جست‌وجوی استاد و پژوهشگر

• Vision Neuroscience
• Ophthalmology
• Retinal Neuroanatomy
• +۵ مورد دیگر

Professor Paul Martin of the University of Sydney serves at the Faculty of Medicine and Health , specifically within the Clinical Ophthalmology and Eye Health department. As a leading figure in Visual Neuroscience , his research at the Save Sight Institute investigates retinal structure/function and pathways for color, form, and motion processing. His work bridges evolutionary neurobiology and clinical applications, focusing on koniocellular ( blue-yellow ) and parvocellular ( red-green ) pathways. PhD in Physiology (University of Sydney, 1986) Director of Research at National Vision Research Institute of Australia (2003-2009) Professorial Research Fellow at University of Melbourne (2003-2009) His research interests include: Retinal neuroanatomy and synaptic connectivity Color vision pathways in primates Neural processing of visual threats Neurodegenerative eye diseases He employs techniques like immunohistochemistry , single-cell recording , and connectomic mapping . Key collaborations span: University of Pécs Medical School (Hungary) University of Washington (US) Vanderbilt University (US) Scientific contributions include over 100 publications and 20+ NHMRC/ARC grants (2000-2025), such as "Structural and functional evidence for glymphatics in human posterior eye" (2019) and "Propagating Neural Waves" (2015). His 2001 Nature paper on peripheral retinal chromatic sensitivity revolutionized understanding of primate vision.

• Cognitive Science
• Visual Search
• Attention
• +۵ مورد دیگر

Jason Helbing is affiliated with the Department of Experimental Psychology at Goethe University Frankfurt. His research focuses on visual search mechanisms, attentional allocation, and memory formation in naturalistic and inverted virtual environments. His methodological work includes gaze-contingent paradigms and flashlight window experiments to investigate visual cognition. Key collaborators include Dejan Draschkow, Melissa Le-Hoa Võ, and Julia Beitner. University: Goethe University Frankfurt Department: Department of Experimental Psychology Academic Status: Researcher Research Interests revolve around understanding how spatial priors, peripheral vision, and attentional strategies influence cognitive processing in immersive technologies. His publications examine: Attentional allocation in 3D environments Memory consolidation through goal-directed behavior Visual scanning patterns in inverted scenes Comparative analysis of VR vs screen-based testing Gaze-contingent window paradigms Cognitive implications of transient vision loss Publications from 2020-2024 demonstrate consistent contributions to visual cognition research using virtual reality platforms. Articles appear in journals like Cognition, Psychological Science, and Scientific Reports with recurring themes of scene perception and attentional efficiency. Collaborative Network spans European institutions including Goethe University Frankfurt, University of Oxford, and University of Lyon. Current research involves developing saliency models and spatial prior activation techniques.

Vasha DuTellمشاهده پروفایل

مدرس

• Computer Vision
• Deep Learning
• Natural Scene Statistics
• +۳ مورد دیگر

Dr. Vasha DuTell is a Postdoctoral Research Associate at the Laboratory for Atmospheric Experiments (LAE) and Lecturing Faculty at UC Berkeley's School of Information. She holds a PhD in Vision Science from UC Berkeley, where she collaborated with Drs. Bruno Olshausen and Martin Banks on natural scene statistics and human vision modeling. Her postdoctoral work at MIT CSAIL focused on spatiotemporal and peripheral vision modeling under Drs. Ruth Rosenholtz and Bill Freeman. Her research combines computer vision and deep learning to address environmental challenges like contrail detection from satellite and ground-based imagery. She develops segmentation models for contrail tracking and studies their environmental impacts. Vasha also teaches computer vision at UC Berkeley, bridging academic instruction with cutting-edge research. Her recent publications span topics such as peripheral vision modeling, perceptual straightness in machine learning models, and high-fidelity tracking systems. These studies emphasize interdisciplinary approaches, merging computational methods with biological insights to advance vision science and environmental monitoring. Dr. DuTell’s work has contributed to foundational datasets like Coco-periph and frameworks like GramStatTexNet, which explore human-machine perception gaps and texture model statistics. Her efforts aim to enhance both theoretical understanding and practical applications in vision systems and climate research.

Anke Cajarمشاهده پروفایل

پژوهشگر

• Eye movement control
• Attention in scene perception
• Microsaccades
• +۱ مورد دیگر

Anke Cajar is a Researcher in the Department of Experimental and Biological Psychology at the Faculty of Human Sciences, University of Potsdam. Her work primarily focuses on eye movement control, attention in scene perception, microsaccades, and computational modeling. She serves as a departmental advisor for the discontinued Psychology Master's program with a focus on Advanced Cognition and Action across the Lifespan. Her educational background includes: Dr. phil. in Psychology (2017, University of Potsdam) Dipl.-Psych. in Psychology (2012, University of Potsdam) Dr. Cajar's research delves deeply into how humans process visual information in natural scenes. Her work examines the intricate relationship between eye movements, attention mechanisms, and visual perception. She investigates how microsaccades - tiny involuntary eye movements - influence our ability to perceive and remember visual scenes. Her computational modeling approaches provide valuable insights into the cognitive processes underlying visual attention and scene perception. Her research has important implications for understanding human vision in real-world contexts and has applications in fields such as human-computer interaction and educational technology. Analysis of Dr. Cajar's publication record from 2013-2024 reveals a consistent focus on eye movement research within cognitive psychology and vision science. Her work spans multiple sub-disciplines including scene perception, spatial frequency processing, color vision, and visual search. She has developed significant resources for the research community, including specialized eye-movement corpora. Her recent work has expanded into examining social aspects of visual behavior and learning outcomes, demonstrating the evolving nature of her research interests while maintaining a strong foundation in visual cognition. Dr. Cajar has made substantial contributions to understanding how humans process visual information in natural environments through her extensive research on eye movements and attention. Her work bridges cognitive psychology, neuroscience, and computational modeling to provide comprehensive insights into visual perception mechanisms. She provides academic guidance as departmental advisor for the Psychology Master's program (now discontinued) with a focus on Advanced Cognition and Action across the Lifespan. Her mentorship supports students in developing expertise in cognitive processes throughout human development. Dr. Cajar conducts her research within the Experimental and Biological Psychology department at the University of Potsdam's Campus Golm. Her work involves collaboration with colleagues including Ralf Engbert and Jochen Laubrock, contributing to the department's strong research profile in visual cognition and eye movement research.

David Tsaiمشاهده پروفایل

مدرس ارشد

• Biomedical Engineering
• Microelectronics
• Neural Interfaces
• +۴ مورد دیگر

Dr. David Tsai is a Senior Lecturer at the University of New South Wales (UNSW), jointly appointed between Biomedical Engineering and Electrical Engineering. He leads the Biomedical Microsystems Lab , focusing on miniature microelectronic devices for brain-machine interfaces and subcutaneous biosensing. His research has been continuously funded by the NHMRC since 2013, including an ongoing Ideas grant for soft brain-machine interfaces. He has secured >$3.8M in total funding, with support from the Kavli Foundation and ARC Linkage Infrastructure Grants . His work has appeared in Nature Communications , Nature Nanotechnology , and IEEE Transactions on Biomedical Circuits and Systems . Scientific Recognition: IEEE EMBC Student Paper Award (twice) IEEE EMBC Best Papers Award NHMRC CJ Martin Fellowship (2013-2017) Kavli Foundation Postdoctoral Fellowship (2012-2013) Education: PhD in Biomedical Engineering (2012), UNSW MBiomedE (2007), UNSW BE (Software, First Class Honours) (2007), UNSW Research Themes: Development of ultra-dense microelectrode arrays for cellular-resolution electrophysiology, computational modeling of retinal responses to electrical stimulation, and standardization of neurotechnology data formats. His lab collaborates with industry partners like LeafLabs LLC , BlackRock Microsystems , and Contactile .

Benjamin Wolfeمشاهده پروفایل

استادیار

• Visual Perception
• Cognitive Neuroscience
• Human Factors
• +۵ مورد دیگر

Dr. Benjamin Wolfe is an Assistant Professor at the University of Toronto Mississauga in the Department of Psychological & Brain Sciences. He co-directs the APPLY Lab (Applied Perception and Psychophysics Laboratory), focusing on use-inspired research at the intersection of vision science and real-world problems. His work bridges visual psychophysics and human factors, particularly examining driver behavior and digital readability. He is affiliated with the PsychEng program, Data Sciences Institute, Mobility Network at University of Toronto, and the Centre for Vision Research at York University. Education: B.A., Boston University Ph.D., University of California, Berkeley (2015) Dr. Wolfe's research explores visual perception, attention, and eye movements in dynamic environments like driving. His lab investigates how drivers acquire visual information, the impact of distractions on hazard detection, and the role of typography in digital readability. Key projects include understanding the low-prevalence effect in road safety and optimizing eye-tracking paradigms for real-world applications. Recent publications highlight trends in driver behavior, typography effects on reading efficiency, and peripheral vision's role in multitasking. His work is supported by NSERC, the Connaught Fund, Adobe, SSHRC, and Transport Canada. Scientific Awards: NSERC Discovery Grant Connaught Fund New Researcher Grant Adobe Awards SSHRC Insight Grant Transport Canada ERSTPP funding Dr. Wolfe supervises graduate students including Zainab Haseeb (studying font impacts on readability) and Silvia Guidi (variable font research). His lab collaborates with Mechanical and Industrial Engineering at University of Toronto and the Human Factors and Applied Statistics Lab.

• Ophthalmology
• Neurosciences
• Biomedical Data Science
• +۴ مورد دیگر

Francisco González García is a Professor in the Department of Surgery and Medical-Surgical Specialties at the University of Santiago de Compostela's Faculty of Medicine and Dentistry. He holds affiliations with the Center for Research in Molecular Medicine and Chronic Diseases (CIMUS) and the Vision Research Group in Ophthalmology and Visual Sciences. His academic career includes doctoral degrees from both the University of Santiago de Compostela (1982) and the University of La Laguna (2001), focusing on visuomotor neuroscience and otolaryngology. Research interests span ophthalmology, neurosciences, and biomedical data science with recent emphasis on retinal physiology, intraocular devices, and stem cell therapies. His work bridges clinical practice and engineering through innovations in tonometry techniques and smart lens development. Notable contributions include studies on prostaglandin-associated periorbitopathy and neuroprotective roles of erythropoietin in retinopathy. Publications (2021–2025) reflect multidisciplinary activity, combining clinical case reports with methodological advancements in neuronal activity modeling and orbital imaging. Collaborative projects like the Green Link initiative demonstrate environmental engineering applications of medical expertise in desertification reversal using fog capture technologies. He has advised numerous studies on ocular pharmacokinetics and thyroid eye disease management, though specific student names aren't listed. His lab work integrates computational tools like P-spline algorithms with traditional microscopy techniques.

Zihan Wuمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Computing Education Research
• Educational Technology
• +۳ مورد دیگر

Zihan Wu is an Assistant Professor at the University of Maine's School of Computing and Information Science (SCIS), where he leads the Puffin Lab (Participation, Understanding, Feedback, and Interaction for Novices). His academic journey includes a Ph.D. from the University of Michigan School of Information under Dr. Barbara Ericson and a Bachelor's in Computer Science from Tsinghua University. Education: Ph.D., University of Michigan, School of Information Bachelor's in Computer Science and Technology, Tsinghua University Dr. Wu's research bridges Human-Computer Interaction (HCI) and Computing Education Research (CER) , focusing on creating scalable educational tools through human-centered design and learning theory integration. His work employs mixed-methods evaluation including large-scale classroom studies and lab experiments, with emphasis on AI-supported programming tools, accessibility solutions, and novice learning experiences. His 2020-2025 publications reveal a strong trajectory in programming education tools (particularly Parsons Problems variants), AI-human co-creation systems, and accessibility technologies. Key venues include CHI, ICER, and AIED, demonstrating cross-disciplinary impact in both HCI and computing education communities. Scientific Recognition: Best Paper Nomination at CHI 2024 Best Paper Nomination at L@S 2024 Honorable Mention at CHI 2020 Dr. Wu actively mentors through the Puffin Lab, recruiting PhD students for Fall 2026 and research assistants for educational technology projects. His teaching portfolio includes Human-Centered Design courses at University of Maine and prior instruction in Web Development, Data Manipulation, and Data Mining at University of Michigan. The Puffin Lab drives innovation in novice computing education through tools that enhance participation, understanding, and feedback mechanisms, with current projects exploring LLM-powered personalized learning and context-aware creative systems.

• Cognitive Psychology
• Sensory Perception
• Visual Perception
• +۵ مورد دیگر

Dr. Michelle To is a Senior Lecturer in the Department of Psychology at Lancaster University's Fylde College. With a strong background in experimental psychology, her academic journey includes a PhD and MPhil from the University of Cambridge, along with dual BSc degrees in Psychology (First Class Honours) and Physiology and Mathematics from McGill University. Dr. To's research focuses on how the sensory system processes complex natural stimuli including photographs, movies, music, and language. Her primary interests encompass natural stimuli perception, feature integration, cross-modal integration, and visual perception in the far and extreme periphery. Her recent work has extensively examined infant visual perception, particularly how infants process visual information at the edges of their visual fields and how they integrate sensory information during early development. Analysis of Dr. To's 15 most recent publications reveals a clear trajectory from fundamental visual perception research toward developmental applications, particularly in infant vision. Her early work established computational models of visual processing, while her more recent publications apply these principles to understand developmental visual capabilities. The research demonstrates consistent methodological rigor, often combining computational modeling with empirical testing using natural stimuli. Dr. To actively contributes to academic training through courses including PSYC214: Statistics, PSYC377: Psychology of Art, and PSYC401: Analysing and Interpreting Psychological Data I, demonstrating her commitment to statistical and methodological education in psychology. Her current research projects include the BabyMotion project (2025-2027) investigating how infants develop the ability to perceive human motion, a project on modeling stress effects on visual perception (2018), and previous involvement in the RCUK-SUP initiative (2013-2016) focused on inspiring the next generation of researchers. Dr. To supervises postgraduate research students and employs advanced methodologies including eye-tracking and functional near-infrared spectroscopy (fNIRS) to investigate the neural basis of visual perception and its development.

Sarah Morrison-Smithمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Collaborative Work
• Accessibility in Technology
• +۶ مورد دیگر

Sarah Morrison-Smith is an Assistant Professor of Computer Science at Hamilton College. Her research explores the intersection of psychology and computer science to enhance collaborative work environments and advance accessible technological design. She teaches courses in human-computer interaction and programming languages. Ph.D., University of Florida (Human-Centered Computing) M.S., Colorado State University (Computer Science) B.S., Montana State University (Computer Science) Morrison-Smith's research focuses on human-computer interaction , collaborative tools , and accessibility . She investigates natural user interfaces for mobile devices and wearables, develops ambient displays for team awareness, and studies bioinformatics software challenges. Her recent publications analyze data-sharing transparency , gesture interaction , and collaborative workflows across 15 studies from 2015-2025. Key themes include multimodal authentication, qualitative data analysis tools, and accessibility in scientific research. NSF CRII: RUI: Transparency and Access Control in Life Science Data Sharing (2022) Google Explore CS Research (exploreCSR) Morrison-Smith employs interdisciplinary methodologies combining user studies , dataset creation , and interface prototyping . Her work spans bioinformatics, plant phenotyping, and multimodal authentication systems.

• Vision Science
• Ophthalmology
• Psychophysics
• +۴ مورد دیگر

Dr. Kenneth Fuld serves as Dean of the College of Liberal Arts at the University of New Hampshire, holding a faculty position within this academic unit. His administrative leadership complements an extensive research career spanning over four decades in vision science and ophthalmology, with publications appearing in premier journals including Investigative Ophthalmology and Visual Science and Vision Research . His educational foundation includes: B.A. from Northeastern University Ph.D. in Psychology from Dartmouth College Dr. Fuld's research program centers on the physiological and perceptual mechanisms of human vision, with particular emphasis on macular pigment function and photophobia phenomena. His work has systematically investigated the spatial distribution of macular pigment optical density, its relationship to dietary carotenoids, and protective effects against light-induced visual discomfort. The longitudinal nature of his publications reveals an evolving research trajectory from foundational color perception studies in the 1970s-1980s toward specialized investigations of retinal photoprotection mechanisms in later decades. His 2019 marine debris visual identification study represents a notable interdisciplinary extension of his visual assessment expertise into environmental science applications. Analysis of his publication trends indicates consistent focus on three interconnected domains: (1) macular pigment biochemistry and topography, (2) photophobia mechanisms and spatial characteristics, and (3) color perception fundamentals. This research has generated important insights into retinal protection strategies, visual discomfort thresholds, and the physiological basis of color vision. While no specific scientific awards are documented in the available materials, his sustained publication record in high-impact vision science journals demonstrates significant scholarly contribution to the field. His 2014 chapter on psychology faculty preparation suggests active engagement in academic development initiatives beyond his research program. As Dean of the College of Liberal Arts, Dr. Fuld oversees academic programming and faculty development across multiple disciplines. His administrative leadership appears integrated with his scholarly identity, as evidenced by publications addressing both vision science and academic training. No information is available regarding current grant funding or laboratory facilities under his direct supervision.

Charlotte Welinderمشاهده پروفایل

پژوهشگر

• Cancer Research
• Proteomics
• Melanoma
• +۳ مورد دیگر

Charlotte Welinder is a Principal Investigator and Mass Spectrometry Researcher affiliated with Lund University Cancer Centre (LUCC) at Lund University. She serves as a BioMS Principal Investigator and conducts research primarily in cancer proteomics and biomarker discovery. Her research expertise spans across several domains of cancer biology and proteomics, with a particular focus on melanoma. Her work contributes to the UN Sustainable Development Goals related to health and well-being. Dr. Welinder's research interests include: Cancer Proteomics and Biomarker Discovery Melanoma Biology and Therapeutics Mass Spectrometry Method Development Protein Biochemistry and Glycoproteomics Translational Medicine Applications Her recent publications demonstrate a strong focus on applying proteomic approaches to understand cancer biology, particularly melanoma, as well as applications in other disease areas including lupus, tuberculosis, and neurological disorders. Her work often involves collaboration across multiple institutions and integrates various omics approaches. Scientific Awards: Best Poster Award (2023) Dr. Welinder has supervised research work, as indicated by the 'Supervised Work (1)' section in her profile. Her research is supported by collaborations across multiple institutions as shown in her network analysis, with recent external collaborations spanning multiple countries. She is associated with the BioMS facility at Lund University Cancer Centre, which likely serves as her primary research laboratory for mass spectrometry-based proteomic analyses.

Julio A. Chirinosمشاهده پروفایل

استاد

• Cardiovascular Medicine
• Non-invasive Cardiac Imaging
• Arterial Stiffness/Hemodynamics
• +۴ مورد دیگر

Julio A. Chirinos, MD, PhD is a Professor of Medicine (Cardiovascular Medicine) at the Hospital of the University of Pennsylvania and the Perelman School of Medicine. He serves as an Attending Physician at the Hospital of the University of Pennsylvania (HUP), Adjunct Faculty at the Center for Magnetic Resonance and Optimal Imaging, and Co-Director of the Training Program in Cardiovascular Biology and Medicine within the Clinical/Translational Science department. Dr. Chirinos earned his MD from the Catholic University of Santa Maria School of Human Medicine in 1995, followed by a PhD in Biomedical Sciences from the same institution in 1999. He also completed additional training at the University of Ghent in 2012. His research expertise focuses on non-invasive cardiac imaging, arterial stiffness/hemodynamics, ventricular-vascular interactions, and the cardiovascular consequences of obstructive sleep apnea. His clinical expertise includes echocardiography and cardiac MRI, positioning him at the intersection of cardiovascular imaging and physiology. Analysis of his recent publications reveals a strong focus on cardiovascular imaging, arterial stiffness, proteomics in heart failure, and hemodynamic analysis. His work spans multiple methodologies including Mendelian randomization studies, advanced imaging techniques, and proteomic analyses, with particular emphasis on heart failure with preserved ejection fraction (HFpEF), aortic geometry, and vascular aging. Dr. Chirinos actively mentors students and fellows through his role as Co-Director of the Training Program in Cardiovascular Biology and Medicine, though specific advisees are not listed in the available information. His research program appears to be well-funded, given the extensive publication record spanning multiple high-impact journals. He maintains his clinical practice at the Perelman Center for Advanced Medicine (South Tower, Room 11-138) and leads research activities through the Cardiovascular Division at the University of Pennsylvania, contributing significantly to both the clinical and research missions of the department.

• Computational Vision
• Visual Attention
• Perceptual Learning
• +۵ مورد دیگر

Miguel Eckstein is a Distinguished Professor at UC Santa Barbara with joint appointments in the Department of Psychological & Brain Sciences (College of Letters & Science) and the Department of Electrical and Computer Engineering (College of Engineering). He earned a Bachelor's in Physics and Psychology from UC Berkeley and a PhD in Cognitive Psychology from UCLA. His career includes prior positions at Cedars Sinai Medical Center and NASA Ames Research Center. Eckstein leads pioneering research in computational human vision, integrating behavioral psychophysics, eye tracking, EEG, fMRI, and computational modeling to study: Neural mechanisms of visual perception, attention, and learning Medical image perception for clinical diagnostics Bio-inspired computer vision systems Human-robot interaction optimization His work bridges fundamental cognitive neuroscience with applied engineering solutions. Publication analysis reveals interdisciplinary contributions spanning neuroscience, computer vision, medical imaging, and psychology. Recent work (2017-2021) emphasizes neural decoding of visual processes, 3D medical imaging limitations, human-AI perceptual comparisons, and crowd-sourced visual intelligence. Awards and honors include: Guggenheim Fellowship (2019) National Academy of Sciences Troland Award NSF CAREER Award SPIE Image Perception Cum Laude Award Optical Society of America Young Investigator Award He directs the Vision and Image Understanding Lab and co-founded the Mellichamp Initiative in Mind & Machine Intelligence, fostering cross-disciplinary AI research. Grant activities support medical imaging perception, neural computation, and human-machine collaboration projects.

Valentina Graciمشاهده پروفایل

عضو هیئت علمی

• Biomechanics
• Injury Prevention
• Automotive Safety
• +۶ مورد دیگر

Valentina Graci, PhD, is an Assistant Research Professor at Drexel University's School of Biomedical Engineering, Science and Health Systems, while also serving as a researcher at the Center for Injury Research and Prevention (CIRP) and the Neuromotor Performance Laboratory at Children's Hospital of Philadelphia (CHOP). She is a member of METACHOP (Math Engineering Technology at CHOP) and has over a decade of experience in biomechanics research focused on human motion analysis and injury prevention. Her work spans age-related falls in adults and children automotive safety biomechanics neuromotor and musculoskeletal disorders visual perception in locomotion occupant kinematics during pre-crash maneuvers pediatric injury risk assessment Research trends from her publications highlight automotive safety innovations, pediatric biomechanics, and neuromotor control mechanisms. Dr. Graci has received recognition through her nomination as a CHOP Emerging Innovator (2019) and holds significant grant funding from the Center for Child Injury Prevention Studies and the National Science Foundation. Her interdisciplinary approach combines experimental psychology, biomechanics, and rehabilitation science to develop injury prevention strategies. Scientific achievements include 2019 CHOP Emerging Innovator nominee