جستجوی استاد راهنمای دانشگاهی

Attila Korik is a Researcher at the University of Bath's Bath Institute for the Augmented Human, specializing in Artificial Intelligence and Machine Learning applied to neurotechnology. His work focuses on Brain-Computer Interfaces (BCIs), electroencephalography (EEG), and neurophysiological markers for assessing disorders of consciousness. He is a key member of the Turing AI Fellowship project on 'AI for Intelligent Neurotechnology and Human-Machine Symbiosis.' Research Interests: Korik's primary areas include BCI development for clinical applications, real-time neural feedback systems, and machine learning-driven analysis of neurophysiological data. His work intersects neuroscience, computer science, and clinical medicine to advance human-machine interaction and neurological diagnostics. Recent Contributions: His 2024 research explores objective neurophysiological markers for PDoC assessment using motor and auditory BCIs, as well as real-time EEG-based object classification. He also investigates motion trajectory decoding in upper limb BCIs using deep learning methods. Grants & Collaborations: Active in the Turing AI Fellowship (2023-2025), focusing on AI-driven neurotechnology. Collaborates internationally on projects involving source localization, functional connectivity, and state-space modeling in neural systems. Labs/Teams: Affiliated with the Bath Institute for the Augmented Human, a multidisciplinary group advancing neurotechnology and human-augmentation systems.

• Artificial Intelligence
• Machine Learning
• Neuroscience
• +۳ مورد دیگر

Michael Lifshitz is an Assistant Professor of Psychiatry at McGill University and the Jewish General Hospital in Montreal. He holds a PhD in Neuroscience from McGill and completed a postdoctoral fellowship in Anthropology at Stanford University. His research integrates phenomenology, neuroscience, and ethnography to explore the plasticity of consciousness, focusing on practices such as meditation, hypnosis, psychedelics, and prayer that alter subjective experiences and agency. Key research interests include how these practices modulate feelings of agency, allowing thoughts, actions, and sensations to feel external to the self. His work spans cultural neurophenomenology, psychedelic thought, and the intersection of ritual context with mental states. His recent publications explore topics like ketamine’s pharmacological effects, virtual reality-guided meditation for older adults, and the neurophenomenology of spiritual experiences. He has co-edited works on hypnosis and meditation, emphasizing cross-disciplinary approaches. Michael’s research is supported by collaborations with institutions like the Division of Social and Transcultural Psychiatry at McGill.

• Neuroscience
• Psychiatry
• Cultural Anthropology
• +۳ مورد دیگر

Prof. Dr. Sarah Meissner is an Assistant Professor at the Department of Health Sciences and Technology, ETH Zürich, affiliated with the Institute of Human Movement Sciences and Sport. Her research focuses on neural mechanisms underlying movement control, sleep physiology, and neuromodulation. She investigates how arousal levels, measured through pupil dynamics and EEG, influence cortical excitability and sleep architecture. Her work bridges clinical neuroscience with neuroimaging techniques, exploring applications like biofeedback for arousal regulation. Research Interests: Neural basis of motor control Sleep-wake neurophysiology Pupilometry and arousal dynamics fMRI and EEG applications Neuromodulation therapies Clinical neuroscience of movement disorders Her recent studies highlight novel methods to modulate arousal states and reveal how sleep oscillations impact cognitive and motor performance. No scientific awards or grants are explicitly listed in the provided information. Prof. Meissner’s work is conducted within multidisciplinary teams at ETH Zürich, though specific lab affiliations are not detailed. No advising relationships or student collaborations are noted in the data provided.

• Neuroscience
• Motor Control
• Sleep Physiology
• +۴ مورد دیگر

Hannah Cross is a Research Associate at the University of Manchester's Division of Psychology, Communication and Human Neuroscience. She focuses on improving hearing care for older adults with cognitive impairment and dementia, particularly in care home settings. Her work addresses barriers to hearing aid use, cochlear implant outcomes, and behavioral interventions for caregivers. Education: PhD in Addressing the communication needs of long-term care home residents with dementia and hearing loss (University of Manchester, 2023) MSc Cognitive Neuroscience (University of York, 2018) BSc Psychology with Neuropsychology (Bangor University, 2017) Research Interests: Her research spans dementia care, hearing loss interventions, and audiological challenges in aging populations. Key projects include evaluating cochlear implants for cognitively impaired older adults and developing behavior change interventions for care staff to improve hearing support in care homes. Awards: Distinguished Achievement Medal 2024 Doctoral Academy's Postgraduate Researcher of the Year 2024 Grants & Projects: Her current projects include a Manchester Biomedical Research Centre-funded study on cochlear implants for older adults with cognitive impairment (2025-2027) and a feasibility study on hearing loss prevalence in dementia patients (2023-2025). She also contributed to the development of an evidence-based intervention for care staff in long-term care homes. Labs & Collaborations: She is part of the Manchester Centre for Audiology and Deafness (ManCAD), collaborating with experts like Prof. Paul Dawes and Dr. Ruth Millman to advance audiological research and clinical practice.

• Dementia
• Hearing Loss
• Cognitive Impairment
• +۴ مورد دیگر

Mohsen Fatehifar is a Researcher in the Division of Psychology Communication and Human Neuroscience. His work focuses on interdisciplinary research at the intersection of speech technologies, healthcare, and biomedical informatics. He holds a Doctor of Philosophy and has published peer-reviewed articles in journals like the International Journal of Audiology and the Journal of Biomedical Informatics. Education: PhD in Psychology Communication and Human Neuroscience. Research Interests: Mohsen’s research spans Speech Recognition, Text-to-Speech systems, and their clinical applications in hearing assessment. He also explores machine learning techniques for drug interaction analysis. His work integrates engineering principles with healthcare challenges, such as sensory aid development and automated diagnostic tools. Recent Work Trends: Recent articles highlight advancements in automated hearing tests using ASR and TTS technologies, as well as innovative methods for drug interaction extraction via attention mechanisms. These studies emphasize practical applications in healthcare and biomedical informatics. Collaborations: Collaborations involve multidisciplinary teams, though specific institutional partnerships remain unspecified. Labs/Teams: No dedicated lab or team is explicitly mentioned, though his research suggests involvement in interdisciplinary groups.

• Speech Recognition
• Text-to-Speech Technologies
• Automatic Speech Recognition
• +۵ مورد دیگر

Nori Jacoby is an Assistant Professor in the Department of Psychology at Cornell University and a Research Group Leader at the Max Planck Institute for Empirical Aesthetics in Frankfurt. His research examines how internal representations shape sensory and cognitive abilities through computational approaches, cross-cultural studies, and large-scale behavioral experiments. Ph.D. from Hebrew University of Jerusalem (Edmond and Lily Safra Center for Brain Sciences) Postdoctoral training at MIT, UC Berkeley, and Columbia University Research areas include: Computational modeling of human perception Cross-cultural analysis of musical cognition Collective behavior in social networks Recent publications focus on: Global rhythm perception patterns Machine learning alignment with human cognition Oral transmission mechanisms in music evolution Scientific awards: NSF grant for collaborative creativity research Presidential Scholar in Society and Neuroscience Lab: Cornell Computational Cognition (CoCoCo) Lab

• Cognitive Science
• Computational Neuroscience
• Music Cognition
• +۳ مورد دیگر

Dr. Fleur Bouwer is an Assistant Professor at the Cognitive Psychology Unit of Leiden University, affiliated with the Music Cognition Group and Amsterdam Music Lab. Her research focuses on rhythm perception and its neural mechanisms, combining cognitive neuroscience approaches with behavioral studies. She holds an NWO Veni Grant for investigating temporal expectations in rhythm and has received awards such as the Distinguished Women Scientists Fund and ABC Talent Grant for postdoctoral work. Her work spans cross-species comparisons (e.g., rhesus monkeys) and developmental studies (e.g., newborns). She collaborates widely, including with Prof. Henkjan Honing and Dr. Heleen Slagter, and actively engages in public science communication through lectures and media appearances. Key Roles: Assistant Professor (Leiden University), Postdoctoral Researcher (University of Amsterdam), Affiliate Researcher (Music Cognition Group) Education: PhD in Cognitive Neuroscience (likely from University of Amsterdam, based on collaborations) Grants: NWO Veni (2020), Distinguished Women Scientists Fund (2017), ABC Talent Grant (2016) Public Engagement: NEMO lectures, Atlas TV features, Volkskrant articles, and science communication projects like Toontjehoger Her research explores beat perception, rhythmic entrainment, and the interplay between attention and memory-based expectations. She uses EEG, ERP, and behavioral paradigms to study how rhythmic patterns are processed in the brain, with implications for music therapy and clinical applications (e.g., Parkinson’s disease). Her publications emphasize methodological rigor in cross-species research and highlight differences between beat-based and pattern-based temporal expectations. Recent work includes updated reviews on ERP methods for studying rhythm perception across species and collaborations on rhythmic complexity influenced by musical training. Awards: NWO Veni Grant, Distinguished Women Scientists Fund, ABC Talent Grant Labs/Teams: Cognitive Psychology Unit (Leiden), Cognition & Plasticity Lab (UvA), Music Cognition Group

• Cognitive Neuroscience
• Music Cognition
• Rhythm Perception
• +۳ مورد دیگر

Marcella Montagnese is a Junior Research Fellow in Biological and Medical Sciences at Christ’s College, Cambridge, and a Research Associate in Neuroinformatics within the Department of Psychology. She is also an affiliate of the Department of Clinical Neurosciences. Her work bridges computational methods, clinical neuroscience, and mental health research. Research Focus : Dr. Montagnese investigates dementia prediction using AI-driven tools, neuropsychiatric symptoms in neurodegenerative disorders, and metacognition in psychosis. She employs machine learning, neuroimaging, and behavioral neuroscience approaches to address clinical challenges such as early diagnosis of Alzheimer’s disease and understanding hallucination mechanisms. Collaborations : She collaborates with Prof. Zoe Kourtzi (Department of Psychology) and Dr. Richard Bethlehem (Research Associate), focusing on interdisciplinary projects at the intersection of neuroinformatics and clinical practice. Her research emphasizes translating computational models into actionable clinical insights. Labs & Teams : Affiliated with neuroinformatics and clinical neuroscience groups, her work contributes to advancing technologies for early disease detection and improving mental healthcare strategies.

• Neuroinformatics
• Cognitive Neuroscience
• Psychiatry
• +۵ مورد دیگر

Elyse S. Sussman is a Professor at Albert Einstein College of Medicine, holding dual appointments in the Dominick P. Purpura Department of Neuroscience and the Department of Otorhinolaryngology - Head & Neck Surgery . Her research focuses on the neurobiology of auditory perception, attention, and memory, employing human electrophysiology to study neural adaptation, multisensory interactions, and changes in auditory cognition across the lifespan. She investigates neural development in both typical and atypical conditions, including neurodevelopmental disorders and the effects of childhood leukemia treatments. Her laboratory combines non-invasive brain recordings with behavioral metrics to map auditory information processing. Notable areas include auditory scene analysis, predictive coding mechanisms, and the impact of attention on perception. Recent work spans topics like spatial hearing, sensory prediction errors, and bilingual language disorders in children. Research Highlights: Neuroplasticity in auditory processing Chemotherapy-induced sensory deficits Cross-modal sensory integration No scientific awards are explicitly listed. Her lab is based at the Rose F. Kennedy Center in Bronx, NY.

• Neurobiology of auditory perception
• Attention and memory
• Human electrophysiology
• +۴ مورد دیگر

Paul Barbone is a Professor in the Department of Mechanical Engineering at Boston University, with an affiliation to the Division of Materials Science & Engineering. He holds a PhD from Stanford University. His research focuses on theoretical and computational mechanics, acoustics, medical imaging, and inverse problems, with applications in biomechanical imaging and elastography. He has contributed to advancements in finite element methods, scattering theory, and multiple scales analysis. His honors include Fellowships from the American Institute for Medical and Biological Engineering (2018) and the Acoustical Society of America (2007). His work spans computational mechanics, inverse problems, and biomedical applications, with notable contributions to quantitative elasticity imaging and nonlinear tissue mechanics.

• Theoretical Mechanics
• Biomechanical Imaging
• Inverse Problems
• +۷ مورد دیگر

Alessandro Boaro is a Temporary Assistant Professor at the Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona. His research focuses on computational neuroscience, innovative neurotechnologies, and AI applications in healthcare. He is affiliated with the WHO Collaborating Centre for Mental Health and the CeRiSM research center. Research interests include motor pathway reorganization, brain tumor studies, digital phenotyping in neuro-oncology, and AI-driven surgical decision support. He contributes to committees like the Research and Internationalization Commission and actively participates in neurosurgical innovation initiatives. His work bridges clinical neurophysiology with advanced imaging and machine learning techniques. Key contributions include studies on cortico-cortical interactions in brain tumor patients, AI-based classification of intraoperative motor potentials, and GPS-based mobility assessments for post-surgical cervical myelopathy patients. He has published extensively in neurosurgery and AI healthcare journals, emphasizing translational research for clinical impact. Labs associated with his work include the Neurophysiology and Cognitive Neuroscience laboratories, and he collaborates with interdisciplinary teams on digital medicine projects.

• Neuroscience
• Neurosurgery
• Artificial Intelligence in Healthcare
• +۵ مورد دیگر

Dr. Elisabet Haas is an associated researcher at Ludwig-Maximilians-Universität München, specializing in neurophonetics, speech disorders, and speech motor development. Her work focuses on childhood dysarthria, particularly its assessment and treatment. She co-authored the book *Dysarthrien Bei Kindern: Informationen Für Therapeuten Und Eltern* (2020) and developed the BoDyS-KiD diagnostic tool for auditory analysis of pediatric dysarthria. Her research investigates speech naturalness, intelligibility, and communication efficiency in children with neurological conditions. She has conducted a nationwide survey on German-speaking speech therapists' clinical practices for childhood dysarthria, revealing gaps in diagnostic and treatment protocols. Haas trains therapists via the online module *Childhood Dysarthria* (www.lernmodule-sprachtherapie.de/kindliche-dysarthrien), emphasizing evidence-based approaches. Her studies include longitudinal analyses of auditory-perceptual parameters and age norms for neurophonetic assessment. She also explores therapeutic interventions like Lee Silverman Voice Treatment for children with cerebral palsy and dysarthria. Her publications span journals like *American Journal of Speech-Language Pathology* and *Journal of Speech, Language, and Hearing Research*, with over 20 peer-reviewed articles since 2016. She collaborates closely with Prof. Thomas Schölderle and Wolfgang Ziegler on neurophonetic methodologies and clinical applications.

• Neurophonetics
• Speech Disorders
• Speech Motor Development
• +۳ مورد دیگر

Dr. Maya E O'Neil is a Professor at Oregon Health & Science University (OHSU) in the Departments of Psychiatry and Medical Informatics & Clinical Epidemiology. As Core Faculty in OHSU’s Clinical Psychology doctoral program, she combines clinical practice with research in PTSD, TBI, and neuropsychology. She holds a VA clinician role, specializing in rural telemental health, cognitive rehabilitation, and evidence-based therapies for Veterans. Her research focuses on PTSD treatments, TBI outcomes, and evidence synthesis methodologies, supported by grants like the VA Rehabilitation Research & Development Career Development Award (CDA). Her work includes leading randomized trials like Compensatory Cognitive Training for PTSD and developing the PTSD-Repository for the National Center for PTSD. She collaborates with OHSU’s Advanced Imaging Research Center on fMRI protocols for TBI/PTSD neurophysiology. Dr. O'Neil’s research spans clinical trials, systematic reviews, and data harmonization projects, including contributions to the Chronic Effects of Neurotrauma Consortium (CENC/LIMBIC). Key Awards: VA CDA (2020-2025), AHRQ K Fellowship Grants: VA Rehabilitation R&D, DoD-funded CENC/LIMBIC studies Labs/Teams: Collaborates with Advanced Imaging Research Center, VA Evidence-based Synthesis Program Dr. O'Neil mentors psychology trainees in telemental health, PTSD, and clinical research. Her methodological expertise includes structural equation modeling and validation of clinical assessment tools.

• Post-traumatic stress disorder (PTSD)
• Traumatic Brain Injury (TBI)
• Neuropsychology
• +۴ مورد دیگر

Todd Roberts is an academic researcher in the Department of Neuroscience at the University of Texas Southwestern Medical Center. He holds a B.S. and Ph.D. from the University of Maryland, where his doctoral work focused on neuromodulatory circuits and vocal learning pathways. Postdoctoral training at Duke University Medical Center furthered his expertise in auditory memory encoding and neuroimaging techniques. His research investigates the neural mechanisms underlying vocal communication, particularly in songbirds, with a focus on how auditory experiences guide vocal learning through sensorimotor integration. Roberts' work integrates molecular, cellular, and systems-level approaches to study vocalization circuits, including the role of genes like FoxP1 and FoxP2 in autism-related vocal deficits. His lab explores neural plasticity during song learning and the evolutionary basis of vocal control systems. Key contributions include discoveries about basal ganglia circuits' role in vocal learning and the synaptic mechanisms supporting memory formation for vocal imitations. Publications highlight advancements in understanding auditory-motor transformations, the impact of dopamine systems on vocal behavior, and the application of deep learning tools like AVN for birdsong analysis. Roberts collaborates across disciplines to advance knowledge of neurodevelopmental disorders through avian models. His research has implications for therapeutic approaches targeting speech and communication impairments in humans.

• Neural Circuits
• Vocal Learning
• Auditory Processing
• +۳ مورد دیگر

Dr. Laurie Bloomfield is an Associate Professor in the Department of Psychology at Algoma University. Her research focuses on songbird vocal complexity, examining both production and perception mechanisms across species like black-capped, mountain, and boreal chickadees. Utilizing fieldwork, lab experiments, and neural analysis, she investigates acoustic communication, species recognition, and auditory processing. PhD: University of Alberta (2002-2007) MA: Queen’s University (2000-2002) BA: Laurentian University (1996-2000) Her work explores: Acoustic structure and function of chick-a-dee calls Cross-species vocal discrimination Neural correlates of auditory perception Environmental influences on vocal development Frequency-range discrimination and absolute pitch Comparative analysis of sympatric/allopatric populations Recent publications emphasize neural encoding, computational modeling, and ecological adaptations in vocal communication. She maintains a lab in CC 103 at Algoma University, with contact details provided.

• Bioacoustics
• Vocal communication
• Species discrimination
• +۳ مورد دیگر