جست‌وجوی استاد و پژوهشگر

Abosede Georgeمشاهده پروفایل

دانشیار

• West African History
• History of Lagos
• History of Youth and Childhood
• +۴ مورد دیگر

Abosede George serves as Associate Professor of History and Africana Studies at Barnard College, Columbia University, and Director of Columbia's Institute of African Studies. A historian of Modern Africa, she specializes in West African urban history with concentrated focus on Lagos, youth and childhood studies, women and gender, and migration patterns across colonial and postcolonial contexts. Her educational trajectory includes a B.A. in History and Political Science from Rutgers University (1998), followed by M.A. (2002) and Ph.D. (2006) in History from Stanford University. Prior to joining Columbia in 2007, she held an Assistant Professor position at Trinity College. George's research interrogates intersections of gender, youth, and urban development through frameworks of social reform and transnational exchange. Her acclaimed monograph Making Modern Girls (2014) examines colonial-era girlhood and labor in Lagos, while current work investigates 19th-century migrant communities' reshaping of citizenship in Lagos. She teaches courses spanning African urban history, childhood studies, and gender dynamics. Recent publications reveal evolving scholarly engagement with neoliberalism's impact on African youth, colonial subjecthood through human-animal relations, and Lagos as a site of architectural transnationalism. Her work consistently centers African agency within global historical processes while challenging Western theoretical frameworks. Award highlights include the Aidoo-Snyder Book Prize (2015), Tow Professorship (2022-2024), and fellowships from the Netherlands Institute for Advanced Studies (2022-2023) and University of Pennsylvania Wolf Humanities Center (2021-2022). George actively mentors junior colleagues across U.S. and Nigerian institutions while serving on executive boards of the African Studies Association Women’s Caucus (which she co-convenes), Global Urban History Project, and Society for History of Childhood and Youth. Her institutional leadership extends to the Columbia University Senate and advisory roles at the Barnard Center for Research on Women.

Farah Kamwمشاهده پروفایل

استادیار

• Information Visualization
• Visual Analytics
• Spatial-Temporal Data Analysis
• +۴ مورد دیگر

Farah Kamw is an Assistant Professor in the Department of Computer Science at Wayne State University. With a PhD in Computer Science (2019) from Kent State University, her expertise spans 18 years of software development, academic teaching, and research in information visualization and database management. Education : PhD (Kent State), MSc (University of Zakho), BSc (University of Baghdad) Her research focuses on Information Visualization and Visual Analytics of spatial-temporal data, particularly through 8 publications (2013-2021) addressing urban mobility patterns, trajectory analysis, and geospatial data integration. She has developed several open-source visual analytics tools including TrajAnalytics and SparseTrajAnalytics, applying both document and graph database techniques. Farah teaches core Computer Science courses such as Algorithm Design , Programming Languages , and Database Systems . Her technical skills include Python, C++, Java, SQL, NoSQL databases, and GIS technologies.

Seongjin Choiمشاهده پروفایل

استادیار

• Urban Mobility Data Analytics
• Spatiotemporal Data Modeling
• Deep Learning & Artificial Intelligence
• +۳ مورد دیگر

Seongjin Choi is an Assistant Professor in the Department of Civil, Environmental, and Geo-Engineering at the University of Minnesota, Twin Cities , where he began his role in January 2024. His research bridges Urban Mobility Data Analytics , Spatiotemporal Modeling , and Deep Learning to advance transportation systems. Affiliated with the Center for Transportation Studies , Minnesota Robotics Institute , and Data Science Initiative , he leads the Choi Research Group . Education: Ph.D., Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology (KAIST), 2021 M.S., Civil and Environmental Engineering, KAIST, 2017 B.S., Civil and Environmental Engineering, KAIST, 2015 His research focuses on Urban Mobility Data Analytics and Deep Learning to optimize transportation systems. Key areas include: Spatiotemporal Data Modeling for forecasting and imputation Generative AI applications in transportation data Reinforcement Learning for Connected Automated Vehicles (CAV) Cooperative Intelligent Transport Systems (C-ITS) Recent publications in Transportation Science and Transportation Research Part C highlight his work on probabilistic traffic forecasting , deep generative models , and vision-language-action frameworks for autonomous systems. His methodologies often combine AI-driven analytics with real-time mobility optimization . Dr. Choi serves as: Associate Editor of The Journal of the Korean Society of Transportation (JKST) , 2023–Present Guest Editor for Journal of Advanced Transportation special issue on "Advanced Data Intelligence Theory and Practice in Transport 2023", 2023–2024 He actively seeks PhD students/postdocs for 2025 cohorts focused on machine learning for transportation challenges. Current projects include AI-enhanced traffic forecasting, CAV control, and urban air mobility (UAM) integration studies.

Stefanie Beckerمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Neuroscience
• Attention Research
• +۸ مورد دیگر

Associate Professor Stefanie Becker is a cognitive psychologist at the School of Psychology, University of Queensland , where she has been employed since 2007. Her research focuses on attention, visual search, and the relational account of attentional guidance using EEG, fMRI, and eye-tracking. She was awarded a PhD in Cognitive Psychology from the University of Bielefeld (Germany) in 2007, receiving the National German Dissertation Award. Education: PhD in Cognitive Psychology/Experimental Psychology, University of Bielefeld, Germany (2007) Research Interests: Relational account of attention (guidance by relative features such as 'reddest', 'darkest') Emotion and attention dynamics (e.g., processing of emotional faces) Inattentional blindness and awareness Visual working memory and attentional interference Neural mechanisms of visual search Article Trends: Her recent work (2023-2025) explores how relational features guide attention independently of context, the role of consciousness in emotional face capture, and interactions between attentional selection and visual working memory. Earlier studies (2016-2022) investigate EEG clustering techniques, spatial attention modulation by task-relevancy, and the balance between bottom-up and top-down processes in visual search. Scientific Awards: National German Dissertation Award (2007) UQ Postdoctoral Research Fellowship (2009-2018) Supervision: She supervises and has completed several PhD and Master’s projects on attentional templates, emotional face processing, visual working memory, and sensory substitution. Students include Aimee Martin, James D. Retell, and others. Labs/Teams: Becker leads the Centre for Perception and Cognitive Neuroscience at UQ, collaborating on interdisciplinary projects involving cognitive psychology, neuroscience, and computational methods.

Lisa Grant Ludwigمشاهده پروفایل

استاد

• Earthquake Science
• Seismology
• Geohazards
• +۶ مورد دیگر

Lisa Grant Ludwig is a Professor in the Department of Population Health and Disease Prevention at the University of California, Irvine (UCI). She is a nationally recognized expert in earthquake science, focusing on translating geophysical research into policy for disaster risk reduction. Her work bridges seismology, public health, and policy implementation. PhD in Geology with Geophysics minor (Caltech) MS in Environmental Engineering Science (Caltech) BS in Applied Environmental Earth Science (Stanford) Dr. Ludwig's research centers on earthquake dynamics, particularly along the San Andreas Fault, advancing disaster resilience through innovative nowcasting techniques using AI and machine learning. Her publications demonstrate expertise in seismic hazard modeling, geodetic imaging, and community preparedness studies. Recent publications highlight AI-enhanced earthquake prediction (QuakeGPT), temporal-spatial nowcasting models, and applications of geodetic data for crustal deformation analysis. These works integrate machine learning with traditional seismological methods to improve hazard forecasting. President of Seismological Society of America NASA 2012 Software of the Year Medal Featured on Science magazine cover Congressional Testimony provider Active Federal Advisory Committee member Her interdisciplinary approach combines geophysics, public health policy, and computational science. Current projects focus on earthquake nowcasting, fault zone analysis, and developing accessible geospatial tools like GeoGateway for disaster response.

Miguel Mahechaمشاهده پروفایل

استاد

• Ecosystem Responses to Climate Extremes
• Biogeography and Ecosystem Functioning
• Earth System Data Science
• +۴ مورد دیگر

Miguel Mahecha is Professor of Environmental Data Science and Remote Sensing at the University of Leipzig, where he serves as Institute Head of the Institute for Earth System Science and Remote Sensing. He is also affiliated with the Remote Sensing Centre for Earth System Research, a collaboration between Leipzig University and the Helmholtz Centre for Environmental Research (UFZ). Mahecha is a member of the German Centre for Integrative Biodiversity Research (iDiv) and serves as Principal Investigator in the Centre for Scalable Data Analytics and Artificial Intelligence. Additionally, he is a Fellow of the European Laboratory for Learning and Intelligent Systems and co-spokesperson for the National Research Data Infrastructure for Earth System Sciences (NFDI4Earth). Full Professor for Modelling Approaches in Remote Sensing, University of Leipzig (since 03/2020) Research Group Leader: Empirical Inference in the Earth System, Max Planck Institute for Biogeochemistry, Jena (12/2012 - 03/2020) PostDoc, Max Planck Institute for Biogeochemistry, Jena (10/2009 - 11/2012) PhD in Environmental Sciences, ETH Zürich (06/2006 - 09/2009) Diploma in Geoecology, Bayreuth University (10/2000 - 04/2006) Mahecha's research focuses on understanding ecosystem responses to climate extremes and human-environment relationships during these events. He investigates macro-ecological dynamics and ecosystem functioning using data-driven methods and high-dimensional Earth observations. A key contribution is his co-development of the Earth System Data Cube concept, which integrates empirical methods with theoretical understanding to analyze complex Earth system interactions. His work spans biogeography, ecosystem functioning, and advanced data science methodologies for environmental monitoring. His recent publications demonstrate a strong emphasis on analyzing compound climate extremes, particularly heatwaves and droughts, and their impacts on ecosystems. Mahecha has pioneered methods using Earth System Data Cubes to integrate diverse environmental datasets, enabling novel insights into biosphere-atmosphere interactions. His research increasingly incorporates artificial intelligence and machine learning approaches to understand spatiotemporal patterns in ecological systems, with applications in real-time forest monitoring and biodiversity assessment. Fellow of the European Laboratory for Learning and Intelligent Systems Co-spokesperson for NFDI4Earth (National Research Data Infrastructure for Earth System Sciences) Mahecha leads multiple significant research projects including Digital Forest (real-time forest monitoring), NFDI4BioDiversity, and XAIDA (extreme events: AI for Detection and Attribution). His work receives funding from diverse sources including EU, DFG, and Stiftungen Inland. He collaborates extensively with the German Centre for Integrative Biodiversity Research (iDiv) and the Centre for Scalable Data Analytics and Artificial Intelligence. His research group, Earth System Data Science (ESDS), focuses on developing methods to extract valuable information from long-term environmental observations to understand coupled Earth system dynamics. At the Remote Sensing Centre for Earth System Research, Mahecha's ESDS group investigates how ecosystem functions respond to climate extremes, societal vulnerability to environmental hazards, and nonlinear interactions in coupled Earth systems. The group leverages citizen science data, remote sensing observations, and advanced computational methods to address pressing environmental questions.

Yves Boubenecمشاهده پروفایل

دانشیار

• Auditory Neuroscience
• Perceptual Attention
• Sound Encoding
• +۳ مورد دیگر

Dr. Yves Boubenec is an Associate Professor at École Normale Supérieure (ENS)-PSL University, Paris, France. He serves as Head of the LSP Neuro Platform and Director of Studies at the Department of Cognitive Studies. Academic Rank: Associate Professor Institution: ENS-PSL Departments: Cognitive Studies (ENS), LSP Neuro Platform Email: yves.boubenec@ens.psl.eu Research Focus: Boubenec investigates neural mechanisms of auditory perception and cognition using integrated methodologies spanning single-neuron electrophysiology to large-scale neuroimaging. His work reveals how context, learning, and multisensory interactions shape sound encoding in mammalian neocortex. Primary Research Themes Context-dependent auditory encoding Perceptual attention mechanisms Task-driven neural plasticity Self-supervised learning models Population-level cortical dynamics Human/ferret auditory comparisons Publication Trends: Recent work (2024-2025) examines speech production networks, premotor auditory categorization, and algebraic structures in sound learning. Earlier studies (2018-2022) focus on population gating, hierarchical auditory coding, and self-voice mechanisms. 2025 Self-voice frequency analysis Hierarchical ferret auditory cortex mapping Temporal window constraints 2024 Premotor category hemodynamics Self-supervised sound structures Human speech cortical encoding Methodological Expertise: Combines awake ferret functional UltraSound, Neuropixels recordings, and computational modeling to analyze neural representations across spatial scales. Specializes in translating animal model findings to human auditory processes.

• Twentieth and Twenty-First Century Literature and Culture
• Literatures of the Global South
• Transnational Cinema
• +۱۱ مورد دیگر

Peter Hitchcock is a Professor at Baruch College's Weissman School of Arts and Sciences, Department of English. A distinguished scholar with a PhD from CUNY Graduate Center, he specializes in postcolonial theory, global literature, and cultural critiques of neoliberalism. His work bridges literary analysis, political economy, and digital humanities. PhD, English, CUNY Graduate Center M.A., English, University of Massachusetts Amherst B.A., Humanities, University of Greenwich His research spans twentieth-century literature , transnational cinema , and environmental culture , with a focus on decolonizing narratives and labor studies. He has published extensively on topics like racial capitalism , digital resistance , and energy humanities . The 15 most recent publications highlight his interdisciplinary approach, including work on postcolonial urbanism , neoliberal documentary , and crypto-capitalism . His articles often employ chronotopic analysis and dialectical materialism to examine cultural production. Scientific Awards : Recipient of multiple PSC-CUNY awards, Mellon Fellowship, NEH grants, and IREX travel support Grants : Funded projects on Beijing's chronotopic representation and African writing in failed states Hitchcock has served on numerous committees including the CUNY/Shanghai University Exchange Program and Center for Place, Culture and Politics . His editorial roles at Cultural Logic and Dialogism underscore his institutional influence.

• Cultural and Creative Industries
• Social Theory (Niklas Luhmann’s system theory)
• Network Analysis
• +۵ مورد دیگر

Dr. Christian Morgner is a Senior Lecturer in Cultural and Creative Industries at the Sheffield University Management School. He holds a PhD and MA, with expertise in complexity studies, relational sociology, and cultural networks. His research focuses on: Global cultural processes and innovation Diversity and inclusivity in creative industries Network analysis in urban informal settlements Dementia care through arts interventions Media events and translation dynamics Recent publications analyze cultural transformations in Santiago de Chile, relational creativity in Olympic ceremonies, and digital heritage politics in China. He has secured grants including the Rutherford Fellowship and Japanese Society for the Promotion of Science funding. Scientific awards include: Rutherford Fellowship Japanese Society for the Promotion of Science Postdoctoral Research Fellowship He supervises PhD students and teaches modules on critical theories in cultural and creative industries, marketing, and branding.

Fedor Dokshinمشاهده پروفایل

استادیار

• Computational and Quantitative Methods
• Environmental Sociology
• Political Sociology
• +۴ مورد دیگر

Fedor Dokshin is an Assistant Professor in the Department of Sociology at the University of Toronto, Downtown Toronto (St. George) campus. His research bridges computational social science with environmental and political sociology, focusing on energy transitions, partisan dynamics, and social network structures. Key research areas include racial and income disparities in solar photovoltaic adoption, policy feedback mechanisms in renewable energy programs, and partisan influences on environmental decision-making. Fields of Study: Computational and Quantitative Methods, Environmental Sociology, Political Sociology, Social Networks Areas of Interest: Computational social science, Energy and the environment, Political polarization Research Trends: Dokshin's publications reveal a focus on energy justice, behavioral diffusion models, and political polarization. His work combines computational methods with environmental policy analysis, examining how socioeconomic factors and partisan identities shape renewable energy adoption. Articles demonstrate geographic heterogeneity in opposition to extraction projects, digital discourse analysis techniques, and institutional dynamics affecting scholarly knowledge production. Methodological Emphasis: Utilizes large-scale data analysis, spatial modeling, and automated textual analysis to explore energy-environment-society intersections. Research highlights the tension between technical solutions and social equity in energy transitions, with recurring themes of policy design, public engagement, and networked political behavior.

Andrea Bachnerمشاهده پروفایل

استاد

• Comparative Literature
• Sinophone Studies
• Latin American Cultural Production
• +۷ مورد دیگر

Andrea Bachner is a Professor of Comparative Literature at Cornell University’s College of Arts and Sciences. She served as Director of the East Asia Program (2019–2022) and contributes to transregional research through editorial and committee roles. Her work bridges Sinophone, Latin American, and European cultural productions. MA, Ludwig Maximilian University of Munich PhD, Harvard University Her research focuses on theories of interculturality, media studies (visuality/textuality), gender/sexuality, and transcultural queer theory. She examines how cultural comparison reshapes literary and media analysis, with attention to Sinophone diasporic and minor cultural expressions. Her recent publications explore Sinographic practices in global contexts, poststructuralist media theory, and cross-Pacific cultural projects. Key journals include Comparative Literature , Modern Chinese Literature and Culture , and Oxford Handbook of Modern Chinese Literatures . Notable awards include the 2002 Owen A. Aldridge Prize for her article in Comparative Literature Studies . She teaches courses on literary theory, Judith Butler, and global literature at Cornell.

Giovanni Semiمشاهده پروفایل

استاد

• Urban Studies
• Gentrification
• Urban Sociology
• +۶ مورد دیگر

Giovanni Semi is a Full Professor in Urban Sociology at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) at Politecnico di Torino. His academic career spans multiple institutions, with significant teaching contributions to doctoral programs at both the University of Milan and University of Turin over the past decade. University of Milan (2013-2023): Multiple cycles of Sociology and Methodology of Social Research University of Turin (2016-2018): Sociology and Methodology of Social Research His research focuses on three interconnected areas: urban studies (particularly gentrification, platform capitalism, and public spaces), migration studies (Mediterranean circulations and daily multiculturalism), and sociology (ethnographic methods, class analysis, and housing dynamics). Semi's work bridges theoretical frameworks with empirical fieldwork, often employing qualitative methodologies to examine contemporary urban transformations. Semi's recent publications demonstrate a consistent focus on the evolving nature of urban inequality, particularly examining how short-term rental platforms, post-pandemic conditions, and gentrification processes reshape urban landscapes and social relations. His work often centers on Turin as a case study while maintaining broader theoretical implications for Southern European urban contexts. As an academic, Semi has contributed significantly to methodological discussions through his practical guide to participant observation, now in its second edition. His research has appeared in prominent journals including Cities, European Urban and Regional Studies, and Identities. His work on urban sociology, particularly concerning gentrification processes and the impact of platform economies on housing markets, has established him as a significant voice in contemporary urban studies, with particular expertise on Southern European urban contexts.

Darren Smithمشاهده پروفایل

استاد

• Population Geography
• Rural Gentrification
• Studentification
• +۳ مورد دیگر

Professor Darren Smith is a leading academic in Geography at Loughborough University, specializing in population geographies, rural gentrification, and studentification. He holds editorial roles at The Geographical Journal and Journal of Rural Studies , and chairs the International Geographical Union’s Commission on Population Geography. His career includes visiting appointments at Hunan University (China), Tsinghua University, and others. Smith earned his PhD from the University of Leeds and has held academic positions at Loughborough University since 2012, previously at the University of Brighton. His research focuses on migration patterns, urban-rural dynamics, and the societal impacts of studentification. Key research interests include rural gentrification displacement, transnational migration, and the geographies of education. His work analyzes how population movements reshape communities and landscapes, particularly in China and the UK. Editorial and professional roles include leadership in global geographical organizations, emphasizing interdisciplinary collaboration. His recent articles explore future directions in Chinese population studies and comparative rural gentrification.

• Behavioral Ecology
• Animal Behavior
• Social Systems
• +۴ مورد دیگر

Eli D. Strauss is a behavioral ecologist and Postdoctoral Researcher at the Max Planck Institute of Animal Behavior and the University of Konstanz. He will transition to an Assistant Professor position at the Department of Integrative Biology, Michigan State University in late 2025. His research focuses on the evolution of stable social systems, particularly in spotted hyenas, analyzing how individual behaviors and relationships shape group-level dynamics. Strauss employs field experiments, computational techniques, and long-term observational data to study dominance hierarchies, social inequality, and the interplay between individual experiences and collective behaviors. Research Interests : Strauss investigates how societies emerge from individual interactions, emphasizing long-term perspectives. Key themes include dominance hierarchy dynamics, social inheritance, and the ecological drivers of social behavior. His work bridges behavioral ecology with computational methods, addressing questions about social structure stability and evolutionary adaptations. Key Projects : Co-director of the Mara Hyena Project in Kenya, a long-term study on hyena behavior and ecology. Developing methodologies for longitudinal studies of dominance hierarchies, including frameworks for analyzing hierarchy dynamics across timescales. His computational tools (e.g., DynaRankR ) are widely used for dominance inference. Upcoming Initiatives : Establishing a lab at Michigan State University focusing on social behavior and collective ecology. Recruiting graduate students and postdocs to study social systems, computational ecology, and animal behavior.

Andrea Garzelliمشاهده پروفایل

استاد

• Remote Sensing
• Image Processing
• Signal Processing
• +۴ مورد دیگر

Andrea Garzelli is a Full Professor at the University of Siena's Department of Information Engineering and Mathematical Sciences. His research focuses on remote sensing image processing, particularly in optical and SAR sensor technologies, image fusion, and spatial resolution enhancement. He holds teaching roles in 'Fundamentals of Signal Processing and Telecommunications' and 'Statistical Signal Processing.' He earned his Ph.D. in Computer Science and Telecommunication Engineering from the University of Florence. Notably, he was recognized as a World's Top 2% Scientist by Stanford University for 2019–2023 and his career-long contributions. He served as President of the University of Siena's Quality Assurance Committee (2016–2021) and currently coordinates the graduate program in Computer and Information Engineering. Research interests include satellite data analysis (e.g., Sentinel-2, PRISMA), hypersharpening techniques, and environmental monitoring. His work bridges theoretical advancements (e.g., pansharpening algorithms) and practical applications like urban land classification and vegetation index enhancement. Recent articles emphasize reproducibility, meta-analysis, and synthetic data generation through GANs. Awards: World's Top 2% Scientists (2019–2023 & career). Grants/Advising: Supervises remote sensing theses; no specific grants mentioned. Labs/Teams: Leading research in the department's remote sensing and signal processing groups.