جست‌وجوی استاد و پژوهشگر

Cynthia Brewerمشاهده پروفایل

استاد

• cartographic communication
• visualization
• map design
• +۷ مورد دیگر

Cynthia Brewer is a Professor of Geography and Information Sciences and Technology at Pennsylvania State University. She currently serves as the Associate Dean for Faculty Affairs in the College of Information Sciences and Technology (IST), a position she began in August 2024. Previously, she was a faculty member in the College of Earth and Mineral Sciences (EMS) where she served as head of the Department of Geography from 2014 to 2021. Dr. Brewer's research focuses on cartographic communication and visualization, map design, color theory, multi-scale mapping, atlas production, and topographic maps. She is especially well known for her ColorBrewer online tool for selecting map color schemes and her work on ScaleMaster for organizing multiscale mapping. Her research falls primarily within the Geospatial Big Data Analytics and Spatial Modeling and Remote Sensing research clusters at Penn State. Her publications include more than 30 peer-reviewed articles and 60 additional publications and cartographic design resources, generating over 7,000 citations. She has authored four books, including the popular 'Designing Better Maps' with the 3rd edition published by Esri Press in 2024. Carl Mannerfelt Gold Medal from the International Cartographic Association (ICA) in 2023 O. M. Miller Cartographic Medal from the American Geographical Society (AGS) in 2019 Henry Gannett Award for Exceptional Contributions to Topographic Mapping from the U.S. Geological Survey (USGS) in 2013 EMS Wilson Award for Outstanding Service in 2014 As an administrator, Dr. Brewer has extensive experience in departmental leadership, having served as head of the Department of Geography for seven years. She has also served on numerous university committees, was elected to the University Faculty Senate, and served as an Administrative Fellow shadowing the Provost. She is not currently taking on graduate advisees due to her full-time administrative role in IST.

• Data Science
• Statistics
• Machine Learning
• +۷ مورد دیگر

David S. Matteson is a Professor and Associate Department Chair in the Department of Statistics and Data Science at Cornell University. He holds affiliations with the Bowers College of Computing and Information Science, the ILR School, the Center for Applied Mathematics, and the Program in Financial Engineering. His research focuses on developing statistical and machine learning methodologies for complex systems, with applications in finance, environmental science, healthcare, and nanotechnology. He received his PhD in Statistics from the University of Chicago and a BSB in Finance, Mathematics, and Statistics from the University of Minnesota. His awards include the NSF CAREER Award (2015), SUNY Chancellor’s Award (2022), and Fellowships from the Institute of Mathematical Statistics and American Statistical Association (2024). Research interests span theoretical methods like changepoint analysis, high-dimensional time series, and functional data, alongside applied domains such as systemic risk, climate change, and medical imaging. He leads major NSF-funded initiatives including the PRISM Institute for Trans-domain Systemic Risk and the TRIPODS Greater Data Science Cooperative Institute (GDSC). Editorial Roles: Founding Editor-in-Chief of Data Science in Science , Associate Editor for Journal of Econometrics , and former editor for multiple statistical journals. Leadership: Chair of the ASA’s Business and Economic Statistics Section (2024), Director of the National Institute of Statistical Sciences (NISS). Grants: PI/Co-PI on NSF and USAID projects addressing systemic risk, energy systems, and poverty estimation.

• Hydrography
• Geodesy
• Navigation Systems
• +۷ مورد دیگر

Prof. Harald Sternberg is a distinguished academic at HafenCity University Hamburg, holding the position of University Professor for Hydrography and Geodesy. His affiliations include the Department of Geodesy and Geoinformatics, where he leads research in hydrographic education and advanced geomatics technologies. He previously served as Vice President for Teaching and Studies (2009-2022) and Acting President (2010) of HCU. Education: Ph.D. in Geodesy from University of the Bundeswehr Munich (1999), specializing in trajectory determination of land vehicles using hybrid systems. Early career included roles as scientist at Bundeswehr University (1991-2001) and academic leadership at HAW Hamburg (2005-2009). Research focuses on underwater mapping, navigation systems, and sensor integration. Key projects include: Level 5 Indoor Navigation (5G-based positioning), hydrothermal vent exploration using deep-towed multibeam systems, and low-cost mobile mapping solutions. He also investigates smartphone-based inertial navigation and autonomous underwater vehicles for infrastructure monitoring. Publications span underwater vision systems, satellite-derived bathymetry, and 3D point cloud analysis. Over 200 peer-reviewed articles and book chapters reflect expertise in geomatics applications. Current research emphasizes 5G-enabled indoor navigation and environmental sensor networks. Grants include BMWK-funded autonomous deep-sea monitoring and BGR exploration projects in the Indian Ocean. His lab develops innovative tools like the HOMESIDE sled for seafloor surveys. Supervises Ph.D. research on hydrothermal vent analysis and data-driven inertial localization.

Helen Suhمشاهده پروفایل

استاد

• Environmental Health
• Environmental Epidemiology
• Air Pollution
• +۲ مورد دیگر

Helen Suh is a Professor at Tufts University, jointly appointed in the departments of Civil and Environmental Engineering and Community Health . As an internationally-recognized expert in air pollution health effects, she combines environmental epidemiology , exposure science , and data analytics to investigate how pollutants impact human health. Sc.D. , Harvard University (1993) M.S. , Harvard University (1990) S.B. , Massachusetts Institute of Technology (1985) Her research focuses on three areas: air pollutant impacts on cognitive performance and child development , multi-pollutant health effects , and GIS-based spatio-temporal modeling for epidemiological studies. Recent publications highlight her work on PM2.5 measurement error correction , hormonal disruptions in pregnancy , and machine learning applications in environmental health analysis. Current trends include: Advanced statistical methods for exposure assessment Multi-omics approaches to cardiometabolic health International comparative studies (e.g., Tehran, Puerto Rico) Long-term mortality analysis in Medicare populations Pollution-immune system interactions in vulnerable groups Policy-relevant modeling for air quality standards Helen Suh has served as an Associate Editor for the Journal of Exposure Science and Environmental Epidemiology and advised major U.S. and international health organizations. Her work spans over 150 publications and integrates multidisciplinary team leadership in environmental health science. Her laboratory develops large-scale data analytics tools and spatio-temporal exposure models to support population-level health research. Current projects include air pollution and aging cohorts , urban environmental noise measurement , and epigenetic responses to pollutants .

Ihab Hijaziمشاهده پروفایل

پژوهشگر

• Geoinformatics
• 3D Geospatial Modeling
• BIM-GIS Integration
• +۴ مورد دیگر

Dr. Ihab Hijazi is a researcher at the Chair of Geoinformatics , Technical University of Munich, specializing in 3D geospatial modeling and BIM-GIS integration . He teaches courses such as CAFM - Facility Management and GIS and contributes to advancing CityGML standards and urban digital twins . Research Focus : Hijazi’s work bridges Building Information Modeling (BIM) and Geographic Information Systems (GIS) , emphasizing interoperability , semantic transformation , and smart city infrastructures . His projects include the Smart Sustainable Districts (SSD) and Smart District Data Infrastructure , focusing on urban energy systems and data harmonization. Publications highlight his contributions to CityGML utility networks , urban growth simulations , and semantic modeling frameworks. He actively develops 3DCityDB and participates in standardization initiatives like the DIN Spec 91607 Digital Twin for Cities .

• Geomatic Engineering
• Remote Sensing
• GIS Programming and Visualization
• +۶ مورد دیگر

Dr. Zhenyu Zhang is a Lecturer in Surveying and Spatial Science at the School of Surveying and Built Environment , University of Southern Queensland (Springfield Campus). With over 20 years of tertiary teaching experience, he specializes in geomatic engineering, GIS programming, remote sensing, and machine learning applications for geospatial data analysis. His work focuses on LiDAR technologies (terrestrial and airborne) for environmental management, 3D modeling, and high-resolution DEM generation. Member of Surveying and Spatial Science Institute (SSSI), Australia Member of Modelling and Simulation Society of Australia and New Zealand Member of International Global Navigation Satellite Systems (IGNSS) His research integrates geomatics with environmental geoscience, emphasizing forest biomass estimation, carbon accounting, and BIM development using laser scanning. He teaches foundational and advanced courses in surveying, geodetics, GIS programming, and research projects at both undergraduate and postgraduate levels.

Carl Müller-Creponمشاهده پروفایل

استادیار

• State Building
• Political Ethnicity
• Conflict Analysis
• +۵ مورد دیگر

Carl Müller-Crepon is an Assistant Professor at the Department of Government, London School of Economics and Political Science (LSE) . His research focuses on state-building, political ethnicity, conflict, and geographic analysis, particularly in Africa and Europe. He previously held roles at the University of Oxford and ETH Zurich, and has affiliations with Harvard University. His work combines computational methods with geospatial data to study historical and modern dynamics of ethnicity, state capacity, and political violence. Education: PhD in Political Science, ETH Zurich (2019) MA in Political Science, ETH Zurich (2015) BA in International Affairs and Economics, University of St. Gallen (2013) Research Interests: His work explores how administrative borders shape ethnic identities, the impact of colonial policies on development, and the role of nationalism in territorial disputes. He innovates in geospatial data analysis and machine learning, publishing in top journals like the American Political Science Review and International Organization . Key Contributions: Developed the SIDE dataset for fine-grained ethnic demography analysis. Studied the reciprocal relationship between ethnic geographies and political borders since the 19th century. Explored state capacity in Africa using travel time metrics and road networks. Grants & Labs: Leading projects on colonial administrative design and ethnic persistence. Collaborations with institutions like ETH Zurich’s International Conflict Research Group.

• Ungulate Ecology
• Wildlife Biology
• Habitat Selection
• +۵ مورد دیگر

Mark Hebblewhite is a Professor in Ungulate Ecology at the Wildlife Biology Program, University of Montana. His research integrates ecological theory with applied wildlife management, focusing on species like elk, wolves, and grizzly bears. Institution: University of Montana Academic Rank: Professor Research Interests span: Wildlife-habitat interactions Predator-prey dynamics Conservation of endangered species Remote sensing for forest and wildlife monitoring Climate change impacts on ecosystems Recent Publications emphasize: Multi-scale movement ecology Remote sensing integration for forest inventory Anthropogenic effects on wildlife behavior Fire ecology and post-disturbance recovery LiDAR and satellite-based vegetation mapping Collaborations include researchers from the University of Alberta, University of British Columbia, Colorado State University, and the Wildlife Conservation Society.

Ningchuan Xiaoمشاهده پروفایل

استاد

• Machine Learning and Spatial Data
• Census Data
• Spatial Optimization
• +۳ مورد دیگر

Ningchuan Xiao is a Professor of Geography at The Ohio State University's Department of Geography. His work bridges Geographic Information Science (GIScience) with computational methods, emphasizing spatial optimization, cartography, and machine learning integration. Education: Ph.D. in Geography from The University of Iowa (2003). Courses taught include GIS fundamentals, cartography, and Python-based spatial analysis. Research Interests: Spatial Optimization: Developing algorithms for land acquisition, redistricting, and resource allocation. Machine Learning & Cartography: Exploring AI-driven map interpretation and ethical visualization of complex data. Census Data: Innovating privacy-preserving techniques while maintaining data utility, including temporal/spatial modeling. Open Source Tools: Authored GIS Algorithms (2016) and maintains GitHub repository 'gisalgs' for accessible code. Publications: Recent work (2023-2025) highlights advancements in synthetic microdata generation, privacy-utility tradeoffs in census aggregation, and AI-driven cartographic recognition. His 2022 studies include traffic camera analytics and choropleth map QA systems. Awards: Not explicitly listed in the provided texts. Advising & Grants: Collaborated with researchers like Y. Lin, J. Li, and S. Bao. Projects include the Sustainable Columbus Observatory (SCO) for urban sustainability metrics. Research is supported through academic partnerships and computational initiatives.

Peter Newmanمشاهده پروفایل

استاد

• Visitor management in protected areas
• Soundscape/acoustic management in parks
• Transportation management and planning
• +۷ مورد دیگر

Peter Newman, Ph.D., serves as Dean of the Rubenstein School of Environment and Natural Resources at the University of Vermont since July 1, 2024, and holds the Suzie and Allen Martin Professor title. With a career spanning decades, he has conducted extensive research on visitor management in protected areas, soundscape management, and transportation planning, partnering with the National Park Service's Natural Sounds and Night Sky Division since 2012. Education Ph.D. in Natural Resources, University of Vermont M.S. in Forest Resource Management, SUNY College of Environmental Science and Forestry B.A. in Political Science, University of Rochester His research focuses on social carrying capacity decision-making in protected area management, with fieldwork across major U.S. parks including Denali, Grand Canyon, and Great Smokies. He has developed frameworks for acoustic management and Leave No Trace efficacy, contributing to sustainable outdoor recreation practices. Scientific Awards: Cooperative Ecosystem Studies Unit National Award (2012) George Wright Society National Award for Achievement in Social Sciences (2013) Throughout his career, Newman has led high-quality teaching at Penn State's Graduate Degree Program in Acoustics and mentored numerous students through research projects on wildlife approach norms, pandemic recreation shifts, and waste management strategies in national parks. He previously served as a Park Ranger in Yosemite and Backcountry Patrol member in Idaho.

Brian Tomaszewskiمشاهده پروفایل

استاد

• Geographic Information Science and Technology
• Geovisual Analytics
• Spatial Thinking
• +۴ مورد دیگر

Brian Tomaszewski is a Professor at the Rochester Institute of Technology (RIT) within the School of Interactive Games and Media , Golisano College of Computing and Information Sciences. He also holds an Adjunct Professor position at the Centre for Disaster Management and Mitigation, Vellore Institute of Technology, India. Education : BA (University at Albany), MA (University at Buffalo), PhD (Pennsylvania State University) Research Interests focus on Geographic Information Science applications for Disaster Management , Forced Displacement , and Geovisual Analytics . His work bridges Spatial Thinking with Serious Games for crisis response and mitigation. Recent Publications (2023-2014) emphasize LLM-driven refugee camp analysis , geospatial resilience modeling , and serious games for disaster education , with fieldwork spanning Rwanda, Jordan, and Poland. Scientific Awards : Fulbright Scholar (2018) Grants & Collaborations include US National Science Foundation (NSF) funding for international projects and partnerships with UNHCR and IEEE . He leads the RefuGIS project and the Center for Geographic Information Science and Technology at RIT.

• Information Systems Methodologies
• Artificial Intelligence
• Agent Systems
• +۸ مورد دیگر

Prof Ghassan Beydoun is a Professor and Head of Discipline (Information Systems) at the School of Computer Science, University of Technology Sydney (UTS). He leads the Information Systems discipline and is affiliated with the Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS). His research focuses on AI-driven systems, agent-based modelling, ontologies, and disaster management, with notable contributions to knowledge graphs, enterprise architecture, and IoT applications. Beydoun actively supervises Masters and PhD students in these domains. His research interests span metamodelling, agent systems, and AI applications in disaster management (e.g., flood, landslide, and earthquake risk assessment), health systems, and smart infrastructure. He has pioneered frameworks for reproducible machine learning solutions, digital identity systems, and cloud migration strategies. Beydoun’s work integrates interdisciplinary methods, such as bibliometric analysis for journal evolution and XAI for spatial hazard prediction. Recent publications highlight his expertise in AI for climate-induced hazard modelling, agent-based knowledge transfer mechanisms, and metaverse applications in education. His funded projects include AI-powered circular economy initiatives, smart beach safety systems, and health data querying frameworks. Beydoun collaborates with industry partners like CSIRO, Capsicum Business Architects, and Data Zoo, translating research into practical solutions for enterprise architecture, cybersecurity, and public health.

Heather Preisendanzمشاهده پروفایل

استاد

• Emerging Contaminants
• Water Quality
• PFAS Contamination
• +۳ مورد دیگر

Heather Preisendanz is a Professor in the Department of Agricultural & Biological Engineering at Pennsylvania State University. Her research focuses on the fate, transport, and impacts of emerging contaminants, particularly PFAS, in agricultural and environmental systems. She leads interdisciplinary projects addressing water quality, contaminant mitigation, and sustainable land management. Recent work includes studies on PFAS contamination in private wells and agricultural fields, the efficacy of vegetative buffers, and low-cost water treatment solutions using biochar. She has been recognized as an Institute of Energy and the Environment (IEE) Fellow and contributed to projects like 'Developing Water Treatment Technologies for PFAS Removal in Disadvantaged Communities.' Her research integrates hydrology, biogeochemistry, and socio-technical systems to address environmental challenges. Collaborations include the USDA, Monash University, and the Chesapeake Bay watershed initiatives. She emphasizes translational science, bridging academic research with practical solutions for water sustainability. Affiliations: College of Agricultural Sciences, IEE Fellow, Agricultural & Biological Engineering Department Grants: USDA grants, IEE seed grants, and interdisciplinary funding for PFAS and water quality projects Key Projects: PFAS removal technologies, agroecosystem contaminant mitigation, and policy-relevant environmental assessments

Israel Orimoloyeمشاهده پروفایل

مدرس

• Remote Sensing
• GIS Applications
• Drought Disaster Management
• +۳ مورد دیگر

Dr. Israel Orimoloye is a Lecturer in the School of Environment, Geography, and Sustainability at Western Michigan University. He holds dual Ph.D. degrees in Disaster Management (University of the Free State, 2022) and Geography (University of Fort Hare, 2018). His research focuses on remote sensing, GIS applications, climate science, and disaster risk management. He has authored over 65 publications and contributed to global policy frameworks through collaborations with institutions in South Africa, Canada, India, and beyond. Education: Ph.D., Disaster Management, University of the Free State (2022) Ph.D., Geography, University of Fort Hare (2018) MTech., Meteorology, Federal University of Technology (2015) BTech., Meteorology, Federal University of Technology (2010) Research Interests: His work integrates Earth Observation (EO) data and climate models to address drought, land degradation, and environmental hazards. Key areas include: Remote sensing for disaster monitoring GIS-driven climate impact assessment Sustainable resource management Community resilience strategies Publications: His 15 most recent articles (2020–2025) emphasize drought assessment, climate adaptation, and participatory risk management. Topics span geospatial modeling, flood dynamics, and policy integration. Grants & Advising: He leads projects funded by the Central Research Fund and collaborates internationally. No listed advisees are currently available. Labs & Teams: Affiliated with WMU's environmental research initiatives, focusing on spatial data science and disaster mitigation.

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.