جست‌وجوی استاد و پژوهشگر

Jennifer J. Vannestمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Language and Memory
• Epilepsy
• +۴ مورد دیگر

Jennifer J. Vannest is a cognitive neuroscientist at the University of Cincinnati, specializing in functional MRI (fMRI) studies of language, memory, and neurodevelopmental disorders. Her research focuses on brain connectivity, epilepsy, and developmental conditions like speech sound disorders and Down syndrome. Education : PhD from Ohio State University, postdoctoral training at University of Michigan and University of Rochester Affiliation : University of Cincinnati (via email domain) Research Interests : Cognitive Neuroscience of Language and Memory Epilepsy and Neurodevelopmental Disorders fMRI and Brain Connectivity Analysis Article Trends : Her recent publications examine language outcomes in preterm children, white matter organization in epilepsy, neural changes post-stroke, and neuroimaging in opioid-exposed infants. Topics include neurodevelopmental impacts, rehabilitation strategies, and cognitive deficits in chronic conditions. Collaborations : She works with experts in neurology, speech pathology, and pediatric neuroimaging across institutions like University of Michigan, Ohio State University, and Cincinnati Children's Hospital.

Bahar Shahsavaraniمشاهده پروفایل

استادیار

• Neuroscience
• Audiology
• Cognitive Science
• +۳ مورد دیگر

Bahar Shahsavarani is a Full-Time Assistant Professor in the Department of Audiology at San Jose State University , affiliated with the College of Health and Human Sciences . She holds a Ph.D. in Communication Disorders from the University of Nebraska-Lincoln and completed postdoctoral training at Columbia University, NIMH, and the University of Illinois at Urbana-Champaign. Education: Ph.D. in Communication Disorders, University of Nebraska-Lincoln Postdoctoral Training: Columbia University National Institute of Mental Health (NIMH) University of Illinois at Urbana-Champaign Research Focus Her research explores how hearing disorders (tinnitus, hearing loss, vertigo) alter brain structure and cognitive function. Key themes include: Neuroimaging of auditory and cognitive networks Functional connectivity dynamics in tinnitus Neuroplasticity in hearing loss Computational methods for analyzing brain data Impact of auditory interventions on brain states Publication Trends Recent work emphasizes cyclicity analysis for mapping cortical dynamics, multi-modal neuroimaging of tinnitus, and cross-species comparisons of auditory processing. Studies frequently link structural/functional brain changes to behavioral outcomes like speech-in-noise performance.

Mohamed S. Ameenمشاهده پروفایل

پژوهشگر ارشد

• Sleep and Consciousness
• Neural Mechanisms of Cognitive Processing
• Science Communication
• +۳ مورد دیگر

Mohamed S. Ameen is a Postdoctoral Researcher at the University of Salzburg's Department of Psychology within the Laboratory for Sleep, Consciousness, and Cognition Research. His work integrates cognitive neuroscience and sleep physiology to investigate neural mechanisms during sleep states, utilizing advanced neuroimaging techniques including hdEEG and fMRI. His academic journey includes: PhD in Cognitive Neuroscience (2019-2024) from University of Salzburg under Kerstin Hoedlmoser M.Sc. in Neuroscience (2014-2016) through Joint Master program (Strasbourg/Freiburg/Basel) with thesis at Cambridge University B.Sc. in Pharmacy with Honours (2008-2013) from Cairo University Dr. Ameen's research centers on sleep-consciousness interactions and neural information processing , with particular emphasis on how the brain selectively processes external stimuli during sleep. His investigations into (non-)oscillatory neural activity reveal how aperiodic signals and oscillations track sleep architecture changes and support memory consolidation. He actively promotes scientific literacy through science communication initiatives targeting both academic and public audiences. Analysis of his publication record shows consistent focus on sleep-dependent neural mechanisms, particularly the role of sleep spindles in memory processing and the brain's capacity for selective auditory processing during sleep. His methodological expertise in analyzing both oscillatory and aperiodic neural activity has advanced understanding of sleep's functional architecture. His scientific recognition includes: Young Talent Award for Sleep Research (2023) Young Investigators Award (2022) DOC doctoral fellowship (2019) Early Career Postdoctoral Grant (2024) Dr. Ameen has secured significant research funding including a €42,693 Early Career Grant for his REM Sleep Structure project and €115,000 DOC fellowship. As Student Speaker for the Imaging the Mind Doctoral College (2019-2024), he facilitated academic development while maintaining active collaborations across Columbia University, Free University of Brussels, and Cambridge University. His technical proficiency spans Python, MATLAB, and advanced EEG analysis toolboxes. He operates within the Center for Cognitive Neuroscience Salzburg, collaborating closely with Prof. Manuel Schabus and Assoz.-Prof. Kerstin Hoedlmoser. His international research network extends through recent stays at Columbia University's Electrophysiology Lab and Free University of Brussels' Neuropsychology Unit, driving cross-institutional investigations into sleep's role in cognitive processing.

Kjell Andreas Oddekalvمشاهده پروفایل

پژوهشگر ارشد

• Rhythm Analysis
• Hip-hop Studies
• Microrhythm
• +۶ مورد دیگر

Kjell Andreas Oddekalv is a Postdoctoral Fellow at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion (University of Oslo). His work bridges hip-hop scholarship with music cognition , focusing on rap flow analysis , microrhythm , and language-music interactions . As a member of the Norwegian hip-hop band Sinsenfist , he combines academic research with practical experience in music production , lyric writing , and instrumental performance . Project: Chimera Timing and Sound in Musical Microrhythm (TIME) The Lyrical Making of African Diaspora Futures (Word, Sound and Power) His research explores poetic structures in rap , auditory stream integration , and interdisciplinary methodologies to analyze rhythm across cultures. He actively contributes to the European Hiphop Studies Network and co-founded the Research Group for Song Lyrics . Oddekalv also investigates educational frameworks for flow analysis and its application in formal music education. Publications highlight his work on microrhythmic complexity , layered vocal production , and the evolution of Norwegian rap flows . His projects, including Making Dope Shit , focus on computational approaches to rhythm and auditory perception. Oddekalv teaches at the intersection of hip-hop studies and music cognition , emphasizing cross-disciplinary collaboration.

Maja Dyhre Foldalمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Cognitive Neuroscience
• Cognitive Psychology
• +۵ مورد دیگر

Maja Dyhre Foldal is a Postdoctoral Fellow at the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion (University of Oslo). She is affiliated with the Endestad Brain Imaging Group (EBIG) and FRONT neurolab research teams. Education : PhD in Cognitive Neuroscience (University of Oslo, 2021) Master of Philosophy in Psychology (University of Oslo, 2015) Bachelor in Psychology (University of Oslo, 2013) Research Focus : Investigates how the brain predicts future events using EEG and auditory experiments. Key areas include predictive timing , temporal regularities , attention modulation , and electrophysiological mechanisms of cognitive control. Her work explores how musical rhythms influence neural dynamics and selective attention. Publication Trends : Recent articles examine beta oscillations , orbitofrontal cortex lesions , and attentional synchronization with rhythmic stimuli. Subfields span auditory perception , neural oscillations , and cognitive resilience in working memory. Labs & Teams : Active member of the RITMO Centre (University of Oslo), contributing to interdisciplinary studies on rhythm and cognition. Collaborates with the Endestad Brain Imaging Group and FRONT neurolab on predictive timing and cognitive control projects.

Elliot Freemanمشاهده پروفایل

مدرس ارشد

• Cross-modal integration
• Synaesthesia
• Visual perception
• +۷ مورد دیگر

Dr. Elliot Freeman is a Senior Lecturer and Admissions Tutor in the Department of Psychology at City, University of London, within the School of Social Sciences. He received his PhD in Psychology from the University of Bristol in 1998 and completed postdoctoral research at the Institute of Cognitive Neuroscience, University College London, before holding a lectureship at Brunel University and joining City University in 2009. His research expertise lies in cognitive neuroscience and perception, with a focus on: Cross-modal integration Synaesthesia (particularly the Visually-Evoked Auditory Response) Visual perception and attention Perceptual grouping Individual differences in audiovisual timing Numerical cognition His recent publications reveal a strong trend in multisensory integration, especially how visual motion can evoke auditory sensations and how sight and sound are subjectively desynchronized across individuals. He employs psychophysics, fMRI, EEG, and brain stimulation (TMS, tES) to explore the neural mechanisms underlying these perceptual phenomena. His work challenges traditional views of sensory synchrony and proposes the 'temporal renormalization' theory. Dr. Freeman has received recognition through media coverage in outlets such as New Scientist and Mail Online for his research on synaesthesia and sensory perception. He actively supervises PhD students, including Dr. Alberta Ipser, Dr. Iro Ntonia, and Christopher Fassnidge, and teaches courses in Cognitive Psychology and Cognitive Neuroscience. His lab investigates how attention modulates visual processing and how brain regions interact during multisensory tasks.

Ana Serranoمشاهده پروفایل

دانشیار

• Visual Computing
• Computational Imaging
• Material Appearance Perception
• +۵ مورد دیگر

Ana Serrano is an Associate Professor at the Universidad de Zaragoza, affiliated with the Graphics & Imaging Lab in the College of Engineering. Her research lies at the intersection of visual computing, perceptual modeling, and virtual reality, with a focus on improving user experience through perceptually-driven tools for content creation. Her research interests span computational imaging, material appearance perception and editing, virtual reality, and crossmodal perception. She investigates how human perceptual systems can inform the design of more effective and immersive visual technologies, particularly in VR environments. Her work integrates psychophysics, machine learning, and computer graphics to develop models of attention, saliency, and appearance perception. The recent publications (2023–2025) reflect a strong trend in perceptual modeling in immersive environments, with a focus on audiovisual integration, saliency prediction (AViSal360, SAL3D), HDR rendering (Cinematic Gaussians), and material appearance (gloss prediction). Many works combine deep learning with human perception studies, often validated through user experiments. There is a consistent emphasis on real-world applicability in VR content creation and cinematic VR. Eurographics 2020 PhD Award Eurographics 2023 Young Researcher Award VGTC VR 2024 Significant New Researcher Award Adobe Research Fellowship (Honorable Mention, 2017) NVIDIA Graduate Fellowship (2018) Ana Serrano actively supervises PhD and Master’s students and has taught courses such as Virtual Reality and Computational Imaging. She has secured research funding from ERC and national grants. She serves on editorial boards of Computer Graphics Forum , ACM Transactions on Applied Perception , and Computers & Graphics , and has chaired major conferences including Eurographics 2023 Tutorials and SAP 2022. She leads the Graphics & Imaging Lab, which conducts interdisciplinary research combining computer graphics, perception, and machine learning.

Samuel Jonesمشاهده پروفایل

مدرس

• Auditory Processing
• Neural Population Dynamics
• Resource-Rational Modeling
• +۶ مورد دیگر

Dr. Samuel Jones is a Lecturer at the School of Psychology and Sports Science , Bangor University, supported by a Royal Society Research Grant. His work bridges behavioral experimentation and computational modeling to understand neurological disorders affecting speech, language, and communication. Education: PhD (Lancaster University, 2020), MA (University of Nottingham, 2017) Research Interests focus on: Auditory processing in neurodivergent individuals Neural population dynamics of learning and cognitive control Resource-rational models of neurodivergent information seeking Recent publications span Developmental Science , Psychological Review , and Trends in Cognitive Sciences , emphasizing computational approaches to developmental language disorders and neurodivergent cognition. Scientific Awards : 2024 - Royal Society Research Grant (£30,896.57) 2023 - UKRI Talent and Research Stabilisation Fund (£7,160) 2022 - Bangor University Innovation and Impact Award (£46,582) Grants include projects on bilingual screening tools for autism assessment and neurodevelopmental centers for rural and bilingual contexts. He co-created the North Wales Speech and Language Exchange and serves on editorial boards of British Journal of Developmental Psychology and Language Development Research .

• Cognitive Music Psychology
• Singing Acoustics
• Text Intelligibility
• +۳ مورد دیگر

Marju Raju is a Researcher and Research Ethics Adviser at the Estonian Academy of Music and Theatre (EAMT), where she has worked since 2016 (full-time since 2020). She holds a PhD in Musicology from EAMT (2015), an MA in Musicology from EAMT (2008), and an MSc in Psychology from Tallinn University (2007). Prior to academia, she served as a Research Advisor at Estonia's Ministry of Social Affairs (2015-2020), developing evidence-based policies in health and social domains. Her research bridges cognitive psychology and musicology, focusing on: Singing acoustics and text intelligibility Music's impact on mental health and identity formation Performance anxiety in musicians Evidence-based policymaking frameworks Her recent publications (2023-2025) demonstrate strong emphasis on empirical studies of vocal techniques, LGBTQ+ choir well-being, and cultural policy capacity-building in post-pandemic Europe. Awards & Honors: Nationally recognised science populariser award (2023) Young Researcher Grant, Estonian Academy of Sciences (2021) Multiple national student research competition prizes (2004-2008) Supervision & Projects: Advises PhD candidate Veeda Kala and has supervised 3 Master's students. Leads research projects on: Subcultural music's impact on youth mental health (€216K grant) Vocal text intelligibility improvement (€700K grant) Chairs the Estonian Musicological Society (2024-) and serves on EAMT's Ethics Committee. Member of International Association for the Study of Popular Music and International Society for Ethnology and Folklore.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۹ مورد دیگر

Han Chen is an active academic researcher in the fields of artificial intelligence, machine learning, computer vision, and biomedical informatics, with extensive publications in top-tier venues such as CVPR, ICLR, IEEE Transactions, and Bioinformatics. The research spans diverse applications including medical image analysis, deepfake detection, federated learning, and multimodal affective computing. The research interests of Han Chen include artificial intelligence, machine learning, computer vision, medical image analysis, graph neural networks, and cybersecurity. The work emphasizes deep learning architectures, multimodal fusion, and robustness in AI systems, particularly in healthcare and security applications. Key themes include disentangled representation learning, contrastive learning, and transformer-based models. The recent articles demonstrate a strong trend toward multimodal AI, with applications in medical diagnostics (e.g., mammography, nasopharyngeal imaging), trustworthy AI (e.g., deepfake detection, backdoor defense), and efficient learning paradigms (e.g., federated learning, weak supervision). There is a consistent focus on enhancing model interpretability, robustness, and real-world applicability across domains. Scientific Awards: No awards explicitly mentioned in the provided text. Advising and Grants: There is no explicit information about students or advising. However, the high volume of collaborative research suggests active involvement in research teams and likely supervision of graduate students. Funding sources are not mentioned, but the scope of work implies support from national or institutional research grants in AI and health informatics. Labs and Teams: While no specific lab or team is named, the collaborative nature of the work—especially with researchers in medical imaging and federated learning—suggests membership in a multidisciplinary AI research group, possibly affiliated with a medical school or engineering institute.

Ina Blomمشاهده پروفایل

استاد

• Art History
• Avant-garde
• Aesthetics
• +۵ مورد دیگر

Ina Blom is a Professor of Art History at the University of Oslo, with a focus on avant-garde movements, media aesthetics, and the intersection of art and technology. Her research spans contemporary art theory, media archaeology, and the social implications of technological infrastructures. University: University of Oslo Department: Department of Philosophy, Classics, History of Art and Ideas In her work, Blom explores themes such as the Anthropocene , media archaeology , and technological sensibilities , often linking historical avant-garde practices to contemporary digital and media art. Her recent publications analyze the role of algorithms, environmental change, and the politics of media infrastructures. Key trends in her articles: Blom's research bridges avant-garde traditions with modern media theory, emphasizing technological memory , social collectivity , and environmental aesthetics across digital, video, and installation art. Teaching: Blom has taught courses on art and technology, media archaeology, and contemporary art at both the University of Oslo and the University of Chicago, including topics like Media Atmospheres and Fluxus and the Question of Media . Notable projects: She is affiliated with the Oslo School of Environmental Humanities and has contributed to research groups in Visual Studies .

Lars Nybergمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Psychology
• Neuropsychology
• +۵ مورد دیگر

Lars Nyberg is a Professor of Neuroscience at Umeå University, holding positions in Radiation Sciences and the Department of Integrative Medical Biology. He serves as the Director of the Umeå Center for Functional Brain Imaging (UFBI), a leading facility for neuroimaging research in Sweden. Professor Nyberg's research focuses on using brain-imaging techniques to examine memory functions in both healthy individuals and those with neurological conditions. His work spans cognitive neuroscience, neuropsychology, and aging research, with particular emphasis on understanding how memory functions change throughout adult life. One of his major research initiatives is the Betula study, a longitudinal project aimed at identifying risk factors for dementia and early signs of cognitive decline. This comprehensive study has revealed strong genetic contributions to individual differences in memory function and their relationship to structural and functional brain changes. Professor Nyberg's scientific contributions have been recognized with numerous prestigious awards: Member of The Royal Swedish Academy of Sciences (2008) KA Wallenberg Scholar (2009) Mångbergs Prize in Neural Sciences, Umeå University, Sweden (2008) Gustafsson Prize in medicine from The Royal Swedish Academy of Sciences (2007) Brain Research Interactive Young Investigator Award (2002) Award from the Royal Skytteanska Society to 'eminent young researchers' (1994) As Director of the Umeå Center for Functional Brain Imaging, Nyberg oversees a state-of-the-art facility supporting numerous research projects examining brain structure and function. His laboratory employs various neuroimaging techniques including fMRI, PET, and DTI to investigate the neural correlates of memory and cognitive processes. The Betula study, which he leads, represents one of the most comprehensive longitudinal investigations of cognitive aging and dementia risk factors in the world.

Marcel Breeuwerمشاهده پروفایل

استاد

• Medical Image Analysis
• Visualization
• Computational Modeling
• +۶ مورد دیگر

Marcel Breeuwer is a part-time Full Professor at Eindhoven University of Technology (TU/e) in two departments: Biomedical Engineering and Electrical Engineering . His research bridges Medical Image Analysis and Signal Processing Systems to develop computational models for diagnosing and managing cardiovascular disease , neurological disorders , and cancer . He also contributes to data compression , image-guided surgery , and machine learning in clinical contexts. Education: MSc in Electrical Engineering (Information Theory), Delft University of Technology (1982) PhD in auditory-augmented lipreading, VU University Amsterdam (1985) Dr. Breeuwer’s work focuses on deep learning applications in medical imaging , generative AI for synthetic medical data, and semi-supervised surgical phase recognition . His recent publications highlight advancements in myelin quantification for multiple sclerosis and AI-assisted motion analysis in spinal diagnostics. He holds fellowships with the European Alliance for Medical and Biological Engineering Sciences and serves on the board of the Dutch Society of Pattern Recognition and Image Processing . Collaborative projects include NeuroPlatform and EAISI Health initiatives.

• Music Psychology
• Music Cognition
• Auditory Memory
• +۴ مورد دیگر

Dr. Tim Byron is a Lecturer in the School of Psychology at the University of Wollongong, Faculty of the Arts, Social Sciences and Humanities, where he has held academic appointments since 2018. His research focuses on the intersection of music psychology and cognitive processes, particularly examining how musical structures interact with memory systems and expectation formation. His educational background includes a PhD from Western Sydney University (2004-2009), which provided the foundation for his specialized work in music cognition. This training is evident in his methodologically rigorous approach to studying auditory phenomena. Byron's research program centers on music cognition with particular emphasis on earworm phenomena, musical hooks, and the physiological responses to musical expectation violations. His work demonstrates how musical elements like vocals, compound hooks, and choruses enhance memorability through complex interactions between auditory processing and memory systems. Recent investigations have explored autonomic responses to rhythm changes using heart rate variability measurements, revealing the deep physiological embedding of musical processing. Analysis of his publication trends shows consistent output across multiple formats including high-impact journal articles, book chapters, and media contributions. His work spans fundamental cognitive processes in music perception to applied analyses of contemporary streaming habits and chart music evolution. The 2022 book "Hooks in Popular Music" represents a significant synthesis of his research on musical catchiness factors. Byron actively supervises doctoral research with five current students working on topics including cardiac responses during music listening, philosophical pitch analysis, and mental health in music performance students. His teaching portfolio includes coordinating the History and Philosophy of Psychology course while offering supervision in music psychology and cognition. His leadership roles include serving as Head of Students since February 2023 and regular media engagement through The Conversation, ABC broadcasts, and international conference presentations. This public scholarship demonstrates effective translation of complex cognitive concepts for broader audiences.

• Audiology
• Hearing Science
• Speech Perception
• +۲ مورد دیگر

Adam Svec, Ph.D., Au.D., CCC-A is an Assistant Professor in the Department of Audiology at San José State University. His clinical research explores the impact of hearing loss on communication, focusing on auditory masking phenomena and hearing aid optimization. Ph.D. in Speech-Language-Hearing Science, University of Minnesota (2015) Au.D. in Audiology, University of Minnesota (2014) M.A. in Speech-Language-Hearing Science, University of Minnesota (2012) B.A. in Theatre-Dance, Luther College (2002) Dr. Svec's research spans auditory processing, noise masking, and speech perception challenges in hearing-impaired individuals. His work examines temporal envelope fluctuations, cochlear gain mechanisms, and modulation masking attributes. Recent publications highlight trends in hearing science, including computational modeling of auditory masking, noise disruption analysis, and virtual audiology education tools. His scholarship often addresses clinical applications for hearing rehabilitation. ASHA Certificate of Clinical Competence in Audiology (CCC-A) Minnesota Audiology License California Audiology License Dr. Svec actively supports LGBTQIA+ communities, people of color, and immigrant populations within academic environments. He maintains professional memberships in The Acoustical Society of America, American Auditory Society, and American Speech-Language-Hearing Association.