جست‌وجوی استاد و پژوهشگر

Leonidas Doumasمشاهده پروفایل

مدرس ارشد

• Analogy
• Relational Reasoning
• Mental Representation
• +۳ مورد دیگر

Leonidas Doumas is a Senior Lecturer in Psychology at the University of Edinburgh’s School of Philosophy, Psychology and Language Sciences. He holds a PhD in Cognitive and Developmental Psychology from UCLA and has held academic positions at Indiana University and the University of Hawaii before joining Edinburgh in 2013. His research focuses on relational reasoning, analogy, cognitive development, and computational modelling, particularly exploring how distributed systems like neural networks represent and generalize relational concepts. He teaches courses in developmental science, cognitive science, and statistics, and actively supervises PhD students in these areas. Dr. Doumas’s work combines empirical studies with computational models to investigate topics such as cross-domain generalization, relational learning in children and adults, and the role of structured representations in cognition. His research also employs neuroscientific techniques like EEG and TMS to understand cognitive processes. He is a core member of the Edinburgh Cognitive and Neuroethology Lab (CNE) and leads initiatives in immersive virtual reality (VR) for neuropsychological assessment, such as the Virtual Reality Everyday Assessment Lab (VR-EAL). His educational background includes a PhD under John Hummel, Keith Holyoak, and Cathy Sandhofer at UCLA, followed by postdoctoral training in Linda Smith’s lab at Indiana University. His current projects emphasize the intersection of symbolic and connectionist approaches to cognition, with a focus on how structured representations emerge through experience. Research Interests: Relational learning, analogy, cognitive development, computational modelling, neural networks, and VR applications in cognitive science Teaching: Year 1/2 Psychology courses, Cognitive Science, and advanced options on neural networks and induction Advising: Open to PhD/MSc students interested in relational cognition, computational models, or VR applications Publications span topics from neural network limitations in language processing to mechanisms of hierarchical linguistic structure, with a focus on bridging computational and empirical cognitive science.

• Cognitive Psychology
• Attention
• Perception
• +۶ مورد دیگر

Daniel Pearson is a cognitive psychologist at the School of Psychology, University of Sydney , where he has been a faculty member since 2023. His research focuses on how learned experiences and reward-related stimuli (e.g., monetary, food-related, or drug-related cues) influence perception, selective attention, and cognitive control. Education: Bachelor of Advanced Science (Psychology), UNSW Sydney, 2011 Master of Psychology (Clinical), UNSW Sydney, 2019 PhD in Psychology, UNSW Sydney, 2019 His work employs behavioral, eye-tracking, and electrophysiological techniques to investigate the cognitive and neural mechanisms of visual cognition, with applications in real-world contexts (e.g., designing alerts and warnings) and psychopathology (e.g., substance use disorders, compulsive behaviors). Recent research highlights interactions between reward processing, attentional capture, and decision-making, particularly in anxiety and schizophrenia. Scientific Awards: Combined PhD/Clinical Masters Thesis Prize, UNSW, 2019 Dean's Award for Outstanding PhD Thesis, UNSW, 2019 Faculty of Science Writing Scholarship, UNSW, 2019 School of Psychology Award, Postgraduate Research Competition, UNSW, 2017 Research Training Program Scholarship, 2015-2019 Academic Achievement Award, UNSW, 2008 Current research students: Amy CHONG’s project explores the relationship between attention and psychological disorders using a transdiagnostic approach. Dr. Pearson has received the 2023 New Academic Hire Start Up Funding to support his research at the University of Sydney.

• Neuroscience
• Cognitive Psychology
• Visual Perception
• +۳ مورد دیگر

Dr Katarzyna Jaworska is a Researcher affiliated with the School of Psychology & Neuroscience at the University of Glasgow. Her research focuses on visual perception, neural processing mechanisms, and the effects of aging on cognitive functions. She has collaborated extensively with experts like Philippe G. Schyns and Robin A.A. Ince. Key research interests include neural network dynamics, computational modeling of brain processes, and the interplay between visual features and behavioral outcomes. Her work bridges neuroscience and psychology, addressing topics such as face recognition delays in aging populations and the fluctuations of visual awareness in perceptual phenomena like binocular rivalry and motion-induced blindness. Jaworska’s publications (2011–2022) frequently explore electrophysiological timing, neural representation of social signals, and the computational foundations of perceptual decisions. No scientific awards are explicitly listed, though her impactful contributions reflect active engagement in the field.

• Visual Neuroscience
• Cognitive Neuroscience
• fMRI and Brain Imaging
• +۳ مورد دیگر

Lars Muckli is a Professor of Visual and Cognitive Neurosciences and Director of fMRI at the Centre for Cognitive Neuroimaging (CCNI) at the University of Glasgow. He is also Co-chair of the 7T-Imaging Center of Excellence (ICE). His research focuses on brain imaging techniques, cortical feedback mechanisms, layer-specific fMRI analysis, and computational neuroscience. He has led major initiatives like the ERC Consolidator Grant on 'Brain reading of contextual feedback and predictions' and contributed to the Human Brain Project (HBP). He holds a PhD from Goethe University Frankfurt (2002) and has worked at the Max-Planck Institute for Brain Research (1996–2007). Notable contributions include pioneering layer-specific fMRI studies, advancing predictive coding theories, and developing imaging techniques like line-scanning fMRI. His work spans multispecies studies, combining rodent and human neuroscience to model object recognition using deep networks constrained by multi-level data. Publications emphasize feedback signals in visual cortex, contextual processing, and cross-modal sensory integration. Key findings include evidence of predictive signals in V1 and decoding sounds in early visual cortex of blind individuals. His research bridges cognitive theories with neurobiological mechanisms, leveraging advanced imaging and computational methods.

• Immersive Education
• Neurodiversity Studies
• Cognitive Psychology
• +۳ مورد دیگر

Dr Sarune Savickaite is an early career researcher and Lifelong Learning Tutor at the University of Glasgow's School of Psychology & Neuroscience, with expertise in immersive education, neurodiversity, and cognitive psychology. She holds an affiliate role in the School and contributes to External Relations as a tutor. Her work emphasizes inclusive education and innovative teaching methodologies, particularly leveraging virtual reality (VR) technologies. Key contributions include co-organizing the AVRA conference and collaborating with Meta on the SEER Project to advance immersive education. She has secured grants, including the 2024 Great Britain Sasakawa Foundation award for interdisciplinary workshops on interoceptive awareness. Her research spans VR applications in autism research, cognitive perception studies, and neurodiversity-inclusive design. Dr Savickaite actively publishes in journals like i-Perception and Journal of Enabling Technologies , focusing on topics such as synesthesia simulation, animacy perception, and VR-based pedagogy. Education: Details not explicitly stated in the provided texts. Her research interests center on bridging cognitive science and educational technology, with a focus on how immersive environments can enhance learning for neurodiverse populations. Notable projects include the XRed initiative exploring future immersive education frameworks and studies on VR's role in understanding individual differences in visual processing and empathy. Publications highlight her work on VR applications in autism research, including collaborative efforts to define VR taxonomies and participatory action research methodologies. She also investigates creativity measurement in neurodivergent populations and the ethical implications of avatar design in VR. Grants: Interdisciplinary Workshops on Interoceptive Awareness (2024), funded by the Great Britain Sasakawa Foundation. Dr Savickaite is involved in collaborative projects like the SEER initiative, which scopes extended educational realities, and contributes to lab-based research such as the ALIVE project assessing avatar learning impacts in virtual environments.

• Neuroscience
• Cognitive Science
• Psychology
• +۳ مورد دیگر

Yuening Yan is a Researcher at the University of Glasgow, affiliated with the School of Psychology & Neuroscience. Their work focuses on understanding neural mechanisms underlying visual perception, decision-making, and emotion recognition. Key research areas include facial emotion processing, neural pathways for categorization, and the role of predicted information in decision behavior. Recent studies explore how dynamic facial movements are processed in the brain for emotion categorization via novel pathways, and how neural network communications enhance visual categorization efficiency. Collaborations with researchers like Philippe G. Schyns and Robin A.A. Ince highlight interdisciplinary approaches to cognitive neuroscience. No scientific awards are explicitly mentioned, but their publications in high-impact journals like PNAS and Current Biology indicate significant contributions to the field. Supervision details note Philippe G. Schyns as a supervisor, suggesting prior or ongoing mentorship roles.

Alexander Lerchمشاهده پروفایل

دانشیار

• Music Information Retrieval (MIR)
• Signal Processing
• Machine Learning
• +۳ مورد دیگر

Alexander Lerch is an Associate Dean of Research and Creative Practice and Associate Professor at the School of Music, Georgia Institute of Technology. He joined Georgia Tech in 2013 and teaches courses in music signal processing, computational music analysis, audio technology, and software engineering. Previously, he was Head of Research at zplane.development, a music technology licensing company. His research focuses on Music Information Retrieval (MIR), blending signal processing, machine learning, music psychology, and systematic musicology. He leads the Music Informatics Group, developing AI-driven tools for music generation, production, and consumption. Lerch authored over 40 peer-reviewed papers and the textbook An Introduction to Audio Content Analysis , accompanied by open-source libraries like libACA and pyACA. Recent work emphasizes generative models, source separation, and audio quality assessment. He actively contributes to conferences such as ISMIR and presents keynote lectures on AI in music and creative expression.

Scott Smallwoodمشاهده پروفایل

استاد

• Music Composition
• Electroacoustic Music
• Sound Art
• +۵ مورد دیگر

Scott Smallwood is a Professor of Music Composition and Sonic Arts at the University of Alberta's Faculty of Arts, where he also directs the Sound Studies Institute. His roles include Director of the Sound Studies Institute and teaching courses in composition, electroacoustic music, and sound art. He holds degrees from Seattle Pacific University, Miami University, Peabody Conservatory, and Princeton University, where he served as a postdoctoral researcher with the Princeton Laptop Orchestra (PLOrk). Research focuses on sound art, acoustic ecology, field recording, and interactive technologies. Notable projects include the UNPOP Burning Man installation, audio game development (e.g., The Lost Garden ), and solar-powered sound installations like Coronium 3500 . Collaborations include work with artists like Stephan Moore (Evidence duo), Jen Mesch, and Vadim Bulitko. His work spans 8-channel electroacoustic compositions, site-specific installations, and audiovisual games. Recent exhibitions include Inter Mundos (2023-2024) and Held on for Dear Life (2024). Active in academic publishing, he explores topics like sonic interventions at Burning Man and ethical dimensions of digital identity in Your Data Body (2024). Education: PhD (Princeton), MMus (Peabody), MMus (Miami), BA (Seattle Pacific) Grants: Supported by Canada Council for the Arts, SSHRC, and Alberta Foundation for the Arts Labs/Teams: Audio Games Lab, Solarsonics Initiative

Daniela Balslevمشاهده پروفایل

مدرس

• Cognitive Neuroscience
• Spatial Attention
• Spatial Neglect
• +۴ مورد دیگر

Dr. Daniela Balslev is a Lecturer and Researcher in the School of Psychology and Neuroscience at the University of St Andrews. Her research focuses on sensorimotor processes underlying spatial attention and disorders like spatial neglect. She combines neuroimaging (fMRI) and neurostimulation (TMS) to study how eye proprioception (oculoproprioception) influences visual localization and attentional mechanisms. Her work addresses clinical conditions such as strabismus and neglect, with a focus on developing therapeutic interventions. Key research areas include oculomotor control, spatial neglect rehabilitation, and the neural mechanisms of eye dominance. She leads a lab investigating proprioceptive contributions to eye alignment and has pioneered methods to study oculoproprioception in humans. Collaborations span institutions like the University of Glasgow and NHS Fife, with grants from the MRC and Wellcome Trust. Scientific awards include the Magstim/University of Oxford Young Investigator Award and the Attempto Prize. Her lab currently explores strabismus mechanisms and the role of proprioception in ocular alignment using ultra-high-field fMRI and behavioral studies. Supervised students include Pei Wu, studying motor eye dominance mechanisms.

• Unconventional reservoirs
• Coalbed methane
• Reservoir simulation
• +۲ مورد دیگر

Christopher Clarkson is Professor and Associate Head in the Department of Earth, Energy and Environment at the University of Calgary. He holds PhD and MASc degrees from University of British Columbia and directs research on unconventional reservoirs. Research Focus: His program investigates coalbed methane storage, hydraulic fracture characterization, and reservoir simulation for tight oil/gas systems. Core methodologies include rate-transient analysis and nanopore structure characterization. Awards: ASTech Innovation Award (2017) SPE Distinguished Lecturer (2009) Alfred Noble Prize (2005) Publications: 200+ papers on production analysis of shale reservoirs, with recent work focusing on flowback modeling and enhanced recovery techniques.

Corrado Sinigagliaمشاهده پروفایل

استاد

• Philosophy of Science
• Cognitive Neuroscience
• Social Cognition

Corrado Sinigaglia is Professor of Philosophy of Science at the State University of Milan. He leads the CIA Lab and is affiliated with virtual ABCLabs 6.0. His research bridges philosophy, neuroscience, and social cognition, with a focus on mirror neuron mechanisms, embodied cognition, and interpersonal coordination. His publications explore neurocognitive foundations of social interaction, including EEG/TMS studies on joint action, emotion mirroring, and intentionality. Recent work investigates computational models of collective goals and clinical applications in schizophrenia.

• Attention
• Memory
• Perception and Action
• +۳ مورد دیگر

Dr. Irene Reppa is a Senior Lecturer in the Department of Psychology at Swansea University , with a D.Phil. from Bangor University. She previously served as a Research Officer at Bangor before joining Swansea in 2003. Her research spans four core areas: Object Recognition (focusing on shape and surface properties), Object-Based Attention and Memory (inhibitory mechanisms), Perception and Action (information extraction guiding behavior), and Aesthetic Appeal (impact on performance and cognition). Her work has received funding from Unilever SR-Research Ltd. Economic and Social Research Council (ESRC) Leverhulme Trust Wales Institute for Cognitive Neuroscience Engineering and Physical Sciences Research Council (EPSRC) She is affiliated with the Awen Institute at Swansea University and supervises PhD students in object perception, aesthetics, and mindfulness. Her teaching includes modules on cognition, aesthetics, and independent research projects.

Andrew Glennersterمشاهده پروفایل

استاد

• 3D Vision
• Spatial Navigation
• Virtual Reality
• +۲ مورد دیگر

Andrew Glennerster is Professor of Visual Neuroscience at the University of Reading's School of Psychology and Clinical Language Sciences. His research investigates 3D vision, spatial navigation, and motor control using immersive virtual reality. Key interests include the neural representations underlying perception in freely moving observers and computational models of navigation. Research combines VR technology, psychophysics, and computational neuroscience to explore how humans perceive and interact with 3D environments. Collaborations focus on spatial updating, neural coding, and behavioral analysis in non-Euclidean spaces. Lab members include researchers in perception, computational modeling, and VR development. Current work emphasizes policy networks in 3D vision and applications in VR display technology.

Bettina Forsterمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Clinical Neuroscience
• Somatosensory Processing
• +۱۲ مورد دیگر

Professor Bettina Forster is a leading cognitive neuroscientist at City, St George's University of London, where she holds a professorship in the Department of Psychology within the School of Health Sciences. She co-leads the Centre for Clinical, Social and Cognitive Neuroscience and is actively engaged in research, teaching, and academic leadership. Her work is supported by major funders including the BBSRC, Leverhulme Trust, and Wellcome Trust. Research Interests: Her research focuses on the brain mechanisms underlying body perception, touch, and embodied cognition. She employs EEG and ERP techniques to study how attention, emotion, and social context shape somatosensory processing. Her work has identified key neural markers such as the Late Somatosensory Negativity (LSN) and N140cc, and she has pioneered methods to isolate somatosensory activity from visual influences. She investigates how we perceive our own and others’ bodies and emotions, with implications for mindfulness, autism, and clinical psychology. Publication Trends: Her recent publications (2022–2025) reflect a strong focus on emotion perception, vicarious touch, and the role of the somatosensory cortex in social cognition. She frequently uses ERP methodology to explore how facial expressions engage body representations, with growing interest in individual differences (e.g., alexithymia) and developmental conditions (e.g., autism). Her work bridges cognitive, clinical, and social neuroscience, demonstrating a consistent trajectory toward understanding the neural basis of embodied social interaction. Scientific Awards: Staff Research Prize for excellence in research (£1000), City University London (December 2007) Research Supervision and Funding: Professor Forster supervises current PhD students including Hana Villar, Carmen Kohl, and Alejandro Galvez-Pol. Her former students include Silvia Goss, Alexander Jones, and Chiara F. Sambo. She has secured significant research grants, including a Leverhulme Trust award (£216K) on neurometric measures of decision-making and BBSRC funding (£371K) on tactile spatial orienting. She has also received internal pump-priming awards for projects on the bodily self and aesthetic perception. Research Centre: She co-leads the Centre for Clinical, Social and Cognitive Neuroscience, a hub for interdisciplinary research on brain, behavior, and mental health, fostering collaboration across psychology, neuroscience, and clinical practice.

Hans-Peter Seidelمشاهده پروفایل

استاد

• Computer Graphics
• Neural Rendering
• High Dynamic Range Imaging
• +۷ مورد دیگر

Hans-Peter Seidel is a leading researcher in computer graphics at the Max Planck Institute for Informatics, part of the Max Planck Society. His work focuses on advancing the frontiers of image synthesis, neural rendering, and computational photography, with a strong emphasis on high dynamic range imaging, inverse rendering, and perception-aware graphics techniques. His research interests span a broad spectrum of computer graphics and vision, including neural radiance fields, Monte Carlo denoising, image deblurring, and visual perception modeling. He has made significant contributions to real-time rendering, HDR image generation, and uncertainty-aware AI for scientific applications. His lab collaborates closely with experts in rendering, perception, and machine learning, pushing the boundaries of what is possible in digital image creation and manipulation. The most recent publications reveal a strong trend toward integrating deep learning with traditional graphics pipelines, particularly through differentiable rendering, neural fields, and adversarial training. His work frequently appears in top venues such as SIGGRAPH, ACM Transactions on Graphics, and Computer Graphics Forum, reflecting sustained impact and innovation in the field. Hans-Peter Seidel has not been publicly associated with any formal scientific awards in the provided text. However, his extensive publication record and leadership at a premier research institute underscore his influential role in the academic community. While there is no explicit mention of student advising or grant funding in the provided material, his collaborative publications with junior researchers suggest active mentorship. His work is likely supported by institutional funding from the Max Planck Society, enabling long-term, high-risk research in computer graphics and AI. He is part of a vibrant research group at the Max Planck Institute for Informatics, specializing in computer graphics. The team works on cutting-edge problems in rendering, perception, and machine learning, often bridging the gap between theoretical innovation and practical applications in virtual reality, computational photography, and scientific visualization.