جست‌وجوی استاد و پژوهشگر

Margarita Panayiotouمشاهده پروفایل

مدرس

• Adolescent Mental Health
• Psychometric Analysis
• Social Media Impact
• +۳ مورد دیگر

Dr. Margarita Panayiotou is a Lecturer in Educational Psychology at the Manchester Institute of Education (University of Manchester), specializing in adolescent mental health, psychometric analyses, and social media impacts. She has led multiple large-scale school-based mental health intervention projects including the HeadStart evaluation (2016–2023) and the Good Behaviour Game (2017–2020). Her methodological expertise includes structural equation modeling (SEM), Monte Carlo simulations, and network analysis. She founded the MIE SEM group in 2018 to promote collaborative research in advanced quantitative methods. Her academic journey includes a PhD in Clinical Psychology from the University of Edinburgh (2015) and an MA in Psychology from the University of Cyprus (2011). Her research focuses on refining mental health measurement tools, such as the WHOQOL-BREF, and evaluating intervention efficacy through advanced statistical techniques like complier average causal effect (CACE) estimation. Key Projects: HeadStart, Good Behaviour Game, INSPIRE trial, AWARE trial Methodologies: SEM, Monte Carlo simulations, latent class analysis, panel networks SDG Contributions: Education (Goal 4), Good Health (Goal 3) Her recent work highlights the nuanced relationship between social media usage and adolescent mental health, emphasizing the need for context-aware measurement frameworks. Awards include the 2020 RSSG Excellence Award (Highly Commended) and 2019 Exceptional Performance Reward.

• Educational Psychology
• Quantitative Research Methods
• Educational Effectiveness
• +۶ مورد دیگر

Benjamin Nagengast is Professor of Educational Psychology and Deputy Director of the Hector Institute for Empirical Educational Research at the University of Tübingen. His work focuses on educational psychology, quantitative research methods, and motivation theory, with a particular emphasis on academic self-concept, intervention programs, and causal analysis in educational settings. He previously served as co-director of the LEAD Graduate School & Research Network and head of the LEADing Research Center until June 2022. His research spans topics including: Educational effectiveness and policy evaluation Motivational dynamics and value-belief interactions Multilevel modeling of educational outcomes Personality-achievement correlations Longitudinal studies of developmental trajectories While not explicitly listing scientific awards, his publications highlight methodological innovations and large-scale empirical studies. He mentors students through collaborative research projects, though individual advisees aren't named. His work frequently appears in top journals like Psychological Science and Journal of Educational Psychology , with recent articles examining detracking effects, twin comparison processes, and the interplay between self-concept and achievement. He maintains active collaborations with institutions like the University of Oxford and University of Jena.

Yi-Hsin Chenمشاهده پروفایل

استاد

• Educational Measurement
• Psychometrics
• Cognitive Diagnostic Modeling
• +۳ مورد دیگر

Dr. Yi-Hsin Chen is a Professor in the Department of Educational Measurement and Research at the College of Education, University of South Florida (USF), located on the Tampa campus in office EDU 362. Her teaching responsibilities include: EDF 6432: Foundations of Measurement (Online) EDF 6407: Statistical Analysis for Educational Research I (Online) EDF 7439: Item Response Theory EDF 7469: Computer-Based Testing EDF 7436: Rasch Models Her primary research focuses on cognitive psychometric models including GDINA, LCDM, and DINA, which integrate cognitive attributes into measurement frameworks. She specializes in diagnostic classification modeling, cross-cultural validation of educational constructs, and development of computer-based assessments. Her work bridges theoretical psychometrics with practical applications in mathematics and literacy assessment. Analysis of her recent publications reveals consistent innovation in cognitive diagnostic modeling, particularly in mathematics education (TIMSS, van Hiele geometry), orthographic processing, and cross-cultural validation. Her research increasingly incorporates computational methods like Bayesian estimation and R programming while addressing emerging challenges such as AI-generated test items. The interdisciplinary nature of her work spans educational psychology, statistics, and international assessment.

Vladimir Rokhlinمشاهده پروفایل

استاد

• Fast Algorithms
• Randomized Algorithms
• Numerical Harmonic Analysis
• +۳ مورد دیگر

Vladimir Rokhlin is the Arthur K. Watson Professor of Computer Science at Yale University, with additional appointments in Applied & Computational Mathematics and Mathematics. His research focuses on fast deterministic and randomized algorithms for computational mathematics, numerical harmonic analysis, and numerical linear algebra. He holds a Ph.D. from Rice University and an M.S. from the University of Vilnius. Key research interests include the development of efficient algorithms for solving integral equations, prolate spheroidal wave functions, and high-accuracy numerical methods. His work has led to breakthroughs in fast multipole methods and low-rank matrix approximations. Rokhlin has been recognized with prestigious awards such as the 2001 Leroy P. Steele Prize, membership in the National Academies of Sciences and Engineering, and the 2014 William Benter Prize. His recent publications emphasize advancements in quadrature formulas, scattering problems, and spectral methods for partial differential equations. His contributions bridge theoretical mathematics and computational science, with applications in electromagnetics, signal processing, and engineering. Current efforts include optimizing algorithms for complex geometries and improving the efficiency of numerical linear algebra techniques.

• Probability Theory
• Branching Processes
• Products of Random Matrices
• +۷ مورد دیگر

Prof. Dr. Sebastian Mentemeier is a permanent Professor (W2) in the Department of Mathematics 2 at the Institute for Mathematics, Mathematics Education and Computer Science Education, University of Hildesheim, Germany, a position he has held since October 2019. He also holds significant administrative roles as Vice Dean and Dean of Studies in Faculty 4 (Mathematics, Natural Sciences, Economics & Computer Science), and is a member of the Institute's Board and the Central Commission for Studies and Teaching. His research is centered on advanced probability theory, with a focus on branching processes, products of random matrices, and extreme value theory for time series. His research interests include: Non-Gaussian limit theorems Branching processes, particularly Multitype Branching Random Walks Products of random matrices Extreme value theory for time series Heavy-tailed random variables Conditional limit theorems His recent publications, spanning from 2012 to 2022, demonstrate a consistent and high-impact research trajectory in theoretical probability. The articles reveal a strong trend in analyzing the asymptotic behavior of complex stochastic systems, particularly those defined by recursive equations and random matrix products. His work frequently intersects with statistical mechanics and time series analysis, often investigating the tail behavior and limit laws of solutions to stochastic fixed-point equations, with a particular emphasis on heavy-tailed and multivariate settings. Prof. Mentemeier has been a Principal Investigator on two major DFG projects: 'Nonlinear stochastic fixed-point equations with applications in statistical mechanics' (2017-2023) and 'Products of Random Matrices, Noncommutative Branching Random Walks, and Multitype Branching Random Walks in Random Environments' (since 2021). He is an active member of the academic community, serving as a referee for journals such as Stochastic Processes and their Applications and Journal of Theoretical Probability , and has co-organized international conferences on recursive stochastic processes and branching models. He supervises PhD and Master's students, although specific names are not listed on his profile. He has led a research group within the Department of Mathematics 2 and is a key member of the Institute's academic board. His work is conducted within the broader context of the Faculty of Mathematics, Natural Sciences, Economics & Computer Science at the University of Hildesheim.

Pauliina Ilmonenمشاهده پروفایل

دانشیار

• Mathematical Statistics
• Probability Theory
• Data Science
• +۳ مورد دیگر

Pauliina Ilmonen is an Associate Professor and Vice Dean in the Department of Mathematics and Systems Analysis at Aalto University, within the School of Science. Her research focuses on mathematical statistics, probability theory, and data science, with applications in healthcare and engineering. She holds academic positions in both the Department of Mathematics and Systems Analysis and Statistics and Mathematical Data Science. Her work spans statistical methodology, stochastic processes, and interdisciplinary collaborations in biomedicine. Notable research areas include extreme value analysis, functional data analysis, and the modeling of dependent data. She has contributed to studies on HIV transmission dynamics, prostate cancer genomics, and the statistical analysis of infectious diseases. Dr. Ilmonen’s recent publications (2020–2025) emphasize methodological advancements in statistical inference, computational statistics, and applications in healthcare. She leads projects on predictive modeling, cost-effectiveness analysis in cancer screening, and network traffic prediction. Her findings bridge theoretical statistics with practical challenges in medicine and technology. She advises 8 theses and collaborates on grants exploring mathematical data science, biostatistics, and stochastic systems. Active in academic service, she contributes to curriculum development and promotes ethical use of statistics in research.

• Psychometrics
• Educational Measurement
• Statistical Modeling
• +۳ مورد دیگر

Prof. Dr. Steffi Pohl is a Professor of Methods and Evaluation/Quality Assurance at the Department of Methods and Evaluation/Quality Assurance, Faculty of Education and Psychology, Freie Universität Berlin. She holds editorial roles in prominent journals like Psychometrika and Journal of Educational and Behavioral Statistics . Her research focuses on psychometrics, log data analysis, missing data mechanisms, and causal inference in educational assessments. Steffi Pohl's academic journey includes a Diplom in Psychology from Freie Universität Berlin (1998–2004) and a Ph.D. in Psychometrics (2005–2010) from Friedrich-Schiller-Universität Jena. She has held various research positions, including at the National Educational Panel Study (NEPS) and the University of Hertfordshire, UK. Her work emphasizes methodological advancements in testing, missing data, and measurement invariance across populations. Her research interests span psychometric modeling, log data analysis, and addressing challenges in large-scale educational assessments. Key contributions include innovations in response time analysis, disentangling engaged/disengaged test behaviors, and improving cross-cultural comparisons in educational rankings. She has been recognized with the 2020 Early Career Award from the Psychometric Society and the 2011 Gustav A. Lienert Dissertation Prize. In addition to research, Pohl teaches courses on empirical social research methods and multivariate analysis techniques. She actively contributes to university governance as a member of the Academic Senate at Freie Universität Berlin and serves as a trusted advisor for the German National Academic Foundation.

• Forest Growth and Yield Modeling
• Forest Biometrics
• Pine Plantation Management
• +۳ مورد دیگر

Mingliang Wang serves as a Researcher at the Plantation Management Research Cooperative (PMRC) within the Warnell School of Forestry and Natural Resources at the University of Georgia. His expertise centers on forest biometrics, with a specialization in growth and yield modeling for loblolly pine plantations across the southeastern United States, leveraging long-term experimental data to inform sustainable management practices. His research portfolio emphasizes: Forest Growth and Yield Modeling Pine Plantation Dynamics Forest Carbon Sequestration Silvicultural Treatment Impacts Stand Structure Analysis Statistical Biometrics He employs advanced regression techniques and longitudinal studies to quantify effects of thinning, fertilization, and site quality on plantation productivity. Analysis of his 15 most recent publications reveals consistent focus on loblolly pine ecosystems, with dominant themes including carbon stock dynamics, thinning efficacy, and species performance comparisons. Methodologically, he integrates nonlinear mixed-effects models and long-term experimental designs to address critical gaps in plantation forestry science. Dr. Wang actively contributes to the Plantation Management Research Cooperative (PMRC), a collaborative hub advancing science-based solutions for sustainable forest management through partnerships between academia, industry, and government stakeholders.

Carina Wikmanمشاهده پروفایل

مدرس

• Teacher-Student Relationships
• Social-Emotional Learning
• Classroom Climate
• +۳ مورد دیگر

Carina Wikman is a Lecturer in Special Education at Stockholm University's Department of Special Education. With a PhD earned in 2023, her academic career combines empirical research with practical teaching experience from primary and secondary school settings. PhD in Special Education (2023) Expertise in classroom climate assessment Developed EduCAT observation instrument Focus on teacher-student interaction Her research portfolio emphasizes social-emotional learning environments and ethical teaching approaches . Key projects include validating classroom observation tools like EduCAT against established metrics (CLASS), and evaluating the Berättarministeriet educational initiative through teacher coaching programs. The article analysis reveals consistent engagement with psychometric validation , prosocial behavior assessment , and supportive learning environment development . Methodologies include cross-sectional studies, confirmatory factor analysis, and longitudinal intervention trials. Her work addresses urgent questions about value-based education and plurality in democratic frameworks , as evidenced by her 2011 thesis on ethical approaches in teaching. Current research focuses on refining assessment protocols for Swedish educational contexts.

• Linear and Multilinear Singular Integrals
• Real Harmonic/Fourier Analysis
• Differential Operators
• +۶ مورد دیگر

Professor Vjekoslav Kovac is a full professor at the Department of Mathematics, Faculty of Science, University of Zagreb. He holds a PhD from UCLA (2011) under Christoph Thiele and was a Fulbright Scholar at Georgia Tech (2019-20). His research spans harmonic analysis, singular integrals, combinatorics, and number theory, with a focus on Fourier restriction problems and Erdős-type conjectures. Kovac leads the HRZZ-funded 'Fourier Analysis and Applications' grant (2023-2027) and has previously directed projects like 'Multilinear Harmonic Analysis' (2018-2023). Education: PhD, UCLA (2011); MSc, University of Zagreb (2006) Research Interests: Singular integrals, real harmonic analysis, geometric measure theory, additive combinatorics, ergodic theory He is renowned for solving longstanding open problems, including Erdős conjectures on unit fractions and irrationality. Kovac has authored/co-authored over 40 publications and mentored multiple PhD and diploma students. His awards include the Croatian National Science Award (2023) and the Brdo Award (2025 nomination). Teaching roles include courses on mathematical analysis, Fourier analysis, and competition mathematics. Grants: Current FANAP (HRZZ), Previous MUNHANAP (HRZZ), MZO/DAAD grants Media Highlights: Coverage in 'What's New' (Tao), 'TotalCroatia', and Croatian TV for resolving 40-year-old mathematical problems

Pauline Lafitteمشاهده پروفایل

استاد

• Partial Differential Equations (PDEs)
• Numerical Analysis
• Kinetic Theory
• +۳ مورد دیگر

Pauline Lafitte is a Professor at CentraleSupélec since 2011 and a member of the Laboratoire de Mathématiques d’Orsay UMR CNRS 8628 since 2025. She leads the Mathematics Department (3rd year curriculum) and co-heads the Mathematics and Data Sciences program at CentraleSupélec. She has held leadership roles including Director of the CentraleSupélec Mathematics Federation (FR3487) since 2017 and Editor-in-Chief of the Société Mathématique de France’s Gazette since 2023. Education: Habilitation à Diriger des Recherches (HDR) from Université Lille 1 (2010), PhD from ENS Lyon (2001), Agrégation de Mathématiques (1998), and DEA in Numerical Analysis (1997). Research focuses on hyperbolic/parabolic PDEs, kinetic theory, numerical analysis, and applications in physics, biology, and engineering. Key areas include asymptotic-preserving schemes, shock profile analysis, and fluid-particle interactions. Over 27 peer-reviewed articles and contributions to ANR projects like TOP-PRED (2021–2024) and STAB (2013–2016). Teaching includes large undergraduate classes (500–800 students) and specialized M2 courses in applied mathematics, covering PDEs, numerical methods, and functional analysis. Service roles include leadership in academic committees (e.g., CNRS, SMAI), editorial boards, and conference organization (e.g., Franco-Hellenic schools, CEMRACS 2019). Extensive jury participation in PhD defenses and academic recruitment committees.

Martin Bohnerمشاهده پروفایل

استاد

• Difference Equations
• Dynamic Equations on Time Scales
• Mathematical Analysis
• +۴ مورد دیگر

Dr. Martin Bohner is the Curators' Distinguished Professor in the Department of Mathematics and Statistics at Missouri University of Science and Technology. He is a leading expert in difference equations and dynamic equations on time scales, with extensive contributions to mathematical analysis and applied mathematics. University: Missouri University of Science and Technology Department: Department of Mathematics and Statistics Academic Rank: Professor His research interests include difference equations, dynamic equations on time scales, oscillation theory, stability analysis, and interdisciplinary applications in biology and economics. He has pioneered the unification of continuous and discrete analysis through time scales calculus, influencing both theoretical and applied domains. The recent publications highlight a sustained focus on qualitative behavior of dynamic equations, nonlinear systems, boundary value problems, and applications across disciplines. His work consistently bridges pure mathematical theory with real-world modeling challenges. President of the International Society of Difference Equations (ISDE), 2017–2019 Curators' Distinguished Professor Recognized among the top 2% most cited scientists globally (2021–2024) Dr. Bohner has advised numerous graduate students and collaborates widely across international institutions. He has secured significant research recognition and leadership roles. He is actively involved in organizing conferences and editorial work, including founding and editing major journals in his field. He leads research initiatives connecting dynamic modeling with practical systems in engineering and natural sciences.

Simon Coxمشاهده پروفایل

استاد

• Brain and Cognitive Ageing
• Neuroimaging
• Lifecourse Correlates of Brain Structure
• +۳ مورد دیگر

Professor Simon Cox is a leading academic in brain and cognitive ageing at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. As a Sir Henry Dale Fellow and Director of the Lothian Birth Cohort Studies, he investigates lifecourse determinants of brain structure and cognitive differences using multi-cohort neuroimaging and genomic data. Principal Investigator on Age UK, BBSRC, ESRC, and NIH-funded projects Research focuses on neurodevelopment, epigenetics, and environmental influences on ageing Research Interests span: Brain-cognition relationships across the lifespan Multi-omics approaches to neurodegeneration Environmental and genetic mediators of cognitive decline Neuroimaging methodology development Frailty and multimorbidity in ageing populations Life-course epidemiology of brain health Selected Publications (2023-2025) reveal trends in: Epigenetic biomarkers of brain ageing Genomic structural equation modeling Environmental impacts (air pollution, socioeconomic status) Neuroinflammation and mental health Connectomic analysis of depression Vascular risk and brain structure Scientific Awards : Sir Henry Dale Fellowship National Institute on Aging R01 funding NIH RF1 grant for Alzheimer's research PhD Supervision includes projects on: PRENCOG cohort (preterm birth effects) Wellcome-funded mental health data science Translational neuroscience (15+ students)

A. Nayena Blanksonمشاهده پروفایل

استاد

• Developmental Psychology
• Quantitative Psychology
• Cognitive Development
• +۴ مورد دیگر

Dr. A. Nayena Blankson serves as Professor of Psychology at Spelman College, where she has been a faculty member since 2009 and participates in the First in the World Grant Leadership Team. Her academic background includes: Ph.D. in Quantitative Psychology from the University of Southern California (mentored by Dr. John L. Horn and Dr. Rand Wilcox) B.A. from Loyola University Maryland Post-doctoral fellowship at The University of North Carolina at Greensboro (mentored by Dr. Marion O'Brien) Dr. Blankson's research integrates two core domains: Developmental Psychology : Examines cognitive development through lenses of personality, parenting, schooling, and early academic achievement in children Quantitative Psychology : Specializes in psychometrics, structural equation modeling, moderated mediation, and research design methodology Her 2014-2022 publications reveal consistent methodological rigor across developmental contexts, with recurring themes in cognitive assessment of African American children, measurement invariance testing, and applications of advanced statistical modeling to educational outcomes. She actively contributes to institutional advancement through the First in the World Grant Leadership Team and mentors students via the Honors Thesis Seminar.

• Partial Differential Equations
• Mathematical Physics
• Nonlinear Waves
• +۳ مورد دیگر

Benoit Pausader is a Professor of Mathematics at Brown University, USA, and was a fellow-in-residence at CY Advanced Studies (CY AS), invited by the Laboratory AGM. He specializes in mathematical analysis of partial differential equations and dispersive systems, with applications in physical phenomena involving wave-particle duality. His research focuses on dispersive equations, which describe how complex systems decompose into simpler components that evolve differently over time, leading to increased randomness. This work lies at the intersection of nonlinear analysis, mathematical physics, and dynamical systems, contributing to theoretical understanding in wave propagation and stability. Benoit Pausader has presented his research through invited lectures, including an e-Guest Lecture hosted by CY AS titled "Dispersive equations in nature." His work emphasizes harnessing dispersion to prove analytical results in physical models. Affiliation: Professor, Brown University Research Stay: Fellow-in-Residence, CY Advanced Studies (CY AS), Laboratory AGM There are no listed scientific awards or advisory activities in the provided text. No information is available regarding grants, labs, or collaborative teams.