Arthur J. Boston is a researcher affiliated with the University Libraries at Murray State University. Their work focuses on scholarly communication , open access policies , and library-led publishing initiatives . Boston actively contributes to debates on equitable research infrastructure, including the Read & Let Read model and alternatives to traditional publishing deals. Research Interests Boston explores intersections between library science and cultural dynamics , incorporating hip-hop pedagogy and music industry practices into scholarly communication frameworks. Their work emphasizes digital equity , information literacy , and innovative models for research dissemination. Scientific Awards No specific awards mentioned in the provided data.
James W. Lewis is a Professor and Vice-Chair for Education at the West Virginia University School of Medicine, holding dual appointments in the Department of Neuroscience and the Rockefeller Neuroscience Institute. His research focuses on understanding how the human brain processes auditory information, particularly in relation to multisensory integration and natural sound recognition. PhD, California Institute of Technology Dr. Lewis's research explores the neural mechanisms underlying auditory object perception, with particular interest in how the brain categorizes and processes different types of natural sounds. His work employs functional magnetic resonance imaging (fMRI) to investigate cortical networks responsible for recognizing sounds produced by humans, animals, mechanical devices, and environmental sources. He has made significant contributions to understanding the fourfold cortical dissociation for representing different categories of action sounds, demonstrating how distinct brain regions process human, animal, mechanical, and environmental sounds. His recent publications reveal a consistent focus on auditory neuroscience with increasing attention to clinical applications in autism spectrum disorder and medical education innovation. A notable trend is his exploration of how high-level perceptual attributes like concreteness, effectuality, and spatial scale influence cortical processing of natural sounds, advancing models of grounded cognition for acoustic knowledge representation. Dr. Lewis leads a research program utilizing 3 Tesla functional magnetic resonance imaging at the Center for Advanced Imaging at WVU. His lab employs a full-scale simulation-MRI scanner to train children for neuroimaging studies, particularly those with autism spectrum disorder. The team investigates how the brain processes auditory information in both typical development and neurodevelopmental conditions, with findings having implications for biologically inspired hearing aid algorithms.
Bruno Gas serves as a Professor at Sorbonne University, affiliated with the ASIMOV research team within the Intelligent Systems and Robotics Institute (ISIR). His academic work bridges robotics, artificial intelligence, and cognitive science through innovative investigations into sensorimotor learning frameworks for embodied agents. Gas's research centers on how naive robotic agents develop spatial and bodily representations through sensorimotor interactions, with particular emphasis on multimodal sensory integration (audition, vision, and touch). His work demonstrates how robots can autonomously construct internal models of their environment through active exploration, utilizing principles from developmental psychology and neuroscience. Key methodologies include neural network modeling, predictive processing architectures, and bio-inspired sensorimotor contingency frameworks that enable agents to learn without pre-programmed spatial knowledge. Analysis of Gas's recent publications (2013-2020) reveals consistent thematic progression in developmental robotics, focusing on the emergence of topological spatial representations, active exploration strategies, and multimodal sensor fusion. His research demonstrates how sensorimotor flow generates internal spatial models, with notable contributions including the Head Turning Modulation System for environment exploration and tactile space representation models. This work establishes critical links between robotics, cognitive science, and neuroscience through experimentally validated frameworks for embodied learning. No explicit information regarding student supervision or research grants appears in the source material, though extensive collaborative publications with researchers like Sylvain Argentieri and J. Kevin O'Regan suggest active mentorship and project leadership within the ISIR ecosystem. His publication record shows sustained interdisciplinary collaboration across European robotics institutions. Gas operates within the ASIMOV team at ISIR (Institut des Systèmes Intelligents et de Robotique), a premier robotics research unit jointly operated by Sorbonne University and CNRS. The team specializes in adaptive systems and intelligent machines, with research spanning embodied cognition, developmental robotics, and human-robot interaction. ASIMOV's experimental platforms focus on sensorimotor learning paradigms for autonomous exploration, positioning Gas at the forefront of bio-inspired robotics research in France.
Jun Yang is a Professor at the Department of Ophthalmology and Visual Sciences and Adjunct Professor in Neurobiology at University of Utah Health. His research focuses on the genetics and cell biology of photoreceptors and hair cells, particularly in relation to Usher syndrome and retinal degeneration. Education: B.S. from Nankai University, Ph.D. from University of Massachusetts Amherst Yang's lab investigates molecular mechanisms of heritable retinal degeneration, including photoreceptor trafficking, calcium regulation, and the multi-protein Usher II complex. His work explores gene therapy approaches using AAV vectors to treat mouse models of retinal diseases. The 15 most recent publications highlight studies on CFAP418-lipid interactions, USH2 complex integrity, photoreceptor disc morphogenesis, TRPV1 channel regulation, and stereocilia development. These works span molecular genetics, protein biochemistry, and translational therapies for sensory cilia disorders. His research has been published in journals like JCI Insight , Human Molecular Genetics , and PLoS Genetics , with a focus on protein-protein interactions, ciliary rootlet structure, and membrane homeostasis. Collaborative projects include studies on cytomegalovirus-induced hearing loss and therapeutic interventions. Jun Yang's laboratory at University of Utah Health employs mouse genetics, molecular biology, and advanced microscopy to understand and develop treatments for retinal and auditory degeneration diseases.
Kjetil Falkenberg is an Associate Professor at KTH Royal Institute of Technology , affiliated with the Division of Media Technology and Interaction Design . He leads the Music For All thematic group and contributes to interdisciplinary research bridging music technology, accessibility, and rehabilitation. Education: Docent in Media Technology (Södertörn University, 2015), Pedagogy for Higher Education (KTH, 2014), Doctor of Technology in Speech and Music Communication (KTH, 2010), Master in Musicology (NTNU, 2000), Bachelor in Teacher Education (Høgskolen i Sør-Trøndelag, 1999) His research focuses on music technology for accessibility , sonification in rehabilitation , interactive sound installations , and inclusive music education . He develops systems for cochlear implant users, wheelchair training, and collaborative music-making for individuals with disabilities. Recent publications emphasize web-based audio tools , soundscapes in retail , and playful interaction design . He has co-chaired multiple international conferences and served on the jury for Utställningen Unga Forskare. Scientific Awards: Co-chair, Sound and Music Computing Conference (2023) Co-chair, International Sonification Workshop (2019) Co-chair, Sample Music Society Jury member, Utställningen Unga Forskare Kjetil supervises doctoral students in social robotics sonification , virtual acoustics , and music notation systems , alongside numerous master's and bachelor's projects in accessible design and sound technology.
Jason Chein is a Professor at Temple University’s College of Liberal Arts, Department of Psychology and Neuroscience. He directs the Temple University Brain Research & Imaging Center (TUBRIC) and leads the Control & Adaptive Behavior Laboratory (CAB Lab). PhD in Cognitive Psychology (Cognitive Neuroscience specialization), University of Pittsburgh Postdoctoral research at Princeton University His research explores the development and deployment of self-regulatory control, focusing on how executive functioning influences learning, problem-solving, decision-making, and social navigation under distraction or emotional arousal. Key methodologies include behavioral experiments, longitudinal studies, and MRI-based neuroimaging. Publications emphasize working memory, adolescent decision-making, reward processing, and neuroimaging applications. His work often bridges cognitive neuroscience with developmental psychology, highlighting the interplay between brain maturation, social context, and executive function. Dr. Chein’s lab investigates adaptive behaviors using convergent methodologies. He contributes to graduate education through courses in cognitive neuroimaging, neuroscience core topics, and cognitive psychology.
Lukas Aspöck is a Senior Researcher at the Hearing Technology and Acoustics department of RWTH Aachen University . His work focuses on Acoustic Virtual Reality , Room and Building Acoustics , and Binaural Technology , with applications in urban soundscapes, educational environments, and hearing aid research. He collaborates extensively with the AUDICTIVE Priority Program SPP2236 on auditory cognition in virtual environments. Current role: Senior Researcher (Akademischer Oberrat) since 2025 Core research areas: Real-time auralization, psychoacoustic evaluation, and multimodal perception Research trends include: Acoustic simulation for urban environments and building façades Impact of voice quality on educational listening effort Development of immersive VR environments for auditory experiments Validation of room acoustic simulation models
David P. Corina is a Professor of Linguistics and Psychology at the University of California, Davis, and Director of the Cognitive Neurolinguistics Laboratory at the Center for Mind and Brain. His research bridges cognitive neuroscience and linguistics, specializing in signed and spoken language processing across deaf and hearing populations. His educational background includes: Ph.D. in Psychology and Cognitive Science, UC San Diego (1991) M.A. in Linguistics, Gallaudet University (1983) B.S. in Educational Psychology, New York University (1982, magna cum laude) Corina investigates neural mechanisms of language comprehension and production, focusing on American Sign Language (ASL) and spoken language. His work examines developmental trajectories in deaf children, neurological impairments, and the interplay between language and gesture processing. Using EEG/ERP, fMRI, and behavioral methods, his lab explores brain plasticity and sensory adaptation in language systems, with particular emphasis on visual-spatial processing in signers. Recent publications (2019-2024) reveal three dominant research threads: (1) structural and functional brain differences in multilingual speakers, (2) electrophysiological responses to language in cochlear implant users, and (3) age-related changes in sign language processing. His work consistently demonstrates how language modality shapes neural organization while highlighting cross-linguistic commonalities. Scientific recognition includes: Fulbright Global Scholar, United States Fulbright Commission (2019-2020) Corina has held significant academic leadership roles including Chair of UC Davis' Undergraduate Cognitive Science Program (2018-2023) and Program Committee Chair for the Society for Neurobiology of Language (2016-2018). He serves as an ad hoc reviewer for NIH study sections, scholarly journals, and international funding agencies, contributing to peer review in neuroscience and linguistics. He directs the Cognitive Neurolinguistics Laboratory, which integrates interdisciplinary approaches to study language-brain relationships through collaborative projects with deaf communities, neurologists, and developmental psychologists.
Prof. Dr. Thorsten Thormählen is a University Professor for Computer Graphics and Multimedia Programming in the Department of Mathematics and Computer Science at Philipps University Marburg, Germany, a position he has held since October 2012. Prior to this, he served as Substitute Professor for Interactive Graphics Systems at the University of Tübingen (2011-2012) and led the independent research group "Image-based 3D Scene Analysis" at the Max Planck Center for Visual Computing and Communication (2007-2012). His academic background includes a PhD (Dr.-Ing.) from the University of Hannover (2000-2005), where he also worked as a full-time scientific assistant, and a Diploma in Electrical Engineering from the University of Duisburg (1994-1999). Prof. Thormählen's research centers on Visual Computing , spanning Computer Graphics , Computer Vision , Video Processing , and Human-Computer Interaction . His work pioneers tools for 3D reconstruction (e.g., Multi-View Photometric Stereo), video manipulation (e.g., MovieReshape), and multimedia processing (e.g., GSN Composer), with groundbreaking contributions to accessibility through haptic and auditory interfaces for blind 3D modelers. His lab develops practical systems that bridge theoretical computer vision with real-world applications. Analysis of his 15 most recent publications reveals a consistent focus on photometric stereo techniques for 3D reconstruction, video processing innovations, and accessibility-driven interfaces. His work increasingly emphasizes inclusive design, particularly for visually impaired users, while maintaining technical rigor in camera calibration, surface modeling, and multi-sensor fusion. At the Max Planck Center, he established and led the "Image-based 3D Scene Analysis" research group, which advanced methods for reconstructing 3D environments from video sequences. His current work at Marburg continues this trajectory, integrating computer vision, graphics, and human-centered design to solve complex problems in digital content creation and accessibility.
Thomas Koenig is a Group Leader at the University of Bern's Translational Research Center and a Visiting Professor at the University of Geneva's Campus Biotech. His primary affiliation is the University of Bern, where he contributes to the Medical Faculty's Department of Psychiatry. Koenig's research focuses on EEG microstate analysis, particularly in understanding brain dynamics during health and psychiatric disorders. His work integrates neurophysiology with philosophical inquiries into the mind-brain relationship, including a Master's in Philosophy of Mind. Key contributions include developing the MICROSTATELAB toolbox and advancing microstate methodology. His research spans schizophrenia, Alzheimer's, sleep neurophysiology, and the neural correlates of self-experience. Education: Holds a Master in Philosophy (emphasis on Philosophy of Mind) alongside his natural sciences background. His academic background bridges neuroscience and philosophy, enhancing interdisciplinary research. Research interests include EEG/ERP microstates, resting-state networks, neuroimaging biomarkers, and translational applications in psychiatry. His articles emphasize EEG methodology, clinical applications, and cognitive neuroscience. Collaborations span institutions globally, addressing topics like psychosis biomarkers, sleep modulation, and neurodegenerative markers. Notable contributions include identifying EEG microstate D as a psychosis correlate and investigating sleep's functional networks. His work on closed-loop sleep stimulation highlights translational potential for memory and neurodegenerative interventions.
Adam Garrow is a Visiting Professor at the School of Electronic Engineering and Computer Science, Queen Mary University of London. His research focuses on computational models of music cognition, aiming to bridge neural substrates and auditory experiences through AI. He explores how prior musical exposure influences perceptual and emotional responses to music. His project, 'Probabilistic learning of sequential structures in music cognition,' seeks to create comprehensive models that map auditory inputs to behavioral outcomes. While no formal educational background is detailed here, his work intersects interdisciplinary fields like neuroscience and computer science. Recent research includes a 2020 study on preclinical dosimetry models for PET radiotracers, highlighting contributions to medical imaging and pharmacology. No awards or grants are explicitly mentioned, though his profile links to ResearchGate and LinkedIn for further professional insights. Collaborations within the School's research groups and potential lab affiliations remain unspecified in the provided text.
Jan-Bernard Marsman is a Researcher at the University of Groningen's Faculty of Medical Sciences, affiliated with the Perceptual and Cognitive Neuroscience (PCN) department and the Clinical Cognitive Neuropsychiatry Research Program (CCNP). His expertise includes advanced fMRI analysis, eye-tracking technologies, and statistical methodologies in neuroscience research. He teaches courses such as Basic and Advanced fMRI, Matlab for Neurosciences, and Project Management for PhD students. His research focuses on neuroimaging applications in mental health disorders (e.g., depression, schizophrenia), cognitive impairment (e.g., Alzheimer's), and visual neuroscience (e.g., glaucoma diagnostics). Key projects include studying emotion regulation in depression, structural brain changes in schizophrenia, and optimizing eye-tracking for medical diagnostics. Marsman has authored/co-authored over 77 peer-reviewed articles, with recent work exploring functional connectivity in depression relapse prediction, gray matter alterations in cognitive impairment, and neural correlates of hallucinations in schizophrenia. He actively collaborates internationally, including through the ENIGMA consortium for schizotypy research. Teaching responsibilities include coordinating courses on neuroimaging techniques and supervising student projects. His work contributes to translational research bridging clinical practice and cognitive neuroscience advancements.
Sanne Moorman is an Assistant Professor in Neurobiology at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Groningen Institute for Evolutionary Life Sciences. Her research focuses on auditory-vocal learning and memory mechanisms in songbirds as models for human speech acquisition. She completed her PhD under Johan Bolhuis at Utrecht University, studying neural activity in songbirds using immediate early gene expression techniques. During postdoctoral work, she employed in vivo calcium imaging, pharmacological manipulations, and anatomical tracing to investigate neural connectivity and song performance. She currently leads the Moorman Lab - Behavioural Neuroscience. Her research interests include the behavioral and neural underpinnings of vocal learning, memory formation, and brain lateralization. She has contributed to understanding how songbirds encode and retain auditory templates for vocal imitation, with implications for human speech disorders. Key achievements include an NWO Rubicon Fellowship (2014) and over 10 peer-reviewed publications. She teaches courses such as The Neurobiological Basis of Behaviour and supervises students in the BCN Master program. Collaborations span institutions like Boston University and Tufts University, focusing on cortico-basal ganglia interactions and neural plasticity. Media engagements include public talks on birdsong and speech disorders, reflecting her commitment to science communication. Her work aligns with UN Sustainable Development Goals related to advancing knowledge and innovation in life sciences.
Dr. Laura Speed is an Assistant Professor at the Centre for Language Studies, Radboud University (Nijmegen). Her research investigates the interaction between language and sensory systems, focusing on olfaction, embodied cognition, and crossmodal perception. She explores how verbal labels influence odor perception and how multimodal resources aid olfactory meaning, including synesthesia studies. PhD in Cognitive, Perceptual, and Brain Sciences, University College London Postdoctoral researcher, University of York and Radboud University (NWO VICI project) Education: MA (Hons) in Psychology, University of Edinburgh Current research examines: Odor-color associations in synesthesia Contextual influences on olfactory perception Multisensory integration in semantic processing Language comprehension across sensory modalities Conceptual representation in aphantasia Gesture-based communication in blind vs. sighted individuals Publications demonstrate expertise in: Mental simulation Embodied semantics Crossmodal cognition Food concept encoding Motion perception linguistics Perceptual modality norms Her work bridges psycholinguistics, cognitive neuroscience, and sensory linguistics through empirical studies on perception-languagre interactions.
Stefan Stenfelt is a Professor and Head of the Division of Sensory Organs and Communication at Linköping University's Department of Biomedical and Clinical Sciences (BKV), affiliated with the Faculty of Medicine and Health Sciences. His research focuses on auditory neuroscience, bone conduction hearing mechanisms, and hearing aid technology. He leads projects at the Wallenberg Centre for Molecular Medicine (WCMM), emphasizing medical technology and bioengineering. Key interests include cochlear biomechanics, speech perception, and the development of innovative bone conduction devices. Education and affiliations: PhD in audiological engineering (implied by role). Research collaborations include the Linnaeus Centre HEAD and Swedish Institute for Disability Research. Notable contributions include studies on cochlear vibrations, binaural hearing in hearing loss, and finite element modeling of human auditory systems. Research highlights: Published extensively on bone conduction stimulation effects, cochlear mechanics, and hearing aid design. His work addresses clinical challenges in hearing impairment and aids in advancing prosthetic audiological solutions. A 2025 study on skin-covered head impedance and 2024 work on binaural hearing capabilities highlight his technical expertise. Scientific contributions: Over 50 peer-reviewed articles since 2013, focusing on auditory biophysics and clinical hearing solutions. Labs/teams: Leads the Auditory Neuroscience Group within BKV and collaborates with WCMM on medical technology interfaces.
