جست‌وجوی استاد و پژوهشگر

Jay McClellandمشاهده پروفایل

استاد

• Perception
• Decision Making
• Learning and Memory
• +۶ مورد دیگر

Jay McClelland is the Lucie Stern Professor in the Social Sciences at Stanford University, where he serves as Professor of Psychology and, by courtesy, of Linguistics and of Computer Science. He directs the Center for Mind, Brain, Computation and Technology (MBCT) and is affiliated with multiple interdisciplinary institutes including Bio-X, the Wu Tsai Neurosciences Institute, and the Institute for Human-Centered Artificial Intelligence. Dr. McClelland's research spans multiple domains of cognitive science, with a focus on understanding how cognition emerges from distributed neural processing. His work addresses fundamental questions in perception and decision making, learning and memory, language and reading, semantic cognition, and cognitive development. A newer direction in his laboratory investigates mathematical cognition and reasoning across humans and artificial neural networks. His publications reveal a consistent theme of applying connectionist approaches to understand cognitive phenomena, with recent work exploring the intersection of human cognition and artificial intelligence. McClelland's research demonstrates how neural network models can illuminate both human cognitive processes and the potential pathways for developing more human-like AI systems. Distinguished Scientific Contribution Award, American Psychological Association (1996) Member, National Academy of Sciences (2001-) As an educator, McClelland teaches foundational courses in cognition and mentors doctoral students in psychology and related disciplines. His laboratory provides research opportunities for students interested in computational approaches to cognitive science, with current advisees working on topics ranging from language processing to mathematical cognition. McClelland leads the PDP Lab (Parallel Distributed Processing Lab) and the Center for Mind, Brain, Computation and Technology, which serve as hubs for interdisciplinary research connecting cognitive science, neuroscience, and artificial intelligence.

• Neuroscience
• Neuroimaging
• Sensory-Motor Systems
• +۶ مورد دیگر

Dr. Alessio Fracasso is a Senior Lecturer in the School of Psychology & Neuroscience at the University of Glasgow. His research focuses on sensory-motor and visual systems, employing advanced neuroimaging techniques like MRI/fMRI to study neurophysiological mechanisms. He investigates topics such as schizophrenia, clinical applications of neuroimaging, visual perception, and plasticity. His work bridges fundamental neuroscience with clinical applications, particularly in ophthalmology and neurological disorders. Research Highlights: Leading studies on choroid plexus morphology in schizophrenia and saccadic eye movement control. Advancing understanding of visual cortical organization and neural mechanisms underlying perception. Recipient of grants from the BIAL Foundation (2021–2023) and BBSRC (2019–2022). Supervision & Collaboration: Supervises postgraduate students including Gina Brunner and Katarina Moravkova. Collaborates with researchers in neuroscience, ophthalmology, and computational modeling.

Melissa Kibbeمشاهده پروفایل

دانشیار

• Cognitive Development
• Working Memory
• Object Representation
• +۴ مورد دیگر

Melissa Kibbe is an Associate Professor at Boston University and Director of the Developing Minds Lab. Her research explores how infants, children, and adults process and represent information about objects, focusing on perceptual features, animacy, numerosity, and verbal labels. She investigates cognitive systems like working memory, attention, and decision-making through behavioral and computational methods. Kibbe holds a PhD from Rutgers University. Key research interests include non-symbolic arithmetic in young children, object representation limits in infants, and social categorization strategies. Her work bridges developmental psychology and cognitive science, emphasizing memory-guided planning and the interplay between perception and cognition. Recent studies examine how children reason with mutually exclusive possibilities and the role of socio-economic factors in executive function. Publications highlight topics like episodic-like memory in infancy, catastrophic object representation failures, and the development of precision in arithmetic operations. Kibbe’s lab, the Developing Minds Lab, explores these themes through experimental and computational approaches.

• Cognitive Psychology
• Higher Education
• Cognitive Sciences
• +۲ مورد دیگر

Prof. Dr. Susan te Pas serves as Professor of Cognitive Psychology at Utrecht University's Faculty of Social Sciences and Dean of University College Utrecht. Her research examines cognitive processes in higher education contexts, with expertise spanning visual perception, cognitive neuroscience of numerosity, and human-AI interaction. Her work investigates fundamental perceptual mechanisms through psychophysical and neuroimaging approaches, particularly exploring neural adaptation in quantity perception and temporal aspects of cognition. Research themes also include pedagogical innovation, transformative learning environments, and perceptual foundations of visualization techniques. Recent publications demonstrate consistent focus on numerosity perception adaptation effects, temporal modulation of cognitive processes, and applications in educational visualization. Cross-cutting interests emerge in sensory-cognitive interactions and perceptual expertise development.

Jamie Roitmanمشاهده پروفایل

دانشیار

• executive control
• decision-making
• prefrontal cortex
• +۳ مورد دیگر

Dr. Jamie Roitman is an Associate Professor and Department Head in the Department of Psychology at the University of Illinois Chicago. Their research focuses on the neural mechanisms underlying decision-making, particularly the role of the prefrontal cortex and mesolimbic system in executive control. They investigate how adolescent substance use alters developmental trajectories of brain systems critical for goal-directed behavior. Education: Bachelor of Science (BS), Pennsylvania State University Doctor of Philosophy (PhD), University of Washington Postdoctoral research, Duke University Research interests span neuroscience and behavioral science, with a focus on: Neuropharmacology of addiction Developmental effects of substance exposure Prefrontal cortex function in decision-making Neural coding of reward and risk Recent work emphasizes how adolescent exposure to opioids, cannabinoids, alcohol, and stimulants disrupts normative brain development, particularly in dopamine systems. Their lab employs electrophysiological and behavioral approaches to study these phenomena. Lab information: Visit Jamie Roitman's Decision Lab Website for ongoing projects and methodology details.

Caspar M. Schwiedrzikمشاهده پروفایل

پژوهشگر

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

Dr. Caspar M. Schwiedrzik is a Group Leader at multiple institutes in Göttingen, including the European Neuroscience Institute (ENI), German Primate Center (DPZ), and Max Planck Institute for Multidisciplinary Sciences. He holds affiliations with Georg-August-University Göttingen's Faculty of Biology and Psychology. His research focuses on neural circuits underlying visual learning and cognition, combining neuroimaging, electrophysiology, and primate studies. Education: 2003-2008: Psychology studies at University of Konstanz 2008-2011: PhD at Max Planck Institute for Brain Research, Frankfurt 2012-2016: Postdoc at Rockefeller University, New York Research interests center on how the brain learns and generalizes visual information across time and complexity scales. Key themes include feedforward/feedback neural communication, perceptual memory, and invariant representation formation. Methodologies involve fMRI in humans and electrophysiological recordings in non-human primates. Publications highlight topics like social cognition networks, perceptual learning variability, and prefrontal cortex roles in memory. His work bridges systems neuroscience and cognitive theory, with affiliations in GGNB's Systems Neuroscience and Neurosciences (IMPRS) programs. Current positions include leadership roles at three institutes, emphasizing collaborative, comparative approaches to understanding neural mechanisms of intelligence.

• Indigenous Business
• Aboriginal Tourism
• Marketing
• +۷ مورد دیگر

Skye Akbar is an Enterprise Fellow and Researcher at UniSA Business, University of South Australia, where she actively contributes to research on Indigenous Australian business, tourism, marketing, and sustainability. She is a Research Degree Supervisor and collaborates with national and international scholars. Her work is grounded in Indigenist methodologies, emphasizing ethical research, self-determination, and amplifying Indigenous voices. Research Interests: Skye Akbar's research spans Indigenous business development, Aboriginal tourism in remote Australia, sustainability in Indigenous enterprises, ethical marketing, and inclusive research practices. She investigates how cultural connections, community engagement, and Indigenist frameworks contribute to success and resilience in Aboriginal tourism and business. Her work also critiques mainstream research and sustainability assessment methods, advocating for decolonized approaches that respect Indigenous worldviews. Publication Trends: Her publications from 2012 to 2024 reveal a consistent focus on Indigenous agency, with increasing emphasis on methodological innovation (e.g., Indigenist research, diverse research teams) and interdisciplinary applications (e.g., social life cycle assessment, cognitive linguistics). The research addresses both Australian and global Indigenous contexts, often drawing comparative insights. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: Skye Akbar serves as a Research Degree Supervisor. She has received research grants from the University of South Australia and Ninti One Limited, supporting projects on Aboriginal tourism sustainability and diverse research teams. Labs and Teams: While no formal lab is mentioned, her collaborative work, particularly on the 'Diverse research teams' framework, highlights her leadership in developing reflexive and inclusive research environments. She works within interdisciplinary and cross-institutional teams that integrate Indigenous and non-Indigenous researchers.

• Surface Science
• Nanoclusters
• Superhydrophobic Materials
• +۹ مورد دیگر

Bo Peng is a Visitor (Faculty) at the Department of Applied Physics, Aalto University, specializing in molecular materials research. His work focuses on advanced colloidal structures, nanomaterials, and their applications in energy conversion, sensing, and security. Dr. Peng earned his Doctoral degree in Engineering and Technology from Universiteit Utrecht, awarded on March 11, 2013. His research expertise spans surface science, nanoclusters, superhydrophobic materials, hydrogels, thin films, and MXene materials. His research interests center around the design and self-assembly of anisotropic particles for advanced colloidal structures and materials. He investigates how particle morphology, surface properties, and external stimuli (particularly magnetic fields) can be leveraged to create novel functional materials with applications in electrocatalysis, sensing, and information security. His recent work combines machine learning approaches with materials science to develop magnetoelectric shape recognition systems and adaptive sensitivity mechanisms. Dr. Peng's publication portfolio shows a strong trend toward multifunctional nanomaterials with applications in energy conversion (particularly hydrogen and oxygen evolution reactions), security technologies using nanofiber-based optical systems, and neuromorphic computing interfaces. His work bridges fundamental materials science with practical applications in sustainable technology. Dr. Peng has received research funding from multiple sources including the Academy of Finland and EU Framework Programmes. His current project "Design and self-assembly of anisotropic particles for advanced colloidal structures and materials" (2022-2024) continues his research on colloidal systems. He has supervised three theses and has been active in academic outreach, including an invited talk on "Surface roughness dominated structural memory and memory plasticity via magnetic field-driven particle assembly" in July 2022. His work has received media attention, including coverage of research on magnetic memory in materials published in November 2022.

Laura Solaroliمشاهده پروفایل

دانشیار

• Economics of food systems
• Food safety and nutrition
• Economic performance of agroecology
• +۳ مورد دیگر

Laura Solaroli is an Associate Professor in Agricultural Economics at ISARA Lyon , France, since 2022. She is also a University Lecturer at University of Montpellier , France, since 2015. Her work bridges academic research with applied projects in agroecology, food security, and international cooperation. PhD in Agro-Food Economics and Policies, University of Bologna (2011-2014) MSc in Agriculture, Food and Sustainable Development, University of Montpellier (2011-2012) MSc in Local and International Cooperation, University of Bologna (2006-2009) Bachelor in International and Diplomatic Sciences, University of Bologna (2002-2006) Laura's research focuses on the economic performance of agroecology , food systems transformation , and consumer behavior analysis . She investigates how standardization bodies and certification frameworks influence sustainable food production and distribution. Her recent publications highlight trends in agroecological transitions , innovation processes , and food waste perception biases . Topics span from farm-level economic metrics to policy coherence across Mediterranean nations. 2024 PERFECO project analyzing agroecological farm performance 2023-2026 GO-PEI analysis of European innovation groups Erasmus+ AGRECOFARM developing sustainable diet access projects Laura leads teaching programs on Food Systems Economics , Environmental Classification , and Food Quality Economics at the University of Montpellier. She moderates the Agri’alim Fresk program for third-year students.

• Mathematical Cognition
• Mathematical Identity
• Educational Measurement
• +۷ مورد دیگر

Eivind Kaspersen is an Associate Professor at the Department of Teacher Education , Norwegian University of Science and Technology (NTNU). His research focuses on mathematical cognition, identity, and the application of the Rasch model in educational assessment. He collaborates with colleagues like Trygve Solstad and Magnus Eggen on studies involving conceptual thinking, gender stereotypes, and numeracy. Current Position: Associate Professor, NTNU Research Areas: Mathematical identity, Rasch analysis, fraction comprehension, stereotype effects Contact: eivind.kaspersen@ntnu.no Kaspersen's recent publications explore trends in mathematics education, including eye-tracking methodologies for cognitive analysis, stereotype dynamics in teaching, and digital tools for math learning. His work bridges theoretical frameworks with empirical validation using psychometric models. Key collaborations include studies on non-conceptual thinking (2024), mathematical definitions (2023), and fraction representation transformations (2022). He has presented at international conferences like CERME11 and ICME14, emphasizing teacher training and STEM pedagogy.

Karine Mazensمشاهده پروفایل

دانشیار

• Developmental Psychology
• Mathematical Cognition
• Conceptual Development
• +۳ مورد دیگر

Karine Mazens is an Associate Professor at Grenoble Alpes University, permanently affiliated with the Psychology and NeuroCognition Laboratory (LPNC, CNRS UMR 5105). Her academic base is in the Michel Dubois Building (Office E102), where she conducts research on child development and mathematical cognition. She serves as co-responsible for both the Master in Child Neuropsychology program and LPNC's Development and Learning research team. Her educational background includes a 1999 PhD in Psychology from Université René Descartes (Paris V) focusing on conceptual change in children's naive sound representations, followed by a 2021 HDR (Habilitation à diriger des recherches) from Grenoble Alpes University on conceptual development in children aged 4-12 years. Mazens' research centers on developmental psychology with specific expertise in mathematical cognition and conceptual development. Her work examines how children acquire numerical understanding, with emphasis on arithmetic learning strategies, multisensory interventions for early math education, and addressing socioeconomic disparities in mathematical achievement. She investigates the transition from naive to scientific concepts in biological inheritance and numerical reasoning, often employing experimental paradigms with preschool and early school-aged children. Analysis of her 15 most recent publications reveals a strong focus on practical educational applications, particularly interventions for disadvantaged learners in kindergarten settings. Her work bridges cognitive theory with classroom practice, frequently exploring how perceptual cues, learning materials, and multisensory approaches shape mathematical development. Recurring themes include the mental number line, approximate number system training, and longitudinal tracking of mathematical competencies from early childhood. No scientific awards or major fellowships were documented in the source material. Mazens actively supervises academic training through co-direction of the Master in Child Neuropsychology and holds leadership in research through her HDR certification. She currently directs the TRANSPAM project and a longitudinal cohort study tracking mathematics development in Cycle 1 (elementary school), funded under Pégase Pole Action 4. Her research integrates cognitive psychology with educational practice to develop evidence-based interventions. She co-leads LPNC's Development and Learning team, which investigates conceptual change and learning mechanisms across childhood. Her laboratory work frequently involves experimental studies on numerical cognition, kinship detection, and multisensory perception, often collaborating with researchers in education and cognitive neuroscience to translate findings into classroom applications.

Ian Pennockمشاهده پروفایل

پژوهشگر ارشد

• Color Perception
• Object Perception
• Neuroimaging
• +۳ مورد دیگر

Ian Pennock is a Research Fellow at the University of Sussex, specifically working at the Sussex Vision Lab within the School of Psychology. He works alongside Professor Jenny Bosten and focuses on color and object perception in the visual system using neuroimaging techniques. Dr. Pennock completed his PhD at the Sussex Vision Lab and Sussex Colour Group in 2023. His educational background includes a dual Master's degree from the University of Osnabrück (Artificial Intelligence & Neuroinformatics) and the University of Trento (Cognitive Neuroscience), and a Bachelor's degree in Liberal Arts & Sciences from University College Roosevelt with majors in Cognitive Science, Psychology, and Philosophy. His research primarily investigates how the brain processes color information within the visual system, with a particular focus on how color perception relates to object recognition. Using advanced neuroimaging techniques including ultra-high-field fMRI, he examines how the brain responds to natural scenes and how color information contributes to visual object recognition. His recent work has revealed important insights about food-selective regions in the ventral visual pathway that are also color-biased. Dr. Pennock has presented his research at international conferences including ECVP and the Colour Workshop in Rauschlosshausen, Germany. His work contributes significantly to our understanding of how color and form information are integrated in the brain to create our visual experience of the world.

Marco Zorziمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Computational Modeling
• Numerical Cognition
• +۳ مورد دیگر

Marco Zorzi is a Full Professor at the University of Padua, affiliated with the Department of Psychology. His research focuses on computational cognitive neuroscience, integrating methodologies like computational modeling, neuropsychology, and neuroimaging. Key areas include numerical cognition, reading/dyslexia, and spatial attention. He directs the Computational Cognitive Neuroscience Lab (CCNL), emphasizing interdisciplinary approaches to study cognitive processes in health and disease. His work combines experimental psychology with advanced computational techniques, such as fMRI, fNIRS, and EEG. Notable projects address number processing deficits in dyscalculia, stroke rehabilitation, and the neural bases of attention. Zorzi’s lab also develops tools like SleePyCo for sleep analysis and investigates AI limitations in visual tasks. Publications span topics from stroke recovery dynamics to generative AI’s challenges in numerical perception. Despite no explicitly listed awards, his contributions highlight innovation in computational models of cognitive disorders and rehabilitation strategies. Grants and collaborations underpin his lab’s activities, though specific funding details are not provided here. Zorzi’s lab collaborates internationally, advancing personalized neurocomputational models for literacy and numerical skills. Future work emphasizes bridging AI capabilities with human cognitive mechanisms, particularly in developmental disorders and neurorehabilitation.

Aslı Bahar İNANمشاهده پروفایل

مدرس

• Cognitive Psychology
• Experimental Psychology
• Memory
• +۳ مورد دیگر

Aslı Bahar İNAN is a Lecturer in the Department of Psychology at Çankaya University's Faculty of Arts and Sciences. She previously held full-time positions at Atılım University from 2007-2017. Her research focuses on cognitive psychology, experimental psychology, and memory, particularly exploring topics like numerosity perception, response bias, and contextual effects on perception. Education: She holds a BSc in Electrical & Electronic Engineering (Orta Doğu Teknik Üniversitesi, 2002), MSc and PhD in Cognitive Sciences (Orta Doğu Teknik Üniversitesi's Institute of Informatics, 2005 and 2009, respectively). Research Interests: Her work examines how emotions, feedback, and contextual cues influence numerical and perceptual judgments. Recent studies include investigating the role of emotion in number line estimation tasks and the impact of feedback on numerical perception in individuals with intellectual disabilities. Advising: She has supervised four master’s theses, including studies on autobiographical memory and feedback effects in numerical tasks. She teaches courses such as Cognitive Psychology II, Experimental Design, and the Philosophical Roots of Psychology. Labs/Teams: No specific lab affiliations mentioned, but her experimental work implies collaboration with cognitive neuroscience or behavioral psychology research groups.

Sami Yousifمشاهده پروفایل

استادیار

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

Sami Yousif is an Assistant Professor in the Department of Psychology and Neuroscience at the University of North Carolina, Chapel Hill. He directs the Perception, Cognition, & Development Laboratory (PCDL), focusing on how the mind perceives, represents, and interacts with the world. PhD from Yale University MindCORE Postdoctoral Fellow at University of Pennsylvania B.A. in Psychology from Emory University His research spans spatial cognition, perceptual adaptation, and cognitive development. Key areas include: Spatial perception and topological relations Numerosity estimation and cognitive biases Temporal illusions and randomization behavior Event representation and mechanistic explanations Recent publications focus on spatial-numerical associations, visual adaptation, and perceptual distortions, reflecting PCDL's interdisciplinary approach.