Find Academic Supervisors

• Human-Centered AI
• Speech Processing
• Multimodal Fusion
• +3 more

Dr Andrew Abel is a Lecturer at the Department of Computer and Information Sciences, University of Strathclyde, specializing in Human-Centered AI technologies that enhance educational inclusion and accessibility. His work bridges artificial intelligence with multimodal signal processing to address real-world challenges in speech perception and human-computer interaction. Education : PhD in Computer Science (Speech Processing), University of Stirling (2007-2012) Research Focus : Dr Abel leads the Human-centred AI Technologies for Inclusion in Education and Society project (2023-2027), focusing on AI-driven educational accessibility. He also contributed to AV-COGHEAR (2016-2019), developing cognitively-inspired hearing aid technologies that combine audio-visual inputs for speech enhancement. Publications span affective computing, speech reconstruction, multimodal fusion, and educational technologies. Recent works include valence-arousal prediction systems, lightweight lip-to-speech models, and automated programming assessment frameworks. Awards : Strathclyde Chancellor's Fellowship Collaborations : Dr Abel collaborates across biomedical engineering and computer science domains, with emphasis on explainable AI and sustainable educational technologies aligned with UN SDG4 (Quality Education).

• Political Psychology
• Social Psychology
• Emotional Responses
• +5 more

Maaike Homan is a postdoctoral researcher in the Organisational Behaviour Group at Utrecht University's Faculty of Social and Behavioural Sciences, working within the Department of Social, Health and Organisational Psychology under the chair of Prof. Naomi Ellemers. She completed her PhD at the Hot Politics Lab at the University of Amsterdam, where she focused on emotional communication of politicians and voter responses. Dr. Homan's research examines the interplay between physiological changes in the body and subjective feelings in response to societal challenges, political issues, and politicians. Her current postdoc project investigates how societal challenges like immigration, climate crisis, and gender equality elicit physiological stress responses in individuals and how these responses influence opinion formation. She employs a variety of physiological measurements in both laboratory and field settings, including facial electromyography (fEMG), skin conductance, eye-tracking, and EEG. Her publication record reveals a strong focus on political psychology, particularly examining how emotional displays of politicians affect voter responses. Her work often combines physiological and self-report measures to understand the complex relationship between emotional expression, physiological responses, and political judgment. A recurring theme across her research is the investigation of how nonverbal emotional cues in politics influence perception, cognition, and behavior. Dr. Homan has engaged with the public through media appearances, including organizing a combined research project and public engagement event 'Blood, Sweat and Talk' at Lowlands Festival in 2024 and providing expert commentary on political nonverbal communication for NRC in 2023. She actively collaborates with researchers including Bakker, Schumacher, and Rooduijn, and her work spans multiple methodologies from experimental laboratory studies to field research. Her research group utilizes advanced psychophysiological techniques to measure emotional responses that may not be captured through self-report alone, providing a more comprehensive understanding of political emotional processing.

• Eye Tracking
• Medical Education
• Visual Expertise
• +5 more

Dr. Ellen Kok is an Assistant Professor at the Department of Education within the Faculty of Social and Behavioural Sciences at Utrecht University . Her research focuses on learning complex visual tasks with a specialization in eye-tracking methodology applied to medical education and radiology training . She investigates the use of gaze displays for teaching and learning, including applications like Eye Movement Modelling Examples (EMME) and feedback systems for medical image interpretation . Her research spans three key areas: (1) Using teacher gaze displays to support student attention and strategy learning, (2) Implementing student gaze displays for teacher adaptation, and (3) Developing gaze-based feedback mechanisms for self-monitoring. This work is grounded in example-based learning and cognitive load theory . She also studies expertise development in visual diagnostic tasks through one-to-one supervision and master-apprentice learning contexts. Current research trends show strong focus on gaze-based instructional systems (2020-2024), with keywords spanning Medical Education , Radiology , Cognitive Load , and Educational Technology . Sub-fields include diagnostic reasoning , visual attention modeling , feedback systems , radiology workflow , neural correlates of expertise , and medical image analysis .

Jackelyn HwangView profile

Associate Professor

• Urban sociology
• Race and ethnicity
• Immigration
• +3 more

Jackelyn Hwang is an Associate Professor at the Department of Sociology, Stanford University, and Director of the Changing Cities Research Lab. Her work bridges urban sociology, racial inequality, and computational methodologies to study contemporary urban transformation. PhD in Sociology and Social Policy, Harvard University AM in Sociology, Harvard University BAS in Sociology and Mathematics, Stanford University Her research focuses on racialized urban change , gentrification dynamics , and computational social observation . Using tools like Google Street View imagery and computer vision, she examines neighborhood conditions, displacement patterns, and policy implications for equity. Recent publications analyze visible neighborhood conditions (2023), residential mobility during gentrification (2025), and ethnoracial property ownership patterns (2025). She has developed scalable measurement frameworks and advised policymakers on housing instability. Jane Addams Award for Best Article (2021) Recipient of NSF and Joint Center for Housing Studies grants Collaborations with Federal Reserve Bank and Oakland's Housing Department As lab director, she mentors PhD students in computational urban research. Her work appears in American Journal of Sociology , Demography , and Sociological Methodology , with policy briefs on rent control and homelessness prevention.

• Face Processing
• Cultural Neuroscience
• Visual Cognition
• +3 more

Dr. Roberto Caldara is a Full Professor in the Department of Psychology at the University of Fribourg . His research focuses on cultural influences in face processing , neural mechanisms of facial emotion recognition , and cross-cultural visual cognition . He leads two major research projects: Faces in motion (2022-2026) investigating dynamic facial expression decoding, and The Speed of Race (completed 2020-2025) examining race categorization dynamics. Key methodologies: Eye-tracking, EEG, fMRI, and computational modeling Major findings: Cultural modulation of face processing, Other-Race Effect, Saccadic reaction time differences Research Trends Recent publications (2022-2025) reveal three dominant themes: Neural Dynamics : Investigating face processing in prosopagnosia patients using electrophysiology Cultural Biases : Cross-cultural comparisons of visual strategies in emotion recognition Methodological Innovation : Development of statistical toolboxes like iMap4 for eye movement analysis Scientific Impact His work has significant implications: Challenging universality of facial expression recognition Revealing neural markers for face processing expertise Developing standardized face matching tests Creating assistive technologies (iKnowU glasses) for clinical populations

Wolfgang Einhäuser-TreyerView profile

Professor

• Attention
• Eye movements
• Binocular rivalry
• +7 more

Wolfgang Einhäuser-Treyer is a Full Professor of Physics of Cognition at the Chemnitz University of Technology , Germany, since 2015. His research focuses on understanding how the human brain extracts behaviorally relevant information from complex, ambiguous signals through studies on attention, eye movements, binocular rivalry, and their interactions with motivational and cognitive processes in naturalistic settings. Key research areas: Attentional selection in natural scenes Perceptual decision-making and binocular rivalry Age-related changes in visual processing Motivational salience and gaze control Current projects: B1: Interaction of visual and motivational salience B4: Information value effects in associative learning B5: Value-based perception-action modulation during aging He contributes to software development for ethics review boards and serves on multiple academic committees including the CRC1410 Hybrid Societies and Center for Sensing and Cognition (CeSeCo) . His work involves psychophysics, eye-tracking, neural imaging, and pharmacological interventions. As an Editorial Board member of the Journal of Vision (since 2018) and Academic Editor for PLoS Computational Biology (since 2022), he actively participates in academic publishing. His research has been funded by collaborative research centers and grants targeting cognition, perception, and aging. Collaborations span institutions like Justus Liebig University Giessen , Philipps-University Marburg , and international teams in Switzerland, USA, and Israel. Students and employees in his group include Sabine Grimm, Patricia Müller, and others working on cognitive neuroscience and perception.

• Medieval Spanish Hagiography
• Corporeal Symbolism
• Art Engagement Studies
• +4 more

Professor Andrew Beresford, affiliated with the School of Modern Languages and Cultures at Durham University , is a distinguished academic specializing in Medieval Spanish Hagiography , Corporeal Symbolism , and Art Engagement Studies . His interdisciplinary research bridges Religious Studies , Art History , and Digital Humanities methodologies like Eye-Tracking to analyze audience behaviors in cultural heritage contexts. Research Interests Central to his work is the exploration of female sanctity through corporeal imagery (e.g., eye-mutilation in St Lucy's legend), postcolonial interpretations of Castilian religious texts, and devotional practices in late medieval Spain. Recent publications examine the visual dynamics of museum engagement and the symbolic role of the body in Iberian religious narratives. Publications & Methodology His 2025 conference contribution on Eye-Tracking in Museums introduces quantitative audience analysis to GLAM sector studies. Earlier works like Sacred Skin (2020) and Reading Religious Subjects (2018) combine textual criticism with visual semiotics to decode saintly representations. Collaborative Networks He collaborates extensively with institutions like the Bowes Museum and Auckland Castle Trust , contributing to projects on cultural preservation and digital humanities innovation. His work with the Durham Infancy and Sleep Centre (2018) highlights interdisciplinary applications of hagiographic studies to broader social theories.

• Psycholinguistics
• Bilingualism
• Second Language Acquisition
• +3 more

Dr. Kimberley Mulder is a researcher at the Faculty of Humanities, University of Amsterdam, specializing in Modern Foreign Languages and Cultures . Her work bridges psycholinguistics, cognitive science, and neuroscience, focusing on first and second language processing . Her research explores bilingualism, speech comprehension, and multimodal integration using techniques like EEG (Electroencephalography) Eye-tracking ERP (Event-Related Potentials) Reaction Time Modeling Key themes include reduced speech processing, exemplar memory effects, and neural oscillations in language tasks. Recent publications (2017–2024) demonstrate trends in cross-language activation , iconicity in spatial language , and tonal processing . Methodologically, she emphasizes EEG signal analysis, lexical decision experiments, and cognitive modeling.

Lam AnView profile

Assistant Professor

• Marketing Communications
• Persuasion
• Nonverbal Cues
• +7 more

Lam An is an Assistant Professor of Marketing at the University of Winnipeg , specializing in marketing communications and persuasion. He holds a Ph.D. in Marketing from the University of Central Florida and has taught courses such as Marketing Research (BUS-3271) and Multivariate Data Analysis (GBUS-7265). Education : Ph.D. (Marketing), University of Central Florida; M.M.R., Southern Illinois University-Edwardsville; B.B.A., Eastern Kentucky University Key Research Streams : Nonverbal communication in marketing, frontline employee-customer interactions, public policy communications, digital marketing, and nonprofit marketing Teaching Philosophy : Focuses on data literacy, industry engagement, and skills certification His research combines experimental design and secondary datasets to answer managerially relevant questions. Recent work explores topics like facial prominence in advertising , footstep sound effects , and emotional tone in disinformation . He has secured multiple grants, including SSHRC Insight Grant and University of Winnipeg Major Research Grants, to study disinformation, sustainability communication, and social media verification.

• Medical Imaging
• Radiology
• Eye Tracking
• +3 more

Yan Chen is a research-focused academic at the University of Cumbria specializing in medical imaging and human factors analysis. Their work examines cognitive load and fatigue in radiology and pathology through eye tracking methodologies, collaborating extensively with NHS breast screening centers and researchers like Peter Phillips on national trials including PROSPECTS. Affiliation is confirmed via the university's institutional repository and ORCID (0000-0003-3107-7898), though specific school or departmental details are not provided in source materials. Research interests prioritize objective fatigue measurement in medical image interpretation: Digital breast tomosynthesis (DBT) reader performance metrics Blink duration/frequency as fatigue indicators Experience-dependent visual search patterns in pathology Algorithm development for eye tracking data processing National screening program protocol optimization Cognitive load assessment during diagnostic tasks Article trends reveal a progression from methodological development (2016 dual-screen eye tracking) to clinical validation (2021-2024). Recent work demonstrates breaks reduce DBT reader fatigue without compromising diagnostic accuracy, while digital pathology studies link experience to efficient zooming behavior and higher diagnostic precision. All research leverages eye tracking to address workforce challenges in time-intensive imaging modalities. No scientific awards were documented in the provided materials. Student advisement and grant details are unreported, but participation in the UK PROSPECTS trial and NHS screening program studies indicates involvement in externally funded clinical research. Key collaborators include George Partridge, Peter Phillips, Mitchell Searjeant, and Ellhia Sudin across multi-site NHS hospital networks. Chen Yan contributes to a University of Cumbria research team developing automated eye tracking software for medical settings, including blink identification programs and visual search analysis tools. This group conducts real-world studies within NHS breast screening workflows to translate cognitive science insights into practical reading protocols.

• Lighting Research
• Visual Perception
• Urban Lighting Design
• +5 more

Professor Steve Fotios of the School of Architecture and Landscape at the University of Sheffield is a leading expert in lighting research and visual perception. He serves as Editor of Lighting Research and Technology and Associate Director of CIE Division 4. His work focuses on: Lighting effects on pedestrian/cyclist safety Visual task analysis through eye-tracking Development of lighting design guidance Experimental methodology in lighting studies Recent research explores ambient light impacts on crime, cyclist numbers, and pedestrian reassurance. Scientific awards include FHEA, FSLL, MILP, and MEI fellowships. Grants funded by EPSRC and European Training Network support his work on road lighting, visual performance, and lighting for urban environments. Key trends in his publications include: Transportation safety (2025-2023) Glare evaluation methods (2024-2022) Reassurance metrics in residential roads (2023-2021) Experimental bias correction (2023-2020) Light spectrum analysis (2023-2015) Visual task detection (2023-2018) Professional activities include: Editorial leadership in Lighting Research & Technology and Leukos Membership in BSI, IESNA, and CIE committees Founding LumeNet, an international PhD lighting workshop Development of lighting standards for pedestrians and drivers

Christine FawcettView profile

Researcher

• Developmental Psychology
• Social Cognition in Children
• Interpersonal Synchrony
• +3 more

Christine Fawcett is a researcher at Uppsala University's Department of Psychology, Division of Developmental Psychology, with a focus on early childhood social cognition since June 2011. Previously at the Max Planck Institute for Psycholinguistics (2008-2011), her work examines how children process social signals, interpersonal synchrony, and gender development using eye-tracking and physiological measures. She earned her Ph.D. in Developmental Psychology from UC Berkeley (2008) and B.A. in Psychology with Applied Statistics minor from Miami University (2001). Research Interests: Her work reveals how infants align behavior and physiology with others, including pupillary contagion and movement synchrony. Recent studies explore gender identity formation in preschoolers, non-verbal social relationship inference through saliva sharing, and cross-species physiological responses. Methodologically combines computational models with infant behavior analysis. Scientific Recognition: Recipient of major grants including the Swedish Foundation for Humanities and Social Sciences (€635k) and Swedish Research Council (€350k), with Marie Curie Fellowship support. Her publications in Science , Child Development , and Psychological Science demonstrate impact across developmental psychology and social neuroscience. Collaborative Network: Works with multidisciplinary teams including Gustaf Gredebäck, Bahar Tunçgenç, and Kahl Hellmer. Develops AI-based infant engagement analysis with Marc Fraile and Joakim Lindblad. Investigates Williams syndrome with Johan Lundin Kleberg and autism research with Ulf Liszkowski.

Olivier PascalisView profile

Research Professor

• Developmental Psychology
• Infant Cognition
• Face Processing
• +6 more

Olivier Pascalis is a Research Director (CNRS) at the Laboratoire de Psychologie et Neurocognition (LPNC) within Grenoble Alpes University, France, where he leads the Grenoble Babylab—a specialized research facility focused on infant cognition. His work centers on cognitive development during the first two years of life, particularly examining how infants learn and memorize from environmental stimuli with emphasis on face processing expertise. His academic background includes an undergraduate degree in Biology and a PhD in Neuroscience from Marseille, France. After conducting research in Sheffield, UK (where he held the position of Reader from 1998 until 2009), he returned to France to advance his research at LPNC in Grenoble. Pascalis has pioneered internationally recognized research on the ontogeny of face processing from birth to adulthood, demonstrating how asymmetrical visual experiences (e.g., greater exposure to own-race versus other-race faces) lead to expert-level processing for familiar faces but shallow processing for unfamiliar ones. His interdisciplinary approach spans typical development, atypical development, and comparative psychology, utilizing advanced Babylab equipment to study visual cognition in infants. The Grenoble Babylab, under his direction, conducts critical studies on perception, learning, and memory foundations in early development, contributing significantly to developmental psychology. As leader of the Babylab team, he oversees methodological innovations in infant research including eye-tracking, habituation paradigms, and behavioral observation. His work bridges neuroscience, psychology, and cognitive science with practical applications for understanding developmental trajectories and early cognitive interventions.

Romain GrandchampView profile

Researcher

• Neuroscience
• Cognitive Science
• Brain-Computer Interface
• +3 more

Romain Grandchamp is a Researcher at Université Grenoble Alpes , affiliated with the Laboratoire de Psychologie et Neurosciences Cognitives (LPNC) and the Consciousness, Memory and MetaCognition (CoMMet) team. His work bridges neuroscience , brain-computer interfaces (BCI) , and cognitive modeling to study mental states , mind wandering , and inner speech . PhD in EEG and BCI (2012, Université Paul Sabatier) Developed tools like NeuroTRIP and Brainarium for BCI training and immersive neuroeducation Focus on electromyographic correlates of rumination, ICA decomposition , and neurofeedback applications Prior research includes neuroplasticity in meditation practitioners and verbal rumination mechanisms. Collaborations span institutions in France, Australia, Netherlands, and Morocco.

Jenny RichmondView profile

Associate Professor

• infant memory development
• childhood cognitive development
• relational memory
• +7 more

Associate Professor Jenny Richmond is a faculty member at the University of New South Wales (UNSW) within the School of Psychology. She serves as the Director of Academic Programs in the School of Psychology, demonstrating her leadership role in shaping psychology education at the institution. Her academic home is clearly situated within the psychological sciences at one of Australia's leading research universities. Professor Richmond's research focuses on how changes in the brain drive changes in memory and emotion during infancy and childhood. She employs converging methods including behavioral measures, eye tracking, and electrophysiology to understand the development of functions that depend on the hippocampus. Her work spans developmental psychology, cognitive neuroscience, and educational psychology, with particular interest in infant memory development, relational memory, episodic memory, and the neural underpinnings of emotional development. She has also developed significant expertise in applying technological approaches to psychological research. Analysis of Professor Richmond's recent publications reveals a strong trajectory in developmental psychology with increasing interdisciplinary connections. Her work demonstrates consistent focus on infant and childhood cognitive development while expanding into educational applications and mental health implications. Recent publications show growing interest in technology integration (including AI applications in education), open science practices in psychology, and translational research connecting basic developmental findings to clinical applications in preventative psychiatry and early intervention. Professor Richmond has demonstrated commitment to academic leadership through her role as Director of Academic Programs. While specific grant information isn't detailed in the provided text, her extensive publication record across multiple high-impact journals suggests successful research funding. Her collaborative approach is evident through numerous multi-author publications involving interdisciplinary teams across psychology, neuroscience, and clinical fields. As Director of Academic Programs in the School of Psychology, Professor Richmond leads curriculum development and academic initiatives within the department. Her recent work on using generative AI to promote psychological literacy indicates innovation in educational approaches and commitment to preparing psychology graduates for contemporary professional environments that increasingly incorporate technological solutions.