جست‌وجوی استاد و پژوهشگر

Steven Sweldensمشاهده پروفایل

استاد

• Consumer Behavior
• Marketing
• Psychology of Advertising
• +۴ مورد دیگر

Prof. Dr. Steven Sweldens is a Professor of Consumer Behavior and Marketing at the Rotterdam School of Management (RSM), Erasmus University Rotterdam. He holds a PhD in Marketing from Erasmus University (2009) and has held academic roles at INSEAD and RSM. His research focuses on psychological mechanisms underlying advertising, brand attitudes, and decision-making. Notable contributions include pioneering work on evaluative conditioning and its applications in marketing. He has been awarded the EMAC McKinsey Award, runner-up AMA John A. Howard Award, and multiple teaching accolades including the RSM Dean’s Innovative Teaching Award (2018). His case studies on Renova Paper and TomTom have gained international recognition, earning top awards. Education: PhD in Marketing, Erasmus University (2009) Affiliations: Fellow of Erasmus Research Institute of Management (ERIM), RSM Faculty Member Teaching: MBA/EMBA marketing core courses at RSM; MBA/social psychology courses at INSEAD Research Interests: Explores unconscious processes driving consumer behavior, including evaluative conditioning, brand attitude formation, and self-control dynamics. His work bridges marketing, psychology, and organizational behavior, with publications in top-tier journals like Journal of Consumer Research and Journal of Personality and Social Psychology . Grants & Awards: Multiple teaching awards (INSEAD/RSM), case study honors (Case Center, 2012/2021), and recognition for doctoral research (EMAC McKinsey Award). Active in doctoral supervision across marketing science, consumer behavior, and neuroscience. Labs/Teams: Leads research groups in consumer behavior, with a focus on unconscious processes and decision-making Future Work: Expanding studies on numerical cognition's role in consumer ambiguity aversion and cross-domain self-control

Alain Contentمشاهده پروفایل

استاد

• Visual word recognition
• Auditory word recognition
• Reading acquisition
• +۷ مورد دیگر

Dr. Alain Content is a Full Professor at the Faculty of Psychology and Education of the Université libre de Bruxelles , where he conducts research at the Laboratoire Cognition, Langage & Développement (LCLD) , part of the Centre de Recherche Cognition et Neurosciences (CRCN) . Specializes in lexical access , visual/auditory word recognition , and reading disorders Current projects explore perceptual units in visual words through behavioral/neuroimaging studies and numerical cognition with collaborators like Florence Gabriel and Denes Szücs Developed fraction-learning games with education colleagues to enhance classroom engagement His research spans implicit/explicit knowledge dynamics, syllabic structure effects, and language-schooling interactions in arithmetic. Key methodologies include fMRI , EEG , and behavioral experiments . Recent publications focus on cross-linguistic reading proficiency , Chinese character recognition , and numerosity processing in educational contexts. Collaborations with Mathieu Guillaume and Fabienne Chetail investigate neural markers of numerical intuition and arithmetic problem-solving .

Justin Rombergمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Optimization
• +۳ مورد دیگر

Justin Romberg is the Schlumberger Professor and Associate Chair for Research in the School of Electrical and Computer Engineering at Georgia Tech, and serves as Associate Director for the Center for Machine Learning. He holds a B.S.E.E., M.S., and Ph.D. from Rice University, followed by postdoctoral work at Caltech and visiting roles at UCLA and the Laboratoire Jacques-Louis Lions. His research bridges signal processing, machine learning, optimization, and applied probability, with notable contributions to imaging inverse problems, data compression, and broadband beamforming. Dr. Romberg has received prestigious awards including the ONR Young Investigator Award (2008), PECASE (2009), Packard Fellowship (2009), and IEEE Fellowship. His recent work emphasizes real-time RF emulation, neural adjoint methods for sound speed learning, and decentralized optimization frameworks. Current projects include radar signal processing, multi-agent reinforcement learning, and hardware-friendly sparse neural networks. His lab focuses on translating theoretical insights into practical systems, such as low-bit beamforming accelerators and medical monitoring devices using MEMS sensors.

Alexander Williamsمشاهده پروفایل

دانشیار

• Philosophy of Language
• Semantics
• Syntax
• +۷ مورد دیگر

Alexander Williams is an Associate Professor in the Departments of Linguistics and Philosophy at the University of Maryland, College Park. He is also a member of the Maryland Language Science Center. His research focuses on the intersection of semantics, syntax, and philosophy of language, with special attention to event structures, argument relations, and their acquisition and processing in human cognition. Key areas include syntactic bootstrapping in child language, event perception, and formal semantic analysis of quantifiers and control structures. Williams’ work spans theoretical linguistics and empirical psycholinguistics. He has explored how children infer word meanings through syntactic cues, the cognitive limits of visual event representation (e.g., 4-participant trade events), and the psychological reality of syntactic theories like restricted quantification. He co-leads the NSF-funded project Transitivity of Sentences and Scenes in Early Language Development , involving collaborations with students and researchers like Laurel Perkins and Tyler Knowlton. His teaching includes graduate courses on semantics and syntax, and undergraduate philosophy of language. He has advised over 20 graduate students and served on numerous dissertation committees, fostering a vibrant research community in language sciences. Key contributions include redefining event semantics, challenging traditional views of thematic relations, and advancing methodologies for studying implicit control in sentence processing. His work bridges formal analysis with experimental rigor, influencing both linguistic theory and cognitive science.

Chris Lehnertمشاهده پروفایل

مدرس ارشد

• Agricultural Robotics
• Robotic Perception
• Grasping Systems
• +۴ مورد دیگر

Dr Chris Lehnert is a Senior Lecturer at the Queensland University of Technology (QUT) within the Faculty of Engineering, School of Electrical Engineering & Robotics. With over a decade of experience, he specializes in robotic perception and grasping systems, particularly in agricultural robotics. His research focuses include Robotic manipulation in cluttered environments Vertical farming automation Agricultural robotics Dynamic grasping systems He leads projects like 'Moving to See' and 'Harvey – The Robotic Capsicum Harvester', aiming to revolutionize agricultural automation through advanced robotic solutions. Dr Lehnert's publications and supervised research emphasize cooperative learning algorithms and 3D shape completion for harvesting tasks. He collaborates with prominent researchers including Peter Corke and Niko Sünderhauf, advancing practical applications in indoor cropping systems.

• Second Language Acquisition
• Language Aptitude
• Working Memory
• +۴ مورد دیگر

Şebnem Yalçın is an Associate Professor in the Department of Foreign Language Education within the Faculty of Education at Boğaziçi University, Istanbul. She holds a Ph.D. in Curriculum, Teaching and Learning from the University of Toronto, an M.A. and B.A. in Foreign Language Education from Boğaziçi University. Her research examines the interplay between individual cognitive differences (working memory, language aptitude) and second language acquisition processes, with emphasis on content-based instruction, form-focused instruction, and task design. She investigates grammatical complexity, implicit/explicit knowledge systems, and classroom-based interventions. Yalçın has organized international conferences and secured research grants including Boğaziçi University Research Fund awards for projects on working memory's role in language aptitude and aptitude test validity. She teaches courses on Teaching English as a Foreign Language, Language Awareness, and English Composition. Her honors include multiple University of Toronto research travel grants (2010-2012), a Graduate Funding Grant (2007-2012), and an undergraduate scholarship from the Bursa Chamber of Commerce (1998-2002).

Greg Neilمشاهده پروفایل

پژوهشگر ارشد

• Learning and Memory
• Forensic Psychology
• Biometrics
• +۳ مورد دیگر

Greg Neil is a Research Fellow at Solent University, serving as the Social Sciences and Nursing Research Group Convenor and a member of the Wellbeing and Applied Research in Psychology (WARP) team. He holds a PhD from the University of Southampton (2011), focusing on bridging learning and memory theories. His research spans forensic psychology, cognitive processes, biometrics, and metacognition, with a focus on memory accuracy in legal contexts, vocal and facial recognition, and implicit learning models. He employs signal detection theory and ROC analysis in his methodologies. Key areas of research include eyewitness testimony reliability, vocal identity processing challenges, and the application of machine learning in biometric studies. Collaborative projects like the SuperIdentity initiative highlight his work in multimodal biometric systems and cybersecurity. His publications (20+ articles) reflect contributions to forensic science, cognitive psychology, and interdisciplinary cybersecurity analysis. Neil’s work emphasizes the intersection of human and computational approaches to recognition tasks, such as iris identification and hand dimension analysis. His findings on misinformation effects on memory and judgment underscore contributions to applied psychology and legal evidence evaluation.

Bram Van Bockstaeleمشاهده پروفایل

پژوهشگر ارشد

• Cognition-Emotion Interactions
• Cognitive Biases
• Emotion Regulation
• +۵ مورد دیگر

Bram Van Bockstaele is an Honorary Research Fellow at the School of Psychological Science, University of Western Australia, affiliated with the Centre for the Advancement of Research on Emotion. He holds a Master’s in Theoretical and Experimental Psychology (Ghent University, 2007) and a PhD in Psychological Science (Ghent University, 2011). His research focuses on cognition-emotion interactions, particularly cognitive biases (attention, interpretation, action tendencies, memory), emotion regulation, fear, anxiety, addiction, aggression, mindfulness, and lie detection. Key research areas include: Interplay between cognitive biases and emotional responses Development of psychometric tools for assessing social anxiety Mindfulness’s role in post-traumatic stress vulnerability Intergenerational transmission of anxiety via parental communication His work contributes to UN Sustainable Development Goals related to mental health and well-being (SDG 3). Collaborations span institutions like Ghent University, University of Amsterdam, and University of Utrecht. He has published over 49 peer-reviewed articles and contributed datasets to Figshare. His research emphasizes translational applications in clinical and educational settings. Notable datasets include studies on interpretation bias mediation and post-traumatic stress vulnerability. He has explored cognitive bias modification techniques for anxiety and aggression reduction. Current projects investigate trauma exposure in students and emotion regulation strategies.

Ritske Jongمشاهده پروفایل

استاد

• Cognitive Psychology
• Attention Mechanisms
• Electroencephalography
• +۲ مورد دیگر

Ritske Jong is a Professor in Experimental Psychology at the Faculty of Behavioural and Social Sciences. His research utilizes electroencephalography (EEG) to explore cognitive mechanisms underlying attention, task-switching, and time perception. He investigates neural correlates of performance variability and decision-making under cognitive constraints. Research Focus: Jong's work spans attentional bias, temporal processing, and neurocognitive modeling. Key themes include EEG signatures of time perception, resit exam effects on learning investment, and implicit temporal regularities. His lab employs behavioral experiments and neuroimaging to dissect cognitive control mechanisms. Publication Trends: Recent articles (2017–2022) cluster in three domains: 1) EEG-informed temporal cognition studies, 2) attentional processing in learning environments, and 3) computational modeling of cognitive tasks. Cross-disciplinary collaborations extend to healthcare technology and educational psychology.

Brian Andersonمشاهده پروفایل

استاد

• Affective Science
• Cognitive Neuroscience
• Attentional Control
• +۵ مورد دیگر

Brian Anderson is the Charles Puryear Professor of Liberal Arts at Texas A&M University, affiliated with the Department of Psychology and the Institute for Neuroscience. His research focuses on how learning shapes attentional control mechanisms, employing methodologies like human psychophysics and fMRI. Key areas include threat habituation in workplace accidents, implicit bias, and the neurocognitive basis of attentional prioritization. Research interests span affective science, value-driven attention, and threat-related biases. Notable work explores how reward/punishment histories modulate attentional capture and how these processes contribute to addiction and psychopathology. Collaborative projects address real-world applications like reducing construction worker accident risks via virtual reality interventions. Recent publications emphasize attentional theories (e.g., 'Trichotomy revisited'), workplace safety ('Attention failures cause accidents'), and neural correlates of value-driven attention. His work bridges basic cognitive science with applied contexts, including transportation safety and mental health. Scientific Awards: APS Fellow, Charles Puryear Professorship Affiliations: Institute for Neuroscience, Learning & Attention Lab Director Lab Focus: Virtual reality experiments, oculomotor tracking, fMRI studies

Peter Kvamمشاهده پروفایل

استادیار

• Decision-making
• Cognitive modeling
• Bayesian statistics
• +۷ مورد دیگر

Dr. Peter Kvam is an Assistant Professor in the Department of Psychology at The Ohio State University, leading the Cognition & Decision Modeling Laboratory. His research focuses on decision-making processes, cognitive modeling, Bayesian statistics, and applications of artificial intelligence and machine learning. He explores dynamic decision environments, disordered decision-making in substance dependence, and computational methods to understand cognitive processes. His work integrates interdisciplinary tools from economics, neuroscience, and computer science to model human behavior. Current projects include studying polarization in decision-making, the role of goals in preference formation, and leveraging AI for model development and analysis. Peter collaborates with researchers on topics ranging from quantum cognition to evolutionary decision strategies. He advises graduate students such as Abhay Alaukik and Anderson Fitch, who investigate political psychology, computational modeling, and behavioral interventions. The lab actively recruits students interested in decision science and cognitive modeling. Key research themes include the development of evidence-accumulation models, preference dynamics, and the application of machine learning to small-sample preference assessment. Peter’s work bridges theoretical models with empirical data to address real-world challenges in health, environment, and social dynamics.

• Cognitive Neuroscience
• Motor Learning
• Motor Control
• +۵ مورد دیگر

Dr. Li-Ann Leow is a Lecturer in Psychology at Edith Cowan University’s School of Arts and Humanities, specializing in cognitive neuroscience of motor learning and motor control. She teaches PSY2105 - Psychology of Personality and Individual Differences and PSY1210 - Biopsychology, Sensation and Perception . Dr. Leow is a member of the Australian Cognitive Neuroscience Society, Australian Brain Stimulation Society, and Society for Neuroscience. Her research focuses on sensorimotor adaptation mechanisms, dopamine’s role in learning, and neurostimulation techniques like tDCS. Key themes include implicit vs. explicit motor learning, the impact of auditory cues on movement, and neurochemical modulation of decision-making. Recent grants include the 2025 Edith Cowan University Early-Mid Career Researcher Grant (A$39,780) investigating ageing and sensorimotor adaptation. Dr. Leow has supervised two completed research projects as an associate supervisor: Implicit motor learning to perturbed visual and auditory feedback and The effect of aerobic exercise on brain-derived neurotrophic factor in stroke patients . Her work bridges clinical and cognitive neuroscience, with publications in journals like Journal of Neuroscience , Neuroscience , and Experimental Brain Research .

Johannes Mahrمشاهده پروفایل

استادیار

• Philosophy of Cognitive Science
• Cognitive Psychology
• Philosophy of Memory
• +۱ مورد دیگر

Johannes Mahr is an Assistant Professor in the Department of Philosophy at York University. Previously a postdoctoral fellow at Harvard, he employs theoretical and experimental methods to study human-specific cognition through social practices. His primary research examines episodic memory, imagination, and temporal cognition using interdisciplinary approaches spanning philosophy and psychology. His research focuses on the cognitive architecture of memory systems, mental time travel, and the communicative functions of recollection. Recent work explores how social interactions shape memory formation and the philosophical implications of episodic thought structures. Publications frequently appear in high-impact interdisciplinary journals including Behavioral and Brain Sciences , Perspectives on Psychological Science , and Cognition . His scholarly output demonstrates consistent investigation into the cognitive mechanisms underlying memory and communication.

• Neuroscience
• Psychology
• Brain Function
• +۴ مورد دیگر

Prof. Piia Astikainen is a Professor of Psychology at the University of Jyväskylä's Department of Psychology, affiliated with the School of Wellbeing. Her research investigates brain function principles related to perception, learning, aging, and depression. Current projects include studying social foreign language learning through behavioral and electrophysiological methods (funded by the Research Council of Finland until 2026). Key research areas focus on neural mechanisms of sensory processing, emotional regulation, and cognitive aging. Over 150 peer-reviewed publications span electrophysiological studies of auditory/visual perception, ERP biomarkers for depression, and animal models of sensory memory. Her work bridges clinical and cognitive neuroscience, emphasizing translational applications for mental health interventions. Research highlights include discovering age-related sensory gating deficits in somatosensory systems and identifying ERP signatures distinguishing depressed individuals from controls. Collaborations involve neuroimaging (MEG/EEG) and computational methods like tensor decomposition for ERP analysis. She leads a lab focused on understanding neural plasticity in learning and emotional processing, with training programs for graduate students in neuroscience methodologies.

John Paul Mindaمشاهده پروفایل

استاد

• Cognitive Psychology
• Category Learning
• Concept Formation
• +۳ مورد دیگر

Dr. John Paul Minda is a Professor in the Department of Psychology at Western University and an associate director of the Western Institute for Neuroscience. He holds a PhD from the University of Buffalo and was a Beckman Fellow at the University of Illinois. His research focuses on categorization, concept formation, and their influence on decision-making. He has authored influential books like *The Psychology of Thinking* and *How to Think*. Dr. Minda is renowned for his teaching excellence, receiving the 2020 Dean’s Award for Teaching and the 2023 OUSA Teaching Excellence Award. He directs the Minda Lab, a cognitive psychology group affiliated with the Brain and Mind Institute. The lab studies how people learn categories and how these concepts shape behavior. Funded by NSERC, SSHRC, and Mitacs, the lab has produced over 100 publications. Recent work explores implicit learning, cultural differences in categorization, and mindfulness interventions. Key lab members include PhD students Anthony Cruz and Chelsea McKenzie, and postdoc Priya Kalra. Dr. Minda advises over 20 graduate and undergraduate students, mentoring through grants and collaborative projects. His teaching emphasizes accessibility and innovation, reflected in courses on cognitive psychology. He lives in London, Ontario, and balances academia with running and family life.