Find Academic Supervisors

• Color Vision
• Visual Psychophysics
• Vision Assessment
• +3 more

Jing Yi is an active biostatistician and vision science researcher, holding a Ph.D. in Statistics from the University of California, Berkeley (2006), where her dissertation on fluorescent DNA quantification was supervised by Terence Speed. Her current work bridges statistical methodology with ophthalmological applications. Her educational background includes: Ph.D. in Statistics, University of California, Berkeley, 2006 Research focuses on color vision mechanisms, adaptive testing paradigms, and machine learning-driven diagnostic tools. She pioneers tablet-based vision assessment methods like AIM (Angular Indication Measurement) and FInD (Foraging Interactive D-prime), emphasizing self-administered, accessible clinical evaluations. Her work addresses fundamental perceptual phenomena (e.g., neon color spreading, chromatic-luminance interactions) while developing practical solutions for color vision deficiency screening and visual acuity measurement. Analysis of her 15 most recent publications (2022–2025) reveals strong interdisciplinary integration of psychophysics, optics, and AI. Key trends include adaptive algorithms for rapid color vision classification, quantification of refractive errors via novel acuity methods, and validation of digital diagnostic tools against traditional clinical standards. Her research consistently targets real-world applicability in optometry and ophthalmology. No scientific awards are documented in the provided materials. While student advising, grant funding, and laboratory affiliations remain unspecified in available sources, her prolific publication record indicates active collaboration with vision science and medical technology teams. Future work appears directed toward refining machine learning classifiers for color vision phenotyping and expanding tablet-based diagnostic accessibility.

Miguel Ángel Martínez DomingoView profile

Associate Professor

• Color Imaging
• Spectral Imaging
• Computer Vision
• +8 more

Miguel Ángel Martínez Domingo is an Associate Professor at the University of Granada , affiliated with the Department of Optics and the Color Imaging Lab . His work bridges color science , hyperspectral imaging , and computer vision , with applications in cultural heritage , food authentication , and visual perception . Education : B.Sc. in Telecommunications Engineering (Image and Sound) from University of Málaga (2007); Erasmus Mundus International Master's in "Color in Informatics and Media Technology" (2010-2012), ranked 1st in Spain. Ph.D. : Physics and Space Sciences (University of Granada, 2017; Summa Cum Laude). His research focuses on multispectral and HDR imaging for urban scene segmentation, cultural heritage restoration , and food quality analysis . He has pioneered algorithms for exposure time estimation and dehazing , while exploring color vision deficiency compensation and nocturnal camouflage . Recent work includes: Classifying inks in historical documents via hyperspectral imaging and machine learning. Developing sustainable methodologies for food authentication (wholemeal bread). Studying pigment unmixing in medieval plasterwork and limewash removal. Analyzing camouflage under moonlight for ecological adaptation. Awards include the Best Poster Award at the VISUM summer school (2016). He has served as a guest editor for journals like Sensors and Computation , and contributed to educational projects such as a didactic optics book for high schools. Collaborations span institutions in Portugal , Japan , and Europe through H2020 RISE projects.

Marisa Rodriguez-CarmonaView profile

Lecturer

• Color Vision
• Visual Science
• Medical Optics
• +3 more

Dr. Marisa Rodriguez-Carmona is a Lecturer in Optics at the School of Health Sciences, City St George's, University of London. She holds a PhD in Vision Science (2006) and an MSci in Physics (2001) from Imperial College London. Her research focuses on color vision, chromatic sensitivity, and its applications in occupational health and clinical settings, particularly for diabetes-related vision changes. PhD: Vision Science, City St George's, University of London (2006) MSci: Physics, Imperial College London (2001) Her work explores the variability in color vision among normal and color-deficient individuals, with applications in aviation, transportation, and diabetic retinopathy. Recent studies include the development of the Color Vision Screener (CVS) test and its validation across calibrated displays, showing 100% sensitivity for color deficiency detection. She investigates how macular pigment density affects color discrimination and collaborates on international multicenter studies. Key awards include the City University Fellowship (2006) and a Colt Foundation Fellowship (2025). She serves as a board member of the Colour Group of Great Britain and contributes to postgraduate teaching at Universidad Complutense de Madrid. Her professional activities involve developing standardized color vision assessments and advising on occupational safety protocols.

Hannah BartlettView profile

Professor

• Ocular Nutrition
• Low Vision
• Macular Pigment
• +3 more

Hannah Bartlett is a Professor at the Optometry & Vision Science Research Group (OVSRG) within Aston University's College of Health and Life Sciences. She also serves as Associate Pro-Vice Chancellor for Diversity & Inclusion since 2019, overseeing gender equality initiatives (Athena Swan) and Aston's Race Equality Charter submission. She co-founded 'Inspiring Women at Aston' and leads working groups addressing pay gaps, inclusive recruitment, disability support, and curriculum decolonization. Her qualifications include a First Class Honours degree in Optometry (2000, Aston University), a PhD in Ocular Nutrition (2005), a Master's in Education (2017), and an ILM Level 5 Certificate in Coaching & Mentoring (2018). She holds a Principal Fellowship of Advance HE (2019). Research interests span ocular nutrition, low vision technology, macular pigment, and clinical education. Key projects include developing hand-held low-vision tools, evaluating ophthalmic instrumentation, and investigating nutritional behavior's impact on eye health. Collaborations span engineering, computer science, and health psychology. Her 70+ publications focus on topics like macular degeneration, dietary interventions, and diversity strategies. Notable contributions include a 2025 analysis of gender stereotypes in Nigerian universities and a 2023 study on color contrast sensitivity in AMD patients. Awards include the Principal Fellowship of Advance HE. Teaching roles include BSc Optometry Programme leadership and administrative roles like Admissions Tutor. Consultancy work advises universities globally on equality data and inclusion frameworks. She designed Aston’s 'Inclusive Aston' diversity strategy. Labs/Teams: Active in OVSRG and the Aston Research Centre for Health in Ageing. Leads interdisciplinary projects integrating technology, nutrition, and equity initiatives.

David FlatlaView profile

Associate Professor

• Human-Computer Interaction (HCI)
• Accessibility
• Sensory Impairments
• +3 more

David Flatla is an Associate Professor in the School of Computer Science at the University of Guelph, specializing in Human-Computer Interaction (HCI) with a focus on accessibility. His research addresses sensory impairments, particularly visual and hearing-related challenges, aiming to enhance user experiences for both individuals with disabilities and those in situational impairments. He leads projects on mobile accessibility, color vision deficiency (CVD) tools, and inclusive design principles. Key research interests include: Augmenting human perception through technology Designing tools for situational and permanent impairments Evaluating assistive technologies for CVD and DHH communities Mobile interaction challenges in adverse environments His work emphasizes practical solutions, such as gamified data capture for situational impairments and frameworks for accessible color palette design. Flatla frequently publishes in top HCI venues like ASSETS and CHI, contributing to both theoretical advancements and real-world applications. He maintains an active research profile with collaborations across academia and industry, focusing on translating academic insights into usable tools. His lab develops prototypes like MirrorMirror for speechreading and ACE for accessible color design.

David FosterView profile

Professor

• Color Vision
• Hyperspectral Imaging
• Natural Scene Statistics
• +3 more

David Foster is Professor of Vision Systems in the Department of Electrical and Electronic Engineering at the University of Manchester. A physicist by training, he holds fellowships from IOP, IMA, OSA, and the Physiological Society. His research develops optimality-based models of visual perception using hyperspectral imaging and psychophysical methods. Research Focus: Information-theoretic approaches to color vision Hyperspectral analysis of natural scenes Visual ecology and color constancy mechanisms Honors & Editorial Roles: Recipient of Verriest Medal (2017) and Newton Medal (2018) Former Editor-in-Chief of Vision Research Author of 'A Concise Guide to Communication in Science & Engineering' (OUP)

Paul SowdenView profile

Professor

• Creativity
• Perceptual Learning
• Cognitive Neuroscience
• +2 more

Professor Paul Sowden is Research and REF Lead in the Department of Psychology at the University of Winchester and Visiting Professor at the University of Surrey. His research examines cognitive mechanisms of creative thinking, perceptual learning, and educational applications of creativity research. Research focuses on enhancing creative thinking through education, cognitive training interventions, and understanding environmental influences on creativity. Current projects include the Arts Council England-funded Creativity Collaborative initiative and OECD collaboration on fostering creative/critical thinking. He leads the Creativity and Cognition Research Group and mentors numerous PhD students investigating creativity across domains including foreign language learning, remote work teams, digital environments, attention/perception relationships, historical education, and depression/anxiety cognition.

Liang WangView profile

Research Fellow

• Analytical Spectrometry
• Applied Computing
• Contaminated Land Assessment
• +1 more

Dr. Liang Wang is a Senior Research Fellow at the University of Newcastle's School of Environmental and Life Sciences. His work focuses on developing cutting-edge environmental assessment technologies for hydrocarbon contaminants, combining analytical sciences, chemometric methods, and computational modeling. Developed irCARE™ and probeCARE™ software for FTIR and ISE array analysis Led multiple CRC-funded projects totaling over $5.6M Expert in portable GC-MS and FTIR field applications Research Interests: Specializes in environmental analytical methods, with particular emphasis on: Rapid in-field contaminant assessment Artificial Intelligence for spectral data Mathematical modeling of environmental interactions Development of trademarked analytical products Publication Trends: Recent work demonstrates expertise in: FTIR-based contaminant analysis Portable sensor network integration Machine learning for environmental prediction Soil health assessment technologies Heavy metal and hydrocarbon remediation Smartphone-enabled field diagnostics Scientific Recognition: Recipient of two prestigious industry awards for analytical science innovation from PerkinElmer and Agilent Technologies. Holds multiple international patents including WO2021/035273 and US10761052B2.

NURIA ALONSO SANTANDERView profile

Associate Professor

• Ophthalmology
• Medical Data Analysis
• Human Anatomy and Embryology
• +3 more

Nuria Alonso Santander is an Associate Professor at the University of Burgos, affiliated with the Faculty of Health Sciences and the Department of Health Sciences. Her academic focus centers on Human Anatomy and Embryology, and she actively contributes to the DATAHES research group (Data Analysis Techniques Applied in Health Environments Sciences). She earned her PhD from Universidad Nacional de Educación a Distancia (UNED) in 2011, with a thesis titled "Sistema de ayuda a la decisión para cirugía de cataratas" (Decision Support System for Cataract Surgery), supervised by Dr. Francisco Javier Díez Vegas. Research Interests: Dr. Alonso Santander's work spans ophthalmology, medical data analytics, and vision science. Key areas include refractive surgery safety in special populations (pregnancy, lactation), artificial intelligence applications for diabetic retinopathy screening in underserved regions, thyroid eye disease therapeutics, and quality-of-life studies in chronic ocular conditions. Her research integrates clinical practice with computational approaches to improve diagnostic accuracy and patient outcomes. Publication Trends: Her recent articles (2019–2023) demonstrate a strong emphasis on translational ophthalmology, with recurring themes in surgical outcomes, AI-driven diagnostics, and systemic disease correlations. Notable trends include investigations into hormonal impacts on refractive surgery, machine learning for early disease detection in resource-limited settings, and multidisciplinary studies bridging ophthalmology with neurology, endocrinology, and public health. Research Group: As a member of DATAHES, she collaborates on projects applying data science techniques to clinical health scenarios, emphasizing predictive modeling and evidence-based healthcare solutions.

Goran FrukView profile

Associate Professor

• Postharvest Physiology
• Fruit Storage Technology
• Chilling Injury Mechanisms
• +5 more

Assoc. Prof. Goran Fruk serves as an Associate Professor at the University of Zagreb School of Agriculture , leading the Department of Pomology. With a PhD in Agricultural Science (2014), he specializes in postharvest physiology and sustainable fruit production. Education: PhD (2014), dipl. ing. agr. (2008) Key Roles: Coordinator of EU-funded projects, bilateral research collaborations His research focuses on postharvest treatments to prevent chilling injuries, optimize fruit quality, and implement edible coatings . Recent work explores digital technologies like RGB imaging and biosensors for nutrient deficiency detection and quality assessment. Project leadership includes LIFE+ SU.SA.FRUIT for sustainable production and multiple EU programs. He has developed curricula for fruit physiology and storage technologies . Publications emphasize traditional apple cultivars , patulin contamination , and climate change impacts on fruit quality.

• Psychology
• Cognitive Sciences
• Ophthalmology
• +4 more

Dr. John Maule is an Assistant Professor in Psychology at the University of Sussex's School of Psychology, focusing on visual perception, color cognition, and developmental psychology. His research explores how environmental exposure, cultural context, and developmental stages influence color perception and aesthetic preferences. He leads studies on chromatic adaptation, natural scene statistics, and the interplay between visual systems and cognitive processes. Research Interests: Color perception and categorization across developmental stages Impact of visual environments ("visual diets") on sensory processing Neural mechanisms underlying color constancy and adaptation Aesthetic judgments and their relationship with natural scene statistics Color vision deficiencies and diagnostic methodologies Grants: "Floodlights v Natural Light For Red Ball Cricket" (2025-2026), Anglia Ruskin University Higher Education Corporation Teaching & Supervision: Offers regular student drop-in sessions via Zoom (9:30-10:30 AM on Wednesdays/Thursdays). Labs/Teams: Active in vision science research teams within the School of Psychology, contributing to interdisciplinary studies on perception and cognition.

• Visual Science
• Optics
• Color Vision
• +5 more

John Barbur is Professor of Optics & Visual Science and Director of the Applied Vision Research Centre at City, University of London. Trained at Imperial College where he completed his BSc, ARCS, MSc, DIC, and PhD in Physics, Applied Optics and Vision Science. He has been actively involved with professional organizations including the Applied Vision Association, the Colour Group of Great Britain, and the International Colour Vision Society. As a Fulbright Scholar, he spent time at the Center for Visual Science at the University of Rochester, NY, working on color vision and visual performance in the mesopic range. Professor Barbur's research covers both fundamental studies of visual mechanisms and applied/clinical research. He has developed innovative research instrumentation and measurement techniques for analysis of pupil response components, spatial vision, chromatic sensitivity, and scattered light in the eye. His methodologies combine visual psychophysics with measurements of involuntary responses such as eye movements and pupil signals. Specific research areas include Mesopic photometry, Colour vision mechanisms/Colour constancy, Blindsight/Pupillometry/Light flux sensing/Aging and vision, Colour-defined motion/Rapid flicker, and Disability and discomfort glare. His recent publications (2021-2025) focus on color vision assessment methods, age-related changes in visual function, diabetes-related vision changes, and blue cone monochromacy. His work bridges fundamental vision science with clinical applications, particularly in occupational settings requiring precise color vision. There's a strong emphasis on developing clinical tools for early detection of vision problems across various patient populations. Fulbright Scholar Walsh-Weston Award from Society for Lighting Research & Technology (2008) Professor Barbur has trained numerous students with clinical and basic science backgrounds over 30 years who found employment in industry, hospitals, and universities. His significant research funding includes projects with the Sasakawa Foundation (2008-2010), Emerald Fund (2009-2010), EPSRC (multiple projects 2010-2015), Colt Foundation (2011-2014), UK Civil Aviation Authority (2011-2014), and Qinetiq Ltd (2011-2014). His principal collaborators include researchers from City University London, UCL, Sheffield, National Hospital, and Moorfields Eye Hospital. He directs the Applied Vision Research Centre (formed in 1986) at City, University of London, with research teams focusing on visual psychophysics, non-invasive measurement of involuntary signals, fMRI imaging, and mathematical modeling of visual mechanisms. The center has a strong translational focus, recently concentrating more on the application of fundamental research findings into industrial and clinical settings.

Lucy SomersView profile

Research Fellow

• Vision Science
• Color Perception
• Human Visual System
• +3 more

Dr. Lucy Somers is a Visiting Research Fellow at the University of Sussex's School of Psychology, combining roles as a practicing artist and scientific researcher. Her work focuses on color vision, exploring how human visual systems process color through interdisciplinary approaches. She collaborates with the Sussex Colour Group and the Baby Lab , investigating how life experiences influence color perception. Her research uses advanced visual stimuli to study sensory processing, informed by her artistic ethos of 'sensory excess.' Research Interests : Lucy's scientific work examines color manipulation in human vision, leveraging artistic techniques to create controlled experiments with visually complex stimuli. She explores intersections between art and science, such as collaborations with artist Yoshua Okon to design color vision tests that create cultural dialogues based on audience visual differences. Her research bridges psychology, neuroscience, and art, emphasizing the interplay between perception and lived experience. Consulting & Artistic Work : Lucy's painting practice focuses on series-based explorations of objects (e.g., chairs, poinsettias) and abstract geometric fields. Her art critiques spatial perception and materiality, with pieces like Midnight Traffic and Hold It sold commercially. She merges artistic and scientific methods, using color as a unifying discipline. Labs & Collaborations : Affiliated with the Sussex Colour Group , she studies infant and adult color perception. Her work with the Baby Lab explores developmental aspects of visual processing. Ongoing projects include color vision deficiency-based art collaborations. Grants & Awards : No specific grants or awards explicitly detailed in provided texts.

• Human Factors Engineering
• Ergonomics
• Vision Science
• +4 more

Dr. Alex Chaparro is a Professor of Human Factors and Behavioral Neurobiology at Embry-Riddle Aeronautical University, directing the Aging, Perception, and Performance Lab. His research focuses on visual requirements of driving, effects of visual impairment on driving performance, and speech perception in cognitive contexts. He holds a BS from Florida Institute of Technology and a PhD from Texas Tech University, with postdoctoral training at Harvard University. Education: BS in Psychology (Florida Institute of Technology), Postdoctoral Studies (Harvard University), PhD in Psychology (Texas Tech University). Research interests include human factors in aviation safety, driver distraction, and inclusive design for aging populations. He has authored over 186 publications and secured grants such as the Carl/Rozina Cassat Professorship (2015) and Coleman Entrepreneurship Fellow (2011). His work addresses checklist efficacy in healthcare, usability of advanced driver-assistance systems, and ergonomic adaptations for older adults. Recent articles explore helicopter EMS accident factors and automotive HUD design for color-vision-impaired users. Awards: WSU Excellence in Research (2009), Ford Foundation Fellowship (1991) Labs: Aging, Perception, and Performance Lab

Jason NgView profile

Professor

• Color Vision
• Visual Perception
• Clinical Optometry
• +1 more

Jason S. Ng is Professor at the Southern California College of Optometry, Marshall B. Ketchum University. He holds OD and PhD degrees, with expertise spanning clinical optometry and vision science research. His research focuses on visual function assessment methodologies with clinical applications. Research interests center on color vision assessment, visual perception mechanisms, and diagnostic technologies for retinal diseases. His work bridges clinical practice and fundamental vision science, with emphasis on improving diagnostic accuracy and developing standardized testing protocols. Recent publications demonstrate methodological innovations in color vision testing, visual acuity measurement, and electrophysiological assessment of retinal function. His studies establish clinical thresholds and validate new diagnostic instruments for ophthalmic practice. Awards & Honors: Chase Faculty Teaching Excellence Award Hemenger Faculty Research Award Fellow of American Academy of Optometry