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Gunho SohnView profile

Associate Professor

• 3D Urban Space Modelling
• Photogrammetric Computer Vision
• Geometric Remote Sensing
• +7 more

Gunho Sohn is an Associate Professor and Department Chair in the Earth and Space Science and Engineering (ESSE) Department at York University's Lassonde School of Engineering. His research focuses on advanced geomatics engineering applications, including 3D urban modeling, photogrammetric computer vision, and geospatial data integration. He specializes in developing innovative solutions for navigation systems, energy optimization, and autonomous robotics through interdisciplinary approaches. Dr. Sohn's work emphasizes practical implementations of remote sensing technologies, with notable contributions to LiDAR data processing, SLAM systems, and BIM-GIS integration. His research has addressed real-world challenges such as improving air quality models using industrial plume observations and creating inclusive pedestrian navigation tools using open geospatial datasets. Recent trends in his publications highlight advancements in deep learning for geospatial tasks, including semantic segmentation of aerial LiDAR data, noise reduction in sensor networks, and UAV positioning systems. His work also explores digital twin applications for simulating urban environments and optimizing building energy consumption through BIM data analysis. While no specific awards or grants are listed, his extensive publication record reflects significant contributions to the fields of geomatics and computer vision. His research group collaborates on large-scale datasets like YUTO MMS and Yuto Semantic, advancing mobile mapping and semantic understanding of urban infrastructure.

Susan (Shufen) PanView profile

Associate Professor

• Ecosystem Modeling
• Geospatial Analysis
• Remote Sensing
• +4 more

Dr. Susan (Shufen) Pan is an Associate Professor and Director of the GIS and Remote Sensing Laboratory at the School of Forestry and Wildlife Sciences, Auburn University . With over 20 years of expertise in ecosystem/geospatial modeling and remote sensing, her work focuses on monitoring, assessing, and predicting multi-scale dynamics of coupled natural-human systems under global environmental change. Research Areas: Land use/land cover changes, climate impacts and adaptation, food and water security, Big Data applications. Leadership: Leads the Geospatial and Environmental Informatics undergraduate program; core member of Auburn's Climate, Human and Earth System Sciences (CHESS) cluster. Teaching: Instructs courses on Earth observation, Big Data analysis, and ecosystem resilience as part of the NSF Research Traineeship (NRT) program.

Neal D. GoldsteinView profile

Academic

• Epidemiology
• Biomedical Informatics
• Infectious Disease Surveillance
• +7 more

Neal D. Goldstein, PhD, MBI, is an Associate Research Professor of Epidemiology at Drexel University's Dornsife School of Public Health. His work focuses on computational methods in epidemiology, particularly leveraging electronic health records (EHR) for infectious disease surveillance and public health resource optimization. He holds a PhD in Epidemiology from Drexel and an MBI from Oregon Health & Science University. Research interests include data analysis methods, infectious disease transmission, spatial epidemiology, and translational epidemiology. Goldstein has authored over 60 peer-reviewed publications, a textbook on EHR-based epidemiological analyses, and co-authored chapters in academic textbooks. His work has been featured in national media outlets including Kaiser Health News and Politico. Key projects include NIH-funded studies on HIV surveillance and predictive modeling of healthcare-associated infections. Goldstein also maintains a blog discussing methodological advances in epidemiology and EHR research. He advises students and collaborates on grants focused on improving public health resource allocation through data-driven approaches. Goldstein's lab emphasizes bridging EHR informatics with epidemiological practice to address challenges in infectious disease management and healthcare equity.

Ayşegül AksoyView profile

Professor

• Environmental systems engineering
• Integrated waste management
• Water quality modeling and management
• +4 more

Prof. Ayşegül Aksoy is a faculty member in the Department of Environmental Engineering at Middle East Technical University (METU) since 2002. She holds a Ph.D. in Civil Engineering from the University of Virginia (2000) and has held visiting roles at Stanford University (2015-2016) and the University of California Davis (2001). Her academic leadership includes Vice Chair roles in METU's Environmental Engineering Department (2012-2015 and 2006-2009), and she co-developed UN courses on Black Sea environmental management. Her research focuses on environmental systems engineering, integrated waste management, water quality modeling, and remote sensing applications. Notable projects include developing autonomous systems for lake turnover monitoring, optimizing landfill leachate management, and evaluating solar sludge drying alternatives. She has directed over 20 graduate theses and contributed to research funded by TÜBİTAK, Newton Fund, and EU programs. Key awards include the AQUA 360 Best Paper Award (2021) and TÜBİTAK Fellowships. Her work spans 120+ peer-reviewed publications, with recent focus areas including anaerobic digestion optimization, GIS-based waste routing, and pollutant fate modeling in heterogeneous aquifers. She advises on national environmental policies and manages projects like the 'Turnover Response System Development' (2020-2023) and 'Chlorophyll-a Modeling in Lake Eymir' (2009-2010).

Jessica DiCarloView profile

Assistant Professor

• Human Geography
• Political Ecology
• Development Studies
• +5 more

Dr. Jessica DiCarlo is an Assistant Professor at the University of Utah in the School of Environment, Society & Sustainability , with additional affiliations in Environmental Humanities and Asian Studies . A human geographer and political ecologist, her work focuses on global China , infrastructure politics , and resource governance , supported by her 2023-24 Wilson China Fellowship and 2023-25 Public Intellectual Program Fellowship . PhD in Geography (University of Colorado Boulder, 2021) MA in Development Studies (University of California Berkeley, 2016) BA in International Studies & Political Science (Pepperdine University, 2008) Her research explores China's geopolitical influence through infrastructure projects in Southeast Asia , Laos , and the Himalaya , analyzing how critical minerals and energy transitions intersect with local livelihoods. Recent publications examine polyalignment strategies in Nepal and commodity fetishism in Southeast Asian railways. She co-edited The Rise of the Infrastructure State (Bristol University Press, 2022). Dr. DiCarlo serves on the editorial boards of The People’s Map of Global China and Global China Pulse , and co-founded the Second Cold War Observatory . Awards include the Outstanding Mentor and Advisor Award (University of Utah, 2024) and P.E.O. Scholar Award (2020). She teaches courses on political ecology , global China , and environment-society dynamics , with fieldwork experience in Tibet , China , and Nepal .

Di ZhuView profile

Assistant Professor

• Geographic Information Science
• Geospatial Artificial Intelligence (GeoAI)
• Spatial Networks
• +6 more

Di Zhu is an Assistant Professor of Geographic Information Science at the University of Minnesota's Department of Geography, Environment and Society. He directs the Geospatial Data Intelligence (GeoDI) Lab, focusing on GeoAI and social sensing to analyze human-environment interactions in urban systems, public health, and socioeconomic dynamics. His educational background includes a PhD in Cartology and GIScience from Peking University, complemented by a BSc in GIS and a BA in Economics from the same institution. Key research interests include spatial regression models, human mobility patterns, and GeoAI applications. He has collaborated on projects funded by NIH, NSF, and other agencies, exploring topics like spatiotemporal data imputation, urban flow analysis, and pandemic spatial dynamics. His work bridges traditional GIScience with modern machine learning techniques, emphasizing actionable insights from big geospatial data. Teaching focuses on advanced GIS, numerical spatial analysis, and urban sensing. He actively mentors students through the University of Minnesota's Master of GIS program and serves on academic boards including CPGIS. Current projects include analyzing Twin Cities mobility networks and developing intelligent spatial prediction frameworks.

• Atmospheric Sciences
• Environmental Engineering
• Public Health
• +3 more

Dr. David Green is a Senior Research Fellow at the School of Public Health, Faculty of Medicine at Imperial College London, leading the Aerosol Science Team within the Environmental Research Group. His research focuses on aerosol and gas measurement, source apportionment, and health impact studies. Key leadership roles include directing the Centre for Low Emission Construction and contributing to diversity initiatives. His work integrates advanced analytical techniques, such as real-time supersite monitoring in London, to inform public health policies and environmental forecasting systems. Research interests emphasize aerosol composition measurement, development of new techniques, and quantifying emission sources in urban environments. Collaborative projects span agencies like the Environment Agency, EPSRC, and EU initiatives. He supervises PhD students exploring topics such as non-road mobile machinery emissions, satellite-based traffic analysis, and subway air quality. His team’s work bridges environmental science and public health, addressing issues like ultrafine particle exposure, particulate matter on public transport, and policy-driven emission reductions. Key Collaborations: Includes STFC Air Quality Network, High Speed 2, and EU Metrology for Nitrogen Dioxide projects. Advising: Oversees five PhD students and post-doctoral fellows, focusing on environmental engineering and public health applications. Labs/Teams: Leads the Aerosol Science Team and contributes to the MRC Centre for Environment and Health.

Liz KoslovView profile

Assistant Professor

• Climate Change
• Disasters
• Environmental Justice
• +4 more

Liz Koslov is an Assistant Professor in the Department of Urban Planning and Institute of the Environment and Sustainability at UCLA’s Luskin School of Public Affairs. Her research focuses on climate change adaptation, environmental justice, and urban political ecology, with a particular emphasis on 'managed retreat' strategies in coastal zones. She holds a Ph.D. in media, culture, and communication from New York University, an MSc in culture and society from the London School of Economics, and a BA in communication, Spanish, and Latin American literature from George Washington University. Education: Ph.D., Media, Culture, and Communication (NYU) MSc, Culture and Society (LSE) BA, Communication/Spanish/Latin American Literature (GWU) Her work examines how cities respond to climate threats like sea-level rise and extreme weather, emphasizing ethical and equitable approaches to climate adaptation. Her book project, Retreat: Moving to Higher Ground in a Climate-Changed City , analyzes post-Hurricane Sandy resettlement efforts in New York City. Her research has been featured in Scientific American , The New Yorker , and other major outlets. Recent publications explore legal contradictions in climate resettlement, the psychological stress of post-disaster rebuilding, and the sociological dimensions of climate silence. Her work often bridges urban planning, environmental ethics, and ethnographic methods to advocate for socially just climate policies. Previously, Koslov served as a Mellon Postdoctoral Fellow in the Humanities at MIT. She currently advises on climate adaptation strategies and contributes to interdisciplinary discussions on urban resilience.

Adam MooreView profile

Professor

• Geopolitics
• Political Violence
• Ethnic Conflict
• +5 more

Adam Moore is a Professor in the Department of Geography at UCLA's College of Social Sciences, with a PhD from the University of Wisconsin, Madison (2010). His research examines geopolitical dynamics of conflict and peacebuilding, with expertise in military labor, ethnic conflicts, and post-war reconstruction. Research interests focus on political violence, ethnic conflict dynamics, military contracting, and peacebuilding processes, particularly in Southeast European contexts. His investigations explore how militarization shapes foreign policy and spatial organization. Publications demonstrate sustained focus on conflict geography, military logistics, and peace studies, with recent work examining spatial dimensions of peacebuilding and decolonial geopolitics. Earlier scholarship analyzed military outsourcing and ethnic territoriality. Awards: Globe Book Award for Public Understanding of Geography Julian Minghi Distinguished Book Award Advises PhD students on topics including police violence, migration, and humanitarian infrastructure. Current students include Lindsey Rogers and Irma Losada Olmos.

• Precision Agriculture
• Remote Sensing
• Soil Science
• +3 more

Dr. Patrick Filippi is a Lecturer in Precision Crop Management at the School of Life and Environmental Sciences, University of Sydney. He is affiliated with the Precision Agriculture Laboratory and the Sydney Institute of Agriculture. His work focuses on integrating remote sensing, machine learning, and geostatistics to address challenges in precision agriculture, particularly in crop yield modeling, soil mapping, and environmental monitoring. Research interests include precision agriculture technologies, soil science applications, data-driven crop management, and the use of satellite and proximal sensing for agricultural decision-making. He has contributed to projects funded by the Grains Research and Development Corporation (GRDC) and the University of Sydney, focusing on spatial variability in crop production, soil constraints, and machine learning interpretability. Key achievements include developing the LimeSoDa dataset for soil mapping and winning the 2016 CSIRO AgData Challenge Hackathon. His grants span topics like nitrogen fixation mapping in legumes and frost/heat management analytics. Filippi collaborates closely with industry to translate research into practical tools for farmers. Awards: 2nd Place CSIRO AgData Challenge Hackathon (2016) Labs: Precision Agriculture Laboratory (https://precision-agriculture.sydney.edu.au/) Grants: Includes Strategic Partnership Seeding Grants (2024), GRDC-funded projects (2022–2024), and Start-Up Research Funding (2024).

Steven P. FrenchView profile

Professor

• Natural Hazards
• Sustainable Development
• Land Use Planning
• +5 more

Steven P. French is a Professor of City & Regional Planning at Georgia Institute of Technology, affiliated with the College of Design. He has held leadership roles including Dean of the College of Design (2013–2021), Associate Dean for Research (2009–2013), and Director of the Center for Geographic Information Systems (1997–2011). His expertise spans natural hazards, sustainable development, land use planning, and GIS applications. French earned his Ph.D. in City & Regional Planning from the University of North Carolina at Chapel Hill and previously taught at California Polytechnic State University and Stanford University as a Visiting Professor. His research focuses on disaster resilience, urban sustainability, and infrastructure systems integration. He has advised over 50 Master’s students and graduated six Ph.D. students, with notable contributions to planning education and disaster risk assessment. French has led over 70 research projects, including NSF-funded studies on earthquake and flood hazards, and served as Social Science Thrust Leader for the Mid-America Earthquake Center. He is a Fellow of the American Institute of Certified Planners (FAICP). French’s work bridges interdisciplinary collaboration between planners, engineers, and scientists. His recent projects emphasize leveraging big data and GIS for urban decision-making, sustainable infrastructure design, and analyzing urban health impacts. He has authored/co-authored over 25 journal articles and four books, contributing to journals like the Journal of the American Planning Association.

Shan YuView profile

Assistant Professor

• Statistical Methodology
• Machine Learning
• Neuroimaging Analysis
• +7 more

Shan Yu is an Assistant Professor in the Department of Statistics at the University of Virginia. His research focuses on developing statistical and machine learning methods for large-scale, complex data, with applications in neuroimaging, genomics, spatial epidemiology, and health disparities. He employs advanced techniques including non/semi-parametric regression, functional data analysis, and distributed learning while emphasizing data privacy. Yu received his Ph.D. in Statistics from Iowa State University (2020), advised by Professors Lily Wang and Dan Nettleton, following a B.S. from the University of Science and Technology of China. His work bridges statistical methodology and real-world problems, addressing challenges in environmental science (e.g., nitrogen dioxide inequalities), public health (e.g., pandemic forecasting), and computational biology (e.g., genotype-environment interactions). He collaborates on tools like the GgAM R package for generalized geoadditive models and contributes to open-source projects such as fFLM for functional linear regression. Key research trends include spatially varying coefficient models, fusion learning for heterogeneous data, and integration of satellite data with environmental health studies. His publications span journals in statistics, epidemiology, and environmental science, reflecting interdisciplinary impact.

Douglas H FisherView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Computational Sustainability
• +3 more

Douglas H Fisher is an Associate Professor of Computer Science and Computer Engineering at Vanderbilt University's School of Engineering. His research focuses on artificial intelligence, particularly machine learning, and computational sustainability. He holds a Ph.D., M.S., and B.S. in Computer Science from the University of California - Irvine. His work bridges AI with societal challenges, emphasizing sustainability, education technology, and cognitive modeling. Notable areas include integrating sustainability into computing curricula, leveraging AI for peer review systems (pReview), and exploring bias mitigation in neural networks. He has contributed to foundational machine learning techniques, such as rule induction for medical data analysis and decision tree optimization. Fisher's research spans interdisciplinary applications: from geospatial water resource modeling to MOOCs' social incentives. His educational contributions include blended learning frameworks and open educational resources advocacy. He has authored over 100 publications across AI, sustainability, and education, reflecting a commitment to both technical innovation and societal impact.

• Political Science
• Development Studies
• Comparative Politics
• +7 more

Michelle D'Arcy is an Associate Professor in the Department of Political Science at Trinity College Dublin. Her research focuses on state capacity, property rights, taxation, and development in Africa and early modern Europe. She leads projects such as 'Credible Enforcement before Credible Commitment' and 'Devolution and Local Democracy in Kenya,' funded by the Swedish Research Council and the Swedish International Centre for Local Democracy. Her work explores institutional sequencing, democratic governance, and the impact of historical state structures on modern policies. Education: Details not explicitly provided in the text. Research Interests: Dr. D'Arcy investigates how historical institutional frameworks shape contemporary political and economic outcomes. Key themes include state-building, taxation systems, devolution processes, and gender dynamics in state formation. Her work bridges comparative politics, development studies, and historical analysis. Publications: Her recent work emphasizes cadastres' role in economic growth, gender in early modern state formation, and taxation in sub-Saharan Africa. These studies highlight interdisciplinary approaches, combining historical data with contemporary case studies. Awards: Trinity Creative and Visual Arts Fund Award (2020) Equality Fund Award (2018) Political Science Association of Ireland Prize for Excellence in Teaching and Learning (2016) Grants: Swedish Research Council (2014-2018), Swedish International Centre for Local Democracy (2013-2015) Dr. D'Arcy collaborates on initiatives to improve local democracy and accountability in sub-Saharan Africa, particularly in Kenya. Her research underscores the interconnectedness of historical governance structures and modern socio-economic challenges.

Stephen LeeView profile

Assistant Professor

• Computer Systems
• Cyber-Physical Systems
• Data Mining and Data Science
• +3 more

Stephen Lee is an Assistant Professor in the Department of Computer Science at the University of Pittsburgh, affiliated with Pitt Cyber. His research focuses on distributed systems, cyber-physical systems, and sustainability, emphasizing energy efficiency and cost optimization. Dr. Lee holds a PhD from the University of Massachusetts Amherst, a Master’s from Chennai Mathematical Institute, and a Bachelor’s from St. Stephen’s College, Delhi. He actively seeks students for his research group. Education: PhD, Computer Science, University of Massachusetts Amherst Master’s, Chennai Mathematical Institute Bachelor’s, St. Stephen’s College, Delhi Research Interests: Dr. Lee’s work integrates distributed systems, machine learning, and optimization to enhance sustainability. Key areas include IoT-enabled energy systems, emission-aware computing, and privacy-preserving frameworks. He leads projects like GreenWhisk (serverless emission reduction) and Sat2map (3D building modeling from satellite imagery). Recent Achievements: Best Paper Award in IEEE TPS 2024 DOE-funded Cyber Energy Center (2024) MCSI Seed Grant for Pitt building sustainability (2024) NSF Grant on sustainable distributed infrastructures (2023) Grants & Advising: Secured over $2M in grants, including NSF and DOE funding. Advises on energy-efficient systems and IoT security. Teaches CS 2510 (Operating Systems) and CS 1699 (Systems & Sustainability). Labs & Teams: Directs the Sustainable Systems Research Group, focusing on decarbonizing IT and optimizing renewable energy systems. Collaborates with industry partners on smart grid solutions and edge-cloud systems.