جست‌وجوی استاد و پژوهشگر

• Ophthalmology
• Pediatric Ophthalmology
• Medical Genetics
• +۳ مورد دیگر

Kristina Teär Fahnehjelm is an Adjunct Professor of Ophthalmology at the Department of Clinical Neuroscience, Karolinska Institutet (2023-2027). She serves as a paediatric ophthalmologist at St. Erik Eye Hospital in Stockholm, course director for the Ophthalmology Course at KI, and represents St. Erik’s in ERN EYE. She is also a member of the National Board of ROP. 1985: MD from Karolinska Institutet 2003: PhD in Clinical Science, Intervention and Technology (KI) 2009: Appointed Associate Professor (KI) 2011-2013: European Leadership Development Programme 2015: Adjunct Professor at Gothenburg University 2018-2020: Adjunct Lecturer at KI Her research focuses on pediatric ocular malformations (optic disc hypoplasia, coloboma, microphthalmia/anophthalmia), inherited metabolic disorders (mucopolysaccharidosis, Alagille, LCHAD-deficiency), and patient safety. She investigates the interplay between genetic factors and visual development, with a strong emphasis on OCT imaging, neurodevelopmental outcomes, and quality of life in affected children. Scientific awards include the Marianne Bernadotte Prize in Pediatric Ophthalmology (2020). Her recent publications address retinal hemorrhages in abusive head trauma, genetic heterogeneity in optic nerve hypoplasia, and ocular manifestations in rare diseases like Fabry and Alagille syndromes. She actively collaborates with Tony Pansell's Eye movements and vision research group.

Rubén Alcarazمشاهده پروفایل

دانشیار

• Digital Humanities
• Web Accessibility
• Human-Computer Interaction
• +۳ مورد دیگر

Rubén Alcaraz is an Associate Professor at the University of Barcelona's Department of Library and Information Science, with teaching roles at Pompeu Fabra University (since 2013) and EINA Barcelona (since 2014). He holds a PhD in Engineering and Information Technology from University of Lleida (cum laude), Master's in Digital Content Management (UB/UPF), and Library Science Diploma (UB).

Uwe Rascherمشاهده پروفایل

استاد

• Photosynthesis
• Remote Sensing
• Plant Physiology
• +۵ مورد دیگر

Prof. Dr. Uwe Rascher is the Head of the Shoot Dynamics group at the Institute of Bio- and Geosciences (IBG) , Plant Sciences (IBG-2) within the Jülich Research Centre . His research bridges biophysical processes in photosynthesis with remote sensing applications. Research Focus: Spatiotemporal dynamics of photosynthesis Non-destructive physiological monitoring Solar-induced chlorophyll fluorescence (SIF) for ecosystem analysis Drought and stress response in crops Machine learning for agricultural decision support Integration of leaf-to-canopy scale observations Scientific Trends: Analysis of SIF for photosynthesis quantification, development of hyperspectral imaging systems, cross-scale stress detection (drought, heat), machine learning applications in plant phenotyping, and climate research collaborations. Technical Contributions: Development of HyScreen, FloX, and FluoMap systems for field spectroscopy, UAV-based sensor validation, and standardized ground measurement networks. His work emphasizes sensor fusion, light distribution models, and fractal geometry for fluorescence downscaling.

Karl R. Gegenfurtnerمشاهده پروفایل

استاد

• Visual Perception
• Color Vision
• Sensorimotor Integration
• +۶ مورد دیگر

Prof. Karl R. Gegenfurtner is a Professor in the Department of Psychology at Justus-Liebig-University Giessen, Germany. His research explores the visual system's information processing, focusing on interactions between sensory perception, cognition, and motor control in natural environments. Education : Psychology (Diploma) at University of Regensburg (1986), Ph.D. in Experimental Psychology at New York University (1990) Academic Career : Postdoc at NYU (1990-1993), Research Scientist at Max-Planck-Institute Tübingen (1993-2000), Professor at Otto-von-Guericke University Magdeburg (2000-2001), Professor at Giessen University (since 2001) His work spans visual perception , color vision , and oculomotor control , with groundbreaking studies on color categorization in neural networks, sensorimotor integration, and visual processing during eye movements. Recent publications focus on chromatic contrast sensitivity , gloss perception in AI models , and color constancy in virtual reality . Notable scientific awards include the Wilhelm Wundt Medal (2016), Pineapple Science Award (2024), ICVS Verriest Medal (2024), and the Russell Devalois Memorial Lecture (2024). He served on editorial boards for journals like Journal of Vision and Psychological Review , and currently leads the Color 3.0 ERC Advanced Grant project.

Alice Skeltonمشاهده پروفایل

استادیار

• Developmental Psychology
• Infant Perception
• Cognitive Development
• +۳ مورد دیگر

Dr. Alice Skelton is an Assistant Professor in Developmental Psychology at the University of Sussex, leading the Nature and Development Lab and co-leading the Sussex Baby Lab. Her research focuses on how visual environments, particularly natural scenes, impact infant and child perceptual and cognitive development. She holds a PhD in Infant Color Perception from the University of Sussex, an MSc in Cognitive Neuroscience, and a BSc in Psychology and Philosophy from the University of Leeds. Her research interests include infant color perception, environmental calibration of vision, and the relationship between visual diets and cognitive development. She has published extensively on topics such as color categorization, aesthetic preferences, and the role of natural scenes in perceptual maturation. Dr. Skelton’s work bridges developmental science and applied research, with projects like the BabySee App and collaborations with industry on color vision testing (e.g., ColourSpot). She actively engages in public outreach, contributing to media discussions on vision and development. Key Grants: ERC COLOURMIND, Sussex Research With Impact Awards Awards: Palmer Award (2019), Speaker Award (ICVS 2019) Her teaching spans undergraduate and postgraduate courses in Developmental Psychology and Child Development. She advises multiple PhD, MSc, and undergraduate researchers, focusing on projects like infant-nature interactions and aesthetic preferences.

• Augmented Reality
• Virtual Reality
• Optical See-Through Head-Mounted Displays
• +۵ مورد دیگر

Alexander Plopski is an Associate Professor in the Department of Information and Computer Science at Keio University's Graduate School of Science and Technology. His research focuses on advancing augmented reality technologies, particularly optical see-through head-mounted displays, eye tracking systems, and human-computer interaction paradigms for immersive environments. Dr. Plopski's research interests span multiple dimensions of augmented reality systems. He investigates fundamental challenges in optical see-through displays, including depth perception, occlusion handling, and visual comfort. His work on gaze interaction has significantly contributed to our understanding of how eye tracking can enhance AR experiences. He also explores spatial cognition in AR environments, examining how users perceive and remember spatial information when augmented content is present. His research bridges the gap between display technology, human perception, and practical applications across various domains including industrial assembly, music education, and accessibility. Analysis of his recent publications reveals a strong emphasis on improving the visual quality and usability of AR systems. His work addresses critical challenges such as focal modulation, text legibility in out-of-focus conditions, and creating indistinguishable AR experiences. He has also made significant contributions through comprehensive surveys that map the research landscape in gaze interaction and optical see-through displays. Dr. Plopski's collaborative approach is evident through his extensive network of co-authors across multiple institutions. His work demonstrates both theoretical depth and practical impact, with applications spanning from industrial settings to educational contexts.

Fatma AKALINمشاهده پروفایل

استادیار

• Medical Image Analysis
• Deep Learning
• Bioinformatics
• +۴ مورد دیگر

Dr. Fatma AKALIN serves as an Assistant Professor in the Department of Information Systems Engineering at Sakarya University's Faculty of Computer and Information Sciences. Previously, she held a Research Assistant position at the same institution starting in 2020. Her academic foundation was built through a Bachelor's and Master's in Computer Engineering from Sakarya University. Education: M.Sc. in Computer Engineering, Sakarya University (2018-2020) B.Sc. in Computer Engineering, Sakarya University (2014-2018) Dr. AKALIN's research bridges artificial intelligence with critical medical diagnostics challenges. She pioneers novel applications of deep learning architectures and bio-inspired optimization algorithms across diverse healthcare domains. Her work spans dental radiology for periapical lesion detection, cardiac diagnostics for arrhythmia and heart failure prognosis, gastrointestinal anomaly identification through capsule endoscopy, and genomic sequence analysis for leukemia classification. She has developed specialized techniques including the Crocodile and Egyptian Plover (CEP) optimization algorithm and synthetic data generation methods to address medical data scarcity. Analysis of her 2022-2025 publications reveals a strategic focus on medical image processing with consistent innovation in YOLO-based object detection, ensemble classifiers, and hybrid deep learning models. Her research trajectory demonstrates increasing sophistication in integrating domain-specific constraints with algorithmic advancements, particularly in overcoming data limitations through synthetic data generation and optimization techniques. Dr. AKALIN has not received documented scientific awards or fellowships. Available information does not indicate student advisement or external grant funding. No dedicated research laboratories or collaborative teams are specified in current materials.

Jean-Pierre da Costaمشاهده پروفایل

استاد

• Computer Vision
• Image Processing
• Precision Agriculture
• +۳ مورد دیگر

Jean-Pierre da Costa is a Professor at Université de Bordeaux, affiliated with the Institut Polytechnique de Bordeaux and the IMS (Integration of Material to System) Laboratory. His research focuses on signal and image processing with applications in precision agriculture and plant disease detection, particularly within the MOTIVE team of the Signal and Image Processing research group. Dr. da Costa's research spans computer vision, deep learning, and proximal sensing technologies applied to agricultural challenges. He specializes in developing automated systems for crop monitoring, disease diagnosis, and precision farming operations. His work bridges theoretical image processing with practical agricultural solutions, with significant contributions to grapevine disease detection (particularly Flavescence Dorée and downy mildew), mechanical weeding systems, and vineyard monitoring technologies. The research combines algorithm development with real-world field validation, often involving multi-year experimental studies across different grape varieties and crop types. His publication record shows a consistent trajectory toward increasingly sophisticated AI-driven agricultural solutions. Early work focused on fundamental image processing techniques, while recent publications demonstrate integrated systems combining proximal sensing, deep learning, and real-time decision making. The research spans both fundamental materials science (pyrocarbon nanostructure analysis) and practical agricultural applications, showing remarkable interdisciplinary breadth. A common thread is the development of robust, field-deployable technologies that operate effectively in challenging outdoor conditions. Dr. da Costa collaborates extensively with agricultural researchers, viticulturists, and industry partners including STMicroelectronics, Stellantis, and various French research institutions. His work often involves multi-year projects with practical implementations, such as the BIPBIP project (Bloc-outil et Imagerie de Précision pour le Binage Intra-rang Précoce) funded by ANR. The MOTIVE team he leads develops complete solutions from image acquisition through to actionable agricultural insights, with several publications describing systems that operate in real-time on low-power embedded platforms suitable for field deployment.

• Computer System Software
• Image Processing
• Programming Languages
• +۳ مورد دیگر

Murat IŞIK is a Lecturer in the Department of Computer Engineering at the Faculty of Engineering and Architecture, Kırşehir Ahi Evran University. He has been serving as a full-time faculty member since 2017 and currently holds additional administrative positions as Department Head (since 2025) and Research Application Center Deputy Director (since 2024). PhD in Computer and Information Engineering, Sakarya University (2011-2017) MSc in Computer Engineering, Sakarya University (2009-2011) Bachelor's Degree from Dicle University, Batman Technical Education Faculty (2002-2006) Dr. IŞIK's research spans multiple areas in computer science and engineering, with a focus on artificial intelligence applications. His primary research interests include Computer System Software, Image Processing, Programming Languages, Computer Software and Software Engineering, Machine Learning, and Artificial Intelligence. His work demonstrates a strong interdisciplinary approach, applying computer vision and deep learning techniques to diverse fields including medical diagnostics, education technology, and accessibility solutions. His recent publications show a trend toward practical applications of AI in education, healthcare, and everyday life challenges. He has developed innovative solutions such as real-time assessment systems for primary schools, assistive technology for visually impaired individuals, and classification systems using deep learning approaches. Research World Medal and Research World Excellent Paper Award (2016) Dr. IŞIK has successfully supervised multiple master's students and is actively involved in numerous research projects funded by higher education institutions. His projects range from BCI-supported deep learning models for motor/facial movement detection to AI-assisted insole production and intelligent test systems for primary school students. He has secured funding for projects extending through 2027, demonstrating sustained research productivity. He leads the Computer Engineering department's research efforts and has established collaborations with researchers both within Turkey and internationally, particularly in Iraq. His laboratory work focuses on implementing practical AI solutions with an emphasis on accessibility and educational applications.

• Medical Genetics
• Ophthalmogenetics
• Audiogenetics
• +۲ مورد دیگر

Mette Bertelsen Vardrup is a Clinical Associate Professor in the Department of Clinical Medicine at the University of Copenhagen and a clinical geneticist at the Department of Clinical Genetics, Copenhagen University Hospital - Rigshospitalet. She serves as clinical coordinator and leads Ophthalmogenetics and Audiogenetics programs at the hospital, integrating clinical practice with academic research in medical genetics. Her research centers on genetic mechanisms of sensory disorders, with dual focus on hereditary eye conditions (including inherited retinal diseases, optic nerve atrophy, congenital cataracts, and glaucoma) and genetic hearing impairment (both syndromic and non-syndromic forms). This work bridges ophthalmology, audiology, and molecular genetics to develop precision diagnostic approaches for complex sensory disorders. Analysis of her 43 research outputs reveals consistent emphasis on genomic characterization of rare disorders, particularly retinitis pigmentosa variants, optic disc drusen, and achromatopsia. Her recent publications (2023-2025) demonstrate methodological integration of whole-genome sequencing, detailed phenotyping, and biomarker discovery across international collaborations, with significant contributions to understanding genotype-phenotype correlations in Danish patient cohorts.

Yuhao Zhuمشاهده پروفایل

دانشیار

• Visual Computing
• Imaging
• Human Perception
• +۵ مورد دیگر

Yuhao Zhu is an Associate Professor at the University of Rochester, holding joint appointments in the Department of Computer Science and the Department of Brain and Cognitive Sciences. He is affiliated with the Center for Visual Science and the Goergen Institute for Data Science. His research focuses on visual computing, spanning imaging (optics, image sensors), human perception/cognition, and computer systems (architecture, programming models). He earned his Ph.D. from The University of Texas at Austin and has held visiting positions at Harvard University and Arm Research. Education: Ph.D. in Electrical and Computer Engineering, The University of Texas at Austin, 2017 M.S.E. in Electrical and Computer Engineering, The University of Texas at Austin, 2015 B.S. in Computer Science and Engineering, Beihang University, 2010 Research Interests: Dr. Zhu explores interdisciplinary areas such as computational imaging, human visual perception modeling, and energy-efficient computing systems. His work bridges optics, cognition, and computer architecture, with applications in AR/VR, autonomous systems, and neural rendering. Key themes include optimizing systems using biological principles and developing tools for efficient visual computing. Awards: NSF CAREER Award (2020) University Research Award (2023, 2019) ISCA Hall of Fame (2023) ACM SIGARCH Dissertation Award (2018, Honorable Mention) Teaching and Service: He teaches courses on computer imaging, graphics, and systems architecture. He serves on program committees for top conferences (ISCA, ASPLOS, MICRO) and chairs university-wide committees on AI ethics and international collaborations. His lab, Horizon Lab, actively mentors students and fosters interdisciplinary research. Labs/Teams: The Horizon Lab at URCS focuses on visual computing, with projects in computational art, AR/VR optimization, and robotic computing systems. Collaborations span academia and industry (e.g., Meta, Arm).

Daniela Hernandez Muguiroمشاهده پروفایل

استادیار بالینی

• Clinical Pathology
• Veterinary Hematology
• Tick-borne Diseases
• +۳ مورد دیگر

Daniela Hernandez Muguiro serves as a Clinical Assistant Professor in the Department of Diagnostic Medicine/Pathobiology at Kansas State University's College of Veterinary Medicine. Her clinical expertise spans hematology, cytology, urinalysis, chemistry, and serum protein electrophoresis within veterinary diagnostic pathology. Her academic foundation includes: BVSc (2008) from Universidad de Guadalajara Master in Veterinary Medicine: Veterinary Clinical Pathology (2011-2013) from Universidad Nacional Autonoma de Mexico Clinical Pathology residency (2015-2018) at Cornell University Diplomate of the American College of Veterinary Pathologists (Clinical Pathology, 2018) Dr. Hernandez Muguiro's research program centers on clinical pathology with specialized focus on canine and feline hematopoietic neoplasia and tick-borne diseases. Her work bridges diagnostic laboratory medicine with collaborative clinical studies, particularly examining vector-borne pathogens in Hong Kong canine and feline populations. Recent publications reveal expanding interests in machine learning applications for immunocytochemistry image analysis and the epidemiology of emerging pathogens in exotic species. Her scientific contributions demonstrate consistent productivity across parasitology, hematology, and diagnostic methodology. The publication timeline shows progressive specialization in tick-borne disease epidemiology (2023-2024), hematopoietic neoplasia in exotic species (2020), and innovative diagnostic approaches (2023-2025), with increasing international collaboration evident in Hong Kong-based studies. Her professional recognition includes: Diplomate, American College of Veterinary Pathologists (Clinical Pathology, 2018) As an educator, she directs fourth-year veterinary student rotations in VDMP902 Diagnostic Medicine while training diagnostic medicine interns and anatomic pathology residents. Her collaborative research model emphasizes clinical pathology support for multidisciplinary studies, though specific grant details remain unpublicized. Current work shows strong international engagement through Hong Kong-based investigations of vector-borne diseases and fungal infections in companion animals, with growing integration of computational methods in diagnostic pathology.

• Computer Vision
• Generative AI
• Healthcare Data Science
• +۳ مورد دیگر

Daochang Liu is a Lecturer in the Department of Computer Science and Software Engineering at The University of Western Australia (UWA). He is affiliated with the School of Physics, Maths and Computing. His research focuses on advanced AI technologies including Computer Vision, Generative AI, and Healthcare Data Science. Liu’s work contributes to UN Sustainable Development Goals through innovations in clinical data analysis and accessibility solutions for visual impairments. His research expertise includes diffusion models, image quality enhancement, and adversarial machine learning. Notable contributions include developing DiffAct++ for action segmentation and pioneering adversarial noise-based transfer learning to bridge data gaps in generative AI. He actively supervises Higher Degree by Research students and has published extensively in top-tier conferences like CVPR and IJCAI. Liu’s work integrates theoretical advancements with practical applications, such as personalized image generation for color vision deficiency populations. His research bridges computational methods with real-world healthcare challenges, demonstrated through collaborations on clinical data analysis and semantic-level image synthesis improvements.

• Colour Vision
• Colour Perception
• Cognition
• +۲ مورد دیگر

Dr. Valerie Bonnardel is a Reader in Experimental Psychology at the University of Winchester's School of Psychology and Social Sciences. She holds an MA in Experimental and Biological Psychology from Paris V and a PhD in Neurosciences from Paris VI, complemented by post-doctoral research at the University of Cambridge. Her international experience includes serving as the Asian Paints Colour Research Chair at India's National Institute of Design (2011-2012), where she established research programs bridging colour science and design applications. Her research focuses on: Human colour perception mechanisms and cognitive processing Cross-cultural variations in colour experience and preference Individual differences in visual cognition Applied research in design, marketing, and political branding Dr. Bonnardel's extensive publication record (50+ articles) demonstrates consistent focus on colour perception fundamentals while expanding into interdisciplinary applications. Her recent work examines colour's role in political branding, logo design evaluation, and cultural communication strategies, employing diverse methodologies from psychophysics to cross-cultural surveys. She has secured significant research funding, including the £25,000 NID-Asian Paint Research Grant, and maintains active professional leadership as former Chair of the Colour Group (Great Britain) and Executive Member of the International Colour Vision Society. Dr. Bonnardel welcomes research supervision in colour perception and cognition.

Sarah J Waughمشاهده پروفایل

دانشیار

• Spatial Vision
• Visual Acuity
• Visual Crowding
• +۷ مورد دیگر

Dr Sarah J Waugh serves as Reader in Optometry and Vision Sciences at the University of Huddersfield's Department of Optometry and Vision Sciences within the School of Applied Sciences. She is Co-Director of the Centre for Vision across the Life Span and maintains an active research program while accepting PhD students. Her academic journey spans multiple prestigious institutions including Aston University, Anglia Ruskin University, University of Melbourne, University of Houston, and McGill University. Queensland University of Technology: Diploma in Applied Science (Optometry) University of Melbourne: Master of Science University of Houston: PhD in Psychophysical Visual Mechanisms Waugh's research focuses on spatial vision mechanisms with particular emphasis on visual crowding, amblyopia detection, and pediatric vision development. Her work bridges fundamental visual neuroscience with clinical optometry applications, especially in developing improved diagnostic methods for children's vision disorders. Recent publications demonstrate her leadership in establishing crowding distance as a superior metric for amblyopia detection compared to traditional acuity measures. Analysis of her 15 most recent publications reveals consistent focus on visual crowding mechanisms across developmental stages, with increasing emphasis on clinical translation. Her work demonstrates how crowding metrics outperform traditional acuity tests in detecting amblyopia, particularly in pediatric populations, while also exploring color vision deficiencies and binocular vision disorders. Fellow of the American Academy of Optometry Active reviewer for Vision Sciences Society and international journals Grant reviewer for Biotechnology and Biological Sciences Research Council Waugh has supervised 7 PhD students to completion and 4 Postdoctoral Research Fellows while externally examining 5 PhDs internationally. Her research program is supported through multiple grants including an Evelyn Trust grant to establish clinical psychophysical testing services. She maintains active collaborations through the Centre for Vision across the Life Span and has established unique NHS pediatric ophthalmology services at university clinics. Current work explores virtual reality treatments for amblyopia and improved visual screening methods for children.