جست‌وجوی استاد و پژوهشگر

Frank Cantersمشاهده پروفایل

استاد

• Urban Remote Sensing
• GIS Applications
• Urban Form Dynamics
• +۳ مورد دیگر

Frank Canters is a Professor of cartography, GIS, and remote sensing at the Department of Geography of Vrije Universiteit Brussel (VUB), leading the Cartography and GIS Research Group. His research focuses on urban remote sensing, spatial modeling of urban environments, and urban ecosystem services. He is renowned for pioneering the Canters projection, a minimum-error world map projection, and has contributed extensively to urban land-use mapping and decision-support systems for urban planning. His work spans over three decades, with 281+ publications and collaborations across multiple disciplines. Key areas include urban form dynamics, remote sensing applications for vegetation and land-use analysis, and spatial justice in green infrastructure distribution. He has supervised 83 students and developed tools like the Q-LavHA plugin for volcanic hazard modeling. Recent research highlights include integrating public perceptions into green space accessibility models, assessing allergenic potentials of urban greenery via LiDAR, and advancing machine learning approaches for urban vegetation mapping. His contributions bridge geospatial technologies with urban sustainability and policy.

Matthew Faganمشاهده پروفایل

دانشیار

• Landscape Ecology
• Remote Sensing
• Conservation Biology
• +۶ مورد دیگر

Matthew Fagan is an Associate Professor in the Department of Geography & Environmental Systems at the University of Maryland, Baltimore County (UMBC), holding a Ph.D. from Columbia University (2014). His research integrates remote sensing, landscape ecology, and conservation biology to study forest dynamics across tropical and temperate ecosystems. His primary research interests focus on: Landscape-scale habitat degradation and restoration Remote sensing applications for forest monitoring Policy effectiveness in tropical conservation corridors Socio-ecological drivers of agricultural expansion Connectivity and reforestation processes Recent publication trends reveal increasing emphasis on machine learning integration with high-resolution satellite imagery for tropical forest monitoring, particularly in assessing degradation patterns, carbon sequestration potential, and the distinction between natural regeneration versus plantation forestry. His work increasingly addresses the intersection of climate change mitigation, biodiversity conservation, and poverty reduction through land use studies in Africa and Latin America. Dr. Fagan leads the "Earth from Above" research laboratory, which conducts field and remote sensing work in Costa Rica, Maryland, and the Caribbean, with specific projects examining timber plantation impacts, riparian forest connectivity using LiDAR, and conservation of endangered species like the Bahama Oriole.

Michael Changمشاهده پروفایل

مدرس ارشد

• Remote Sensing
• Geographic Information Systems (GIS)
• Vegetation Monitoring
• +۶ مورد دیگر

Dr. Michael Chang is a Senior Lecturer and Program Director of Spatial Information Sciences at Macquarie University's School of Natural Sciences. He specializes in remote sensing and GIS applications for environmental monitoring, including vegetation dynamics, land use change, and disaster mitigation. His affiliations include the Data Horizons, Smart Green Cities, and Lifespan Health and Wellbeing Research Centres. Research Interests: Earth observation data integration 3D modeling and change detection Biodiversity conservation and wetland monitoring Spatial analysis of multilingualism and transport planning Awards: 2017 BHERT Award for Outstanding Collaboration 2019 Faculty Teaching Excellence Award 2017 Research Excellence Recognition Projects: Leads multi-sensor fusion initiatives for vegetation monitoring and collaborates on disaster resilience frameworks. Active in interdisciplinary work spanning ecology, geophysics, and urban planning. Labs/Teams: Core member of Macquarie's Planetary Research Centre and collaborates internationally on port city resilience projects in Africa.

Kshirasagar Naikمشاهده پروفایل

استاد

• Mobile and Ad Hoc Networks
• Low Power Software
• Optical Networks
• +۱۵ مورد دیگر

Kshirasagar Naik is a Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Ontario. He is actively involved in graduate research supervision and has been a member of IEEE since 1994. His academic career spans decades, with a focus on wireless communication, energy efficiency, and cybersecurity. 1992, Doctorate in Computer Engineering from Concordia University, Ontario 1988, Master of Mathematics in Computer Science from University of Waterloo, Ontario 1983, MTech in Computer Engineering from Indian Institute of Technology, Kharagpur, India 1981, BScEng in Electronics and Telecommunication from Sambalpur University, India His research interests include Mobile and Ad Hoc Networks , Cybersecurity , Internet of Things (IoT) , and Intelligent Transportation Systems . He has published extensively on energy optimization in wireless devices, delay-tolerant networks, and security protocols for vehicular systems. Recent publications highlight the integration of Machine Learning and IoT in environmental monitoring, particularly forest fire detection and prediction. Other works focus on cybersecurity , vehicular networks , and energy optimization in data centers and handheld devices. Professor Naik is currently accepting graduate students for research in mobile systems, network protocols, and green computing at the University of Waterloo.

Michael Frenchمشاهده پروفایل

دانشیار

• Supercell and Tornado Dynamics
• Doppler Weather Radar Applications
• Mesoscale Meteorology
• +۳ مورد دیگر

Michael French is an Associate Professor at Stony Brook University's School of Marine and Atmospheric Sciences (SoMAS), Department of Atmospheric Sciences. His research focuses on using Doppler radar data to study severe weather phenomena, particularly tornado dynamics and mesoscale processes. He holds a Ph.D. in Atmospheric Sciences from the University of Oklahoma (2012). His expertise includes analyzing phased array and dual-polarization radar data to improve understanding of supercell thunderstorms, tornado formation, and operational forecasting techniques. He has contributed to major field campaigns like VORTEX2 and has published extensively on radar signatures, hydrometeor analysis, and tornadic processes. Key research themes include radar-based tornado prediction, mesoscale snow banding, and improving short-term forecasting methods. His work integrates advanced radar technologies and GIS tools to study environmental impacts on severe weather events. Dr. French collaborates with institutions like NOAA and the University of Oklahoma, focusing on advancing radar meteorology and severe storm dynamics. His recent studies explore the influence of radar scanning strategies on thunderstorm observations and the role of hydrometeor size sorting in distinguishing tornadic supercells.

Yun Zhangمشاهده پروفایل

استاد

• Remote Sensing
• Image Processing
• Computer Vision
• +۴ مورد دیگر

Dr. Yun Zhang is a Professor and Canada Research Chair in the Department of Geodesy and Geomatics Engineering at the University of New Brunswick. He holds a PhD from the Free University of Berlin and has pioneered research in remote sensing, image processing, and computer vision since 2000. His patented technologies are licensed to global companies including PCI Geomatics and DigitalGlobe. Research Focus: Optical/radar image processing, digital photogrammetry, AI applications in geomatics, and sensor fusion for UAV systems. His work enables advanced geospatial analysis across environmental, urban, and defense sectors. Distinctions: First Giuseppe Inghilleri Award (ISPRS 2012) NSERC Synergy Innovation Award from Governor General of Canada (2011) ASPRS Talbert Abrams Grand Award (2005) Featured in CFI 20th Anniversary Book for breakthrough innovations Technology Impact: Solutions deployed by NASA, USGS, Google Earth, and DND Canada across five continents. Recognized among top 9 Canadian research achievements in AUTM's global case studies alongside MIT and Stanford innovations.

Joni Storieمشاهده پروفایل

دانشیار

• Geomatics
• Remote Sensing
• GIS
• +۶ مورد دیگر

Joni Storie is an Associate Professor in the Geography Faculty at the University of Winnipeg. She holds an office in Lockhart Hall (5L05) and teaches courses including Mapping in a Global World, Intro Remote Sensing, Advanced GIS, and Advanced Remote Sensing. Her research focuses on land-use/land-cover mapping, map automation with machine learning tools, spatial statistics, and terrestrial/aquatic resource management. Teaching expertise spans Regional & Physical Geography, Resource Conservation & Management, and Geomatics (GIS & Remote Sensing). Her work integrates geospatial technologies with environmental challenges, including flood mitigation, mangrove ecosystem analysis, and food environment patterning in urban areas. Research outputs emphasize remote sensing applications in coastal conservation, surface water detection, and vegetation dynamics. Over 13 peer-reviewed articles since 2004 demonstrate sustained academic contributions to geomatics and environmental geography. Current activities include advising on geomatics projects and contributing to the University of Winnipeg’s Geography program infrastructure.

Fraser Kingمشاهده پروفایل

استادیار

• Climate and Climate Change
• Radiation and Remote Sensing
• Synoptic Meteorology
• +۱۳ مورد دیگر

Fraser King is an incoming Assistant Professor in the Department of Atmospheric and Oceanic Sciences (AOS) at the University of Wisconsin–Madison, starting in Winter 2026. He holds a PhD in Machine Learning and Remote Sensing of Precipitation from the University of Waterloo (2022) and is currently a postdoctoral research associate at NASA Goddard Space Flight Center. His research integrates machine learning with atmospheric physics to advance precipitation and snowfall retrieval, cloud microphysics, and climate modeling. He has held research positions at the University of Michigan and NASA Jet Propulsion Laboratory. His research interests include: Climate and Climate Change Radiation and Remote Sensing Synoptic Meteorology Atmospheric and Cloud Physics Large Scale Dynamics Machine Learning and Model Interpretability Arctic Snowfall Prediction His recent publications reflect a strong trend in applying deep learning (e.g., U-Net, CNNs) and unsupervised methods (PCA, t-SNE, UMAP) to radar and satellite data for precipitation and snow microphysics. Key themes include radar gap inpainting, melting layer detection, and dimensionality reduction for physical interpretation. His work bridges geoscience and AI, aiming for interpretable models that enhance physical understanding. Scientific awards and professional service include: Finalist for the 2023 Governor General's Gold Medal, University of Waterloo Associate Editor, Journal of Atmospheric and Oceanic Technology (AMS) Member, AMS Committee on Artificial Intelligence Applications to Environmental Science Executive Council Member, AGU Precipitation Technical Committee Executive Member, Eastern Snow Conference Research Board Fraser King has mentored students through research projects and led educational initiatives such as a 12-week course on machine learning for land cover classification. He has secured research experience through internships at Aquanty Inc. and multiple NASA-affiliated institutions. He founded MapsByFraser, a company combining cartography and satellite data, and has collaborated with Google's Quantum AI team. His technical skills span Python, deep learning frameworks, and high-performance computing platforms. He leads several major research projects: Towards Interpretable Physical Models : Using sparse autoencoders and nonlinear dimensionality reduction to interpret geoscience models. Microphysical Dimensionality Reduction : Applying PCA, t-SNE, and UMAP to identify physical modes in precipitation data. BlindPaint : A U-Net for radar gap inpainting in spaceborne systems. DeepPrecip : A deep learning model for surface precipitation retrieval. iPhone LiDAR : Using consumer smartphones for snow depth measurement via drones. NRCan Machine Learning Land Cover Classifier : Training ML models on Sentinel-2 data. Climate Model Calibration : Using ML to correct biases in snow-related climate variables. CloudSat Snowfall Validation : Validating high-latitude snowfall estimates. Snow Modelling : A Rust-based physical/temperature-index snow model.

• Sustainable Spatial Planning
• Land Use Planning
• Urban and Regional Development
• +۱۲ مورد دیگر

Gernot Stöglehner is a Full Professor at the Institute of Spatial Planning, Environmental Planning and Land Rearrangement , part of the Department of Landscape, Water and Infrastructure at the University of Natural Resources and Life Sciences, Vienna (BOKU) . He holds a doctorate and habilitation in environmental planning, with a career spanning research, teaching, and applied consultancy. His research focuses on sustainable spatial planning, land use efficiency, integrated spatial and energy planning, climate resilience, and environmental assessment . He investigates how urban and regional development patterns impact energy demand, environmental quality, and climate adaptation, advocating for land-saving strategies and resilient settlement structures. His work bridges planning theory with practical policy tools. The recent publications reflect a strong trend in spatial resilience, energy transition, climate change adaptation, and sustainable land use . Articles cover topics such as flood recovery, urban energy modeling for electric vehicles, bioeconomy spatial aspects, and methodological foundations of planning. His research is highly applied, often contributing to policy frameworks and strategic planning instruments. Preis der Prof. Anton-Kurir-Stiftung zur Unterstützung des wissenschaftlichen Nachwuchses (2004) Stöglehner has led or participated in over 60 research projects, many as principal investigator, funded by the Austrian Research Promotion Agency (FFG), the European Commission, and Austrian federal and regional governments. His projects often involve interdisciplinary teams and knowledge transfer to municipalities and planning authorities. He actively advises on spatial and energy strategies for communities and regions. He leads a research group focused on spatial planning and environmental policy, contributing to doctoral programs and major initiatives like the BOKU Energy Cluster. His work is central to the university’s efforts in sustainability and climate action.

Erik Linsteadمشاهده پروفایل

دانشیار

• Machine Learning
• GPU Programming
• Autism Spectrum Disorder
• +۵ مورد دیگر

Dr. Erik Linstead is an Associate Professor and Senior Associate Dean at Chapman University, affiliated with the Fowler School of Engineering, School of Pharmacy, and George L. Argyros College of Business and Economics. His expertise spans Machine Learning, GPU Programming, Autism Spectrum Disorder, Assistive Technologies, Predictive Analytics, and Virtual Reality. Education: Bachelor of Science, Chapman University Master of Science, Stanford University Ph.D., University of California, Irvine Dr. Linstead's research integrates machine learning with diverse domains, including autism treatment, environmental monitoring, and software engineering. His recent publications focus on coral reef health, land surface temperature trends, and embedded machine learning systems. His scholarly work includes collaborations in remote sensing, medical informatics, and neurodiversity support. Articles highlight his interdisciplinary approach, applying AI to ecological challenges (e.g., Red Sea coral reefs, Nile Basin droughts) and human-centered technologies (e.g., VR therapy for autism, medication adherence analysis).

Stella Pytharouliمشاهده پروفایل

مدرس ارشد

• Microseismics
• Geodetic Deformations
• Slope Instability
• +۶ مورد دیگر

Dr. Stella Pytharouli is a Senior Lecturer in Civil and Environmental Engineering at the University of Strathclyde. With over 20 years of expertise in structural and ground deformation monitoring/analysis, her research focuses on subsurface characterization and slope instability early warning systems through microseismic monitoring, geodetic technologies, and machine learning integration. MEng (2002) - University of Patras MSc (2004) - University of Patras PhD (2007) - University of Patras Her research combines advanced signal processing with geodetic monitoring (terrestrial/aerial) to develop AI-driven solutions for UK landslide sites. Key areas include: Microseismic monitoring of weak seismic events Geometric and kinematic analysis of ground deformations Integration of geotechnical data with machine learning Climate change impact on slope stability Low-cost sensor development for environmental monitoring Recent publications highlight her work on AI-based seismic classification models, tiltmeter applications, and 3D reconstruction techniques. Her group includes 4 PhD students and 1 postdoc. Scientific recognitions include: Geophysical Research Letters front cover selection (2011) EOS Research Spotlight (2019) Lampadarios Prize from Academy of Athens (2009) TOPCON Award for young researchers (2008) As Director of Postgraduate Research (2020-present), she supervises PhD students and teaches land surveying modules. Current projects address slope stability analysis, climate change correlations, and seismic data automation.

Harriet D Allenمشاهده پروفایل

استاد

• Biogeography
• Environmental Change
• Quaternary Studies
• +۴ مورد دیگر

Professor Harriet D Allen is a leading academic in Physical Geography at the University of Cambridge, affiliated with the Department of Geography and Girton College. She holds dual roles as Professor of Physical Geography and Fellow/Tutor at Girton College since 2002. Her research focuses on Mediterranean ecosystems, biogeography, and environmental change with particular emphasis on remote sensing applications for landscape ecology and vegetation dynamics. Education: MA (Cambridge/Girton College), MSc (University of Calgary, Canada), PhD (Cambridge, focusing on Quaternary studies in Greece). She has held academic positions since 1986, including Senior Lecturer roles at Homerton College and current roles in Cambridge's Geography Department. Research Interests: Modeling Mediterranean shrubland ecosystems using LiDAR and multisensor data Vegetation response to Holocene and contemporary environmental changes Restoration of Mediterranean mosaic landscapes Ecological impacts of land use changes in Portugal and Greece Palaeoecological reconstruction using sedimentary records Advising & Grants: Supervised 3 PhD students (Amy McGuire, William Fletcher, William Simonson) focusing on Quaternary environments, forest structure, and landscape history. Active in curriculum development as Director of Undergraduate Teaching (2014–2022). Labs/Teams: Member of Climate & Environmental Dynamics and Biogeography & Biogeomorphology research groups. Collaborates with Plant Sciences Department on lidar applications. Leads fieldwork in Portugal, Switzerland, and Greece.

Jonathan W. Chipmanمشاهده پروفایل

استادیار مدعو

• Geographic Information Systems (GIS)
• Remote Sensing
• Applied Spatial Analysis
• +۳ مورد دیگر

Jonathan W. Chipman is an Adjunct Assistant Professor at Dartmouth College and Director of the Citrin Family GIS/Applied Spatial Analysis Laboratory. He holds an A.B. from Dartmouth College and M.S./Ph.D. from the University of Wisconsin-Madison. Specializing in geospatial science, his work integrates remote sensing, GIS, and spatial analysis to study environmental and social systems. Research focuses include lake optical properties via satellite imagery, land-use changes in Egypt/China, vegetation dynamics in southern Africa, and socio-spatial segregation patterns in the US. Education: A.B., Dartmouth College M.S., University of Wisconsin-Madison Ph.D., University of Wisconsin-Madison Research Interests: Chipman applies geospatial tools to environmental challenges, including climate change impacts on glaciers, land-cover transformations, and socio-environmental linkages. His work bridges disciplines like hydrology, ecology, and public health through innovative GIS methods. Recent projects explore tropical glacier dynamics, greenspace health correlations, and malaria endemicity patterns. Key Article Trends: Publications emphasize remote sensing applications in glaciology, environmental toxicology, and socio-environmental systems. Themes include satellite-based monitoring of river systems, glacier classification in High Mountain Asia, and GIS-driven analysis of human health exposures tied to land cover. Lab & Collaborations: Leads the Citrin Lab, focusing on applied spatial analysis. Courses taught include GEOG 54 (Geovisualization) and EARS 77 (Environmental GIS). Active in 3D landscape modeling collaborations via SketchFab and Google Scholar.

Sassan Saatchiمشاهده پروفایل

استاد مدعو

• Remote Sensing
• Environmental Science
• Biodiversity Conservation
• +۵ مورد دیگر

Sassan Saatchi serves as a Senior Scientist at the Jet Propulsion Laboratory (JPL), California Institute of Technology, and holds an Adjunct Professor appointment at the Center for Tropical Research within UCLA's Institute of the Environment and Sustainability (IoES). His dual roles bridge advanced spaceborne sensor development with critical environmental conservation applications globally. Education: Ph.D. in Electrophysics and Applied Mathematics from George Washington University (1988) Research Interests: Dr. Saatchi's work centers on remote sensing technologies for environmental monitoring, specializing in tropical and boreal forest ecosystems. His core expertise includes land cover classification, biomass estimation, soil moisture analysis, carbon stock assessment, and conservation applications. He maintains active research in wave propagation theory and electromagnetic scattering in natural media, connecting fundamental physics with practical environmental solutions. Publication Trends: His 2000-2014 publications reveal a consistent trajectory applying satellite remote sensing to biodiversity conservation and climate challenges. Key patterns include spatial conservation planning in critical biomes (Atlantic Forest, Congo Basin), disease ecology mapping (monkeypox, avian malaria), and cross-disciplinary integration of ecological genetics with satellite data. His work consistently emphasizes African and South American rainforest-savanna ecotones as conservation priorities. Professional Leadership: Dr. Saatchi develops and teaches specialized courses on remote sensing for environmental problem-solving. His research receives significant funding from organizations like the National Geographic Society, as evidenced by recent projects indexing tropical rainforest vulnerability and creating high-resolution maps for the Democratic Republic of Congo's conservation efforts. Research Infrastructure: He operates within JPL's Earth Science Division and UCLA's Center for Tropical Research, leading teams that translate satellite data into actionable conservation strategies. Current initiatives focus on high-tech rainforest mapping to simultaneously address climate change mitigation and biodiversity protection.

Thomas Kjeldsenمشاهده پروفایل

استاد

• Extreme events
• Machine learning
• Hydrological modelling
• +۲ مورد دیگر

Thomas Kjeldsen is a Professor in the Department of Architecture & Civil Engineering at the University of Bath. He leads multiple research projects funded by organizations such as The British Council, Royal Academy of Engineering, and The Leverhulme Trust. His research focuses on extreme events, machine learning, hydrological modeling, and nature-based solutions. He is affiliated with centers including the Water Innovation and Research Centre (WIRC), EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa), and the Institute for Mathematical Innovation (IMI). Research Interests: Extreme events, machine learning applications in hydrology, flood risk management, and civil engineering resilience. Key Projects: Development of rainfall frequency models for infrastructure design, flood reconstruction using historical data, and capacity-building for South African flood studies. His work contributes to UN Sustainable Development Goals related to climate action and clean water. Recent studies emphasize non-stationary hydrological analysis, urban flood modeling using machine learning, and interdisciplinary approaches to water resource management. Activities include advising doctoral students, organizing academic events (e.g., British Hydrological Society Symposium), and serving on external committees like Affinity Water. His research has been widely cited and featured in policy discussions and international media.