principles with advanced materials to create systems that can sense, process information, and actuate without conventional electronics. The research shows progression from fundamental mechanics of adaptive structures to sophisticated applications in robotics and computing. Dean's Awards of Excellence – Faculty Fellow, Virginia Tech (2024) C.D. Mote Jr Early Career Award, ASME Design Engineering Division (2022) Gary Anderson Early Achievement Award, ASME Aerospace Division (2021) Junior Researcher of the Year Award, College of Engineering, Clemson University (2020) CECAS Dean's Faculty Fellow, Clemson University (2018) CAREER Award, National Science Foundation (2018) ASME Freudenstein Young Investigator Award Dr. Li has secured nearly two million dollars in research funding, including the prestigious NSF CAREER award and an NSF EFRI project to build mechano-bio hybrid reservoir computers. He advises multiple Ph.D. and Master's students in the DARE Lab, with recent successes including Vishrut Deshpande's Ph.D. defense. His research has generated close to 80 journal and conference papers, demonstrating significant impact in the fields of adaptive structures and materials systems. Dr. Li also serves on editorial boards for several prominent journals including Journal of Intelligent Material Systems and Structures and Philosophical Transactions of the Royal Society A. The DARE Lab at Virginia Tech comprises a multidisciplinary team of researchers working on origami-inspired meta-structures, physically computing materials, and soft robotics. Current projects include developing electronics-free crawling robots with mechanical central pattern generators, creating kirigami-based wearable medical devices, and engineering metamaterials with programmable mechanical properties. The lab actively collaborates with institutions across the country and has received recognition for its innovative approaches to combining mechanical design with computational capabilities.

James Ashton-Millerمشاهده پروفایل

استاد

• Biomechanics
• ACL injury
• Sports injury
• +۱۵ مورد دیگر

Dr. James Ashton-Miller is a prominent faculty member in the Department of Mechanical Engineering at the University of Michigan, where he directs the Biomechanics Research Laboratory. He serves as a Center Member of the University of Michigan Injury Prevention Center and maintains affiliations with the Institute of Gerontology. His interdisciplinary work bridges engineering principles with medical applications, focusing on injury prevention across sports medicine, obstetrics, and geriatrics. Dr. Ashton-Miller's educational background includes: PhD from the University of Oslo, Oslo, Norway (1978-1983) MSME from M.I.T., Cambridge, MA, U.S.A (1972-1974) B.SC. (Hons) from the University of Newcastle-upon-Tyne, Newcastle-upon-Tyne, England (1967-1972) His research focuses on the biomechanics of injury prevention across multiple critical domains. In sports medicine, he has demonstrated that some ACL injuries are overuse injuries resulting from too many sub-maximal loading cycles that prevent healing of collagen damage. In women's health, his work on childbirth injuries addresses conditions that affect more women than breast cancer. His research on fall-related injuries in older adults reveals the dual threat of physical and cognitive factors. He also investigates sciatica, disc degeneration, and develops new medical devices for screening, diagnosis and treatment. Dr. Ashton-Miller's recent publications show a strong trend toward developing practical clinical applications from fundamental biomechanical research, with emphasis on advanced imaging methods, wearable sensors, and computational modeling for pelvic floor function assessment. His work consistently aims to translate engineering insights into clinical solutions for injury prevention. His research insights have earned him numerous national and international research awards, though specific awards aren't detailed in the available information. His work involves close collaboration with clinicians and surgeons who meet weekly to discuss progress and next steps. Dr. Ashton-Miller is deeply committed to mentoring, working with NIH K-series fellows along with 1-2 post-doctoral fellows, 3-5 PhD students, 2-4 M.S. students, 4-5 undergraduate students, and 2-4 young clinicians. His research is generously supported by the National Institutes of Health, National Science Foundation, National Basketball Association, Fortune 500 companies, and startup companies including Procter & Gamble and Hologic, Inc. He directs the Biomechanics Research Laboratory and co-leads the Pelvic Floor Research Group, where his teams develop new medical devices to improve screening, diagnosis, and treatment of various biomechanical conditions. These laboratories maintain strong clinical connections, ensuring research remains grounded in real-world medical challenges.

Nicolas Davidenkoمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Perception
• Face Recognition
• +۵ مورد دیگر

Nicolas Davidenko is an Associate Professor in the Department of Psychology at the University of California, Santa Cruz (UCSC). He leads the High Level Perception Lab, focusing on behavioral and computational studies of human perception, particularly face recognition, spatial orientation, and visual ambiguity. His work emphasizes 'top-down' processes like attention and expectations. Davidenko holds a Ph.D. in Psychology from Stanford University (2006), an M.S. in Statistics from Stanford (2004), and an A.B. in Mathematics from Harvard (1998). His research explores how humans perceive and interpret complex visual information, including studies on illusions, virtual reality, and misophonia. He has developed parametric models of faces to study memory encoding and drawing accuracy. Notable achievements include a Top-10 Finalist placement in the 2015 Best Illusion of the Year Contest for his 'Mind-controlled motion' research. He teaches courses such as PSYC 121 (Perception), PSYC 139K (Face Recognition), and advanced cognitive research seminars. Davidenko also runs the CSASS Matlab Workshops, training researchers in statistical tools. His lab includes graduate students and postdocs, with alumni like Jennifer Day (Ph.D. ’19) and Pat Samermit (Ph.D. ’18). Recent projects include investigations into vection in VR environments, cross-sensory modulation of aversive sounds, and time perception in virtual reality. His work bridges cognitive psychology, neuroscience, and computational modeling, contributing to understanding how perception shapes human interaction with the environment.

Jonathan Skinnerمشاهده پروفایل

دانشیار

• Ecocriticism
• Contemporary Poetry
• Environmental Studies
• +۴ مورد دیگر

Dr. Jonathan Skinner is a Reader (equivalent to Associate Professor) in English and Comparative Literary Studies at the University of Warwick's Faculty of Arts, where he researches and teaches ecocriticism, contemporary poetry, and creative writing. He founded and edits the journal ecopoetics , exploring intersections between writing and ecology. His research examines: Ecopoetic theory and environmental literature Intersections of sound studies and ethnopoetics North American avant-garde poetry (Olson, Kyger, Eigner) Translation and transnational poetics Third Landscape theory and urban wildness He leads a research network facilitating cross-cultural poetry exchanges along avian migration routes. Skinner's publications predominantly explore ecocritical frameworks through poetry analysis, with recent work examining climate change poetics, multispecies communication, and Anthropocene aesthetics. His scholarship connects literary studies with environmental science, acoustics, and landscape theory. He currently supervises five PhD students researching multispecies poetics and environmental literature through AHRC-funded projects, and has successfully supervised two doctoral candidates studying deindustrialization and extractive urbanism. Previously supervised MA theses span modernist poetry, ecocriticism, and creative writing.

Jatin P. Ambegaonkarمشاهده پروفایل

استاد

• Performing Artists and Dancers
• Biosensors
• Athletics and Sport
• +۷ مورد دیگر

Dr. Jatin P. Ambegaonkar is a Professor in the School of Kinesiology, College of Education and Human Development at George Mason University, where he serves as Associate Dean for Research. He holds a PhD from the University of North Carolina Greensboro and is a Certified Athletic Trainer and Occupational Therapist. His translational research bridges laboratory science and community engagement to enhance performance, reduce injury risk, and improve health outcomes across populations. Research Focus: Dr. Ambegaonkar's work centers on interdisciplinary approaches to human movement, with emphasis on: Performing artists' health and injury epidemiology Biosensor applications in sports and dance Neuromechanical assessment and concussion management Falls prevention and quality of life in older adults Community-based health interventions for underserved populations His research vision— "Arts and Health for the Physically Active, Physical Activity for Health and Artists" —drives initiatives like the SMART Laboratory (co-founded in 2006) and the SHARe Consortium. Publications: His 80+ articles demonstrate consistent focus on injury mechanisms, dance science, and aging research, with recent emphasis on kinesiophobia (2024), multifactorial fall interventions (2024), and longitudinal dancer fitness (2023). Methodologies span systematic reviews, RCTs, biomechanical analyses, and community trials. Leadership & Grants: As founding co-director of the SMART Laboratory, he leads projects including: ACHIEVES: Free athletic healthcare for underserved students POISED: Falls prevention in older adults SHARe Consortium: Multidisciplinary injury prevention for artists He has secured $6.4M across 30 grants from the National Endowment for the Arts, Potomac Health Foundation, and others. Editorial Roles: Editor-in-Chief of the Journal of Dance Medicine & Science ; Editorial Board member for the Journal of Athletic Training ; reviewer for 25+ scientific journals.

Fulvio Dominiمشاهده پروفایل

استاد

• 3D Vision
• Perception and Action
• Visual Neuroscience
• +۳ مورد دیگر

Fulvio Domini is a Professor in the Department of Cognitive, Linguistic and Psychological Sciences at Brown University. He joined Brown in 1999 after completing his MSc in Electrical Engineering and PhD in Experimental Psychology at the University of Trieste, Italy. His research focuses on how the human visual system processes 3D information to enable interaction with the environment, combining computational modeling with behavioral experiments. Key areas include perception-action coupling, depth cue integration, and visuomotor adaptation. Education: Masters in Electrical Engineering, University of Trieste, Italy PhD in Experimental Psychology, University of Trieste, Italy Research Interests: 3D vision and depth perception Integration of stereo and motion cues Perception-action link in grasping movements Computational modeling of visual processing Funded Research: Multiple NSF grants including BCS #1827550 ($523,550, 2018) Investigates temporal integration of visual cues and affine shape representations Teaching: Courses include Computational Vision, Perception, and immersive reality simulations. Recent courses: CLPS 1591 (Vision for Action/Perception), CLPS 0540 (Simulating Reality). Lab: Active research on visuomotor control and perception mechanisms, with a focus on dynamic environments and adaptive systems.

Anthony Grittenمشاهده پروفایل

استاد

• Music and Gesture
• Performance Philosophy
• Organ Music
• +۷ مورد دیگر

Anthony Gritten is Head of Undergraduate Programmes at the Royal Academy of Music in London. A distinguished scholar-performer, he completed his doctorate at Cambridge University on Stravinsky's neoclassical music under Alexander Goehr. As a Fellow of the Royal College of Organists, Gritten has given over 400 recitals across the UK, France, and Canada, establishing himself as a leading interpreter of organ repertoire. His academic journey includes positions at the University of East Anglia, the Royal Northern College of Music, and Middlesex University before his current leadership role at the Royal Academy of Music. Gritten's scholarly profile is marked by an interdisciplinary approach that bridges performance practice with philosophical inquiry. Gritten's research interests focus on the intersection of music, philosophy, and performance studies. His work explores musical gesture, the phenomenology of performance, and the philosophical dimensions of musical practice. He has made significant contributions to understanding the works of John Cage, Charles Rosen, and Stravinsky through the lens of performance philosophy. His research reveals how embodied experience shapes musical interpretation and how philosophical concepts manifest in performance practice. His scholarly output demonstrates a sustained engagement with questions of indeterminacy, distraction, and ecological awareness in musical performance. Gritten's work has helped establish Performance Philosophy as a legitimate field of academic inquiry, connecting practical musical concerns with broader philosophical questions about meaning, interpretation, and embodiment. Fellow of the Royal College of Organists Gritten has supervised numerous doctoral students in the field of performance philosophy and artistic research. His administrative leadership as Head of Undergraduate Programmes has shaped curriculum development at the Royal Academy of Music, emphasizing the integration of practical performance with theoretical and philosophical inquiry. He has been instrumental in developing research frameworks that validate practice-based research in music, contributing to the institutional recognition of artistic research as a legitimate scholarly pursuit.

Rob van Beersمشاهده پروفایل

استادیار

• Motor Control
• Motor Learning
• Spatial Perception
• +۳ مورد دیگر

Rob van Beers is an Assistant Professor at the Faculty of Behavioural and Movement Sciences at Vrije Universiteit Amsterdam, with affiliations to Neurocontrol, IBBA, and AMS - Sports. His research focuses on human motor control, spatial perception, and computational modeling using Bayesian approaches to understand sensory-motor integration under uncertainty. He holds ancillary roles as a Researcher at Radboud University (Nijmegen) since 2015 and serves on the Editorial Board of the Journal of Neurophysiology since 2015. His work contributes to UN Sustainable Development Goals related to health and well-being. Key research interests include motor learning dynamics, sensorimotor adaptation, and the neural basis of spatial orientation. Recent studies explore Alzheimer’s impacts on motor adaptation and Bayesian inference in vestibular path integration. Teaching responsibilities include courses on linear systems dynamics, physical measurement techniques, and motor systems regulation. His work spans 42 peer-reviewed articles, with datasets published on platforms like Dryad and Zenodo.

Jean Laurensمشاهده پروفایل

پژوهشگر

• Neuroscience
• Spatial Navigation
• Vestibular Systems
• +۵ مورد دیگر

Jean Laurens is a Group Leader at the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society in Frankfurt, Germany, where he heads the Laurens Lab. His research focuses on understanding how we sense our own motion and orient ourselves in three-dimensional space through neural mechanisms. His research interests include: Three-dimensional navigation and the neural basis of the 'brain compass' through head-direction cells in the limbic system Sensory signals for spatial navigation and how the brain integrates self-motion signals with visual landmarks Self-motion sensation and how the brain merges multiple sensory signals from the inner ear, vision, and proprioception with motor commands Laurens employs a multidisciplinary approach combining mathematical modeling and extracellular neuronal recordings in behaving Marmoset monkeys. His work spans computational neuroscience, systems neuroscience, and vestibular research, with significant contributions to understanding 3D orientation coding, gravity sensing in neural circuits, and spatial cognition. Recent publications demonstrate his focus on neural attractor networks, multisensory integration, and the representation of spatial orientation relative to gravity. His laboratory team includes researchers Francesca Lanzarini, Farzad Ziaie Nezhad, and Deepak Surendran, with Sogand Ghiasi managing laboratory operations. The Laurens Lab has been featured in media outlets including Süddeutsche Zeitung, with coverage of their work on balance mechanisms published in November 2020 and an article titled 'Du kannst mich Affe nennen' published on August 30, 2024.

Oliver Staadtمشاهده پروفایل

استاد

• Virtual Reality
• Augmented Reality
• Computer Graphics
• +۷ مورد دیگر

Prof. Dr. sc. techn. ETH Oliver Staadt is Full Professor of Computer Science and Chair of Visual Computing at the University of Rostock , Germany. Since 2023 he also serves as Director of the Institute for Visual and Analytic Computing within the Faculty of Computer Science and Electrical Engineering . Previously he was Dean (2016–2018) and Vice Dean (2010–2016) of the same faculty. Education Ph.D. in Computer Science, ETH Zürich (2001) M.Sc. in Computer Science, TU Darmstadt (1994) Research Interests Prof. Staadt’s research spans virtual and augmented reality , computer graphics , visualization , telepresence , immersive analytics , and human–computer interaction . A particular focus lies on real-time rendering and display technologies for large high-resolution display systems, depth-image enhancement for RGB-D sensors, and interaction techniques that leverage spatial cognition and eye-tracking. His work is frequently applied to collaborative settings and microgravity environments, including experiments aboard parabolic flights and the International Space Station. Recent Publication Trends Between 2019 and 2021 his output centers on foveated rendering , AR viewpoint guidance , collaborative analytics on wall-sized displays , and embodied interaction metaphors . Earlier work addressed bandwidth-efficient telepresence, depth-image filtering, and physically-based animation. The corpus reveals a steady evolution from fundamental graphics algorithms toward applied immersive systems. Scientific Awards & Honors Fellow of the Eurographics Association Associate Editor, IEEE Transactions on Visualization and Computer Graphics (past) Associate Editor, Computers & Graphics (past) Associate Editor, Computer Animation and Virtual Worlds (past) Associate Editor, Frontiers in Virtual Reality (current) Chair, Expert Group on Virtual & Augmented Reality, German Informatics Society (2013–2020) Advising & Funding He has successfully supervised more than ten PhD graduates whose dissertations range from collision detection and physically-based animation to 3D interaction in microgravity and predictive user modeling. Current PhD researchers include Bipul Mohanto, Mana Takhsha, and Sven Kluge. His projects are supported by national and EU programs such as EVOCATION, SMOOTH, ARGuide, 3DPick, DIVA, and Telepresence. Labs & Teams Prof. Staadt leads the Visual Computing Group at Rostock, operating state-of-the-art facilities including large tiled display walls, VR/AR laboratories, and motion-capture systems. The institute hosts interdisciplinary collaborations with partners in visualization, computer vision, psychology, and aerospace engineering.

• Educational Psychology
• Learning from Errors
• Instructional Strategies
• +۳ مورد دیگر

Susanne Narciss is a Professor at the Psychology of Learning and Instruction department of Technische Universität Dresden, leading the Center of Tactile Internet with Human in the Loop (CeTI). Her research focuses on error processing in educational contexts, with 15 recent publications analyzing error climates, feedback strategies, and motivational frameworks. Key Research Areas : Learning from errors/failure, instructional feedback design, affective-motivational responses, error-related metacognition. Methodological Scope : Combines longitudinal studies, experimental designs, and qualitative analyses across K-12, university, and informal learning settings (museums, home contexts). Her work emphasizes context-specific interventions for educators, parents, and students, including error-competency training programs and metacognitive scaffolding tools. Current projects examine vibrotactile feedback systems for motor learning and cultural responsiveness in psychology education. Collaborative Networks : Works with international teams on the International Competences for Undergraduate Psychology model and cyber-physical system pedagogy. Recent Trends : 2025 articles focus on collaborative error processing, scenario-based human-machine interaction, and generative learning tasks in digital environments.

• Physiotherapy
• Rehabilitation
• Musculoskeletal Disorders
• +۵ مورد دیگر

Professor Banu Bayar is a distinguished faculty member at Muğla Sıtkı Koçman University's Faculty of Health Sciences, Department of Physiotherapy and Rehabilitation with specialization in Musculoskeletal Rehabilitation. With over two decades of academic and clinical experience, she has established herself as a leading researcher in physical therapy and rehabilitation sciences. Education: Bachelor's Degree: Hacettepe University - School of Physical Therapy and Rehabilitation (1990-1994) Master's Degree: Hacettepe University - Institute of Health Sciences - Physical Therapy and Rehabilitation (MSc) (1996-1998) Doctorate: Hacettepe University - Institute of Health Sciences - Physical Therapy and Rehabilitation (1998-2002) Professor Bayar's research spans multiple critical areas in rehabilitation science, with particular emphasis on stroke rehabilitation, musculoskeletal disorders, pain management, and geriatric rehabilitation. Her work integrates clinical practice with scientific research to develop evidence-based rehabilitation protocols. She has extensively studied proprioception, balance disorders, and functional recovery in neurological conditions, contributing significantly to the understanding of how physical interventions can improve patient outcomes. Her publication record demonstrates consistent scholarly output with a notable increase in high-impact research in recent years. The trend shows a strategic focus on developing assessment tools, validating measurement instruments, and investigating innovative rehabilitation techniques. Her work bridges clinical practice and scientific validation, with particular attention to culturally adapted assessment tools for the Turkish population. Recent publications reveal growing interest in technology-assisted rehabilitation, cognitive-motor interactions, and the psychological aspects of chronic conditions. Professor Bayar has served as an editor for multiple journals including the Journal of Karya Health Science (2020-2022) and has contributed to numerous book chapters on physiotherapy and rehabilitation. Her collaborative research approach is evident in her extensive co-authorship network, working with colleagues across various institutions to advance rehabilitation science. While specific grant information isn't detailed in the available records, her sustained publication output suggests successful research funding throughout her career.