Find Academic Supervisors

• Cognitive Neuroscience
• Neuroimaging
• Predictive Processing
• +3 more

Lucy Petro is a Research Fellow at the University of Glasgow’s School of Psychology & Neuroscience. Her work focuses on cognitive neuroscience, particularly how context and prediction guide neural and cognitive processes. She uses advanced neuroimaging techniques like fMRI and electrophysiology to study visual processing, emphasizing contextual feedback signals in primary visual cortex (V1). Additionally, Petro is an accredited cognitive behavioral psychotherapist, integrating therapeutic insights with her neuroscience research to explore how internal models affect behavior and emotion. Research Interests Petro investigates predictive processing mechanisms in the brain, including how top-down signals influence perception and cognition. Her studies often involve high-field functional brain imaging to decode activity patterns related to visual scenes, occluded objects, and aphantasia. She collaborates with experts like Prof. Lars Muckli and Prof. Winrich Freiwald, examining cross-modal interactions (e.g., auditory influences on vision) and the neural basis of cognitive-emotional interactions. Grants & Collaborations Her current grant (2025–2029) from the Medical Research Council supports layer-specific imaging of context-dependent cognitive processing. She leads collaborations on topics such as cortical layer profiles for illusory experiences and the role of pyramidal cells in cognitive models. Supervision Belén Montabes de la Cruz (Postgraduate) Zirui Zhang (Postgraduate) Key Contributions Her work bridges clinical and experimental neuroscience, with publications in top journals like Current Biology , Trends in Cognitive Sciences , and Nature Communications . She explores how predictive coding underpins perception and how maladaptive models can be therapeutically altered.

• Decision Neuroscience
• Neural Decision-Making
• Perceptual Decision Making
• +7 more

Professor Marios Philiastides is a faculty member at the University of Glasgow's School of Psychology & Neuroscience, specializing in Decision Neuroscience. His work integrates EEG, fMRI, and computational models to study perceptual and value-based decisions, particularly focusing on neural mechanisms underlying reward learning and decision-making. Affiliations: School of Psychology & Neuroscience (University of Glasgow), Principal Investigator of the Decision Neuroscience Lab. Education: Not explicitly listed in the text; however, extensive publication history suggests advanced training in Neuroscience, Psychology, and related fields. Research Interests: His research explores the neural principles guiding human decision-making, including: Perceptual decision-making processes using EEG/MEG/fMRI Reward-based learning and prediction error signaling Computational modeling of neural evidence accumulation Clinical applications in psychiatry (e.g., depression treatment prediction) Multimodal neuroimaging fusion techniques (EEG-fMRI/TRIUX) Research Trends in Articles: Recent work emphasizes: Dynamic neural mechanisms in reward/punishment contexts Age-related changes in multisensory decision-making Inflammation's impact on reward processing Social vs. non-social decision neural commonalities Scientific Awards & Grants Wellcome Trust (2025-2030): Investigating punishment's role in reward learning European Research Council (2020-2025): Multimodal neuroimaging fusion research Multiple grants from BBSRC, ESRC, and MRC for neural decision confidence studies Advising & Collaborations Supervised postgraduate students include Kitti Ban, Li Cheng, and Nicole Lai. Collaborators include experts in computational neuroscience (e.g., Tarryn Balsdon, Jessica Diaz) and clinical researchers (e.g., Rajeev Krishnadas). Labs & Teams Directs the Decision Neuroscience Lab , focusing on translational research bridging basic neuroscience and clinical applications.

Woon Ju ParkView profile

Assistant Professor

• plasticity
• typical and atypical development
• special populations
• +3 more

Woon Ju Park is an Assistant Professor in the School of Psychology at the Georgia Institute of Technology, within the College of Sciences. His research focuses on understanding neural plasticity, sensory processing, and atypical development in special populations such as early blind individuals and those with autism spectrum disorder (ASD). He holds a Ph.D. in Brain and Cognitive Sciences from the University of Rochester, an M.S. in Cognitive Science from Yonsei University, and a B.A. in Psychology from Yonsei University. His research interests include studying how the brain adapts to sensory deprivation (e.g., blindness), the mechanisms of cross-modal plasticity, and perceptual deficits in developmental disorders. He employs multimodal neuroimaging techniques and psychophysical experiments to explore these topics. Recent work highlights enhanced auditory motion perception in early blind individuals and atypical visual processing in ASD. Dr. Park’s publications span 2011 to 2024, with a focus on sensory adaptation, neural reorganization, and translational neuroscience. His work bridges basic science and clinical applications, such as investigating transcranial stimulation to improve sensory perception. He leads the CORE Lab , which explores cognitive and perceptual mechanisms in health and disease. No scientific awards or grants are explicitly listed in the provided materials.

Ullrich BartschView profile

Lecturer

• Sleep Neurophysiology
• Neurodegeneration
• Psychiatric Disorders
• +4 more

Dr. Ullrich Bartsch is a Lecturer in Sleep and Neurodegeneration at the University of Surrey's School of Biosciences, affiliated with the Surrey Sleep Research Centre. He holds a Dipl.Biochem. from Ruhr-Universität Bochum and a PhD from the University of Plymouth. His research focuses on sleep neurophysiology, neurodegeneration, and psychiatric disorders, particularly using electrophysiological techniques like polysomnography and EEG to study sleep dynamics in healthy and patient populations. He explores interventions such as electrical brain stimulation to modulate sleep-related brain activity. As a Surrey AI Fellow, he integrates machine learning and wearable devices for sleep monitoring in conditions like dementia. Dr. Bartsch contributes to teaching modules including Neuroscience (BMS2048), Integration of Physiological Systems (BMS2038), and Cellular and Molecular Pathology (BMSM028). His research interests emphasize electrophysiological signatures of sleep in neuropsychiatric disorders, leveraging advanced analytical approaches to link sleep patterns to symptom dimensions. Recent work includes phase-locked auditory stimulation during REM sleep and closed-loop interventions targeting alpha/theta oscillations. He also investigates applications of L-DOPA in enhancing slow-wave sleep for Alzheimer's prevention. Collaborations include the Sleep and Circadian Group at the Dementia Research Institute and the Institute for People-Centred AI. Dr. Bartsch's grants include a £1.7m award for improving sleep in dementia patients. His work spans neurodevelopmental models (e.g., schizophrenia, 22q11.2 deletion syndrome) and translational studies (e.g., Batten disease in sheep). He advocates for non-invasive sleep monitoring technologies to address aging-related cognitive decline and neuroinflammatory conditions like atopic dermatitis.

• Cognitive Neuroscience
• Perception
• Data Science
• +5 more

Pascal Wallisch is a Clinical Professor of Data Science, Psychology, and Neural Science at New York University, affiliated with the College of Arts & Science. His research focuses on understanding how subjective reality is constructed through perception and cognitive processes. He holds a PhD in Cognitive Neuroscience from the University of Chicago and has held progressively senior roles at NYU since 2007, including Post-Doctoral Fellowships and Clinical Professorships across departments. Education: PhD in Psychology (Cognitive Neuroscience), University of Chicago, 2007 MA in Psychology, University of Chicago, 2004 B.A. (Vordiplom) in Psychology, Free University of Berlin, 2000 Research Interests: Wallisch explores perceptual ambiguity, subjective reality construction, and interdisciplinary applications of data science in neuroscience. His work bridges cognitive psychology, computational modeling, and behavioral analysis, with notable studies on phenomena like 'The Dress' illusion and motion perception. He emphasizes educational innovation, including computational neuroscience training through platforms like Neuromatch Academy. Key Research Trends: Recent publications highlight themes in AI-assisted learning, perceptual disagreement mechanisms, and the neural basis of social behaviors. His work often integrates data-driven approaches to address questions in perception, psychopharmacology, and social psychology. Awards & Honors: 2021/22 CAS Teaching Innovation Award 2020 Teach/Tech Award 2016 Golden Dozen College Teaching Award Multiple postdoctoral and graduate fellowships from NIH, University of Chicago, and German academic institutions Grants & Advising: While specific grants are not listed, his roles reflect sustained institutional support. He has advised numerous students in interdisciplinary neuroscience and data science programs, fostering collaborative research environments like the FoxLab (https://www.foxlabnyu.com/). Labs & Teams: Associated with the FoxLab at NYU, focusing on computational neuroscience, perception, and educational technology. Collaborates across NYU’s Center for Data Science, Psychology, and Neural Science departments.

Laia Turmo VidalView profile

Research Fellow

• Wearable Technology
• Human-Computer Interaction (HCI)
• Sensory Technology
• +3 more

Laia Turmo Vidal is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, Sweden. Her current project, Connecting Bodies: Designing Shape-changing Wearables to Improve Remote Body-based Communication , explores how wearable technologies can foster somatic connections between remote individuals through tactile and haptic feedback. This work addresses the limitations of video-mediated communication in contexts requiring physical interaction, such as remote physiotherapy or long-distance relationships. Laia holds a PhD and MSc in Human-Computer Interaction from Uppsala University (Sweden) and a BDes in Multimedia Technologies from Universitat Politècnica de Catalunya (Spain). She has held research positions at institutions including the i_mBODY Lab at Universidad Carlos III de Madrid (Spain), UCL Interaction Center (UK), and UC Santa Cruz (USA). Her research focuses on multisensory technologies, wearable devices, and design methods that enhance physical, emotional, and social experiences in health and wellbeing domains. Her work emphasizes cooperative design approaches and the role of ambiguity in supporting diverse bodily experiences. Key themes include body perception transformation, intercorporeal biofeedback, and the ethical implications of wearable technologies. She co-designs methods like Movits (minimalist embodied sketching tools) and MeCaMInD (movement-based design cards) to advance interactive technology development. Laia’s research bridges HCI with artistic practices, exploring how sensory data and materiality can create novel human-environment interactions. Her recent studies investigate sonification for body awareness, feminist approaches to bodily sensing, and sustainable design for water sports. She collaborates closely with Kristina Höök (KTH) and Georgios Andrikopoulos (KTH) on advancing interaction design methodologies.

Bhismadev ChakrabartiView profile

Professor

• Social Neuroscience
• Autism Spectrum Disorders
• Gut-Brain Axis
• +2 more

Bhismadev Chakrabarti is Professor of Neuroscience and Mental Health at the University of Reading's School of Psychology and Clinical Language Sciences. He leads research on human social behavior mechanisms, focusing on neural and gut microbiome influences. His work utilizes eye-tracking, MRI, psychophysics, and psychophysiology methodologies. Research examines: Neurobiological foundations of social cognition Autism spectrum heterogeneity Gut-brain axis interactions Cross-cultural emotion processing Neurodiversity across lifespan Recent publications demonstrate strong focus on autism phenotyping through multimodal approaches including neuroimaging, behavioral tasks, and computational modeling. Predominant themes include sensory integration differences, cross-cultural validation of traits, and transdiagnostic assessment frameworks. Neurodevelopmental trajectories and biomarker discovery are recurrent investigative threads. Laboratory activities coordinate with the Centre for Autism and Centre for Integrative Neuroscience and Neurodynamics (CINN), fostering interdisciplinary collaborations on neurodiversity research.

• Neuroscience
• Multisensory Integration
• Cognitive Neuroscience
• +3 more

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.

Julie FiezView profile

Professor

• Cognitive Neuroscience
• Neuroimaging
• Language Processing
• +4 more

Dr. Julie A. Fiez Full Professor at the University of Pittsburgh, affiliated with Psychology, Neuroscience, and Communication Science & Disorders departments. Holds positions as Senior Scientist at LRDC and Co-Director of the Center for the Neural Basis of Cognition and BRIDGE imaging center. Adjunct faculty at Carnegie Mellon University. Education: PhD in Neuroscience (Washington University, 1992), Postdoctoral training at Washington University/Iowa (1996). Research Focus: Neural mechanisms of language, reading, learning systems (basal ganglia/cerebellum), and numerical cognition. Uses neuroimaging (fMRI/MEG) and intracranial recordings. Studies include: Language networks and orthographic processing Cerebellar contributions to speech and memory Adaptive speech perception mechanisms Developmental differences in numerical representation Awards: NIH Study Section Chair (2014-2016), APS Fellow (2007), APA Early Career Award (2002), Wiley Young Investigator Award (1997). Grants/Labs: Director of Western Pennsylvania Patient Registry. Mind and Brain Lab investigates speech, language, and learning. Collaborates on cerebellar-speech studies using intracranial recordings. Future Work: Expanding research on bilingual reading mechanisms and neural plasticity in numerical cognition.

Leonardo CeravoloView profile

Researcher

• Neuroscience
• Emotional Perception
• Cognitive Neuroscience
• +5 more

Dr. Leonardo Ceravolo is a Senior Researcher and Lecturer at the Swiss Center for Affective Sciences, University of Geneva. His primary research focuses on understanding brain mechanisms underlying vocal perception, particularly attentional orienting through emotional stimuli and spatial perception. He employs advanced neuroimaging techniques like fMRI and fNIRS, alongside intracranial recordings. His work also explores sleep, memory, and emotional regulation, with a notable emphasis on music expertise and depression in the elderly. Dr. Ceravolo holds a Master’s degree (2009) and a Ph.D. (2013) from the University of Geneva. His research spans interdisciplinary areas, including cognitive neuroscience, behavioral studies, and neuroimaging applications in affective science. He has mentored numerous students, contributing to their academic and professional growth in neuroscience and related fields. His research interests are reflected in over 15 peer-reviewed articles, emphasizing vocal emotion processing, brain connectivity, and the interplay between attention and auditory stimuli. Collaborations with international researchers highlight studies on primate vocalization processing and the neural basis of emotional perception. Despite no explicit awards mentioned, his contributions to affective neuroscience have advanced methodologies in neuroimaging and human behavior analysis.

• Speech Perception
• Audiovisual Communication
• Phonetics
• +4 more

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.

• Second Language Acquisition
• Vocabulary Learning
• Listening Comprehension
• +3 more

Pengchong Anthony Zhang is a researcher at the University of Reading, affiliated with the School of Literature and Languages, focusing on second language acquisition and vocabulary learning. His work explores the intersection of listening proficiency, multimodal learning, and self-regulation strategies. Education: Not explicitly stated in the provided text Research interests include vocabulary development through auditory input, the impact of repetition and explicit instruction, and inclusive pedagogical approaches for visually impaired learners. His studies often integrate multimodal tools and eye-tracking methodologies to analyze attention patterns. Publications highlight trends in technology-enhanced language learning, comparative teaching methods, and the role of prior knowledge in vocabulary retention. Collaborations with Graham, S. and others demonstrate interdisciplinary efforts in advancing L2 research. Grants and awards are not specified in the provided data, but his work aligns with inclusive education and digital learning initiatives. Zhang's contributions appear in journals like Language Learning & Technology and Modern Language Journal , emphasizing practical applications for educators.

Hugo FastlView profile

Professor

• Psychoacoustics
• Audio-Visual Interactions
• Audio Communication
• +5 more

Prof. Hugo Fastl is a Professor at the Technical University of Munich (TUM), holding a position in the TUM School of Computation, Information and Technology, and leading the Chair of Human-Machine Communication. His research integrates engineering and acoustics, focusing on psychoacoustics, audio-visual interactions, and applications in noise assessment, sound quality design, and hearing disorder diagnosis. A pioneer in interdisciplinary acoustics, he has contributed to audio technology and musical acoustics. Prof. Fastl earned his Dipl.-Ing. in Electrical Engineering (1970) and studied Music at the Munich University of Music (1969), majoring in double bass. He completed his doctorate (1974) and habilitation (1981) at TUM, later serving as a visiting professor at Osaka University (1987) and as an associate professor of technical acoustics at TUM (1991). His career has spanned academia and industry, blending theoretical and applied research. His scientific contributions include seminal work on psychoacoustic parameters in automotive noise assessment and foundational textbooks like Psychoacoustics: Facts and Models (2007). Key awards include the EAA Lifetime Achievement Award (2017) and the Rayleigh Medal (2003). His research bridges engineering principles with human perception, addressing both technical and auditory challenges in communication systems. Prof. Fastl’s work extends to video quality assessment and signal processing innovations, as seen in his development of a hybrid metric for digital video quality (2011) and blind estimation of blocking artifacts (2010). His interdisciplinary approach underscores the intersection of technology and human experience.

Elise PayzanView profile

Professor

• Neurofinance
• Behavioral Finance
• Experimental Economics
• +3 more

Professor Elise Payzan is a leading academic in neurofinance and behavioral economics at the University of New South Wales Business School, where she holds a position in the School of Banking and Finance. Her research bridges finance, neuroscience, and experimental economics to investigate how humans perceive and react to financial risks through theoretical and experimental methodologies. Her educational background includes a PhD in Finance from the Swiss Finance Institute at École Polytechnique Fédérale de Lausanne, with prior studies at the London School of Economics and Princeton University. She holds a diploma as Engineer Statistician from ENSAE Paris and graduated from École Normale Supérieure de la rue d'Ulm, Paris. She joined UNSW Business School in September 2010 and served as a visiting associate at the California Institute of Technology from 2010-2013. Payzan's research program focuses on the neurobiological foundations of financial decision-making, examining phenomena like 'outlier blindness' where humans neglect extreme risks due to neural coding constraints. Her work integrates decision neuroscience, experimental economics, and financial economics to reveal how cognitive mechanisms shape market behaviors. Current investigations explore craving mechanisms for monetary rewards, ambient sound effects on risk perception, and neural adaptations to extreme risk events. Her publication trends demonstrate consistent interdisciplinary innovation, with recent work (2022-2024) increasingly connecting laboratory findings to field data in financial markets. Key themes include neural representations of uncertainty, risk perception distortions after extreme events, and neuroscientific approaches to generating investment alpha. Her research methodology combines controlled laboratory experiments with real-world market analysis. Payzan actively engages with public audiences through TEDxSydney (2016) and BX2018 Conference presentations, with media features in ABC TV and financial publications. She teaches Behavioral Finance (FINS3655) and supervises research in neurofinance. Her UNSW Scientia Research Grant (A$170,000, 2017-2024) supports ongoing investigations into human risk perception mechanisms.

• Speech and Hearing Sciences
• Neuroscience
• Rehabilitation Sciences
• +3 more

Dr Dion Scott serves as the Health, Safety and Wellness Committee Chair at the School of Health and Rehabilitation Sciences , University of Queensland. His research focuses on speech physiology , hearing assessment , and neurophysiological motor control . His work explores: Speech treatment for neurological disorders like ARSACS ataxia Effects of pain on corticomuscular coherence Tongue-jaw coordination in normal and pathological populations Innovations in electropalatography technology Research trends show interdisciplinary work combining neuroscience , audiology , and rehabilitation science , with applications in dysarthria assessment and biomechanical speech analysis .