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جست‌وجوی استاد و پژوهشگر

استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشی‌تان را پیدا کنید و با او ارتباط بگیرید.

نمایش ۲۵۶-۲۷۰ از ۲۷۶ استاد راهنما

اطلاعات این پروفایل‌ها از صفحات عمومی دانشگاه‌ها جمع‌آوری شده و ممکن است به‌روز نباشد.

Zhe Zhangمشاهده پروفایل

استادیار

Texas A&M UniversityUnited States

Dr. Zhe Zhang is an Assistant Professor in the Department of Geography at Texas A&M University and an affiliate faculty member in the Department of Electrical and Computer Engineering. She leads the Cyberinfrastructure and Spatial Decision Intelligence (CIDI-Spatial) research group and holds roles such as Director of the CIDI-Spatial Lab and Council Member of the Gulf of Mexico Coastal Ocean Observing System. Her research focuses on advancing cyberinfrastructure, geospatial data science, and decision support systems to address complex human-environment interactions, sustainability, and disaster resilience. She has secured over $18 million in research grants from NSF, NOAA, NASA, and others. Education: Doctor of Science (Geoinformatics), Aalto University, Finland (2016) Master of Science (Geomatics), Helsinki University of Technology, Finland (2009) Bachelor of Environmental Engineering, Tampere University of Applied Sciences, Finland (2005) Research Interests: Dr. Zhang's work intersects GIScience, decision science, and cyberinfrastructure. Key areas include cyberGIS, geospatial AI, human-centered decision-making, spatial uncertainty modeling, and disaster management. She develops scalable decision support systems for applications like flood emergency management, sustainable fisheries, and urban resilience. Awards: NSF CAREER Award (2023) UCGIS Community Champion Award (2022) Multiple NSF grants including CyberTraining and ACES initiatives Grants & Advising: Current NSF grants include $568K for coastal resilience (CAREER) and $455K for disaster management workforce development. She actively advises graduate students in GIS, spatial analytics, and data science. Notable student achievements include winning Texas A&M data science competitions and securing roles at ESRI and GCOOS. Labs & Teams: The CIDI-Spatial Lab focuses on cyberGIS tools and spatial decision support. Collaborations include NASA-funded heat vulnerability analysis in Oklahoma City and NOAA-funded coastal resilience projects. The lab also engages in K-12 education programs like the Texas Youth Geography Network.

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Siqin Wangمشاهده پروفایل

استاد مدعو

RMIT UniversityAustralia

Dr. Siqin Wang is an Adjunct Professor in the School of Science at RMIT University , specializing in GIScience and Human Geography. Her research focuses on applying geospatial technologies and big data analytics to address challenges in computational social science, human-environment interactions, digital health, and climate change adaptation. Education: PhD conferred in 2018 (institution unspecified). Teaching: Previously taught six courses at University of Queensland, including Introduction to Geographic Information Analysis and Spatial Modelling. Research Interests: Urban modelling, remote sensing, geospatial AI, social vulnerability, migration, and climate adaptation. She has published over 50 journal articles and leads projects funded by Australian Urban Research Institute, Japan Society for the Promotion of Science, and others. Awards: Recognized with global awards including the 2022 Best Paper Award and Top 20 Global Cutting-edge Technology Young Scientist (2022). Nominated as a JSPS Research Fellow (2021). Professional Roles: Associated Chair, Spatial Data Lab (Harvard University, since 2021) Vice Chair, ISDE Young Scientist Innovation Network (since 2023) Editorial Board Member, International Journal of Digital Earth Industry Experience: Prior roles include GIS analyst at Arizona Game and Fish Department (2011–2012) and GIS manager at eTour International (2012–2015).

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Markus Kattenbeckمشاهده پروفایل

پژوهشگر

University of California , Santa Barbara (UCSB)United States

Markus Kattenbeck is a Visiting Post-Doc Scholar at the University of California, Santa Barbara (UCSB), Department of Geography. He holds a Marie Skłodowska-Curie Global Fellowship (EU H2020) and leads the Spatial-HCI Lab under Prof. Ioannis Giannopoulos. His research focuses on behavioral correlates of spatial familiarity in pedestrian navigation, leveraging gaze-tracking and spatial cognition principles. Education: Ph.D. in Information Science from the University of Regensburg (2016), followed by roles as Master’s program coordinator there. Joined TU Wien’s Geoinformation group (2019) before moving to UCSB in 2022. Research interests span GIScience, cognitive geography, and human-computer interaction (HCI). Key themes include wayfinding processes, navigation assistance systems, and the integration of biometric data (e.g., eye-tracking) to improve spatial interface design. His work bridges theoretical spatial science with applied technologies like augmented reality. Awards: Marie Curie Global Fellowship (2021), supporting interdisciplinary research on spatial familiarity. Collaborations include Prof. Dan Montello (UCSB) and Prof. Giannopoulos (TU Wien). Publications emphasize empirical methods, experimental design in spatial navigation, and the ethical implications of locational data. His lab’s work on free-choice navigation and task-sensitive assistance systems has advanced understanding of pedestrian decision-making in real-world environments.

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Lei Songمشاهده پروفایل

استادیار

University of California , Santa Barbara (UCSB)United States

Dr. Lei Song is an Assistant Professor in the Department of Geography at Rutgers University–New Brunswick . Previously, she served as a Postdoctoral Research Scholar at the University of California, Santa Barbara in the SCALE Lab , contributing to projects like BioFI and DISES ECOPLAN . She holds an PhD and MA in Geography from Clark University , along with an MS in Applied Meteorology and BS in Geographic Information Science from Nanjing University of Information Science & Technology . Research Interests : Lei Song specializes in species conservation , human-wildlife interactions , and sustainable land use planning . Her methodological toolkit includes Remote Sensing (RS) , Geographic Information Science (GIScience) , and Machine Learning (ML) for land cover analysis. She focuses on terrestrial ecosystems , species distribution modeling , and landscape connectivity assessment , particularly in Tanzania with African savanna elephants . Key Contributions : Lei developed the itsdm R package for presence-only species distribution modeling using Isolation Forest algorithms. Her work bridges climate change and ecological impacts through data-driven strategies . Publications show expertise in AI applications for global drought forecasting , cropland mapping , and environmental outlier detection . Scientific Awards : Principal Investigator, NASA FINESST Program Grant #80NSSC20K1640 Collaborations : Dr. Song collaborates with researchers including Dr. Amy Frazier (UCSB), Dr. Andrew Estes (Clark University), and David Cortes (software development). Her work spans interdisciplinary projects at the intersection of ecology , climate science , and AI .

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Eun-Hye Enki Yooمشاهده پروفایل

استاد

State University of New York at BuffaloUnited States

Dr. Eun-Hye Enki Yoo is a Professor in the Department of Geography at the University at Buffalo, State University of New York. She specializes in GIScience, geostatistics, and environmental modeling, with research focusing on spatial patterns, uncertainty analysis, and public health-environmental interactions. PhD in Geography (University of California, Santa Barbara, 2006) Her groundbreaking research includes analyzing massive termite mound distributions in Brazil, revealing 4,000-year-old spatial patterns with ecological and geomorphological implications. She mentors students in advanced geographic methodologies, including spatial statistics and GIS applications. Dr. Yoo actively contributes to environmental health initiatives, including an EPA-funded air quality monitoring project addressing chronic disease disparities in Buffalo's East Side neighborhoods.

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Yan Linمشاهده پروفایل

دانشیار

Pennsylvania State UniversityUnited States

Dr. Yan Lin is an Associate Professor in the Department of Geography at Pennsylvania State University, affiliated with the College of Earth and Mineral Sciences and the Social Science Research Institute. Her expertise bridges GIScience, spatial analysis, and health geography, with a focus on environmental health disparities, cancer disparities, and geospatial modeling uncertainties. She holds a Ph.D. from Texas State University and a master’s in GIS from Central South University. Her research integrates geospatial modeling, spatial statistics, and community-based methodologies to explore relationships between human health, social dynamics, and environmental factors. Key areas include: GIScience applications in spatial modeling and uncertainty analysis Environmental health disparities among Native American communities Cancer prevention and control through geographical analysis Dr. Lin’s work has been funded by NIH (NIEHS, NIMHD, NIGMS, NCI), NSF, EPA, and others. She actively collaborates with indigenous communities to ensure research aligns with community needs. Awards include the 2022 Sobel Duncan SHIP Award and Women in STEM Faculty Development Award. Her recent publications span advanced materials science topics such as ceramic composites, high-entropy materials, and aerospace applications, reflecting interdisciplinary collaborations. She mentors students in MS and PhD programs focusing on spatial analysis, health disparities, and environmental health.

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Amy Burnickiمشاهده پروفایل

عضو هیئت علمی

Pennsylvania State UniversityUnited States

Amy Burnicki is an Associate Teaching Professor in the Department of Geography at Penn State University, College of Earth and Mineral Sciences. She is a key instructor in the Online Geospatial Education programs, teaching GEOG 580: Geovisual Analytics and GEOG 586: Geographic Information Analysis. Education: Ph.D. in Natural Resources & Environment, University of Michigan M.S. in Statistics, Penn State University Amy Burnicki's research focuses on the application of spatial data analysis, spatial statistics, and quantitative modeling in land change science, transportation, and environmental engineering. Her work emphasizes the integration of GIScience technologies to model landscape patterns and assess the impact of error and uncertainty in land change analyses. She has conducted recent research on pedestrian volume estimation and crossing compliance using land development intensity metrics, and on climate vulnerability of water infrastructure in Connecticut. Her research aligns with the Geospatial Big Data Analytics, Environmental Change and Prediction, and Spatial Modeling and Remote Sensing clusters at Penn State. Though specific publications are not listed, her work spans interdisciplinary domains including geospatial science, transportation planning, and environmental risk assessment. Scientific Awards: No awards listed in the provided text. Amy Burnicki actively contributes to applied geospatial research through collaboration with environmental engineering researchers and participation in transportation studies. She advises online geospatial education programs and supports graduate training through curriculum development. Her work includes securing applied research projects related to climate resilience and urban mobility, though specific grants are not detailed. She is affiliated with the John A. Dutton e-Education Institute and contributes to Penn State’s broader geospatial education mission. Her efforts support both academic instruction and real-world problem solving through geospatial analytics.

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Rob Lemmensمشاهده پروفایل

استادیار

University of TwenteNetherlands

Rob Lemmens is an Assistant Professor at the Department of Geo-information Processing and Digital Society Institute at ITC. His work focuses on geo-information science, ontology modeling, and educational technology. He has contributed to over 100 publications and actively organizes international conferences like AGILE. Key projects include the Geo Course Hub platform for modular education and the EO4GEO body of knowledge framework. He explores citizen science applications, spatial data infrastructure, and geospatial AI integration. Lemmens has co-edited conference proceedings and developed tools like the GEONETCast toolbox for geospatial education. Roles: GIS education innovator, ontology developer, conference organizer Key Projects: Geo Course Hub, EO4GEO, Human Sensor Web Research Themes: Linked Data applications, FAIR principles in education, geospatial workflow design His recent work emphasizes bridging geospatial technologies with societal challenges like sustainable development goals and participatory mapping. Lemmens collaborates globally on projects involving Africa's water security and rangeland management.

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Nicholas Tateمشاهده پروفایل

دانشیار

University of LeicesterUnited Kingdom

Nicholas Tate is an Associate Professor at the University of Leicester's School of Geography, Geology and the Environment. His work bridges Geographic Information Science (GIS), remote sensing, and spatial analysis with a focus on education innovation and environmental applications. He has contributed significantly to GIS education through textbooks like Teaching Geographic Information Science and Technology in Higher Education (2011) and Modelling Scale in Geographical Information Science (2001). His research explores urban form modeling via AI, spatial interpolation techniques, and geodemographic classification. Notable projects include radar interferometry for land displacement in the Swiss Alps, SAR-based forest mapping in the Congo Basin, and VGI analysis using fuzzy clustering. He has led international collaborations on GIS pedagogy during the pandemic, emphasizing resilient teaching strategies. Publications span Journal of Geography in Higher Education , Remote Sensing of Environment , and Climate . His work frequently addresses methodological rigor in spatial data analysis and interdisciplinary applications in ecology, hydrology, and urban policy. Recent trends focus on AI-driven geospatial modeling and crisis-responsive education frameworks. While no specific grants or awards are listed, his prolific publication record underscores sustained academic engagement. Collaborations with institutions globally highlight his role in advancing both theoretical GIScience and practical environmental monitoring.

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Carsten Keßlerمشاهده پروفایل

استاد

Aalborg UniversityDenmark

Carsten Keßler is a Professor at the Department of Sustainability and Planning within The Technical Faculty of IT and Design at Aalborg University. He holds adjunct professorships at Bochum University of Applied Sciences (since 2021) and the Ph.D. Program in Earth and Environmental Sciences at the City University of New York (2017–2021). His research focuses on geoinformatics, population dynamics, migration patterns, and spatial data infrastructure. Education: Not explicitly listed in provided texts, but his academic rank implies doctoral qualification. Key research areas include: - Geographic Information Systems (GIS) for urban and environmental analysis. - Migration studies , including historical migration patterns and future migration scenarios for Europe. - Spatial data infrastructure development and open educational resources for GIScience. - Machine learning applications in population modeling and environmental projections. He leads/co-leads projects such as FUME: Future Migration Scenarios for Europe (2019–2023) and EO4SDG: Earth Observation and Deep Learning for Sustainable Development . His work has produced over 75 publications, with recent focus on climate resilience, urban heatwaves, and geoprivacy. Notable awards include a prize for High-resolution spatialized population projections (2017). He actively contributes to academic peer review, conferences, and educational initiatives in geoinformatics.

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Rachel Isaacsمشاهده پروفایل

استادیار

University of ColoradoUnited States

Rachel Isaacs is an Assistant Teaching Professor in the Department of Geography at the University of Colorado Boulder, serving as Liaison with Continuing Education. She has taught physical geography, biogeography, climate change, GIS, and remote sensing courses continuously from Fall 2020 through Spring 2025. Her academic credentials include: PhD in Geography from The Pennsylvania State University (2016) M.S. in Geography from Texas A&M University (2007) Bachelor's degree in Geography from the University of Hawai'i at Hilo Research focuses on climate change impacts on treeline ecosystems (notably in Denali National Park), landscape ecology, and spatial analysis using GIScience and remote sensing. Fieldwork spans Scotland, Nicaragua, Alaska, Arkansas, Hawai'i, Washington, and California. Her methodological expertise includes spatial statistics and environmental modeling. With 16 years of multidisciplinary experience, she has contributed to: Editorial work for the American Association of Geographers Metadata development at NOAA National Geographic video production Environmental compliance (GIS/drafting/surveying) for oil/gas industry via EMS and AK Environmental Instructional roles at Pennsylvania State University, Bucknell University, and Saint Paul College Teaching portfolio includes: GEOG 1001: Our Changing Planet / Environmental Systems GEOG 2421: Visualizing Climate Change GEOG 3351: Biogeography (recurring) GEOG/GEOL 4093/5093: Remote Sensing (recurring) GEOG 4203/5203: GIS Spatial Modeling GEOG 4371/5371: Forest Geography GEOG 4001/5100: Climate Change Causes

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Morteza Karimzadehمشاهده پروفایل

استادیار

University of ColoradoUnited States

Morteza Karimzadeh is an Assistant Professor of Geography at the University of Colorado Boulder, with courtesy appointments in Computer Science and Information Science. He directs the Geospatial Human-Centered Artificial Intelligence Lab (GeoHAI) and serves as Faculty Fellow at the Institute of Behavioral Science and CU Population Center. His research interests span geospatial data science, machine learning, human-centered visual analytics, and remote sensing applications in public health and environmental science. Key domains include sea ice mapping, chronic disease epidemiology, renewable energy systems, and digital humanities. Publication trends reveal 15 recent works (2023-2025) focused on: Sea ice segmentation & cryospheric monitoring PM2.5 pollution and respiratory health Spatiotemporal disease forecasting Geovisualization tools for dengue and zika Human mobility analysis via wearable devices Energy grid data visualization He actively supervises graduate students including Sepideh Jalayer and Zhongying Wang, and has received research funding from National Science Foundation , NASA , NREL , NIH , and Population Council .

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Robert Weibelمشاهده پروفایل

استاد

University of ZurichSwitzerland

Robert Weibel is a Professor in the Department of Geography at the University of Zurich, where he conducts cutting-edge research in Geographic Information Science (GIScience), cartographic generalization, movement analysis, and human mobility. His work bridges computer science, geography, and health sciences, with strong applications in aging, environmental monitoring, and urban planning. Research Interests: His primary research areas include: Computational movement analysis and trajectory modeling Cartographic and map generalization using AI and deep learning Indoor and outdoor navigation systems Spatial cognition and human mobility GIScience and geospatial data science Linguistic geography and dialect modeling Publication Trends: His recent publications (2023–2025) reflect a strong focus on AI-driven map generalization (e.g., SpaGAN, GNNs), explainable AI in cartography, indoor navigation modeling, and interdisciplinary studies on human mobility in aging and post-stroke recovery. He frequently publishes in top journals such as the International Journal of Geographical Information Science , ISPRS Journal , and Computers, Environment and Urban Systems . Scientific Contributions: Robert Weibel is a leading figure in GIScience, particularly in map generalization and movement data science. He has contributed to major research initiatives including the MOBITEC-Stroke project and has co-organized key conferences like GIScience. His work on real-time generalization, semantic modeling, and deep learning for cartography has advanced the field significantly. Advising and Collaboration: He has supervised numerous students and collaborators across disciplines, including in gerontology, computer science, and ecology. His research often involves interdisciplinary teams and international partnerships. Labs and Teams: He is affiliated with the GIScience research group at the University of Zurich, contributing to projects involving mobile mapping, real-time data processing, and spatial analytics. His work is integral to the development of intelligent geospatial systems and e-learning in GIS (e.g., the GITTA project).

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Amy Lobbenمشاهده پروفایل

استاد

University of OregonUnited States

Amy Lobben is a Professor in the Department of Geography at the University of Oregon's College of Arts and Sciences. Her research focuses on Geographic Information Science, Human-Environmental Interaction, Spatial Decision Making, and Neurogeography. Education: B.A. (1991), M.A. (1996) from Georgia State University; Ph.D. (1999) from Michigan State University Research: Investigates human-environmental decision making and behavior using controlled research designs, mixed-methods, and computational modeling grounded in spatial information theory and cognition Teaching: Offers courses in geospatial concepts, spatial data visualization, GIS, map perception, and GIScience advancements She leads the Spatial Cognition Research Group and maintains the lab website at S3C Lab .

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Hongyu Zhangمشاهده پروفایل

مدرس

University of Massachusetts AmherstUnited States

Geographic Information Science (GIScience)
GeoAI
Geoprivacy
+۷ مورد دیگر

Hongyu Zhang is a Lecturer in the Department of Earth, Geographic, and Climate Sciences at the University of Massachusetts Amherst, where he contributes to the Geographic Information Science and Technology (GIST) program. He is based at the Mount Ida Campus and is actively engaged in research and teaching at the intersection of geography, technology, and ethics. Education: PhD in Geography, McGill University, 2024 MSc in Geography, Western University, 2017 Bachelor of Environmental Studies (BES) in Geomatics, University of Waterloo, 2015 (with minor in Computer Science and Diploma of Excellence in GIS) Hongyu's research focuses on geoprivacy , GeoAI , and the ethical dimensions of spatial data . He investigates how individuals disclose location information on social media, particularly in Chinese digital environments like Weibo, using mixed methods to understand the sociotechnical dynamics of privacy. His work aims to promote responsible spatial data science by bridging GIScience with human behavior and digital ethics. His recent publications and open-source contributions reflect a strong trend in social media analysis , geoprivacy discourse , and computational ethics . He develops tools and datasets to analyze privacy-related language and behavior online, with a focus on Chinese platforms. His work also extends to GIS education , where he emphasizes project-based learning to improve student employability in geospatial fields. Scientific Contributions: Development of lexicons for analyzing geoprivacy in Chinese social media Creation of datasets on microblog content and user comments Open educational resources in data science and GIS Research on algorithmic price discrimination and digital surveillance Hongyu is committed to open science and student mentorship. While no formal list of advisees is available, his teaching and project-based approach suggest active engagement with students. He has no listed scientific awards, but his research output and GitHub activity indicate a growing scholarly presence in geospatial ethics and digital society. He maintains an active research website and GitHub profile, where he shares code, datasets, and educational materials, reflecting a transparent and collaborative research philosophy.

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