جست‌وجوی استاد و پژوهشگر

Jeremy Cramptonمشاهده پروفایل

استاد مدعو

• Geography
• Critical Cartography
• Surveillance Studies
• +۵ مورد دیگر

Jeremy Crampton is an Adjunct Professor focusing on the societal and political implications of geolocational technologies. He is a leading scholar in critical cartography, surveillance studies, and spatial big data governance. His work explores how technologies like AI, blockchain, and geoweb platforms shape everyday life and power dynamics. He is a Fellow of the Alan Turing Institute and Royal Geographical Society (UK), and a member of the American Association of Geographers. His research spans over three decades, including a seminal 2010 monograph on critical cartography and ongoing projects on counter-GeoAI. He is currently writing The Map and the Spyglass: The New Geographical Analytics of Everyday Life , to be published by Verso. Crampton teaches GEOG 3146 - Political Geography , addressing how spatial technologies influence political structures and governance. Key themes in his work include algorithmic decision-making, geospatial surveillance ethics, and the interplay between technology and sovereignty. His recent articles analyze smart cities, festival security, and the societal impacts of locational data. He critiques techno-utopian narratives, advocating for equitable and transparent geospatial systems. Scientific awards include recognition for his contributions to critical GIS theory and digital geography. His interdisciplinary approach bridges human geography, technology studies, and policy analysis, influencing debates on data governance and spatial justice.

• Land-system science
• Geospatial intelligence
• Remote sensing
• +۷ مورد دیگر

Dr. Narcisa Pricope is Professor of Geography and Geospatial Science in the Department of Geosciences at Mississippi State University (MSU) and concurrently serves as Associate Vice President for Research in MSU’s Office of Research and Economic Development. Previously, she spent a decade at the University of North Carolina Wilmington (UNCW) where she founded and directed multiple high-profile programs, including the NSF-funded Coastal UAS Observatory and the USGIF-accredited Geospatial Intelligence certificate. Education PhD in Geography (minor Environmental Engineering), University of Florida, 2011 MSc in Geosciences, Western Kentucky University, 2006 BA in Geography and English, Babeș-Bolyai University, Cluj-Napoca, Romania, 2004 Research Interests Dr. Pricope is a land-systems scientist who integrates geospatial modelling, remote sensing, and unoccupied aerial systems (UAS) to investigate complex socio-ecological interactions at the food-water-energy nexus. Her work emphasizes understanding environmental variability and human vulnerability to land degradation, drought, and climate change, with a strong commitment to community-engaged research across dryland regions in eastern and southern Africa, Peru, Nepal, and coastal/inland North America. Key methodological thrusts include: Advanced machine-learning and geostatistical analytics Multi-scale remote sensing (satellite, airborne, UAS) Topobathymetric LiDAR for coastal and inland water management GeoAI and geospatial intelligence capacity building Research Trends from Recent Publications Across more than 50 peer-reviewed articles, Dr. Pricope’s recent work demonstrates a pronounced focus on global drying trends, precision mapping of coastal and inland ecosystems, and the deployment of machine-learning techniques to tackle environmental challenges such as salinity intrusion, vegetation classification, and heavy-metal contamination. A strong policy-oriented thread is evident, with several 2024–2025 publications calling for urgent adaptive solutions to aridification and integrating climate policy with disaster planning. Scientific Awards 2022 UNCW Graduate Faculty Mentor Award 2022 Discere Aude Mentorship Award 2021 UNCW College of Arts and Sciences Research Award Grants & Strategic Initiatives Dr. Pricope has secured funding from NSF, NASA, NOAA Sea Grant, USAID, World Bank, Global Environment Facility, NCDOT and NGA, among others. At MSU she leads strategic initiatives in climate resilience, GeoAI programming, and university-wide research support. Laboratories & Teams She previously directed the NSF-funded UNCW Coastal UAS Observatory and oversaw the FAA Collegiate Training Initiative in UAS, positioning UNCW as a national hub for geospatial intelligence education and research. At MSU, she continues to foster interdisciplinary collaboration across geosciences, engineering, and social sciences.

Bo Zhaoمشاهده پروفایل

استاد

• Geographic Information Systems
• Urban Studies
• Digital Geographies
• +۷ مورد دیگر

Bo Zhao is a Professor at the University of Washington, specializing in humanistic approaches to geographic information and technology. His work bridges technical geospatial practices with ethical and social considerations, focusing on equity, justice, and marginalized communities. He holds a Ph.D. in Geography from The Ohio State University (2015). Research interests include geospatial technologies' societal impacts, such as amplifying land claims of Indigenous communities, addressing misinformation's effects on small businesses, and reconstructing LGBTQ+ urban histories. He critically examines emerging technologies like GeoAI, deepfake geography, and biases in spatial big data. Zhao advocates for GIS as an ethical medium fostering empathy and inclusivity. His applied projects include post-disaster mapping for the Wenchuan Earthquake and a VGI platform aiding reuniting street children with families. He emphasizes GIS's role in visibility, power dynamics, and collective memory. Courses taught and affiliated programs are listed on his profile, though specific grants or awards are not detailed here.

Erchan Aptoulaمشاهده پروفایل

استاد

• Digital Image Analysis
• Computer Vision
• Remote Sensing
• +۳ مورد دیگر

Erchan Aptoula is a Professor of Computer Science at Sabanci University's Faculty of Engineering and Natural Sciences in Istanbul, Türkiye. He is affiliated with the Computer Vision and Pattern Analysis Laboratory (VPALab) and actively conducts research in digital image analysis, computer vision, and deep learning with a focus on remote sensing and (bio)medical data. University: Sabanci University School: Faculty of Engineering and Natural Sciences Academic Rank: Professor Email: erchan.aptoula@sabanciuniv.edu His research interests span domain generalization for remote sensing, explainable AI, medical image analysis, and precision agriculture applications. Recent work includes advancements in open-set domain generalization for hyperspectral classification, pollen classification with novel datasets, and domain adaptation techniques for SAR flood segmentation. Scientific contributions include 15+ recent publications addressing domain generalization, semantic segmentation, and uncertainty quantification in remote sensing and medical imaging. Awards include 2nd place at IEEE SIU'25 student paper awards. Projects involve international collaborations with institutions in Tunisia, Finland, and the UK, focusing on medical image understanding, crowd counting, and Ottoman document analysis.

Jing Yaoمشاهده پروفایل

استاد

• Geographic Information Science
• Spatial Analysis
• Spatial Statistics
• +۵ مورد دیگر

Professor Jing Yao is a leading academic in Urban Analytics and Geographic Information Science at the University of Glasgow, affiliated with the Urban Big Data Centre. She holds a PhD in Geography from Arizona State University (ASU) and advanced degrees in GIS from Nanjing University. Her research focuses on spatial optimization, health geography, and urban planning, with applications in emergency service location modeling, environmental monitoring, and socio-spatial equity. Education: PhD in Geography (ASU), MSc Industrial Engineering (ASU), MSc & BSc GIS (Nanjing University). Research: Specializes in spatial analysis, GeoAI, and urban-rural disparities. Recent work includes optimizing emergency medical services, analyzing pandemic impacts on urban resilience, and tracking global rangeland conditions via big data. Grants & Collaborations: Principal Investigator for projects on rangeland tracking (£11,970) and healthy urban spaces (£9,800). Co-Investigator in ESRC-funded Urban Big Data Centre and GCRF SHLC. Supervises PhD students in spatial optimization and GeoAI. Hosts visiting scholars from Chinese institutions. Teaching & Training: Leads postgraduate courses on GIS, spatial analysis, and urban research methods at the Urban Big Data Centre.

Jin Ruiمشاهده پروفایل

پژوهشگر

• Geographic Information Science
• Urban Artificial Intelligence (GeoAI)
• Spatial Data Science
• +۵ مورد دیگر

Dr. Jin Rui is a Postdoctoral Research Associate at King’s College London’s Department of Geography within the School of Global Affairs, Faculty of Social Science & Public Policy. He holds a PhD in Spatial Planning (2024, Technical University of Dortmund), an M.Sc. in Architecture and Urban Planning (2020, Leibniz University Hannover), and a B.Sc. in Architecture (2018, China Academy of Art). His research focuses on spatial data science, urban AI, and GeoAI applications in smart cities and risk management. Key research areas include urban visual intelligence, GeoAI for disaster analysis, and quantitative urban planning using big data. He leads projects like the British Academy-funded Sinking Cities initiative and collaborates on digitalization and public health. He serves as a guest editor for Land and reviews for journals like Nature Cities . His work bridges theory and practice, offering policy insights on urban renewal, pedestrian-centered design, and sustainable mobility. He has delivered lectures at the University of Hong Kong and China Academy of Art on AI-driven urban planning.

Kevin Ashمشاهده پروفایل

دانشیار

• Environmental Hazards
• Earth System Science
• Climate Risk
• +۳ مورد دیگر

Kevin Ash is an Associate Professor at the University of Florida's School of Natural Resources & Environment, co-leading the Climate Risk and Storm Hazards (CRASH) Lab. His research focuses on environmental hazards, actionable earth system science, and geospatial analysis of weather-related risks. He emphasizes interdisciplinary approaches to study human-environment interactions, particularly vulnerability assessment and policy implications for communities facing flood, wind, and sea-level rise threats. Education includes a PhD in Geography (University of South Carolina, 2015), MS in Geography (University of Florida, 2010), and BA in Geography (University of Oklahoma, 2004). Postdoctoral work included the National Center for Atmospheric Research (2017–2018) and University of South Florida (2015–2017). Teaching spans hazards geography, GIS analysis, and GeoAI. Courses like GIS 4324/6325 and GEO 2006 emphasize geospatial data analysis and decision-making frameworks. His funded projects include a NSF NCAR/UCAR grant for weather warning frameworks and NOAA-funded studies on tornado sheltering during the pandemic. Key research themes include climate mobility, socio-hydrology, and probabilistic weather communication. The CRASH Lab collaborates across disciplines to address adaptation strategies for vulnerable populations in hazard-prone regions. His publications often bridge physical and social sciences, highlighting geospatial tools for resilience planning. Advising current graduate students include Donal Bissainte, Michelle Ruiz, Jawata Saba, and Christopher Williams. Recent advisee Caley Feemster contributed to tornado warning design studies. Labs/Teams: CRASH Lab (co-led), Florida Climate Institute affiliate.

Songlin Wangمشاهده پروفایل

پژوهشگر

• Climate Change
• Human Geography
• Demography
• +۷ مورد دیگر

Songlin Wang is a University Assistant (Prae-doc) at the University of Vienna's Department of Geography and Regional Research, affiliated with the Population Geography and Demography working group. His research focuses on climate change and migration, integrating GeoAI methods to analyze global and local dimensions of climate migration. Education: BSc in Cartography from Wuhan University (thesis: human mobility & pandemic) MSc in GIS with Data Science minor from University of Zurich (2021) Research Interests: Climate migration dynamics using spatial data science GeoAI applications in demographic studies Toponymy and landscape analysis Machine learning for pandemic modeling Current Work: Managing interdisciplinary projects to combine GeoAI with climate migration studies, emphasizing data-driven approaches over fieldwork. Labs/Teams: Active member of the Population Geography and Demography research group, contributing to Spatial Data Science and Geocommunication initiatives.

Hong Yuمشاهده پروفایل

استاد مدعو

• Computational Biology
• Bioinformatics
• Information Retrieval
• +۳ مورد دیگر

Hong Yu is an Adjunct Professor at the University of Massachusetts Amherst, affiliated with the Center for Intelligent Information Retrieval and the Biomedical Informatics Natural Language Processing (BioNLP) Laboratory. Her research focuses on computational biology, bioinformatics, and biomedical applications of information retrieval, natural language processing, and human-computer interaction. She has developed systems like AskHERMES (a biomedical Q&A tool) and NoteAid (to aid patient comprehension of medical records). Education includes a PhD in Biomedical Informatics from Columbia University, M.Ph. in Physiology and Cellular Biophysics, and degrees in Physiology and Biomedical Engineering from institutions in China. She has led NIH-funded projects and serves on the editorial board of the Journal of Biomedical Informatics. Research awards include the NLM predoctoral training grant and recognition as one of six 'Star Trainees' for NLM's 175th anniversary. Her work has been featured in Science, Nature, and the Pulitzer-winning Milwaukee Journal Sentinel. Current interests emphasize privacy in geospatial data, ethical AI, and reimagining GIScience education. Grants: Multiple NIH-funded projects. Labs: Center for Intelligent Information Retrieval, BioNLP Lab. Service: Co-chair of biomedical NLP sections at major conferences.

Hannah Sirianniمشاهده پروفایل

استادیار

• Geomatics
• Remote Sensing
• Coastal Geography
• +۳ مورد دیگر

Dr. Hannah Sirianni is an Assistant Professor of Geographic Information Science & Technology in the Department of Geography, Planning & Environment at East Carolina University. She leads the Coastal Geography & Terrain Analysis Lab, which specializes in advanced mapping, monitoring, and modeling of coastal environments to support sustainable development and resilience decision-making. Her research employs cutting-edge geospatial technologies including airborne/terrestrial laser scanning, RTK-GNSS, sUAS, and geospatial AI techniques. Education: Ph.D. in Geosciences from Florida Atlantic University M.A. in Geography from University of Hawaiʻi at Mānoa B.A. in Geography (Highest Honors) from University of Hawaiʻi at Mānoa Research Focus: Dr. Sirianni's research integrates geomatics, GeoAI, OBIA, SfM photogrammetry, and Monte Carlo simulation to address coastal challenges. Her work focuses on shoreline dynamics, bluff erosion, living shoreline effectiveness, and coastal carbon capture monitoring. Current projects include the Sugarloaf Island Restoration and monitoring olivine sand placement for climate mitigation. Publication Trends: Her recent publications demonstrate strong focus on coastal vulnerability assessment, LiDAR/UAS applications, shoreline classification, storm impact quantification, and machine learning applications in geospatial analysis. Research consistently addresses practical coastal management solutions. Grants & Projects: Co-PI for NOAA Sea Grant/USCRP project: "Co-developing a community and data-driven framework for coastal protection decision-making" Living shoreline restoration research at NC Aquarium at Pine Knoll Shores Coastal Carbon Capture™ monitoring using UAS technology Student Advising: Dr. Sirianni actively mentors graduate and undergraduate researchers in coastal geospatial applications. Current advisees include 3 MS students and 1 PhD candidate, with 12 former students now working in environmental science and GIS positions. Lab Operations: The Coastal Geography & Terrain Analysis Lab conducts extensive fieldwork including sUAS surveys, RTK-GNSS measurements, and bathymetric mapping, supported by collaborative partnerships with NC Coastal Federation and other institutions.

Ali Mansourianمشاهده پروفایل

استاد

• Geospatial Artificial Intelligence
• Spatial Data Infrastructures
• Multi-Criteria Decision Analysis
• +۷ مورد دیگر

Ali Mansourian is a Professor of Geomatics at Lund University's Department of Physical Geography and Ecosystem Science, where he serves as Director of the Lund University GIS Centre and Coordinator of the GIS & RS Master Programme. He is actively involved with the United Nations Global Geospatial Information Management (UN-GGIM) Academic Network and previously served on the European Association of Geographic Information Laboratories in Europe (AGILE) council. His academic leadership spans large-scale international research initiatives and capacity-building projects funded by Erasmus+ and SIDA. Mansourian's research focuses on Geospatial Artificial Intelligence (GeoAI), Spatial Data Infrastructures (SDI), and Multi-Criteria Decision Analysis (MCDA) using multi-objective optimization techniques. His work extends to applying GIS in epidemiology and public health, disaster risk management, land-use planning, climate change, environmental management, and sustainability. His research portfolio demonstrates a strong interdisciplinary approach, bridging geospatial technology with critical societal challenges. His recent publications reveal a clear trend toward integrating advanced machine learning techniques with geospatial analysis, particularly in health applications, environmental monitoring, and climate change impacts. The research shows increasing emphasis on spatial ensemble learning, remote sensing applications, and the development of GeoAI tools that make geospatial analysis more accessible through natural language interfaces. His work spans multiple continents, with significant contributions in Africa, Europe, and Asia. Mansourian has extensive experience supervising PhD students and postdoctoral researchers, though specific student names aren't listed in the provided materials. He has coordinated numerous large-scale international projects including Geo-Academy, INTEGRAL, CADEO, and SWEMENA, demonstrating significant grant acquisition and management expertise. His leadership extends to evaluating proposals for major European research grant programs and serving as an invited evaluator for PhD theses. As Director of the Lund University GIS Centre and active member of multiple international networks, Mansourian leads a dynamic research environment focused on advancing geospatial technologies and their applications. His teams work at the intersection of traditional GIScience and emerging artificial intelligence approaches, creating innovative solutions for complex spatial problems across multiple domains including public health, environmental management, and sustainable development.

John Derek Morganمشاهده پروفایل

دانشیار

• Geographic Information Systems (GIS)
• Urban Environmental Geography
• Participatory Mapping
• +۱۲ مورد دیگر

John Derek Morgan is an Associate Professor in the Department of Earth and Environmental Sciences at the University of West Florida, within the Hal Marcus College of Science and Engineering. He serves as the primary faculty for the online Master of Science in GIS Administration program, contributing significantly to geospatial education and research. His work bridges urban environmental geography, GIS, cartography, and public policy. PhD in Geography, Florida State University MS in Management Information Systems, University of Central Florida BA in Economics (with Computer Science minor), University of Central Florida Dr. Morgan's research centers on the application of advanced geospatial methodologies to urban and environmental challenges. His work spans participatory mapping, crime mapping using time-geographic models, hazard modeling, land use planning, and cartographic visualization. He emphasizes user-centered design in Web GIS and explores how spatial tools can promote safer communities and equitable decision-making. His projects often integrate satellite imagery, social vulnerability indices, and community input to inform resilience and policy. The recent publications reflect a strong trend in applying GIS to social and environmental issues, including disaster response, urban park safety, illegal logging detection using GeoAI, and wildfire monitoring. His work combines technical innovation in geovisualization with real-world applications in public safety, environmental justice, and urban sustainability. Scientific Awards: NSF Doctoral Dissertation Research Grant #0927850 Dr. Morgan advises graduate students in the MS GIS program and has been involved in significant research grants, including the Florida Sea Grant 2024 project focused on training GIS graduates for coastal resilience. His collaborations span interdisciplinary teams, including environmental scientists, urban planners, and computer scientists. He has also contributed foundational content to the UCGIS Geographic Information Science & Technology Body of Knowledge. He leads research initiatives involving Web GIS development, hazard modeling post-hurricanes, and participatory mapping for community engagement. His lab work includes the use of satellite imagery, Bayesian networks for infrastructure failure, and deep learning for environmental monitoring. Future work continues to focus on transboundary viewshed changes, GeoAI applications, and improving spatial tools for public decision-making.

• Artificial Intelligence (AI)
• GeoAI
• Semantic Web
• +۱۱ مورد دیگر

M. Farnaghi is an Assistant Professor at the University of Twente's Faculty of Geo-Information Science and Earth Observation (ITC), specifically within the Department of Geo-Information Processing (GIP). Their research focuses on the integration of artificial intelligence (AI) and geospatial data processing, with expertise in GeoAI, semantic web technologies, machine learning (ML), and deep learning (DL). Develops automated geospatial data processing workflows using AI Specializes in spatiotemporal modeling for environmental monitoring, disaster management, and spatial epidemiology Current research includes Large Language Models (LLMs), MLOps, and explainable AI in geospatial contexts Explores blockchain applications for geospatial data security and accountability

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +۹ مورد دیگر

Carlo Masone is a Fixed-term Researcher at the Department of Control and Computer Science (DAUIN), Politecnico di Torino, affiliated with the College of Electronic, Telecommunications, and Physics Engineering. He is also an invited member of the College of Management and Production Engineering and the College of Mathematical Engineering, reflecting his interdisciplinary contributions. His research focuses on artificial intelligence, machine learning, computer vision, and robotics, with significant work in visual place recognition, federated learning, and geospatial AI. His research interests span Artificial Intelligence , Machine Learning , Computer Vision , Robotics , Visual Place Recognition , Federated Learning , Open-Set Segmentation , and Geospatial AI . He has developed methods for uncertainty quantification in ML models for autonomous vehicles and contributed to digital heritage through the MAPP project. The recent publications highlight a strong trend in visual place recognition (e.g., EigenPlaces, MeshVPR), geolocalization of astronaut photography (Earthloc, EarthMatch), and robust segmentation (Mask2Anomaly). There is a clear emphasis on leveraging pre-trained features, federated learning for privacy-preserving recognition, and topological methods in vision. His work bridges robotics, AI, and real-world applications in autonomous systems and cultural heritage. Scientific Awards: Outstanding Reviewer at CVPR (2022, 2023, 2024) IROS JTCF Novel Technology Paper Award (2016) Best Paper Award Finalist at IEEE ICIA (2016) ELLIS Fellow (2024–) He advises PhD students in Artificial Intelligence and Computer and Systems Engineering and leads commercial research projects such as Quantifying Uncertainties in ML Models for Driver-Assisted and Autonomous Vehicles and MAPP - Phygital and Participatory Alpine Museums . He has previously collaborated with the Max Planck Institute for Biological Cybernetics (2014–2017). He teaches courses including Machine Learning for Mathematical Engineering , Robot Learning , and GeoAI , and contributes to programming and data science curricula. He is also a co-inventor on a patent for automated neural network design.

Antonio Medranoمشاهده پروفایل

استادیار

• Geospatial Computing
• GeoAI
• UAV Swarms
• +۱۰ مورد دیگر

Antonio Medrano is an Assistant Professor of Geospatial Computer Science at Texas A&M University–Corpus Christi (TAMUCC) and the director of the Geospatial Optimization & Analytics Lab (GOAL). His research focuses on location optimization, spatial logistics, high-performance computing (HPC), and artificial intelligence/machine learning (AI/ML) with applications to drone systems, coastal environmental science, and facility location modeling. Specializations: Geospatial Computing, GeoAI, UAV Swarms, Remote Sensing, HPC, Parallel Computing, Big Data, Spatial Optimization, Multi-Objective Optimization, GIS. Labs: Geospatial Optimization & Analytics Lab (GOAL). Students: Mona Hajiesmaeeli, Gabriel Nambila, Abhishek Phadke, Marina Vicens Miquel (all graduated). His work emphasizes fast optimization algorithms, parallelization of network algorithms for HPC resources, and generating diverse near-optimal solutions. He is affiliated with the AI2ES NSF Institute, contributing to AI-driven coastal inundation prediction and resilient cyber-physical systems.