جست‌وجوی استاد و پژوهشگر

Yves Bühlerمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Snow and Avalanche Research
• Alpine Mass Movements
• +۳ مورد دیگر

Dr. Yves Bühler is a leading researcher at the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL) , heading the Alpine Remote Sensing group within the Alpine Environment and Natural Hazards unit. His work focuses on remote sensing applications for snow and avalanche research, rock-ice avalanches, and alpine mass movement monitoring using drones, SAR satellites, and machine learning. Education: PhD in Remote Sensing (University of Zurich, 2005-2009), High-School Teaching Certification (MAS SHE, 2003-2005). Key projects: Large-scale avalanche mapping in India, drone-based snow depth monitoring, and thermomechanical modeling for hazard indication. Research Trends : Recent publications highlight advancements in machine learning for avalanche segmentation , multi-sensor displacement monitoring , and climate change integration into hazard models . His work bridges geomechanics , remote sensing technology , and operational risk mitigation across Switzerland, Himalayas, and international collaborations. Scientific Contributions : He has received a Research Fellowship at the University of Otago and led leadership programs at FHNW. His team developed RAMMS::LSHIM for large-scale hazard mapping and pioneered low-cost lidar for avalanche monitoring.

• Climate Physics
• Atmospheric Science
• Aerosol Research
• +۵ مورد دیگر

Hannes Keernik is an Associate Professor in Climate Physics at the University of Tartu's Faculty of Science and Technology, Institute of Physics, starting from September 2025. He also serves as an Analyst at Tallinn University of Technology's School of Information Technologies, Department of Software Science since November 2024, and previously worked as a Research Fellow in Climate Physics at the University of Tartu. Education: PhD in Environmental Physics, University of Tartu (2011-2015) MSc in Environmental Technology, University of Tartu (2008-2011) BSc in Environmental Technology, University of Tartu (2005-2008) Keernik's research focuses on climate physics and atmospheric science , with particular expertise in aerosol-cloud interactions, industrial pollution effects on weather systems, and climate change impacts in the Baltic region. His work combines field measurements, remote sensing data analysis, and climate modeling to investigate how anthropogenic aerosols influence cloud formation, precipitation patterns, and regional climate. He has made significant contributions to understanding how industrial emissions can trigger snowfall and alter cloud properties through complex microphysical processes. His publication record shows a strong focus on aerosol physics and climate monitoring, with recent work analyzing how anthropogenic aerosols from industrial sources glaciate liquid-water clouds, produce snow, and reduce cloud cover. He has contributed to major European collaborative projects on aerosol phenomenology and developed novel methodologies for atmospheric water vapor measurement using GNSS data. His research bridges atmospheric physics, environmental monitoring, and climate change science with practical applications for environmental policy. Professional Affiliations: Member of the International Association of Geodesy Inter-Commission Committee on 'Geodesy for Climate Research' (2024-present) Member of the GCOS Reference Upper-Air Network (GRUAN) task team on GNSS Precipitable Water (2024-present) Member of the European Geosciences Union (2013-present) Keernik actively contributes to teaching at the University of Tartu, offering courses in Environmental Physics and Advanced Atmospheric Sciences. His research has been supported by multiple European and Estonian grants, including projects with the European Commission, Estonian Research Council, and European Centre for Medium-Range Weather Forecasts. As Principal Investigator for 'Increasing the Awareness and Uptake of CAMS Products in Estonia,' he leads efforts to integrate advanced atmospheric data into Estonian environmental monitoring systems.

Robert Freiمشاهده پروفایل

استاد

• Isotope Geochemistry
• Paleoclimate Research
• Geochronology
• +۵ مورد دیگر

Robert Frei is a Professor of Geochemistry at the Department of Geosciences and Natural Resource Management, University of Copenhagen, where he has been employed since 1999. His academic journey began at ETH Zürich, where he completed his PhD in 1992, followed by postdoctoral work at the University of Bern. He joined the University of Copenhagen as Laboratory Manager in 1997 before becoming a full professor. His research focuses on applying isotope geochemistry to understand Earth's history, particularly using cadmium, chromium, and other non-traditional isotope systems as tracers of paleoenvironmental conditions. His work spans from Precambrian oxygenation events to more recent climate changes, including the Cretaceous-Paleogene boundary and Bronze Age human mobility studies. Professor Frei's publications demonstrate a clear trend toward interdisciplinary research, bridging geochemistry with archaeology, paleoclimatology, and oceanography. His recent papers show increasing focus on using multi-isotope approaches (particularly Cd-Cr systems) to unravel complex biogeochemical processes across major geological transitions. The research spans from ancient Earth history to contemporary climate issues, demonstrating remarkable versatility. His scientific recognition includes: Membership in the Royal Danish Academy of Sciences and Letters (since 2004) 396 peer-reviewed journal articles with an H-index of 79 Over 20,000 citations according to Google Scholar Professor Frei has successfully supervised 17 PhD students and 7 postdoctoral researchers. His research has been supported by substantial grants including: Independent Research Fund Denmark projects totaling over DKK 14 million Carlsberg Foundation grants exceeding DKK 7 million European Commission Marie Skłodowska-Curie Actions funding (Euro 3.75 million) Co-founding the Nordic Center for Earth Evolution (NordCEE) with DKK 88 million funding He leads research in the Danish Center for Isotope Geology, operating advanced facilities including LA-ICP-MS and TIMS instruments. His international collaborations span Europe, North America, and South America, reflecting the global nature of his research on Earth's geochemical evolution.

• Sustainability Science
• Socio-ecological Systems
• Ecology
• +۱۱ مورد دیگر

Jussi Eronen is a Professor of Socio-ecological Systems at the University of Helsinki , affiliated with the Faculty of Biological and Environmental Sciences and the Ecosystems and Environment Research Programme . He also serves as Vice-Dean for Societal Interaction and maintains an external affiliation with the BIOS Research Unit . His research focuses on three main areas: (1) long-term biotic interaction changes due to human influence, (2) socio-ecological system analysis in Northern Fennoscandia, and (3) policy path-dependencies affecting sustainability transitions. The Past Present Sustainability Research Unit (PAES) he leads employs transdisciplinary approaches combining natural science perspectives with social science collaborations. Recent work examines reindeer herding futures using wild logic scenarios, policy implementation challenges in forest industries, and cultural transmission patterns through string figure analysis. His publications span journals like Journal of Land Use Science , Anthropocene Review , and Ecological Economics , reflecting his integrative approach to sustainability science. Current projects include EU-funded research on regional sustainability pathways (2023-2025) and Academy of Finland initiatives for university profiling (2025-2030). He maintains active roles in scientific networks like the Scientific Consensus on Maintaining Humanity's Life Support Systems .

Weibing Gongمشاهده پروفایل

استادیار

• Climate change-related hazards
• Seismic hazards
• Infrastructure resilience against natural hazards
• +۳ مورد دیگر

Weibing Gong is an Assistant Professor of Geological Engineering in the Department of Geosciences and Geological and Petroleum Engineering at Missouri University of Science and Technology (Missouri S&T), affiliated with the Center for Intelligent Infrastructure in Rolla, Missouri. His educational background includes: Ph.D. in Geosystems Engineering, University of California, Berkeley (2023) M.S. in Geotechnical Engineering, Tongji University (2018) B.S. in Civil Engineering, Central South University (2015) Dr. Gong's research centers on natural hazard mitigation , with emphasis on climate change impacts , seismic resilience , and AI-driven infrastructure monitoring . His work integrates remote sensing and machine learning to enhance geological engineering solutions, particularly for landslide prediction and pavement systems, while exploring emerging applications in carbon capture technologies. Analysis of his 2023-2025 publications reveals a pronounced shift toward physics-informed AI for geotechnical challenges, featuring recurrent themes in regional landslide modeling (especially in Puerto Rico and Greece), dynamic pavement response under traffic loads, and unsaturated soil mechanics . This interdisciplinary approach bridges computational science, civil engineering, and environmental systems through advanced numerical frameworks. Dr. Gong actively contributes to Missouri S&T's Center for Intelligent Infrastructure, focusing on developing next-generation methodologies for infrastructure resilience against natural hazards through computational innovation and field-based validation.

• Geo-AI (Geospatial Artificial Intelligence)
• XR (Extended Reality)
• Machine Learning
• +۶ مورد دیگر

Dr. Abolghasem Sadeghi-Niaraki is an Associate Professor in the Department of Computer Science and Engineering at Sejong University's College of Engineering, where he has served since 2017. He leads the eXtended Reality (XR) Research Center and holds a Research Professor position at the Super-Realistic XR Technology Research Center (2022-2030). Previously, he was an Assistant Professor at INHA University's Department of Geo-Informatics Engineering (2009-2017). Recently appointed as a Fellow at Harvard University's Spatial Data Lab (SDL), he conducts collaborative research in spatiotemporal data analytics and geo-AI. Dr. Sadeghi-Niaraki's research spans Geo-AI, XR technologies, Machine Learning, Metaverse applications, and IoT. His work focuses on applying AI to geospatial problems, developing immersive technologies for education and cultural heritage, and creating predictive models for natural hazards. He has secured significant funding for XR Metaverse research from the Ministry of Science and ICT, focusing on Real-Virtual integration. His interdisciplinary approach combines computer science with environmental science, urban planning, healthcare, and education. His research portfolio demonstrates strong trends in geospatial AI applications for environmental monitoring, particularly in natural hazard prediction (floods, wildfires, earthquakes), as well as innovative educational applications of VR/AR. Recent work shows increasing integration of large language models with immersive technologies and a growing focus on healthcare applications within virtual environments. Dr. Sadeghi-Niaraki has received significant recognition including: Top 2% Scientist Worldwide (Stanford-Elsevier 2024) Fellow at Harvard SDL, Center for Geographic Analysis Australian Endeavour Fellowship Recipient Member of IEEE & AAG (American Association of Geographers) He has led over $9.3 million in research funding, supervised 40+ Master's and 6+ Ph.D. students, and collaborated with 14 universities across 8 countries in immersive technology development. His laboratory work centers on the eXtended Reality Research Center at Sejong University, where his team develops patented methods for context-aware AR/VR systems applied to tourism, cultural heritage, and smart city planning.

• Paleoclimatology
• Climate Modeling
• Hydrology
• +۳ مورد دیگر

William Rush is an Assistant Professor in the Environmental Studies and Sciences Department at Santa Clara University, where he conducts research in paleoclimatology and climate modeling. His work focuses on understanding past climate dynamics through Earth system simulations and geological data analysis, with particular emphasis on extreme climate events and their hydrological implications. Dr. Rush's primary research interests include paleoclimate modeling of atmospheric rivers, hydrologic cycle responses during hyperthermal events like the Paleocene-Eocene Thermal Maximum (PETM), and regional climate change impacts. He integrates high-resolution climate model outputs with sedimentological and geochemical records to reconstruct past climate states, examining mechanisms of extreme precipitation, coastal hydroclimate shifts, and long-term climate transitions across geological boundaries. Analysis of his recent publications reveals consistent focus on PETM and Last Glacial Maximum simulations using models like CESM2. Key trends include atmospheric river behavior under altered climate states, model-data comparisons for paleoclimate validation, and applications of paleoclimate insights to contemporary flood risk assessment. His work demonstrates strong integration of cyclostratigraphy, astrochronology, and regional hydrologic modeling to address fundamental questions about climate sensitivity during past warming events.

• Remote Sensing
• Environmental Engineering
• Machine Learning
• +۳ مورد دیگر

Foad Brakhasi is a Research Fellow in the Department of Civil & Environmental Engineering at Monash University. His work focuses on advancing remote sensing techniques for environmental monitoring, particularly in soil moisture estimation and vegetation analysis using satellite data. He specializes in integrating machine learning algorithms with multi-sensor observations (e.g., SAR, optical, L/P-band radiometry) to address challenges in hydrology, agriculture, and climate science. His research contributes to UN Sustainable Development Goals related to climate action and sustainable agriculture. Key collaborations involve international teams from institutions such as the University of Melbourne and international space agencies. His recent publications (2022–2025) emphasize innovations in radar remote sensing and soil-vegetation interaction modeling. No scientific awards are explicitly mentioned, but his work has gained attention with citations in peer-reviewed journals like Advances in Space Research and Remote Sensing of Environment .

Jon Pelletierمشاهده پروفایل

استاد

• Geomorphology
• Landform Evolution
• Surface Processes
• +۱۲ مورد دیگر

Jon Pelletier is a Professor in the Department of Geosciences at the University of Arizona, College of Science. His research centers on geomorphology, focusing on how landforms are shaped by rivers, glaciers, wind, and climate. He integrates computer modeling with field and remote-sensing data to understand surface processes and their feedbacks with fluid flows. Institution: University of Arizona School: College of Science Department: Department of Geosciences Academic Rank: Professor Email: jdpellet@email.arizona.edu Office: Gould-Simpson Building 360 Dr. Pelletier’s research interests span geomorphology, surface processes, critical zone science, and planetary landforms. He investigates how fluid dynamics shape Earth’s surface through fluvial, aeolian, and glacial processes. His work emphasizes numerical modeling, landscape evolution, soil formation, and the interaction between climate, tectonics, and topography. He also explores applications to Mars and other planetary bodies. His recent publications reveal a strong focus on drainage networks, soil-landscape coevolution, aeolian dynamics, critical zone architecture, and modeling of Earth and planetary surfaces. Key themes include the role of aspect and insolation in weathering, post-wildfire erosion, hillslope hydrology, and the calibration of land surface models. His work often bridges field observations with computational simulations. Dr. Pelletier has contributed to major modeling frameworks such as the Community Land Model and has led or participated in large-scale experimental projects like the Landscape Evolution Observatory at Biosphere 2. His research integrates hydrology, biogeochemistry, and ecology in understanding Earth surface dynamics. He teaches courses in geomorphology, including Geos 450/550: Introduction to Geomorphology, and mentors students in surface process research. His laboratory supports modeling and data analysis for geomorphic applications.

• Ecology
• Global Change Ecology
• Biogeography
• +۶ مورد دیگر

Dr. Frederik Saltre is a Senior Lecturer in Ecology and Biogeography at the University of Technology Sydney and a Research Scientist at the Australian Museum . He leads the Biogeography, Ecology & Modelling (BEAM) Lab and serves as Chief Investigator in the ARC Centre of Excellence for Indigenous and Environmental Histories and Futures. His career spans institutions including Flinders University (2017–2024), University of Adelaide (2013–2017), and Oregon State University (2011–2013). Education: PhD in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2010) MSc in Biology Geosciences Agro-resources and Environment, University Montpellier 2 (2006) BSc in Biology of Organisms, University Montpellier 2 (2004) Research Interests: Dr. Saltre specializes in global change ecology , paleoecological modeling , and species distribution dynamics . His work integrates stochastic demographic models , biomechanical constraints , and machine learning to study species responses to climate change, extinction mechanisms, and human-environment interactions. Key methodologies include process-explicit models , trophic network analysis , and radiocarbon calibration techniques . Publications & Tools: With over 50 peer-reviewed articles, his research spans megafauna extinction cascades , monsoon dynamics , and environmental watering strategies . He co-developed the R package Rextinct for extinction time estimation and CRIWM algorithm for radiocarbon chronologies. Scientific Awards: Visiting Scholarship, University of Colorado Boulder (2019) Environment Institute Grant, University of Adelaide (2014) Biogeography Society Travel Grant (2013) Assistant Professor Fellowship, France (2010) Supervision: Current: 8 PhD/Honours students Past: 2 MSc/Honours students Leadership: Coordinator, Global Ecology Laboratory Member, Weisbecker Lab Grant Reviewer: NSF, ERC, SNF, BES

Deqiang Maoمشاهده پروفایل

استاد

• Hydrogeology
• Hydrogeophysics
• Inverse Modeling
• +۳ مورد دیگر

Deqiang Mao is a Professor of Hydrogeology at the Department of Hydraulic Engineering, School of Civil Engineering, Shandong University, Jinan, China. He holds a PhD in Hydrology from The University of Arizona (2012), with prior academic appointments at New Mexico Institute of Mining and Technology (Assistant Professor, 2016-2017) and postdoctoral positions at Colorado School of Mines and The University of Arizona. His research focuses on hydrogeophysics, inverse modeling, and groundwater system characterization. Education: PhD (The University of Arizona), MS (China University of Geosciences), BS (China University of Mining and Technology) His work integrates geophysical methods like induced polarization and resistivity tomography with hydrological modeling to solve subsurface characterization challenges, including contaminant transport, coal seam fires, and aquifer heterogeneity. He actively collaborates with international researchers and serves on AGU committees for hydrogeophysics and groundwater. As a reviewer for major journals, he emphasizes quantitative approaches in hydrogeology and geophysics. Deqiang Mao's research has driven innovations in bioelectrochemical remediation of hydrocarbon-contaminated soils, time-domain induced polarization tomography, and high-performance computing applications in subsurface hydrology. He has co-authored numerous peer-reviewed articles in Geophysics , Water Resources Research , and Journal of Hydrology , advancing field and laboratory techniques for groundwater monitoring. He maintains an open research group at Shandong University, seeking students with quantitative backgrounds in hydrogeology or geophysics. His work bridges theoretical developments in inverse modeling with practical applications in mining hydrology, contaminant remediation, and geophysical survey optimization.

Geir Hestmarkمشاهده پروفایل

استاد

• Ecology
• Evolution
• Landscape ecology
• +۱۱ مورد دیگر

Geir Hestmark is a Professor at the Centre for Ecological and Evolutionary Synthesis (University of Oslo), holding a Dr. scient. in Biology and Magister Artium in Philosophy . His work bridges ecology , lichenology , and history of science , with particular focus on Ice Age discovery , high-altitude biology , and conservation . He has received the Fægri Prize 2023 and the Freedom of Speech Honors Price (2000). As a Fellow of the Norwegian Academy of Science and Letters and leader of its history/philosophy group, he contributes to interdisciplinary scholarship. His recent publications analyze glacial landforms , lichen symbiosis , and historical climate data . Collaborations span Europe , North America , and South America , reflecting his transnational approach to research. Key teaching courses include General Ecology and Evolutionary Systematics , with a focus on fungi. Major awards: Fægri Prize 2023 Fritt Ords Honnørpris (2000) Fellow, Norwegian Academy of Science and Letters Recent research trends: Ice Age historical narratives Lichen reproductive strategies Climate data reanalysis Geological heritage sites

• Geophysics
• Seismic Wave Propagation
• Finite Element Method
• +۴ مورد دیگر

Prof. W.A. Mulder is a Professor in the Department of Applied Geophysics and Petrophysics at Delft University of Technology's Faculty of Civil Engineering and Geosciences. He maintains a concurrent external position at Shell Global Solutions B.V. since 1989. His primary affiliations involve advanced research in computational geophysics and seismic methodologies. Research Focus: Mulder specializes in developing numerical techniques for seismic wave analysis, with emphasis on: Full-waveform inversion for subsurface characterization Uncertainty quantification in geophysical models Finite element methods for wave propagation Elastic wave theory and scattering analysis High-performance computing applications in seismology His recent publications (2024-2025) demonstrate consistent focus on enhancing seismic inversion accuracy through novel computational approaches, particularly in target-oriented imaging and dimensionality reduction techniques. Awards: Velocity analysis with multiples - NMO modeling for layered velocity structures (2008) He has supervised 7 graduate students and contributes to academic discourse through conference presentations and editorial work for journals like Computational Geosciences .

• Artificial Intelligence and Optimization
• Energy Transition and Sustainability
• Renewable Energy
• +۱ مورد دیگر

Dr. Amir Gharavi serves as a Lecturer (Teaching) in Energy and Data Analytics at University College London's Bartlett School of Environment, Energy, and Resources (BSEER), where he also directs the Energy System Data Analytics (ESDA) program. His academic journey spans petroleum engineering and data science, reflecting his interdisciplinary expertise. Education: PhD in Artificial Intelligence applications for oil reservoirs (University of Portsmouth) MSc in Petroleum Engineering BSc in Petroleum Engineering BSc in Genetics Dr. Gharavi's research bridges traditional energy systems with cutting-edge data analytics, focusing on four interconnected domains: Artificial Intelligence (deep learning for predictive modeling and evolutionary computation), Energy Transition (low-carbon strategies and socio-economic impacts), Renewable Energy (grid integration and lifecycle analysis), and Petroleum Reservoirs (AI-enhanced characterization and enhanced recovery techniques). His work demonstrates how machine learning transforms both conventional and renewable energy sectors. His publication portfolio reveals a clear trajectory from petroleum reservoir analytics toward broader energy system applications, with recent 2024 works expanding into collision avoidance systems - indicating strategic diversification into AI safety applications while maintaining core energy focus. This evolution showcases his ability to transfer domain expertise across technical contexts. As an educator, Dr. Gharavi leads the Energy Data Analytics and Advanced Machine Learning modules, leveraging industry experience from Halliburton and Baker Hughes to create practice-oriented curricula. His multidisciplinary background enables unique pedagogical approaches that connect petroleum engineering fundamentals with contemporary data science techniques. Dr. Gharavi maintains active industry connections through his previous roles as Data Scientist at major energy firms, though current lab affiliations aren't specified in available materials. His research direction suggests growing emphasis on AI applications for energy transition challenges, particularly in system optimization and sustainability metrics.

• Marine Biogeochemistry
• Gas Hydrates
• Thermo-Hydro-Chemo-Mechanical (THCM) Couplings
• +۷ مورد دیگر

Christian Deusner is a Scientist in the Research Division of Marine Biogeochemistry at GEOMAR Helmholtz Center for Ocean Research Kiel, affiliated with the Research Unit Marine Geosystems. He has been active in this role since 2009, following postdoctoral work at the Max Planck Institute for Marine Microbiology and a PhD at the UFZ Centre for Environmental Research. PhD, Environmental Microbiology, UFZ Centre for Environmental Research Leipzig-Halle (1999–2003) Postdoc, Biogeochemistry and Microbiology, Max Planck Institute for Marine Microbiology (2004–2010) Scientist, Marine Biogeochemistry, GEOMAR (2009–present) His research centers on the experimental and numerical simulation of biogeochemical and geomechanical processes in marine sediments, especially under high-pressure conditions. Key interests include gas hydrate systems, thermo-hydro-chemo-mechanical (THCM) couplings, microbial metabolism under anoxia, and diagenetic processes. His work integrates laboratory experiments with field data and modeling to understand sediment behavior relevant to energy resources and carbon storage. His recent publications (2019–2025) reflect a strong focus on gas hydrate dynamics, particularly CH4-CO2 exchange for methane recovery and CO2 sequestration, mechanical properties of hydrate-bearing sediments, and monitoring techniques for carbon storage sites. The studies employ experimental setups, numerical modeling, and field data from regions like the Black Sea and Baltic Sea, demonstrating interdisciplinary approaches across geochemistry, geomechanics, and environmental engineering. Christian Deusner has contributed to numerous scientific projects and collaborative initiatives, including SUGAR and STEMM-CCS, and has presented at major international conferences. He co-holds a patent on deep-sea sediment stabilization and has developed advanced high-pressure experimental systems for hydrate research. He has supervised or collaborated on multiple research efforts, particularly through joint publications and project reports, though no formal advisees are listed. His work has significant implications for offshore carbon storage, methane hydrate exploitation, and understanding marine biogeochemical cycles.