جست‌وجوی استاد و پژوهشگر

Darren Scottمشاهده پروفایل

استاد

• Transportation Geography
• Geographic Information Science (GIScience)
• Sustainable Transportation
• +۱۳ مورد دیگر

Dr. Darren Scott is a Professor in the School of Earth, Environment & Society at McMaster University, specializing in Geographic Information Science (GIScience) and teaching courses such as GIS Programming and Data Processing Using Python. He previously served as an Assistant Professor at the University of Louisville’s Department of Geography and Geosciences (1999–2002) and held a Visiting Research Professor position at the Swiss Federal Institute of Technology (Zurich) in 2008. His academic background includes a BA (Honors and Co-op) in Geography from Saint Mary’s University (1991), an MA from the University of Western Ontario (1994), and a PhD from McMaster University (2000). Dr. Scott’s research focuses on transportation systems, aging populations, GIScience innovations, and sustainable infrastructure. He has pioneered work in route choice modeling, transportation demand analysis, and the impact of demographic changes on mobility. In 2008, he established TransLAB, a research lab within his school, which explores advanced transportation topics using GPS and geospatial tools. His projects have been funded by major agencies like NSF, SSHRC, and NSERC, addressing issues ranging from electric vehicle adoption to flood resilience in emergency services. His teaching emphasizes Python programming and advanced GIS applications, reflecting his expertise in geospatial technologies. He has contributed to policy debates on urban sustainability, particularly regarding Canada’s Greenbelt legislation and telework trends during the pandemic. Despite no explicitly mentioned scientific awards, his extensive grant history and scholarly output highlight his impactful contributions to the field. Dr. Scott’s advising and grant activities center on interdisciplinary studies, including the McMaster Monitoring My Mobility Study (MacM3), which tracks mobility patterns of older adults. His work bridges transportation engineering, urban planning, and public health, often leveraging big data and GIS tools to analyze real-world scenarios in cities like Hamilton and Calgary.

Hannes Taubenböckمشاهده پروفایل

استاد

• Remote Sensing
• Global Urbanization
• Urban Structure Analysis
• +۶ مورد دیگر

Prof. Dr. Hannes Taubenböck holds the Chair of Global Urbanization and Remote Sensing at the Julius-Maximilians University of Würzburg (Faculty of Philosophy, Institute of Geography and Geology) since 2022 and collaborates with the German Aerospace Center (DLR). His research bridges remote sensing with urban geography, focusing on: Global urbanization patterns and structural analysis Informal settlements (slums/refugee camps) Climate change and natural hazard vulnerability Migration dynamics via remote sensing and social media He obtained his PhD (2008) and habilitation (2019) at JMU Würzburg, preceded by geography studies at LMU Munich (1999-2004). His recent publications analyze: Climate impacts on African agriculture Urban permeability and walkability Border region disparities Heat exposure modeling Methodologically, he specializes in: Deep learning for earth observation Multi-modal data fusion Urban pattern classification Building stock analysis His work informs policy applications in: EU cohesion programs Disaster risk reduction Environmental justice Urban sustainability

Chunyuan Diaoمشاهده پروفایل

دانشیار

• Remote Sensing
• GIScience
• Ecosystem Dynamics
• +۴ مورد دیگر

Dr. Chunyuan Diao is an Associate Professor in the Department of Geography & Geographic Information Science at the University of Illinois at Urbana-Champaign (UIUC), part of the College of Liberal Arts & Sciences. He serves as Director of Graduate Studies and leads the Remote Sensing Space-Time Innovation (RSSI) Lab. His research focuses on computational remote sensing, ecosystem dynamics, and geospatial data science, integrating satellite imagery, AI, and high-performance computing to study climate change impacts, agriculture, and biodiversity. Dr. Diao has received prestigious awards including the 2024 AAG Fellowship and the NSF CAREER Award. He teaches courses such as GGIS 477 (Intro to Remote Sensing) and GGIS 489 (Programming for GIS). His lab actively mentors students in advanced remote sensing techniques, with notable alumni like Zijun (now a tenure-track professor at UNC Wilmington) and Chishan (Frontera Computational Science Fellow). Key research themes include multi-scale land surface phenology, intelligent agriculture, and invasive species monitoring. The RSSI Lab collaborates on large-scale projects like CropSight, leveraging street view and satellite data for crop monitoring. Dr. Diao’s work bridges remote sensing with field observations to address global environmental challenges.

Joseph Woodمشاهده پروفایل

استاد

• Visual Analytics
• Data Visualization
• Geographic Information Science
• +۵ مورد دیگر

Professor Joseph Wood is a Professor of Visual Analytics at City St George's, University of London, where he serves as a founding member of the giCentre. His academic career spans over three decades, with continuous contributions to Geographic Information Science and visualization since 1990. He previously served as Head of Department for Computer Science at City University between 2014 and 2017. Professor Wood's educational background includes a PhD in Geographical Information Science from the University of Leicester (1996), an MSc in the same field from the University of Leicester (1990), and a BSc in Physical Geography & Geology from the University of Sheffield (1989). His academic progression shows steady advancement from Research Scholar at the University of Leicester (1990-1992) through various lecturer and senior positions to his current professorship. His research interests center on visual analytics and data visualization, with particular expertise in geographic information science and terrain analysis. Professor Wood has developed innovative methods bridging GI Science, Data Visualization, and education domains. His specific interests include narrative of visual analytic design, computational thinking in pedagogy, and novel visualization design for geographic data. His work demonstrates a consistent focus on making complex spatial data understandable through innovative visualization techniques. Analysis of Professor Wood's recent publications reveals a strong emphasis on practical applications of visualization techniques across diverse domains including transportation, epidemiology, sports analytics, and historical migration patterns. His work shows an evolution from foundational geographic information science toward broader applications in visual analytics, with increasing focus on narrative structures, responsive design, and accessibility considerations in visualization. The interdisciplinary nature of his research is evident in collaborations spanning computer science, geography, urban planning, and public health domains. Professor Wood has been actively involved in the academic community, serving on organizing and program committees for major international conferences including IEEE Infovis and VAST, Eurovis, GIScience, Spatial Accuracy, and Geomorphometry. His contributions to the field have been recognized through invitations to deliver keynote talks at prestigious venues ranging from GeoComputation to TEDx, where he presented on topics such as visualizing movement behavior of cyclists. As an advisor, Professor Wood has supervised numerous PhD and Master's students, with current supervision of Julia Crossley (Student conceptualisation of abstraction in computer science) and Jude Nzemeke (Understanding student misconception in recursive algorithmic thinking). His extensive supervision history includes completed PhDs on topics ranging from cycling behavior to spatio-social relations in photographic archives. His academic leadership extends to software development, with contributions to tools like litvis, elm-vega/el-vegalite, giCentre Utils, handy, and LandSerf GIS. Professor Wood is an active member of professional organizations including IEEE (2007-present), Association of Computing Machinery (ACM) (2007-present), and Association of Geographic Information (AGI) (1997-present), demonstrating his commitment to interdisciplinary collaboration across computer science and geographic information domains.

Anand Padmanabhanمشاهده پروفایل

عضو هیئت علمی

• Advanced Cyberinfrastructure
• CyberGIS
• Geospatial Data Science
• +۵ مورد دیگر

Anand Padmanabhan is a Research Associate Professor in the Department of Geography & Geographic Information Science at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the School of Earth, Society & Environment within the College of Liberal Arts & Sciences. He holds a Ph.D. in Computer Science from the University of Iowa, alongside an MS in Computer Science (University of Iowa) and a BE in Computer Engineering (University of Mumbai). His research focuses on advanced cyberinfrastructure, cyberGIS, geospatial data science, and high-performance computing. He leads the spatial algorithms and systems team at the CyberGIS Center for Advanced Digital and Spatial Studies, developing cyberGIS capabilities to leverage advanced computing for geospatial innovation. His work emphasizes scalable geocomputation, cloud-based frameworks, and reproducible research environments, with contributions to tools like CyberGIS-Compute and EasyScienceGateway. Recent publications highlight advancements in science gateway frameworks, middleware systems, and geospatial education platforms. He serves as Online MS Program Adviser and has secured NSF and EPA grants for interdisciplinary projects. His work spans transdisciplinary training programs, urban sensing analytics, and integration of social media with geospatial data.

Yiyi Heمشاهده پروفایل

استادیار

• Urban Planning
• GIScience
• Climate Science
• +۶ مورد دیگر

Yiyi He is an Assistant Professor at the School of City and Regional Planning (SCaRP) in the College of Design at Georgia Tech. Her research focuses on interdisciplinary approaches to climate change resilience, urban planning, GIScience, and artificial intelligence. She examines the impacts of extreme weather events—such as flooding, wildfires, and heat—on critical infrastructure and vulnerable communities, leveraging data-driven methods like GIS, machine learning, and spatial statistics. Education: Bachelor’s degree from Nanjing University Master’s and Ph.D. from UC Berkeley Research Interests: Her work emphasizes understanding uncertainties and asymmetric impacts of climate change on urban systems. Specific areas include: Climate-resilient infrastructure networks GIS-based flood modeling Social vulnerability analysis Policy-driven resilience strategies Articles Overview: Recent publications highlight global flood impacts on road networks, cascading failures in health infrastructure, and lightning strike hazards in aviation systems. Themes consistently address data-driven resilience strategies and interdisciplinary solutions to climate challenges. Awards and Grants: No specific awards or grants mentioned in the provided text. Labs and Teams: While not explicitly detailed, her research aligns with Georgia Tech’s initiatives in climate resilience and urban systems.

Konstadinos Gouliasمشاهده پروفایل

استاد

• Transportation Planning
• GIScience
• Activity-Based Modeling
• +۵ مورد دیگر

Konstadinos (Kostas) Goulias is a Professor of Transportation in the Department of Geography at the University of California, Santa Barbara (UCSB), where he has served since 2004. Previously, he held academic positions at Penn State University from 1991 to 2004, including roles as Associate and Full Professor of Transportation Engineering. His research focuses on transportation systems planning, travel behavior dynamics, activity-based modeling, GIScience, and spatial analysis of transportation data. **Education**: Ph.D. in Civil Engineering (Transportation), University of California, Davis, 1991 M.S. in Civil Engineering, University of Michigan, Ann Arbor, 1987 Laurea Magistrale in Engineering, University of Calabria, Italy, 1986 **Research Interests**: Transportation demand modeling and microsimulation Activity-travel behavior analysis Spatiotemporal analysis of mobility using big data GIScience applications in transportation Policy implications of emerging technologies (e.g., autonomous vehicles) **Key Contributions**: Co-founder and Editor-in-Chief of Transportation Letters Principal Investigator of $6.5M in research projects Authored/edited three books and over 350 peer-reviewed publications Led the development of the SimAGENT microsimulation framework Directed the GeoTrans Laboratory at UCSB since 2007 **Awards**: Pyke Johnson Award (2021, 2016) Best Paper Award (2021) Chair of TRB committees on traveler behavior and activity-based approaches **Grants/Students**: Supervised multiple graduate students in transportation and geography Managed projects with sponsors including USDOT, state agencies, and international organizations **Labs/Teams**: GeoTrans Laboratory: Focused on smart city planning and transportation innovation Collaborations with institutions globally, including Australia, Europe, and Qatar

Wenwen Liمشاهده پروفایل

استاد

• Geographic Information Science
• Cyberinfrastructure
• Big Data
• +۸ مورد دیگر

Wenwen Li is a Professor at Arizona State University (ASU), holding roles as Director of the CyberInfrastructure and Computation Intelligence (CICI) Lab and Research Director at the Spatial Analysis Research Center (SPARC). She specializes in geographic information science, cyberinfrastructure, and geospatial big data. Her work focuses on developing intelligent cyberinfrastructure for environmental and urban studies, leveraging AI and semantic technologies. Li's research has been supported by NSF, USGS, and Google.org, among others. Education: Ph.D. in Earth System and Geoinformation Science (George Mason University, 2010), M.S. in Signal and Information Processing (Chinese Academy of Sciences, 2007), and B.S. in Computer Science (Beijing Normal University, 2004). Research Interests : Cyberinfrastructure, spatial-temporal data mining, semantic interoperability, GeoAI applications in climate science, and urban studies. Her lab, CICI, pioneers projects like the Arctic Permafrost Thaw analysis and disaster response systems. Awards : 2023 AAG and UCGIS Fellowships, 2021 NSF Mid-Career Award, 2015 NSF CAREER Award, and the 2024 Greg Leptoukh Lecture Award (AGU). She chairs AAG's Cyberinfrastructure Specialty Group and serves on editorial boards of key journals. Grants & Service : Leads NSF-funded projects on GeoAI, climate modeling, and Arctic science. Active in AAG leadership roles and global initiatives like the Polar Cyberinfrastructure Portal. Recruits Ph.D. students in Geography and Computer Science. Labs & Teams : Directs the CICI Lab, advancing interdisciplinary GeoAI research and training. Collaborates with global partners on environmental and computational geography projects.

Aaron Maxwellمشاهده پروفایل

دانشیار

• Geospatial Science
• Remote Sensing
• Machine Learning
• +۶ مورد دیگر

Aaron Maxwell is an Associate Professor in the Department of Geology and Geography at West Virginia University (WVU). He serves as the principal investigator of West Virginia View, a member of AmericaView, and director of the WV GIS Technical Center. His research focuses on spatial predictive modeling, geohazard mapping, machine/deep learning applications in remote sensing, and thematic map accuracy assessment. He holds degrees from Alderson Broaddus University (B.S. in Biology, Chemistry, Environmental Science) and WVU (M.S. and Ph.D. in Geology), with a GIS Professional (GISP) certification. Education: Bachelor of Science in Biology, Chemistry, and Environmental Science – Alderson Broaddus University Master of Science in Geology – West Virginia University Doctor of Philosophy in Geology – West Virginia University Research Interests: Dr. Maxwell’s work emphasizes computational methods to extract insights from geospatial data. Key areas include: Deep learning for geomorphic feature extraction (e.g., LIDAR-based semantic segmentation) Machine learning applications in forest fuel load estimation and slope failure modeling Best practices for assessing deep learning outputs in remote sensing Synthetic data generation for predictive modeling Community flood resiliency and participatory GIS Publications: His recent work highlights advancements in geospatial deep learning (e.g., the geodl R package), accuracy assessment metrics for imbalanced datasets, and modeling post-mining landscape evolution. Articles often blend theoretical frameworks with applied case studies across environmental and geotechnical domains. Grants & Funding: Supported by NSF (CAREER Award) and AmericaView, his work trains students and develops open-source geospatial tools. Current projects include synthetic forest stand modeling and flood resiliency initiatives. Labs & Teams: Leads WV View, fostering remote sensing education and data sharing. Collaborates on geospatial workforce development and open-source software initiatives (e.g., GIScience courses, ArcGIS Pro labs).

Yongwan Chunمشاهده پروفایل

استاد

• Geographic Information Science (GIS)
• Spatial Statistics
• Urban Geography
• +۵ مورد دیگر

Professor Yongwan Chun is a faculty member in the Geospatial Information Sciences program at the University of Texas at Dallas , affiliated with the School of Economic, Political and Policy Sciences. His academic journey includes a PhD in Geography (2007) and MS in Applied Statistics (2006) from the Ohio State University. Research Interests: Methodological advancements in GIScience, spatial statistics, environmental justice, urban crime analysis, population migration, and commodity flow modeling. Awards: Emerging Scholar Award (2017) from the Spatial Analysis and Modeling Specialty Group of the Association of American Geographers. Grants: Multiple awards from National Science Foundation and National Institute of Health totaling $1.4 million. Article Trends reflect expertise in spatial autocorrelation (Moran's I, Geary's C), location-allocation modeling (p-median, p-dispersion), and applications to healthcare accessibility, urban crime patterns, housing market segmentation, and climate impacts. His work integrates GIScience with Bayesian methods, eigenvector filtering, and big data uncertainty. Collaborators: Daniel A. Griffith, Hyun Kim, and students like Dongeun Kim and Changho Lee. Recent Topics: Trauma center accessibility, snowpack variation modeling, and spatiotemporal crime analysis. Contact: ywchun@utdallas.edu | Office: GR 3.208, UT Dallas

Dave Bennettمشاهده پروفایل

استاد

• Geographic Information Science (GIScience)
• Environmental Decision-Making
• Human-Environment Interactions
• +۱۲ مورد دیگر

Dave Bennett is a Professor in the Department of Geography at the University of Iowa, within the College of Liberal Arts and Sciences. His work bridges geographic information science, environmental policy, and complex systems theory, with a strong emphasis on interdisciplinary research. He is actively involved in teaching and mentoring graduate students, offering courses in GIS, field methods, and environmental applications. Research Interests: His research lies at the intersection of technology, policy, and science, focusing on geographic information science (GIScience) and environmental decision-making. He is particularly interested in human-environment interactions and how complex, nonlinear responses emerge from system interactions. Much of his work is framed within complexity theory and employs agent-based modeling, evolutionary algorithms, and cyberinfrastructure to study land use change, watershed management, and disaster response. Publication Trends: His most recent publications (2010–2016) demonstrate a consistent focus on agent-based modeling, parallel computing, land use dynamics, and socio-environmental systems. These works often integrate high-performance computing and service-oriented architectures to simulate complex spatial processes. Key themes include resilience, opinion diffusion, mobility, and provenance in geosimulation. Scientific Awards: No specific awards or fellowships are mentioned in the provided text. Advising and Grants: Dave Bennett has advised numerous PhD and Master’s students, including current advisees Patrick Bitterman, Haoyi Xiong, Shuang Xu, and James Madden. He has served as principal investigator or senior personnel on multiple major grants from the NSF, USDA, NIH, and NGA, totaling millions of dollars. Key projects include 'People, Water, and Climate,' 'Geoinformatics for Environmental and Energy Modeling and Prediction (GEEMaP),' and 'Understanding Water-Human Dynamics with Intelligent Digital Watersheds.' Labs and Teams: While no specific lab name is mentioned, his research is conducted within multidisciplinary teams and leverages cyberinfrastructure platforms at the University of Iowa. His work often involves collaboration with engineers, ecologists, and social scientists, particularly through NSF-funded interdisciplinary programs.

Harvey Millerمشاهده پروفایل

استاد

• GIScience
• Mobility Science
• Sustainable Transportation
• +۷ مورد دیگر

Harvey Miller is a Professor and Reusche Chair in Geographic Information Science at The Ohio State University's Department of Geography, College of Arts and Sciences. He serves as Director of the Center for Urban and Regional Analysis (CURA). His research focuses on GIScience, mobility science, and sustainable transportation, particularly integrating geospatial techniques with transportation equity, time geography, and urban sustainability. He teaches courses in geospatial databases, spatial modeling, and sustainable transportation. Education: Ph.D. (Geography), The Ohio State University, 1991 M.A. (Geography), Kent State University, 1987 B.A. (Geography), Kent State University, 1985 Research Interests: His work explores geospatial analysis of urban mobility, accessibility equity, and smart city technologies. Notable projects include the Ghost Neighborhoods initiative (3D modeling of historic Black neighborhoods), analysis of public transit reliability, and environmental justice tool development. He co-authored a National Academies report on geospatial tools for environmental justice. Achievements: Co-chair of National Academies consensus study on environmental justice tools Lead on Columbus Smart City Operating System project Recipient of U.S. Department of Transportation funding Labs/Teams: Director of CURA, collaborating with institutions like the Ohio History Connection on urban heritage projects. Affiliated with the Sustainability Institute and Translational Data Analytics Institute at OSU.

Di Zhuمشاهده پروفایل

استادیار

• Geographic Information Science
• Geospatial Artificial Intelligence (GeoAI)
• Spatial Networks
• +۶ مورد دیگر

Di Zhu is an Assistant Professor of Geographic Information Science at the University of Minnesota's Department of Geography, Environment and Society. He directs the Geospatial Data Intelligence (GeoDI) Lab, focusing on GeoAI and social sensing to analyze human-environment interactions in urban systems, public health, and socioeconomic dynamics. His educational background includes a PhD in Cartology and GIScience from Peking University, complemented by a BSc in GIS and a BA in Economics from the same institution. Key research interests include spatial regression models, human mobility patterns, and GeoAI applications. He has collaborated on projects funded by NIH, NSF, and other agencies, exploring topics like spatiotemporal data imputation, urban flow analysis, and pandemic spatial dynamics. His work bridges traditional GIScience with modern machine learning techniques, emphasizing actionable insights from big geospatial data. Teaching focuses on advanced GIS, numerical spatial analysis, and urban sensing. He actively mentors students through the University of Minnesota's Master of GIS program and serves on academic boards including CPGIS. Current projects include analyzing Twin Cities mobility networks and developing intelligent spatial prediction frameworks.

Shelley Xuelian Mengمشاهده پروفایل

دانشیار

• Remote Sensing
• Coastal Dynamics
• Wetland Restoration
• +۵ مورد دیگر

Introduction Dr. Shelley Xuelian Meng is an Associate Professor in the Department of Geography and Anthropology at Louisiana State University (LSU), part of the College of Humanities & Social Sciences. Her research focuses on leveraging remote sensing technologies (e.g., UAVs, LiDAR, multispectral imaging) to study coastal dynamics, wetland restoration, vegetation health, and precision agriculture. Education Ph.D. in Geography and GIScience, Texas State University (2010) M.S. in GIS and Cartography, Chinese Academy of Sciences (2003) B.E. in Information Engineering, Wuhan University (2000) Research Interests Meng’s work emphasizes the application of advanced geospatial technologies to address environmental challenges. Key areas include: Coastal wetland die-off and restoration using multi-scale remote sensing LIDAR and UAV-based terrain and vegetation mapping Object-oriented classification algorithms for environmental monitoring GIS integration for precision agriculture and disaster management Awards & Recognition 2023 Tipton Team Award (for Roseau cane die-off research) 2014 Best Paper Award in Remote Sensing CPGIS Young Scholar (2012) Grants & Projects Notable funded projects include: USDA-funded Roseau cane die-off studies ($1.6M+ across multiple years) Development of LiDAR and thermal sensing tools for coastal research Acquisition of terrestrial LiDAR equipment for multidisciplinary studies Labs & Affiliations Meng directs the Technology Intensive Geospatial and Remote Sensing (TIGeRS) Lab , which houses advanced equipment including drones, LiDAR scanners, and multispectral sensors. The lab collaborates with the LSU Coastal Studies Institute and other institutions.

Thomas Blaschkeمشاهده پروفایل

پژوهشگر ارشد

• Geosciences
• Geoinformatics
• Remote sensing
• +۳ مورد دیگر

Thomas Blaschke is a Research Fellow at the Department of Geoinformatics - Z_GIS, University of Salzburg. His work bridges geospatial technologies, remote sensing, and sustainable urban systems, emphasizing object-based image analysis (OBIA) as a transformative paradigm in geographic information science. Research Areas : Geoinformatics, Remote Sensing, Spatial Research, Physical Geography, Cartography Blaschke’s publications highlight advancements in OBIA techniques, sustainable landscape management, and urban monitoring using geospatial technologies. His 2014 paper on Geographic Object-based Image Analysis (GEOBIA) demonstrates its integration into modern remote sensing workflows. He has received prestigious awards including the Christian-Doppler-Preis , Marie Curie Research Grant , and Fulbright Professorship , underscoring his international impact. His projects often involve interdisciplinary collaborations, supported by grants from institutions like the European Commission and University of South Carolina. Scientific Awards : Christian-Doppler-Preis des Landes Salzburg Marie Curie Research Grant Förderungspreis der Österreichischen Geographischen Gesellschaft Fulbright Professorship Provost Grant of the University of South Carolina