جست‌وجوی استاد و پژوهشگر

• Biostatistics
• Clinical Trials
• Emergency Medicine
• +۷ مورد دیگر

James Dziura is a Professor of Emergency Medicine, Biostatistics, and Medicine (Endocrinology) at Yale University. He serves as Co-Director of the Yale Center for Analytical Sciences (YCAS) and Director of the Yale Data Coordinating Center. With appointments spanning multiple departments including Emergency Medicine (Primary), Biostatistics (Secondary), and Endocrinology (Secondary), he plays a significant role in Yale's academic and research infrastructure. Dr. Dziura's research interests span several critical areas of public health and clinical medicine. His work focuses on biostatistical methodology for clinical trials, emergency medicine applications, autism research, substance abuse treatment, and metabolic disorders. He has developed innovative approaches to data coordination for multicenter trials and has contributed significantly to understanding behavioral factors in emergency settings and the epidemiology of metabolic conditions. His recent publications reveal a strong emphasis on applying advanced analytical methods to pressing healthcare challenges, particularly in emergency department interventions, autism biomarkers, and substance use disorders. His work demonstrates a consistent pattern of translating statistical expertise into practical clinical applications across diverse healthcare settings. Professor of Emergency Medicine (Primary Appointment) Professor of Biostatistics (Secondary Appointment) Professor of Medicine (Endocrinology) (Secondary Appointment) Co-Director, Yale Center for Analytical Sciences (YCAS) Director, Yale Data Coordinating Center Dr. Dziura has been actively involved in training the next generation of researchers, serving as a mentor for K-awardees, post-doctoral fellows, residents, and Master's students. He has developed graduate-level courses and workshops on biostatistics in clinical research. His leadership extends to directing data coordinating centers for major clinical trials including the Autism Biomarkers Consortium for Clinical Trials (ABC-CT) and the STRIDE trial for fall injury prevention in older adults.

Kitsuchart Pasupaمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Chemoinformatics
• +۷ مورد دیگر

Professor Kitsuchart Pasupa, Ph.D. , is a royal-appointed full professor and Vice Dean for Research & Innovation and International Affairs at the School of Information Technology (SIT) , King Mongkut's Institute of Technology Ladkrabang (KMITL) , Thailand. He has held academic positions at the University of Southampton, University of Sheffield, University College London, IIT Patna, and several European institutes, and is a senior member of both IEEE and the Asia Pacific Neural Network Society (APNNS). Education Ph.D. in Automatic Control & Systems Engineering, University of Sheffield, UK (2007) M.Sc.(Eng) in Control Systems, University of Sheffield, UK (2004) B.Eng. in Electrical Engineering, Sirindhorn International Institute of Technology, Thammasat University, Thailand (2003) Research Focus Professor Pasupa’s research lies at the intersection of machine-learning theory and real-world applications . He designs and deploys algorithms for chemoinformatics, bioinformatics, eye-tracking analytics, cyber-bullying detection, Thai natural-language processing, multimodal fusion, time-series forecasting , and healthcare AI . His work spans from foundational reservoir computing and extreme learning machines to large-scale deep learning systems operating on mobile devices and cloud platforms. Across more than 150 refereed publications , a clear trend emerges: leveraging limited or noisy data, handling concept drift, and delivering interpretable AI solutions for socially impactful domains such as medical imaging, precision livestock farming, financial analytics, and smart-city water management. Scientific Awards & Fellowships APNNS Young Researcher Award 2019 Multiple Best Paper Awards (ICITEE 2024, KST 2019, IC2IT 2018, NCIT 2015, NCCIT 2014) KMITL Honorable Fame Awards (2014–2022) Teaching Excellence Award 2017, KMITL Commander (Third Class) of the Most Noble Order of the Crown of Thailand (2020) Companion (Fourth Class) of the Most Exalted Order of the White Elephant (2017) Grants & Supervision He has attracted >30 M THB in research funding from Thai government agencies, EU (FP7), Indian DST, and industry partners (SCB, KBTG). He currently leads a 2025-2026 KMITL grant on multimodal financial Q/A for Hindi and Thai and has completed projects on cyber-bullying in ASEAN languages, car-parts segmentation, eye-tracking, SNP analytics, waste classification, and smart farming . PhD advisees: 3 current + 6 completed Master’s & Bachelor’s student supervision: >60 theses and projects Internship teams: guided award-winning student teams in international programming contests (NAPROCK, NSC, TICTA) Laboratory & Teams His Intelligent Systems & Machine Learning Research Group at SIT-KMITL collaborates closely with IIT Patna, University of Malaya, Aalto University, and University of Leoben, maintaining an active visiting-scholar program and hosting joint workshops and data challenges. The lab focuses on reproducible research and open datasets in Thai NLP, medical imaging, and smart-city analytics.

• Cognitive Science
• Experimental Psychology
• Social Psychology
• +۵ مورد دیگر

Kairi Sugimoto is a Research Associate at Waseda University's School of Fundamental Science and Engineering, Department of Intermedia Art and Science, while also serving as a Part-time Lecturer at Meiji Gakuin University's Faculty of Psychology and Taisho University's Faculty of Human Studies. With an active research profile spanning cognitive science, experimental psychology, and neuroscience, Sugimoto's work bridges multiple disciplines to explore fundamental questions about human cognition and social behavior. Research Associate, Waseda University (2024-present) Part-time Lecturer, Meiji Gakuin University (2025-present) Part-time Lecturer, Taisho University (2024-present) Former Research Fellow, Japan Society for the Promotion of Science (2021-2024) Sugimoto's educational background demonstrates a strong foundation in interdisciplinary science, having completed undergraduate, master's, and doctoral studies at Waseda University's School of Fundamental Science and Engineering, Department of Intermedia Art and Science. This educational trajectory has positioned Sugimoto at the intersection of cognitive science, psychology, and neuroscience. Kairi Sugimoto's research interests span cognitive science, experimental psychology, social psychology, Kansei informatics, neuroscience, cognitive psychology, basic psychology, and political psychology. Their work particularly focuses on how facial expressions, body language, and social contexts influence cognitive processing, memory formation, and social decision-making. A significant portion of Sugimoto's research examines developmental aspects of these phenomena, with numerous studies investigating how children process social information and form judgments about others. Recent work has expanded into political psychology, exploring how facial stereotypes of politicians influence political decision-making, and into neuroscience, investigating EEG biomarkers of relaxation states. The publication record reveals a consistent trajectory of research examining social cognition through multiple lenses. Early work focused on children's memory for social exchanges and how emotional incongruity affects memory. This evolved into investigations of extraordinary capabilities and social status attribution in children, then expanded to include political psychology and neuroscience applications. Recent publications show increasing methodological sophistication, incorporating EEG measurements, eye-tracking, and cross-cultural comparisons. The research demonstrates a clear progression from basic cognitive mechanisms to more complex social and political applications, while maintaining a consistent focus on how humans process social information. Sugimoto has received recognition for their scholarly contributions, most notably the Young Researcher Excellent Presentation Award in 2020 for work on facial somatics in transcultural situations. This award recognized research examining how children process source memory in social exchanges, particularly when emotional expressions contradict expected behaviors. Young Researcher Excellent Presentation Award (2020) Sugimoto has been actively involved in research projects funded by Waseda University and the Japan Society for the Promotion of Science, with current projects examining cognitive information processing biases from facial features and political decision-making based on politician facial stereotypes. Their educational contributions include developing teaching materials on academic writing for psychology research and using generative AI in psychology research, demonstrating commitment to advancing research methodology in the field. As a member of multiple professional societies including the Japan Cognitive Science Society, Japan Cognitive Psychology Society, and Japanese Society of Basic Psychology, Sugimoto is well-integrated into the academic community. Current research projects indicate active engagement with contemporary issues in cognitive science, particularly the intersection of facial perception, political psychology, and neural mechanisms of social cognition.

• Digital Landscape Design
• Geographical Virtual Environments
• Immersive Landscape Visualization
• +۷ مورد دیگر

Ítalo Sousa de Sena is an Assistant Professor in Digital Landscape Design at University College Dublin's School of Architecture, Planning and Environmental Policy. He joined UCD in 2023 as a postdoctoral researcher for the Horizon 2020 project HeritACT and was promoted to Teaching Fellow in September 2024, then to Assistant Professor in January 2025. He also serves as Programme Director for the BSc Landscape Architecture program starting March 2025. His academic journey includes a Geography degree from Federal University of São João Del-Rei (2013), a Master's in Analysis and Modeling of Environmental Systems from Federal University of Minas Gerais (2015), and a PhD in Geography from the same institution (2019). Dr. de Sena specializes in geographical virtual environments and immersive landscape visualization, with particular expertise in applying Minecraft as a tool for landscape visualization and participatory urban planning. His research bridges GIS, remote sensing, environmental analysis, geotourism, and geoconservation, focusing on how digital tools can facilitate public participation in climate action and urban planning. He developed GeoMinasCraft, a geogame that recreates the UNESCO World Heritage site of Ouro Preto, Brazil within Minecraft to study landscape perception. His recent publications demonstrate a strong focus on playful participatory planning systems, heritage reactivation strategies, and geovisualization frameworks. The research shows consistent application of digital tools for community engagement, particularly in using Minecraft's spatial mechanics to facilitate public participation. His work with the HeritACT project demonstrates practical applications of these methodologies across multiple European contexts including Eleusis, Milan, and Ballina. Co-awarded funding by Research Ireland for Craft-my-Street project Contributor to Horizon 2020 projects HeritACT and SCORE Postdoctoral research at Masaryk University (2021-2022) External researcher at Geoprocessing Laboratory (UFMG) and Geogames Lab (Iowa State University) At UCD, Dr. de Sena teaches Landscape Studio courses and coordinates the Fieldwork module. His teaching integrates his research expertise in digital landscape design with practical applications in urban planning. His work represents a significant contribution to the emerging field of serious geogames and their application in sustainable planning practices, particularly in engaging diverse stakeholders including children and communities in the planning process.

• Multi-stable Perception
• Perceptual Inference
• Cognitive Neuroscience
• +۷ مورد دیگر

Dr. Alexander Pastukhov is an Assistant Professor at the Department of General Psychology and Methodology, University of Bamberg. His research focuses on multi-stable perception , perceptual inference , and the interplay between attention and microsaccades . He develops open-source tools like saccadr , eyelinkReader , and bistablehistory for analyzing eye movements and perceptual dynamics. Research Interests : Multi-level mechanisms of perception and memory History effects in bistable perception Attentional allocation via microsaccade analysis Bayesian modeling of perceptual decision-making Scientific Awards : 2013 'Best of the Year' award from the Psychonomic Society for work on sensory memory and adaptation in structure-from-motion displays His recent software development includes probabilistic programming tools for 2D/3D transformations and eye-tracking analysis. He also contributes to applied data analysis teaching materials using R and Python. Collaborative projects with industry partners (e.g., BMW) and institutions (e.g., Fraunhofer, Orange Labs) highlight his research transfer efforts.

• Surgical Robotics
• Medical AI
• Medical Imaging
• +۳ مورد دیگر

Dr. Ali Nasseri is an Adjunct Professor in the Department of Biomedical Engineering at the University of Alberta's Faculty of Engineering. He also serves as the founding director of the Medical Autonomy and Precision Surgery (MAPS) Laboratory at the School of Medicine and Health of the Technical University of Munich. With over 15 years of experience in medical and surgical robotics, Dr. Nasseri leads research initiatives at TUM, Johns Hopkins University, and the University of Alberta, coordinating multiple large-scale collaborative projects funded by BMBF, BFS, and NIH. Dr. Nasseri's research focuses on surgical robotics, medical AI, medical imaging, medical XR, and medical autonomy. His multidisciplinary background in mechatronics, computer vision, machine intelligence, and medicine has led to a focused research program on surgical autonomy and intelligent robotic interventions. He is a pioneer in robotic eye surgery and has published more than 140 peer-reviewed articles in these fields. His recent work focuses on utilizing AI and real-time multimodal perception to implement surgical workflow autonomy—enabling robotic systems to adapt seamlessly to intraoperative complexity. His publications over the past few years demonstrate a strong trend toward increasing autonomy in ophthalmic surgery, with particular emphasis on AI-driven solutions, precision control systems, and real-time monitoring for safety. The research spans multiple subfields including retinal surgery, corneal procedures, surgical planning, and instrument tracking, with a consistent focus on improving surgical outcomes through technological innovation. best paper awards As co-founder of two medical robotics startups, Dr. Nasseri is actively engaged in translational research bridging laboratory innovation and clinical deployment. He directs the largest medical robotics project currently funded by the Bavarian Research Foundation and several industry-backed initiatives, demonstrating strong connections between academic research and industry applications. Dr. Nasseri leads the Medical Autonomy and Precision Surgery (MAPS) Laboratory at TUM, which focuses on developing intelligent robotic systems for surgical applications. The lab brings together experts from engineering, computer science, and medicine to tackle challenges in surgical robotics, with particular expertise in ophthalmic procedures.

Assaf Harelمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Visual Recognition
• Visual Expertise
• +۶ مورد دیگر

Assaf Harel is an Associate Professor in the School of Professional Psychology at Wright State University, where he investigates the neural basis of visual recognition in real-world contexts through a neuroergonomic approach. Education: PhD in cognitive neuropsychology from the Hebrew University of Jerusalem (Israel) Post-doctoral research fellowship at the National Institute of Mental Health (NIMH) at the National Institutes of Health (NIH) His research centers on visual expertise, object and scene recognition, augmented cognition, categorization, perceptual learning, and top-down control mechanisms. Dr. Harel employs interdisciplinary methods to bridge theoretical neuroscience with real-world applications, examining how brain activity generates high-level visual cognition during everyday tasks. Analysis of his 2012-2018 publications reveals consistent focus on the temporal dynamics of scene processing using EEG, the impact of task context on object recognition, and neural mechanisms of visual expertise. His work frequently integrates fMRI, EEG, psychophysics, and eye tracking to explore how top-down cognitive factors modulate visual processing across cortical regions. No scientific awards were documented in the provided materials. Details regarding student advising, grant funding, or mentorship activities were not specified in the source text. Dr. Harel directs the Human Neuroscience and Visual Cognition Lab, which utilizes multimodal cognitive neuroscience techniques to study perception-cognition interactions in ecologically valid settings, with applications in aviation ergonomics and human performance optimization.

• Cognitive ergonomics
• Human factors
• Stress analysis
• +۵ مورد دیگر

Dr. Emad Alyan serves as a Researcher in the Experimental Ergonomics department at the Leibniz Research Centre for Working Environment and Human Factors Dortmund (IfADo), where he has been employed since April 2022. Previously, he worked as a post-doctoral researcher at Universiti Teknologi PETRONAS in Malaysia from August 2021 to March 2022, following his PhD completion. His research integrates neuroscience, engineering, and ergonomics to understand human cognitive processes in real-world environments. Dr. Alyan's educational background includes a Doctor of Philosophy (Ph.D.) in Electrical and Electronics Engineering from Universiti Teknologi PETRONAS (2021), a Master of Science in Computer & Communication Engineering from Universiti Malaysia Perlis (2016), and a Bachelor of Engineering in Biomedical Electronic Engineering from the same institution (2014). His primary research interests focus on cognitive ergonomics and human factors , with specialization in stress analysis using physiological measures. Dr. Alyan has pioneered methodologies using EEG and eye blink metrics to assess cognitive workload in driving simulations and workplace environments. His work bridges neuroscience and practical applications in transportation safety and workplace design, with particular attention to how age differences affect neural responses during complex tasks. Analysis of Dr. Alyan's publication record from 2023-2025 reveals a strong focus on real-world neuroscience applications. His research consistently examines the relationship between eye blink patterns and EEG activity as biomarkers for cognitive states. The publications demonstrate a progression from basic measurement techniques to advanced signal processing methods for real-world applications, with significant implications for driver safety monitoring systems and workplace ergonomics assessment tools. As a researcher at IfADo, Dr. Alyan collaborates with Prof. Dr. Edmund Wascher (Head of Department) and works within the Experimental Ergonomics team under the broader Ergonomics research division. His work contributes to the institute's mission of improving working conditions through scientific research on human factors and ergonomics.

Valdimar Sigurdssonمشاهده پروفایل

استاد

• Consumer Psychology
• Retailing
• Digital Marketing
• +۴ مورد دیگر

Valdimar Sigurdsson is a Professor at Reykjavík University, where he serves as the Head of Marketing at the School of Business and the director for the Centre for Marketing and Consumer Psychology. With 127 publications and over 133,000 reads on ResearchGate, he has established himself as a leading researcher in consumer behavior and marketing. Dr. Sigurdsson earned his PhD from Cardiff University. His academic journey has positioned him as a prominent scholar with expertise spanning multiple disciplinary domains including consumer psychology, digital marketing, sustainability, retailing, and health-related consumption behaviors. Professor Sigurdsson's research focuses on consumer behaviour analysis, retailing, digital marketing, health, sustainability and tourism. His work frequently employs cutting-edge methodologies such as eye-tracking, neuro-Information Systems (NeuroIS), and behavioral experiments to understand consumer decision-making processes. His research has significant practical implications for sustainable consumption, digital marketing strategies, and consumer psychology. The Behavior & Technology Lab, which he leads, serves as a hub for innovative research at the intersection of human behavior and technological interfaces. Analysis of his extensive publication record reveals a strong emphasis on sustainability signaling, consumer responses to eco-labels, digital marketing in the metaverse, and the psychological mechanisms behind consumer choices related to health and sustainability. His work increasingly incorporates cross-cultural perspectives, with studies spanning 65 nations and 40 languages, demonstrating methodological rigor through collaborative replication projects and large-scale measurement validation studies. Professor Sigurdsson has built a robust research program through extensive collaboration with scholars across the globe, resulting in numerous high-impact publications in top marketing and psychology journals. His research has been cited over 2,300 times, demonstrating significant influence in his field and practical relevance for businesses seeking to understand consumer behavior in digital and sustainable contexts. As director of the Centre for Marketing and Consumer Psychology and leader of The Behavior & Technology Lab, Professor Sigurdsson oversees a dynamic research environment that bridges theoretical marketing concepts with practical applications in the digital age. His lab focuses on understanding how technology shapes consumer behavior and how businesses can leverage these insights for more effective marketing strategies, particularly in the realms of sustainability and health-conscious consumption.

Nils Magne Larsenمشاهده پروفایل

دانشیار

• Sustainability Communication
• In-Store Marketing
• Consumer Behavior
• +۵ مورد دیگر

Nils Magne Larsen serves as Associate Professor at Tromsø University Business School, UiT The Arctic University of Norway since January 2016. His research bridges consumer behavior analysis and retail marketing, focusing on sustainability communication, in-store interventions, and digital quality signals. With 41 publications generating over 56,950 reads and 820 citations, his work demonstrates significant scholarly impact in marketing science. Larsen investigates how environmental cues shape consumer choices in physical and online retail environments, particularly regarding sustainable fashion and healthy food consumption. His research employs behavioral economics frameworks to analyze loyalty programs, customer centricity metrics, and profitability drivers. Recent studies examine AI-generated labels, smart shopping cart interventions, and the psychological mechanisms behind green consumption through experimental methodologies including eye-tracking and conjoint analysis. Analysis of his 15 most recent publications (2022-2025) reveals three dominant research trajectories: sustainable fashion consumption driven by pride emotions, digital signaling effectiveness in food retailing, and pandemic-influenced mobility behavior. His work consistently applies behavioral perspective models to develop practical retail interventions while advancing theoretical understanding of consumer decision-making under sustainability constraints. Larsen collaborates extensively through Gordon Foxall's Lab, focusing on observational technologies for in-store behavior analysis. His research program integrates video surveillance, mobile tracking, and experimental designs to transform retail spaces into 'modern Skinner boxes' for real-world consumer behavior research, with applications spanning grocery retailing, fashion, and health marketing sectors.

Kenneth Pughمشاهده پروفایل

استاد

• Reading Development
• Dyslexia
• Neuroimaging
• +۵ مورد دیگر

Kenneth Pugh is a Professor in the Department of Psychological Sciences at the University of Connecticut. He holds significant leadership positions including President and Director of Research at Haskins Laboratories, and adjunct appointments as Associate Professor in the Child Study Center and Department of Diagnostic Radiology at Yale University School of Medicine. He directs the Yale Reading Center and co-leads the Yale-Haskins Teagle Foundation Collegium on Student Learning. Education: Ph.D. in Experimental Psychology, The Ohio State University, 1990 M.A. in Experimental Psychology, The Ohio State University, 1987 B.S. in Psychology, Summa Cum Laude, New York Institute of Technology, 1982 His research investigates neurobiological foundations of reading and language using advanced neuroimaging techniques. Focus areas include dyslexia, reading development across languages, neurochemical predictors of literacy, genetic influences on cognition, and brain plasticity during learning interventions. His work integrates cognitive neuroscience with educational applications. Recent publications demonstrate a focus on longitudinal neuroimaging studies of reading acquisition, neural predictors of literacy outcomes, cross-linguistic comparisons (including Chinese), and genetic-neurocognitive interactions. Key methodologies include fMRI, MRS, and behavioral assessments across diverse developmental populations. Principal Investigator roles include: A-214: Neurochemistry as a moderator of brain networks for reading A-202: Neurocognitive bases of treatment resistance in developmental dyslexia (subcontract) A-222: Tracking neurocognitive changes during evidence-based reading instruction He directs interdisciplinary teams at the Yale Reading Center and Haskins Global Literacy Hub, focusing on translational research connecting neuroscience with educational practice.

Michael T. Johnsonمشاهده پروفایل

استاد

• Speech and Signal Processing
• Machine Learning
• Bioacoustics
• +۴ مورد دیگر

Dr. Michael T. Johnson is a Professor and Associate Dean for Undergraduate Education and Student Success at the University of Kentucky College of Engineering . Previously, he served as Professor and Chair at UKY (2016–present), Full Professor at Marquette University (2013–2016), and in progressive academic roles from Assistant to Associate Professor at Marquette (2000–2013). PhD in Electrical and Computer Engineering, Purdue University (2000) M.S. in Electrical Engineering, University of Texas at San Antonio (1994) B.S. in Engineering (EE concentration) and Computer Science, LeTourneau University (1989–1990) His research spans speech processing , machine learning , bioacoustics , and dynamical systems modeling . Key projects include electromagnetic articulography (EMA) for language learning, acoustic-to-articulatory inversion , and bioacoustic analysis of animal vocalizations (tigers, belugas, elephants). Collaborative work with institutions like Tsinghua University and the Georgia Aquarium highlights his interdisciplinary focus. Recent publications emphasize deep learning for speech enhancement (CNN-based temporal envelope reconstruction), dysarthric speech synthesis , and cross-lingual speaker identification . His 15 most recent articles (2016–2024) span machine learning, signal processing, and bioacoustics, with subfields including neural networks, articulatory modeling, and pandemic preparedness analysis. Scientific awards include Eta Kappa Nu (HKN) Teaching Awards (2005, 2014). He has mentored numerous PhD/Masters students at University of Kentucky and Marquette University, with theses on topics like acoustic-to-articulatory inversion , EMA databases , and bioacoustic classification . His work also involves virtual reality welding systems and nonlinear speech enhancement via phase space reconstruction.

Nomdo Jansoniusمشاهده پروفایل

استاد

• Glaucoma
• Perimetry
• Optical coherence tomography
• +۴ مورد دیگر

Prof. Dr. Nomdo Jansonius is Professor of Ophthalmology at the University of Groningen's Faculty of Medical Sciences and heads the Department of Ophthalmology at the University Medical Center Groningen (UMCG). His academic career spans both physics and medicine, with a specialization in glaucoma research and clinical ophthalmology. Jansonius coordinates the EU-funded doctoral network EGRET AAA (2023-2027) and previously led the EGRET and EGRET+ research training programs (2016-2020). He serves as co-editor of Acta Ophthalmologica and sits on the editorial board of Investigative Ophthalmology & Visual Science. Dr. Jansonius's research primarily focuses on glaucoma, perimetry, optical coherence tomography, physiological optics, retinal physiology, and ophthalmic epidemiology . His work bridges fundamental biophysics with clinical applications, particularly in developing diagnostic methods for glaucoma. He leads the Groningen Glaucoma Group and has made significant contributions to understanding visual field defects, vision-related quality of life in glaucoma patients, and the relationship between systemic conditions and ocular diseases. His recent publications demonstrate a strong emphasis on vision-related quality of life assessment tools, genetic factors in glaucoma, and comparative studies between glaucoma and other neurodegenerative conditions like Parkinson's disease. Jansonius frequently collaborates with international research consortia including the European Eye Epidemiology Consortium and the Global Biobank Meta-analysis Initiative. Board of directors member and co-editor, Acta Ophthalmologica Editorial board member, Investigative Ophthalmology & Visual Science Member, Imaging and Perimetry Society (IPS) Member, European Association for Vision and Eye Research (EVER) Member, Association for Research in Vision and Ophthalmology (ARVO) Professor Jansonius has supervised numerous research projects and PhD candidates. His current EU-funded EGRET AAA doctoral network trains early-stage researchers in glaucoma research. His laboratory work combines advanced imaging techniques with visual function assessment to develop better diagnostic and monitoring tools for glaucoma patients. The Groningen Glaucoma Group maintains active collaborations with research institutions worldwide, particularly in genetic studies of glaucoma and comparative analyses of visual field testing methodologies.

• Ocular Movements
• Attention
• Cognitive Functions
• +۵ مورد دیگر

Dr. Aarlenne Khan is an Associate Professor at the School of Optometry, University of Montreal, and holds the Canada Research Chair in Vision and Action. Her research focuses on interactions between attention, ocular movements, and cognitive functions in healthy and neurological populations (e.g., Parkinson’s disease, parietal lobe lesions, ataxia). She employs behavioral, neurophysiological, and neuroimaging techniques, including transcranial direct current stimulation (tDCS). Education: Bachelor’s in Psychology (2000), York University Master’s in Psychology (2002), York University Ph.D. in Psychology (2006) and Neuroscience (2006) from York University and Université Claude Bernard, France Postdoctoral training at The Smith-Kettlewell Eye Research Institute (2006–2009) and Queen’s University (2009–2013) Research Interests: Ocular movements, spatial attention, motor control, and cognitive deficits in neurological disorders. Her work bridges basic neuroscience and clinical applications, emphasizing translational outcomes. Grants & Awards: Canada Research Chair in Vision and Action (2014–present) CIHR and NSERC grants for studies on attention-motor interactions and vision rehabilitation Leading roles in networks like RRSV (Vision Health Research Network) and REPAR (Adaptation-Rehabilitation) Advising: Supervised over 10 graduate theses, including work on Parkinson’s cognitive functions, spatial inhibition mechanisms, and optic ataxia. Labs & Teams: Member of the GRSV (Vision Sciences Research Group), CIRCA (Brain and Learning), and the Interdisciplinary Vision and Action Lab at the School of Optometry.

• Human-Computer Interaction
• Gaze-Based Interaction
• Eye Tracking
• +۵ مورد دیگر

Päivi Majaranta is a Senior Lecturer at Tampere University , Faculty of Information Technology and Communication Sciences, Department of Computing Sciences. She is actively engaged in teaching and research within the field of human-technology interaction. Research Focus: Her work spans gaze-based human-computer interaction, human augmentation, eye-controlled interfaces, and animal-computer interaction (particularly with dogs). She has pioneered applications of eye tracking in accessibility and usability research. Academic Leadership: Majaranta has held numerous positions of trust, including leadership roles in international workshops (ACM ETRA, PETMEI, COGAIN Association) and advisory boards (Eyes4ICU Doctoral Network). She contributes to editorial boards like the Journal of Eye Movement Research. Research Projects: Currently involved in the AWE - Augmented Wearable Computing project and the Speechreading project "Katse huulioon?" in collaboration with the University of Oulu. She leads the Visual Interaction Research Group (VIRG) and contributes to curriculum development in the Master’s Programme in Human-Technology Interaction. Teaching Contributions: Offers courses on usability/user experience evaluation methods and user interface design principles. Acts as a thesis supervisor for Master's students in Computing Sciences and Electrical Engineering. Recent Publications Trends: Recent work focuses on eye-tracking applications in accessibility, gaze interaction with haptic feedback, and animal-computer interaction through canine activity monitoring with wearable sensors. Her research combines technical innovation with deep understanding of human and animal behavior. Phone: +358503185879 Mobile: +358503231733 Campus: City Centre Campus