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Tristan QuaifeView profile

Professor

• Earth System Science
• Remote Sensing
• Climate Modeling
• +6 more

Tristan Quaife is a Professor of Earth System Science at the Department of Meteorology, University of Reading. His research focuses on integrating remote sensing data with Earth system models to better understand vegetation dynamics, carbon cycles, and climate interactions. He leads projects involving land surface modeling, data assimilation techniques, and the application of satellite observations in ecological and agricultural contexts. Key collaborations include work on crop modeling, canopy structure analysis, and peatland monitoring. His contributions span advancements in radiative transfer models and the development of frameworks for agricultural decision support. Affiliations: Department of Meteorology, University of Reading. Research Interests: Earth System Science, Remote Sensing, Climate Modeling, Vegetation Dynamics, and Data Assimilation. His recent work emphasizes the role of 3D canopy structures in photosynthesis modeling and the development of hybrid data assimilation methods. He also explores the impacts of climate change on agricultural productivity and peatland ecosystems. Collaborations involve institutions globally, advancing interdisciplinary approaches to environmental challenges. Key articles highlight his contributions to land surface modeling, carbon cycle projections, and the application of machine learning in validating Earth system models. His research bridges theory and application, informing policy through improved climate and environmental predictions.

Flavio LehnerView profile

Assistant Professor

• Climate Science
• Climate Variability and Change
• Earth System Science
• +4 more

Flavio Lehner is an Assistant Professor in the Department of Earth and Atmospheric Sciences at Cornell University. He holds a PhD in Climate Science from the University of Bern (2013), an MSc from the same institution (2009), and a BSc in Geography/Climatology from the University of Basel (2007). Prior to Cornell, he worked at the National Center for Atmospheric Research (NCAR) and ETH Zürich. His research focuses on understanding climate variability and its impacts on regional scales, particularly through the lens of climate models, reconstructions, and observations. Key areas include quantifying uncertainties in climate projections, analyzing hydroclimate impacts like droughts and extreme events, and improving model performance. His interdisciplinary approach bridges fundamental science and practical applications, such as water resource management and infrastructure planning. Notable awards include the US CLIVAR Early Career Award (2019) and NOAA’s PACE Fellowship (2016). He teaches courses on climate science programming and global warming. His lab explores topics like teleconnections, snowpack dynamics, and downscaling methods, funded by agencies like NOAA and NSF. Lehner’s work emphasizes actionable climate science, aiming to reduce uncertainties and support decision-making in a changing climate.

• Ocean Modelling
• Southern Ocean Dynamics
• Ocean Eddies
• +3 more

Professor Andy Hogg is a leading academic in climate and ocean science, serving as Director of Australia's Climate Simulator (ACCESS-NRI), part of the National Collaborative Research Infrastructure Strategy (NCRIS). He is affiliated with the Research School of Earth Sciences (RSES) at ANU and actively contributes to the COSIMA consortium and the ARC Centre of Excellence for Weather of the 21st Century. His research focuses on Southern Ocean dynamics, ocean modeling, and climate prediction, with emphasis on eddies, energy/mixing processes, and model development. His work spans high-resolution ocean modeling (e.g., ACCESS-OM2), understanding Antarctic Bottom Water transport, and the role of eddies in climate systems. Recent publications highlight advancements in machine learning applications for ocean circulation analysis and climate intervention studies. He collaborates globally, contributing to initiatives like the Ocean Model Intercomparison Project (OMIP) and Mediterranean paleoceanography studies. Key projects include improving climate models' resolution to capture eddies and studying wind-driven ocean circulation responses to climate change. His research often integrates theoretical, computational, and observational approaches to address critical climate science challenges.

• Climate Science
• Paleoclimatology
• Earth System Modeling
• +3 more

Dr Witold Bagniewski is a Research Associate in the Department of Geography at the University of Cambridge, UK. His research focuses on climate feedback processes and their role in amplifying/diminishing climate change. He employs Earth system models and paleoclimate data assimilation to reconstruct past climate dynamics, particularly the carbon cycle over the last 50,000 years. Bagniewski collaborates with the Cambridge Computational Paleoclimatology group and researchers like Drs Francesco Muschitiello and Matt Osman. Education: PhD in Climate Science, University of New South Wales, Australia MSc in Oceanography, University of Maine, USA BSc in Geosciences and Astrophysics, Jacobs University Bremen, Germany His research interests include nonlinear climate dynamics, abrupt climate transitions, and the interplay between astronomical forcing and climate systems. Bagniewski’s work integrates interdisciplinary approaches, combining paleoclimate data with advanced modeling techniques to understand long-term climate evolution. Awards: None explicitly listed. Grants & Advising: No specific grants or advising roles detailed in the text. His primary focus is on collaborative research projects within the department and international partnerships. Labs/Teams: Active member of the Cambridge Computational Paleoclimatology group, specializing in computational methods for paleoclimate reconstruction.

• Geology
• Geomorphology
• Landscape Evolution
• +6 more

Dr. Alexander Whittaker is a Reader in Landscape Dynamics at the Department of Earth Science & Engineering, Imperial College London. His research focuses on the interplay between tectonics, climate, and sedimentation processes in landscapes. He holds affiliations with the Basins Research Group, Grantham Institute, and Imperial Centre for Geohazards. Whittaker's work integrates field observations, remote sensing, and numerical modeling to study active faulting, fluvial dynamics, and sediment routing systems. Education: PhD (2007), University of Edinburgh M.A. (2005), University of Cambridge MSci. (2002), University of Cambridge B.A. (2001), University of Cambridge Research Interests: Active tectonics and geohazards Climate-driven erosion and sedimentation Fluvial and submarine channel systems Quantitative paleohydrology Source-to-sink sediment flux analysis Recent publications highlight his focus on sediment dynamics in the Pyrenees during the Paleocene-Eocene Thermal Maximum (PETM), fluvial intermittency under climate change, and induced seismicity mechanisms. His work bridges geology, geophysics, and environmental science, addressing both natural hazards and anthropogenic impacts. Whittaker’s grants include funding for projects on flood risk assessment in the Ganga Basin and machine learning applications in seismology. He leads the Earth Observation Network and collaborates with international teams on sedimentary basin studies.

Andrea KaimView profile

Researcher

• Landscape ecology
• Ecosystem services
• Biodiversity and trade-offs
• +3 more

Dr. Andrea Kaim is the Head of the Junior Research Group AgriScape at the Helmholtz Centre for Environmental Research (UFZ) since 2022. She holds a PhD from the UFZ (2015–2022) and has extensive experience in landscape ecology, ecosystem services, and spatial conservation planning. From 2019–2022, she worked as a Research Scientist in the Professorship of Ecological Services at the University of Bayreuth. Her current research focuses on modeling farmer decisions in alpine grassland management using agent-based models, integrating biophysical, economic, and policy data. She has collaborated on projects like SusAlps and AgriScape, addressing climate change and policy impacts on land-use decisions. Education includes a German Diploma in Business Mathematics (2008–2015) from Universität Leipzig, with additional studies in Mathematics and Economics at the Universidad Complutense de Madrid (2012) and a traineeship at The University of Queensland’s Centre for Biodiversity and Conservation Science (2013–2014). Her research interests span landscape ecology, spatial conservation planning, environmental economics, and mathematical optimization. Key publications address agent-based models for nitrogen management, ecosystem service trade-offs in alpine regions, and multi-objective land-use allocation techniques. Dr. Kaim’s work bridges ecological modeling with policy analysis, emphasizing stakeholder preferences and sustainable resource management.

Danielle WoodView profile

Associate Professor

• Space Technology
• Sustainability
• Technology Policy
• +3 more

Danielle Wood is an Associate Professor at MIT, holding joint appointments in the Media Arts and Sciences and Aeronautics & Astronautics. She leads the Space Enabled Research Group, focusing on leveraging space technology for sustainable Earth systems and promoting equity in technology access. Her work spans satellite applications for environmental justice, space policy, and interdisciplinary systems design. Education: PhD in Engineering Systems, SM in Aeronautics & Astronautics, SM in Technology Policy, SB in Aerospace Engineering (MIT). Research Interests: Space sustainability, environmental justice, satellite remote sensing for development, and anticolonial approaches to space exploration. Her projects include the Space Sustainability Rating (SSR) initiative and decision support systems for climate resilience. Publications: Over 50 peer-reviewed articles on topics like Earth observation for SDGs, space debris governance, and inclusive technology design. Recent work emphasizes integrating socioeconomic data with environmental metrics. Awards: 2019 Faculty Ambassador Award (MIT), NSF CAREER Award, Bloomberg New Economy Catalyst, and induction into the International Academy of Astronautics. Recognized for advancing African and African Diaspora studies at MIT. Grants & Advising: Leads NASA-funded research on water resource management and collaborates with global agencies. Advises students on space policy, systems engineering, and equity-focused technology. Labs & Teams: Director of Space Enabled, which hosts initiatives like Zero Robotics and the EVDT framework for environmental decision-making. Collaborates with international partners on projects like the Space Sustainability Rating.

• Maritime Engineering
• Mechanical Engineering
• Oceanography
• +5 more

Dr. Stephan Kramer is an Advanced Research Fellow in the Department of Earth Science & Engineering at Imperial College London's Faculty of Engineering. He holds affiliations with the Applied Modelling and Computation Group and focuses on interdisciplinary research at the intersection of computational geophysics, renewable energy systems, and numerical methods. His work integrates advanced computational techniques with geodynamic and oceanographic processes. Education: MSc Theoretical Physics and Mathematics (University of Utrecht, 1994–2001), PhD (TU Delft, 2002–2007). Research Interests: Maritime Engineering, Mechanical Engineering, Oceanography, Geophysics, and Computational Fluid Dynamics. His research emphasizes numerical modeling of geophysical flows, tidal energy systems, and mantle dynamics. Recent work explores mesh adaptation techniques for ice flow and mantle convection, optimization of tidal turbine arrays, and inversion methods for reconstructing Earth's mantle evolution. Kramer has contributed to advancing open-source frameworks like Firedrake for geodynamic simulations. Publications from 2023–2024 highlight advancements in mesh movement networks, tidal energy optimization, and geodynamic inversion. His studies address challenges in energy extraction efficiency, environmental impact mitigation, and computational efficiency in large-scale geophysical models. No scientific awards or grants are explicitly listed, but his extensive publication record reflects sustained academic engagement. He is affiliated with the Applied Modelling and Computation Group, contributing to interdisciplinary research teams at Imperial College.

Zhi WangView profile

Professor

• Hydrology
• Soil Physics
• Water Resources Management
• +7 more

Zhi Wang is a Professor of Hydrology and Soil Physics at California State University, Fresno's College of Science and Mathematics, Department of Earth and Environmental Sciences. He holds a Ph.D. from KU Leuven (Belgium) and has expertise in water resources management, hydrogeology, soil physics, GIS applications, and climate change impacts on hydrological systems. His research is funded by NSF, DoD, and California state agencies. Education: Postdoctoral Fellow, Soil Physics and Environmental Science, UC Riverside Ph.D., Hydrology and Soil Physics, KU Leuven, Belgium M.S., Irrigation Engineering, Northwest A&F University, China B.S., Civil Engineering, Xi’an University of Technology, China Research focuses on: Hydrology of arid/semi-arid regions (dew, dryland systems) Post-fire hydrology (soil hydrophobicity, erosion) GIS applications in geosciences Climate change impacts on water resources Unsaturated zone hydrology and preferential flow Current projects include studying winery wastewater effects on vineyards, F3 innovation initiative for water-saving agricultural practices, and cover crops in vineyards. Teaching includes courses like Environmental Science, Hydrogeology, Geostatistics, and GIS applications in geology. Research collaborations include NSF-funded REU programs and industry partnerships with UmidaAg and Corigin. His lab currently studies San Joaquin Valley hydrology, Sierra Nevada watersheds, and geo-spatial data science using Python/ArcGIS.

Will AmidonView profile

Professor

• Geochronology
• Remote Sensing
• Surface Process Modeling
• +5 more

Will Amidon is a Professor in the Department of Earth and Environmental Sciences at Middlebury College. He founded the OSL Lab at Middlebury in 2013, which supports collaborative research in luminescence dating. His research focuses on geochronology, remote sensing, and modeling of surface processes, with a particular emphasis on cosmogenic dating, erosion patterns, and paleoclimate reconstruction. Amidon teaches courses such as Environmental Geology, Active Tectonics and Earthquake Hazards, and Remote Sensing in Geoscience. He has led field-based studies in the Champlain Valley, Central Andes, and Great Basin, emphasizing interdisciplinary approaches to understanding Earth's surface dynamics. His recent work explores spatio-temporal erosion patterns, tectonic activity in the Central Andes, and the interplay between climate and geomorphic processes. Over 40 peer-reviewed articles document his contributions to geochronology, tectonics, and paleoclimate studies. The OSL Lab at Middlebury serves as a key resource for students and researchers conducting luminescence dating studies.

Emily JarvisView profile

Associate Professor

• Green Chemistry
• Materials Science
• Quantum Chemistry
• +3 more

Dr. Emily Jarvis is an Associate Professor at the Frank R. Seaver College of Science & Engineering, Loyola Marymount University (LMU). She specializes in Green Chemistry, Quantum Chemistry, and materials science, emphasizing environmentally sustainable chemical solutions. A UCLA doctoral graduate, Jarvis joined LMU for its mission-driven environment and teacher-student dynamic. Her research focuses on designing eco-friendly chemical processes, including solar energy materials and catalytic systems, often involving undergraduate students in projects like the 2019 International Conference on Innovative Applied Energy in Oxford. She chairs LMU's iSTEM initiative, fostering interdisciplinary research and community among first-year students. Prior roles include Science Policy Advisor at the U.S. Senate and teaching positions at Kenyon and Gordon Colleges. Jarvis advocates for student-professor connections, emphasizing holistic education and mission-driven scholarship. Education: Ph.D. in Chemistry, UCLA Research Interests: Green Chemistry integration in curricula and policy, sustainable materials development, computational modeling of catalytic mechanisms, and quantum chemistry applications. Her work bridges environmental sustainability, energy innovation, and undergraduate research mentorship. Grants & Collaborations: Involved in LMU's Green Chemistry Commitment as a pioneer institution, mentoring students in SURP and Undergraduate Research Symposiums. Her lab explores solar energy materials, metal oxide nanoparticle reactivity, and ligand effects in catalysts. Labs/Teams: Leads research groups focused on sustainable chemistry and energy materials through collaborations with global institutions like Oxford University.

Sudip SubediView profile

Teaching Professor

• Construction Safety
• Construction Technology
• Occupational Health
• +3 more

Sudip Subedi, Ph.D., PE is an Assistant Teaching Professor at Florida International University (FIU), specializing in Construction Safety and Technology. His work focuses on integrating innovative technologies like sensors and virtual reality to enhance occupational health and safety in construction environments. He holds a Ph.D. in Civil Engineering and is licensed as a Professional Engineer (PE). Research Interests: - Construction Safety - Technology in Construction - Virtual Reality Applications - Ergonomics and Biomechanics - Sensor Technology - Sustainable Safety Practices Recent articles emphasize data-driven approaches to workplace safety, including sensor-based injury prevention and virtual reality for training. His work also explores comparative construction techniques in space vs. Earth contexts, reflecting interdisciplinary interests. No scientific awards or major grants are explicitly mentioned in the provided text. Teaching and Advising: - Advises students in FIU’s Construction Management programs (BS, MS, and online formats). - Engages in curriculum development for technology adoption in construction education. Labs/Teams: - Collaborates with FIU’s Industry Advisory Council and Civil Engineering research groups, though specific lab affiliations are not detailed.

• Remote Sensing
• Biogeochemistry
• Ecosystem Ecology
• +3 more

Dr. Gregory Duveiller is a Project Group Leader at the Max Planck Institute for Biogeochemistry in Jena, Germany, where he leads the Ecosystem Function from Earth Observation group under the Biogeochemical Integration department. With a PhD in Agronomical Sciences (2011) and postdoctoral experience at the European Commission Joint Research Centre (2011-2021), his work focuses on leveraging satellite Earth Observation data to understand terrestrial ecosystems' role in the Earth System. Research Interests: Land-atmosphere interactions, remote sensing of vegetation, spatio-temporal statistical analysis, land cover/use dynamics, and climate impacts on ecosystems. Scientific Awards: 2020 JRC Excellence Award (Shared) 2019 JRC Young Scientist Excellence Award 2016 JRC Scientific Excellence Award (Shared) 2006 Aspirant FNRS PhD Scholarship Advising: No formal advisees listed in available records. Publications: Recent work includes studies on sun-induced fluorescence, GPP estimation, deforestation impacts on drought vulnerability, cloud formation dynamics due to tree distribution, and biodiversity-ecosystem function relationships using satellite data. Email: gduveiller@bgc-jena.mpg.de

Petra H. HuentemeyerView profile

Professor

• Astrophysics
• Elementary Particle Physics
• Cosmic Ray Physics
• +3 more

Petra H. Huentemeyer is a Distinguished Professor in the Department of Physics at Michigan Technological University and Director of the Earth, Planetary, and Space Sciences Institute (EPSSI). Her research focuses on astrophysics and particle physics, particularly the origin of galactic cosmic rays and gamma-ray emission mechanisms. She leads projects involving the High-Altitude Water Cherenkov (HAWC) observatory in Mexico and contributes to the development of the Southern Wide-field Gamma-ray Observatory (SWGO). Her work combines experimental particle astrophysics with computational analysis to study cosmic phenomena like supernova remnants, pulsar wind nebulae, and gamma-ray binaries. Education PhD in Particle Physics, University of Hamburg/DESY, Germany Research Interests Dr. Huentemeyer’s investigations center on high-energy cosmic rays and gamma rays. She examines how these particles are accelerated in astrophysical environments and uses gamma-ray observations to trace their origins. Key areas include: TeV halos around pulsars Multimessenger signals from cosmic accelerators Gamma-ray emission from microquasars and binary systems Design of next-generation observatories like SWGO Her recent work has advanced gamma-hadron separation techniques using machine learning and explored the quiescent Sun’s gamma-ray emission. Grants & Advising She oversees research opportunities for educators through HAWC-related projects. Her group collaborates globally on HAWC data analysis and SWGO development. Key Projects Leadership roles in HAWC (Mexico) and SWGO (in development) ensure her work bridges experimental astrophysics with cutting-edge detector technology. Notable contributions include analyzing cosmic ray spectra and identifying new gamma-ray sources.

• Operational Research
• Optimization Methods
• Logistics and Supply Chain Management
• +7 more

Manuel Iori is a Full Professor at the Department of Engineering Sciences and Methods, University of Modena and Reggio Emilia (UNIMORE), Italy. His primary research focuses on operational research, optimization methods, and logistics systems. He specializes in vehicle routing problems, scheduling algorithms, and decision support systems with applications in industrial automation, healthcare, and service industries. Iori is actively involved in teaching advanced optimization courses for engineering students, emphasizing practical applications in data-driven decision-making and simulation. Research Interests: His work addresses complex optimization challenges such as multi-trip vehicle routing with time windows, scheduling under resource constraints, and tool switching in manufacturing systems. He integrates machine learning and metaheuristics to develop innovative solutions for logistics, production planning, and healthcare operations. Collaborations with industry partners (e.g., pharmaceutical distributors, printing companies) ensure practical relevance of his research. Teaching: Iori teaches courses like Optimization Methods for Data-Driven Engineering Processes , Models for Logistics and Production Optimization , and Methods and Algorithms for Optimization in Digital Industries . These courses combine theoretical foundations with hands-on labs using tools like Python, Xpress, and Anylogic. Key Contributions: He developed decision support systems for multi-trip routing in pharmaceutical distribution and supplier selection in facility management. His research on satellite scheduling and attended home delivery systems advances both theoretical and applied domains. As a member of CIRRELT (Canada), he collaborates on logistics optimization projects. Professional Activities: Iori’s work is reflected in over 80 peer-reviewed publications and contributions to conferences. He advises graduate students on optimization challenges and serves as a reviewer for top journals in operations research.