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Patrick HuberView profile

Professor

• Condensed Matter Physics
• Materials Science
• Nanoporous Materials
• +6 more

Prof. Dr. Patrick Huber is a leading physicist and Institute Director at the Hamburg University of Technology (TUHH) , heading the Institute for Materials and X-Ray Physics (M-2) . He also leads the High-Resolution X-Ray Analytics of Materials group at DESY through a cooperative professorship. His research spans condensed matter physics , nanoporous materials , and X-ray analytics , with significant contributions to molecular water science and soft matter in confinement . Education: PhD in Physics (1999, Saarland University), Diploma in Physics (1995, Saarland University) Professional Career: Full Professor at TUHH (2020-present), Member of CRC 1615 (2023-present), Spokesperson for CMWS (2024-present), Cluster of Excellence BlueMat (2025) Research Interests focus on multi-scale material behavior under extreme confinement, particularly hierarchical porous silicon and silica systems . His work examines adsorption-induced deformation , elastocapillarity , fluid transport in nanopores, and metamaterial design principles using electrolytes , polymers , and liquid crystals . Fundamental studies include fluid interface thermodynamics and microscopic hydrodynamics . Scientific Awards include the Top Reviewer Award (2018) from Applied Physics Letters and the Dr.-Eduard-Martin Award (2000) for his dissertation. He contributes to 130+ publications with an h-index of 36 (2021). Advising and Grants involve supervising 18 doctoral and master's students , including Manuel Brinker , Marc Thelen , and Stella Gries . He participates in Collaborative Research Centre CRC 1615 , Cluster of Excellence EXC 3120 BlueMat , and the United Nations University Hub on Climate Engineering . Laboratory and Teams include the Institute for Materials and X-Ray Physics (M-2) at TUHH, the High-Resolution X-Ray Analytics group at DESY, and contributions to the Centre for Hybrid Nanostructures (CHyN) .

Sujan PalView profile

Researcher

• Hydrometeorology
• Hydroclimatology
• Land-Atmosphere Interactions
• +4 more

Sujan Pal is a Hydroclimate Scientist at Argonne National Laboratory , focusing on hydrometeorology, hydroclimatology, and land-atmosphere interactions through numerical modeling and field experiments. He serves as an associate mentor for multiple observational systems in the Atmospheric Radiation Measurement (ARM) user facility and monitors environmental data at Argonne Testbed for Multiscale Observational Science (ATMOS). Ph.D., University of Illinois at Urbana-Champaign (2017-2021) M.S., The University of Arizona (2015-2017) B.E., Jadavpur University (2010-2014) His research spans hydrometeorological modeling, urban climate impacts, and machine learning applications in environmental science. He leads high-resolution flood simulations and contributes to the DOE-funded CROCUS project studying urban climate change in Chicago. Recent publications highlight his work on convection-permitting climate modeling, extreme rainfall dynamics, and flood risk assessment across South America, the U.S. Northeast, and Argentina. His methodologies integrate field data with advanced computational tools. ARM Service Award 2025 Argonne Commercialization Excellence Award 2024 Argonne IMPACT Awards (2024, 2023, 2022) He actively collaborates with national user facilities and contributes to spatiotemporal modeling of water-related hazards as an Associate Editor for Frontiers in Water .

Mike WillisView profile

Associate Professor

• Cryospheric Science
• Geodesy
• Remote Sensing
• +3 more

Mike Willis is an Associate Professor of Cryospheric Science, Geodesy & Remote Sensing at the Department of Geosciences, Virginia Tech's College of Science. His research focuses on advancing remote sensing techniques to study Earth's cryosphere, coastal environments, and natural hazards. He leads projects on glacial dynamics, sea level rise impacts, landslide monitoring, and the application of GNSS and InSAR technologies. His work combines field instrumentation (e.g., OrangePi-GNSS systems) with satellite data analysis to address climate and geohazard challenges in polar regions and coastal communities. Education background: Not explicitly stated in provided text. Research interests include cryospheric science, geodetic monitoring, and environmental remote sensing applications. His lab group maintains a dedicated website at https://sites.google.com/view/4datvt/ . Key research themes include: Glacier and ice shelf mass balance Coastal vulnerability to sea level rise Disaster monitoring using GNSS-IR and InSAR High-resolution digital terrain modeling Recent projects highlight work in Greenland (landslide monitoring, sea level measurements), the Pacific Northwest (subduction zone hazards), and the Dominican Republic (coastal inundation modeling). His interdisciplinary approach bridges geophysical observations with computational geospatial analysis.

Matthew BrookhouseView profile

Senior Lecturer

• Plant physiology
• Sub-alpine ecology
• Dendrochronology
• +2 more

Dr. Matthew Brookhouse is a Senior Lecturer at the Fenner School of Environment & Society, part of the Australian National University's Institute for Climate, Energy & Disaster Solutions. With a PhD in Dendroclimatology from ANU, he specializes in using forest structural complexity and tree-ring analysis to understand climate interactions and ecological responses in Australian subalpine environments. Research Focus: Sub-alpine ecology, Dendrochronology, CO2 responsiveness in eucalypt species Teaching: First-year research methods with emphasis on statistical application, advanced modeling and field botany Projects: Leading collaborative snow-gum dieback research and dendrochronological monitoring initiatives His publications span 2006-2025 with recent emphasis on machine learning applications for forest monitoring, tropical tree-ring chronologies for climate change, and climate sensitivity in Australian alpine ecosystems. Key collaborations include institutions like Australian Nuclear Science and Technology Organisation and University of Canberra researchers. Current projects focus on snow-gum woodland dieback mechanisms, high-resolution dendrometric monitoring, and integrating dendrochronology with environmental policy frameworks. He maintains active supervision of research students and contributes to both undergraduate and postgraduate curriculum development.

Jan Dirk WegnerView profile

Associate Professor

• Machine Learning
• Computer Vision
• Remote Sensing
• +7 more

Jan Dirk Wegner is an Associate Professor at the University of Zurich, holding the chair in 'Data Science for Sciences' and leading the EcoVision Lab. He previously served as a Postdoc (2012–2016) and senior scientist (2017–2020) at ETH Zurich's Photogrammetry and Remote Sensing Group, following his PhD (with distinction) from Leibniz University Hannover (2011). His research bridges machine learning, computer vision, and remote sensing to address environmental and geoscience challenges, focusing on large-scale environmental data analysis, vegetation monitoring, and climate change mitigation. Education: PhD (with distinction) in Geodesy, Leibniz University Hannover (2011) Postdoc, ETH Zurich (2012–2016) Senior Scientist, ETH Zurich (2017–2020) Research Interests: Machine Learning, Computer Vision, Remote Sensing, Environmental Science, Climate Science, Geosciences, Explainable AI, Uncertainty Quantification, and Applications in Sustainability. The EcoVision Lab develops data-driven methods for global-scale environmental monitoring, including vegetation parameter mapping, flood prediction, forest degradation detection, and AI-driven ecological modeling. Awards: ETH Postdoctoral Fellowship (2012–2016) Science Prize of the German Geodetic Commission WEF Young Scientist Class 2020 (Top 25 globally under 40) Advising & Leadership: Director of the University of Zurich's Doctoral School in Data Science, leading the EcoVision Lab, and coordinating the CVPR EarthVision Workshops. His roles include Vice President of ISPRS Technical Commission II, member of the ETH AI Center, ELLIS, and UN-ETH Partnership. Labs/Teams: EcoVision Lab focuses on interdisciplinary AI applications for environmental challenges, collaborating with NGOs, governments, and industry to translate research into societal impact.

Matt PritchardView profile

Professor

• Volcanology
• Geodesy
• Remote Sensing
• +4 more

Prof. Matt Pritchard is a Professor in Earth & Atmospheric Sciences at Cornell University, based at Snee Hall. His research focuses on volcanology, geodesy, and remote sensing, with a particular emphasis on using satellite data to monitor volcanic activity, deformation, and glacial interactions. He leads studies on global volcanic systems, including Indonesia's Semeru and Raung volcanoes, Chile's Cordón Caulle, and Bolivia's Uturuncu, applying techniques like InSAR, SAR, and thermal imaging. Key research interests include volcanic eruption dynamics, magma-hydrothermal systems, and the integration of multi-sensor datasets. He has contributed to developing tools like Hotspotter for automated volcanic thermal feature detection and has explored planetary volcanism (e.g., Venus). His work bridges geophysics, glaciology, and computational methods, addressing both Earth and extraterrestrial systems. Prof. Pritchard has received recognition such as the William Bowie Lecture (2022, 2023). His projects often involve international collaborations, including the CEOS Volcano Demonstrator initiative and the EarthDEM/ArcitcDEM projects. He also engages in geothermal energy research and seismic monitoring in Ithaca, NY.

Mark AbbottView profile

Professor

• Climate Change
• Paleoclimatology
• Environmental Science
• +3 more

Mark Abbott is a Professor at the University of Pittsburgh, specializing in paleoclimatology and environmental science. He holds a PhD from the University of Minnesota (1997) and conducted postdoctoral research at the University of Massachusetts. His research integrates stratigraphy, geochemistry, and isotopic analysis to study climate change impacts on human societies and environmental systems. Abbott leads projects recovering lake sediment cores to document Holocene climate variability, focusing on annual-resolution records for temperature and drought reconstructions. He has authored over 50 peer-reviewed articles, with recent work emphasizing monsoon dynamics, Arctic mercury deposition, and tropical Andean glacial retreat. His fieldwork spans North America, South America, and Asia, including collaborative projects in Alaska, Peru, and India. Education: PhD in Geology (Minnesota, 1997), MS (Colorado, 1991), BA in Biology (Colorado, 1987) Postdoctoral Training: Climate System Research Center (UMass) Research interests include reconstructing past environmental changes via lacustrine archives, with emphasis on human-environment interactions. His lab analyzes stable isotopes, organic biomarkers, and sedimentology to address critical climate questions. Recent studies highlight climate-vegetation-fire linkages in the Pacific Northwest and Holocene lake-level changes in Canada/Yunnan. Recent articles focus on decadal-to-millennial climate shifts in mountain regions, Arctic permafrost dynamics, and anthropogenic impacts on lake ecosystems. Abbott’s work is supported by grants from NOAA and the NSF, with field sites in the Canadian Rockies, Himalayas, and Alaskan Arctic.

Patrick KastnerView profile

Assistant Professor

• Environmental Performance Simulation
• Urban Decarbonization
• Machine Learning
• +4 more

Patrick Kastner is an Assistant Professor at the School of Architecture and holds an adjunct appointment at the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech. He directs the Sustainable Urban Systems Lab, focusing on environmental performance simulation and urban decarbonization. His work emphasizes software tools for sustainable urban decision-making, such as Eddy3D, a microclimate modeling toolkit widely adopted in academia and practice. Education: Ph.D. and M.S. in Systems Science and Engineering, Cornell University (2022, 2021) M.S. in Sustainable Building Science, Technical University of Munich (2017) B.S. in Energy Engineering, University of Erlangen–Nuremberg (2012) Research Interests: Environmental performance simulation, urban decarbonization, machine learning applications in urban systems, spatial analysis, and software development for sustainability. His work integrates computational fluid dynamics (CFD), surrogate modeling, and data-driven approaches to address urban climate challenges. Key Projects: Leads the Vertically Integrated Project SMUR (Surrogate Modeling for Urban Regeneration), fostering interdisciplinary collaboration across Georgia Tech. Developed Eddy3D, which streamlines microclimate simulations for architects and urban planners. Grants & Advising: Engages students from sophomore to graduate levels in sustainability research. Teaches at Cornell and UPenn previously. Advises on projects blending engineering, urban design, and climate science. Labs & Teams: Director of the Sustainable Urban Systems Lab, focusing on software tools for sustainable urban transformation. Collaborates with industry partners and global institutions on decarbonization strategies.

Jacinta C. BeehnerView profile

Associate Professor

• Primatology
• Evolutionary Biology
• Sexual Conflict Theory
• +3 more

Dr. Jacinta C. Beehner is an Associate Professor in the Department of Anthropology & Psychology at the University of Michigan. Her research focuses on sexual conflict theory, reproductive strategies in primates, and the physiological and behavioral mechanisms underlying these dynamics. She directs the Core Assay Facility/Beehner Endocrine Laboratory and co-directs the Simien Mountains Gelada Research Project, Capuchins at Taboga, and the Evolution and Human Adaptations Program. Her work examines non-human primates like geladas, capuchins, and baboons in natural African and American habitats. Key themes include infanticide avoidance, hormonal responses to environmental stress, and the evolutionary implications of reproductive trade-offs. Recent studies highlight the impact of climate change on primate health, the role of social status in parasite resistance, and hormonal adaptations to high-altitude environments. Beehner has contributed to over 60 peer-reviewed articles since 2015, spanning topics from primate social networks to genomic adaptations. Her fieldwork emphasizes integrative methods combining endocrinology, genetics, and behavioral observation. She has presented at international forums like the National Geographic Explorer’s Festival and collaborates across disciplines to advance primate conservation and evolutionary biology.

Sally GibsonView profile

Researcher

• Geochemistry
• Volatiles cycling in Earth's mantle
• Mantle and volcanic processes
• +3 more

Sally Gibson is a researcher at the Department of Earth Sciences, University of Cambridge, specializing in mantle geodynamics and volatile cycling processes. Her work integrates field observations, geochemical analysis, and numerical modeling to investigate how deep Earth processes influence surface environments over 3.5 billion years of planetary evolution. Research focuses on volatile cycling (CO₂, H₂O, F, Cl, S) in mantle systems Key projects include mantle plume-ridge interactions with collaborators in the US and Ecuador Operates a LA-ICP-MS laboratory for high-resolution geochemical analyses Supervises PhD students in petrology, geochemistry, and numerical modeling Her research addresses fundamental questions about Earth's habitability through studies of mantle-derived volatiles critical for climate regulation and energy transition metal deposits. Fieldwork in remote regions like Antarctica, Lesotho, and the Galápagos Islands provides empirical data for her interdisciplinary approach. Recent publications highlight her expertise in mantle xenolith analysis, plume dynamics, and volatile quantification in large igneous provinces. Her group's work combines 3He/4He isotopic analysis with seismic tomography to constrain lithospheric evolution and mineral deposit formation. Students under her supervision develop expertise in petrology and geochemical modeling while engaging with environmental and societal impacts of geological research. She actively promotes scientific outreach and community engagement, fostering connections between academia and broader society.

Daniel VaronView profile

Assistant Professor

• Atmospheric Science
• Environmental Science
• Satellite Remote Sensing
• +3 more

Daniel Varon is the Boeing Assistant Professor in Aeronautics and Astronautics at MIT, joining in July 2025. He is also affiliated with the MIT Institute for Data, Systems, and Society (IDSS). His research focuses on atmospheric composition, satellite remote sensing of greenhouse gases, and air pollution. Varon holds a PhD in Atmospheric Chemistry from Harvard University (2020), an MSc in Applied Mathematics, and dual undergraduate degrees in English Literature and Physics from McGill University. He has held postdoctoral roles at Harvard and Princeton University. His work uses satellite data to quantify methane and nitrogen oxide emissions, with applications in climate policy and environmental monitoring. Notable contributions include developing methods for detecting methane super-emitters via hyperspectral satellites and quantifying emissions from oil/gas fields. Varon has received over 3,000 citations and an h-index of 24 as of 2025, with extensive media coverage for his Nord Stream pipeline leak analysis. Varon has secured grants totaling $785K, including NOAA funding for geostationary satellite methane monitoring. He mentors postdocs and graduate students in satellite data analysis and machine learning applications. His teaching includes Harvard’s Atmospheric Chemistry course, where he received the Harvard Certificate of Distinction in Teaching. Varon serves as an Associate Editor for Atmospheric Measurement Techniques and contributes to initiatives like the Methane Emissions Detection Using Satellites Assessment (MEDUSA) Advisory Board. His lab focuses on integrating machine learning with satellite data to advance climate science.

Neal DriscollView profile

Professor

• Tectonic Deformation
• Marine Geology
• Geohazards
• +3 more

Neal Driscoll is a Professor of Geology and Geophysics at the Geosciences Research Division, Scripps Institution of Oceanography, UC San Diego. He specializes in tectonic deformation, landscape evolution, and seafloor imaging, with a focus on understanding Earth's processes through sediment records. Driscoll co-directs UC San Diego’s Center for Public Preparedness (CP2) and leads ALERTCalifornia, a critical infrastructure network monitoring wildfires, floods, and earthquakes via over 1,000 cameras. His work bridges geohazard mitigation, climate impacts, and disaster response. Education: B.S., Geology, University of New Hampshire M.S., Oceanography, University of Rhode Island Ph.D., Columbia University (Lamont-Doherty Earth Observatory) Research Interests: Driscoll investigates tectonic deformation’s role in shaping landscapes and seascapes, particularly in response to climate and sea-level changes. His fieldwork includes high-resolution seafloor imaging and seismic data analysis in regions like Iceland and California. He also studies neotectonics, geohazards, and coastal processes, with recent focus on the San Andreas Fault system and Salton Trough rift dynamics. ALERTCalifornia: This program uses advanced camera networks to monitor natural disasters, providing real-time data for first responders and researchers. Its infrastructure, originally for earthquake monitoring, now supports multi-hazard tracking, including wildfires and landslides, enhancing public safety and environmental understanding. Awards: Office of Naval Research Young Investigator Award Heezen Award and Storke Award (Lamont-Doherty Earth Observatory) Scripps Undergraduate Teaching Award MIT Distinguished Crosby Lecturer Advising & Grants: Driscoll has mentored students in geology and geophysics, with grants supporting his research on fault systems, climate impacts, and disaster preparedness. His collaborative projects include the Salton Seismic Imaging Project and Arctic Ocean sediment studies. Labs & Teams: Leads ALERTCalifornia and CP2 teams, collaborates with Scripps’ Geosciences Research Division on marine geophysics and tectonic studies, and partners with global institutions like WHOI and Icelandic research groups.

Cathryn MitchellView profile

Professor

• Radio Science
• Space Weather
• Position, Navigation and Timing (PNT)
• +4 more

Cathryn Mitchell is a Professor of Radio Science and Royal Society Industry Fellow at the University of Bath, specializing in ionospheric physics, position, navigation, and timing (PNT). She leads research in the Space & Telecoms Research Group (STAR), focusing on radio propagation, data assimilation, and space weather impacts on communication systems. Her work bridges theoretical, computational, and experimental approaches, with applications in satellite navigation, climate monitoring, and defense sectors. Her research interests include ionospheric tomography, HF communications, and the development of robust PNT systems. Mitchell collaborates extensively with industry partners like Spirent Communications on future navigation technologies and space weather resilience. She has held roles such as Academic Director of the Doctoral College and contributes to interdisciplinary projects like the DRIIVE initiative exploring ionospheric variability with EISCAT-3D radar. Recent work emphasizes ionospheric effects during geomagnetic storms (e.g., the 2024 Gannon Storm) and cooperative autonomous systems under communication constraints. Her projects are funded by the Royal Society, Natural Environment Research Council (NERC), and ESA, addressing challenges in space weather forecasting and PNT system reliability. Awards: Royal Society Industry Fellow (2022–present) Key Projects: Royal Society Industry Fellowship on Future PNT Technologies DRIVERS (DRIIVE): Ionospheric Variability Studies EISCAT-3D FINESSE: Ionospheric Structuring Analysis Mitchell’s lab, STAR, integrates academic and industrial partnerships to advance space weather applications and sustainable navigation systems, contributing to UN Sustainable Development Goals related to climate action and innovation.

Sarah KangView profile

Professor

• Climate Dynamics
• Atmospheric Circulation
• Ocean Circulation
• +3 more

Sarah Kang is the Director of the Department of Climate Dynamics at the Max Planck Institute for Meteorology in Hamburg, Germany, a position she has held since August 2023. She leads the Director's Research Group (CDY) focusing on fundamental climate dynamics. Prior to this, she served as Professor in the Department of Urban and Environmental Engineering at Ulsan National Institute of Science and Technology (UNIST) in South Korea from 2011-2023, progressing through assistant, associate, and full professor ranks. Her research examines complex climate system dynamics, with emphasis on: Large-scale atmosphere and ocean circulation patterns Tropical-extratropical climate interactions Hydrological cycle responses to climate change Mechanisms of polar amplification Teleconnections between ocean basins and climate zones Analysis of her recent publications reveals dominant research themes: Ocean-atmosphere coupling mechanisms Radiative forcing and climate sensitivity Hemispheric climate asymmetries Tropical precipitation dynamics Polar warming impacts on global circulation with consistent methodology employing high-resolution climate modeling and observational verification. Major scientific recognitions include: AGU Atmospheric Sciences Ascent Award (2022) AOGS Kamide Lecture Award (2018) Editor's Citation for Excellence in Refereeing (GRL 2018) UNIST Teaching Excellence Award (2012) NCAR Advanced Studies Fellowship (2009) She maintains extensive professional engagement as: Co-chair of CLIVAR Climate Dynamics Panel Science Steering Committee member for CFMIP Associate Editor for Frontiers in Climate Editor for AGU Advances Board member of Korean Meteorological Society

Samuel ChengView profile

Associate Professor

• Information Theory
• Signal and Image Processing
• Remote Sensing
• +4 more

Dr. Samuel Cheng is an Associate Professor at the Gallogly College of Engineering , University of Oklahoma , specializing in Electrical and Computer Engineering . He holds a Ph.D. in Electrical Engineering from Texas A&M University (2004), preceded by M.S. and M.Phil. degrees from the University of Hawaii and Hong Kong University of Science and Technology. Education: B.S. (University of Hong Kong, 1995), M.Phil. (HKUST, 1997), M.S. (University of Hawaii, 2000), Ph.D. (Texas A&M, 2004) Professional Experience: Senior Research Engineer at Advanced Digital Imaging Research (2004-2005), prior internships at Microsoft Asia and Panasonic Technologies His research focuses on Information Theory , Signal and Image Processing , and Pattern Recognition , with applications in remote sensing, urbanization analysis, and disaster monitoring. His publications span topics including urban impervious surface mapping , nighttime light analysis , and machine learning for environmental data . His work often integrates multi-source datasets (e.g., Landsat, LiDAR, social media) for spatiotemporal modeling. Technical Expertise: Spectral unmixing, machine learning, thermal remote sensing, GIS integration Key Applications: Power outage detection, vegetation-crime correlation, PM2.5 estimation, smart meter data fusion Dr. Cheng holds three US patents in digital watermarking and is affiliated with IEEE, Sigma Xi, and AAAS. His recent articles demonstrate a trend toward leveraging AI for remote sensing challenges and analyzing urbanization impacts on ecosystems.