Find Academic Supervisors

• Motor Development
• Child Psychology
• Neuromuscular Function
• +3 more

Annick Ledebt is an Assistant Professor at Vrije Universiteit Amsterdam, affiliated with the Faculty of Behavioural and Movement Sciences. She holds multiple departmental roles in Learning and Performance, IBBA, and AMS - Rehabilitation & Development. Her research focuses on motor development, child psychology, and neuromuscular function, with emphasis on developmental disorders and rehabilitation strategies. Her work addresses topics such as infant attachment behaviors, motor coordination in children, handwriting biomechanics, and the influence of parental exercise behaviors on child development. Recent studies highlight exploratory behaviors in infants and the impact of environmental support structures on motor skill acquisition. Dr. Ledebt has supervised 4 PhD theses and contributed to editorial work for Infant and Child Development . She teaches courses including Neuro- en Revalidatiepsychologie and Topics in Rehabilitation, emphasizing practical applications in motor learning and rehabilitation. Her interdisciplinary approach bridges neuroscience, pediatrics, and educational psychology to advance therapeutic interventions for developmental challenges.

• Neuroscience
• Movement Disorders
• Deep Brain Stimulation
• +3 more

Tjitske Heida is an Associate Professor in the Biomedical Signals and Systems department at the TechMed Centre. Her research focuses on movement disorders, particularly Parkinson’s disease and essential tremor, with a focus on neuroengineering solutions such as deep brain stimulation (DBS), functional MRI analysis, and wearable sensor technologies. She explores neural mechanisms underlying motor control and develops innovative diagnostic and therapeutic tools. Her work integrates neuroimaging (fMRI), electrophysiological recordings, and computational modeling to study sensorimotor pathways and network connectivity. Recent projects include ankle sensor-based detection of freezing of gait, intraoperative tremor quantification using accelerometry, and novel fMRI approaches to manipulate sensorimotor loops in tremor patients. Her research contributes to UN Sustainable Development Goals related to health and well-being. Collaborations span neurology, biomedical engineering, and clinical neurophysiology. While no explicit awards or grants are listed, her extensive publication record (117+ outputs) demonstrates sustained academic impact. She oversees research activities involving advanced technologies like augmented reality cues for gait improvement and directional DBS electrode modeling. Her team’s work bridges clinical needs with engineering innovation to address unmet challenges in movement disorder management.

Sebastian PannaschView profile

Professor

• Perception
• Attention
• Eye Movements
• +7 more

Sebastian Pannasch is a Professor of Engineering Psychology and Applied Cognition at TU Dresden's Faculty of Science. He holds a Dr. rer. nat. (2003) and Habilitation (2012) from TU Dresden, with additional research experience at Aalto University (2009-2012) and UC Santa Cruz (2008). His research focuses on perception, attention, and eye movement dynamics in active vision, particularly in scene perception and human-machine interaction. He investigates fixation patterns, their link to cognitive processing modes, and applications in safety-critical domains like driving. His work spans basic science (e.g., neural correlates of gaze behavior) and applied contexts (e.g., gaze-based control systems). Education: 1999: Diploma in Psychology and Medicine, TU Dresden 2003: PhD (Dr. rer. nat.), TU Dresden 2012: Habilitation, TU Dresden Research interests include oculomotor behavior, ambient/focal attention, and translational applications in health and technology. His recent work explores executive functions in self-structured tasks and the impact of visual design patterns on decision-making. Publications highlight interdisciplinary approaches, with studies in NeuroImage, Journal of Eye Movement Research, and Frontiers in Systems Neuroscience. Collaborations include projects on ALS oculomotor deficits and VR-based visuomotor adaptation.

Farshad Alizadeh MansouriView profile

Associate Professor

• Cognitive Neuroscience
• Neurophysiology
• Executive Control
• +3 more

Farshad Alizadeh Mansouri is an Associate Professor in the Physiology Department at Monash University, affiliated with the Monash Biomedicine Discovery Institute. He holds additional roles as Director of the Cognitive Neuroscience Laboratory and Visiting Scientist at RIKEN Institute in Japan. His research focuses on the neural basis of executive control and cognitive flexibility, particularly involving the prefrontal cortex. Techniques include behavioral studies, electrophysiology in animal models, and brain stimulation in humans. Education: BSc in Biology (Zoology), MSc in Medical Physiology, PhD in Neurophysiology. He has led and collaborated on multiple grants, including projects on brain stimulation, bushfire effects on brain function, and cycling safety. Awards include prizes for studies on the insula’s role in cognition (2018, 2019). Research interests revolve around prefrontal cortex function, cognitive flexibility, and executive control mechanisms. Recent work explores how morphine, music, and neuromodulation impact cognitive processes. Over 47 publications span journals like Science , Nature Reviews Neuroscience , and Brain . Key Projects : Effects of bushfires on adult brain structure (NHMRC-funded) Transcranial ultrasound neuromodulation Neural basis of prefrontal cortex stimulation Grants : ARC Centre of Excellence for Integrative Brain Function (associate investigator). Labs/Teams: Cognitive Neuroscience Lab at Monash; collaborates with RIKEN and international teams. Future work emphasizes cross-species studies and clinical applications of cognitive neuroscience insights.

Dan FehringView profile

Research Fellow

• Mental Health
• Neuromodulation
• Addiction
• +8 more

Dan Fehring is a Research Fellow in the Department of Psychology at Monash University, specializing in cognitive neuroscience, neuromodulation, and executive control mechanisms. He focuses on understanding how prefrontal cortex functions modulate decision-making, addiction, and sex differences in brain processes. His work contributes to UN Sustainable Development Goals related to mental health and well-being. Research interests include neuromodulation techniques (e.g., TDCS), neuropharmacology (opioids, cannabis), and cognitive control mechanisms. He has published extensively on topics like prefrontal stimulation effects, dimensional bias in primates, and music’s role in conflict resolution. His articles span 2016–2025, with recent work exploring stimulation safety, morphine’s cognitive impacts, and biochemical markers of cannabis use. Education: Not explicitly stated in the provided text. Awards: Early Career Researcher Presentation Award (2017) Monash Biomedicine Discovery Institute and RIKEN Fellowship (2020) Monash Discovery Institute Rising Star (2022) Activities: Active in conferences (e.g., Australasian Cognitive Neuroscience Society), peer review (Cell Reports), and seminars. His work bridges basic neuroscience and clinical applications, with a focus on translational research for mental health and addiction. He collaborates internationally and has been cited over 70 times in Scopus.

Tony PansellView profile

Professor

• Visuo-Vestibular Integration
• Neuro-Ophthalmology
• Traumatic Brain Injury
• +2 more

Professor Tony Pansell researches visual processing and eye-motor control at Karolinska Institutet's Eye Center of Excellence. His work bridges basic neurophysiology and clinical applications for brain injury rehabilitation. Research Focus: Studies vestibular-ocular interactions in concussion, Parkinson's disease biomarkers, and pediatric vision assessment. Leads projects on optokinetic therapy and color-filter interventions for perceptual disorders. Methodology: Combines eye-tracking, OCT imaging, and fMRI to quantify visual pathway dysfunction.

• Neuroscience
• Cognitive Psychology
• Social Cognition
• +3 more

Dr. Richard Ramsey is a Lecturer at the Department of Health Sciences and Technology at ETH Zürich. His research focuses on social cognition, cognitive control mechanisms, and the intersection of artificial intelligence with human behavior. He teaches courses like 'The Social Brain: Critical Perspectives on Science, Society and Neurodiversity.' Key research areas include neurophysiological correlates of imitation, AI ethics, loneliness in neurorehabilitation contexts, and methodological advancements in psychological data analysis. His work often employs computational models and neuroimaging techniques to explore decision-making processes and social perception. Developed Bayesian methods for analyzing time-to-event data in psychological studies Investigated anthropomorphic perceptions of humanoid robots Explored how art education impacts aesthetic and cognitive functions No scientific awards are explicitly listed in the provided materials. His academic contributions span experimental psychology, neuroscience, and interdisciplinary applications of cognitive science.

• Neurorehabilitation
• Movement Disorders
• Neuroscience
• +3 more

Lena Salzmann is a Lecturer at the Department of Health Sciences and Technology at ETH Zürich, Switzerland. Her primary affiliation is within the Rehabilitation Engineering group. She specializes in neurorehabilitation, movement disorders, and biomedical engineering. Her research focuses on integrating neurophysiological insights with clinical applications, particularly in Parkinson’s disease, gait analysis, and neurofeedback systems. Her academic work addresses interdisciplinary challenges in neuroscience and engineering, including electrocortical activity during movement adaptability, neuro-cognitive effects of sensory degradation, and precision rehabilitation strategies. She explores cutting-edge technologies such as functional near-infrared spectroscopy and implanted deep brain stimulation systems. No scientific awards are explicitly mentioned in the provided text. Her research has been published in high-impact journals, with recent studies focusing on Parkinson’s disease pathophysiology and neurotechnology applications. Lena Salzmann’s professional activities involve advancing rehabilitation engineering through collaborative projects in motor control, sensory perception, and clinical neurotechnology. She contributes to ETH Zürich’s interdisciplinary research ecosystem, bridging gaps between basic neuroscience and clinical interventions.

Ruben PortuguesView profile

Professor

• Neuroscience
• Neural Circuits
• Sensorimotor Integration
• +3 more

Ruben Portugues is a Professor at the Technical University of Munich (TUM) within the Institute of Neuroscience, part of the TUM School of Medicine. His academic journey includes a PhD in theoretical physics from the University of Cambridge, followed by postdoctoral research in neurobiology at Harvard University and the Max Planck Institute of Neurobiology. He leads the Focus Group on 'Brain Circuit Function and Dysfunction.' His research focuses on understanding how the brain encodes sensory information and translates it into motor actions. Using zebrafish as a model organism, he employs advanced techniques like whole-brain calcium imaging, electrophysiology, and computational modeling to study sensorimotor integration and neural circuit dynamics. Key projects involve mapping neural activity during behaviors, analyzing cerebellar circuits, and investigating mechanisms of learning and adaptation. Portugues has contributed to breakthroughs in understanding rheotaxis, optomotor responses, and the neural basis of decision-making. His lab develops tools like the stytra software for behavioral experiments and collaborates on anatomical atlases using brainrender . His work bridges theoretical physics and experimental neuroscience, emphasizing interdisciplinary approaches. He holds the Rudolf Mößbauer Tenure Track Fellowship and has mentored numerous researchers. His lab is affiliated with the TUM Institute for Advanced Study (TUM-IAS), contributing to initiatives in advanced computation and neuroscience.

• Motor Learning
• Sensory Integration
• Neurophysiology
• +5 more

Liana E. Brown is an Associate Professor in the Department of Psychology at Trent University, specializing in motor-sensory integration. Her research explores how sensation, perception, and movement interact during everyday tasks. Education: B.Sc., M.Sc. in Psychology from the University of Waterloo M.S., Ph.D. in Psychology from Pennsylvania State University Research Areas: She investigates four core questions: (1) How hands enhance vision/attention, (2) Limb spatial tracking, (3) Motor capabilities’ impact on cognition, and (4) Observational motor skill learning. Her work focuses on neural mechanisms underlying sensory-motor exchange. Research Trends: Publications from 2015–2025 reveal a progression from fundamental studies on limb positioning and sensory integration to applied research in concussion assessment, Parkinson’s disease, and sports physiology. Key themes include motor learning, neurorehabilitation, visuomotor coordination, and biomechanics. Teaching & Supervision: During 2025–26, she will supervise 1 graduate student, up to 2 honours thesis students, and 2 practicum students.

William KwanView profile

Research Fellow

• Neuroscience
• Neuroengineering
• Vision Science
• +3 more

William Kwan is a Postdoctoral Research Fellow at the Queensland Brain Institute (University of Queensland). His research focuses on neural circuitry, optogenetic stimulation for artificial vision, and neuroregenerative strategies following brain injury. He investigates retinal ganglion cell projections, astrocyte roles in injury response, and primate visual system development. Key research areas include: Optogenetic approaches to restore visual function Neural circuit mapping in primates Role of astrocytes in brain injury repair Development of visuomotor systems His recent work demonstrates how stochastic optogenetic stimulation improves retinal cell efficacy and how infant-like astrocyte behaviors enhance adult brain recovery. He explores predator fear circuits in primates and connectivity between pulvinar nuclei and cortical regions. Kwan’s studies often use marmoset and rodent models to bridge basic neuroscience with translational applications. His publications highlight advancements in understanding: Artificial vision systems Stroke recovery mechanisms Neural plasticity in sensory systems Sexually dimorphic brain circuits No awards or grants are listed in the provided materials. His work is part of the Queensland Brain Institute’s mission to advance neuroscience research with clinical relevance.

• Neural Engineering
• Neuroscience
• Brain-Computer Interfaces
• +3 more

Steven Chase is a Courtesy Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, part of the College of Engineering. His research focuses on understanding neural mechanisms underlying learning, motor control, and the development of brain-computer interfaces (BCIs). He investigates how neural activity adapts during skill acquisition and explores the interplay between sensory input, motor output, and cognitive processes. His work emphasizes the neural basis of learning and adaptation, with a particular focus on motor cortex dynamics and the design of BCI systems. Recent studies explore how reward influences movement vigor, the role of limb posture in motor adaptation, and the neural substrates of choking under pressure. Chase's research also addresses the stability and plasticity of cortical representations during skill learning and sensory deprivation. Key trends in his publications include advancing BCI technology through low-dimensional control frameworks, analyzing neural memory traces during learning, and dissecting the multidimensional constraints shaping neural activity patterns. His work bridges computational neuroscience, neurophysiology, and engineering to develop translational solutions for neural prosthetics and rehabilitation. Chase collaborates widely on projects involving neural decoding algorithms, closed-loop systems, and the optimization of BCI usability. His research has implications for understanding fundamental neural processes and developing assistive technologies for motor impairments.

Manu MadhavView profile

Assistant Professor

• Neural Circuits
• Spatial Navigation
• Memory Systems
• +4 more

Manu Madhav is Assistant Professor at the School of Biomedical Engineering, University of British Columbia, and Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control. His research investigates neural circuit mechanisms underlying spatial navigation and memory through rodent electrophysiology and human virtual reality experiments. Research focuses on neural computation of spatial representations, virtual reality paradigms for behavior analysis, neural manifold geometry, and translational applications for Alzheimer's detection. The lab develops novel experimental systems including the Dome VR apparatus for freely locomoting rodents and non-invasive field tracking methods. Recent publications examine path integration recalibration, neural coding strategies, and geometric representations in hippocampal circuits. Field research advances include techniques for tracking electric fish in natural habitats. Tier 2 Canada Research Chair in Neural Circuits of Cognition and Control Leads the Neural Circuits of Cognition and Control Laboratory developing neuroengineering approaches to map cognition. Research combines electrophysiology, virtual reality, computational modeling, and field biology to understand neural algorithms.

• Computational Neuroscience
• Systems Neuroscience
• Neural Circuits Characterization
• +7 more

Matthew Smith is a Professor in Biomedical Engineering and Neuroscience Institute with a focus on computational and systems neuroscience. As Co-Director of the Center for the Neural Basis of Cognition, his research explores neural circuits, motor control, and spatial cognition. His work bridges experimental and computational methods, including studies on neural plasticity, electrophysiological recordings, and non-invasive neurostimulation techniques. Key contributions include advancing methods for estimating intracranial pressure and optimizing brain stimulation protocols. His interdisciplinary approach integrates machine learning, statistical analysis, and neuroimaging to understand complex brain functions. Research interests span neural coding mechanisms, visual perception dynamics, and the interplay between arousal systems and motor planning. Notable projects include investigations into V4 neuronal activity modulation by recent experience and the development of compact deep neural network models for visual cortex analysis. Smith’s lab employs advanced signal processing tools, such as SLEX analysis and latent dynamic factor modeling, to decode high-dimensional neural data. His recent publications highlight breakthroughs in understanding working memory robustness, transcranial ultrasound modulation specificity, and the spatial organization of prefrontal cortical networks. While no formal awards are listed, his extensive grant-funded research includes collaborations on cerebral autoregulation studies and neurovascular impedance modeling. Advising activities focus on training interdisciplinary PhD candidates in systems neuroscience and neural computation.

• Biomedical Engineering
• Neuroscience
• Neuroprosthetics
• +4 more

Dr. Orsolya Kekesi is a Postdoctoral Research Fellow at The University of Sydney's School of Biomedical Engineering. Her work focuses on neuroprosthetics, neuronal tissue preservation, and astrocyte-neuron interactions. She advises one current PhD student, Asma IQBAL, on a project involving cochlear implants and MRI visualization. Dr. Kekesi's research integrates electrophysiological techniques with computational modeling to address challenges in neural interface devices and neurodegenerative diseases. Her research interests span biomedical engineering, neuroscience, neuroprosthetics, and cellular neuroscience. Notable projects include developing prolonged brain slice incubation methods and studying astrocytic modulation of potassium dynamics. She has collaborated on studies involving facial nerve paralysis models and visual prosthetics. Recent publications (2020-2025) highlight advancements in neuroprosthetic design, neuromodulation techniques, and in vivo electrophysiology. A 2024 grant supports machine learning applications for heart-brain disease classification. Her work contributes to improving neuroprosthetic efficacy and understanding glial-neuronal communication in health and disease. Labs/Teams: Active member of the School of Biomedical Engineering's neuroengineering group, collaborating with Prof. Gregg Suaning and Dr. Yoram Buskila on neural interface technologies.