GIScience Applications Professors and Supervisors

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 .

پروفایل رسمی دانشگاه

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.

پروفایل رسمی دانشگاه

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.

پروفایل رسمی دانشگاه

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.

پروفایل رسمی دانشگاه

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.

پروفایل رسمی دانشگاه

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.

پروفایل رسمی دانشگاه

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.

پروفایل رسمی دانشگاه

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 .

پروفایل رسمی دانشگاه

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).

پروفایل رسمی دانشگاه

Felix Haifeng Liaoمشاهده پروفایل

دانشیار

University of IdahoUnited States

Felix Haifeng Liao is an Associate Professor in the Department of Earth and Spatial Sciences at the University of Idaho , a flagship R1 research institution. He also holds affiliate/participating faculty roles at the Institute for Modeling Collaboration and Innovation , National Institute for Advanced Transportation Technology , and Center for Resilient Communities . Education : PhD in Geography (University of Utah, 2014), MPhil in Geography (University of Hong Kong, 2008), BS in Economic Geography and Planning (Sun Yat-sen University, 2002). Liao specializes in GIScience , spatial analysis and modeling , and their applications in urban and transportation planning , sustainable agriculture/food systems , land use , water sustainability , and geohealth . His methodological approach often incorporates multi-scale analysis , spatiotemporal modeling , and place-based frameworks . Recent research demonstrates interdisciplinary trends across environmental science , urban ecology , and public health , with a focus on climate change mitigation , transportation safety , and food system resilience . Articles highlight spatiotemporal heterogeneity in wetland conservation, socioeconomic drivers of urban forests, and pandemic impacts on mobility patterns. Labs/Teams : Collaborates with the University of Idaho's research institutes to address regional challenges in the Pacific Northwest, including water scarcity and urban heat distribution.

پروفایل رسمی دانشگاه

Klaus Steinمشاهده پروفایل

مدرس پاره‌وقت

Otto Friedrich University of BambergGermany

Klaus Stein is a part-time lecturer at the Chair of Heritage Conservation , Otto-Friedrich University of Bamberg. His work bridges digital technologies , spatial modeling , and cultural heritage through interdisciplinary research projects. Co-leader of the UrbanMetaMapping project (BMBF-funded) analyzing WWII war damage maps Developed KTF (Wiki-based terminology framework) for SMEs Contributed to COM (Communication-Oriented Modeling) DFG research network Active in EMN-MOVES project for age-friendly mobility solutions His research focuses on digital heritage , social network analysis , and collaborative GIS , with over 20 years of publications in spatial cognition and information systems . While his primary role involves teaching in the Master's program in Digital Heritage Technologies , he also contributes to open-source GIS and web mining methodologies. Key projects include: Find Diversity (BioDiv2Go): Promoting biodiversity awareness via location-based games Virtual Spaces : Digital reconstruction of historical church color schemes

پروفایل رسمی دانشگاه

Farzaneh Dadrass Javanمشاهده پروفایل

استادیار

University of TwenteNetherlands

Dr. Farzaneh Dadrass Javan is an Assistant Professor at the Department of Earth Observation Science, Faculty of Geo-Information and Earth Observation (ITC), University of Twente, Netherlands. Her academic journey began at the University of Tehran, Iran, where she earned her PhD and MSc in Photogrammetry and Remote Sensing. She contributes to interdisciplinary research bridging UAV technology, Artificial Intelligence, and data fusion for environmental and societal challenges, particularly in the Global South. Research Interests: Her work focuses on multi-scale geospatial data integration, leveraging drones to bridge ground and satellite observations. Key areas include Environmental monitoring through UAV-aided remote sensing Explainable AI for ecological and agricultural applications 3D modeling of urban and heritage sites Climate resilience and drought analysis in Iran Deep learning for infrastructure and vegetation health assessment Scientific Contributions: With over 59 research outputs, she specializes in UAV photogrammetry, multi-sensor fusion, and AI-driven environmental solutions. Her projects address water and health security in marginalized communities, precision agriculture, and smart cities. She has received recognition for journal-featured papers, APC waivers, and invitations to speak at global conferences. Awards and Leadership: Guest Editor for Remote Sensing Journal and Drones Journal panel member Associate Editor for GIScience Journal Scientific Committee roles in ISPRS, IEEE, and SEFI conferences External examiner/supervisor for universities in South Africa, USA, Belgium, and Netherlands Education: She holds a PhD and MSc from the University of Tehran, supervised by Prof. Farhad Samadzadegan.

پروفایل رسمی دانشگاه

Brian Beckerمشاهده پروفایل

استاد

Central Michigan UniversityUnited States

Applied Remote Sensing
Spectral Signature Processing and Analysis
Environmental Science
+۱ مورد دیگر

Brian Becker is a Professor in the Department of Geography and Environmental Studies and affiliated with the Institute for Great Lakes Research. His expertise bridges remote sensing technology and environmental science, with specialized focus on wetland ecology and aquatic system monitoring through advanced spectral analysis techniques. His academic foundation includes: Ph.D. from Michigan State University (2002) M.S. from University of Illinois (1993) B.S. from Eastern Illinois University (1989) Professor Becker's research program centers on developing and applying remote sensing methodologies for environmental assessment. He pioneers techniques for water quality parameter estimation (particularly CDOM and chlorophyll-a) in optically complex inland waters, utilizes hyperspectral data for wetland characterization, and creates algorithms for invasive species mapping. His work integrates field spectroscopy with satellite imagery to address challenges in freshwater ecosystems, with emphasis on spatio-temporal dynamics and algorithm validation for practical environmental management applications. Analysis of his 14 publications (2005-2018) reveals consistent innovation in remote sensing of aquatic environments. Key contributions include developing semi-analytical models for CDOM in shallow waters, optimizing spectral band selection for wetland monitoring, and creating spatial analysis techniques for large raster datasets. His research demonstrates strong methodological rigor while addressing real-world environmental challenges across the Great Lakes region and international sites like China's West Lake. As an educator, Professor Becker teaches Geographic Information Sciences, Remote Sensing, Image Processing, Environmental Science, and CAD Mapping for GIS. His affiliation with the Institute for Great Lakes Research provides students access to interdisciplinary freshwater research opportunities. While specific current grant details aren't provided, his extensive publication record in high-impact journals indicates sustained research activity with potential for student involvement in field campaigns, algorithm development, and environmental monitoring projects.

پروفایل رسمی دانشگاه