جست‌وجوی استاد و پژوهشگر

Sylvia Walbyمشاهده پروفایل

استاد

• Violence and Society
• Gender-Based Violence
• Trafficking in Human Beings
• +۴ مورد دیگر

Professor Sylvia Walby is a faculty member at Royal Holloway, University of London, within the Department of Law and Criminology, School of Law and Social Sciences. She holds the Alexander von Humboldt Foundation Anneliese Maier Research Award, hosted by the University of Duisburg-Essen (2018–2025), and has held visiting positions at institutions including UCLA and Harvard. Current research focuses on violence and society, including gender dimensions, trafficking, and complex systems theory. Her work contributes to Sustainable Development Goals (SDGs), particularly those addressing gender equality and reduced inequalities. Key publications include Trafficking Chains: Modern Slavery in Society (2024) and methodological contributions to violence measurement. Her research spans criminology, sociology, and gender studies, emphasizing policy engagement and data-driven approaches. Recent articles analyze violent crime trends, trafficking data integration, and violence measurement in crime surveys. These works highlight intersections of gender, policy, and statistical methodologies. Scientific awards include Fellowships from the British Academy and Academy of Social Sciences, an OBE, and an honorary doctorate from Queen’s University Belfast. She has served as Chair of the REF2021 Sociology Sub-Panel and held leadership roles in the International Sociological Association and European Sociological Association.

Kimberly Keil Stietzمشاهده پروفایل

استادیار

• Environmental Toxicology
• Neurotoxicology
• Urology
• +۴ مورد دیگر

Kimberly Keil Stietz is an Assistant Professor in the Department of Comparative Biosciences at the University of Wisconsin-Madison School of Veterinary Medicine. Her research focuses on environmental toxicology, neurotoxicology, and urology, particularly examining how developmental exposure to polychlorinated biphenyls (PCBs) affects urinary function. Education: B.S. in Biology, St. Norbert College (2010) Ph.D. in Comparative Biosciences, University of Wisconsin-Madison (2014) Postdoctoral research in neurotoxicology, University of California-Davis (2015-2019) Stietz's lab investigates the effects of environmental contaminants on the lower urinary tract, emphasizing PCB exposure during development. Using in vitro and in vivo mouse models, the lab studies disruptions in bladder epithelium organization, nerve fiber patterning, inflammation, and peripheral-central nervous system crosstalk. Key projects include analyzing PCB impacts on bladder barrier function, innervation patterns, inflammatory responses, and dorsal root ganglia signaling. Recent publications highlight her work on PCB effects across multiple domains: adult female bladder contractility (2023), prostatic collagen changes (2023), machine learning-aided metabolite analysis (2023, 2022), and developmental PCB exposure links to voiding physiology (2022). Her 2021 studies explored behavioral phenotypes in PCB-exposed mice, dendritic effects, and bladder inflammation, while 2019 work included host-microbe interactions and open-source uroflowmetry tools.

Eric Bettingerمشاهده پروفایل

استاد

• Economics of Education
• Higher Education
• Student Success and Completion
• +۵ مورد دیگر

Eric Bettinger is the Conley DeAngelis Family Professor in the Stanford University School of Education and a Senior Fellow at the Hoover Institution. He also holds appointments as a Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR) and Professor (by courtesy) of Economics. Bettinger directs the Center for Educational Policy Analysis and the Lemann Center for Brazilian Education at Stanford, and serves as a research associate with the National Bureau of Economic Research. His educational background includes a Ph.D. in Economics from the Massachusetts Institute of Technology (2000) and a B.A. in Economics, Magna cum Laude with Honors, from Brigham Young University (1996). Bettinger's research focuses on the economics of education, with particular emphasis on student success and completion in college, the impacts of online education, financial aid effects, teacher characteristics, and voucher programs. His work employs rigorous statistical methods to identify cause-and-effect relationships in higher education. Notably, his research on simplifying financial aid applications has directly influenced White House efforts to streamline financial aid processes, demonstrating the real-world policy impact of his scholarship. His recent publications reveal consistent focus on educational interventions, technology in education, and policy evaluation. Bettinger's work spans multiple methodologies including randomized controlled trials, natural experiments, and large-scale data analysis. His research often addresses practical educational challenges while maintaining strong theoretical foundations in economics. Bettinger has served as a consultant to the White House and various state governments on financial aid policies, translating academic research into actionable policy recommendations. His work bridges the gap between academic scholarship and practical educational policy implementation. As an academic leader, Bettinger directs multiple research centers and has advised numerous doctoral students. His current advisees include Joseph Moore, Sergio Arango, Michelle Blair, Dallas Gilmore, Gabriel Koraicho, and postdoctoral researcher Saloni Gupta.

Anthony D. Ongمشاهده پروفایل

استاد

• Developmental Psychology
• Affective Science
• Behavioral Medicine
• +۷ مورد دیگر

Anthony D. Ong is a Professor of Psychology in the College of Human Ecology at Cornell University and Director of the Center for Integrative Developmental Science and Human Health Labs. He also holds a research appointment at Weill Cornell Medicine as a Professor of Gerontology in Medicine. He earned his Ph.D. in developmental psychology from the University of Southern California and completed postdoctoral training in adult development and aging at the University of Notre Dame. His research focuses on lifespan dynamics of vulnerability and adaptation, integrating perspectives from affective science, developmental psychology, and behavioral medicine. Key themes include positive emotions and health, neurobiological mechanisms of cultural experiences, social determinants of aging, and resilience processes. He is currently on sabbatical for the 2025–2026 academic year. Educational Background Ph.D. in Developmental Psychology, University of Southern California Postdoctoral Training in Adult Development and Aging, University of Notre Dame Research Interests Ong’s work examines how psychological, social, and biological factors interact to influence health and well-being across the lifespan. He investigates topics such as the role of positive emotions in mitigating disease, the impact of social isolation and loneliness in later life, the neurobiology of cultural experiences, and the buffering effects of positive experiences against genetic risks for depression. His studies often employ advanced statistical methods and longitudinal designs to capture dynamic processes. Labs and Collaborations He directs the Human Health Labs and the Center for Integrative Developmental Science, fostering interdisciplinary research on human development and health. His collaborations span institutions like Weill Cornell Medicine, emphasizing translational research in gerontology and behavioral health.

Toni Whitedمشاهده پروفایل

استاد

• Financial Economics
• Corporate Finance
• Structural Estimation
• +۲ مورد دیگر

Toni Whited is a Professor of Economics at the University of Michigan's Department of Economics, within the College of Literature, Science, and the Arts (LSA). She holds a Ph.D. from Princeton University and has held prior academic positions at the University of Wisconsin, the University of Rochester, and the Ross School of Business. Her research focuses on corporate finance, structural estimation, and corporate investment. She has been recognized with prestigious awards including the Jensen Prize and Brattle Prize. As editor-in-chief of the Journal of Financial Economics, she actively shapes financial economics discourse. Her work integrates structural econometric methods to analyze corporate finance decisions, monetary policy transmission, and the real effects of financial policies. Notable projects include studies on tax impacts on corporate leverage, central bank digital currencies (CBDC), and the role of relative performance evaluation in strategic competition. Whited emphasizes reproducibility in economic research and advocates for rigorous empirical methodologies. Her academic contributions span over three decades, with a strong emphasis on bridging theoretical models and real-world policy implications. She has advised on financial regulatory frameworks and contributed to foundational debates in empirical finance. Whited's current research explores topics such as CBDC effects on banking systems and the interplay between equity market misvaluation and corporate policies.

Guanghao Qiمشاهده پروفایل

استادیار

• Statistical Genetics
• Genomics
• Single-cell RNA Sequencing Analysis
• +۳ مورد دیگر

Guanghao Qi is an Assistant Professor in the Department of Biostatistics at the University of Washington. His research focuses on developing statistical and machine learning methods for multi-omics approaches in genetic studies, particularly integrating single-cell RNA-seq, GWAS, and functional genomic data. Key areas include single-cell eQTL analysis, Mendelian randomization, and multi-trait genetic association analyses. Education: PhD in Biostatistics from Johns Hopkins Bloomberg School of Public Health (2020), BS in Mathematics from Fudan University (2015). Research interests emphasize high-dimensional data analysis, allele-specific expression in single cells, and causal inference using genetic variants. Notable achievements include a 2025 NIH K01 award for developing methods to integrate single-cell eQTL and GWAS data, and the development of the TWiST method for single-cell transcriptome-wide association studies. Recent work highlights advancements in computational tools like SURGE for context-specific genetic regulation analysis, and evaluations of Mendelian randomization methods in studies of type 2 diabetes and cardiovascular disease. His work often bridges computational biology and statistical theory to address challenges in interpreting large-scale genomic datasets. Awards: NIH K01 Award (2025) Key Contributions: TWiST method (2025), SURGE framework (2024), HIPO power optimization (2018) Labs/Teams: Active collaborations in genomic epidemiology and statistical genetics, with a focus on single-cell multi-omics integration and causal inference methodologies.

Donya Hajializadehمشاهده پروفایل

دانشیار

• Structural Health Monitoring
• Machine Learning
• Asset Management Systems
• +۴ مورد دیگر

Dr Donya Hajializadeh is an Associate Professor of Structural Engineering at the University of Surrey's School of Sustainability, Civil and Environmental Engineering. She holds multiple professional qualifications including Chartered Engineer (CEng) and European Engineer (EUR ING), and is a Fellow of the Higher Education Academy (FHEA). Her roles include Director of Employability (since 2020), Deputy Coordinator of the Surrey/ICE Scholarship (since 2019), and IStructE Liaison Officer (since 2021). She is also affiliated with the Surrey Institute for People-Centred Artificial Intelligence (PAI). Her education includes a BEng (Hons), MEng, and PhD in relevant fields. Research focuses on structural health monitoring (SHM), machine learning applications in asset management, and deep learning for damage identification. Key areas include railway bridge dynamics, vibration analysis, and resilience assessment under seismic and environmental hazards. Current PhD students include Chia Sadik (Transport Infrastructure Failure Assessment) and Michael Millgate (Dynamic Characterisation of Tall RC Buildings). Teaching responsibilities include ENG1073 Fluid Mechanics and ENGM054 Earthquake Engineering. Research aligns with sustainable development goals, emphasizing infrastructure sustainability and carbon reduction strategies. Notable projects include rail bridge innovation recognized by the Chief Scientific Adviser Award and presentations on damage identification techniques to government officials. She contributes actively to interdisciplinary initiatives, integrating AI with civil engineering for smarter infrastructure solutions.

Negin Alemazkoorمشاهده پروفایل

استادیار

• Infrastructure Systems
• Artificial Intelligence
• Renewable Energy
• +۷ مورد دیگر

Negin Alemazkoor is an Assistant Professor at the University of Virginia's School of Engineering and Applied Science, specializing in interdisciplinary research on infrastructure resilience. Her work focuses on developing AI-driven methodologies for analyzing interconnected systems like power grids, urban flood models, and transportation networks under uncertainty. Key areas include enhancing grid reliability through multi-fidelity modeling, hurricane evacuation equity analysis, and precision-compression techniques for large-scale data. She co-leads a NSF-funded initiative to democratize AI education in high schools. Her research integrates graph neural networks, physics-informed models, and machine learning to address challenges in energy systems, environmental monitoring, and disaster response. Notable projects include hurricane-induced power outage risk analysis under climate change and precision guarantees for smart-meter data analytics. She emphasizes computational efficiency and multi-fidelity approaches to balance accuracy with resource constraints. Recent contributions span AI applications in flood forecasting, renewable energy integration, and infrastructure cybersecurity. Her NSF grant aims to create inclusive AI curricula, reflecting her commitment to education and societal impact. She is affiliated with UVA Engineering’s research initiatives on resilient systems and data-driven decision-making.

Richard L. Smithمشاهده پروفایل

استاد

• Extreme Value Theory
• Spatial Statistics
• Time Series Analysis
• +۴ مورد دیگر

Richard L. Smith is the Mark L. Reed III Distinguished Professor of Statistics and holds a joint appointment in Biostatistics at the University of North Carolina's Gillings School of Global Public Health. He also serves as Director of the Statistical and Applied Mathematical Sciences Institute. With a PhD from Cornell University (1979) and prior roles at Imperial College, University of Surrey, and Cambridge University, his academic career spans over four decades. His research focuses on extreme value theory, spatial statistics, time series analysis, and applications to climate science, environmental pollutants, and air pollution epidemiology. He has authored influential works such as the Handbook of Environmental and Ecological Statistics and contributed to studies linking air quality to health outcomes in California. Dr. Smith has received prestigious awards including the Guy Medal in Silver from the Royal Statistical Society and is a Fellow of both the American Statistical Association and the Institute of Mathematical Statistics. He actively serves on boards like the EPA Science Advisory Board and the Board of Reviewing Editors of Science . He teaches advanced courses such as Time Series and Multivariate Analysis (STOR 754) and Bayesian statistical methods. His work bridges theoretical statistics with real-world challenges in environmental and public health domains.

Gaye Stephensمشاهده پروفایل

استادیار

• Health Informatics
• Electronic Health Records
• Patient Engagement
• +۴ مورد دیگر

Gaye Stephens serves as Assistant Professor in the School of Computer Science and Statistics at Trinity College Dublin, where she is a core member of the Centre for Health Informatics alongside Dr. Lucy Hederman and Prof. Mary Sharp. She actively contributes to institutional governance as a board member of the Irish Platform for Patient Organisations, Science and Industry (IPPOSI) and serves on the school's research ethics committee. Her research centers on patient-centered health informatics with focus areas including Electronic Health Record design , citizen engagement methodologies (such as Citizen Juries and Think-ins), and scalable information models for healthcare integration. She pioneers approaches that position patients as central stakeholders in health data governance, addressing critical challenges in digital health literacy, informed consent frameworks, and interoperability between legacy and emerging health technologies. Analysis of her recent publications reveals consistent focus on knowledge engineering for healthcare , with particular emphasis on temporal data modeling in knowledge graphs (2024-2025), nurse knowledge elicitation through serious games (2023-2024), and novel methodologies like the WICKED framework for capturing clinical wisdom (2022-2023). Her work consistently bridges technical informatics with human-centered design principles. Stephens actively contributes to national health informatics infrastructure through memberships in: Royal Academy of Medicine of Ireland Council of Clinical Information Officers National Standards Authority of Ireland Health Informatics Group Health Informatics Society of Ireland (including Nursing and Midwifery group) e-Health Ireland ECOSYSTEM working group She supervises across undergraduate, MSc (Health Informatics and Global Health), and PhD programs while leading client-based final year projects. Her teaching portfolio includes Introduction to Health Informatics, Information Modeling, Connected Health, and Electronic Health Record Architectures, with research advising spanning health data governance and patient engagement projects. Stephens co-leads the Knowledge and Data Engineering Group's Health Informatics research stream, focusing on semantic interoperability, adaptive hypermedia systems, and novel engagement models for health data governance. Her current projects emphasize citizen-centered EHR architectures and interdisciplinary approaches to healthcare data integration.

Jinhan Kimمشاهده پروفایل

پژوهشگر

• Software Engineering
• Mutation Testing
• Fault Localization
• +۴ مورد دیگر

Jinhan Kim is a Postdoctoral Researcher at the Università della Svizzera italiana (USI) in the Faculty of Informatics, working in the TAU lab under Prof. Paolo Tonella. He earned his Ph.D. from KAIST under Prof. Shin Yoo, focusing on software engineering research in mutation testing, fault localization, and deep learning system testing. His work bridges traditional software engineering techniques with AI-driven methodologies, emphasizing AI4SE and SE4AI paradigms. Education: Ph.D. in Software Engineering, KAIST, 2023 Research Interests: Mutation Testing Deep Learning System Testing Autonomous Systems Testing Adversarial Attack Detection Empirical Software Engineering Service and Leadership: Organized SBFT 2026 and DeepTest 2026 (co-located with ICSE 2026) Program Committee Member for ASE, ISSTA, Mutation, and DeMeSSAI Board of Distinguished Reviewers for TOSEM (2024–2025) Labs and Teams: Active contributor to the TAU Lab at USI, focusing on advanced software testing and AI integration.

• Armed Conflict
• Political Repression
• Geospatial Data Science
• +۳ مورد دیگر

Yuri Zhukov is an Associate Professor at Georgetown University, holding dual appointments in the Edmund A. Walsh School of Foreign Service and the Department of Government (College). His research focuses on armed conflict, state repression, and geospatial data science, with notable work on the Russian invasion of Ukraine and historical legacies of political violence. He earned his Ph.D. in Government from Harvard University, an M.A. in National Security Studies from Georgetown, and a B.A. in International Relations from Brown University. Education: Ph.D., Government, Harvard University M.A., National Security Studies, Georgetown University B.A., International Relations, Brown University His research interests span the intersection of political violence and quantitative methods. He has pioneered geospatial analysis tools like VIINA to track conflict incidents and developed databases such as xSub for subnational violence studies. His work on Ukraine’s economic resilience during the 2022 invasion and vaccine hesitancy in low-income countries highlights his interdisciplinary approach to global challenges. His articles frequently address modern warfare dynamics, repression strategies, and historical conflict impacts. Awards include the 2015 Bruce Russett Award for excellence in conflict research. Zhukov’s advising and grants focus on military conflict, authoritarian regimes, and global health policy, reflecting his commitment to understanding systemic drivers of violence and governance.

• Semiparametric Estimation
• Nonparametric Regression
• Robust Statistics
• +۳ مورد دیگر

Dr. Serhan Sadikoglu is an Assistant Professor at Tilburg University's Tilburg School of Economics and Management (TiSEM), Department of Econometrics and Operations Research. He earned his PhD in Econometric Theory from Tilburg University in 2019. His research focuses on econometric theory, semiparametric estimation, robust statistics, and panel data analysis. He has published in prestigious journals such as Econometric Reviews and Econometrics Journal , with recent work addressing nonseparable panel models and robust estimation techniques. Sadikoglu teaches courses including Quantitative Methods, New Venture Creation and Growth, and Statistics for Econometrics. His research emphasizes methodological contributions to econometrics, particularly in handling complex data structures and improving estimation robustness.

• Primatology
• Animal Behavior
• Evolutionary Anthropology
• +۳ مورد دیگر

Ian Gilby is an Associate Professor at the School of Human Evolution and Social Change, Arizona State University. His research focuses on the social behavior, ecology, and cognition of wild chimpanzees, particularly within the context of long-term studies at Gombe National Park, Tanzania. Gilby investigates topics such as cooperative hunting, dominance hierarchies, social bonding, and the influence of ecological factors on primate behavior. His work bridges primatology, evolutionary biology, and conservation science, with a strong emphasis on understanding the adaptive strategies of chimpanzees in complex social environments. Key themes in Gilby’s research include the evolution of cooperation, reproductive strategies, and the ecological drivers of social behavior. He has contributed significantly to studies on chimpanzee aggression, hunting tactics, and the role of vocal communication in group coordination. His findings highlight the intricate relationship between social structure, ecological conditions, and individual success in primate communities. Notably, Gilby is involved in the Gombe Chimpanzee Project, analyzing long-term datasets to address questions about data sharing in conservation science and the impacts of environmental changes on wildlife. While no formal awards or grants are explicitly mentioned in the provided texts, his extensive publication record underscores his expertise in primate behavior and ecology.

Diane Guignardمشاهده پروفایل

استادیار

• Numerical Analysis
• Applied Mathematics
• Computational Mathematics
• +۶ مورد دیگر

Diane Guignard is an Assistant Professor in the Department of Mathematics and Statistics at the University of Ottawa. Her research focuses on numerical analysis, partial differential equations, and computational methods with applications to mechanics and stochastic systems. She holds a position in a leading mathematics department and can be contacted at dguignar@uOttawa.ca . Her research interests include finite element methods, model reduction, uncertainty quantification, and optimal transport-based mesh adaptation. She explores nonlinear approximation theories for high-dimensional anisotropic functions and develops computational frameworks for thin structures and colloidal flow simulations. Her work bridges numerical analysis with practical engineering challenges, emphasizing adaptive algorithms and error estimation techniques. Her recent publications (2021-2024) highlight contributions to goal-oriented mesh adaptation, stochastic field approximations on surfaces, and large deformation analyses of prestrained plates. These studies emphasize interdisciplinary approaches combining mathematical rigor with computational innovation. Dr. Guignard has not been explicitly noted for awards in the provided materials. Her advising record is currently unspecified, though her research group likely engages in advanced numerical methods and computational mechanics projects.