جست‌وجوی استاد و پژوهشگر

Jen Haenselمشاهده پروفایل

پژوهشگر

• Cognitive Development
• Cultural Psychology
• Eye Tracking Technology
• +۳ مورد دیگر

Jen Haensel is a PhD Student and Visiting Doctoral Researcher in the Department of Psychological Sciences at Birkbeck, University of London. Her work focuses on cultural differences in face perception development using advanced eye tracking techniques. She has held research roles at institutions including Kyoto University and the University of Sheffield. PhD Psychology (2015–present), Birkbeck MSc Educational Neuroscience (Distinction, 2013–2015), UCL/Birkbeck MSc Cognitive and Computational Neuroscience (Distinction, 2011–2012), University of Sheffield BSc Mathematics & Psychology (2007–2011), University of Glasgow Her research integrates screen-based and head-mounted eye tracking to study cross-cultural differences in face scanning patterns among infants and adults from Japan and the UK. She also develops semi-automated methods for analyzing eye-tracking data. Notable contributions include presenting at international conferences like the International Congress of Infant Studies and Vision Sciences Society. Awards include the SR Research Poster Award (2017) and a Psychology Merit Certificate (2010). She has received funding from the Wellcome Trust and MRC. Teaching roles include demonstrating for research methods courses at Birkbeck since 2016.

• 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.

• Virtual Reality
• Human-Computer Interaction
• Affective Computing
• +۴ مورد دیگر

Matias Volonte is a researcher affiliated with Northeastern University , Boston, MA, USA, focusing on virtual reality, human-computer interaction, and affective computing. His work investigates visual attention, emotion contagion, and behavioral modeling in VR environments. Key research areas: Virtual Human behavior, gaze analysis, user perception, and AI-driven interactions Collaborates with experts like Andrew T. Duchowski, Sabarish V. Babu, and Deyrel Diaz Research Trends : Recent publications (2025-2018) emphasize VR-based studies on embodied agents, including path modeling of attention , demographic bias evaluation , and emotional contagion in digital crowds . His work spans healthcare applications, educational AI, and cognitive modeling in immersive environments. Notable Contributions : Co-developed the HeadBox toolkit for facial blendshape animation in VR and explored trust dynamics with AI instructors. He also contributes to standardization of gaze analysis and multimodal interaction frameworks.

• Ophthalmology
• Neurosciences
• Glaucoma Surgery
• +۴ مورد دیگر

Associate Professor Mitchell Lawlor is a Clinical Associate Professor at the University of Sydney's Faculty of Medicine and Health, affiliated with the Save Sight Institute. A dual-fellowship holder in glaucoma and neuro-ophthalmology from Moorfields Eye Hospital and Queen Square, he specializes in optic nerve disorders, glaucoma surgery, and neuro-ophthalmology. He consults at Sydney Eye and RPA Hospitals, and Sydney Eye Surgeons clinics in Bondi Junction, Miranda, and Hurstville. Education: BMed, MMed (OphthSci), FRANZCO, PhD. Research Interests: His work focuses on glaucoma surgery outcomes, optic nerve imaging, and neuro-ophthalmological diagnostics. Key projects include chairing the Fight Glaucoma Blindness! Registry, investigating non-invasive intracranial pressure assessment, and differentiating glaucomatous from non-glaucomatous optic neuropathies via OCT. Grants: Recipient of HCF Research Foundation grants (2018) and Ophthalmic Research Institute of Australia grants (2005). Active in international collaborations, including the Optic Disc Drusen Studies Consortium. Clinical Expertise: Glaucoma surgery, neuro-ophthalmology, and optic nerve disease management. He emphasizes multidisciplinary care, particularly in complex cases requiring neuroimaging or MRI. Publications: Over 60 peer-reviewed articles spanning glaucoma surgery outcomes, optic nerve imaging, and neuro-ophthalmology. Recent work explores functional visual loss mechanisms and comparative efficacy of glaucoma devices.

Jan Bernard Marsmanمشاهده پروفایل

پژوهشگر

• Functional Magnetic Resonance Imaging
• Schizophrenia
• Major Depressive Disorder
• +۷ مورد دیگر

Jan Bernard Marsman is a researcher affiliated with the University of Groningen’s Faculty of Medical Sciences and the UMCG, specifically within the Perceptual and Cognitive Neuroscience (PCN) department and the Clinical Cognitive Neuropsychiatry Research Program (CCNP). His research focuses on neuroimaging techniques, psychiatric disorders, and visual neuroscience. He has contributed to over 77 peer-reviewed publications, with recent work emphasizing schizophrenia, depression, glaucoma, and cognitive impairment. Key research interests include functional MRI applications in emotion regulation, structural brain network analysis in Alzheimer’s precursors, and innovative eye-tracking methods for glaucoma diagnostics. He collaborates globally through initiatives like the ENIGMA consortium to study schizotypy and neuroanatomical correlates of mental health conditions. His articles highlight advancements in using continuous visual tracking for visual field defect detection, gray matter alterations in mild cognitive impairment, and neural mechanisms underlying auditory hallucinations in schizophrenia. Marsman’s work bridges clinical diagnostics with neurobiological insights, contributing to both basic science and translational medicine. Supervised 5 academic works, contributed to 3 datasets (e.g., glaucoma eye-tracking studies), and actively engages in multidisciplinary teams addressing neurodegenerative and psychiatric challenges.

Elena Geanguمشاهده پروفایل

مدرس ارشد

• Early Social and Emotional Development
• Empathy Development
• Infant Cognition
• +۳ مورد دیگر

Dr. Elena Geangu is a Senior Lecturer (Associate Professor) in the Department of Psychology at the University of York, UK. Her research focuses on early socio-emotional development, particularly empathy emergence and mental state understanding in infants and toddlers. She employs behavioral, neuroimaging, and psychophysiological methods like EEG/ERP, eye-tracking, and electromyography (EMG). Education: BSc Psychology (2002), Babes-Bolyai University, Romania MSc Psychological Counselling and Psychotherapy (2003), Babes-Bolyai University PhD Developmental Psychology (2008), Babes-Bolyai University Research Interests: Development of empathy and affect sharing Cross-cultural emotion perception Multi-sensory action processing Neural mechanisms of social cognition Publications: Over 30 peer-reviewed articles, including work on infant facial responses to emotions, cultural perceptual strategies, and neural correlates of action sound processing. Recent studies focus on wearable sensor technologies for infant attention tracking and autonomic nervous system function. Awards: 2006 DAAD Stipendienurkunde for young researchers 2007 CNCSIS Research Grant (1st rank) Grants & Collaborations: Principal Investigator for EPSRC and EU-funded projects on infant development technologies. Collaborates with researchers in Italy, Japan, and the UK. Teaching: Leads advanced modules in Developmental Social Neuroscience and supervises PhD projects on empathy development and action perception.

Mervyn Thomasمشاهده پروفایل

دانشیار بالینی

• Ophthalmology
• Medical Genetics
• Vision Science
• +۶ مورد دیگر

Dr. Mervyn Thomas is a Clinical Associate Professor, Honorary Consultant Ophthalmologist, and Clinical Lead of the Ulverscroft Eye Unit at the University of Leicester. He holds a medical degree (2013), an iBSc, and a PhD, having completed intercalated research years. His academic training includes NIHR Academic Clinical Fellow and NIHR Clinical Lecturer roles, funded through the NIHR Integrated Academic Training (IAT) programme. His research focuses on translational ophthalmology, including foveal hypoplasia grading, albinism genetics, and retinal development. He leads studies using optical coherence tomography (OCT) and zebrafish models to explore ocular and cognitive disorders. He supervises academic doctors, orthoptists, and students, and his work has earned multiple awards, including the Wolfson Prize and Alcon Research Prize. He chairs the EY section and serves on the ARVO Program Committee. He advises the Nystagmus Network and Global Albinism Alliance Scientific Committee. His lab’s recent work includes developing grading systems for foveal hypoplasia and advancing OCT-based diagnostics for craniosynostosis and retinoblastoma. Key Awards: Wolfson Prize (Royal College of Physicians), Alcon Research Prize, Best PhD Thesis (College of Life Sciences) Research Themes: Ocular genetics, retinal development, pediatric ophthalmology Collaborations: Multi-centre studies on albinism, NIH-funded projects His publications span AI-driven retinal imaging, genetic studies, and clinical guidelines for eye tracking and optokinetic reflex reporting.

Yanzhi Zhangمشاهده پروفایل

استاد

• Fractional Partial Differential Equations (PDEs)
• Scientific Computing
• Numerical Analysis
• +۶ مورد دیگر

Dr. Yanzhi Zhang is a Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (Missouri S&T), where she has held academic positions since 2010. She earned a Ph.D. in Mathematics from the National University of Singapore and a B.Sc. in Applied Mathematics (with a Computer Science minor) from Chongqing University. Her research spans computational and applied mathematics, focusing on fractional PDEs, nonlocal models, machine learning applications in materials science and business, Bose-Einstein superfluids, and seismic wave inversion. Dr. Zhang has been awarded the Faculty Excellence Award from Missouri S&T and other accolades. Her work is supported by grants from the National Science Foundation, including projects on fractional viscoacoustic wave equations, Bose-Einstein superfluids, and dispersive wave equations. She advises Ph.D. students in interdisciplinary research, such as Yumeng Wang (machine learning for eye-tracking data) and Yixuan Wu (seismic inversion). Her research integrates mathematical rigor with computational innovation, addressing real-world challenges in geophysics, materials science, and business analytics. Collaborations with industry and academia enhance her contributions to data-driven modeling and open-source strategies for digital transformation.

• Environmental Sustainability
• Media, Culture and Society
• Communications & New Media
• +۲ مورد دیگر

Sonny Rosenthal is a Full-time Faculty member and Associate Professor of Sustainability Communication at the College of Integrative Studies, Singapore Management University. As a Lee Kong Chian Fellow, he focuses on environmental sustainability, media studies, and public health communication. PhD, University of Texas at Austin (2011) MA, Washington State University (2006) BA (Cum Laude), University of Washington (2004) His research spans climate change communication, health behavior interventions, and digital media impacts. Key areas include: Environmental risk perception and proenvironmental behavior Public health messaging during pandemics Fitness tracking technology for aging populations Climate change audience segmentation Eco-labeling and consumer trust Recent publications demonstrate interdisciplinary applications of communication theory to sustainability and health challenges. Articles analyze topics ranging from vaccine hesitancy mechanisms to nature connectedness interventions, reflecting his expertise in blending behavioral science with practical communication solutions. Scientific recognition includes: Lee Kong Chian Fellowship His methodological contributions span structural equation modeling, cluster analysis, and media literacy assessments. Rosenthal's work bridges academic research with real-world applications in both health and environmental domains.

• Child Development
• Psycholinguistics
• Computational Linguistics
• +۵ مورد دیگر

Sammy Floyd is a psychologist at Sarah Lawrence College (SLC) since 2023, with a focus on child development, linguistics, neurodiversity, and computational methods. Holding a PhD from Princeton University and a postdoctoral fellowship from MIT, they explore language acquisition through interdisciplinary approaches including eye-tracking and machine learning. BA, Smith College PhD, Princeton University Postdoctoral Fellow, Massachusetts Institute of Technology Their research spans pragmatic language abilities, lexical ambiguity, and neurodiverse learning patterns, with recent work analyzing communication in autistic youth and historical language change. They teach undergraduate and graduate courses such as Advanced Research Methods, Cognitive Science, and Child Development. Recent publications highlight intersections between human cognition and machine language models, emphasizing polysemous word processing, pragmatic reasoning, and social convention comprehension. Key methodologies include computational analysis, comparative studies, and eye-tracking.

Gerald Acknerمشاهده پروفایل

استاد

• Human Factors in Automotive Systems
• Driver Assistance Technology
• Human-Machine Interaction (HMI)
• +۳ مورد دیگر

Prof. Gerald Ackner is a Professor at the University of Applied Sciences Furtwangen, based at the Tuttlingen campus. His research focuses on human factors in automated driving systems, driver behavior analysis, and human-machine interaction (HMI) design. He specializes in optimizing driver assistance systems, collision warning strategies, and visual attention management in automotive interfaces. His work bridges cognitive science and engineering, with a strong emphasis on improving road safety through better understanding of driver-system interactions. Key research interests include: Design and evaluation of proactive voice assistance systems in automated vehicles Reduction of unnecessary collision alarms through adaptive assistance strategies Analysis of non-driving task engagement in highly automated environments Development of LED-based visual attention guidance systems His publications from 2016-2025 consistently address challenges in automated driving safety, with a thematic focus on: Driver-vehicle interface design Collision avoidance system efficacy Driver behavior under automation Human perception vs. system perception discrepancies He participated in the interdisciplinary UR:BAN-MV research project, contributing to urban mobility HMI design and driver behavior prediction. His work reflects a commitment to both theoretical and applied research in automotive human factors.

• Biomechanics
• Motor Control
• Mild Traumatic Brain Injury (mTBI)
• +۴ مورد دیگر

Gustavo Heidner is an Assistant Professor of Kinesiology at Montclair State University within the College for Community Health . His research focuses on biomechanics and motor control, particularly the diagnosis/treatment of mild traumatic brain injury (mTBI) and its effects on balance, motor control, and decision-making. He also explores virtual reality applications for motor learning paradigms and high-stress encounters like law enforcement responses. His teaching responsibilities include courses such as PEMJ 321 (Kinesiology) and PEMJ 324 (Basic Motor Learning). Educational Background: BSc in Exercise Science and Physical Education (Pontifical Catholic University of RS) MA in Exercise Science: Biomechanics (Indiana State University) PhD in Bioenergetics and Exercise Science: Biomechanics and Motor Control (East Carolina University) Research Interests: Combines biomechanical analysis with neurobehavioral studies to address real-world challenges such as mTBI rehabilitation and decision-making under stress (e.g., law enforcement scenarios). Recent work includes studies on visual-motor control during deadly force encounters and the neural correlates of fatigue vs. concussion. Key Contributions: Over 20 peer-reviewed publications in areas like gait adaptations, police officer motor response variability, and virtual reality-assisted motor training. Research emphasizes translational applications for public safety and clinical practice.

Yong Ju Jungمشاهده پروفایل

استادیار

• Digital Youth
• Informal Learning
• STEM Learning
• +۳ مورد دیگر

Yong Ju Jung is an Assistant Professor in the School of Library and Information Studies at the University of Oklahoma (Norman campus). She focuses on learners’ social, affective, and informational interactions with technology across libraries, museums, makerspaces, and online environments. Her research emphasizes STEM education, data literacy, and inclusive practices for youth with disabilities and older adults. She holds a PhD in Learning, Design, and Technology from Pennsylvania State University, alongside an MA in Educational Technology and BA in Education from Korea University. Her work explores how innovative technologies can foster interest-driven learning, particularly in maker education and informal learning spaces. She has investigated strategies for accessible library makerspaces, children’s algorithm literacy, and the role of libraries in promoting wellness among diverse populations. Her methodological contributions include video-based research techniques and mobile eye-tracking analyses in educational settings. Education: PhD (Pennsylvania State University), MA (Korea University), BA (Korea University) Key Research Themes: Digital youth engagement, maker education, STEM learning, data literacy, interest development, and accessibility Dr. Jung teaches courses such as LIS 4303 (Children’s Literature), LIS 5033 (Information and Society), and LIS 5970 (Makerspaces: Theory and Practice). Her grants and advising contributions are central to her academic service, though specifics require further documentation. She is actively involved in the OU community through her affiliation with Bizzell Library.

Fazilat Hojaji Najafabadiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Telemetry Data Analysis
• +۵ مورد دیگر

Fazilat Hojaji Najafabadi is an Associate Professor in the Department of Computer Science & Information Systems, affiliated with Lero – the SFI Research Centre for Software. Their research focuses on AI-driven analytics in gaming and simulated racing, machine learning applications, and software governance frameworks. Formerly a Senior Software Analysis & Design Leader at ICT Organization of Isfahan Municipality (2018–2020), they hold a PhD in Software Engineering from the University of Isfahan, alongside a Master’s in Information Technology and Management from Amirkabir University of Technology and a Bachelor’s in Computer Science from Isfahan University of Technology. Research Interests: Machine learning for driver behavior analysis, telemetry data modeling, esports performance prediction, and governance frameworks for service-oriented architectures. Their work combines theoretical models with practical applications in software engineering and automotive simulations. Publications: Recent contributions include studies on AI techniques for esports KPI identification, sim racing performance prediction via telemetry, and frameworks for optimizing model-driven systems. Their work bridges machine learning with real-world applications in gaming and automotive domains. Labs/Teams: Active member of Lero, Ireland’s national software research center, contributing to interdisciplinary projects in AI and software engineering.

Haimeng Renمشاهده پروفایل

عضو هیئت علمی

• Translation Studies
• Cognitive Translation Studies
• Translation Pedagogy
• +۳ مورد دیگر

Dr. Haimeng Ren is a Teaching Fellow in the Department of Languages, Cultures and Linguistics at the University of Southampton, where she also earned her PhD in Applied Linguistics/Translation Studies (2022). Her research focuses on cognitive processes in translation, translation pedagogy, and the integration of translation technology. She serves as Programme Lead for the MA in Translation and Professional Communication Skills, emphasizing AI's role in translation while preserving human critical thinking. Education: PhD in Applied Linguistics (University of Southampton, 2022). Research interests include cognitive translation studies, translation of cultural allusions, and the application of eye-tracking techniques to study student translators' decision-making. She explores AI's impact on translation practice and pedagogy, particularly in culturally complex contexts. Teaching includes leading modules on Translation Technology, Interpreting, and Practical Translation, as well as supervising MA dissertations in Translation Studies and Applied Linguistics. She advocates for critical reflection on AI tools in translation education. Her work has been published in journals like Translation, Cognition & Behavior and Babel , analyzing strategies for translating proper-name allusions and literary texts between Chinese and English.