جست‌وجوی استاد و پژوهشگر

Shu Liمشاهده پروفایل

دانشیار

• Risk Theory
• Ruin Theory
• Stochastic Modeling
• +۴ مورد دیگر

Shu Li is an Associate Professor in the Department of Statistical and Actuarial Sciences at Western University's Faculty of Science. Their research focuses on risk theory, ruin theory, stochastic modeling, and predictive analytics in insurance and finance. Recent work includes advancements in generalized drawdown processes, active learning applications for variable annuity portfolios, and generalized Poisson regression models for insurance claims. Publications frequently appear in top-tier journals like Insurance: Mathematics and Economics and ASTIN Bulletin. Scientific awards include professional designations as Associate of the Society of Actuaries (ASA) and Associate of the Canadian Institute of Actuaries (ACIA). They supervise graduate students in research areas related to financial risk management and contribute to Canada’s Financial Wellness Lab.

• Analysis
• Geometry
• Probability
• +۳ مورد دیگر

Nicholas Marshall is an Assistant Professor in the Department of Mathematics at Oregon State University. His work bridges analysis, geometry, and probability with strong applications in data science. Current faculty: Oregon State University Postdoctoral training: Princeton University (NSF Fellowship) Doctoral training: Yale University Undergraduate education: Clarkson University His research focuses on: Interplay between geometric structures and probabilistic models Development of numerical methods for high-dimensional data Applications in cryo-electron microscopy and hyperdimensional computing Analysis of stochastic algorithms and convergence properties Recent publications indicate significant contributions to: Harmonic expansion techniques Equivariant function learning Momentum-accelerated optimization methods Binary hyperdimensional geometry NSF Postdoctoral Fellowship (Princeton) He actively mentors graduate and undergraduate students, including Wyatt Whiting, Peter Cowal, Heather Fogarty, and Seth Alderman. Teaching appointments include advanced courses in probability theory, numerical linear algebra, and mathematics of data science.

Alli Klappمشاهده پروفایل

مدرس ارشد

• Educational Psychology
• Assessment and Evaluation
• Student Motivation
• +۳ مورد دیگر

Alli Klapp serves as a Senior Lecturer and Head of Department at the Department of Education and Special Education, University of Gothenburg. She maintains an active research profile with numerous publications spanning educational psychology, assessment practices, and student development within Swedish and Nordic educational contexts. Her research interests focus on the complex interrelationships between student motivation, self-concept, and academic achievement, with particular emphasis on mathematics education. Klapp investigates how grading systems influence student motivation, how instructional quality affects learning outcomes, and the connections between students' well-being and academic performance. Her work often employs large-scale assessment data from Swedish compulsory schools and TIMSS studies, examining both psychological and structural factors that contribute to educational success. Klapp's recent publications (2023-2025) reveal a consistent research trajectory examining the psychological dimensions of learning, particularly in mathematics education. Her work frequently analyzes the relationships between self-concept, self-efficacy, and achievement, while also investigating how teaching quality, grading practices, and school environments impact student outcomes. Much of her research employs comparative approaches across school types and Nordic countries, utilizing sophisticated statistical methods to examine educational phenomena. While no specific awards are mentioned in the available information, Klapp's extensive publication record in reputable journals demonstrates significant scholarly contribution to the field of educational psychology and assessment. Her collaborative research network includes prominent scholars such as Anders Jonsson, Monica Rosén, and Yi Ding, with whom she has produced numerous studies on educational measurement and student development. Klapp's work has practical implications for educational policy and classroom practice, particularly regarding assessment systems and instructional approaches that support student motivation and achievement.

Birgit Lochمشاهده پروفایل

استاد

• Mathematics education
• Mathematics support
• Educational technologies
• +۵ مورد دیگر

Professor Birgit Loch is the Pro Vice-Chancellor, Learning & Teaching and Executive Dean of the Institute of Education, Arts and Community at Federation University Australia. She holds a PhD in computational mathematics and qualifications in tertiary teaching, management, and company direction, reflecting her interdisciplinary expertise. Her career spans leadership roles at multiple institutions, including the University of New England, La Trobe University, Swinburne University of Technology, and others, where she advanced teaching innovation and faculty development. Her research focuses on mathematics education, educational technologies, blended and online learning, pen-enabled tools, open educational resources, and fostering teaching-focused academic models. She champions student and staff experience enhancements through digital learning and peer-support initiatives, notably co-founding the WATTLE women’s leadership program. Recent publications highlight her work on teaching-focused faculty roles, pandemic-driven educational technologies, student-created resources, and interdisciplinary collaborations. Themes include reducing statistics anxiety, optimizing blended learning, and promoting equity through peer support. Australian Learning and Teaching Council Citation Australian Award for University Teaching Best concise paper award at Ascilite 2021 Several university teaching awards Loch’s grant and project history includes multi-institutional studies on technology adoption (e.g., tablet PCs, screencasts) and leadership in programs like PeCALE and SJIDE. She actively engages with professional networks, including the Australian Mathematical Society and ASCILITE.

Fan Yang Wallentinمشاهده پروفایل

استاد

• Structural Equation Modeling
• Multivariate Statistical Analysis
• Psychometrics
• +۳ مورد دیگر

Fan Yang Wallentin is a Professor in Statistics at Uppsala University, Sweden, where she works in the Department of Statistics. She serves as the Coordinator for International Exchange Programs and has been responsible for the statistical consultant service at the department since 2009. Her academic career is deeply rooted at Uppsala University, where she earned her PhD in Statistics in 1997. Her educational background includes: PhD in Statistics from Uppsala University (1997) Professor Wallentin's research primarily focuses on structural equation modeling and multivariate statistical analysis, with particular applications in social and behavioral sciences. Her work bridges theoretical statistical advancements with practical applications across diverse fields including public health, psychology, economics, and education. She has made significant contributions to psychometrics, particularly in the development and validation of measurement instruments used in healthcare and education settings. Her methodology work addresses specification issues, robustness properties, and computational aspects of statistical models. Her publication record demonstrates an evolving research trajectory that has recently incorporated pressing global issues such as the statistical analysis of the COVID-19 pandemic, while maintaining her core expertise in structural equation modeling and related methodologies. Her work often involves cross-disciplinary collaborations, reflecting the broad applicability of her statistical expertise across healthcare, energy policy, and development economics. Among her notable recognitions: Arnberg Prize from the Swedish Royal Academy of Sciences (2000) for her PhD thesis "Non-linear structural equation models: Simulation studies of the Kenny-Judd model" Professor Wallentin has extensive experience providing statistical consultation to researchers in social and behavioral sciences. Her role as Coordinator for International Exchange Programs suggests active engagement in global academic networks. Her research has been applied in diverse contexts including pandemic response analysis, women's empowerment through microfinance, healthcare quality assessment, and educational statistics, demonstrating the versatility and impact of her methodological contributions.

• Statistics
• Epidemiology
• Genetics
• +۷ مورد دیگر

Maria De Iorio is a Professor at the Yong Loo Lin School of Medicine and holds a joint appointment at the Faculty of Science , both at the National University of Singapore. Her work bridges statistics, epidemiology, and clinical sciences through advanced Bayesian modeling and computational methods. Key research areas: Statistics, Epidemiology, Genetics, Clinical sciences, Medical biochemistry Primary affiliations: Paediatrics department (YLLSoM) and interdisciplinary projects in Science faculty Recent publications focus on extreme value theory, digital numismatics, metabolomic simulations, and maternal-child health Her statistical innovations include: Repulsive mixture models for interpretable clustering Bayesian semi-parametric approaches for longitudinal studies Novel prior distributions for graphical models Application domains span: Pediatric oncology (ALL treatment response modeling) Metabolic syndrome analysis (obesity, diabetes, bone health) Digital humanities (coin distribution patterns, ceramic artifact analysis) Financial forecasting (discrete survival methods for invoice prediction)

Mark E. Bendenمشاهده پروفایل

استاد

• Ergonomics
• Occupational Health
• Childhood Obesity
• +۳ مورد دیگر

Mark E. Benden is a Professor and Director of the Center for Worker Health at Texas A&M University's Department of Environmental & Occupational Health. His research focuses on ergonomics and occupational health interventions targeting sedentary behavior, obesity, and workplace design across office and educational settings. Education: PhD in Interdisciplinary Engineering, Texas A&M University MS in Industrial Engineering, Texas A&M University BS in BioEngineering, Texas A&M University Dr. Benden's work pioneers stand-capable workstation implementations, demonstrating measurable impacts on physical activity, productivity, and health outcomes. His research spans childhood obesity interventions in classrooms, remote worker ergonomics, and digital human modeling applications. He has developed patented ergonomic solutions including adjustable footrests and deployable floor mats that address workplace sedentariness. His 2024-2025 publications reveal expanding focus areas: accessibility of assistive technology, health equity in obesity interventions, and specialized ergonomic challenges in dental professions. Recent work increasingly integrates digital human modeling for remote work solutions while maintaining core emphasis on sedentary behavior reduction. Scientific Awards: Fellow, National Academy of Inventors (2023) Innovation Award, Texas A&M System (2018) Inc 5000 Company Honor, Stand2Learn (#567 Fastest Growing Company) (2018) Aggie 100, Stand2Learn (#5) (2018) US Top 10 Most Innovative Product Designer, Healthcare Design Magazine (2008) Buildings Magazine Editor's Top 100 for Ntune Seating System (2007) Platinum ADEX Award for NeXtepTM and BalanceTM Chair (2005-06) Platinum ADEX Award for AbStoolTM (2004-05) As Director of the Center for Worker Health, Dr. Benden leads research translating ergonomic principles into commercial products through Stand2Learn, which achieved national recognition as a top-growing company. His work informs ANSI/HFS 100 computer workstation standards and drives evidence-based interventions for worker health improvement.

Pei-Hsun Hsiehمشاهده پروفایل

پژوهشگر

• Political Economics
• Political Psychology
• Climate Change Policy
• +۴ مورد دیگر

Pei-Hsun Hsieh is a Postdoctoral Researcher at the University of Pennsylvania, focusing on political and social behavior in democratic societies. They hold a Ph.D. in Political Science from Stony Brook University (2023) and specialize in examining public perceptions of government influence, electoral behavior, and policy support for inequality and climate change mitigation. Doctoral Degree: Political Science, Stony Brook University, 2023 Dr. Hsieh combines theory-driven and data-driven methodologies, including natural language processing, statistical modeling, economic games, and agent-based simulations. Their work explores the intersection of political economy, social norms, and environmental policy through large-scale social media analysis and behavioral experiments. Key research trends include analyzing how crises like pandemics affect climate change discourse, redistributive preferences under merit-based systems, and the role of emotions in policy debates. Publications span journals like PNAS, Journal of Environmental Psychology, and Humanities and Social Sciences Communications. Teaching includes Computational Text Analysis for Social Sciences , covering machine learning and NLP techniques. Current projects investigate plant-based diets as climate solutions, sanction effectiveness in international politics, and the dynamics of norm strength in cooperative settings. Affiliated with the Center for Social Norms and Behavioral Dynamics and the Philosophy, Politics, and Economics program at UPenn, they apply computational methods to understand political behavior, policy preferences, and institutional trust.

Jason Braaschمشاهده پروفایل

دانشیار

• Critical Thinking
• Reading Comprehension
• Source Evaluation
• +۵ مورد دیگر

Jason Braasch serves as an Associate Professor in the Department of Learning Sciences at Georgia State University's College of Education and Human Development. He maintains an active affiliation with the university's Adult Literacy Research Center, contributing to interdisciplinary initiatives focused on literacy development. His academic preparation includes: Ph.D. in Psychology, University of Illinois at Chicago (2009) M.A. in Psychology, University of Illinois at Chicago (2006) B.A. in Psychology, University of Wisconsin-Milwaukee (2001) Dr. Braasch's research program centers on critical thinking processes during internet-based reading, with particular emphasis on source evaluation mechanisms and individual differences in learning. His work investigates how readers assess content credibility, navigate conflicting information, and develop strategies for discerning trustworthy sources. This research has direct implications for educational interventions aimed at improving digital literacy across diverse learner populations. Analysis of his recent publications (2021-2025) reveals consistent focus on multiple source comprehension, particularly regarding health-related controversies (e.g., vaccination debates), belief-driven processing biases, and contextual factors affecting conflict detection. His scholarship demonstrates increasing integration of epistemic cognition frameworks with practical classroom applications, showing how intellectual humility and mindset theories influence information processing. Dr. Braasch has secured external research funding from prominent organizations including the Spencer Foundation and Facebook, supporting his investigations into internet literacy and critical reading development. As an active researcher within the Adult Literacy Research Center, he contributes to advancing evidence-based practices for literacy instruction while mentoring graduate students in learning sciences methodology and research design.

Adam S. Greenbergمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Attention Mechanisms
• Neuroimaging
• +۶ مورد دیگر

Dr. Adam S. Greenberg is a neuroscientist and biomedical engineer with dual appointments as Associate Professor at the Joint Department of Biomedical Engineering (Medical College of Wisconsin/Marquette University) and Secondary Appointment in the Department of Ophthalmology and Visual Sciences . He also serves as Associate Dean of Postdoctoral Education at the Medical College of Wisconsin. PhD in Psychological & Brain Sciences (Johns Hopkins University, 2010) M.S. in Biomedical Engineering (University of Alabama at Birmingham, 2001) B.S. in Biomedical Engineering (Case Western Reserve University, 1996) His research focuses on the cognitive neuroscience of attention , particularly investigating brain network dynamics using fMRI , transcranial magnetic stimulation , and computational modeling . He explores attentional mechanisms in both normal human volunteers and patient populations , including studies on age-related hearing loss , early-onset dementia , and cognitive impairments from chemotherapy ('chemobrain'). Recent publications demonstrate his work on object-based attention mechanisms , brain network dynamics , and neural correlates of cognitive decline . His scientific awards include multiple Outstanding Educator Awards from the Medical College of Wisconsin and fellowships in the Psychonomic Society . Dr. Greenberg has advised numerous graduate students and postdoctoral researchers , with a particular focus on neuroimaging studies and cognitive neuroscience research. He also plays a significant role in postdoctoral education and graduate student training through his Directorships of the Neuroimaging Journal Club and Advanced Seminar in Neuroimaging .

Yuki Shiraitoمشاهده پروفایل

استادیار

• Political Methodology
• Bayesian Statistics
• Computational Social Science
• +۳ مورد دیگر

Yuki Shiraito is an Assistant Professor of Political Science at the University of Michigan, with affiliations to the Center for Political Studies (CPS), Center for Japanese Studies (CJS), and the Michigan Institute for Data Science (MIDAS). He holds a PhD in Politics from Princeton University (2017) and previously served as a postdoctoral fellow at Dartmouth College’s Program of Quantitative Social Science. His research focuses on political methodology, particularly Bayesian statistical models and large-scale computational algorithms for data analysis, with applications to international relations and comparative politics. Shiraito’s scholarly work addresses topics such as autocratic legitimacy, public opinion on immigration and international law, and the methodological challenges in text classification and conjoint analysis. His contributions span academic journals including the American Political Science Review , Political Analysis , and European Political Science Review . He has also developed open-source software for improving text classification efficiency (e.g., the R package activeText ). His educational background includes an LLM and LLB from the University of Tokyo, reflecting interdisciplinary training in law and political science. Shiraito’s research and teaching emphasize the intersection of computational methods with substantive political questions, particularly in contexts involving Japan and other East Asian democracies. His current projects explore topics such as gendered policy preferences and the role of international organizations in shaping domestic policy support.

Kelly E. Dunnمشاهده پروفایل

استاد

• Addiction Medicine
• Opioid Use Disorder
• Substance Use Disorders
• +۳ مورد دیگر

Dr. Kelly E. Dunn is a Professor of Psychiatry and Neurobiology at the University of Maryland School of Medicine , and the Director of the Kahlert Institute for Addiction Medicine . With over two decades of experience, she focuses on opioid use disorder (OUD), pain management, and substance use epidemiology. Her research bridges clinical and translational studies, addressing OUD prevention, treatment innovation, and harm reduction strategies. Education: B.A. in Psychology and Philosophy, SUNY Oswego (2002) M.S. in Applied Biopsychology, University of New Orleans (2005) Ph.D. in Human Behavioral Pharmacology/Experimental Psychology, University of Vermont (2009) Postdoctoral Training in Clinical Pharmacology, Johns Hopkins University (2011) M.B.A. in Healthcare Management, Johns Hopkins Carey School of Business (2019) Research Interests: Dr. Dunn’s work emphasizes OUD mechanisms, medication development, and comorbid pain management. She explores fentanyl/xylazine interactions, withdrawal management, and policy interventions to address the opioid crisis. Her studies often integrate behavioral and pharmacological approaches, with a focus on vulnerable populations. Key Contributions: She has authored over 150 peer-reviewed publications and secured >$20M in NIH grants. Her leadership roles include editorships of journals like Experimental and Clinical Psychopharmacology and Journal of Addiction Medicine , and presidencies of professional societies like the College on Problems of Drug Dependence. Awards: Young Psychopharmacologist Award (APA Division 28) Joseph Cochin Young Investigator Award (CPDD) APA Fellow Grants & Labs: Dr. Dunn leads NIH-funded projects on OUD pharmacotherapy and pain-OUD comorbidity. Her lab collaborates with institutions like Johns Hopkins and the National Institute on Drug Abuse (NIDA), focusing on clinical trials and real-world implementation of safer treatments.

Paola Mercoglianoمشاهده پروفایل

پژوهشگر

• Climate Modeling
• Regional Climate Systems
• Geo-Hydrological Hazards
• +۵ مورد دیگر

Paola Mercogliano is a Principal Scientist at the CMCC Foundation and Director of the Division of Regional Models and Geo-Hydrological Impacts. With over 25 years of expertise in atmospheric and climate modeling, she specializes in high-resolution numerical models and data-driven tools for weather forecasting and climate scenario simulations at local/urban scales, focusing on extreme events and geo-hydrological hazards. Coordinates EU Adaptation AGORA project under Mission on Climate Adaptation Scientific leader of Dataclime platform for climate data visualization President of Italian Society of Climatology (2025–2026) Her research integrates climate science into policy and territorial planning, emphasizing climate risk assessment, urban resilience, and public-private stakeholder engagement. She has authored >80 publications and leads climate literacy initiatives through university partnerships. Scientific Contributions: Developed frameworks for climate risk assessment of built environments and airports Explored convection-permitting simulations for extreme precipitation Advanced urban parameterization in ICON and COSMO models Her work spans climate projections, wind energy analysis, irrigation demand under climate change, and socio-economic impacts of climate risks. Scientific Awards: President of Italian Society of Climatology (2025–2026) She actively contributes to climate outreach through educational programs and digital academies, bridging climate science with policy implementation.

Michael Fosterمشاهده پروفایل

پژوهشگر

• Software Testing
• Causal Inference
• Model Inference
• +۳ مورد دیگر

Dr. Michael Foster is a Researcher and Research Software Engineer at the School of Computer Science, University of Sheffield. He specializes in software testing methodologies, causal inference, and formal methods for system modeling. His work focuses on developing tools for automated model inference, particularly Extended Finite State Machines (EFSMs), and applying causal reasoning to improve software testing. Education: PhD in Computer Science (2017-2020) from the University of Sheffield, supervised by Prof. John Derrick and Dr. Achim Brucker. His doctoral research addressed EFSM inference from black-box software execution traces, integrating genetic programming and formal verification techniques. Research Projects: Principal contributor to the CITCoM project, applying causal inference to computational model testing. Developed the causal testing framework and EFSM inference tool, which formalizes model merging and data dependency analysis. Explored metamorphic testing, automated verification of trace properties, and active learning techniques for EFSMs. Key Contributions: Published extensively on causal testing, EFSM inference, and algorithmic testing strategies. His work bridges formal methods with practical software engineering challenges, emphasizing automated tools and rigorous validation frameworks.

Anja Eggertمشاهده پروفایل

پژوهشگر

• Applied biological statistics
• Ecological statistics
• Ecosystem modeling
• +۴ مورد دیگر

Anja Eggert (PhD in Marine Biology) is a Researcher at the Leibniz Institute for Farm Animal Biology (FBN) , where she has served as Head of the Data Service Centre since 2025 and previously led the Service Group Statistical Consulting (2018–2024). Her work bridges biological research with advanced statistical methodologies. Education: Diplom in Biology (University of Rostock, 1990–1991) Exchange student (University of Maryland, USA, 1994–1995) Diplom in Biology (University of Bremen, 1991–1997) PhD in Marine Biology (University of Groningen, 1997–2001) Research interests focus on applied biological and ecological statistics , with a strong emphasis on numerical modeling of ecosystems and adaptation of organisms to environmental stress . Her work spans marine and agricultural systems, including: Biogeography, chemotaxonomy, and evolution of marine organisms Statistical analysis of heat stress impacts on livestock (goats, pigs, cows) Behavioral studies in pigs and goats related to social cognition Environmental monitoring and contamination assessment in marine ecosystems Publications reflect interdisciplinary trends in animal science , ecological statistics , and environmental adaptation . Key subfields include nutritional metabolism , reproductive biology , behavioral ecology , and climate impact studies . Professional activities include participation in projects such as: BMBF's Environmental monitoring for the delaboration of munition in the sea (UDEMM, 2016–2017) BMBF's Biological impacts of ocean acidification (BIOACID, 2016) EU-BONUS-Project Integrated carbon and trace gas monitoring for the Baltic Sea (INTEGRAL, 2017–2018) BMBF's Geochemistry and Ecology of the Namibian Upwelling System (GENUS, 2009–2015) Labs and teams include collaborations with institutions like the Leibniz Institute for Baltic Sea Research Warnemünde (IOW) and Helmholtz Centre for Ocean Research Kiel (GEOMAR) , alongside interdisciplinary work at FBN on data science and agricultural efficiency.