جست‌وجوی استاد و پژوهشگر

• Urban Sociology
• Race and Ethnicity
• Residential Segregation
• +۷ مورد دیگر

Jackelyn Hwang is an Assistant Professor in the Department of Sociology at Stanford University and Director of the Changing Cities Research Lab. Her research focuses on urban sociology, race and ethnicity, immigration, and inequality, particularly how neighborhoods change and the persistence of neighborhood inequality by race and class in U.S. cities. Her educational background includes a B.A.S. in Sociology and Mathematics from Stanford University and a Ph.D. in Sociology and Social Policy from Harvard University. She completed her postdoctoral training as a Research Fellow in the Office of Population Research at Princeton University. Her research interests center on gentrification, residential segregation, and structural racism in urban environments. She employs novel data sources such as Google Street View imagery to develop automated methods for measuring neighborhood physical conditions over time. Her work highlights how gentrification perpetuates racial inequality even without increased displacement, emphasizing the enduring role of structural racism in shaping housing outcomes. The available article demonstrates a strong trend in examining racial stratification in urban contexts, particularly focusing on how gentrification interacts with segregation across different housing markets like Philadelphia and the San Francisco Bay Area. Her research combines national-level analyses, longitudinal survey data, and consumer credit datasets to explore persistent patterns of inequality. Supported by the American Sociological Association Supported by the Joint Center for Housing Studies Supported by the National Science Foundation Jackelyn Hwang advises students through her role as Director of the Changing Cities Research Lab and has secured competitive external funding from major institutions including the National Science Foundation. Her research has been published in top-tier journals such as the American Journal of Sociology , American Sociological Review , Demography , and Social Forces . She leads the Changing Cities Research Lab at Stanford University, which focuses on developing computational and quantitative methods to study urban change, neighborhood inequality, and the racial dynamics of gentrification.

Wenzheng Liمشاهده پروفایل

عضو هیئت علمی

• Land Use Planning
• Regional Planning
• Urban Data Analytics
• +۱۵ مورد دیگر

Wenzheng Li is a Visiting Lecturer in the Department of City and Regional Planning at Cornell University’s College of Architecture, Art, and Planning. He earned his Ph.D. in City and Regional Planning from Cornell in August 2024, following a Master’s in Regional Planning from the same institution and a Bachelor’s in Remote Sensing from China University of Geosciences. His research centers on regional-scale land use planning, sustainable urban forms, polycentric development, and environmental sustainability, with applications in Germany, China, and Sub-Saharan Africa. He employs GIS, remote sensing, spatial econometrics, and urban data analytics to investigate urban dynamics and planning policy impacts. His recent publications and conference presentations focus on topics such as the urban heat island effect, polycentric development, and regional equity. These works reveal consistent trends in analyzing spatial configurations for sustainability and equity, particularly through quantitative modeling and cross-national comparisons. C.V. Starr Fellowship, the Einaudi Center of Cornell University, 2023 Li teaches courses in GIS, urban data science, and quantitative methods, emphasizing the integration of machine learning and GeoAI with planning theory. His professional experience includes work on equitable transportation solutions in Tompkins County. He has not advised any students yet, and no grant details beyond the fellowship are mentioned. He is actively involved in research projects on sustainable urban forms in Sub-Saharan Africa, regional governance in China and the U.S., and environmental amenity valuation, reflecting a strong interdisciplinary and global approach to urban and regional planning challenges.

Kai Essigمشاهده پروفایل

استاد

• Human Factors
• Interactive Systems
• Eye Tracking
• +۱۵ مورد دیگر

Prof. Dr. Kai Essig is a Professor of Human Factors and Interactive Systems at the Faculty of Communication and Environment, Rhine-Waal University of Applied Sciences, Kamp-Lintfort, Germany. He has a strong interdisciplinary background combining computer science, cognitive science, and human-computer interaction, with a focus on eye tracking, visual perception, and assistive technologies. Master of Science in Computer Science and Chemistry, Bielefeld University (1998) Ph.D. in Computer Science, Bielefeld University (2007) His research centers on eye tracking, human-computer interaction, usability engineering, visual attention, and cognitive interaction technology . He investigates how movement expertise influences visual perception and how multimodal software can support real-time human actions. His work integrates computer vision, machine learning, and neuroscience to develop intelligent systems that adapt to user behavior. The 15 most recent publications reflect a consistent trend in eye movement analysis, mental representations, brain-machine interfaces, and assistive technologies . These works span domains such as sports psychology, robotics, augmented reality, and cognitive neuroscience, demonstrating a strong interdisciplinary approach. Key themes include gaze-based interaction, automated annotation of visual behavior, and the implementation of smart systems for daily living assistance. Scientific recognition includes: Landmark in the Land of Ideas (2018) – for the ADAMAAS project, awarded by 'Land of Ideas', a joint initiative of the German government and the Federation of German Industries Prof. Essig has been actively involved in research projects such as ADAMAAS (Adaptive and Mobile Action Assistance in Daily Living Activities), which received national recognition. He has collaborated extensively with the Neurocognition and Action-Biomechanics Research Group at Bielefeld University and the Excellence Cluster CITEC. While no formal advising of students is listed, his publications suggest mentorship and collaboration with junior researchers. His lab work is centered on eye-tracking systems, multimodal interaction, and cognitive modeling , particularly within applied environments like smart glasses and assistive technologies.

Michelle Borkinمشاهده پروفایل

استادیار

• Data Visualization
• Human-Computer Interaction
• Visual Analytics
• +۵ مورد دیگر

Michelle Borkin is an Assistant Professor in the Khoury College of Computer Sciences at Northeastern University’s Boston campus, where she co-leads the Visualization @ Khoury Lab and co-directs the Northeastern Visualization Consortium (NUVis). She additionally serves as Affiliated Faculty with the NULab for Text, Maps, and Networks and with the Information Design & Data Visualization Program in the College of Arts, Media, and Design. Education PhD, Applied Physics, Harvard University School of Engineering and Applied Sciences (2014) MS, Applied Physics, Harvard University BS, Astronomy & Astrophysics and Physics, Harvard University Research Interests Borkin’s research integrates data visualization and human-computer interaction to create novel techniques that enable discovery across disciplines. Her work spans: Multidimensional brushing-and-linking methodologies 3D data visualization and selection techniques Tree and network visualization Visualization evaluation methodologies and perception/cognition theory Accessibility and visualization for social good Medical and astrophysical visualization applications Publication Trends Across more than 50 peer-reviewed papers, Borkin’s research exhibits three dominant threads: (1) foundational studies on visualization perception and memorability, (2) design and evaluation of novel interactive tools for complex data (medical, astronomical, political, and social media), and (3) methodological contributions such as the Design Study “Lite” Methodology that accelerate visualization pedagogy and community-engaged research. Awards & Honors CHI 2020 Best Paper Award IEEE VIS 2020 Best Poster Honorable Mention IEEE VIS 2018 Best Poster Award NSF Graduate Research Fellowship NDSEG Graduate Fellowship TED Fellow Advising & Grants Borkin currently advises five PhD students—Jane Adams, Mackenzie Creamer, Franc O, Aditeya Pandey, and Laura South—and has previously mentored Michail Schwab and Uzma Haque Syeda. Her research has been supported by NSF, NDSEG, and TED fellowships, as well as internal Northeastern awards. Labs & Teams Co-Lead, Visualization @ Khoury Lab Co-Director & Co-Founder, Northeastern Visualization Consortium (NUVis) Affiliated Faculty, NULab for Text, Maps, and Networks Affiliated Faculty, Information Design & Data Visualization Program, CAMD

Jonathan Hershمشاهده پروفایل

دانشیار

• Economics of Information Systems
• Online Media Strategy and Online Piracy
• Digital Platform Strategy
• +۳ مورد دیگر

Jonathan Hersh is an Associate Professor at Chapman University's George L. Argyros College of Business and Economics, specializing in Economics and Management Science. His research bridges artificial intelligence, machine learning, and economics to address business, labor, and societal challenges through diverse data sources like satellite imagery and economic records. Education: University of Chicago (BA), University of Pennsylvania (MS), Boston University (PhD) Research focuses on AI's societal impact, including digital platform strategy, online piracy, and development economics. He has pioneered methods for poverty mapping using satellite data and war destruction analysis with AI. Recent publications explore AI skills gaps in financial institutions, API-driven economic growth, and satellite-based poverty estimation. His work has appeared in Management Science , MIS Quarterly , PNAS , and NeurIPS . Awards: BBVA Foundation Frontiers of Knowledge Award (2023) Previously worked as a data scientist for startups and the World Bank. Teaches AI, machine learning, and development economics to undergraduate and MBA students.

Katherine A. MacTavishمشاهده پروفایل

دانشیار

• Rural Families
• Trailer Park Communities
• Youth Development
• +۷ مورد دیگر

Katherine A. MacTavish, PhD, is an Associate Professor in the Department of Human Development and Family Sciences within the College of Public Health and Human Sciences at Oregon State University. She joined Oregon State in 2001 after previously working as an adjunct instructor of early childhood education at the University of New Mexico-Valencia and as coordinator of early childhood programs for Magdalena Municipal Schools in New Mexico. Dr. MacTavish holds a bachelor's degree in Arts Education and a master's degree in Early Childhood Special Education from the University of New Mexico, and a doctoral degree in Human and Community Development from the University of Illinois at Urbana-Champaign. Dr. MacTavish's research centers on examining how small towns and rural places function for the children and families who call them home. Since 1997, she has been examining contextual factors that shape developmental pathways for children and youth in rural trailer parks. Her work explores the role of trailer parks as a source of affordable housing for rural families, particularly focusing on the experiences of working-poor families navigating the 'mobile home industrial complex.' She has co-authored the book 'Singlewide: Chasing the American Dream in a Rural Trailer Park' which examines trailer park life across three distinct cultural contexts - white families in Illinois, Hispanic families in New Mexico, and African American families in North Carolina. Her current research includes studying the return migration of rural young people - those who, after gaining education in urban areas, return to their rural hometowns. This work explores how these young people navigate family and community perceptions that returning home somehow signals failure. Dr. MacTavish has also been actively involved in initiatives related to equity, inclusion, and diversity, including the 'Transforming Academia for Equity' and 'Land Grant University for Equity and Justice' initiatives. Dr. MacTavish's scholarly work, including her 23 publications with over 3,600 reads and 267 citations, consistently focuses on rural poverty, community development, and the intersection of housing and family life. Her research combines ethnographic methods with policy analysis to address systemic issues affecting rural communities, particularly examining how economic and social conditions impact rural community health and family wellbeing. Dr. MacTavish has been instrumental in connecting academic research with practical community applications, sharing her findings directly with the families who participated in her studies. Her work demonstrates how reading research about their own experiences has helped participants reconsider their circumstances and possibilities. Outside of her academic work, Dr. MacTavish enjoys running, gardening, and spending time with her family. She emphasizes the importance of patience in scholarship and encourages students to be present in their educational journey rather than worrying about the future.

• Computational Neuroscience
• Neuroimaging
• Connectomics
• +۱۰ مورد دیگر

Professor Michael Breakspear is an internationally recognized leader in computational neuroscience, brain imaging, and translational neurotechnology at the University of Newcastle's School of Psychological Sciences. His research bridges complex systems theory, mathematical modeling, and clinical neuroscience to advance understanding of brain dynamics in health and disease through interdisciplinary collaboration across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. Professor Breakspear holds a Doctor of Philosophy from the University of Sydney, along with multiple undergraduate degrees including a Bachelor of Medicine and Bachelor of Surgery. His academic journey includes professorial appointments at the University of Sydney (School of Physics), University of Queensland (School of Psychiatry), and University of Western Sydney (School of Psychiatry), where he progressed from Post-doctoral Research Fellow to Associate Professor. Current: Professor, University of Newcastle, School of Psychological Sciences 2017-present: Principal Research Fellow, National Health & Medical Research Council 2017-present: Senior Scientist and Head, QIMR Berghofer Medical Research Institute 2012-2017: Professor (adjunct), University of Sydney, School of Physics 2011-present: Professor (adjunct), University of Queensland, School of Psychiatry 2007-2012: Associate Professor, University of Western Sydney, School of Psychiatry Professor Breakspear's research program integrates expertise across mathematics, physics, neuroimaging, psychiatry, and artificial intelligence. His core expertise includes computational neuroscience (modeling brain dynamics using nonlinear systems theory), neuroimaging and connectomics (pioneering methods to analyze brain networks), brain disorders and mental health (applying computational models to disorders like schizophrenia and bipolar disorder), and neurotechnology and AI (developing machine learning techniques for imaging biomarkers). His recent publications demonstrate a strong focus on brain dynamics, neuroimaging techniques, and applications to psychiatric and neurological disorders. His work spans theoretical frameworks to clinical applications, with particular emphasis on understanding the neural basis of mood disorders, Alzheimer's disease, and psychosis, employing advanced computational approaches to uncover fundamental principles of brain organization and dysfunction. Senior Researcher Award (2017) Principal Research Fellow, National Health & Medical Research Council (2017-present) Professor Breakspear actively collaborates with clinical researchers, engineers, and technology developers to translate theoretical frameworks into practical diagnostic and therapeutic innovations. He provides leadership in training programs at the nexus of neuroscience, mathematics, and data science, fostering the next generation of interdisciplinary researchers through mentorship and collaborative projects that bridge theoretical and clinical domains.

Inés Ibáñezمشاهده پروفایل

استاد

• Forest Ecology
• Climate Change Impacts
• Ecosystem Resilience
• +۳ مورد دیگر

Inés Ibáñez serves as a Professor and Associate Dean for Academic Affairs at the University of Michigan School for Environment and Sustainability (SEAS), where she leads research in the Ecosystem Science and Management program. Her work focuses on forest ecosystem functioning, climate change impacts, and conservation strategies to inform sustainable resource management under global environmental change. Her educational qualifications include: PhD in Ecology from Duke University MS in Range Sciences from Utah State University BS in Botany from Universidad Complutense de Madrid Professor Ibáñez investigates how climate change affects forest community structure, species recruitment constraints, and ecosystem resilience to disturbances. She develops integrative models linking physiological processes to landscape-scale patterns, emphasizing practical applications for forest conservation and adaptive management in vulnerable ecosystems. Analysis of her 2022-2023 publications reveals consistent focus on forest dynamics, seed ecology, and spatial biodiversity patterns. Her collaborative work leverages large-scale datasets to examine tree fecundity gradients, latitudinal growth responses, and herbivory impacts, contributing to predictive frameworks for forest adaptation under climate stressors. She mentors graduate researchers including master's student Ezekiel Herrera-Bevan who conducted fieldwork at the U-M Biological Station. Her research program operates through extensive national and international collaborations, though specific grant details are not documented in the source material. Professor Ibáñez directs a multidisciplinary research group integrating field ecology, remote sensing, and modeling approaches. Her team collaborates across institutions to study forest resilience mechanisms, with projects spanning experimental manipulations, long-term monitoring, and spatial analysis of community vulnerability.

• Tectonics
• Geodynamics
• Seismology
• +۳ مورد دیگر

Francisco Manuel Alonso Chaves is a Professor in the Department of Earth Sciences at the Faculty of Experimental Sciences, University of Huelva, Spain. He is affiliated with the Huelva Scientific and Technological Center and leads the research group RNM276 APPLIED GEOSCIENCES. His academic focus lies in Internal Geodynamics, contributing significantly to the understanding of tectonic processes in the Betic Cordillera and surrounding regions. Education: PhD in Geology, University of Granada (1995). Thesis: "Tectonic evolution of Sierra Tejeda and its relationship with processes of crustal thickening and thinning in the Betic mountain ranges", supervised by Dr. Miguel Orozco Fernández. His primary research interests encompass Tectonics, Geodynamics, Seismology, and Structural Geology. He investigates crustal deformation, seismic activity, and the evolution of mountain belts, with a regional focus on the Betic Cordillera and the Iberian Peninsula. His work integrates field studies, geophysical methods, and advanced data analysis to unravel complex tectonic histories and assess seismic hazards. Analysis of his recent publications reveals a strong emphasis on tectonic processes, particularly in the Guadalquivir Basin and the Betic Cordillera. His work utilizes seismic noise recording, kernel density estimation, and passive seismic techniques to study basin architecture, fault reactivation, and crustal structure. There is a consistent focus on Neogene extension, earthquake analysis (including the Türkiye-Syria events), and the application of geospatial tools like QGIS for tectonic interpretation. Scientific Awards: No scientific awards mentioned in available information. Advising and Grants: No details provided regarding students supervised or research grants secured. Labs and Teams: Dr. Alonso Chaves is a key member of the RNM276 APPLIED GEOSCIENCES research group and conducts his work at the Huelva Scientific and Technological Center. His team focuses on applied geological research, including seismic microzonation, tectonic modeling, and environmental geology, contributing to both academic knowledge and practical applications in the region.

• High-dimensional probability theory
• Data Science
• Machine Learning
• +۵ مورد دیگر

Sjoerd Dirksen is a Professor of Mathematics for Data Sciences at Utrecht University since May 2025, having previously served as an Associate Professor for Applied Mathematics (2019-2025) and Junior Professor at RWTH Aachen University (2014-2019). He is affiliated with the Mathematical Institute within the Faculty of Science at Utrecht University, where his office is located in the Hans Freudenthal Building. His research interests focus on high-dimensional probability theory and its applications in data science, machine learning, and signal processing. Specifically, he investigates randomized data dimension reduction methods using structured random matrices, theory for deep learning including random neural networks, high-dimensional covariance estimation for wireless communication systems, and statistical postprocessing of weather forecasts in collaboration with the Royal Netherlands Meteorological Institute (KNMI). Previously, he worked on compressed sensing, sharp estimates for stochastic processes in Banach spaces, and noncommutative analysis. Analysis of his recent publications (2018-2024) reveals a strong focus on quantization effects in high-dimensional data processing, particularly one-bit compressed sensing and covariance estimation under coarse quantization. His work bridges theoretical mathematics with practical applications in signal processing, wireless communications, and meteorological forecasting, demonstrating a consistent trajectory from foundational mathematical research to applied data science problems. Dirksen's academic career shows progression from postdoctoral work at the Hausdorff Center for Mathematics in Bonn to independent research positions. His publication record demonstrates significant contributions to the mathematics of data science, with papers appearing in top journals across mathematics, statistics, and signal processing. His research combines deep theoretical insights with practical applications, particularly in the areas of dimensionality reduction and high-dimensional statistics.

Marie-Christine Dükerمشاهده پروفایل

استادیار

• high-dimensional statistics
• time series analysis
• functional data analysis
• +۱۱ مورد دیگر

Marie-Christine Düker is an Assistant Professor in the Department of Statistics and Data Science at Friedrich-Alexander University (Germany). Her research focuses on high-dimensional statistics, time series analysis, functional data analysis, and extreme value theory with applications in economics, psychology, chemistry, and ecology. Previously, she was a postdoctoral associate at Cornell University's Department of Statistics and Data Science under David Matteson. She earned her PhD in Mathematics from Ruhr-University Bochum under Herold Dehling and spent part of her doctoral studies at the University of North Carolina at Chapel Hill with Vladas Pipiras. Current Position: Assistant Professor, Department of Statistics and Data Science, Friedrich-Alexander University Previous Academic Affiliation: Postdoctoral Associate, Cornell University Education: PhD in Mathematics, Ruhr-University Bochum; Part-time research at University of North Carolina Research Interests: Her work spans high-dimensional time series under long-range dependence and nonstationarity, discrete data modeling, nonlinear dynamics, dimension reduction, and change-point analysis. Applications include econometrics, neuroscience, chemical data analysis, and ecological forecasting. Recent Publications: Her 2025-2024 work covers Hilbert space-valued linear processes, kernel estimation for nonlinear dynamics, confidence interval approximations, and latent Gaussian count time series. Earlier papers address simultaneous diagonalization, long-run variance matrices, and transition rate estimation challenges. Contact: marie.dueker@fau.de

Xiaoyang Wangمشاهده پروفایل

مدرس ارشد

• Graph Processing
• Graph Neural Networks
• Spatial Data Processing
• +۱۰ مورد دیگر

Xiaoyang Wang is a Senior Lecturer in the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW). He holds a Bachelor's and Master's degree in Computer Science from Northeastern University, China, and earned his PhD from CSE UNSW. Dr. Wang's research focuses on database systems with a special emphasis on query processing and data mining on large-scale graph, spatial, and streaming data. His expertise extends to data-driven machine learning, smart contract analysis on blockchain, and FinTech with financial network analysis. His work spans Graph Processing, Graph Neural Networks, Spatial Data Processing, AI for Databases (AI4DB), Database for AI (DB4AI), and FinTech applications. His publication record shows significant contributions to the field with 7 book chapters, 56 journal articles, 61 conference papers, 7 edited conference proceedings, and 4 conference abstracts. Recent publications (2022-2025) demonstrate his strong research trajectory in advanced graph processing techniques, neural network applications, and innovative database approaches. Key themes include hierarchical contrastive learning, robust attack frameworks, temporal graph processing, influence maximization, knowledge graph-enhanced reasoning, and rumor mitigation. Dr. Wang actively recruits PhD students interested in pursuing research in related fields and encourages current undergraduate and master's students at UNSW to contact him about research opportunities. He maintains an active research agenda with practical implications for industries dealing with large-scale network data, financial technology applications, and data-intensive systems. He can be reached at xiaoyang.wang1@unsw.edu.au and is located in Engineering building K17-501D at UNSW.

Stefan Julichمشاهده پروفایل

استاد

• Soil physics and soil hydrology
• Influence of land use on soil hydraulic properties
• Dynamics of material and water cycles in soils and landscapes
• +۵ مورد دیگر

Stefan Julich is a Professor of Landscape Studies at Eberswalde University for Sustainable Development, where he has held a professorship since 2022. He is affiliated with the Faculty of Landscape Management and Nature Conservation, contributing to both teaching and research activities. His academic career spans multiple prestigious institutions across Europe, including TU Dresden, Justus-Liebig University Giessen, and the Potsdam Institute for Climate Impact Research. Dr. Julich earned his Diploma in Geography with minors in Geology and Soil Science from Martin-Luther University Halle-Wittenberg (1998-2004), followed by a Dr. rer. nat. (magna cum laude) from Justus-Liebig University Giessen in 2010. His dissertation focused on uncertainties in modeling water and nitrogen cycles in micro- and mesoscale river catchments. His research primarily investigates soil physics and hydrology, with particular emphasis on the influence of land use on soil hydraulic properties, dynamics of water and material cycles in landscapes, and ecosystem services of soils. He employs advanced modeling techniques to simulate water and material flows from soil to landscape scales and develops innovative monitoring concepts and laboratory methods for environmental assessment. Analysis of his recent publications reveals a strong focus on tropical and temperate hydrology, with particular attention to land use change impacts, soil erosion processes, and water resource management in data-scarce regions. His work often bridges theoretical modeling with practical applications in environmental management, particularly in African and European contexts. Professor Julich actively contributes to long-term environmental observation systems, notably the Ecosystemic Environmental Observation (ÖUB) in Brandenburg's biosphere reserves, which monitors 136 sites across various ecosystem types. His research integrates abiotic (soil and water) and biotic (vegetation and fauna) components in comprehensive ecosystem assessments. He teaches courses in soil science, hydrology, and soil-water science within the Bachelor's programs in Landscape Use and Nature Conservation and Organic Agriculture and Marketing. His research projects focus on long-term ecosystem monitoring in biosphere reserves, examining how regional ecosystems evolve under changing environmental conditions.

• Greek History
• Ancient Religions
• Polytheism
• +۶ مورد دیگر

Sylvain Lebreton serves as a Lecturer in Greek History at the University of Toulouse - Jean Jaurès within the History Department and PLH-Erasmus Laboratory Heritage, Literature, History. His academic trajectory spans multiple institutions including the University of Liège and the University of the Littoral Côte d'Opale, with his current faculty position commencing in 2023 following six years as a postdoctoral researcher in the Mapping Ancient Polytheism ERC program. Dr. Lebreton's research centers on Greek religion across the longue durée, particularly examining structures and dynamics of polytheisms through divine onomastics (theonyms, epithets) during Classical and Hellenistic periods. His methodological approach uniquely combines traditional philological analysis with innovative digital humanities applications. His scholarly output reveals consistent focus on epigraphy, history of Greek cities, and the intersection of religion with political and social structures in ancient Greece. Recent publications demonstrate evolving research interests in sanctuary management from ecological perspectives, divine ubiquity through onomastic attributes, and decision-making processes involving divine consultation in Athenian democracy. His work bridges conventional historical inquiry with cutting-edge database development, most notably through his coordination of the Data Bank of Greek Epicleses (BDEG) since 2013. ERC 74118 Mapping Ancient Polytheism project (2017-2023) IN BeIPD COFUND postdoctoral fellowship at University of Liège (2014-2016) Ongoing collaboration with Dodona On Line (DOL) project since 2015 Dr. Lebreton maintains active leadership in digital humanities initiatives through his coordination of the BDEG research program and contributions to the Dodona On Line project. These collaborative efforts have produced significant scholarly resources for researchers studying ancient Mediterranean religions, particularly through the development of structured databases mapping divine epithets and religious practices across the ancient Greek world.

Kevin Mwendaمشاهده پروفایل

دانشیار

• Population Health
• Environmental Health
• Spatial Demography
• +۷ مورد دیگر

Dr. Kevin Mwenda is an Associate Professor of Population Studies (Research) at Brown University's Population Studies and Training Center (PSTC) and serves as Director of the Spatial Structures in the Social Sciences (S4). He maintains faculty affiliate positions at the Data Science Institute (DSI), Institute at Brown for Environment and Society (IBES), and the Sociology Department, demonstrating his interdisciplinary approach bridging geography, demography, and public health through spatial analysis methodologies. Dr. Mwenda's educational background includes: PhD in Geography (Geographic Information Science & Cartography), University of California, Santa Barbara (2018) MA in Geography, University of California, Santa Barbara (2014) BA, Dartmouth College (2010) His research program investigates spatial disparities in health outcomes among vulnerable populations globally, with particular attention to environmental, climatic, and socioeconomic determinants. Dr. Mwenda develops innovative mixed methods for exploring, analyzing, and visualizing spatial data patterns to better understand human-environment dynamics at various scales. His methodological expertise in GIS and spatial statistics enables sophisticated analysis of complex health-environment relationships across diverse geographic contexts. Dr. Mwenda's publication trajectory reveals a consistent focus on applying spatial methodologies to pressing global health challenges, with significant contributions in environmental health impacts across Africa, healthcare accessibility in conflict zones like Syria, pandemic mobility patterns, and frameworks for monitoring land degradation. His work demonstrates methodological rigor while addressing real-world problems affecting vulnerable populations in diverse settings including Africa, China, and the United States. His scholarly contributions have been recognized with several prestigious honors: Dean's Award for Excellence in Teaching (2023, Brown University) OVPR Research Seed Award (2023, Brown University) Excellence in Teaching Award (2017, Department of Geography, UCSB) Appointment as Associate Editor of Populations Journal (2025) As Director of S4, Dr. Mwenda leads a thriving research initiative that advances spatial methodologies across social science disciplines at Brown. His teaching portfolio includes undergraduate and graduate courses in GIS and spatial analysis within the Sociology Department, for which he received Brown's highest teaching honor in 2023. Dr. Mwenda maintains extensive collaborative networks spanning Epidemiology, Health Services, Environmental Science, and Data Science departments, reflecting the interdisciplinary nature of his work and institutional impact.