جست‌وجوی استاد و پژوهشگر

Johan Lyhagenمشاهده پروفایل

استاد

• Time series econometrics
• Cointegration analysis
• Panel data analysis
• +۶ مورد دیگر

Johan Lyhagen is a Professor of Statistics at the Department of Statistics, Uppsala University, within the Faculty of Social Sciences. His contact information includes mobile phone: +46 70 425 02 02 and email: Johan.Lyhagen@statistik.uu.se. He has been a full Professor of Statistics since 2010, having been promoted to professor specializing in time series econometrics two years prior. Professor Lyhagen's main research area is time series econometrics, with particular focus on cointegrated relationships in economic equilibriums. His work examines how to empirically test for and estimate these equilibriums, with recent interest in how short-term dynamics may differ across business cycles. Beyond his primary focus, he has conducted research in psychometrics (non-linear structural equation models, robust inference), optimal binning in histograms, and measurement error problems. His research demonstrates a strong methodological foundation with applications across multiple economic and social domains. His recent publication trends (2016-2025) show a diverse research portfolio that spans econometrics, statistics, and interdisciplinary applications. His work demonstrates expertise in spatial econometrics, climate change impacts on agriculture, robust statistical methods, structural equation modeling, and policy evaluation. The research shows a consistent methodological focus on time series analysis, panel data, and statistical modeling across various substantive domains including economics, environmental science, health, and energy markets. Professor Lyhagen has substantial experience in academic administration, having served as head of department, member of faculty board, and on committees for the recruitment of professors. He supervises PhD students and is actively involved in teaching, demonstrating a commitment to both research excellence and academic development.

Florian Schweigerمشاهده پروفایل

پژوهشگر ارشد

• Probability Theory
• Mathematical Analysis
• Stochastic Processes
• +۴ مورد دیگر

Florian Schweiger is a Postdoctoral Scholar in the Department of Mathematics at the University of Geneva, hosted by Professor Hugo Duminil-Copin. Previously, he was a postdoc at the Weizmann Institute of Science under Ofer Zeitouni. His research centers on probability theory and analysis, with a primary emphasis on stochastic models for interfaces. His educational background includes: BSc in Mathematics from the University of Bonn (2011-2014) MSc in Mathematics from the University of Toronto (2014-2015) MSc in Mathematics from the University of Bonn (2015-2016) PhD in Mathematics from the University of Bonn (2016-2020), supervised by Stefan Müller Dr. Schweiger's research interests encompass probability theory and mathematical analysis. He investigates stochastic interface models, log-correlated fields and their extremes, correlated percolation models, and regularity theory for discrete elliptic operators. His work often addresses the behavior of random surfaces and fields in various regimes. His recent publications demonstrate a strong focus on interface models and log-correlated Gaussian fields. Key contributions include the study of the maximum of log-correlated fields in random environments, pinning phenomena in membrane models, and finite range decompositions of Gaussian fields. These works highlight the interplay between probability and analysis in understanding complex random systems. He is an active member of Hugo Duminil-Copin's research group at the University of Geneva, contributing to the group's efforts in probability theory and statistical mechanics.

• Asymptotic Analysis
• Homogenization Theory
• Partial Differential Equations
• +۴ مورد دیگر

Irina Pettersson is an Associate Professor in Applied Mathematics and Statistics at Chalmers University of Technology. Her research focuses on asymptotic analysis and homogenization of differential equations, with applications in mathematical physics including electromagnetic scattering in materials with small particles and heat conduction. In classical homogenization theory, she studies mixtures of materials with different properties that have two scales: a microscopic scale describing the microstructure of heterogeneous materials and a macroscopic scale. Homogenization theory provides methods to replace heterogeneous materials with homogeneous ones, making the equations easier to solve. A well-known example is the derivation of Darcy's law from the Navier-Stokes equations for transport in porous materials. Recently, Pettersson has been particularly interested in the derivation of cable equations for nerve fibers, which involves approximating 3D models with 1D models. Her publication record shows a clear progression from traditional homogenization applications toward neuroscience-focused research, with recent papers examining nerve bundles, myelinated axons, and signal propagation in neurons. This interdisciplinary work connects mathematical theory with biological applications, demonstrating significant methodological innovation in multiscale modeling approaches. She has received research funding from STINT (The Swedish Foundation for International Cooperation in Research and Higher Education) for the project 'EINervio - Modeling of ephaptic coupling of myelinated neurons' (2020-2022), which produced multiple publications. Her collaborative work appears in top-tier journals including SIAM Journal on Mathematical Analysis and SIAM Journal of Scientific Computing, indicating strong recognition within the mathematical community. Pettersson's research program bridges theoretical mathematics with practical applications across multiple domains, demonstrating how rigorous mathematical frameworks can advance understanding of complex physical and biological phenomena. Her current work continues to expand the boundaries of homogenization theory while addressing challenging problems in neuroscience modeling.

• Numerical Analysis
• Differential Equations
• Geometric Numerical Integrators
• +۳ مورد دیگر

David Cohen is a Professor in the Department of Applied Mathematics and Statistics at Chalmers University of Technology. His academic career centers on the development and analysis of numerical methods for differential equations, with particular expertise in geometric numerical integration techniques. His research focuses on structure-preserving numerical methods for approximating solutions to deterministic and stochastic dynamical systems. Cohen's work spans geometric numerical integrators, stochastic differential equations, and the numerical analysis of partial differential equations. His approach emphasizes preserving underlying geometric structures in numerical schemes, which is crucial for long-term accuracy and stability in simulations. The publication record shows consistent research output with a clear trajectory toward increasingly complex stochastic systems. Recent work focuses on splitting integrators, positivity-preserving schemes, and specialized methods for stochastic wave equations, Manakov systems, and Lie-Poisson structures. His research demonstrates strong connections to applications in physics, optics, and mathematical modeling of complex systems. Cohen leads or participates in multiple research projects funded by Vetenskapsrådet (VR) and the European Commission, including work on stochastic FitzHugh-Nagumo models and numerical methods for PDEs with random dispersion. His collaborative network includes researchers across Europe and North America, reflecting the international nature of his work in computational mathematics.

VASDEKIS VASILEIOSمشاهده پروفایل

استاد

• Longitudinal Data Analysis
• Latent Variable Models
• Composite Likelihood Methods
• +۷ مورد دیگر

VASDEKIS VASILEIOS is a Professor of Statistics at the Department of Statistics, School of Information Sciences and Technology, Athens University of Economics and Business (AUEB), where he has been a faculty member since 1999. He previously served as Assistant Professor (2003–2009), Associate Professor (2009–2016), and Lecturer (1999–2003). He held administrative roles including Head of Department (2016–2020) and Vice-Chancellor for Academic Affairs and Personnel (2020–2024). Education: D.Phil. in Statistics, University of Oxford, UK (1989–1993) M.Sc. in Applied Statistics, University of Oxford, UK (1988–1989) B.A. in Mathematics, University of Athens, Greece (1983–1988) His research focuses on longitudinal data analysis , latent variable models , and composite likelihood methods , with applications in clinical trials, psychology, and public health. He has developed statistical methodologies for correlated binary data, multivariate ordinal responses, and random effects models. His work bridges theoretical statistics with practical applications in medicine and social sciences. The recent publications show a strong trend in psychometrics , model diagnostics , and longitudinal modeling , particularly using composite likelihood and goodness-of-fit techniques. His interdisciplinary collaborations extend to developmental psychology and nutrition studies. Scientific Awards: Fellow of the Royal Statistical Society (UK) IKY Scholarship for Doctoral Research (1989–1993) He has supervised multiple doctoral students, including Evgenia Tzompanaki, Antonia Korre, and Ioanna Athanassopoulou, and postgraduate researcher Kostas Florios. He has secured research funding through projects such as PYTHAGORAS, ARISTEIA II, and internal AUEB grants. His professional service includes teaching workshops on SPSS and statistical methods for health professionals, often in collaboration with pharmaceutical companies like JANSSEN-CILAG. He is an active member of professional societies, including the Royal Statistical Society, the American Mathematical Society, and the Bernoulli Society. He has contributed to European research networks such as DAFNE, focusing on food consumption data analysis.

• Healthy Ageing
• Sensory Ageing
• Dementia Prevention
• +۴ مورد دیگر

Dr. Kim Kiely is a Lecturer in Statistics and Data Science at the University of Wollongong, holding a joint position across the School of Mathematics and Applied Statistics and the School of Social Sciences. He specializes in healthy ageing research, focusing on life-course epidemiology, social psychiatry, and gerontology. His key research areas include behavioral/social determinants of health expectancy, sensory ageing, social inequalities in longevity, and dementia prevention. Dr. Kiely teaches advanced courses in public health programs such as Data Science and Machine Learning for Health, Managing and Communicating Health Data, and Observational Epidemiology. His work integrates statistical methodologies with real-world applications, particularly in older driver safety and mental health screening tools. His recent publications (2023–2025) highlight trends in ageing-related research: advanced driver-assistance systems adoption, childhood adversity impacts on late-life cognition, and gender disparities in dementia risk factors. He has led/co-investigated grants totaling over $A2 million from ARC, NHMRC, and Dementia Australia, addressing topics like cognitive ageing interventions and sensory loss. Dr. Kiely has coordinated influential studies such as the AUDACIOUS (Auditory Ageing and Cognitive Impairment) project. His research bridges statistical rigor with public health policy, emphasizing evidence-based solutions for ageing populations.

Rodney Nillsenمشاهده پروفایل

استاد

• Pure Mathematics
• Applied Mathematics
• Education Policy
• +۳ مورد دیگر

Professor Rodney Nillsen is an Honorary Fellow in the School of Mathematics and Applied Statistics at the University of Wollongong. He holds degrees from the University of Tasmania and Flinders University, including a D.Sc. His academic career includes positions at institutions such as the Royal University of Malta and the University of Calgary. He is a Fellow of The Australian Mathematical Society and a member of several mathematical societies. Research interests span Pure and Applied Mathematics, with a focus on Dynamical Systems, Fourier Analysis, and Mathematics Education. Notable works include Randomness and Recurrence in Dynamical Systems (2010) and Infinitesimal Knowledges (2022). He advises on topics like stochastic processes and paratopological groups, contributing to both theoretical and pedagogical advancements. His publications explore intersections between mathematics and public policy, such as quadratic functions in resource allocation and education equity. He emphasizes critical mathematical reasoning in policy contexts, advocating for rigorous yet accessible educational approaches.

James A. Fosterمشاهده پروفایل

استاد

• Computational Biology
• Evolutionary Algorithms
• Neural Networks
• +۲ مورد دیگر

James A. Foster is a University Distinguished Professor of Biology in the Department of Biological Sciences at the University of Idaho. His research spans computational biology, evolutionary algorithms, and stochastic modeling. Key interests include neural ODE optimization, high-order SDE solvers, microbiome influences on health, and viral evolution modeling. Recent computational work focuses on improving efficiency and accuracy in stochastic simulations. Applications extend to pediatric nutrition (INSPIRE study), sepsis diagnostics, and COVID-19 variant analysis. Biological investigations cover gamete preparation and fertilization mechanisms.

Stephen Taylorمشاهده پروفایل

استادیار بالینی

• Clinical Psychology
• Mindfulness-Based Interventions
• Cognitive Behavioral Therapy
• +۳ مورد دیگر

Stephen Taylor, PhD, is a Clinical Assistant Professor in the Department of Psychology at the University of South Carolina and Director of the Psychology Services Center. He holds dual affiliations within the McCausland College of Arts and Sciences and the broader University community. Dr. Taylor specializes in clinical-community psychology, with expertise in third-wave cognitive behavioral interventions, mindfulness-based approaches, and functional-contextual frameworks. His research focuses on the intersection of physical and mental health, particularly stress reduction and burnout prevention, alongside ADHD symptomology and adolescent behavioral health. Dr. Taylor earned his Ph.D. in Clinical-Community Psychology from the University of South Carolina and completed a clinical internship at the Charles George Veterans Affairs Medical Center in Asheville, NC. His academic background emphasizes evidence-based clinical practices and their application to real-world settings, including school and community environments. His research portfolio spans mindfulness interventions for teachers and adolescents, physical activity interventions for underserved youth, and the mediating roles of experiential avoidance in substance use among college students. Notable themes include the design and evaluation of behavioral interventions targeting stress, ADHD symptom management, and physical activity promotion. His work often integrates psychometric validation of assessment tools, such as the Social Motivational Orientations in Sport Scale and Teacher Strengths and Difficulties Questionnaire. Dr. Taylor directs the Psychology Services Center, which provides clinical services and training opportunities. He has contributed to randomized-controlled trials (e.g., Connect Through PLAY) and feasibility studies for public health interventions. While no scientific awards are explicitly listed, his work reflects sustained engagement with applied clinical research and community outreach. Grant activities and advising details are not detailed in the provided materials.

Velda Gonzalez-Mercadoمشاهده پروفایل

استادیار

• Symptom Science
• Symptom Management
• Microbiomics
• +۶ مورد دیگر

Velda Gonzalez-Mercado is an Assistant Professor at New York University Rory Meyers College of Nursing specializing in symptom science and management for GI/GU cancer populations. Her research employs multi-omics approaches including microbiomics and genomics to investigate bio-behavioral mechanisms of cancer-related symptoms. PhD, MSN, and BSN in Nursing National Institute of Nursing Research (NINR) K23 and F32 grant recipient Research Focus: Explores gut microbiome associations with cancer treatment symptoms (fatigue, sleep disturbance, depression) through patient-centered phenotyping. Notably examines disparities in Puerto Rican populations and develops microbiota-based classifiers for symptom prediction. Notable Awards: Goddard Fellowship (2023) Sousa Award of Excellence (2015) International Sigma Theta Tau Induction (1992) Publications demonstrate expertise in microbiome functional pathways, symptom clustering analysis, and culturally adapted interventions. Current work examines interplay between social determinants and biological factors in urban cancer populations.

Ilia Krasikovمشاهده پروفایل

دانشیار

• Graph Theory
• Combinatorics
• Coding Theory
• +۴ مورد دیگر

Dr. Ilia Krasikov serves as a Reader in the Department of Mathematics within the College of Engineering, Design and Physical Sciences at Brunel University. His academic career spans multiple decades with a consistent publication record demonstrating expertise in mathematical analysis and combinatorics. His research focuses on Graph Theory, Combinatorics, Coding Theory, Number Theory, and Orthogonal Polynomials . Krasikov's work in approximation theory, particularly regarding special functions like Bessel, Airy, Laguerre, and Jacobi polynomials, represents a significant portion of his scholarly contributions. His investigations into polynomial inequalities, zeros of orthogonal polynomials, and reconstruction problems in graph theory demonstrate the breadth of his mathematical interests. Analysis of his publication history reveals a strong emphasis on approximation theory and special functions over the past two decades, with numerous papers examining properties of orthogonal polynomials, Turán inequalities, and bounds for various special functions. His earlier work featured more graph theory and combinatorial reconstruction problems, showing an evolution of research focus while maintaining connections between discrete mathematics and analysis. Dr. Krasikov is affiliated with the BURST research group at Brunel University and has maintained productive collaborations with researchers including A. Zarkh, S. Litsyn, and G.J. Rodgers. His co-author network indicates active participation in the mathematical research community across multiple subdisciplines.

• Emotional Regulation
• Health Psychology
• Differential Psychology
• +۷ مورد دیگر

Anne Congard serves as Professor of Differential Health Psychology and Deputy Director of the Psychology Laboratory of the Pays de la Loire (LPPL - UR 4638) at the University of Nantes' Faculty of Psychology. She oversees PASS and LAS training for psychology students and maintains an active research program within the LPPL laboratory (office 150, Chemin de la Censive du Tertre). Her research investigates emotional regulation through dynamic approaches to emotional fluctuations, examining strategies across time and life events. She studies conative sphere changes (personality, depression, anxiety) via mindfulness, positive psychology, CBT, and sports interventions, defining operationalization criteria for health, work, and daily life contexts. Her methodological expertise includes multivariate structural methods, principal component analysis, and advanced structural modeling techniques like causal pathway analysis and multi-level models. Recent publications (2020-2024) reveal strong thematic continuity in emotional dynamics research, with emerging focus areas including eco-anxiety assessment, breast cancer psychosocial impacts, and pandemic-related emotional regulation. These works predominantly employ longitudinal designs and sophisticated statistical modeling to capture individual differences in emotional processes across diverse populations. No scientific awards are documented in available materials. Dr. Congard maintains extensive collaborative networks, frequently partnering with Sarah Le Vigouroux, Bruno Dauvier, and Pascal Antoine on intervention studies and psychometric validations. Her research addresses significant public health challenges including cancer survivorship, pandemic responses, and environmental mental health, though specific grant details remain unreported. She operates within the Psychology Laboratory of the Pays de la Loire (LPPL), a recognized research unit (UR 4638) conducting multidisciplinary psychological research across health, differential, and cognitive domains with strong methodological rigor in longitudinal and dynamic assessment approaches.

Kim Kielyمشاهده پروفایل

دانشیار مدعو

• Life-course epidemiology
• Social psychiatry
• Gero-psychology
• +۷ مورد دیگر

Dr. Kim Kiely is an Adjunct Senior Lecturer at the School of Psychology, Faculty of Science, University of New South Wales (UNSW) Sydney. He also holds an honorary senior research fellow position at the Ageing Futures Institute and has a conjoint appointment with Neuroscience Research Australia (NeuRA). Dr. Kiely's research adopts a contextualized perspective to human development across the life-course, spanning life-course epidemiology, social psychiatry, and gero-psychology. His primary research interests focus on healthy and productive ageing, examining behavioral and social determinants of mental health across the life-course, the social, functional and cognitive impacts of sensory loss in late life, dementia prevention, and social inequalities in healthy life expectancy. Dr. Kiely has published extensively in gerontology and aging research, with recent work focusing on the intersection of sensory impairment, cognitive decline, and driving safety in older adults. His research often employs longitudinal cohort studies to examine life-course determinants of healthy aging, with particular attention to socioeconomic factors and their impact on disability-free life expectancy. Dr. Kiely has received several prestigious awards including an NHMRC Early Career Fellowship, an Alzheimer's Australia Dementia Research Foundation fellowship, the Australian Psychological Society Prize, and the Australian Association of Gerontology RM Gibson Award. Dr. Kiely supervises PhD students including James Lian ("Childhood Adversity and Healthy Ageing") and Abigail Hanson ("The impact of age-related changes in trust and social cognition on older drivers' interaction with ADAS"). He has been awarded multiple competitive grants, including an ARC Linkage Project on Ageing drivers, an ARC Discovery Project on Healthy and working life expectancies, and an NHMRC Early Career Fellowship on Estimating and alleviating the impacts of age-related sensory decline. Dr. Kiely is actively involved in the PATH through Life Project and the Dynamic Analyses to Optimise Ageing (DYNOPTA) project, large-scale longitudinal studies examining aging in the Australian population.

Joanne Ryanمشاهده پروفایل

استاد

• Dementia
• Cognitive Aging
• Frailty
• +۶ مورد دیگر

Professor Joanne Ryan is a leading academic in the School of Public Health and Preventive Medicine at Monash University, heading the Biological Neuropsychiatry and Dementia Research Unit. She holds a PhD in neuropsychiatric epidemiology and has held prestigious fellowships, including NHMRC grants. Her research focuses on dementia prevention, cognitive aging, epigenetics, and interventions to improve healthspan. She leads major projects like the ASPREE-XT study and the STAREE-Mind trial, investigating statins' effects on brain health. Ryan is also an Honours Coordinator for Biomedical Science programs and contributes to editorial and advisory roles in health governance. Education: BSc (Honours) in Biochemistry, University of Melbourne Masters of Biostatistics, Monash University PhD in Neuropsychiatric Epidemiology, University of Melbourne & Université Montpellier 1 Research Interests: Preventative interventions for neuropsychiatric disorders Epigenetic biomarkers in mental health Healthy aging strategies Stress and trauma biological mechanisms Projects & Grants: Co-Principal Investigator on ASPREE-XT (aging study) Leadership in NHMRC-funded dementia prevention initiatives International collaborations on aging interventions Awards: NHMRC Investigator Grant (Leadership Level 1, 2022) NHMRC Dementia Research Leadership Fellowship (2017) Yulgilbar Foundation Post-doctoral Excellence Award (2016) Labs & Teams: Leads the Biological Neuropsychiatry and Dementia Unit, collaborating with Murdoch Children's Research Institute and INSERM on epigenetic and aging studies.

David Criensمشاهده پروفایل

استادیار

• Stochastic Analysis
• Stochastic Differential Equations
• Mathematical Finance
• +۷ مورد دیگر

David Criens is a Junior Professor for Mathematical Stochastics at the Department of Mathematical Stochastics, University of Freiburg. He holds a PhD from the Technical University of Munich and is actively engaged in research and teaching in stochastic analysis and mathematical finance. PhD, Technical University of Munich, 2020 Betreuung: Noam Berger His research focuses on stochastic differential equations , diffusion processes , nonlinear stochastic processes , and martingale problems , with applications in mathematical finance , including no-arbitrage theory and utility maximization. His work bridges theoretical probability and financial modeling. His recent publications show a strong trend in nonlinear stochastic processes , viscosity solutions to path-dependent PDEs , and robust finance under uncertainty . These works appear in high-impact journals such as Stochastic Processes and their Applications , Finance and Stochastics , and SIAM Journal on Financial Mathematics . Scientific awards include: Teaching Prize from the student body (Winterterm 2022/2023) He has advised or collaborated with several researchers, including Mikhail Urusov , Lars Niemann , Peter Pfaffelhuber , and Thorsten Schmidt . His teaching includes courses such as Stochastik , Markov Chains , and Stochastic Partial Differential Equations . He is affiliated with the Laboratory for Mathematical Stochastics at the University of Freiburg, contributing to both theoretical and applied research in stochastic modeling.