Find Academic Supervisors

• Cognitive Psychology
• Working Memory
• Memory Development
• +4 more

Dr. Candice Morey is a Reader (equivalent to Associate Professor) at Cardiff University's School of Psychology. Her research investigates memory limitations, focusing on verbal vs. non-verbal processing, childhood memory development, and factors influencing working memory. She advocates for open science practices, with materials available via the Open Science Framework. Education: PhD in Psychology, University of Missouri (2007) MA in Psychology, University of Missouri (2003) BS in Psychology (minor in Music), Florida State University (2001) Research Interests: Dr. Morey's work examines why memory lapses occur universally, the fragility of visual memory, and strategies to mitigate memory limits. She studies developmental trajectories in children's memory, comparing cognitive strategies across age groups. Key themes include visuospatial bootstrapping, memory binding, and domain-general resource models of working memory. Publication Trends: Recent articles (2019–2025) emphasize visuospatial memory, cognitive development in children, and executive function training. Her work integrates experimental psychology with developmental neuroscience, frequently employing eye-tracking and cross-lab replications to explore memory retention, interference, and modality-specific processing. Awards: Psychonomic Society Early Career Award (2017) Supervision & Collaboration: Dr. Morey currently advises postgraduate students Molly Delooze, Genevieve Lawson, Teodor Nikolov, and Helena Leach. She collaborates internationally with researchers from the University of Geneva, University of Edinburgh, and University of Missouri, among others. Professional Roles: She serves as Deputy Exam Board Chair and teaches courses on memory theory, research methods, and cognitive psychology. Dr. Morey is Editor-in-Chief of the Journal of Cognition and holds editorial roles at Memory & Cognition and Psychological Science.

Michelle MirandaView profile

Assistant Professor

• Bayesian Statistics
• Machine Learning
• Neuroimaging
• +4 more

Michelle Miranda is an Assistant Professor in the Department of Mathematics and Statistics at the University of Victoria (UVic), Faculty of Science. She joined UVic in 2019. Previously, she conducted postdoctoral research at MD Anderson Cancer Center under Jeffrey S. Morris (2016–2019) and at the University of São Paulo’s Center for Neuromathematics under Antonio Galves (2014–2016), supported by a FAPESP scholarship. She earned her PhD in Statistics from the University of North Carolina at Chapel Hill (2014), advised by Joseph G. Ibrahim and Hongtu Zhu, with a focus on Bayesian analysis of neuroimaging data. She also holds a Fulbright Scholarship (2008). Her research emphasizes Bayesian functional regression models for high-dimensional neuroimaging data, including fMRI activation signatures and functional connectivity. She teaches courses such as STAT 260 (Probability/Statistics), STAT 453 (Design of Experiments), and STAT 558 (Advanced Experimental Design). Key research interests include Bayesian methods, neuroimaging analysis, and applications in medical diagnostics. Her work bridges statistical theory and clinical neuroscience, with recent focus on multi-subject brain activation patterns and imaging biomarkers. Her scientific awards include the FAPESP Postdoctoral Scholarship and Fulbright Scholarship. She actively contributes to academic service through teaching and advising, though specific student names are unlisted here. She maintains a lab within UVic’s Mathematics and Statistics department, focusing on interdisciplinary projects combining statistics and neuroscience. Her office is located in the David Turpin Building, A543.

Athanasios ProtopapasView profile

Professor

• Reading Fluency
• Cognitive Development
• Eye-Tracking Methodology
• +4 more

Athanassios Protopapas is a Professor at the Department of Special Education , University of Oslo. He holds a PhD in Cognitive Science from Brown University (1997). His research focuses on reading fluency mechanisms, cognitive development, and eye-tracking methodologies. Previously, he served as Associate Professor at the University of Athens (2010–2016), leading the Cognitive Science graduate program and directing the Language & Learning Lab . Education: PhD in Cognitive Science (Brown University, 1997), MSc in Engineering (1995), MSc in Cognitive Science (1993), BSc in Physics (University of Patras, 1991). Research Interests: Reading development, dyslexia, rapid naming tasks (RAN), cascaded processing in reading, eye-tracking analysis, and methodological innovations in behavioral research. He has contributed to the Multilingual Eye-Movement Corpus (MECO) and studies on Greek orthography and aphasia. Awards: Fellow of the Psychonomic Society (2018), Associate Editor of Journal of Experimental Psychology: Human Perception and Performance (2019–present). Grants: SSHRC Insight Grant (2016–2021), Thales Project on Cognitive Mechanisms (2012–2015), and projects on learning disabilities screening in Greece (e.g., eMaDys). Teaching: Courses on reading development, cognitive science, and statistical methods at the University of Oslo and previous institutions. Authored books on spelling, dyslexia, and Greek language processing.

Jörg D. JescheniakView profile

Professor

• Cognitive Psychology
• Psycholinguistics
• Speech Production
• +3 more

Professor Jörg D. Jescheniak is a Cognitive Psychology professor at the University of Leipzig, holding his position since 2003. He directs the Wilhelm Wundt Institute for Psychology (2010-2024) and serves on the Faculty Council and multiple university committees. His academic journey includes doctoral studies at the Max Planck Institute for Psycholinguistics and postdoctoral work at the Center for Cognitive Sciences in Leipzig. 1990: Diplom (Psychology), Ruhr University Bochum 1994: Ph.D. (Psychology), University of Nijmegen 2000: Habilitation (Psychology), University of Potsdam His research focuses on cognitive mechanisms underlying speech production, lexical access, and semantic-phonological processing. He employs experimental paradigms like picture-word interference tasks and dual-task experiments to investigate competitive lexical selection, grammatical planning, and cross-modal integration in language production. His work bridges cognitive psychology with neuroscience through ERP methodologies. Recent publications demonstrate consistent contributions to understanding semantic interference effects, phonological encoding dynamics, and developmental differences in speech planning. His research shows particular interest in how cognitive load impacts grammatical advance planning and how object-related sounds influence picture naming processes. Heisenberg Fellowship (DFG, 2001-2003) Habilitation Fellowship (DFG, 1999-2000) As an academic leader, he serves as director of the Wilhelm Wundt Institute for Psychology and chairs multiple university committees. His current DFG-funded research explores incremental learning in word production through picture-word interference experiments. He actively reviews for major journals including Journal of Experimental Psychology and Cognition , and maintains memberships in the Psychonomic Society and European Society for Cognitive Psychology.

• Robotics
• Agricultural Robotics
• Adaptive Control Systems
• +6 more

Antonio Candea Leite is an Associate Professor at the Department of Mechanical Engineering and Technology Management, Norwegian University of Life Sciences (NMBU). His research focuses on adaptive and robust control systems, visual servoing, robot manipulators, and agricultural robotics applications. His work emphasizes: Development of autonomous navigation systems for agricultural robots Integration of computer vision for precision agriculture tasks Control strategies for uncertain robotic systems Automation in food quality measurement and pest management Advanced sensor integration for manufacturing processes Recent research trends show strong emphasis on: CNN-based crop row detection for autonomous navigation (2024) Human-robot collaboration frameworks for fruit picking (2024) Robotics solutions for fatty acid measurement in food production (2023-2022) Precision pest control systems using smart automation (2023) No scientific awards or grants are explicitly listed in the provided information. He is actively involved in advising and developing robotic platforms for agricultural and industrial applications without specific student names mentioned here.

Marco VasconcelosView profile

Researcher

• Decision Making
• Animal Cognition
• Comparative Psychology
• +5 more

Marco Vasconcelos is an active researcher at the University of Aveiro, Portugal, where he serves as an Integrated Member of the Cognition Team. With a PhD from the University of Aveiro, he has established himself as a prominent figure in animal cognition and decision-making research, with 95 publications, 9,723 reads, and 1,322 citations to his name. His research spans multiple institutions and collaborations across Europe, particularly with colleagues at the University of Aveiro and international collaborators including Armando Machado, Tiago Monteiro, and Alex Kacelnik. Vasconcelos's primary research focus centers on decision making and rationality, integrating concepts and techniques from operant and developmental psychology, comparative cognition research, optimal foraging theory, and microeconomics. His work examines how animals, particularly pigeons and starlings, make choices between alternatives, modeling how these options are valued and how valuation drives decisions. He employs optimality and learning theory to address valuation, using empirically supported algorithms to translate valuation into choice. His research often involves developing mathematical models of causative processes and testing them through controlled experiments, with particular emphasis on timing mechanisms, suboptimal choice phenomena, and information processing in animal decision making. Analysis of Vasconcelos's recent publications reveals a strong focus on temporal cognition and decision processes in animals. His work consistently explores how timing mechanisms interact with reinforcement structures to shape behavior, with particular attention to midsession reversal tasks, suboptimal choice phenomena, and numerical discrimination. The research demonstrates sophisticated integration of theoretical models from economics with empirical behavioral data, creating a bridge between normative decision theory and descriptive behavioral observations. His 2022-2025 publications show increasing methodological sophistication with variable trial spacings, differential reinforcement probabilities, and advanced modeling approaches. Vasconcelos maintains active collaborations with researchers across multiple institutions, particularly with Armando Machado at the University of Aveiro and Alex Kacelnik at the University of Oxford. His research has been supported through various grants that enable extensive behavioral experimentation with animal subjects. While specific grant details aren't provided in the available text, his consistent publication output across numerous high-impact journals indicates sustained research funding. As part of the Cognition Team at the University of Aveiro, Vasconcelos contributes to a vibrant research environment focused on animal learning and behavior. His work with the team has produced significant insights into how animals process temporal information, make decisions under uncertainty, and develop cognitive representations of numerical quantities. The research group employs sophisticated behavioral paradigms to investigate fundamental questions about the nature of decision processes and cognitive mechanisms in non-human animals.