جستجوی استاد راهنمای دانشگاهی

Florian Loffingمشاهده پروفایل

مدرس ارشد

• Performance Psychology
• Sensorimotor Expertise
• Laterality
• +۱۱ مورد دیگر

Florian Loffing is a Senior Lecturer in the Department of Performance Psychology at the Psychological Institute of the German Sport University Cologne. His academic career spans multiple institutions, including the University of Kassel, Carl von Ossietzky University of Oldenburg, and Westfälische Wilhelms-Universität Münster. He specializes in sensorimotor expertise, laterality (particularly handedness), and perception-action dynamics in sports. Senior Lecturer, German Sport University Cologne (2023–present) Lecturer for Special Tasks, German Sport University Cologne (2021–2022) Research Associate, University of Oldenburg (2017–2021) Research Associate, University of Kassel (2009–2016) Research Associate, WWU Münster (2007–2009, 2010–2011) His research interests focus on cognitive and perceptual aspects of sports performance, particularly in anticipation, expertise, and laterality. He is deeply involved in quantitative research methods and teaches courses in sports psychology, motor learning, and statistical software such as SPSS, JASP, and PsychoPy. His work emphasizes scientific thinking and evidence-based practice in sport. The analysis of his recent publications reveals a strong focus on cognitive skills in sport, particularly in goalkeeping and table tennis. Themes include anticipation, decision-making, gaze behavior, and expertise development. His methodological contributions highlight data visualization and robust statistical practices. Many studies employ experimental designs and scoping reviews to explore perceptual-cognitive mechanisms in elite and developing athletes. Florian Loffing has contributed to several scientific journals as a peer reviewer, including Laterality: Asymmetries of Body, Brain and Cognition , Psychophysiology , and PLOS ONE . While no formal awards are listed, his sustained scholarly activity and editorial engagement reflect recognition in the academic community. He advises on research methodology and statistical analysis, supporting students and colleagues in designing and evaluating empirical studies. His teaching integrates software-supported tools to enhance scientific rigor. Though no formal grants are listed, his participation in DFG-funded projects (e.g., 'Laterality in Sport') indicates prior research funding. Loffing is affiliated with the research group Sensorimotor Expertise and the Department of Performance Psychology , where he collaborates on projects related to elite athlete cognition, anxiety, and heart rate variability. His network includes researchers such as Babett Lobinger, Philip Furley, and Jens Kleinert, with whom he has co-authored multiple publications.

Martin Alois Rohrmeierمشاهده پروفایل

دانشیار

• Digital Musicology
• Cognitive Musicology
• Music Theory
• +۵ مورد دیگر

Martin Alois Rohrmeier is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the College of Humanities and the Digital and Cognitive Musicology Lab (DCML). He holds multiple leadership roles, including Director of the Doctoral Program in Digital Humanities and member of the Doctoral School Committee. His academic presence spans teaching in Digital Humanities, Humanities and Social Sciences, and specialized music courses. Associate Professor, Digital and Cognitive Musicology Lab (DCML), EPFL Director, Doctoral Program in Digital Humanities, EPFL Member, Doctoral School Committee, EPFL Teaching roles in SODH, SHS, and EDDH programs His research lies at the intersection of music, cognition, and computation. He investigates the structural foundations of music—particularly harmony, rhythm, melody, and form—through computational modeling and cognitive science. His work explores how humans perceive, produce, and understand music by building models that simulate cognitive processes. The recent publications reflect a strong focus on modeling tonal harmony, rhythmic expectations, musical closure, and key perception. These studies combine corpus analysis of large music datasets with cognitive and probabilistic modeling, contributing to both music theory and cognitive science. His research trends emphasize empirical validation of theoretical constructs using computational tools and large-scale data. Rohrmeier actively supervises PhD students in digital musicology and cognitive modeling. His leadership in the Doctoral Program in Digital Humanities underscores his commitment to interdisciplinary training and research advancement in the field. PhD Students: Borsodi-Benson Marina Barbara, Guan Xinyi, Meng Shuxin, Ren Zeng, Wang Xiaoxuan Past PhD Students: Cecchetti Gabriele, Finkensiep Christoph, Harasim Daniel, Hentschel Johannes, Moss Fabian Claude He teaches courses such as Digital Musicology and Musical Theory and Creativity , which integrate theoretical instruction with hands-on projects, fostering both analytical and creative skills in students. The Digital and Cognitive Musicology Lab (DCML) at EPFL serves as the central research environment, promoting interdisciplinary collaboration between musicologists, cognitive scientists, computer scientists, and engineers to advance the scientific understanding of music.

Alexandra Reichenbachمشاهده پروفایل

استاد پژوهش

• Cognitive Neuroscience
• Neuroinformatics
• Artificial Intelligence in Mental Health
• +۶ مورد دیگر

Prof. Dr. rer. nat. Alexandra Reichenbach is a Research Professor for Neuroinformatics at Heilbronn University of Applied Sciences and an Associate Professor at Heidelberg University's Medical Faculty . As Director of the Center for Machine Learning (ZML) , she leads the "Motor Control & Artificial Intelligence in Mental Health" research group and chairs HHN's Ethics Board. Her research bridges cognitive neuroscience and artificial intelligence , focusing on: Human sensorimotor function and its neural basis AI-driven biomarker development for psychiatric disorders (depression, schizophrenia) EEG and fMRI-TMS multimodal neuroimaging Robot-assisted motor rehabilitation technologies Neuroethics of AI in clinical diagnostics Recent work includes GAN-based schizophrenia classification , EEG biomarker optimization , and Alzheimer's disease stratification models . She advocates for interdisciplinary AI education , co-developing HHN's Applied AI bachelor's program and planning its master's/doctoral expansion. Key collaborations include: Heidelberg Medical Faculty Human Robotics Group at Imperial College National Hospital for Neurology and Neurosurgery Medical Informatics Master Seminar (Heidelberg/HHN partnership) Her lab (ZML) integrates virtual AI experimentation environments for both research and public education, including interactive AI & Society installations.

• Neuroscience
• Neuroengineering
• Computational Biology
• +۳ مورد دیگر

Pavan P Ramdya is an Associate Professor at EPFL's School of Life Sciences, affiliated with the Brain Mind Institute and Institute of Bioengineering. He leads the Ramdya Lab, focusing on reverse-engineering Drosophila neural systems to uncover principles of biological intelligence and inform AI/robotics. His interdisciplinary approach combines genetics, computational modeling, and neuroimaging. Education: PhD in Neurobiology from Harvard University (2009) Research spans neuroengineering , motor control , and collective behavior . Key contributions include creating NeuroMechFly (neuromechanical model of Drosophila ), mapping descending/ascending neuron networks , and developing DeepFly3D , LiftPose3D software for behavioral analysis. His work reveals how neural populations in the brain and ventral nerve cord coordinate locomotion and social behaviors. Recent publications focus on hierarchical sensorimotor control (Nature Methods 2024), neural substrates of sociability (bioRxiv 2024), and 3D pose estimation algorithms. The lab secures major grants including Kavli Exploration Awards , SNSF Eccellenza Grants , and HFSP Fellowships . Scientific Awards: Kavli Fellowship, SNSF Eccellenza Grant, HFSP Career Development Award, Wellcome Trust Fellowship, UNIL Young Investigator Award As a PhD program committee member for EDBB and EDNE , he mentors students in computational neuroscience and neuroengineering. His team has trained multiple PhD candidates including Victor Lobato-Rios and Pembe Gizem Ozdil.

Li-Ann Leowمشاهده پروفایل

پژوهشگر ارشد

• Motor Learning
• Sensorimotor Adaptation
• Neuroscience
• +۱۲ مورد دیگر

Dr. Li-Ann Leow is a Research Fellow at the Centre for Sensorimotor Performance , affiliated with the School of Psychology in the Faculty of Health, Medicine and Behavioural Sciences at the University of Queensland . She holds a PhD in Motor Learning and Parkinson's Disease from the University of Western Australia, and has held postdoctoral positions at the Brain and Mind Institute (Western University) and the University of Queensland. Research Interests : Mechanisms of sensorimotor adaptation Dopamine's role in motor learning Neurostimulation techniques (tDCS) Rhythm perception and movement disorders Implicit vs explicit learning processes Motor rehabilitation in stroke and Parkinson's Article Trends show focus on neural plasticity , auditory-motor integration , and dopaminergic modulation of motor skills. Her 2025 works highlight error-driven memory consolidation and auditory cueing effects . She explores how brain stimulation reliability affects procedural learning and decision-making in both healthy and clinical populations. Scientific Awards : Honorary Fellow, School of Psychology, University of Queensland Advisory Activities : Available for supervision in motor learning and reward-based movement research Completed supervision of projects on stroke rehabilitation and implicit motor learning

Cyril Duclosمشاهده پروفایل

استاد

• Rehabilitation Sciences
• Neurorehabilitation
• Motor Control
• +۹ مورد دیگر

Cyril Duclos is a Full Professor and Director of Graduate Programs in Rehabilitation Sciences at the School of Rehabilitation, Université de Montréal. He is affiliated with the Interdisciplinary Research Centre in Rehabilitation (CRIR) and the University Institute for Rehabilitation in Physical Disabilities of Montreal (IURDPM), where he conducts cutting-edge research in motor control and neurorehabilitation. Ph.D. in Neurosciences, University of Aix-Marseille I and University of Montreal (2006) Advanced Studies Diploma in Physiology and Biomechanics, University of Paris-X (2002) Master’s and Bachelor’s in Cognitive Sciences, University of Aix-Marseille I (2001, 2000) State Diploma in Masseur-Kinesitherapy, Institute of Training in Masso-Kinesitherapy of Orléans, France (1998) His research focuses on balance control, proprioception, gait analysis, and rehabilitation technologies , particularly in post-stroke and spinal cord injury populations. He employs biomechanical analysis, inertial sensors, and localized muscle vibration to enhance motor recovery. His work bridges clinical practice and neuroscience, aiming to translate findings into effective rehabilitation strategies. The recent publications highlight a strong trend in proprioceptive stimulation, gait symmetry, virtual reality integration, and perturbation-based balance training . His studies often combine experimental designs with systematic reviews, demonstrating both innovation and scientific rigor across neurorehabilitation and biomechanics. FSI-SSS/MEDTEQ: Clinical recommendations for post-stroke rehabilitation intensity CRSNG-Découverte: Kinematic-specific proprioceptive stimulations in gait control Osseointegration in lower limb amputees Unpredictable disturbances during walking to improve balance Cyril Duclos leads a dynamic research program, supervises graduate students, and collaborates with multidisciplinary teams to advance rehabilitation science. His lab at CRIR integrates clinical, technological, and biomechanical approaches to improve mobility and independence in individuals with neurological impairments.

Wilson Truccoloمشاهده پروفایل

دانشیار

• collective neural dynamics
• computational neuroscience
• Epilepsy
• +۵ مورد دیگر

Wilson Truccolo is the Pablo J. Salame Goldman Sachs Associate Professor of Computational Neuroscience at Brown University's Carney Institute for Brain Science. His research focuses on understanding how human brain function emerges from collective neural dynamics and how neurological disorders like epilepsy result when these dynamics become pathological. He studies neural activity at multiple scales, from single neurons to large-scale brain networks. Truccolo's research interests center on collective neural dynamics, computational neuroscience, epilepsy, neuroengineering, statistical neuroscience, and theoretical neuroscience. His work integrates advanced computational methods with experimental neuroscience to model and understand brain function and dysfunction. He particularly investigates how neural networks generate normal brain activity and how this activity becomes pathological during epileptic seizures. His recent publications demonstrate a strong focus on seizure dynamics, neural network modeling, and brain-computer interfaces. His research shows consistent emphasis on understanding the computational principles underlying neural activity, with applications to both fundamental neuroscience and clinical problems like epilepsy. His work frequently involves collaboration with clinical researchers to translate computational findings into potential therapeutic approaches. Truccolo has received significant research funding, including an NIH NINDS R01 grant as Principal Investigator. His research has been published in high-impact journals including Nature Scientific Reports, PLoS Computational Biology, The Lancet Neurology, and Nature Communications. He teaches NEUR 2110 - Statistical Neuroscience at Brown University, reflecting his expertise in quantitative approaches to understanding brain function. His research program involves developing sophisticated computational models to analyze neural data across multiple spatial and temporal scales.

Lucette Toussaintمشاهده پروفایل

استاد

• Motor Imagery
• Sensorimotor Representations
• Cognitive Psychology
• +۳ مورد دیگر

Lucette Toussaint is a Professor at the University of Poitiers, affiliated with the Center for Research on Cognition and Learning (CeRCA) and the Maison des Sciences de l'Homme et de la Société (MSHS). She serves as Director of the Doctoral School 'Humans in Society' and leads research in sensorimotor cognition. Her research investigates: Motor imagery and sensorimotor representations Effects of short-term immobilization on cognitive processes Embodied cognition and action-language relationships Aging and cognitive plasticity Sensorimotor adaptation in rehabilitation contexts Recent publications (2020-2024) demonstrate consistent focus on sensorimotor plasticity, with themes including: effects of limb immobilization on cognition, motor imagery applications in sports/rehabilitation, embodied memory mechanisms, and cognitive aging. Research methodologies combine behavioral experiments, psychometric validation, and clinical applications. She actively supervises doctoral researchers, including current students working on sensorimotor disorders in aging, embodied memory mechanisms, and interpersonal body representation. Past students have investigated attentional capacities in aviation, clinical motor imagery applications, and developmental aspects of motor cognition.

Jérémy Villatteمشاهده پروفایل

مدرس

• Cognitive Psychology
• Neuroscience
• Aging
• +۴ مورد دیگر

Jérémy Villatte is a Lecturer at the University of Tours and a member of the Center for Research on Cognition and Learning (CeRCA), affiliated with the research team Vision, Psychopathology of Memory (ViPsyM) . His work focuses on the intersection of memory, aging, and sensorimotor functions through an embodied cognition lens. Research Themes : Aging, psychopathology of memory, sensorimotor skills, inner experience, cognitive ergonomics. Collaborations : Collaborates with researchers from Rennes 2, Liège, Lille, and other institutions to explore embodied cognition in memory studies. Recent publications highlight his focus on embodied cognition and memory aging , particularly how physical constraints like immobilization affect cognitive processes. Trends in his work include experimental psychology, cognitive neuroscience, and applications in aging simulators to model memory pathologies.

• Cognitive Neuroscience
• Neural Dynamics
• Time Perception
• +۵ مورد دیگر

Ignacio Polti is a postdoctoral researcher at the Norwegian University of Science and Technology (NTNU) affiliated with the Kavli Institute for Systems Neuroscience and the Faculty of Medicine and Health Sciences . His work focuses on understanding the cognitive and neural mechanisms of time perception using cross-species approaches in humans and rodents. Education: PhD in Cognitive Neuroscience (NTNU) MSc in Cognitive Science (École Normale Supérieure, Paris) MSc in Psychology (Universidad de Buenos Aires) Research Interests center on predictive processing frameworks, examining how the hippocampus and entorhinal cortex contribute to temporal cognition. In humans, he investigates sensorimotor timing (e.g., intercepting moving targets, musical timing), while in rodents, he explores episodic timing through memory-based duration estimation. His work integrates fMRI , M/EEG , and computational models to uncover how event segmentation and statistical context adaptation shape time perception. Notable Scientific Recognition: 2023 Journal of Neuroscience Spotlight: Highlighted for methodological and scientific significance. Key Collaborations include the Moser group (Nobel laureates May-Britt and Edvard Moser) and the Doeller group at the Max Planck Institute. His outreach activities include a Neuro Current podcast interview and press coverage in Norwegian and international media.

Katrine Linnea Nergårdمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Intelligent Systems
• Computational Neuroscience
• +۳ مورد دیگر

Katrine Linnea Nergård is a Research Fellow at the University of Oslo , affiliated with the Faculty of Mathematics and Natural Sciences . She is associated with the Robotics and Intelligent Systems research group, focusing on computational neuroscience and robotics. Her research explores the intersection of machine learning , motor imagery decoding , and sensorimotor integration , particularly in the context of grasping tasks and hand dominance effects. Her work contributes to advancements in brain-computer interfaces and neural signal processing. Katrine has published in computational neuroscience conferences, including a 2022 paper on motor imagery decoding. She is actively involved in academic research and maintains affiliations with interdisciplinary teams. Her current email contact is katrner@student.matnat.uio.no .

• Neuroscience
• Motor Control
• Proprioception
• +۲ مورد دیگر

Julie Messier is a full Professor at the Université de Montréal's Faculty of Medicine - School of Kinesiology and Physical Education , affiliated with the Centre d'éducation physique et des sports (CEPSUM) . Her research focuses on: Neural mechanisms of movement planning Sensory integration and proprioception Neurological disorders (Parkinson's, Huntington's, Tourette's) Virtual reality applications in sensorimotor rehabilitation Key projects include: Interaction between proprioception and attention in cervical dystonia (2021-2023) Proprioceptive training effects on seniors (2021-2022) Visuomotor adaptation as Huntington's biomarker (2011-2019) Physical activity in Parkinson's disease (2012-2016) Her work bridges neuroscience and kinesiology, with funding from foundations like Parkinson Canada and the Canadian Institutes of Health Research (CIHR). She supervises graduate students in sensorimotor research and has contributed to understanding neurological impacts on motor control through 15+ publications.

• Cortical control mechanisms of muscle contraction
• Neurophysiology of muscle fatigue
• Motor control
• +۳ مورد دیگر

Fabien Dal Maso is an Associate Professor at the University of Montreal's Faculty of Medicine, specifically within the School of Kinesiology and Physical Activity Sciences. He maintains his research office at the UdeM Campus in Laval, room 5226. His academic credentials include a Doctorate in Sciences and Techniques of Physical and Sporting Activities from the University of Toulouse III ‒ Paul Sabatier, followed by postdoctoral positions at both McGill University and the University of Montreal. Dr. Dal Maso's research focuses on the cortical control mechanisms of muscle contraction and movement and the neurophysiology of muscle fatigue . His work bridges neuroscience, biomechanics, and rehabilitation science, with particular emphasis on human movement patterns, fatigue mechanisms, and sensorimotor integration. His current research projects include investigating the brain's contribution to human bipedalism control, cortical motor reorganization during physical fatigue, and early detection of muscle fatigue indicators. Analysis of his recent publications (2016-2024) reveals a strong trajectory in understanding the intersection of neuroscience and biomechanics, with increasing focus on practical applications in rehabilitation, musical performance, and workplace ergonomics. His work demonstrates growing interdisciplinary collaboration across fields including neuroscience, engineering, music science, and rehabilitation medicine. Dr. Dal Maso actively supervises graduate students, with recent completions including both Master's and PhD candidates. His research is supported by multiple funding agencies including FRQNT, CRSNG, FRQSC, and FRQS, reflecting the significance and interdisciplinary nature of his work. He maintains active research affiliations with the Quebec Bioimaging Network (RBIQ), the Interdisciplinary Center for Brain and Learning Research (CIRCA), and the Provincial Network for Adaptation-Rehabilitation Research. Additionally, he serves on the Research Ethics Committee of the University of Montreal, demonstrating his commitment to responsible research practices.

• Neurodevelopmental Diseases
• Brain Trajectories
• Anorexia Nervosa
• +۷ مورد دیگر

Clara Moreau is an Assistant Professor in the Department of Psychiatry and Addiction at the University of Montreal , where she leads the BRIGHT Lab (Brain Research using Imaging Genetics methods in Human Transdiagnostically) . Her work bridges neuroscience, genetics, and psychiatry to address neurodevelopmental and psychiatric conditions. Ph.D. in Neuroscience (2020), University of Montreal M.Sc. in Cognitive Sciences (2014), Cogmaster (ENS/Paris Descartes) B.Sc. in Psychology (2012), Paris Descartes University Her research focuses on neurodevelopmental diseases, particularly anorexia nervosa, where she investigates brain trajectories and relapse prediction through longitudinal studies at CHU Sainte-Justine Hospital. She co-leads the ENIGMA-Eating Disorders Initiative , a global neuroimaging project spanning 20 institutions, and directs the ENIGMA-rsfMRI working group to standardize functional MRI analysis. Key contributions include identifying thalamo-sensorimotor hyperconnectivity across psychiatric diagnoses, developing multiverse analytical approaches for fMRI reproducibility, and exploring brain plasticity in prolonged malnutrition contexts. Her work combines neuroimaging genomics, polygenic risk scores, and transdiagnostic frameworks to redefine psychiatric classification beyond symptomatology. Major funding : NIH R01 grant (1U01MH136221-01, 2025-2029) for studying eating disorders and clinical outcomes. 2025: Invited lecture at Douglas Mental Health Institute 2024: Keynote at ENIGMA Developmental Summit 2023: Seminar at TU Dresden 2022: Talk on genetic pleiotropy at Timone Institute

• Vocal Acoustics
• Speech Intelligibility
• Music Perception
• +۴ مورد دیگر

Allan Vurma is a Professor of Musicology at the Estonian Academy of Music and Theatre, specializing in vocal acoustics and singing science. With a career spanning over three decades, he holds doctoral and master's degrees from the same institution and has served in progressive roles including Senior Research Fellow (2010-2018) and Research Professor (2018-2019). His academic background includes training in radio engineering (Tallinn Polytechnical Institute) and vocal performance (Estonian Academy of Music). Vurma's research explores voice production mechanisms , speech intelligibility in singing , and acoustic perception . He investigates how vocal techniques affect text comprehension in music performance, with recent focus on plosive-vowel interactions in reverberant environments. His work integrates experimental phonetics with performance analysis, advancing evidence-based vocal pedagogy. Publication analysis reveals consistent focus on voice science applications across 92+ works. Recent articles demonstrate evolving methodology from perceptual studies toward computational acoustic analysis, particularly examining how consonantal articulation affects sung text clarity. Longitudinal research themes include timbre-pitch interactions, vocal tract dynamics, and perceptual-cognitive aspects of musical performance. Scientific Recognition: Cultural Endowment of Estonia Annual Award (2019) Tallinn University Recognition for Thesis Supervision Excellence (2007) Tallinn City Testimonial for Conference Leadership (PEVOC 2021) Research Leadership: Directs PRG1552 project (2022-2026, €700,350) on sung text intelligibility. Previously contributed to 7 funded projects including 'Performative Aspects of Music' (IUT12-1) and acoustic laboratory modernization. Supervises 5 doctoral candidates researching vocal techniques, acoustic ecology, and performance practices. Coordinates Estonia's World Voice Day activities since 2013. Leads the Acoustic Analysis Laboratory at EAMT and serves on editorial boards of Musicae Scientiae. Active in international collaborations through PEVOC, ESCOM, and Collegium Medicorum Theatri networks.