Find Academic Supervisors

• Cognitive Psychology
• Psycholinguistics
• Neuroscience
• +4 more

Prof. Dr. sc. nat. Elke van der Meer is a Senior Professor at the Institute of Psychology, Humboldt University of Berlin. With a career spanning over four decades, she has made significant contributions to cognitive psychology, psycholinguistics, and temporal perception research. Her work integrates psychometrics, behavioral experiments, and neuroimaging techniques like fMRI and ERP to explore event knowledge, attention mechanisms, and differential psychological aspects in conditions such as Parkinson's and dyslexia. Education: Diploma in Psychology (1974), Humboldt University of Berlin; Dr. rer. nat. (1979) on analogy recognition; Habilitation (1983) on concept knowledge usage. Research: Focuses on knowledge representation, psychological time processing, and environmental perception. Key methodologies include pupillometry, eye tracking, and neural connectivity studies. Publications: 15 most recent works span pitch discrimination, temporal focus scales, analogical reasoning, and migration-related delinquency studies. Her research bridges cognitive science with urban ecology and educational psychology. Leadership: Served as Managing Director of the Institute (2004-2006), Principal Investigator in multiple graduate programs, and held editorial roles in key psychology journals.

Jan BullaView profile

Professor

• Hidden Markov Models
• Time Series Analysis
• Statistical Modeling
• +5 more

Jan Bulla is a Professor in the Department of Mathematics at the University of Bergen, Norway. His contact information includes email jan.bulla@uib.no and phone number +47 55582875, with his office located at Allégaten 41, 5007 Bergen. His research spans multiple disciplines with a focus on statistical methodology development and applications in diverse fields. Bulla's research interests center around Hidden Markov Models , Time Series Analysis , and Statistical Modeling , with significant applications in Tinnitus Research , Financial Mathematics , and Biostatistics . His work demonstrates expertise in developing advanced statistical techniques for analyzing complex data structures, particularly in longitudinal settings. He has made notable contributions to regime-switching models, hidden semi-Markov models, and computational approaches for parameter estimation. Analysis of Bulla's recent publications (2020-2024) reveals a clear research trajectory with three major strands: (1) methodological advances in hidden Markov models and related statistical techniques, (2) extensive research on tinnitus including clinical, physiological, and genetic aspects, and (3) applications of statistical models in financial mathematics. His work shows increasing interdisciplinary collaboration, particularly with medical researchers studying tinnitus, while maintaining strong methodological contributions to statistics. Bulla has been consistently productive with publications spanning from 2005 to the present, demonstrating sustained research activity. His most recent work focuses on computational improvements for statistical models and continued investigation into tinnitus mechanisms and correlates.

Md Shariful AlamView profile

Research Fellow

• Biomedical Image Analysis
• Deep Learning
• Medical Image Segmentation
• +5 more

Mr Md Shariful Alam is a Research Fellow at the School of Computer Science and Engineering , University of New South Wales (UNSW) , specializing in AI-driven biomedical image analysis . His work focuses on developing advanced deep learning architectures for medical imaging applications, particularly in lung segmentation and pneumoconiosis diagnosis. University: University of New South Wales School: School of Computer Science and Engineering Role: Research Fellow Contact: md_shariful.alam@unsw.edu.au | K17 Building, UNSW His research integrates attention mechanisms , feature pyramid networks , and hybrid neural architectures to address challenges in medical image segmentation . He explores data augmentation techniques to improve model robustness in pathological imaging scenarios. Publications highlight his contributions to lung disease diagnosis , deep learning optimization , and computer vision applications in healthcare.

• Dementia
• Neurodegeneration
• Cognitive Neuroscience
• +6 more

Professor James B. Rowe is a distinguished cognitive neurologist at the University of Cambridge, holding positions at the MRC Cognition and Brain Sciences Unit and Cambridge Neuroscience. His research program focuses on dementia and neurodegeneration, with four integrated pillars: defining cognitive processes affected by dementia, determining mechanisms of individual differences, predicting brain function trajectories across the lifespan, and developing new drugs to protect or restore brain function. University of Cambridge, School of Clinical Medicine MRC Cognition and Brain Sciences Unit Cambridge Neuroscience Rowe's research spans multiple neurodegenerative conditions including Alzheimer's disease, frontotemporal dementia, Parkinson's disease, and progressive supranuclear palsy. He utilizes advanced neuroimaging techniques (MEG, EEG, fMRI, DWI, PET) alongside cognitive modeling, genetics, and neuropathology to understand disease mechanisms. His work emphasizes precision biomarkers for experimental medicine studies in precisely characterized clinical populations. Analysis of his recent publications (2023-2025) reveals strong focus on synaptic loss, neuroinflammation, and noradrenergic dysfunction across neurodegenerative diseases. His team has pioneered the use of [11C]UCB-J PET to measure synaptic density in vivo, demonstrating its relationship to clinical severity in frontotemporal dementia. There's also significant work on blood-based biomarkers of inflammation and their relationship to central pathology and survival outcomes. Fellow of the Academy of Medical Sciences (FMedSci) Principal investigator for multiple major studies including CamCAN, GENFI, PROSPECT, ICICLE-PD, and PiPPIN Rowe leads an extensive research program with collaborations across Europe and beyond, conducting both observational and interventional studies. His team has established robust methods for harmonizing cognitive data across aging and dementia cohorts, enabling large-scale analyses. Current work focuses on developing the Cambridge Questionnaire for Apathy and Impulsivity Traits (CamQUAIT) and investigating noradrenergic contributions to cognitive processes in Parkinson's disease through pharmacological interventions. His laboratory integrates multiple methodologies including magnetoencephalography, PET imaging, cognitive testing, and blood biomarker analysis to understand the neural basis of cognitive changes in neurodegenerative diseases. Recent work has established important links between locus coeruleus integrity, noradrenergic function, and cognitive symptoms in parkinsonian disorders.

François RibacView profile

Professor

• Popular Music
• Performing Arts
• Comparative History of Science and Technology
• +2 more

François Ribac is a Professor at the Faculty of Letters and Philosophy, University of Burgundy. His research explores the intersection of popular music, performing arts, technology history, and cultural prescription with a strong focus on Anthropocene impacts. He holds a Habilitation (HDR) from Sorbonne University and has authored significant works including the book Performing Arts and Music in the Anthropocene (2024). Research interests span cultural policy analysis, digital transformations in music, and ecological dimensions of artistic practice. Key themes include: Cultural democratization and institutional critique Technology-mediated performance practices Ecomusicology and sustainable arts Historical epistemology of sound His publications demonstrate consistent engagement with Anthropocene challenges through interdisciplinary lenses, particularly examining how digital platforms reconfigure music consumption and how performance arts respond to ecological crises. Recent work critically assesses cultural management models and sustainability frameworks.

Anne BonninView profile

Researcher

• Bioimaging
• Cardiac Imaging
• X-ray Tomography
• +4 more

Dr. Anne Bonnin serves as a Beamline Scientist at the Paul Scherrer Institute (PSI) in Switzerland, where she has been instrumental in X-ray imaging research since joining the X-ray Tomography Group in 2014 and assuming her current role at the TOMCAT Beamline in 2016. Affiliated with PSI's Center for Photon Science and Laboratory for Macromolecules and Bioimaging, she operates at the forefront of synchrotron-based imaging techniques. Her academic foundation includes a PhD from INSA de Lyon focused on material properties for explosive detection, followed by postdoctoral work at the European Synchrotron Radiation Facility (ESRF) in X-ray diffraction and phase contrast tomography, and an NSF Research Fellowship for paleontology research at Harvard University and ESRF. Specializing in X-ray imaging (micro/nano-tomography, phase-retrieval) and powder diffraction, Dr. Bonnin leads the bioimaging program at TOMCAT with particular emphasis on the international Heart Imaging Project. Her research develops novel methodologies for materials characterization across diverse domains including cardiac microstructure analysis, paleontology, and neurodegenerative disease modeling, with significant contributions to understanding material behavior at microscopic scales. Her recent publications (2019-2021) demonstrate strong interdisciplinary impact, advancing X-ray imaging applications in energy storage (battery materials), biomedical research (cardiac/auditory systems), and materials engineering (aerogels). A defining trend is the integration of machine learning for image analysis, alongside methodological innovations like non-rigid image stitching and Fourier ptychography. These works reflect extensive international collaboration and address critical challenges in healthcare, energy, and fundamental material science. Dr. Bonnin leads the Heart Imaging Project to quantify cardiac microstructure using contrast-agent-free X-ray phase-contrast imaging, while actively contributing to the SLS2.0 upgrade project preparing TOMCAT for multiscale, multimodal, and dynamic tomographic capabilities. Her collaborative framework spans global researchers in materials science, paleontology, and biomedical engineering. As manager of the TOMCAT nanoscope—a full-field imaging setup achieving 150 nm 3D resolution—she enables cutting-edge research in absorption and phase-contrast imaging. Her team within the X-Ray Tomography Group drives the bioimaging program forward, particularly through the Heart Imaging Project's dynamic cardiac studies using modified Langendorff setups.

• Scholarly Communication
• Open Access Policies
• Library Publishing
• +3 more

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.

• Animal Cognition
• Evolution of Language
• Pattern Recognition
• +5 more

Michelle Spierings is an Assistant Professor at the Institute of Biology Leiden (IBL) within Leiden University, focusing on animal cognition and the evolution of language. Her research compares pattern recognition abilities across species, emphasizing vocal learning in songbirds and parrots. She collaborates with computational linguists and cognitive neuroscientists through the Dynamates project funded by the Austrian Science Fund (FWF). Bachelor in Biology, Leiden University Master in Neuroscience & Cognition, Utrecht University Ph.D. in Behavioral Biology, Leiden University (collaborative with linguists and computational linguists) Her research explores the cognitive underpinnings of language evolution, including rhythm perception in birds (granted Veni-2021) and dynamic decision-making in marmosets. She investigates how developmental history shapes social-learning strategies in zebra finches and budgerigars. Scientific awards include the Veni-grant (2021) for studying avian rhythm perception. Her work has been published in journals like Animal Behaviour , Current Biology , and Philosophical Transactions of the Royal Society B . As a Ph.D. candidate, she studied theory of mind in rooks with Nicola Clayton (Cambridge University). Postdoctoral work (2016–2020) at Tecumseh Fitch’s lab compared language perception in pigeons, marmosets, and humans. She currently runs a lab at Leiden University, inviting parrot participation in the Bird Singalong project.

Jürgen PeissigView profile

Professor

• Signal Processing for Audio and Acoustics
• Machine-to-Machine Communication
• Psychoacoustics
• +5 more

Prof. Dr. Jürgen Peissig is a Full Tenure Professor at the Institute for Communications Technology within the Faculty of Electrical Engineering and Computer Science at Leibniz University Hannover since 2014. He supervises a research group with 1 post-doctoral researcher and 12 PhD students across subgroups: Data Communications Systems, Audiocommunications and Acoustics, and Statistical Signal Processing. PhD in Physics (1992) from University of Göttingen Researcher at AT&T Bell Labs (1990-1991) Research Associate at Universities of Göttingen and Oldenburg (1992-1996) Industry leadership at Sennheiser (1996-2014) His research spans audio signal processing for hearing aids, cochlear implants, and immersive audio systems; machine-to-machine communication with robust waveforms (FBMC); and hybrid VLC-RF systems . Key sub-fields include noise cancellation, psychoacoustic modeling, MIMO interference alignment, and 3D audio reproduction. Recent publications focus on deep learning for sound source localization, spatial audio measurement frameworks, and wind turbine noise analysis. Trends show integration of neural networks , higher-order ambisonics , and mobile measurement systems . Recipient of Werner v. Siemens Excellence Award 2006 for thesis supervision Awarded Best Technical Paper at AES 156th Convention (2024) Best Student Paper Award at FRUCT 2020 and AES Poster Award 2019 He has taught courses on Signals and Systems , Digital Data Transmission , and Acoustical Transducers , supervising over 30 diploma/master's theses and 15 PhD students. His lab, the Immersive Media Laboratory , develops advanced audio systems for live events and virtual environments.

Aaron BraverView profile

Associate Professor

• Phonetics
• Phonology
• Laboratory Phonology
• +3 more

Aaron Braver is an Associate Professor and Director of Linguistics at the Department of English, Texas Tech University. He investigates phonetics, phonology, and their interface through both theoretical and experimental approaches, with a focus on South African Bantu languages like Xhosa. Ph.D. in Linguistics, Rutgers University (2013) B.A. in Linguistics and Linguistic Anthropology, Brandeis University His research spans three interconnected projects: Bantu (morph)phonology: Examining phonotactic generalizations in noun class morphology, uncommon sounds (e.g., Xhosa’s velar ejective affricate), and incomplete neutralization phenomena. Incomplete Neutralization: Modeling phonetic-phonological interactions in cases where contrasts persist despite phonological identity. Gesture in Language Learning: Interdisciplinary studies on whether gesturing avatars enhance computer-based L2 pronunciation learning, collaborating with psychology and computer science researchers. Recent publications highlight trends in phonetic constraint modeling (2023, 2019), Bantu morphophonology (2020, 2016), and gesture-based pedagogy (2020, 2019). He leads the Phonetics and Phonology Linguistics Lab (PPLL) at TTU.

• Autism Spectrum Disorder
• Sensory Processing
• Cortical Plasticity
• +4 more

Garrett Cardon serves as an Assistant Professor in Communication Disorders at Brigham Young University, with a primary research affiliation in the Neuroscience program within the College of Life Sciences. His work bridges cognitive neuroscience and clinical audiology, focusing on brain-behavior relationships using EEG and MRI/fMRI methodologies to investigate sensory processing in neurodevelopmental conditions and hearing disorders. Dr. Cardon's research centers on autism spectrum disorder and hearing loss, with specific expertise in atypical sensory processing, cortical plasticity, and empathy dynamics. He examines how sensory difficulties, intolerance of uncertainty, and anxiety interrelate in autistic children while studying cross-modal reorganization in cochlear implant users. His innovative approach combines scientific rigor with artistic representations to facilitate empathy between autistic and neurotypical individuals, addressing the double empathy problem through interdisciplinary frameworks. Analysis of his 15 most recent publications (2018-2025) reveals three dominant research trajectories: (1) Neurophysiological correlates of sensory processing in autism, including intolerance of uncertainty and pandemic-related stress impacts; (2) Cortical plasticity mechanisms in hearing loss across pediatric and adult populations, particularly cross-modal reorganization in cochlear implant recipients; and (3) Clinical applications of auditory evoked potentials in auditory neuropathy spectrum disorder. His work consistently integrates electrophysiological measures like ABR and CAEP with behavioral outcomes. Information regarding scientific awards, student advising activities, grant funding, and laboratory teams was not provided in the source material.

• Signal Processing
• Machine Learning
• Acoustic Communication Systems
• +4 more

Rainer Martin is a Professor of Information Technology and Communication Acoustics at Ruhr-Universität Bochum, where he has been affiliated since 2003. He served as Dean of the Faculty of Electrical Engineering and Information Sciences from 2007 to 2009. He holds a Dipl.-Ing. and Dr.-Ing. from RWTH Aachen University and an M.S.E.E. from Georgia Institute of Technology. His research focuses on signal processing, machine learning, and acoustic systems for voice communication, hearing instruments, and human-machine interfaces. Key areas include speech enhancement, noise reduction, binaural processing, cochlear implant optimization, and acoustic sensor networks. His work integrates deep learning with traditional signal processing for real-world applications. Recent publications emphasize neural networks for noise control, hearing aid algorithms, radar interference mitigation, and auditory perception modeling. Trends show strong convergence of machine learning with acoustic engineering, particularly in low-power embedded systems and healthcare applications. Awards: Fellow of the IEEE He leads projects on acoustic sensor networks, automotive radar, and hearing technology, collaborating with industry partners. His lab develops algorithms for hearing aids, cochlear implants, and robust communication systems, with patents spanning noise reduction, echo control, and speech enhancement.

Jason CheinView profile

Professor

• Cognitive Psychology
• Cognitive Neuroscience
• Neuroscience
• +6 more

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.

Osvaldo De AlmeidaView profile

Professor

• Geriatric Psychiatry
• Depression
• Bipolar Disorder
• +8 more

Osvaldo De Almeida is a Professor of Geriatric Psychiatry at the University of Western Australia (UWA) and holds an adjunct position in the UWA Medical School's Psychiatry department. He completed his medical training at the University of São Paulo and earned a PhD from the Institute of Psychiatry in London. His research focuses on modifiable risk factors for cognitive decline, neuropsychology, and neuroimaging of mental disorders in later life. Key awards include the Jansen Award for Schizophrenia Research (1994). He has led numerous NHMRC-funded projects totaling over A$5 million, investigating cognitive impairment, depression, and lifestyle interventions in aging populations. Education: MD from University of São Paulo (1986), PhD in Psychiatry from the Institute of Psychiatry, London (1993). Research Interests: Geriatric Psychiatry Depression and Bipolar Disorder Schizophrenia with Late Onset Cognitive Decline Mechanisms Neuroimaging Applications Recent Articles Highlight: Cardiac biomarkers and cardiovascular disease risk Psychological interventions for subthreshold depression Impact of diabetes medications on mental health Grants and Projects: Over 75 funded projects since 2001 A$1.8M for Ageing Well research (2006–2011) Kimberley Indigenous Health Studies Labs/Teams: Collaborates with the Centre for Alzheimer’s Disease Research and Care, Perth Elderly Cohort Study.

Myungin LeeView profile

Lecturer

• Multimodal Instrument Design
• Human-Computer Interaction (HCI)
• Machine Learning
• +7 more

Myungin Lee is a Lecturer at the Department of Immersive Media Design, University of Maryland, College Park. His research focuses on designing multimodal instruments and interactive systems that integrate principles from HCI, machine learning, signal processing, and neuroscience. Key projects include NeuResonance (inter-brain synchronization feedback) and FractalBrain (EEG-based VR mindfulness tools). He has contributed to venues like ACM CHI, IEEE VIS, and NIME, and holds patents on reverberation time estimation using neural networks. Research interests span crossmodal correspondence in XR, neuro-interactive systems, and real-time audio-visual simulations. Notable collaborations include the NASA Ocean Project and AlloSphere Research Group . His work has been showcased at Ars Electronica and Getty PST 2024. Education: PhD in Media Arts & Technology (implied by dissertation, 2023) Patents: Multichannel microphone-based reverberation time estimation methods (WO2018111038A1, US10854218B2, etc.).