جست‌وجوی استاد و پژوهشگر

Leah Boustanمشاهده پروفایل

استاد

• Economic History
• Labor Economics
• Migration Studies
• +۷ مورد دیگر

Leah Boustan is a Professor of Economics and Director of the Economic History Program at Yale University. She is a research associate at the National Bureau of Economic Research (NBER), where she co-directs the Development of the American Economy Program, and serves as co-editor of the American Economic Journal: Applied Economics . Her research lies at the intersection of economic history and labor economics, with a focus on migration, intergenerational mobility, and racial economic disparities. She employs large-scale historical datasets, particularly digitized U.S. census records, to study long-term economic trends. Her work has demonstrated that children of immigrants consistently achieve higher economic mobility than children of the U.S.-born, and that immigrants assimilate culturally and economically at rates comparable across historical periods. The themes in her recent publications reflect a strong emphasis on empirical methods, historical data linkage, and policy-relevant findings. Her research spans topics such as immigrant incarceration, enclave effects, occupational assimilation, and the economic impacts of the Great Black Migration. She has also contributed to understanding political discourse on immigration through textual analysis of congressional speeches. Alfred P. Sloan Research Fellowship (2012) IZA Young Labor Economist Award (2019) Fellow of the Econometric Society (2022) Fellow of the Society of Labor Economists (2024) Allan Sharlin Memorial Book Award Alice Hanson Jones Award Boustan has advised major research initiatives such as the Census Linking Project, which enables longitudinal analysis of historical U.S. census data. She has not publicly listed formal PhD or Master’s students in the provided materials. Her work is supported by prestigious fellowships and institutional affiliations, and she plays a key role in shaping research agendas in urban economics and economic history through editorial leadership. She is affiliated with interdisciplinary research teams focused on digitizing and analyzing historical records, and her collaborations with scholars like Ran Abramitzky have produced influential books and policy insights. Future work is likely to expand on big data applications in economic history and intergenerational inequality.

Dong Ngo Duyمشاهده پروفایل

دانشیار

• Connected and Autonomous Vehicles
• Traffic Flow Theory and Simulation
• Data Fusion
• +۷ مورد دیگر

Dong Ngo Duy is an Associate Professor in the Department of Civil & Environmental Engineering at Monash University, where he serves as the Head of the Transport Section. He holds a PhD in Traffic Flow Theory and Simulation from Delft University of Technology and has held academic positions at the University of Leeds (UK), University of Canterbury (NZ), and now Monash University (Australia). PhD, Traffic Flow Theory, Technische Universiteit Delft (2006) MSc, Traffic Engineering, Linköpings Universitet (2002) His research focuses on Connected and Autonomous Vehicles (CAVs) , Traffic Flow Theory , Data Fusion , and Urban Network Optimization . He applies AI and machine learning to model, predict, and control multi-modal traffic systems, aiming to develop smart city platforms for sustainable transport in mega-cities. The recent trend in his publications (2022–2025) reflects a strong focus on intelligent transportation, including trajectory planning, risk-aware control, car-following modeling using neural symbolic regression, and intercity mobility analysis. His work bridges theoretical modeling with practical applications in emerging connected environments. Scientific Awards: UK Research Council (EPSRC) Advanced Fellow Award (2011–2016) in Connected and Autonomous Vehicles Dong Ngo Duy actively supervises PhD students and contributes to major research initiatives in intelligent transport systems. His work aligns with UN Sustainable Development Goals, particularly in sustainable cities and transport. He previously chaired the Connected Traffic Systems Lab at the University of Canterbury and continues to lead impactful research in transport innovation.

Atsushi Urakawaمشاهده پروفایل

استاد

• Heterogeneous Catalysis
• In situ/operando Spectroscopy
• Reaction Engineering
• +۷ مورد دیگر

Prof. Atsushi Urakawa is a Full Professor in the Department of Chemical Engineering at the Faculty of Applied Sciences, Delft University of Technology (TU Delft) . He leads the Urakawa Group , which focuses on developing sustainable heterogeneous catalytic processes with minimal environmental impact. PhD, ETH Zurich (2006) MSc, TU Delft BSc, Kyushu University, Japan His research is centered on heterogeneous catalysis , employing in situ/operando spectroscopy and reaction engineering to understand catalytic mechanisms. Key research themes include CO₂ conversion to chemicals , methane activation , hydrogen production , and environmental catalysis (NOx abatement) . The group also pioneers advanced in situ/operando tools for studying solid-gas and solid-liquid interfaces at the reactor scale. The recent publications reflect a strong focus on CO₂ hydrogenation under high pressure, design of bimetallic and supported catalysts , and mechanistic elucidation using operando techniques. The work bridges fundamental understanding with industrial sustainability. Scientific Awards: Fellow of the Royal Society of Chemistry (2016) JSPS Prize (2020) The Japan Academy Medal (2021) Advising: Prof. Urakawa supervises PhD and postdoctoral researchers, including Nat Phongprueksathat , George Tierney , and Gerben-Jan Hooijer . His group collaborates with industrial partners such as Toyota on carbon capture and reduction (CCR) projects. While specific grants are not detailed, his research is clearly supported by high-impact publications and international recognition. Labs & Teams: The Urakawa Group is embedded within the Catalysis Engineering section at TU Delft, fostering interdisciplinary research at the intersection of materials science, catalysis, and process engineering.

Rosella Nicoliniمشاهده پروفایل

استاد

• Urban Economics
• Demography
• Regional Development
• +۴ مورد دیگر

Rosella Nicolini is a Professor in the Department of Applied Economics at Universitat Autònoma de Barcelona (UAB). She holds a PhD in Economics from the Catholic University of Louvain (2000) and has extensive visiting positions at institutions like University of Bordeaux, University of New South Wales, and Boston University. Her research focuses on urban economics, demography, regional development, and immigration policy, with a strong emphasis on territorial cohesion and spatial analysis. She has led multiple interdisciplinary projects including 'RURALITIC: RUral Revival' (2025–2028) and 'SOCIAL AND TERRITORIAL COHESION: THE DEMOGRAPHICAL CHALLENGE AND PUBLIC POLICIES' (2022–2025). Her work contributes to UN Sustainable Development Goals related to education and sustainable urbanization. Recent publications explore aging populations in Europe, urban congestion impacts on public transport usage, and spatial segregation dynamics in Barcelona. Nicolini has been a key figure in modeling population distribution and analyzing labor market reforms. She collaborates internationally, having held roles at IAE, Pompeu Fabra University, and the Barcelona Institute of International Studies (IBEI). Her grants include funding from the European Regional Development Fund and the Spanish Ministry of Science. She has supervised over 31 research works, focusing on applied economics methodologies and empirical techniques. Nicolini’s lab and team research integrates spatial econometrics with policy analysis, addressing contemporary challenges in regional development and urban governance.

Mary Hegartyمشاهده پروفایل

استاد

• Spatial Cognition
• Diagrammatic Reasoning
• Individual Differences in Spatial Abilities
• +۴ مورد دیگر

Mary Hegarty is a Distinguished Professor in the Department of Psychological & Brain Sciences at UC Santa Barbara. She has been on the faculty since 1988 following her PhD from Carnegie Mellon University. Her research focuses on spatial thinking, navigation strategies, and individual differences in spatial abilities, with emphasis on STEM education. She leads the Spatial Thinking Lab, employing methods like fMRI and virtual environments. Current NSF-funded projects explore navigation variability and spatial ability’s role in STEM success. Education: BA and MA from University College Dublin, PhD in Psychology from Carnegie Mellon (1988). Research Interests: Spatial cognition (e.g., mental rotation, navigation strategies), spatial representation in STEM, and effects of technology like GPS on spatial skills. Unique focus on integrating experimental psychology with individual difference analysis. Awards: APS Fellow, Spencer Postdoctoral Fellowship, former Cognitive Science Society board chair. Editorial roles at Journal of Experimental Psychology: Applied and Topics in Cognitive Science. Lab Activities: Develops VR tools for spatial assessment, collaborates on projects like Sea Hero Quest. Focuses on translating spatial cognition research into educational interventions. Current research examines neural correlates of navigation and midlife spatial aging effects.

Ralf Wilkeمشاهده پروفایل

استاد

• Applied Econometrics
• Microeconometrics
• Labour Economics
• +۳ مورد دیگر

Ralf Wilke is a Professor in Applied Econometrics and Microeconometrics at the Copenhagen Business School , with affiliations to ZEW as a research associate. His career spans multiple institutions including the University of Leicester, University of Nottingham, and University of York. Education: Diplom-Volkswirt (Bonn University), DEA (University of Toulouse I), Dr. rer. pol. (Dortmund University) Current Roles: Professor at CBS, Research Associate at ZEW Prior Roles: Lecturer/Associate Professor at Leicester/Nottingham, Readership at York Research Focus: Specializing in econometric methods for analyzing duration data, competing risks, panel models with group structures, and applications in industrial life modeling. His work addresses complex censoring mechanisms and spatial diffusion patterns in historical economic contexts. Recent Publication Trends: Recent articles emphasize duration modeling with dependent censoring, copula-based competing risks frameworks, and structural econometric approaches to panel data. Key disciplines include computational statistics, quality engineering, and cliometrics.

Krishna P. Poudelمشاهده پروفایل

دانشیار

• Forest sampling
• Forest measurement
• Forest modeling
• +۷ مورد دیگر

Dr. Krishna P. Poudel serves as Associate Professor in Mississippi State University's Department of Forestry within the College of Forest Resources, specializing in forest biometrics, inventory systems, and statistical modeling for sustainable forest management. His work bridges advanced remote sensing technologies with traditional field measurements to address critical challenges in carbon accounting and ecosystem monitoring. His educational foundation includes: Ph.D. in Forestry, Oregon State University M.S. in Statistics, Oregon State University M.S. in Forestry, Louisiana State University B.S. in Forestry, Tribhuvan University Research centers on forest sampling design, biomass/carbon estimation, and small-area modeling with emphasis on integrating LiDAR (terrestrial, airborne, spaceborne), satellite imagery, and statistical innovations. Current projects span temperate forests in the Lower Mississippi Alluvial Valley and tropical ecosystems in Southeast Asia, focusing on species-specific allometry, short-rotation woody crops, and uncertainty quantification in forest attribute prediction. His methodological expertise in Fay-Herriot models and deep learning applications has significantly advanced precision in county-level forest inventory. Recent publications (2022-2025) demonstrate consistent innovation in biomass modeling, with 60% of articles featuring machine learning approaches for tropical biomass prediction and 30% addressing national-scale carbon accounting. Key thematic clusters include remote sensing integration (47%), statistical methodology development (33%), and tropical forest applications (20%), reflecting his strategic focus on scalable solutions for global carbon monitoring. Award highlights: 2024 College of Forest Resources Research Award USDA Forest Service FIA Excellence Nominee (2023) ISFRE 1st Place Graduate Student Poster The Delta Council Outstanding Contribution to Delta Hardwood Forestry (2022 nominee) Multiple College of Forest Resources Teaching Awards Dr. Poudel actively mentors seven graduate students through the Forest Biometrics Lab, with thesis topics spanning ICESat-2 canopy height validation, deep learning biomass models, and marginal land identification. His lab maintains strong partnerships with USDA Forest Service programs including Forest Inventory and Analysis (FIA) and the Center for Bottomland Hardwoods Research, securing collaborative funding for projects on carbon dynamics in Conservation Reserve Program lands and shortleaf pine restoration. Current initiatives focus on integrating GEDI data with national inventory systems and developing AI-driven tools for smallholder agroforestry carbon accounting in Vietnam.

• Number Theory
• Automorphic Forms
• Representation Theory
• +۳ مورد دیگر

Jennifer Johnson-Leung serves as Professor in the Department of Mathematics and Statistical Science within the College of Science at the University of Idaho, with additional affiliation as Participating Faculty at the Institute for Modeling Collaboration and Innovation under the Office of Research and Economic Development. Her academic credentials include: PhD in Mathematics from the California Institute of Technology (2005) BS in Chemistry and Mathematics from the College of William and Mary (1998) Professor Johnson-Leung maintains a dual research focus bridging pure mathematics and applied epidemiology. In theoretical mathematics, she investigates Siegel modular forms, paramodular forms, Hecke algebras, and representation theory, advancing understanding of automorphic forms and their connections to algebraic geometry. Her applied work develops spatial statistical models for sociodemographic risk assessment in public health crises, particularly during the COVID-19 pandemic, utilizing techniques like elastic net regression to analyze vaccination behavior and mortality patterns. Analysis of her recent publications reveals equal emphasis on deep theoretical number theory problems and urgent public health applications. The mathematical works explore structural properties of modular forms and representation theory, while epidemiological studies dissect complex interactions between political ideology, social vulnerability, and pandemic outcomes across U.S. populations. No specific scientific awards were documented in the provided materials. Information regarding graduate student advising and research grant funding remains unspecified in the available documentation. No dedicated research laboratories or specialized collaborative teams were mentioned in the source materials.

Julia Hahnمشاهده پروفایل

پژوهشگر

• Technology Assessment
• Responsible Research and Innovation
• Participatory Procedures
• +۴ مورد دیگر

Dr. Julia Hahn is a Scientific Associate at the Karlsruhe Institute of Technology (KIT), working within the Institute for Technology Assessment and Systems Analysis (ITAS) in the Research Group 'Sociotechnical Futures and Policies'. She serves as co-project leader for the 'Participatory Procedures and Processes in Research Organizations' (PaFo) project and leads the HGF project 'Airborne transmission of the SARS coronavirus – from basic research to efficient air purification systems (CORAERO)'. Her work spans across multiple institutions including German Electron Synchrotron (DESY), German Aerospace Center (DLR), and other Helmholtz Association members. Dr. Hahn completed her doctorate in 2019 at KIT's Faculty of Humanities and Social Sciences with her thesis 'Towards a Global Technology Assessment - Insights from Cases in Germany, China, India and Beyond'. She earned her Master's degree in Applied Cultural Studies from Leuphana University Lüneburg in 2010, followed by a research assistant position there before joining ITAS in 2011. Her research focuses on the intersection of technology, society, and governance, with particular emphasis on global technology assessment frameworks. She examines how participatory procedures can enhance technology assessment processes and influence research agendas. Her work explores responsible research and innovation (RRI) from both theoretical and practical perspectives, analyzing how different institutional contexts shape approaches to responsibility in science and technology. Dr. Hahn investigates policy engagement mechanisms that connect scientific knowledge with decision-making processes, particularly during crises and periods of rapid technological change. Her research often addresses the challenges of transnational technology governance in an increasingly interconnected world. Analysis of Dr. Hahn's recent publications reveals strong thematic continuity in technology assessment methodology, with increasing attention to crisis contexts and pandemic response. Her work demonstrates a clear evolution from national to global technology assessment frameworks, with growing emphasis on comparative international studies. The publications show consistent interdisciplinary collaboration across social sciences, engineering, and health disciplines, reflecting her commitment to transdisciplinary approaches. Recent work increasingly integrates digital methods like bibliometric analysis while maintaining strong theoretical grounding in sociotechnical systems theory. Dr. Hahn has been instrumental in several significant projects including 'Piloting RRI in Industry' (PRISMA), 'Responsible Industry', 'Responsible Research and Innovation in Practice' (RRI Practice), and the 'Citizens' Dialogue on Future Technologies'. Her project work demonstrates consistent engagement with both theoretical frameworks and practical implementation of technology assessment methodologies. She has contributed to multiple European collaborative projects including PACITA (Parliaments and Civil Society in Technology Assessment), showing her commitment to strengthening democratic technology governance across borders. As part of her role at ITAS, Dr. Hahn contributes to the institute's mission of conducting integrated technology assessment that provides 'continuous reflection' for research projects, analyzing social, legal, and ethical implications while considering public trust and acceptance. Her work with the globalTA network demonstrates her commitment to international collaboration in technology assessment.

• Sleep
• Circadian rhythms
• Bioinformatics
• +۴ مورد دیگر

Ron C Anafi serves as Associate Professor of Medicine (Sleep Medicine) at the Hospital of the University of Pennsylvania and holds key affiliations as Faculty Scholar at the Penn Institute for Bioinformatics, Co-Investigator at the Center for Subcellular Genomics, and member of both the Chronobiology and Sleep Institute and ITMAT. His work bridges computational biology with clinical sleep medicine within the Perelman School of Medicine. His educational trajectory includes a B.S.E. in Biomedical Engineering and Philosophy from Tulane University (1995), followed by a Ph.D. in Applied Mechanics (2002) and M.D. (2004) from the University of Minnesota. This dual training underpins his unique approach to circadian research. Dr. Anafi's laboratory pioneers computational methods to decode sleep and circadian influences on human physiology, focusing on neurodegeneration and cancer. By applying machine learning and systems biology to large-scale omics data, his team reconstructs molecular rhythms from cross-sectional human tissue databases—overcoming the critical barrier of limited longitudinal sampling in patients. His research demonstrates how circadian disruptions in ribosomal function link to Alzheimer's pathology and how tumor clock strength predicts breast cancer outcomes. Analysis of his 15 most recent publications (2022-2025) reveals intensifying focus on cell-type-specific circadian disruptions in neurodegenerative diseases, with significant expansion into cancer chronobiology and contactless sleep monitoring technologies. His methodological innovations like CYCLOPS enable rhythmic signal extraction across diverse tissues—from brain to skin—while increasingly integrating multi-omics layers to identify therapeutic targets. As mentor in the Genomics and Computational Biology and Neuroscience graduate groups, he guides students through rotation projects at his Translational Research Laboratories facility (Suite 2100, 125 South 31st Street). His research is supported by NIH grants investigating circadian mechanisms in Alzheimer's disease and cancer progression, with recent work exploring sex-specific metabolic impacts of circadian genes and non-invasive sleep monitoring.

Laia Mogas-Soldevilaمشاهده پروفایل

استادیار

• Biomaterials
• Sustainable Design
• Biofabrication
• +۳ مورد دیگر

Laia Mogas-Soldevila serves as Assistant Professor of Graduate Architecture and Director of DumoLab Research at the University of Pennsylvania's Stuart Weitzman School of Design, pioneering radically sustainable material practices that bridge science, engineering, and the arts for architectural and product design innovation. Her academic credentials include: Interdisciplinary doctorate in biomaterials science, biomedical engineering, and advanced design from Tufts University School of Engineering Two master’s degrees from the Massachusetts Institute of Technology School of Architecture Licensed architect with Fine Arts minor from Polytechnic University of Catalonia and École Nationale Supérieure de Beaux-Arts Dr. Mogas-Soldevila's research reimagines matter as a fundamental design driver through biomaterials and bio-based fabrication , emphasizing environmental justice and circular economy principles. Her work partners with scientists to develop unprecedented material capabilities, spanning from molecular-scale biopolymer engineering to full-scale architectural applications that address climate challenges. Analysis of her 15 most recent publications (2020-2025) reveals dominant themes in carbon-sequestering living materials, agricultural waste valorization, and adaptive biological skins. These works consistently bridge architecture, material science, and environmental engineering, with increasing focus on participatory design and urban farming applications as seen in her 2024 Portable Bioremediation Technologies project. Her scientific recognition includes: Johnson&Johnson Foundation Woman in STEM2D Scholar Award Research funding encompasses Penn's Research Foundation Grant, Environmental Innovation Grant, Sachs Art Innovation Grant, and Global Engagement Fund, supporting her interdisciplinary exploration of sustainable material systems. Her pedagogy cultivates novel theory and applied methods for biomaterial implementation across design disciplines. As DumoLab Research Director, she leads cross-disciplinary collaborations developing material-driven computational workflows for digital fabrication, with recent projects exhibited at MoMA, Milan/London Design Weeks, and ACADIA conferences, translating laboratory innovations into tangible environmental solutions.

Scott Anthony Sissonمشاهده پروفایل

استاد

• Computational Statistics
• Bayesian Statistics
• Statistical Extreme Value Theory
• +۳ مورد دیگر

Professor Scott Anthony Sisson is a leading academic at the University of New South Wales (UNSW) , holding the position of Professor of Statistics and Data Science in the School of Mathematics and Statistics . He serves as Director of the UNSW Data Science Hub (uDASH) and Deputy Director of the UNSW AI Institute (UNSW.ai) . Previously, he was Deputy Director of the Australian Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) and held leadership roles in the Australasian Society of Bayesian Analysis and Statistical Society of Australia . PhD in Statistics (Bristol University, 2002) MSc in Environmental Statistics and Systems (Lancaster University, 1997) BSc in Mathematics and Statistics (Lancaster University, 1996) His research focuses on computational statistics and Bayesian inference , with expertise in machine learning , extreme value theory , and high-dimensional data analysis . He develops simulation-based algorithms for complex statistical problems and applies these to diverse scientific challenges like seagrass decline, urban flood modeling, and drug delivery systems. His recent work spans quantum computing for statistics, graphon modeling, and synthetic likelihood methods. Scientific awards include: 2024 Fellow of the International Society of Bayesian Analysis 2023 Fellow of the Institute of Mathematical Statistics 2017 ARC Future Fellowship 2010 Queen Elizabeth II Research Fellowship 2006 John Yu Fellowship His advising team has mentored students in statistical modeling, Bayesian computation, and applied data science. Grants from the Australian Research Council and industry collaborations support his research in government and scientific applications. He contributes as Associate Editor for Journal of Computational and Graphical Statistics and Statistics and Computing .

Anna Frieserمشاهده پروفایل

پژوهشگر

• Tourism Research
• Regional Economics
• Sustainable Regional Development
• +۳ مورد دیگر

Anna Frieser is a Researcher at the Chair of Human Geography, part of the Faculty of Philosophy at Julius-Maximilians-University Würzburg. Since 2022, she has focused on regional economic impacts of tourism in protected areas, particularly within Germany’s National Natural Landscapes. Education: M.Sc. in Applied Human Geography (2021), B.Sc. in Geography (2018) Her research spans tourism economics , sustainable regional development , and spatial analysis of visitor behavior . She contributes to projects quantifying tourism’s economic value in nature parks like Lüneburger Heide, using extrapolation methods for national assessments. Recent publications emphasize spatial patterns of visitor mobility, economic valuation frameworks, and sustainable tourism strategies in biosphere reserves and national parks. She collaborates with institutions such as Alfred Toepfer Academy for Nature Conservation and Bundesamt für Naturschutz.

Zhi Liمشاهده پروفایل

استادیار

• Hydrological Modeling
• Flood Prediction
• Drought Monitoring
• +۹ مورد دیگر

Zhi Li is an Assistant Professor at the University of Colorado Boulder's College of Engineering and Applied Science, Department of Civil, Environmental and Architectural Engineering. He leads the newly established Flood Lab, focusing on flood prediction and monitoring through remote sensing and coupled hydrologic-hydraulic models. Joined CU Boulder in Fall 2025 Former Dean's Postdoc Fellow at Stanford University PhD in Civil Engineering & Environmental Science from University of Oklahoma (2022) His research spans hydrological modeling , extreme events , and AI4Science applications, particularly in deep learning and intelligent agents for flood risk assessment. Li’s work also connects floods with public health and economic systems , aiming to develop the Flood-Agriculture-Climate-Economics-Disease (FACED) framework. Key Themes: High-resolution flood modeling Climate change impacts on hydro-meteorology Remote sensing integration Flood-agriculture interdependencies Global health implications Scientific Awards: Dean's Postdoc Fellow, Stanford Doerr School of Sustainability (2023) Hoving Fellowship, University of Oklahoma (2019) Li’s recent publications emphasize improved precipitation estimation (IMERG V07), Brown Ocean Effect studies, and Fourier neural operators for rapid flood forecasting. His collaborative work with NOAA and NASA focuses on comparing ground-based and spaceborne radar systems for extreme event analysis.

• Econometrics
• Environmental Economics
• Climate Change
• +۶ مورد دیگر

Carlo Fezzi is an Associate Professor at the Department of Economics and Management, University of Trento. His research focuses on econometrics, environmental economics, and climate change impacts, particularly in policy design and integrated modeling. Teaches Applied Econometrics and Econometrics for Behavioral and Applied Economics and Mathematics programs. Leads workshops in the Market Analysis Laboratory (G3-2), emphasizing data-driven market understanding. Fezzi’s research integrates econometric methods with environmental policy, addressing biodiversity, climate adaptation, and energy economics. Recent work explores land use optimization under climate change, electricity demand forecasting, and coral reef valuation. His publications span topics like carbon trading, agro-environmental modeling, and non-market valuation techniques. Fezzi’s 15 most recent articles highlight trends in econometric applications to environmental challenges, including climate policy, energy demand modeling, and biodiversity conservation. His methodologies combine linear/nonlinear models, neural networks, and spatial analysis to address global issues like food security, carbon emissions, and ecosystem resilience.