جستجوی استاد راهنمای دانشگاهی

Chrystal Whitefordمشاهده پروفایل

مدرس ارشد

• STEM Education
• Early Childhood Mathematics Education
• Primary Mathematics Education
• +۴ مورد دیگر

Chrystal Whiteford is a Senior Lecturer in early childhood and primary mathematics education at Queensland University of Technology (QUT), affiliated with the School of Education within the Faculty of Creative Industries, Education & Social Justice. She holds a PhD in Early Childhood Education from QUT. Her research focuses on STEM education, mathematics education in early childhood and primary settings, and early childhood education and care quality. She has extensive experience teaching across early childhood, primary, and tertiary environments. Her doctoral research investigated developmental outcomes and quality of care for infants and toddlers in early childhood education contexts. Key research interests include bullying prevention, educator workforce development, and the intersection of mathematics with literacy and numeracy. Whiteford has contributed to projects such as the 'Transforming Mathematics and Science Teacher Education in Queensland' initiative and has authored over 50 peer-reviewed publications. Her work spans educational policy analysis, teacher emotional well-being, and cross-cultural studies of early childhood belonging. She currently teaches courses like EUB302 (Early Childhood Mathematics Education) and EUB208 (Primary Mathematics Curriculum Studies). Professional memberships include Early Childhood Australia. Recent research highlights include analyzing anti-bullying policies, evaluating educator training programs, and exploring STEM curriculum design barriers. Her work emphasizes practical applications to improve teaching practices and support student well-being.

• Educational Research Methodology
• Quantitative Methods in Social Sciences
• Multilevel Modeling
• +۴ مورد دیگر

Ioulia Televantou is a Lecturer in Quantitative Research Methods in Social Science at the Department of Education Sciences, European University Cyprus (since 2022). Previously, she held academic positions at the Theological School of the Church of Cyprus (2020-2022) and served as Adjunct staff at the University of Nicosia (2014-2022). Her academic journey includes a DPhil in Education from the University of Oxford (2014), with a thesis focused on methodological advancements in addressing biases in multilevel models. She also holds advanced degrees in Applied Statistics and Educational Research Methodology from Oxford, alongside a Mathematics degree from the University of Cyprus. Her research expertise centers on educational effectiveness, methodological rigor in multilevel modeling, and the impact of school composition on student outcomes. Notable projects include developing bias-corrected value-added models and investigating peer effects in educational settings. She has contributed to interdisciplinary studies on pharmacology teaching in medical curricula and immigrant students' experiences in European schools. Her award-winning work includes the WERA Visiting Scholar Award (2022) and the Bruce Choppin Award (2015). She has secured grants such as the Excellence Hubs-funded pharmacology teaching study (2019-2022) and collaborated on innovative research projects addressing longstanding biases in educational league tables. Her work bridges statistical methodology with real-world educational challenges, emphasizing evidence-based policy and equitable learning environments.

Yavuz Kamacıمشاهده پروفایل

پژوهشگر

• Mathematics Education
• Elementary Education
• Activity-Based Learning
• +۴ مورد دیگر

Yavuz Kamacı is a Researcher in the Department of Elementary Education - Primary Education at TED University, specializing in mathematics education and activity-based pedagogy for primary schools. His work bridges curriculum design, cognitive development, and inclusive educational strategies. Bachelor of Classroom Teaching, Hasan Ali Yücel Faculty of Education (2018) MSc in Primary Teacher Education, Yıldız Technical University (In progress) His research focuses on enhancing conceptual understanding in mathematics through visual tools and participatory methods, alongside exploring epistemological beliefs and ecosystem knowledge in K-12 contexts. Recent publications highlight the use of drawings and representations as diagnostic instruments for assessing student learning. His work aligns with broader trends in STEM education, environmental literacy, and child-centered pedagogical innovation.

• Early Childhood Education
• Child Development
• Preschool Assessment
• +۶ مورد دیگر

Cathy Grist is a Professor in the Department of Human Services at Western Carolina University's College of Education and Allied Professions. Her work focuses on early childhood education, child development, and the social-emotional well-being of young children and educators. She holds a Ph.D. from the University of Tennessee Knoxville, an MA from Western Carolina University, and a BA from Auburn University. Dr. Grist's research explores preschool assessment, personality traits in children, and the impact of adverse experiences on educators. She has conducted cross-cultural studies on early childhood education in the U.S. and Catalonia, and her work addresses trauma-informed practices, teacher burnout, and the role of physical activity in school readiness. Her publications span topics like science education perceptions, math curriculum strategies, and the effects of peer influence on academic behavior. She has also developed assessment tools like the M5–PS–35 personality questionnaire for preschoolers. Her research bridges practical classroom applications with broader societal issues like LGBTQ+ health and rural community partnerships. Dr. Grist collaborates on grants focusing on Appalachian community programs and educator support systems. Her work emphasizes evidence-based strategies to improve early childhood outcomes and educator resilience through professional development and trauma-informed frameworks.

• Psychology
• Developmental Psychology
• Educational Psychology
• +۷ مورد دیگر

Hermundur Sigmundsson is a Professor in the Department of Psychology at the Norwegian University of Science and Technology (NTNU). His research focuses on developmental psychology, motor competence, learning theories, and motivational factors such as growth mindset, grit, and flow. He has authored numerous peer-reviewed articles and contributed to scales like the Growth Mindset Scale and the General Flow Proneness Scale. His work explores how psychological factors influence academic achievement, motor skills development, and well-being in children, adolescents, and adults. Notable projects include the 'I CAN' intervention to boost grit and growth mindset in teenagers, and studies on cross-cultural motor competence in young children. He collaborates frequently with colleagues like Monika Haga, Håvard Lorås, and Jan Erik Ingebrigtsen. Key areas of interest include the interplay between physical fitness, cognitive development, and educational outcomes, particularly in literacy acquisition and early childhood learning. His research often bridges theoretical frameworks with practical interventions, emphasizing real-world applications in education and public health.

Mary Petersonمشاهده پروفایل

استاد

• Cognitive Science
• Perception
• Figure-Ground Perception
• +۴ مورد دیگر

Mary Peterson is a Professor in the Department of Psychology at the University of Arizona, serving as Director of the Cognition Science Program and Chair of the Cognitive Science Graduate Interdisciplinary Program. She also holds roles in the Evelyn F. McKnight Brain Institute and the School of Mind, Brain and Behavior, leading the Visual Perception Laboratory. Her research focuses on perceptual organization, figure-ground perception, and the interplay between memory and visual processing. She investigates how semantic information, context, and prior experience influence object detection and spatial cognition. Dr. Peterson’s work spans developmental, computational, and neuroscientific perspectives, addressing topics like aging effects on perception, attentional mechanisms, and the neural underpinnings of visual segmentation. She employs methodologies such as eye tracking, EEG, and fMRI, collaborating across disciplines to bridge cognitive psychology and neuroscience. Her lab explores how humans segment objects from backgrounds, integrate sensory input with conceptual knowledge, and adapt perceptual strategies based on context and task demands. Key areas include the role of inhibition in figure-ground competition, the impact of semantic priming on visual attention, and the development of object perception in infancy. She has contributed to debates on predictive coding, hierarchical Bayesian models, and the influence of memory on perception. Her recent work examines aging-related changes in perceptual processing, linking neural mechanisms to behavioral outcomes in older adults.

Eirikur Palssonمشاهده پروفایل

استاد مدعو

• Mathematical Biology
• Cell Signaling
• Ecological Systems
• +۳ مورد دیگر

Eirikur Palsson is an Adjunct Professor in Mathematical Biology at Simon Fraser University (SFU), associated with the Faculty of Science. He holds a PhD from Princeton University. His research focuses on mathematical modeling of cellular systems and ecological interactions, particularly studying cell signaling, multicellular dynamics, and nutrient competition in marine environments. He is affiliated with the Department of Biological Sciences and has cross-disciplinary ties with the Department of Physics. Education: PhD in Biological Sciences, Princeton University Research Interests: Palsson develops computational models to explore cell movement mechanisms in systems like Dictyostelium discoideum and Zebrafish, emphasizing cell adhesion and chemotaxis. His work on marine ecosystems investigates nutrient stoichiometry and Redfield ratio dynamics. Recent projects include modeling tumor-macrophage interactions and reservoir impacts on avian populations. Publications Trends: His research spans over three decades, combining theoretical biology with experimental validation. Recent work integrates computational models to address ecological and biomedical challenges, such as microplastic pollution effects and cancer cell invasion mechanisms. Awards and Grants: No specific awards listed, though his extensive publication record indicates sustained research excellence. Current projects likely involve SFU's research facilities. Labs and Collaborations: Laboratory locations: Office B8267 and Lab B9215/17B. Collaborations span mathematical biology, physics, and environmental science departments.

Jen Haenselمشاهده پروفایل

پژوهشگر

• Cognitive Development
• Cultural Psychology
• Eye Tracking Technology
• +۳ مورد دیگر

Jen Haensel is a PhD Student and Visiting Doctoral Researcher in the Department of Psychological Sciences at Birkbeck, University of London. Her work focuses on cultural differences in face perception development using advanced eye tracking techniques. She has held research roles at institutions including Kyoto University and the University of Sheffield. PhD Psychology (2015–present), Birkbeck MSc Educational Neuroscience (Distinction, 2013–2015), UCL/Birkbeck MSc Cognitive and Computational Neuroscience (Distinction, 2011–2012), University of Sheffield BSc Mathematics & Psychology (2007–2011), University of Glasgow Her research integrates screen-based and head-mounted eye tracking to study cross-cultural differences in face scanning patterns among infants and adults from Japan and the UK. She also develops semi-automated methods for analyzing eye-tracking data. Notable contributions include presenting at international conferences like the International Congress of Infant Studies and Vision Sciences Society. Awards include the SR Research Poster Award (2017) and a Psychology Merit Certificate (2010). She has received funding from the Wellcome Trust and MRC. Teaching roles include demonstrating for research methods courses at Birkbeck since 2016.

Matthias Rolfمشاهده پروفایل

دانشیار

• Robotics
• Machine Learning
• Multi-Objective Reinforcement Learning
• +۳ مورد دیگر

Dr. Matthias Rolf is a Reader in Computer Science at the School of Engineering, Computing and Mathematics, Oxford Brookes University. He serves as the First Year Tutor and Postgraduate Research Tutor for Computing. His research focuses on AI, machine learning, robotics, and smart visitor management, with notable collaborations like the Blenheim Palace project. He teaches courses including Artificial Intelligence (BSc/MSc), Computer Science (BSc), and supervises projects in reinforcement learning, ethical AI, and robotics. Rolf leads the Machine Learning and Robotics Group (MLR) and is part of the Centre for AI, Culture and Society (CAICS) and Visual Artificial Intelligence Laboratory (VAIL). His work bridges developmental robotics with ethical AI frameworks, emphasizing autonomous systems and human-robot interaction. Education: PhD (Dr.-Eng.), MSc in Computer Science, and Postgraduate Certificate in Higher Education (PGCHE). He has supervised multiple PhD/MSc students, including Rebecca Raper (PhD 2023 on moral machines) and Mohamed Idries (PhD 2022 on navigational algorithms). His research explores multi-objective reinforcement learning, tactile exploration, and ethical decision-making in AI systems. Publications span journals like IEEE Transactions and conferences, with over 30 articles since 2008. Media coverage includes features in New Scientist and Technology Review. He actively engages in knowledge transfer partnerships, integrating academic research with industry applications.

• Cognitive Neuroscience
• Brain Imaging
• Machine Learning
• +۵ مورد دیگر

Dr. Marvin M. Chun is the Richard M. Colgate Professor of Psychology and Professor of Neuroscience at Yale University . He leads a cognitive neuroscience laboratory specializing in brain imaging and machine learning to study perception, attention, memory, and cognitive performance. A member of the Yale Cognitive Science Program , his work bridges neuroscience , psychology , and computational modeling . His research interests include: Cognitive Neuroscience – Investigating neural mechanisms of perception and memory Brain Imaging – Utilizing fMRI and connectome-based models Machine Learning – Decoding cognitive states from neural data Attention and Working Memory – Exploring functional connectivity patterns Recent publications focus on predictive modeling of memory , attentional dynamics , and human-machine comparisons in object representation. Scientific awards include the 2019 Samsung Ho-Am Prize in Science , the 2006 Troland Research Award , and the 2002 APA Early Career Award . His laboratory receives funding from the National Institutes of Health and the National Science Foundation . As an educator, he teaches Introduction to Psychology and has received the Phi Beta Kappa William DeVane Award and the Lex Hixon Prize for Teaching Excellence .

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

Erin Isbilen is a Postdoctoral Research Fellow at the Child Study Center (Yale School of Medicine), where she investigates how domain-general cognitive mechanisms underpin sophisticated linguistic behaviors. Her research spans word learning , sentence processing , and reading development in pre-literate and early-literate children. PhD in Cognitive Science, Cornell University NSF GRFP recipient for dissertation on statistical learning NIH K99-funded work on neural markers of statistical learning Her research employs advanced methodologies including EEG frequency tagging and longitudinal studies to uncover predictors of reading readiness. Collaborations include the LLAMB Lab (Yale) and interdisciplinary teams integrating systems immunology and quantitative biology . Scientific Contributions: Published key findings on orthographic positional biases , chunking mechanisms , and emotional mediation in cross-modal associations . Her meta-analysis on 25 years of statistical learning research has become a foundational reference. Key Awards: Cognitive Science Society’s Glushko Dissertation Prize (2023) NIH K99 Pathway to Independence Grant NSF Graduate Research Fellowship Program (GRFP)

• Molecular Embryology
• Cell Biology
• Focal Adhesion Proteins
• +۵ مورد دیگر

Paris Skourides is a Professor at the Department of Biological Sciences , part of the School of Natural and Applied Sciences at the University of Cyprus . His research focuses on the molecular and cellular mechanisms underlying tissue morphogenesis and neural tube closure in vertebrates, particularly using the Xenopus laevis model organism. He also develops advanced imaging techniques using quantum dot nanocrystals and investigates the role of focal adhesion proteins in embryonic development and disease. Education PhD (1998-2004), The Rockefeller University: Morphogenetic Movements during Xenopus Gastrulation and Development of Biocompatible Quantum Dots BA Biochemistry (1994-1997), Brandeis University: Summa Cum Laude and Highest Honors in Biochemistry Research Interests include: Elucidating molecular mechanisms of vertebrate body plan formation Developing quantum dot-based imaging methods for morphogenesis studies Investigating focal adhesion proteins' roles in ciliogenesis and tissue mechanics Studying mechanotransduction pathways in embryonic development Creating high-throughput mucociliary flow assays for ciliopathy research His scientific contributions include the Marie Skłodowska-Curie Individual Fellowship. The Skourides Lab employs interdisciplinary approaches combining live imaging, 4D cell tracking, optogenetics, and molecular dynamics simulations to study: Ciliary adhesion complex formation Integrin-FAK signaling in spindle orientation Calcium signaling in apical constriction Quantum dot applications in developmental biology

Mike Burtonمشاهده پروفایل

استاد

• Cognitive Science
• Face Recognition
• Human Perception
• +۳ مورد دیگر

Mike Burton is a Professor of Psychology at the University of York, with a career spanning institutions across the UK, including the University of Aberdeen and University of Glasgow. His research focuses on face perception, emphasizing the mechanisms enabling identification across variable visual conditions and applications in computer-based face recognition and forensic settings. Education: BSc in Joint Honors Mathematics and Psychology (1980), University of Nottingham; PhD in Psychology (1983), University of Nottingham. Mike’s research explores how perceptual systems derive stable representations from variable face images, using experimental and computational modeling. Collaborations extend to security agencies and institutions like Kent University, Durham University, and the University of New South Wales. Recent work examines neural dynamics, multimodal cues, and virtual environments in face recognition. His publications span cognitive science, neuroscience, and forensic psychology, with a focus on unfamiliar face matching, neural correlates of familiarity, and computational modeling. Key grants include an ESRC Professorial Fellowship (2012–2016), an ERC Advanced Grant (2013–2018), and ongoing ESRC projects on high-fidelity avatars (2023–2026) and individual face recognition (2023–2026). Scientific Awards: Fellow of the British Academy (2017) Fellow of the Academy of Social Sciences (2019) Fellow of the Royal Society of Edinburgh (2006) Mike has held editorial roles in journals like Quarterly Journal of Experimental Psychology and Psychological Science , and served on REF2014 and REF2021 panels. He collaborates with researchers such as Rob Jenkins, Holger Wiese, and Markus Bindemann.

Lea A. Goentoroمشاهده پروفایل

استاد

• Systems Biology
• Cell Signaling
• Developmental Biology
• +۷ مورد دیگر

Lea A. Goentoro is a Professor of Biology at the California Institute of Technology (Caltech), affiliated with the Division of Biology and Biological Engineering. Her research focuses on systems biology, signaling pathways, and developmental mechanisms, with a particular emphasis on understanding how biological systems achieve robustness and adaptability. She holds a B.S. from the University of Wisconsin-Madison (2001) and a Ph.D. from Princeton University (2006). Before becoming a full Professor at Caltech in 2018, she served as an Assistant Professor there from 2011. Goentoro's lab investigates diverse biological systems, including jellyfish regeneration, developmental symmetry, and signaling pathway dynamics. Key research areas include relative perception in signaling pathways (e.g., Wnt and TGF-β), robustness in embryonic development, and the molecular mechanisms underlying regeneration. Her work combines mathematical modeling, biochemical experiments, and interdisciplinary approaches to uncover design principles in biological systems. Her team has made significant contributions, such as demonstrating fold-change detection in the Wnt pathway and identifying self-repair mechanisms in jellyfish. Collaborations include studies on sleep-like behavior in jellyfish and symbiotic development in early metazoans. Current projects explore transcriptional regulation in Wnt pathways, mechanosensing in regeneration, and cellular computations involving logarithmic sensing. Goentoro has mentored numerous students and postdocs, including alumni now in academia and industry. Her lab actively seeks creative researchers and technicians for projects in regeneration biology and systems biology. She is also involved in the Systems Biology Program at Caltech, fostering interdisciplinary research.

• Educational Psychology
• Developmental Psychology
• Special Education
• +۵ مورد دیگر

Ana Maria de Caso Fuertes is a Full Professor at the University of León, affiliated with the Faculty of Education and the Department of PSYCHOLOGY, SOCIOLOGY AND PHILOSOPHY. She holds a PhD from the University of León (2003) with a thesis on writing motivation titled "I want to write, I can write, I know how to write, motivation in writing" , supervised by Dr. Jesús Nicasio García Sánchez. Her research focuses on educational psychology, emphasizing motivational factors in learning, special education, and inclusive practices. Key areas include cooperative learning methodologies, socioaffective influences on academic performance, and the role of socioeconomic status in education. She leads research groups like EDUSOC (Education and Society) and contributes to initiatives such as Design4All , promoting universal learning design through gamification. Her work addresses challenges in compulsory education, pre-school motivation, and the integration of students with disabilities. Recent studies explore emotional health in children with autism spectrum disorder (TEA) and the impact of pandemics on student motivation. She has published extensively on educational assessment tools, practicum evaluation in social work, and teacher perceptions of inclusion. Research Groups: EDUSOC, APECONE (Psychological and Educational Counseling), EDUTOOLS (Educational Research Group) Key Themes: Writing instruction, educational equity, socio-emotional learning, and adaptive teaching methods Her contributions bridge theoretical frameworks with practical interventions, emphasizing evidence-based strategies to enhance student motivation and inclusive educational practices.