جست‌وجوی استاد و پژوهشگر

Robert Coulsonمشاهده پروفایل

استاد

• Forest Entomology
• Insect Ecology
• Landscape Ecology
• +۳ مورد دیگر

Robert Coulson is a Professor in the Department of Entomology at Texas A&M University, serving as Director of the Knowledge Engineering Laboratory (KEL). He holds academic appointments within the College of Agriculture & Life Sciences and is affiliated with Texas A&M AgriLife Research and Extension. His expertise spans Forest Entomology, Insect Ecology, Landscape Ecology, and Landscape-use Management. Education: B.S. Biology, Furman University M.S. Entomology, University of Georgia Ph.D. Entomology, University of Georgia Post-Doctorate, Institute of Ecology, University of Georgia Research Focus: Dr. Coulson’s transdisciplinary research addresses ecological and landscape-scale challenges, including insect impacts on forests, prairies, and urban environments. He co-founded the Knowledge Engineering Laboratory to integrate computer applications with ecological science, focusing on decision support systems for environmental management. Key areas include monarch butterfly conservation, roadkill modeling, and invasive species management (e.g., hemlock woolly adelgid). Awards & Recognition: Former Student Association Faculty Achievement Award for Research Award of Merit from Texas Forestry Association A. D. Hopkins Award (Southern Forest Insect Work Conference) J. E. Bussart Award and Fellow of Entomological Society of America Teaching & Publications: Teaches undergraduate forest protection and graduate landscape ecology courses. Authored textbooks Forest Entomology (1984) and Basic Landscape Ecology (2010). Secured $10.5M in research funding, with a Google Scholar h-index of 42 and 133 citations. Labs & Collaborations: Directs the Knowledge Engineering Laboratory (KEL), which develops computational tools for environmental problem-solving. Collaborates on projects involving GIS, ecological modeling, and conservation planning.

Erin Schliepمشاهده پروفایل

دانشیار

• Environmental Statistics
• Bayesian Statistics
• Spatial Statistics
• +۳ مورد دیگر

Erin Schliep is an Associate Professor in the Department of Statistics at North Carolina State University (NCSU), with a joint appointment as a Research Associate at Duke University. She holds a Ph.D. in Statistics from Colorado State University (2013). Her research focuses on Bayesian statistics, spatiotemporal modeling, and environmental applications, including ecological dynamics and sports analytics. Her work addresses challenges in climate change impacts, species distribution modeling, and marine conservation. Key research areas include spatiotemporal analysis of ecological systems, data fusion methods for environmental monitoring, and causal inference in spatial contexts. She has contributed to studies on lake productivity responses to climate, whale calling patterns, and NBA player performance metrics. Recent projects include NSF-funded work on modeling and uncertainty quantification in life sciences. Her publications span high-impact journals like JASA, PNAS, and Ecology, addressing topics such as marine mammal abundance estimation, algal biomass changes in lakes, and spatial causal inference for marine protected areas. She advises students and collaborates widely, exemplified by her role in the ContLimno team analyzing freshwater ecosystems. Erin’s expertise extends to methodological advancements, including hierarchical modeling, Hawkes processes, and machine learning integration. She emphasizes interdisciplinary applications, bridging statistics with ecology, environmental science, and sports analytics.

Holly Munroمشاهده پروفایل

استادیار مدعو

• Forest biometrics
• Disturbance ecology
• Forest entomology
• +۳ مورد دیگر

Holly Munro is a Senior Research Scientist (Forest Biometrics and Ecology) at the National Council for Air and Stream Improvement and serves as an Adjunct Assistant Professor in Forest Biometrics Education at the University of Georgia. She holds a Ph.D. in Forestry and Natural Resources from the University of Georgia, an M.S. in Data Science from the same institution, and a B.S. in Biology from the University of North Georgia. Her research focuses on forest biometrics, disturbance ecology, forest entomology, and the application of machine learning to ecological problems. Notable work includes developing predictive models for bark beetle outbreaks and studying the ecological impacts of invasive pests under climate change scenarios. She has contributed to interdisciplinary projects blending data science with traditional ecological methods. Munro’s publications span high-impact journals such as Forest Ecology and Management and Ecological Informatics , with a thematic focus on pest-behavior analysis, climate adaptation strategies, and forest health monitoring. Her work bridges theoretical ecology with practical management solutions for forest ecosystems. No scientific awards are explicitly listed in the provided text. Her advising and grants information is currently unavailable, though her research collaborations suggest active involvement in funded projects. She is affiliated with the Department of Forest Biometrics Education at UGA and contributes to forest management initiatives through her dual roles in academia and industry.

• Forest Ecology
• Restoration Ecology
• Forest Restoration
• +۹ مورد دیگر

Margaret Moore is a Professor in the School of Forestry at Northern Arizona University, where she conducts impactful research in forest ecology and restoration. Her work focuses on Southwestern U.S. forest systems, particularly ponderosa pine and aspen ecosystems, and integrates advanced technologies such as lidar and machine learning for ecological monitoring. Her research interests include forest restoration, tree species classification, invasive species impacts, and understory plant dynamics. She actively investigates the sustainability of Populus tremuloides regeneration and the long-term effects of restoration treatments in Pinus ponderosa forests. Her work also explores the application of eigenfeature-enhanced deep learning and handheld lidar sensors for accurate biomass measurement and species classification. The recent scholarly outputs reflect a strong trend toward integrating remote sensing and artificial intelligence with traditional ecological field studies. Her publications emphasize ecological resilience, biodiversity conservation, and sustainable forest management in the face of climate change and invasive species pressures. Scientific Awards: None explicitly mentioned in the text. Margaret Moore is actively involved in collaborative research projects, as evidenced by her co-authorship on multiple recent publications. While specific grants and advising roles are not detailed, her involvement in studies involving graduate students and postdoctoral researchers suggests active mentorship. She contributes to interdisciplinary teams focused on forest health, restoration, and technological innovation in ecology. She is associated with research networks focusing on forest ecosystems in Arizona and beyond, with strong external collaborations. Her work is cited in platforms like Scopus and Mendeley, indicating academic influence and engagement within the ecological research community.

• Combustion Engineering
• Biofuels
• High-Temperature Air Combustion (HiTAC)
• +۹ مورد دیگر

Ashwani K. Gupta is a Distinguished University Professor in the Department of Mechanical Engineering at the University of Maryland, College Park. He holds additional affiliations as Professor at the Institute of Physical Science and Technology and Affiliate Professor in the Department of Aerospace Engineering . Ph.D. (1973), D.Sc. (1986, 2013) 45+ years in combustion engineering Director of Combustion Laboratory His research spans combustion science , biofuels , high-temperature air combustion , and environmental energy systems . Key areas include distributed combustion, sulfur chemistry, CO2 utilization, and waste-to-energy conversion. His recent publications focus on thermal barrier coatings , catalytic gasification , and machine learning combustion analysis . Scientific accolades include: Fellow: AIAA, ASME, SAE, AAAS, RAeS Honorary Doctorates: University of Wisconsin-Milwaukee (2014), King Mongkut’s University (2014), University of Derby (2015) BEST PAPER AWARDS: 7 AIAA, 3 ASME ASME Soichiro Honda Medal (2018) His work on biomass-plastic synergy and supercritical CO2 extraction demonstrates practical applications in energy recovery and sustainable chemical production.

Stavros Sakellariouمشاهده پروفایل

پژوهشگر ارشد

• Wildfire Management
• Drought Monitoring
• Flood Management
• +۷ مورد دیگر

Dr. Stavros Sakellariou serves as a Research Fellow (Marie Curie) in Civil and Environmental Engineering at Brunel University London's College of Engineering, Design and Physical Sciences. His expertise centers on geospatial analysis of natural disasters, particularly wildfires and droughts, leveraging remote sensing and AI for risk management. His educational background includes: PhD in Environmental Hazards Management and Spatial Planning, University of Thessaly (2016) MSc in Geospatial Technologies (Erasmus Mundus Joint Degree), 2016 MSc in Spatial Planning & Development, University of Thessaly (2010) MEng in Spatial Planning and Regional Development, University of Thessaly (2008) Dr. Sakellariou's research integrates geographic information systems , remote sensing , and artificial intelligence to address wildfire dynamics, drought/flood modeling, and climate change impacts. His work emphasizes spatial decision support systems for disaster prevention and resilience engineering in Mediterranean ecosystems, with significant contributions to early warning frameworks and urban-wildland interface safety. Recent publications reveal a concentrated focus on wildfire risk assessment (40% of works), drought monitoring (30%), and climate adaptation modeling (20%), predominantly utilizing satellite data fusion and spatiotemporal analytics. Key innovations include optimization methods for firefighting resource deployment and vulnerability assessments of agroecosystems. His accolades include: Marie Skłodowska-Curie Postdoctoral Fellowship (FIREWISE project, 2024) 7 national/international scholarships and awards With 11.5 years of teaching experience across undergraduate and master's programs at Greek universities, he has contributed to 8 multi-partner research projects on disaster management. His service includes reviewing for 25+ journals and guest-editing special issues on natural hazards. Current work centers on the FIREWISE project's integrated framework for proactive wildfire resilience.

Lucyna Nykaمشاهده پروفایل

استاد

• Urban Flood Resilience
• Nature-Based Solutions
• Waterfront Design
• +۳ مورد دیگر

Prof. Lucyna Nyka serves as Professor and Head of the Department of Urban Architecture and Waterfront Spaces at the Faculty of Architecture, Gdańsk University of Technology. Her leadership role encompasses academic administration and research direction within this specialized department focused on climate-resilient urban design. Her research interests center on urban flood resilience , nature-based solutions , and waterfront adaptation strategies in the face of climate change. She employs advanced methodologies including GIS spatial analysis , multi-objective optimization algorithms , and comparative urban studies to develop practical frameworks for sustainable urban development. Her work bridges theoretical research with real-world implementation through numerous international projects. Recent publication trends reveal a strong focus on climate-sensitive urban environments , particularly examining the intersection of walkability and flood resilience in waterfront public spaces across the Baltic Sea Region. Her research portfolio demonstrates consistent evolution from theoretical explorations of architecture-water relationships toward actionable strategies for climate adaptation, with increasing emphasis on nature-based solutions and spatial optimization techniques since 2020. Prof. Nyka leads significant international research initiatives including the Horizon 2020 project 'SOS Climate Waterfront' (agreement 823901) and the 'Premium on the Horizon' funded initiative, both focused on improving waterfront adaptation strategies to climate change. Additional projects include 'Urban ElemenTREE' for smart green space development and the 'ENACT 15mC' initiative for neighborhood co-creation within the 15-minute city framework. Her department actively engages in practical implementation through projects like the revitalization of Potok Królewski stream on the university campus, demonstrating integration of academic research with tangible urban interventions. Current work emphasizes data-driven approaches to climate adaptation, particularly through nature-based solutions that address both flood risk and socio-economic considerations in urban planning.

• Environmental Health Engineering
• Risk Analysis
• Resilient Systems
• +۱۰ مورد دیگر

Mark Edward Borsuk is the James L. and Elizabeth M. Vincent Professor in the Department of Civil and Environmental Engineering at Duke University’s Pratt School of Engineering. He leads the Borsuk Lab, which specializes in interdisciplinary modeling of coupled social, environmental, and technical systems. His research spans climate change, ecosystem services, water resources, land use, and environmental health, using advanced methods such as Bayesian networks, agent-based modeling, game theory, and risk analysis. He co-directs the Center on Risk within Duke’s Science & Society Initiative and is an Associate of the Duke Initiative for Science & Society. B.S.E. in Civil Engineering and Operations Research, Princeton University, 1995 M.S. in Statistics and Decision Sciences, Duke University, 2001 Ph.D. in Environmental Science and Policy, Duke University, 2001 Postdoctoral Training, EAWAG (Swiss Federal Institute for Aquatic Science and Technology), Systems Analysis, Integrated Assessment, and Modelling (SIAM) Dr. Borsuk’s research focuses on integrating scientific data across disciplines to support decision-making under uncertainty. He is a leading expert in Bayesian network modeling applied to environmental and human health regulation. His work combines risk analysis, game theory, and agent-based modeling to assess climate change and environmental policy. He has developed novel frameworks for valuing ecosystem services, modeling landowner behavior, and assessing geoengineering risks. His lab emphasizes interdisciplinary collaboration, stakeholder engagement, and quantitative decision support. His recent publications reflect a strong trend toward integrating machine learning, causal inference, and spatial modeling into environmental assessment. Topics include solar radiation modification governance, land-use policy forecasting, invasive species impacts, and urban green space valuation. His work increasingly leverages big data (e.g., Zillow, remote sensing) and probabilistic programming to enhance model transparency and predictive accuracy. Chauncey Starr Distinguished Young Risk Analyst Award, Society for Risk Analysis, 2013 Early Career Research Excellence Award, International Environmental Modelling and Software Society, 2008 Earl I. Brown Outstanding Civil Engineering Faculty Award, Duke University, 2018 Best Paper, Integrated Environmental Assessment and Management Journal, 2012 Excellence in Mentoring Award, Dartmouth College Postdoctoral Association, 2010 Best Paper in Integrated Modelling, Environmental Modelling & Software Journal, 2008 Dr. Borsuk has been a principal investigator on grants from NSF, EPA, NIH, NIEHS, and USFS. He mentors a diverse group of graduate students and postdoctoral fellows, including Kim Bourne, Jon Holt, Chris Krapu, and Ryan Calder. He teaches courses such as Risk and Resilience Engineering, Engineering Economics, and Independent Study in Civil and Environmental Engineering. He is actively involved in advising and curriculum development through the Bass Connections Energy & Environment Research Team. He leads the Borsuk Lab, a dynamic research group focused on systems, risk, and decision analysis. The lab is a key contributor to the Bridge Collaborative—a partnership between Duke, The Nature Conservancy, IFPRI, and PATH—where it develops quantitative models to support cross-sectoral decision-making. The lab also investigates landowner decision-making in New England forests and the governance of solar geoengineering, using agent-based and deliberative modeling approaches.

Kevin Hughesمشاهده پروفایل

مدرس ارشد

• Fuel Combustion
• Fuel Cells
• Process Modelling in Carbon Capture and Storage (CCS)
• +۳ مورد دیگر

Kevin Hughes is a Senior Lecturer in the Energy Engineering Group at the Department of Mechanical Engineering, School of Mechanical, Aerospace and Civil Engineering, University of Sheffield. He holds a PhD and first degree in Chemistry from the University of Leicester (1987) and focuses on fuel combustion, fuel cells, and process modelling in carbon capture and storage (CCS) systems. His research combines experimental and theoretical approaches, including planar laser diagnostics, quantum chemistry, and CFD simulations. Education: PhD and BSc in Chemistry from University of Leicester. Research Interests: Fuel combustion, pollutant chemistry, PEM fuel cells, CCS process modelling, catalyst development, and combustion in supercritical CO2. Grant Projects: FP7-ENERGY-2010-2 (RELCOM), Gas-FACTS (EPSRC), EP/J020788/1, EP/M001482/1 (Selective EGR), TEABPP (Energy Technology Institute). Scientific Contributions Publications: Over 50 papers on fuel combustion mechanisms, fuel cell optimization, CCS systems, and alternative fuels. Collaborations: Regular work with M. Pourkashanian, D.B. Ingham, S. Michailos, and M.S. Ismail. Technical Expertise Chemical Kinetics Validation Quantum Chemistry Applications Gas Diffusion Layer Analysis Surrogate Fuel Development Supercritical Combustion

Tzeng Yih Lamمشاهده پروفایل

استادیار

• Forest Measurements
• Forest Sampling
• Quantitative Silviculture
• +۳ مورد دیگر

Dr. Tzeng Yih Lam serves as an Assistant Professor in the Department of Forest Resources Management at the University of British Columbia's Faculty of Forestry. His expertise lies in forest measurements, sampling methodologies, and quantitative silviculture, contributing to sustainable forest management practices through innovative biometric approaches. His educational background includes: PhD in Forest Science (2010) from Oregon State University MSc in Statistics (2009) from Oregon State University MSc in Tropical and International Forestry (2006) from Georg-August-Universität Göttingen BSc in Forestry (2001) from the University of New Brunswick Dr. Lam's research focuses on developing close-range photogrammetry tools for hard-to-measure tree attributes, designing cost-effective probability-based forest inventory systems using auxiliary information, and applying Bayesian filtering for forest growth projection. His work bridges field data collection with advanced statistical modeling to enhance timber production estimation and ecosystem service assessment. Analysis of his 15 most recent publications reveals dominant themes in innovative sampling design (particularly Critical Height Sampling and cluster/nested plots), integration of machine learning with rapid assessment techniques, and sophisticated height-diameter modeling across diverse species. His work consistently emphasizes spatial distribution mapping, LiDAR integration, and error reduction in field measurements. As an active contributor to the UBC Forest Measurements and Biometrics research group, Dr. Lam develops teaching materials for courses including Advanced Regression Analysis and Forest Measurements, advancing methodological training in forest biometrics through R workshops and practical field applications.

Jonathan Daviesمشاهده پروفایل

دانشیار

• Phylogenetic Ecology
• Applied Conservation Science
• Ecosystems and Climate Change
• +۴ مورد دیگر

Dr. Jonathan Davies is an Associate Professor at the University of British Columbia's Faculty of Forestry, with dual affiliations in the Department of Botany and Department of Forest and Conservation Sciences. His research focuses on phylogenetic ecology, integrating evolutionary biology with ecological systems to address biodiversity conservation and climate change challenges. Academic Rank: Associate Professor Departments: Botany; Forest and Conservation Sciences Research Center: Biodiversity Research Center Email: j.davies@ubc.ca Research Interests : At the intersection of ecology and evolution, Davies' work explores phylogenetic approaches to conservation science, climate change biology, and disease ecology. His lab investigates: Climate change impacts on biodiversity and disease emergence Phylogenetic dilution effects in forest pest dynamics Evolutionary patterns in plant-herbivore interactions Statistical methods for phylogenetic analysis Global biodiversity patterns and diversification rates Eco-phylogenetics of protected area effectiveness

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.

Sonja Kivinenمشاهده پروفایل

عضو هیئت علمی

• Climate change impacts on Arctic ecosystems
• Remote sensing applications in biodiversity mapping
• Geoinformatics and environmental data analysis
• +۳ مورد دیگر

Sonja Kivinen is a University Lecturer in Geoinformatics at the Department of Geographical and Historical Studies, Faculty of Social Sciences and Business Studies, University of Eastern Finland. Her research focuses on the intersection of climate change impacts, remote sensing applications, and sustainable resource management in Arctic environments. University Lecturer in Geoinformatics Department of Geographical and Historical Studies Faculty of Social Sciences and Business Studies University of Eastern Finland Research Interests Climate change effects on Arctic ecosystems Remote sensing for biodiversity mapping Environmental justice in natural resource management Post-mining land use strategies Integration of practitioner knowledge with scientific data Geospatial analysis of environmental patterns Key Publication Trends Her recent publications (2017-2024) demonstrate expertise in combining remote sensing with ecological monitoring to address issues like biodiversity conservation in boreal forests, reindeer husbandry adaptation to changing climatic conditions, and mining conflict resolution . She frequently collaborates with multidisciplinary teams across Finland and Europe. Projects Kivinen contributes to research groups including CEMMS (Research Center for Mining, Minerals and Society) and Digital Geosciences , both active since 2020. Her work often addresses policy implications through reports for the University of Eastern Finland and Finnish Environment Institute.

Kevin Blackمشاهده پروفایل

استاد

• High Energy Physics
• Elementary Particle Physics
• CMS Experiment
• +۴ مورد دیگر

Kevin Black is a Professor and Department Chair in the Department of Physics at the University of Wisconsin-Madison. His academic career includes roles as Professor at Boston University (2016–2018), and prior positions as Research Scientist and Post-Doc at Harvard University. His research focuses on high energy physics and elementary particle physics, particularly through the CMS Experiment at CERN's Large Hadron Collider. Key areas include proton-proton collisions at energy frontiers, direct searches for new particles, top quark physics, and Higgs boson studies. He has contributed to over 150 peer-reviewed publications, with recent work involving dark matter searches, Higgs self-coupling studies, and muon collider developments. Academic leadership roles include Department Chair at UW-Madison (2024–present) and Associate Chair roles at Boston University (2017–2024). His research interests span experimental particle physics with emphasis on collider-based discoveries. Recent work includes studies of jet quenching, energy-energy correlators in heavy-ion collisions, and precision measurements of the W boson mass. He collaborates extensively with the CMS Collaboration, contributing to both data analysis and detector development. Notable projects include the Muon Collider initiative, where he explores next-generation accelerator technologies. Publications reflect a focus on cutting-edge topics such as rare particle decays, LHC phenomenology, and Higgs physics. Academic leadership includes graduate program oversight and departmental administration. His work bridges theoretical predictions with experimental validation, aiming to uncover fundamental physics principles.

• Architectural Photogrammetry
• Geomatics
• Urban 3D Modeling
• +۴ مورد دیگر

Tania Landes is a Professor at the University of Strasbourg (Unistra) affiliated with the ICube Laboratory UMR 7357 CNRS/Unistra and the PAGE Group (Architectural Photogrammetry and Geomatics). Her work focuses on integrating advanced 3D modeling and geomatics techniques for urban applications. Academic Rank: Professor Institution: University of Strasbourg Research Affiliation: ICube Laboratory UMR 7357 CNRS/Unistra Research Interests : Indoor and outdoor 3D modeling with RGB-D sensors and LiDAR Semantic segmentation of point clouds for BIM (Building Information Modeling) Thermal imaging integration for urban microclimate studies Historical and cultural heritage documentation via photogrammetry Urban tree modeling and vegetation impact on thermal comfort Scan-to-BIM workflows and automation Key Projects include the TIR4sTREEt thermal infrared studies of street trees in Strasbourg and COOLTREES for quantifying urban cooling benefits from vegetation. Her publications emphasize improving 3D reconstruction workflows and modeling accuracy across domains. Scientific Contributions span 15+ years with over 50 publications, covering: Urban heat island mapping (2022 onwards) Historical building modeling (2014-2017) Mobile laser scanning applications (2020 onwards) Kinect sensor calibration for 3D modeling (2015) Microclimate simulation via LASER/F (2016) Archaeological documentation (2011)