جست‌وجوی استاد و پژوهشگر

Angela Gutchessمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Social Neuroscience
• Memory
• +۵ مورد دیگر

Angela Gutchess is a Professor of Psychology at Brandeis University with appointments in Neuroscience and the Volen Center for Complex Systems. She directs the Aging, Culture and Cognition Laboratory, where she investigates how age and culture influence memory and social cognition using behavioral, neuroimaging (fMRI, EEG), and patient methods. Her research has been supported by grants from the National Institute on Aging and the Alzheimer's Association. Educational Background: B.A. in Psychology from Boston University M.A. in Psychology from University of Michigan Ph.D. in Psychology from University of Michigan Dr. Gutchess's research focuses on understanding how aging affects memory specificity and neural mechanisms, with particular attention to how cultural background modulates these processes. Her work demonstrates that older adults can compensate for decreased medial temporal lobe activity by recruiting prefrontal regions during encoding, but show age-related differences during recognition tasks. She has pioneered research comparing cognitive and social processes across East Asian and Western cultures, revealing cultural differences in object processing and memory organization. Her cross-cultural work with aging populations has identified how life experiences and plasticity interact with neurobiological aging. Analysis of Dr. Gutchess's recent publications reveals a strong focus on the intersection of culture, aging, and memory processes. Her work increasingly employs multimodal approaches combining behavioral testing with neuroimaging techniques to examine how acculturation affects cognitive strategies over time. A notable trend is her exploration of self-referencing mechanisms across cultures and how these change with age, with implications for understanding memory preservation in aging. Scientific Awards and Honors: APA Division of Adult Development and Aging Award for Outstanding Doctoral Research (2004) APA Dissertation Research Award (2004) Association for Psychological Science Fellow (2019) Elected to Governing Board of Psychonomic Society (2019) Chair of Governing Board of Psychonomic Society (2023) Fulbright Scholar Award (2010-2011) Alzheimer's Association Research Grant (2014-2017) Dr. Gutchess has successfully mentored numerous graduate students through completion of their PhDs and MA degrees, including Dr. Krystal Leger, Dr. Wanbing Zhang, and Dr. John Ksander. Her lab has received significant funding from the National Institute on Aging to investigate the effects of aging on memory and decision making across cultures. Current research projects examine how acculturation affects memory strategies longitudinally and are developing culturally-specific training paradigms for memory enhancement. Her lab also investigates how aging impacts the ability to distinguish truth from falsehood, with findings suggesting older adults may come to believe their own lies within 45 minutes. The Aging, Culture and Cognition Laboratory at Brandeis University brings together a diverse team of researchers including PhD students, postdoctoral fellows, and undergraduate research assistants. The lab is actively recruiting East Asian participants for studies on cultural influences on cognition and has established collaborations with researchers at Harvard University for fMRI studies. Dr. Gutchess also co-organizes the annual Culture and Cognition Pre-conference associated with the Psychonomic Society, fostering interdisciplinary dialogue in this growing field.

• Neuroscience
• Memory Consolidation
• Hippocampus
• +۷ مورد دیگر

Zhang Xiaomin is an Assistant Professor of Neuroscience at the Brain Research Institute, University of Zurich. Her research focuses on understanding the cellular and circuitry mechanisms underlying episodic memory consolidation in the hippocampus, with particular relevance to early-onset Alzheimer's disease. She employs advanced in vivo electrophysiological recordings and optical tools to investigate single-neuron dynamics, neuronal population coding properties, and the role of neuromodulation during spatial memory consolidation. Her educational background includes: Bachelor's degree in Biomedicine from China Master's degree in Neuroscience from China Ph.D. from University of Heidelberg, Germany under Prof. Andreas Draguhn Postdoctoral fellowship at Institute of Science and Technology, Austria under Prof. Peter Jonas Dr. Zhang's research primarily investigates how episodic memories, which initially are fragile, become consolidated for long-term retention. She has established in vivo whole-cell patch-clamp recording techniques in head-fixed behaving animals to study memory consolidation mechanisms. Her work bridges cellular neuroscience with cognitive function, focusing on how disruptions in these processes contribute to Alzheimer's disease pathology. The laboratory employs cutting-edge methodologies including advanced electrophysiology, optical tools, and computational approaches to understand neural coding during memory formation. Analysis of her publication record reveals a strong focus on hippocampal function, particularly dentate gyrus circuitry and granule cell dynamics. Her research trajectory shows progression from basic cellular mechanisms to more complex network-level questions, with increasing emphasis on computational approaches and disease models. The publications demonstrate expertise in both experimental neuroscience and computational analysis, with significant contributions to understanding how neural circuits process spatial information and consolidate memories. Her scientific achievements have been recognized through prestigious awards: SNSF Prima Fellowship Synapsis Foundation Career Development Award Dr. Zhang leads the Laboratory of Memory Consolidation at the University of Zurich, where she mentors a diverse research team including multiple PhD students and research assistants. Her group continues to investigate the neuronal mechanisms underlying impaired episodic memory formation, with the ultimate goal of identifying potential therapeutic targets for Alzheimer's disease and related memory disorders. The laboratory maintains active collaborations with other neuroscience research groups at the Brain Research Institute and beyond.

Liz Hirshornمشاهده پروفایل

استاد

• Psycholinguistics
• Reading Cognition
• Individual Differences in Skilled Reading
• +۵ مورد دیگر

Liz Hirshorn is a Professor in the Department of Psychology at the State University of New York at New Paltz, where she directs the Diversity in Language Lab (DiLL). Her research employs behavioral and EEG methodologies to investigate individual differences in skilled reading and cognitive interactions, with particular focus on alternative pathways to literacy that challenge conventional reading models. Her research program centers on psycholinguistics and cognitive neuroscience, specifically examining how skilled reading develops through variable cognitive routes. Key projects include comparing English and Chinese reading processes to identify shared cognitive mechanisms between distinct writing systems, and investigating relationships between reading and face processing to understand lifelong neuroplasticity. Her work has significant implications for understanding struggling readers and developing alternative literacy interventions. Dr. Hirshorn actively advises thesis students in psycholinguistics using behavioral or EEG methodologies, with recent projects exploring music-reading skill relationships and attentional differences in video game players. Her lab emphasizes experimental approaches to cognitive psychology with applications to educational contexts. She maintains an active publication record spanning cognitive neuroscience, psycholinguistics, and reading research, with recent work focusing on holistic word processing, bilingual reading, and neuroplasticity in deaf populations. Her research demonstrates consistent methodological rigor through combined behavioral and neuroimaging approaches.

Apostol Slavchevمشاهده پروفایل

استاد

• Training in sprint and hurdle running
• Specialized diversity in athletics
• Sports science
• +۵ مورد دیگر

Professor Apostol Slavchev serves as Vice-Rector for Academic Affairs at the Vasil Levski National Sports Academy, where he holds a professorship in the Department of Athletics within the Faculty of Pedagogy. With over four decades of academic service, he has held leadership roles including Dean of the Faculty of Education (2008-2016) and membership on the Academic Council since 2007, demonstrating sustained institutional commitment to advancing sports education and athletic training methodologies. His academic foundation includes doctoral studies completed in 1998 with a dissertation on 400m hurdle training optimization, complemented by medical education at Sofia's G. Dimitrov State Medical University (1978-1982). His scholarly journey reflects a unique integration of medical science with athletic specialization: Doctorate in Sports Training Methodology (1998) Medical University Studies (1978-1982) Polytechnic High School Diploma (1972-1976) Slavchev's research spans sprint and hurdle training mechanics , athletics officiating systems , and inclusive athletic programming for diverse populations including children and Special Olympics participants. His work bridges theoretical sports science with practical coaching applications, particularly in developing technical proficiency in short-distance events through biomechanically-informed training protocols. The integration of mathematical modeling in sports ranking systems demonstrates his interdisciplinary approach to athletic administration. His 150+ publications reveal consistent focus on athletics pedagogy and technical officiating , with recent works emphasizing digital educational tools and longitudinal performance analysis. The trajectory shows evolving specialization from foundational coaching manuals toward sophisticated biomechanical analysis and institutional management systems, reflecting both deepening expertise and expanding administrative responsibilities. As an academic advisor, Slavchev has supervised four doctoral candidates to successful dissertation completion, with research concentrated in athletic training methodology. His institutional roles include directing postgraduate training for coaches and serving on the editorial board of the "Athletics & Science" journal, demonstrating commitment to knowledge dissemination. Slavchev founded and chairs the KLASA athletics club at the National Sports Academy while leading the Bulgarian Athletics Federation's judges committee since 2004. His practical coaching legacy includes developing over 100 athletes, with multiple national champions in hurdle events, demonstrating effective translation of academic research into competitive success.

• Spatial Navigation
• Memory Systems
• Neural Circuits
• +۴ مورد دیگر

Fabian Kloosterman is a Lecturer at KU Leuven's Laboratory for Biological Psychology, with additional affiliations at the KU Leuven Brain Institute (LBI) and the KU Leuven Institute for Integration of Micro- and Nano-scale Technologies (LIMNI). His research focuses on the neural mechanisms underlying spatial navigation and memory processes. His research interests center on understanding brain circuit function in spatial navigation and memory. Using advanced electrophysiological and biochemical approaches in rodent models, Kloosterman investigates hippocampal-prefrontal interactions, spatial coding mechanisms along neural axes, and the role of neural oscillations in cognitive processes. His work bridges systems neuroscience with technological innovation in neural recording methodologies. Analysis of his recent publications reveals a strong focus on spatial coding mechanisms, particularly in the hippocampus and connected structures. His research employs high-density neural probes and optogenetic techniques to investigate how brain circuits process spatial information and support memory functions. A recurring theme involves examining the relationship between neural oscillations (particularly theta rhythms and sharp-wave ripples) and cognitive processes. Kloosterman actively supervises doctoral candidates, with several students completing PhD theses under his guidance on topics related to spatial coding, memory systems, and neural circuit function. His research is supported by multiple active grants through KU Leuven's research portal, including projects investigating cognitive flexibility, retrosplenial cortex function, and hippocampal-prefrontal interactions. He leads research within the Laboratory for Biological Psychology, focusing on neural circuit mechanisms of cognition. His team employs cutting-edge electrophysiological techniques combined with behavioral paradigms to investigate how distributed brain networks support spatial navigation and memory processes.

Mark Buckleyمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Behavioral Neuroscience
• Memory Systems
• +۴ مورد دیگر

Professor Mark Buckley is a leading researcher in Behavioural and Cognitive Neuroscience at Oxford University, affiliated with the Department of Experimental Psychology and Queen’s College. He also holds visiting positions at Tohoku University Brain Science Centre and RIKEN Brain Science Institute in Japan. Education: D.Phil. in Experimental Psychology from Oxford University His research focuses on understanding how interconnected neural systems in the brain underpin learning, memory, and decision-making, with a particular emphasis on the prefrontal cortex and temporal lobes. His work bridges basic neuroscience with applications in dementia, amnesia, and psychiatric disorders. Recent publications highlight his exploration of neural dynamics in problem-solving, executive control fluctuations, and frontopolar cortex functions. His studies employ neuropsychological, neurophysiological, and neuroimaging techniques across normal and lesioned brain models. Scientific Awards: Medical Research Council Research Training Fellowship Royal Society University Research Fellowship Buckley teaches undergraduate and graduate courses in psychobiology, behavioral neuroscience, and memory neurobiology. He oversees research projects and dissertations, fostering advanced study in cognitive processes. His laboratory is funded by the Medical Research Council (MRC), Biotechnology and Biological Sciences Research Council (BBSRC), and Wellcome Trust, reflecting the significance of his work in cognitive neuroscience.

• Electron device and electronic equipment
• Chemical reaction and process system engineering
• Wireless sensor networks
• +۴ مورد دیگر

Shigeyuki Tateno is a Professor at the Graduate School of Information, Production and Systems within the Faculty of Science and Engineering at Waseda University. Holding a Doctor of Engineering degree from Kyushu University, he has established himself as a leading researcher in wireless sensor networks, fault diagnosis systems, and corrosion engineering. His academic journey spans over three decades, with significant contributions to both theoretical frameworks and practical industrial applications. Dr. Tateno received his graduate education from Kyushu University's Division of Engineering, specializing in chemical engineering, completing his studies in 1992. His academic career progressed from Research Assistant in the Department of Chemical Engineering at Kyushu University (1992-2003) to Associate Professor at Waseda University's Graduate School of Information, Production and Systems (2003-2009), culminating in his current position as Professor. He maintains active membership in four professional societies: Japan Facility Management Society, Institute of Electronics, Information and Communication Engineers, Society of Instrument and Control Engineers, and Society of Chemical Engineers. His research portfolio demonstrates remarkable breadth across multiple engineering disciplines. Dr. Tateno's primary research thrusts include wireless sensor networks for human motion detection and indoor positioning, fault detection and diagnosis using signed digraphs and graph theory, and corrosion engineering with particular focus on corrosion under insulation in petrochemical plants. His work bridges chemical engineering with computer science and electronics, creating innovative solutions for challenges in industrial maintenance, autonomous systems, and healthcare monitoring. Recent projects have expanded into autonomous driving systems, elderly monitoring technologies, and rescue operation support systems. Analyzed across his 67 publications with 276 citations and an h-index of 8, Dr. Tateno's research shows clear evolution from theoretical fault diagnosis methods toward practical applications in safety-critical systems. His most recent work demonstrates strong interdisciplinary connections between electronics, chemical engineering, and computer science, with increasing emphasis on real-world implementations in automotive technology, elderly care facilities, and industrial maintenance systems. The consistent thread throughout his career is the application of measurement technology to solve practical engineering problems. Japan Facility Management Society Institute of Electronics, Information and Communication Engineers Society of Instrument and Control Engineers Society of Chemical Engineers Dr. Tateno has supervised numerous research projects addressing critical engineering challenges in industrial maintenance, safety systems, and sensor technology development. His research has been applied in diverse settings including petrochemical plants, elderly care facilities, and automotive systems. The practical impact of his work is evident in implemented systems for pipe corrosion management, autonomous vehicle control, and rescue operation monitoring. His approach consistently bridges theoretical frameworks with practical implementations, ensuring research outcomes deliver tangible benefits in real-world environments. His laboratory focuses on developing wireless sensor network applications for positioning systems, human motion detection, and industrial monitoring. The research team combines expertise in electronics, chemical engineering, and computer science to create innovative solutions for challenges in elderly care, rescue operations, and petrochemical plant maintenance. Current projects include autonomous driving systems for elderly mobility, real-time logistics monitoring, and drowsiness detection systems based on physiological changes, reflecting the team's commitment to addressing societal challenges through engineering innovation.

• Intelligent Machine
• Human Symbiotic Humanoid Robot
• Anthropomorphic Robotic Hand
• +۵ مورد دیگر

Hiroyasu Iwata is Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering. He serves as Director of the Frontier Mechanical Engineering Research Institute and Director of Global Robot Academia Institute. Holding a Dr. Engineering degree from Waseda University, his research spans intelligent machines, medical robotics, and rehabilitation engineering, with over 256 publications and an h-index of 22. His research focuses on human-robot symbiosis with emphasis on humanoid robotics, tactile perception, and medical applications. Iwata develops systems for rehabilitation, tele-operated medical procedures, and human-coordinated machine systems that enhance human capabilities. His recent work explores VR applications for cognitive rehabilitation, particularly for stroke patients with spatial neglect, and human augmentation through supernumerary robotic limbs. Iwata's publications reveal strong interdisciplinary trends across medical robotics, virtual reality applications, and human augmentation technologies. His research bridges engineering and medical fields with particular focus on stroke rehabilitation, echocardiography robotics, and VR training systems for cognitive and physical rehabilitation. Best Paper Award, Robotics Society of Japan (2018) Multiple Outstanding Presentation Awards from Society of Instrument and Control Engineers (2017) Grand Prize, System Control Fair 2017 Executive Committee (2017) The Young Scientists' Prize from Minister of Education, Culture, Sports, Science and Technology (2009) Distinguished Achievement Award from Waseda University (2007) Iwata actively collaborates with medical institutions including Nippon Medical School through joint symposia on medical-science-engineering collaboration. His laboratory conducts research on robotic echocardiography, VR rehabilitation systems, and supernumerary robotic limbs, securing funding for projects that translate engineering innovations into medical applications. He directs the Frontier Mechanical Engineering Research Institute and Global Robot Academia Institute at Waseda University, fostering interdisciplinary collaboration between engineering and medical fields. Through the Nippon Medical School and Waseda University Joint Symposium series, his work promotes the integration of robotics, medicine, and engineering for clinical applications.

Md Shahinur Alamمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Artificial Intelligence
• Virtual Reality
• +۵ مورد دیگر

Dr. Md Shahinur Alam is an Assistant Professor in the Department of Computer Science & Information Technology at Hood College, where he teaches both undergraduate and graduate courses. Previously, he served as a Postdoctoral Researcher at the VL2 Center at Gallaudet University and in the Optical Information Lab at Chungbuk National University in South Korea. Dr. Alam's educational background includes: Ph.D. in Information & Communication Engineering from Chungbuk National University, South Korea B.Sc. in Computer Science & Engineering from Jashore University of Science & Technology, Bangladesh His research focuses on innovative applications at the intersection of human-computer interaction, artificial intelligence, and virtual reality. Dr. Alam has pioneered several groundbreaking technologies including air-writing systems that replace traditional pen-and-paper input, a VR-based ASL learning platform called ASL Champ!, and image super-resolution techniques that advance optical microscopy eightfold beyond conventional physical limits. His work bridges theoretical advancements with practical applications in education, accessibility, and scientific visualization. Dr. Alam has received multiple prestigious awards for his research contributions: Best Demo Award at XR ACCESS 2024 Best Paper Award at COOC 2021 Best Paper Award at CRC 2019 As an active member of the academic community, Dr. Alam has served as a reviewer for over 30 academic journals, evaluating more than 150 research papers. He leads the NSF-funded Signing Avatars & Immersive Learning (SAIL 2.0) project, which develops innovative VR technology for American Sign Language education. His research has resulted in over 40 peer-reviewed publications and has accumulated more than 150 citations. Dr. Alam's work spans multiple interdisciplinary research areas, with particular emphasis on developing accessible technologies. His ASL Champ! project combines 3D avatar design, motion capture, and AI model development to create an immersive learning environment. His air-writing technology offers touchless input methods applicable in augmented reality, virtual reality, and healthcare settings. The research team he leads continues to push boundaries in gesture recognition, virtual reality interfaces, and image enhancement technologies.

• Computer Vision
• Image Analysis
• Machine Learning
• +۴ مورد دیگر

Dr Shahana Bano is a Lecturer in the School of Computing, Engineering & Technology at Robert Gordon University, specializing in interdisciplinary applications of Artificial Intelligence. Her research spans biomedical imaging, environmental monitoring, infrastructure analytics, and socio-technical systems through the Machine Vision Research Group and Cybersecurity Research Group. Her educational background includes a PhD in Computer Science and Engineering, M.Tech in Computer Science and Engineering, MSc in Information Systems, and BCA - all completed full-time. Her research philosophy centers on convergence, bringing together diverse data types, technologies, and disciplines to create impactful, adaptive systems that bridge academic innovation with societal relevance. Dr Bano's research interests focus on Computer Vision, Image Analysis, Machine Learning, Data Analytics, Internet of Things, Text to Speech Systems, and Social Media Threat Intelligence. Her recent work demonstrates strong application of these interests to medical diagnostics (CAR-T cell classification), environmental monitoring (geothermal reservoir modeling), infrastructure analytics (pipeline defect detection), and social systems (hate detection in football communities). Her publication record shows consistent output with 32 research outputs from 2015-2025, demonstrating increasing focus on medical and environmental applications of AI in recent years. The work spans theoretical computer vision advancements to practical implementations addressing UN Sustainable Development Goals. Associate Fellow (AFHEA) 2023 from Advance HE Dr Bano actively supervises PhD students and mentors interns on diverse projects. Current PhD supervision includes research on morphological classification of CAR-T cell images for leukemia diagnosis and acoustic emission-based pipeline defect detection. She also guides students on projects involving AR-based navigation, NDVI vegetation mapping, hate detection in football communities, multimodal sensor fusion, and airport runway object detection. Her lab resources are supported through university research groups and collaborations focused on machine vision and cybersecurity applications.

MUZAFFER ASLANمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۳ مورد دیگر

Associate Professor Muzaffer Aslan is a faculty member at Bingöl University's Faculty of Engineering and Architecture, specializing in applied artificial intelligence research. His work bridges computer science, electrical engineering, and biomedical domains with practical implementations in industrial, medical, and energy systems. His academic journey includes a BSc in Electronic-Computer Education from Gazi University (1993), MSc from Fırat University (2004), and PhD in Electrical-Electronics Engineering from Fırat University (2016). This multidisciplinary foundation enables his cross-domain research approach. Professor Aslan's research centers on developing efficient deep learning solutions for real-world problems. His primary focus areas include medical imaging analysis (brain tumor and COVID-19 detection from X-rays), fall detection systems using depth sensors, emotion recognition from EEG signals, and appliance classification for smart grids. He innovates through hybrid architectures that combine CNNs with signal processing techniques like wavelet transforms and dispersion entropy, achieving high accuracy while maintaining computational efficiency. His publication record shows accelerating output since 2020, with 11 journal articles in 2021-2022 alone spanning medical diagnostics, agricultural technology, and industrial quality control. Recent work demonstrates increasing sophistication in model design, particularly in efficient architectures for resource-constrained environments as seen in his 2023 surface defect detection paper. As Principal Investigator for a TÜBİTAK 1002 project on appliance classification, he secures active research funding while mentoring graduate students. His supervision style emphasizes practical implementation, with students frequently co-authoring publications and contributing to textbook development. The collaborative nature of his work is evident in multi-institutional authorship patterns across his publications.

• Cognitive Psychology
• Visual Perception and Attention
• Multisensory Integration
• +۴ مورد دیگر

Steven Blurton is an Associate Professor in the Department of Psychology at the University of Copenhagen's Faculty of Social Sciences, specializing in cognitive psychology with a focus on mathematical modeling of perceptual and decision processes. His research integrates computational approaches with experimental paradigms to investigate fundamental cognitive mechanisms. Research Interests: Visual perception and attention dynamics Multisensory integration across auditory and visual domains Mathematical modeling of response times and decision-making Theory of Visual Attention (TVA) frameworks Sequential sampling models for cognitive processes His recent publications demonstrate an evolving trajectory from foundational work on Wiener diffusion models (2012) toward increasingly sophisticated integrations of response time modeling with multisensory processing and executive function interventions, with significant contributions appearing in Psychological Review , Journal of Mathematical Psychology , and Vision Research . Current research within the KU 2016 "Dynamical Systems" program focuses on unifying accuracy and response time predictions through sequential sampling models. Key Activities: Principal Investigator in the DFF 8018-00014B project "Foundations of Response Time Measurement" (2019-2020) Active member of the Center for Visual Cognition research group His methodological expertise spans computational modeling, experimental design for perceptual tasks, and advanced statistical analysis of cognitive data, with applications spanning basic research and educational interventions.

• Working Memory
• Cognition
• Attention
• +۵ مورد دیگر

Timothy Ricker is an Associate Professor in the Department of Psychology at the University of South Dakota, where he conducts research on working memory, cognition, attention, and perception. His work combines behavioral experimentation, mathematical process modeling, and Bayesian estimation to investigate how visual sensations transform into robust working memories and the mechanisms of forgetting during multitasking. He teaches courses related to cognition and statistics, framing the brain as a computer and life as probabilistic events. Education: Ph D, Psychology, University of Missouri, 2013 MA, Psychology, University of Missouri, 2009 BA, Psychology, Michigan State University, 2006 Ricker's research focuses on short-term consolidation in working memory, examining how fleeting sensory representations become durable memories. His lab investigates boundary conditions for cognitive load effects, the relationship between working memory and multitasking, and how memory representations change across different tasks. Using computational models, his team differentiates fine-detail and categorical-gist memory representations, with recent work challenging traditional views that multitasking causes forgetting—instead proposing it prevents standard memory creation processes. His publication record shows a clear trajectory toward understanding memory consolidation mechanisms, with increasing emphasis on computational modeling approaches like drift diffusion modeling. Recent work explores the relationship between working memory and long-term memory, the impact of mind-wandering on cognitive performance, and translating laboratory findings to everyday cognitive functioning. Scientific Awards: Arts & Sciences Faculty Travel Grant, College of Arts & Sciences, University of South Dakota (2022) Arts & Sciences Faculty Travel Grant, College of Arts & Sciences, University of South Dakota (2023) Arts & Sciences Faculty Travel Grant, College of Arts & Sciences, University of South Dakota (2024) Ricker has secured substantial grant funding including a $1.5M award from the National Institute of Neurological Disorders and Stroke (2025-2030) for his Bayesian Neurocomputational Model of Cognitive Change in Multiple Sclerosis. His research program is supported by diverse funding sources including the Swiss National Science Foundation and the Center for Brain and Behavior Research at USD. He directs the Memory & Attention Laboratory at USD, which employs behavioral experiments, eye tracking, pupillometry, and computational modeling to study fundamental memory and attention processes. The lab has developed a distinctive focus on translating laboratory findings to everyday cognitive functioning and understanding suboptimal cognitive performance in daily life contexts, moving beyond traditional ideal observer models.

Chris Orietمشاهده پروفایل

استاد

• Face Recognition
• Visual Perception
• Attention
• +۳ مورد دیگر

Dr. Chris Oriet is a Professor in the Department of Psychology within the Faculty of Arts at the University of Regina. He concurrently serves as Associate Dean, Planning and Programs, for the Faculty of Graduate Studies and Research. His academic appointment is firmly rooted in cognitive psychology with a focus on experimental methodologies. Dr. Oriet earned his Ph.D. from the University of Waterloo. His educational background established the foundation for his research in human information processing and visual cognition. His research program investigates face learning and recognition mechanisms, attentional limitations in perception, and the effects of experience on visual processing. Key contributions include demonstrating how within-person variability contributes to durable face learning, establishing that statistical summary representations facilitate visual short-term memory retention, and developing the single lineup paradigm for eyewitness identification research. His work bridges theoretical cognitive models with real-world applications in forensic psychology. Analysis of Dr. Oriet's recent publications reveals a cohesive trajectory focusing on face processing systems (2021-2024), attention capture mechanisms (2017-2020), and statistical representation in visual cognition (2016-2023). His research consistently examines how humans process complex visual information under attentional constraints, with particular emphasis on facial identity representation and its implications for eyewitness testimony. Dr. Oriet has secured competitive research funding from NSERC, including a current Discovery Development Grant (2023-2025) supporting his work on within-person variability in face memory. His research program demonstrates sustained productivity with consistent publication in top cognitive psychology journals. He directs the Regina Integrative Cognitive Experimentation Lab, which employs rigorous experimental approaches to investigate visual perception and memory. The lab's current work focuses on face-space modeling, attentional capture phenomena, and applications of cognitive principles to eyewitness identification procedures, maintaining strong connections between basic research and practical forensic applications.

Raju Sapkotaمشاهده پروفایل

پژوهشگر ارشد

• Diabetic Retinopathy
• Visual Short-Term Memory
• Age-Related Macular Degeneration
• +۵ مورد دیگر

Dr. Raju Sapkota serves as a Senior Research Fellow at Anglia Ruskin University's Vision and Eye Research Institute within the School of Medicine (Faculty of Health, Medicine and Social Care). His academic foundation includes a PhD from Anglia Ruskin University (2010), MSc in Investigative Ophthalmology and Vision Science from the University of Manchester (2006), and Bachelor in Optometry from Tribhuvan University, Nepal (2002). His research expertise centers on diabetes and diabetic retinopathy in Asian populations, visual short-term memory as a biomarker for cognitive decline, and visual function in age-related macular degeneration. Key research areas include: Risk factors and interventions for diabetes in South Asians and Chinese patients Efficacy of paper-based visual function tests for home monitoring Barriers to diabetic awareness among South Asians in the UK Ocular complications of UV and blue light exposure Use of visual short-term memory tests for early dementia screening Dr. Sapkota's publication portfolio demonstrates consistent contributions to high-impact journals across ophthalmology, public health, and cognitive neuroscience. Recent work shows increasing focus on ethnic health disparities in diabetes management, pandemic-related healthcare disruptions, and translational applications of visual cognition research. His collaborative approach spans institutions in the UK, Nepal, India, China, and Thailand. Scientific recognition includes: Anglia Ruskin University VC’s award for Outstanding Research Impact and Innovation (team, 2020) Best paper presentation award at Anglia Ruskin University research conference (2010) As a research supervisor, Dr. Sapkota has completed one PhD project ( Effect of environmental stress on diabetic cornea ) and currently co-supervises another ( Visual short-term memory binding as a screening tool for early cognitive decline in dementia ). He has mentored over a dozen research interns, generating multiple collaborative publications. His grant portfolio demonstrates consistent funding success, including ARU Health grants (2022), Global Challenge Research Fund (2018), and multiple university-level studentships and travel awards since 2008. Working within the Vision and Eye Research Institute, Dr. Sapkota contributes to interdisciplinary teams addressing vision science challenges through collaborations with the British Congress of Optometry, Association of Research in Vision and Ophthalmology, and international healthcare systems.