جستجوی استاد راهنمای دانشگاهی

Tapio Schneiderمشاهده پروفایل

استاد

• Atmospheric Dynamics
• Climate Modeling
• Geophysical Turbulence
• +۴ مورد دیگر

Tapio Schneider is the Theodore Y. Wu Professor of Environmental Science and Engineering at the California Institute of Technology. His research focuses on atmospheric dynamics across Earth and other planets, climate modeling innovations, and geophysical turbulence analysis. He contributes to the Climate Modeling Alliance (CliMA) and develops advanced computational tools for climate prediction. Albert-Ludwigs-Universität Freiburg (Vordiplom, 1993) Princeton University (M.Sc. 1997, Ph.D. 2001) University of Washington, Seattle (Visiting Graduate Student, 1994-1995) His research spans climate dynamics , atmospheric turbulence , and AI-enhanced climate modeling , addressing challenges in cloud dynamics, extreme weather patterns, and planetary climate systems. Current work emphasizes hybrid machine learning-physical models and computational acceleration for high-resolution simulations. Recent publications highlight trends in AI integration for climate science, with applications in hydrology , cloud microphysics , ocean circulation , snowpack modeling , and climate tipping points . His team develops open-source tools like ClimateMachine for GPU-accelerated simulations. Scientific Recognition: Fellow, American Geophysical Union (2022) Rosenstiel Award (2019) World Economic Forum Young Scientist (2012) David and Lucile Packard Fellow (2005-2010) Alfred P. Sloan Research Fellow (2004-2006) Tapio leads climate dynamics research at Caltech, directs the Linde Center for Global Environmental Science (2011-2012), and serves as Editor for the Journal of Advances in Modeling Earth Systems . His group collaborates with NASA Jet Propulsion Laboratory (2016-2024) and Google Research (2022-present).

Raffaele Ferrariمشاهده پروفایل

استاد

• Ocean Dynamics
• Climate Science
• Paleoclimatology
• +۵ مورد دیگر

Raffaele Ferrari is the Cecil & Ida Green Professor of Oceanography and Co-Director of the MIT Lorenz Center within the Department of Earth, Atmospheric, and Planetary Sciences (EAPS). He holds a BS/MS from Università di Torino and a PhD from Politecnico di Torino and Scripps Institution of Oceanography. His research focuses on ocean dynamics, climate modeling, and paleoclimatology, with emphasis on turbulence, carbon cycling, and climate system interactions. Key projects include the Climate Modeling Alliance (CliMA) and the Bottom Boundary Layer observational program. He has been recognized with awards such as the Harald Sverdrup Lecture (2022) and the Nicholas P. Fofonoff Award (2007). His work integrates high-resolution modeling, observational data, and theoretical frameworks to advance climate science. Education: BS/MS (Università di Torino), PhD (Politecnico di Torino/Scripps) Affiliations: MIT Lorenz Center, CliMA collaboration (Caltech/JPL), MIT-WHOI Joint Program Research spans ocean turbulence, paleoclimate dynamics (e.g., Last Glacial Maximum, Eocene), and climate model development using AI/ML. He advises numerous students across these themes, contributing to breakthroughs in submesoscale dynamics and ocean energetics.

Henry Mossمشاهده پروفایل

پژوهشگر

• Machine Learning
• Bayesian Optimization
• Theoretical Physics
• +۳ مورد دیگر

Dr Henry Moss is a Researcher at the Department of Applied Mathematics and Theoretical Physics within the School of Physical Sciences at the University of Cambridge. His work focuses on machine learning applications in climate modeling, Bayesian optimization, and Gaussian processes, bridging computational mathematics with environmental science and chemistry. His research interests include: Bayesian optimization for environmental and chemical systems Reinforcement learning in climate modeling Gaussian processes for molecular property prediction High-throughput machine learning in scientific domains Interpretable AI for coastal flooding prediction Hybrid ML-physics modeling Dr Moss's publications highlight his contributions to federated learning for climate models, sparse Gaussian process techniques, and multi-objective optimization frameworks. These works span applications in weather prediction, chemical engineering, and oceanography. Email: hwm26@cam.ac.uk

Martin Jakobssonمشاهده پروفایل

استاد

• Marine Geology
• Arctic Ocean Glacial History
• Paleoceanography
• +۴ مورد دیگر

Martin Jakobsson is a Professor of Marine Geology and Geophysics at Stockholm University's Department of Geological Sciences. His career spans international research expeditions and leadership roles, including Dean of Earth Science (2021) and Head of Department (2012-2018). A key member of the Marine Geology group, he studies Arctic and Antarctic glacial history through sediment analysis and seafloor mapping. PhD from Stockholm University (2000) Academy Fellow, Royal Swedish Academy of Sciences (2004-2009) Professor II position at University Centre of Svalbard (2011-) His research focuses on marine geological archives to reconstruct glacial cycles, ice-ocean interactions, and bathymetric mapping. As GEBCO Vice-Chair (2013-2020), he led initiatives for global seabed mapping through the Seabed 2030 project. Recent publications reveal expertise in: Arctic Ocean paleocirculation Methane release from thawing permafrost Ice sheet sensitivity to oceanic warming High-resolution bathymetric analysis Scientific recognition includes: Election to Royal Swedish Academy of Sciences (2012) 1st Vice President, Royal Swedish Academy of Sciences (2016-2019) Membership in Norwegian Scientific Academy for Polar Research (2016) He leads international collaborations on polar research vessels, with over a year of cumulative ship time and multiple Co-Chief Scientist roles on Arctic expeditions.

Tetsu Haraمشاهده پروفایل

استاد

• Oceanography
• Atmospheric Sciences
• Climate Modeling
• +۶ مورد دیگر

Dr. Tetsu Hara is a Professor at the University of Rhode Island's Graduate School of Oceanography (URI GSO), specializing in Physical Oceanography. With a lifelong fascination for ocean surface waves, his research bridges civil engineering principles with ocean dynamics to study air-sea interactions under extreme conditions like hurricanes. Ph.D., Civil Engineering, Massachusetts Institute of Technology, 1990 M.S., Civil Engineering, University of Tokyo, 1986 B.S., Civil Engineering, University of Tokyo, 1983 Dr. Hara's work focuses on ocean turbulence, wave dynamics, and their role in air-sea energy exchange. He investigates how surface waves influence hurricane intensity predictions, climate modeling, and coastal processes through numerical simulations and field observations. His research emphasizes the importance of sea state (wave height, wind-wave alignment) in determining heat fluxes, drag coefficients, and gas exchange rates critical for climate science. His publications reveal trends in tropical cyclone modeling, Langmuir turbulence, and wave-current interactions. By combining satellite data with computational models, he explores discrepancies between wind strength and wave behavior, advancing understanding of ocean mixing mechanisms that impact climate change predictions. Dr. Hara has received continuous National Science Foundation grants since 2003, including collaborative projects on hurricane modeling (2018-2020), wind-wave turbulence (2015-2020), and storm surge impacts (2016-present). He previously secured funding from the Office of Naval Research (2009-2012) and U.S. Department of Homeland Security (2016). Mentored 15+ graduate students in hurricane dynamics, wave modeling, and air-sea interaction Co-developed advanced courses on geophysical fluid dynamics and tropical cyclone modeling Collaborates closely with Dr. Isaac Ginis (URI GSO) and Dr. Tobias Kukulka (University of Delaware)

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• Sea Ice Dynamics
• +۳ مورد دیگر

Leif Eriksson is a Professor at Chalmers University of Technology , specializing in Radar Remote Sensing within the Department of Space, Earth and Environment . His career at Chalmers began in 2004, and he was promoted to Professor in 2022 after serving as Group Leader (2012–2017) and Head of Faculty Assembly (2017–2020). His research focuses on developing advanced methods for environmental monitoring using radar data, particularly synthetic aperture radar (SAR) from satellites and aircraft. Leadership Roles: Group Leader (Radar Remote Sensing), Faculty Assembly Head Key Collaborations: Rymdstyrelsen, EU Horizon, VINNOVA, European Space Agency Research Interests : Dr. Eriksson’s work spans forest biomass estimation , sea ice dynamics , and ocean surface current/wind retrieval . He integrates SAR data with in situ observations and climate models to study: Forest degradation (clear cuts, storm damage) via multi-temporal SAR Sea ice concentration, drift patterns, and thickness in Arctic regions Wind vectors and surface currents using interferometric SAR techniques Applications for maritime navigation safety and polar shipping optimization Article Trends : His recent publications emphasize SAR’s role in transport infrastructure monitoring (e.g., Iron Ore Line degradation), pan-Arctic landfast ice stability , and multi-frequency SAR fusion for enhanced sea ice observations. Collaborative work with teams across Europe and the U.S. highlights interdisciplinary approaches to climate and marine research. Projects & Grants : Dr. Eriksson leads or contributes to projects such as: CAISA (2022–2024): Air-ice-sea data assimilation EONav (2016–2019): Copernicus data for maritime navigation SEDNA (2017–2020): Safe Arctic shipping Forest Biomass Monitoring (2017–2018): Spaceborne SAR applications His work is supported by Rymdstyrelsen, EU Horizon, and industry partners like Trafikverket. Labs & Teams : He is central to the Radar Remote Sensing Group at Chalmers, collaborating with institutions like Lund University and international bodies such as ESA. His research often involves satellite campaigns (e.g., TanDEM-X, Sentinel) and field studies in polar regions.

Lorenzo M. Polvaniمشاهده پروفایل

استاد

• Atmospheric Science
• Climate Modeling
• Arctic Studies
• +۴ مورد دیگر

Lorenzo M. Polvani is the Maurice Ewing and J. Lamar Worzel Professor of Geophysics at Columbia University, with dual appointments in the Department of Applied Physics and Applied Mathematics and the Department of Earth and Environmental Sciences. He has taught at Columbia for over 30 years and received multiple teaching awards. PhD in Physical Oceanography, MIT/Woods Hole Joint Program (1988) MSc and BSc in Physics, McGill University His research spans Atmospheric Science , Climate Modeling , and Arctic Studies , focusing on geophysical fluid dynamics, radiative forcing, and climate sensitivity. Recent work examines nonlinear climate responses to CO2 variations, Arctic amplification mechanisms, and volcanic aerosol impacts. Scientific publications reveal trends in radiative forcing , Arctic sea ice dynamics , stratospheric ozone effects , and climate feedback interactions . Key tools include the ClimKern Python package for radiative feedback analysis. Notable research includes: Nonlinear precipitation responses to volcanic eruptions High CO2 forcing effects on North Atlantic Oscillation Cloud feedbacks reducing hydrological sensitivity Arctic amplification through radiative-advective equilibrium Stratospheric ozone impacts on tropical climate patterns

Sebastian Schemmمشاهده پروفایل

دانشیار

• Atmospheric Sciences
• Extratropical Cyclone Dynamics
• Jet Stream Physics
• +۷ مورد دیگر

Sebastian Schemm is a Heisenberg Fellow at the Department of Applied Mathematics and Theoretical Physics (DAMTP), University of Cambridge, a position regarded as equivalent to a non-permanent Associate Professor. He leads research within the Atmosphere-Ocean Dynamics group and previously held an ERC Starting Grant-funded Assistant Professorship (without tenure track) at ETH Zurich. Education and Career Path PhD (2013) and MSc (2010), ETH Zurich, Switzerland Postdoctoral researcher, University of Bergen, Norway (2014–2017) Postdoctoral researcher, Laboratoire de Météorologie Dynamique, ENS Paris (2017–2018) Assistant Professor (ERC Starting Grant), ETH Zurich (2020–2024) Heisenberg Fellow, DAMTP, University of Cambridge (2025–present) Research Focus Schemm’s work centres on atmospheric and climate dynamics, spanning turbulence to planetary scales. Core themes include the physics of extratropical cyclone life cycles, jet-stream and storm-track dynamics, Rossby waves and teleconnection patterns, high-resolution atmospheric modelling, and the integration of machine-learning techniques for parameter estimation, data assimilation, and kilometre-scale global simulations. He also contributes to large-scale initiatives such as ECMWF’s WeatherGenerator. Scientific Awards and Editorial Service DFG Heisenberg Fellowship (2025) ERC Starting Grant (2020–2024) European Meteorological Society Young Researcher Medal (2019) Co-Editor, Weather and Climate Dynamics (EGU) Co-Editor, Quarterly Journal of the Royal Meteorological Society PhD Supervision & Funding He currently supervises PhD students at both Cambridge and ETH Zurich, with funding streams including the Cambridge CREATES Doctoral Training Partnership and Swiss/EU grants. Ongoing students explore reinforcement-learning parameterisations, jet-stream–storm-track relationships, mid-latitude eddy energetics, machine-learning ensemble forecasting, and Bayesian parameter estimation in LES. Active Projects EU Horizon project WeatherGenerator (led by ECMWF) PASC HiRAD-Gen : High-Resolution Atmospheric Downscaling Using Generative Models

Gary Froylandمشاهده پروفایل

استاد

• Dynamical Systems
• Machine Learning
• Optimisation
• +۱۲ مورد دیگر

Scientia Professor Gary Froyland is a Professor at the University of New South Wales (UNSW), affiliated with the School of Mathematics & Statistics. He leads the ARC Laureate Centre for Dynamical Systems and Data and holds an Einstein Visiting Fellowship from the Einstein Foundation Berlin. His academic credentials include a BSc (Hons 1, Medal) in Pure and Applied Mathematics from the University of Queensland and a PhD in Mathematics from the University of Western Australia. Professor Froyland's research spans two primary domains: dynamical systems and optimization. In dynamical systems, he investigates the interplay of probability and geometry in nonlinear and chaotic systems, employing tools from ergodic theory, functional analysis, and differential geometry. His work extends to applications in oceanography, atmospheric science, and granular flows. In optimization, he focuses on decision-making in complex systems with uncertain information, developing novel approaches in mathematical programming that have been applied to mining, logistics, and medical treatment planning. His recent publications demonstrate a strong focus on coherent structures in dynamical systems, linear response theory, and applications to geophysical phenomena. The research shows increasing interdisciplinary collaboration, particularly with climate scientists and data analysts, reflecting a trend toward applying advanced mathematical techniques to real-world problems in environmental science and engineering. J.D. Crawford Prize (2025) Elected Member of the Academy of Europe / Academia Europaea (2024) ARC Laureate Fellow (2024-2029) Fellow of the Society for Industrial and Applied Mathematics (SIAM) (2021) Fellow of the Australian Academy of Science (2020) Vice-Chancellor's Award for Teaching Excellence - Postgraduate Research Supervision (2015) Professor Froyland actively supervises PhD and honors students, with current advisees including Kevin Felipe Kühl Oliveira, Nicholas Peters, and Kathrin Völkner. His research is supported by multiple grants, including an ARC Laureate Fellowship (2024-2029) for "Breakthrough mathematics for dynamical systems and data," an Einstein Visiting Fellowship (2022-2026), and several ARC Discovery Projects. His work has practical applications in climate science, mining optimization, and medical treatment planning, particularly in radiotherapy. He leads the ARC Laureate Centre for Dynamical Systems and Data, which brings together researchers to develop new mathematical approaches for analyzing complex dynamical systems. The center focuses on creating methods to identify coherent structures in spatiotemporal data, with applications spanning environmental science, social science, health science, and engineering.

Irina Marinovمشاهده پروفایل

دانشیار

• Climate Science
• Oceanography
• Biogeochemical Cycles
• +۵ مورد دیگر

Irina Marinov is an Associate Professor in the Department of Earth and Environmental Sciences at the University of Pennsylvania. She specializes in climate science, focusing on the critical role of oceans in global climate dynamics and carbon cycling. Her research integrates Earth system models and satellite data to study phenomena such as Southern Ocean convection, phytoplankton ecology, and the impact of climate change on oceanic processes. Marinov’s research spans biogeochemical cycles, marine ecology, and climate modeling, with a particular emphasis on Southern Ocean dynamics. She explores teleconnections between tropical atmospheric systems and Southern Ocean processes, polynya variability, and the use of satellite data to understand phytoplankton biomass and carbon distribution. Her recent publications (2024-2025) highlight the Southern Ocean’s influence on multidecadal climate variability, nonlinear CO2 dynamics, and the development of the GLOBAL CLIMATE SECURITY ATLAS. These works bridge climate modeling, satellite remote sensing, and policy applications. Scientific Awards: Undergraduate Research Mentorship award First woman to be tenured in the Earth and Environmental Sciences Department at Penn

• Geophysics
• Geodynamics
• Seismic Hazard Analysis
• +۷ مورد دیگر

Professor Saskia Goes is a Professor of Geophysics at Imperial College London's Department of Earth Science & Engineering within the Faculty of Engineering. She specializes in geodynamics, subduction dynamics, and seismic hazard analysis using numerical modeling and geophysical data interpretation. Her affiliations include the Dynamic Earth and Hazards groups at the Imperial Centre for Geohazards Dynamics. Education: PhD in Geophysics from UC Santa Cruz (1995), Drs (BSc/MSc equivalent) from Utrecht University (1990). Prior roles include SNF Professor of Tectonophysics at ETH Zurich (2003-2005), Visiting Assistant Professor at the University of Michigan (1995-1996), and postdoctoral research at Utrecht University (1996-1999). Research focuses on mantle dynamics, lithosphere structure, and subduction zone processes. Her work integrates seismic imaging, machine learning, and numerical simulations to study phenomena like slab dynamics, mantle plumes, and fluid migration. Key themes include the interplay between tectonic forces and geochemical processes in continental and oceanic settings. Publications emphasize subduction zone processes, seismic tomography, and induced seismicity. She has led projects like the VoiLA initiative studying volatile recycling in the Lesser Antilles. Awards and recognition include invited lectures at leading conferences (AGU, EGU) and universities worldwide. Teaching includes undergraduate geodynamics, geohazards courses, and advanced MSc modeling modules. Active in promoting geohazard research through interdisciplinary collaboration and public engagement.

Ricardo Matanoمشاهده پروفایل

استاد

• Large-scale Ocean Circulation
• Geophysical Fluid Dynamics
• Western Boundary Currents
• +۳ مورد دیگر

Ricardo Matano is a Professor at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences (CEOAS), Department of Oceanography. His research focuses on large-scale ocean circulation, western boundary currents, ocean modeling, and geophysical fluid dynamics, with a particular emphasis on the Southern Ocean and South Atlantic dynamics. He holds a Lic. in Physical Oceanography from Universidad Nacional del Sur (1983), an MA in Geophysical Fluid Dynamics from Princeton University (1988), and a PhD in Atmospheric and Oceanic Science from Princeton (1991). Research interests include low-frequency variability of South Atlantic circulation, interocean exchanges, shelf circulation in the southwestern Atlantic, and dynamics of shelfbreak formation. Recent work explores climate change impacts on Patagonian shelf systems and larval connectivity in marine species. His studies often involve numerical modeling and satellite data analysis to understand coastal and open-ocean interactions. Recent publications (2022–2025) highlight studies on Agulhas Bank circulation, Patagonia shelf-break dynamics, and California Current poleward transports. His work contributes to understanding climate-driven variability in marine systems and informing coastal management strategies.

Sarah Kangمشاهده پروفایل

استاد

• Climate Dynamics
• Atmospheric Circulation
• Ocean Circulation
• +۳ مورد دیگر

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

Zackary Johnsonمشاهده پروفایل

دانشیار

• Marine Microbial Ecology
• Biological Oceanography
• Algal Biotechnology
• +۴ مورد دیگر

Zackary Johnson , the Juli Plant Grainger Associate Professor of Biological Oceanography and Marine Biotechnology at Duke University, leads interdisciplinary research at the intersection of marine microbiology and biogeochemical innovation. Affiliated with the Nicholas School of the Environment and based at the Duke Marine Laboratory , his work spans microbial ecology, algal biotechnology, and climate mitigation strategies. Education: Ph.D. in Marine Science (Duke University, 2004), B.S. in Biology (MIT, 1994) Research Interests focus on marine microbial communities, particularly the model phytoplankton Prochlorococcus , algal cultivation for sustainable bioproducts, and the ecological impacts of ocean acidification. His lab investigates microbial interactions across diverse environments—from coastal estuaries to open-ocean gyres—and develops technologies for carbon-negative aquaculture systems. Publications highlight expertise in microbial biogeography, algal biofuels, and climate-resilient marine food webs. Recent work explores drone-based ocean color sensing, Gulf Stream eddy microbiomes, and the role of Labyrinthulomycetes protists in carbon export. Scientific Awards: Juli Plant Grainger Associate Professorship DOE and NSF-funded projects Grants include high-profile initiatives like the Marine Algae Industrialization Consortium (MAGIC) and REU Site program for coastal research training. His lab maintains a dedicated research site for studying microbial dynamics and sustainable algal cultivation.

Carlos Fernandez-Grandaمشاهده پروفایل

دانشیار

• Machine Learning
• Medical AI
• Climate Science
• +۷ مورد دیگر

Carlos Fernandez-Granda is an Associate Professor of Mathematics and Data Science at New York University, holding joint appointments at the Courant Institute of Mathematical Science and the Center for Data Science. He currently serves as the Interim Director of the Center for Data Science. His academic career spans over a decade at NYU, where he has taught probability and statistics to data-science students. Dr. Fernandez-Granda's research focuses on designing and analyzing data-science methodology, with current emphasis on machine learning applications in medicine, climate science, and scientific imaging. His work bridges theoretical foundations with practical applications across multiple domains. His notable contributions include: Development of the COBRA (COnfidence-Based chaRacterization of Anomalies) score for automatic assessment of impairment and disease severity Applications of machine learning to improve climate projections through the M2LInES project Research on magnetic resonance fingerprinting for quantitative tissue parameter estimation Development of AI systems for medical diagnostics including Alzheimer's detection and breast cancer diagnosis Dr. Fernandez-Granda is the author of the book "Probability and Statistics for Data Science," published by Cambridge University Press. The book serves as a comprehensive guide to the two pillars of data science, featuring real-world datasets and addressing fundamental challenges like overfitting, the curse of dimensionality, and causal inference. His research has been supported by grants from the National Science Foundation (Division of Mathematical Sciences, grants 1616340 and 2009752) and the Alzheimer's Association (grant AARG-NTF-21-848627). Dr. Fernandez-Granda is actively involved in several collaborative projects: M2LInES project: An international collaboration focused on improving climate projections using machine learning to capture unaccounted physical processes at the air-sea-ice interface Math and Data group: Exploring the intersection of mathematical theory and data science applications