جست‌وجوی استاد و پژوهشگر

Eric S. Jacksonمشاهده پروفایل

دانشیار

• Stuttering Variability
• Speech-Language Pathology
• Neurobiology of Language
• +۳ مورد دیگر

Dr. Eric S. Jackson is an Associate Professor in the Communicative Sciences and Disorders department at New York University's Steinhardt School of Culture, Education, and Human Development. He holds affiliations as an Affiliated Scientist in NYU's Psychology department and Haskins Laboratories. His research focuses on stuttering variability, social interaction factors, and anticipation mechanisms, with a goal to improve interventions for people who stutter. Dr. Jackson earned his M.S. in Speech-Language Pathology from CUNY Brooklyn College and his Ph.D. in Speech-Language-Hearing Sciences from the CUNY Graduate Center. His postdoctoral training was supported by the NSF at the University of Iowa. He has held visiting professor roles at multiple institutions since 2009. His work is funded by NIH and NSF since 2015, exploring neurobiological underpinnings of stuttering and clinical applications. His publications analyze speech motor control, anticipatory mechanisms, and pharmacological interventions. Dr. Jackson combines over 15 years of clinical practice with research, leveraging his lived experience as a person who stutters to inform his work. His advising and grants include mentoring students in stuttering research and NSF/NIH-funded projects. He collaborates across disciplines at Haskins Laboratories and NYU labs, focusing on speech neuroscience and clinical interventions.

Philip Greenمشاهده پروفایل

استاد

• Speech Technology
• Clinical Applications
• Silent Speech Interfaces
• +۲ مورد دیگر

Emeritus Professor Philip Green founded the Speech and Hearing research group at the University of Sheffield. His pioneering work spans clinical speech technologies for laryngectomy patients, robust speech recognition, and auditory scene analysis. Key innovations include permanent magnetic articulography for silent speech interfaces and assistive technologies for dysarthric speech recognition, supported by NIHR and EPSRC funding.

Wenwu Wangمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Wenwu Wang is a Professor of Signal Processing and Machine Learning at the University of Surrey's School of Computer Science and Electronic Engineering, and serves as Associate Head (External Engagement). He is Co-Director of the Machine Audition Lab within CVSSP and an AI Fellow at Surrey's Institute for People Centred Artificial Intelligence. Education: Holds a BSc, MSc, and PhD (specific disciplines not specified). Research focuses on unsupervised learning techniques , computational auditory scene analysis , and multimodal machine learning . Notable projects include audio captioning systems, text-to-audio generation (e.g., AudioLDM), and anomalous sound detection frameworks. Grants: £30M+ total portfolio (as PI: £2.2M; as CI: £14M+). Funders include EPSRC, MoD, EU, and industry partners like BBC/Huawei. Key Projects: AudioTurbo (fast text-to-audio), SemantiCodec (ultra-low bitrate audio), DCASE Challenge contributions. Lab Leadership: Machine Audition Lab explores intersections of audio perception and AI. Recent work emphasizes large audio models , cross-modal generation, and real-world applications in aquaculture monitoring and urban soundscapes.

Jeffrey Boydمشاهده پروفایل

دانشیار

• Computer Vision
• Image Processing
• Optical Flow
• +۳ مورد دیگر

Jeffrey Boyd is an Associate Professor in the Department of Computer Science at the University of Calgary's Faculty of Science, serving as Director of the Computational Media Design (CMD) initiative. His research focuses on computer vision, video analysis, optical flow, and motion tracking with applications in audio-locomotion synchronization and wearable technologies. He holds a B.S. (1983) and M.S. (1986) in Electrical Engineering from the University of Calgary, followed by a Ph.D. in Computer Science from the University of British Columbia (1994). Notable achievements include recognition for graduate supervision (2015 nominee) and innovation in interactive media (2014 Armour39 Challenge). His work bridges computational methods with creative applications, evident in publications like Emotional Musification (2018) and particle filter research (2016). Academic contributions span special topics courses on wearable applications and interdisciplinary collaborations in auditory display systems. Grants and advising activities are central to his role, though specific details are not elaborated in the provided texts. The CMD lab under his direction likely focuses on cutting-edge media design innovations, though explicit lab descriptions are absent.

Megan Kobelمشاهده پروفایل

استادیار

• Vestibular Dysfunction
• Balance Disorders
• Neurophysiology of Perception
• +۳ مورد دیگر

Megan Kobel is an Assistant Professor in the Department of Speech, Language, and Hearing Sciences at the University of Arizona, directing the NIH-funded Vestibular Research Lab. Her research focuses on improving diagnosis and understanding of dizziness, vertigo, and balance disorders through investigations into self-motion perception and sensory integration. She holds dual doctorates (AuD and PhD) and is certified by the American Speech-Language-Hearing Association. Research interests include vestibular dysfunction mechanisms, multisensory integration in postural control, and the relationship between vestibular processing and cognitive performance. She explores clinical applications of perceptual training and advanced diagnostic tools for vestibular disorders. Her recent work highlights impacts of sensory system interactions, long-term effects of viral infections like COVID-19 on balance systems, and age-related vestibular changes. Articles emphasize quantitative analysis of postural sway, perceptual thresholds, and translational research in vestibular rehabilitation. NIH-funded research lab focuses on vestibular diagnostics and therapeutic interventions Course instruction includes advanced balance assessment and rehabilitation Expertise in experimental psychophysics and clinical trial design Grants and collaborations support studies on sensory integration, with publications in high-impact journals across neuroscience and clinical medicine.

Robert Raphaelمشاهده پروفایل

دانشیار

• Auditory System Bioengineering
• Membrane Biophysics
• Ion Transport Modeling
• +۹ مورد دیگر

Robert Raphael is an Associate Professor of Bioengineering at Rice University and Principal Investigator of the Neuroengineering IGERT program. He leads research on auditory system mechanics, focusing on ion transport in inner ear membranes and cochlear implant development. His work bridges biophysics with engineering to address hearing loss and deafness. Affiliations: Rice University/Baylor College of Medicine Neuroengineering IGERT Grants: $3M NSF IGERT grant (2018), NIH R01 (collaborative) Research interests include membrane biophysics, computational modeling of ion transport, and carbon nanotube-based cochlear implants. He develops 3D cell culture systems using magnetic levitation and studies mitochondrial diversity in auditory cells. His lab integrates optical imaging, computational modeling, and micromechanical techniques. Recent articles explore synaptic transmission in vestibular systems, potassium transport dynamics, and electromagnetic wave effects on auditory cells. Key awards include the NSF CAREER Award (2005), three Hamill Innovation Awards (2006–2018), and the Charles W. Duncan Jr. Achievement Award (2010). Advising focuses on interdisciplinary neuroengineering training through the IGERT program. Collaborations span Rice, Baylor, and University of Chicago. His lab pioneered the first biophysically-based inner ear ion transport model and advances magnetic nanotechnology for biomedical applications. Current projects include optogenetic studies of membrane proteins and equity initiatives for deaf professionals.

• Neuroscience
• Multisensory Integration
• Cognitive Neuroscience
• +۳ مورد دیگر

Aaron Nidiffer, Ph.D., is a Research Assistant Professor in the Department of Neuroscience at the University of Rochester's School of Medicine and Dentistry (SMD). His research focuses on understanding multisensory integration, speech processing, and neurophysiological mechanisms underlying social cognition. He employs EEG and computational modeling to investigate how the brain processes naturalistic stimuli, with clinical applications in schizophrenia research and neurodevelopmental disorders. Dr. Nidiffer's work emphasizes the interplay between sensory modalities, attentional processes, and neural plasticity. His recent studies explore how gaze direction and temporal synchrony influence multisensory perception, as well as the role of predictive coding in speech comprehension. He advocates for open science practices, contributing to standardized frameworks for neural data sharing. Key research themes include: Multisensory integration in complex environments EEG biomarkers for schizophrenia spectrum disorders Cross-modal speech processing (lipreading, audiovisual speech) Computational modeling of subcortical-cortical interactions His publications span 2011–2025, demonstrating sustained focus on temporal dynamics, attentional modulation, and clinical neuroscience applications. No academic awards are explicitly listed in the provided materials.

• Neuroscience
• Neural Coding
• Auditory Processing
• +۶ مورد دیگر

Dr. Jagmeet S Kanwal is an Associate Professor in the Department of Neurology and Secondary Associate Professor in Neuroscience at Georgetown University's School of Medicine (SOM). His research focuses on understanding neural mechanisms underlying sensory information processing, particularly in auditory communication sounds in bats. He uses multidisciplinary approaches including electrophysiology, neuroimaging, and behavioral experiments. Education: Louisiana State University (PhD). Research Interests: Dr. Kanwal studies how the brain efficiently processes complex auditory information, with a focus on communication sounds in bats. His work explores hemispheric asymmetry in auditory processing, neural coding of vocalizations, and the role of neuropeptides like oxytocin in social interactions. His lab pioneered studies using bats as models for understanding speech and music perception evolutionarily. Recent Articles Trends: Recent work emphasizes decision-making algorithms in animals (zebrafish navigation, bat vocal adaptations), neuroanatomical mapping (bat brain atlases), and the intersection of stress/sleep on adolescent neuroplasticity. His 2025 zebrafish study highlights evolutionary origins of motor control systems. Labs/Teams: Maintains active bat neuroethology lab at Georgetown, collaborating with neuroimaging teams on fMRI studies of auditory perception in humans. Develops novel tools like NemoTrainer for automated animal behavior experiments.

• Speech Perception
• Audiovisual Communication
• Phonetics
• +۴ مورد دیگر

Dr. Dawn M. Behne is a Professor in the Department of Psychology at NTNU (Norwegian University of Science and Technology), affiliated with the Faculty of Social and Educational Sciences. She leads the Speech, Cognition & Language Group (SCaLa) , focusing on audiovisual speech perception and cognitive processing. Her research interests span speech perception , multisensory integration , language development , and cognitive neuroscience . Key topics include audiovisual speech processing in bilingualism, musical expertise effects, and human-AI conversational dynamics. She has pioneered studies on phonetic adaptation in real-time interactions and the role of visual cues in speech comprehension. Recent work (2024) explores real-time speech adaptations between humans and AI confederates, while 2023 studies highlighted gender representation biases in visual categorization tasks. Earlier research (2019–2020) investigated musical expertise's impact on multisensory speech perception using ERP methods. Behne has published over 50 peer-reviewed articles in journals like Journal of the Acoustical Society of America , Frontiers in Psychology , and PLOS ONE . Her lab collaborates with institutions globally, including the University of Alberta (Jongman/Sereno group) and the University of Helsinki (Gabriel/Hyönä team). Grants and funding details are not explicitly listed, but her active research program indicates sustained institutional and likely external support. Current projects likely involve AI-driven speech analysis and cross-linguistic perceptual studies.

Daniel Jethanamestمشاهده پروفایل

دانشیار

• Cochlear Implants
• Skull Base Surgery
• Acoustic Neuroma Surgery
• +۳ مورد دیگر

Dr. Daniel Jethanamest is an Associate Professor in the Department of Otolaryngology-Head and Neck Surgery at NYU Grossman School of Medicine, serving as Director of Otology, Neurotology, and Skull Base Surgery. He specializes in hearing rehabilitation using cochlear implants, endoscopic ear surgery, and acoustic neuroma treatment. His research bridges technical innovation with clinical care, focusing on implantable devices and translational auditory research. Dr. Jethanamest holds an MD from NYU (2006), completed residency at NYU Langone (2011), and a fellowship in Neurotology/Skull Base Surgery at the University of Miami (2013). He collaborates with NYU’s Cochlear Implant Center and the Laboratory for Translational Auditory Research to optimize hearing restoration technologies. His clinical interests include skull base tumors, facial nerve paralysis, and complex ear conditions. Research trends in his articles emphasize cochlear implant optimization, MRI advancements for auditory implants, and music perception with cochlear implants. Dr. Jethanamest is board-certified in Otolaryngology and Neurotology, and actively participates in clinical trials involving cochlear implant electrode arrays and tympanic membrane regeneration. He maintains affiliations with NYU Langone’s Otolaryngology Associates in New York and Woodbury, NY.

Shmma Quraisheمشاهده پروفایل

استاد آموزشی

• Neuroscience
• Medical Education
• Neurodegenerative Diseases
• +۴ مورد دیگر

Shmma Quraishe is a Principal Teaching Fellow in Medical Education at the University of Southampton. She holds a BSc in Biochemistry and a PhD in Neuroscience from the same university, with postdoctoral research focused on Alzheimer’s disease therapies and CNS aging mechanisms. Her research interests span neurodegenerative diseases, molecular chaperones in neuroprotection, microtubule stabilization therapies, and aging-related auditory system changes. She collaborates across disciplines, including neurobiology and biomedical engineering, as evidenced by her work on super-resolution imaging techniques. Shmma leads the 'Understanding microtubule stabilisation for Alzheimer’s treatment' project funded by Wessex Medical Research. Her publications (2017–2023) explore neurodegeneration, glial biology, and aging mechanisms in CNS contexts. She is affiliated with the Neuroscience and Medical Education research groups at Southampton. Her academic contributions include co-authoring journal articles, conference papers, and a book chapter on neuroprotection strategies. She transitions seamlessly between teaching medical bioscience programs and conducting impactful translational research.

• Aeroacoustics
• Noise Control Engineering
• Signal Processing
• +۳ مورد دیگر

Elias Zea Marcano is an Assistant Professor of Engineering Acoustics at the Marcus Wallenberg Laboratory for Sound and Vibration Research (MWL) at KTH Royal Institute of Technology. His research focuses on noise source separation, aeroacoustics, room acoustics, sparse signal processing, and data-driven methods. He reviews for prominent journals like the Journal of the Acoustical Society of America and serves as a Guest Editor for the Journal of Theoretical and Computational Acoustics. His work is supported by the Swedish Research Council and the European Commission. He teaches courses such as Room Acoustics and Spatial Audio and has supervised numerous graduate students and postdocs in areas like sustainable aviation noise reduction and acoustic material characterization. He actively participates in international conferences and publishes cutting-edge research on topics such as fan noise measurement and data-driven speech enhancement.

Carl Verschuurمشاهده پروفایل

استاد

• Hearing Science
• Biomedical Engineering
• Sensory Substitution
• +۳ مورد دیگر

Professor Carl Verschuur is a leading academic at the University of Southampton, specializing in hearing science and cochlear implant technology. His research focuses on enhancing auditory perception through sensory substitution systems and investigating inflammatory mechanisms in age-related hearing loss. Member of the Institute for Life Sciences Active projects include DSE Award for medical device translation, Flexi Grant, and RNID Studentships Key research areas include cochlear implant optimization , inflammatory biomarkers for hearing loss , and tactile speech perception systems . His recent publications address noise-robust signal processing and electrode integrity testing. External engagements include invited speaking roles at the University of Manchester (2011) and presentations on topics ranging from music perception in implant users to PPIE initiatives in auditory research.

• Ethnomusicology
• Cognitive Ethnomusicology
• Rhythm Perception
• +۳ مورد دیگر

Udo Will is a Professor of Ethnomusicology at the School of Music, Ohio State University, supported by an Academic Enrichment Award. His roles include being president of the European Seminar in Ethnomusicology and serving on the editorial board of the British Journal for Ethnomusicology. He previously held teaching positions at the University of Bielefeld (Music/Sociology) and the University of New England, Australia. Dr. Will’s research focuses on cognitive ethnomusicology, rhythm perception, cultural studies of music, and the intersection of neuroscience with musical practices. Key themes include rhythmic entrainment, cross-cultural musical analysis, and the evolutionary history of vocal/instrumental music. His work bridges disciplines through EEG methodologies, linguistic studies, and comparative cultural frameworks. His articles (2018–1997) explore topics like rhythmic memory mechanisms, neural synchronization to music, and cultural influences on musical perception. Notable works include studies on North Indian alap improvisation, Australian Aboriginal pitch systems, and tonal language processing. Awards include the Academic Enrichment Award (School of Music). His contributions span theoretical frameworks in cognitive ethnomusicology and applied research in music neurocognition.

• Signal Processing
• Acoustic Sensor Networks
• Machine Learning Applications
• +۵ مورد دیگر

Manuel Utrilla Manso is an Associate Professor at the Department of Signal Theory and Communications at the University of Alcalá. His research focuses on signal processing, acoustic sensor networks, and machine learning applications in audio-based systems. He leads the AES3 research group, specializing in smart acoustic and electromagnetic sensor networks and signal processing. His work addresses challenges in UAV acoustic detection, emotion recognition (e.g., anger detection), and speech processing for hearing aids. He holds a Ph.D. from the University of Alcalá with a thesis on finite-precision analysis in advanced digital filter structures. Key research interests include: Acoustic localization and source separation Machine learning for audio classification Optimization of microphone array configurations Non-destructive spectral analysis using sound Hearing aid algorithms and noise suppression Publications emphasize robust systems for noisy environments, computational efficiency, and interdisciplinary applications in healthcare and environmental monitoring. His work bridges theoretical signal processing with practical implementations in automotive, biomedical, and smart sensor domains. Notable contributions include development of benchmark datasets for sound event classification and optimization frameworks for waveform design in non-destructive testing. Research extends to educational technologies, including formative assessment methodologies for engineering students and interdisciplinarity in technical education.