جست‌وجوی استاد و پژوهشگر

Rhys Parfittمشاهده پروفایل

دانشیار

• Atmosphere-Ocean Interactions
• Climate Variability and Change
• Physical Oceanography
• +۷ مورد دیگر

Rhys Parfitt is an Associate Professor in the Department of Earth, Ocean and Atmospheric Science at Florida State University. He holds additional appointments as an Adjunct Scientist at the Woods Hole Oceanographic Institution and as an Affiliate Faculty Member at the Center for Ocean-Atmospheric Prediction Studies. His research focuses on atmosphere-ocean interactions, large-scale climate variability, and the socio-economic impacts of extreme weather in a warming climate. Department: Earth, Ocean and Atmospheric Science (EOAS) School: College of Arts and Sciences University: Florida State University Affiliations: Woods Hole Oceanographic Institution (Adjunct Scientist), Center for Ocean-Atmospheric Prediction Studies (Affiliate Faculty) His research group investigates the physical mechanisms governing atmosphere-ocean interactions, particularly in mid-latitudes, including the influence of the Gulf Stream on Nor’Easters. He is interested in climate variability across timescales, from present-day to past millennium and future climate scenarios, with projects on rainfall variability in Australia and New Zealand, Greenland melt events, and climate reconstruction using tree-ring data. He employs high-resolution climate models and observational datasets to study fine-scale processes in the Earth system. His work emphasizes improving predictability of extreme weather and understanding climate change impacts. Rhys Parfitt teaches courses such as "Introduction to the Atmosphere," "Marine Meteorology," "Modes of Climate Variability," and "Environmental Entrepreneurship" through a bridge initiative with the Jim Moran College of Entrepreneurship. He has also taught at the MIT-WHOI Joint Program and served as an instructor at Imperial College London. He previously taught topics including tropical meteorology, mid- to high-latitude meteorology, North Atlantic climate variability, and MATLAB applications in climate science. At Imperial College, he instructed in physics and applied mathematics, with specialized topics in wind turbulence, solar radiation, and hurricane dynamics. No scientific awards were mentioned in the provided text. Rhys Parfitt advises graduate students in the EOAS department and encourages prospective students to contact him regarding research opportunities. He is involved in interdisciplinary research and collaborates across institutions. He has contributed to graduate education through course development and mentoring. His lab or research group focuses on analyzing observational data and model outputs to theorize about climate and weather mechanisms. He is engaged in projects related to climate modeling, ocean-weather interactions, and socio-economic impacts of climate extremes.

• Peatland Palaeoecology
• Neodymium Isotopes
• Fire History Reconstruction
• +۳ مورد دیگر

Katarzyna Marcisz is a Polish palaeoecologist affiliated with Adam Mickiewicz University in Poznań . Her research focuses on reconstructing environmental changes using peatland archives, with expertise in isotope geochemistry, testate amoebae analysis, and fire history modeling. Lead author on Neodymium isotope studies in peatlands Developed continental-scale testate amoebae transfer functions Recipient of multiple National Science Centre (Poland) grants Research Highlights: Her work spans three key areas: Peatland Dynamics: Investigated hydrological stability over the Holocene using high-resolution 14 C and 210 Pb dating Fire Ecology: Quantified fire activity interactions with vegetation across European lowlands and alpine regions Isotope Tracing: Advanced Nd isotopes as local environmental disturbance indicators in peat records Recent publications emphasize: Carbon sequestration potential in kettle-hole peatlands Human-climate interactions in fire regimes Testate amoebae as bioindicators for ecosystem changes Key methodological contributions include improving dating resolution in ombrotrophic peat profiles and developing eDNA metabarcoding applications for palaeoecological studies.

Simona Masinaمشاهده پروفایل

استاد پژوهشی

• Oceanography
• Climate Science
• Ocean Modeling
• +۵ مورد دیگر

Simona Masina, Ph.D., serves as Director of the Institute for Earth System Predictions at the Euro-Mediterranean Centre on Climate Change Foundation (CMCC) in Bologna, Italy. With a doctorate from Princeton University, she leads research on ocean-climate dynamics and has over 20 years of expertise in global ocean modeling and data assimilation. She holds adjunct teaching positions at Ca’ Foscari University of Venice and the University of Bologna, instructing graduate-level courses in climate science. Her research examines the ocean's role in climate systems, with focus areas including: Ocean-atmosphere interactions and heat flux dynamics Marine heatwave mechanisms and climate change impacts Arctic sea ice variability and polar amplification Development of high-resolution forecasting systems (e.g., NEMO-based operational framework) Earth system prediction and model validation techniques Her publications demonstrate strong emphasis on extreme ocean events, with recent work analyzing marine heatwaves in the Mediterranean, Arctic sea ice loss, and ocean forecasting methodologies. This research advances predictive capabilities for climate-related ocean phenomena. Dr. Masina coordinates major scientific initiatives, including the pioneering PRACE project that established CMCC's operational ocean forecasting system. She holds leadership roles in several international scientific bodies: Member of the Italian Oceanographic Commission (IOC-UNESCO) Member of NEMO Steering Committee Member of OceanPredict Science Team Chair of Scientific Board at Mercator Ocean International

• Robotics
• Machine Learning
• Electrical Engineering
• +۳ مورد دیگر

Xinyu Qin is a Professor at the Department of Electrical and Computer Engineering within the School of Information Engineering at Guangdong University of Technology. His research focuses on advanced robotics, signal processing, and integrated circuit design, contributing to fields like multi-manipulator systems and Delta-Sigma modulators. Education: Affiliated with prestigious institutions through collaborative research Research Interests: Robotics, Machine Learning, Electrical Engineering His recent publications (2023-2025) demonstrate expertise in robotic task allocation, high-speed circuit design, and explainable AI for healthcare. Award-winning work includes Interactive Explainable Deep Survival Analysis (2024) and SVP: Safe and Efficient Speculative Execution Mechanism through Value Prediction (2023). Key collaborations involve Guoxing Wang and Liang Qi across 16 records. Current projects involve optimizing convolutional neural network accelerators, analyzing atmospheric river impacts on Greenland's crustal deformation, and advancing MASH Delta-Sigma modulator architectures. His work bridges theoretical innovation with practical applications in smart energy systems and autonomous robotics.

Philip Leadbitterمشاهده پروفایل

پژوهشگر ارشد

• Oceanography
• Marine Technology
• Digital Data Management
• +۲ مورد دیگر

Philip Leadbitter is a Research Fellow at the University of Southampton , specializing in the Physical Sciences Data Infrastructure (PSDI) project. His research focuses on digital lab notebooks, paperless note-taking systems, and the use of autonomous underwater platforms for oceanographic data collection in remote marine regions. Current research explores human and technological barriers to transitioning from paper-based to digital data management in teaching laboratories. Develops methodologies for analyzing high-frequency thermistor data from ocean gliders to quantify turbulent mixing processes. His work contributes to improving data integrity and connectivity in marine science through technological innovation. Philip collaborates with interdisciplinary teams in the Southampton Marine and Maritime Institute and Ocean Energy research groups.

• Carbon-Climate Interactions
• Methane Emission Quantification
• Satellite Remote Sensing
• +۳ مورد دیگر

Zichong Chen is a Researcher in the Atmospheric Chemistry Modeling Group at Harvard University, working under Prof. Daniel Jacob. His research focuses on quantifying greenhouse gas (GHG) and air pollutant emissions using satellite data, with a particular emphasis on methane emissions, carbon-climate interactions, and high-resolution inversion techniques. He develops tools like the Integrated Methane Inversion (IMI) 2.0 to provide actionable insights for climate stakeholders. His work integrates satellite observations (e.g., TROPOMI, GOSAT) with data assimilation and atmospheric modeling to construct frameworks for climate action. Research interests include global carbon cycle variability, methane emission quantifications across regions (China, U.S., Middle East, Africa), and agricultural ecosystem GHG emissions. He advances methodologies to link satellite data (e.g., Landsat) with environmental drivers for emissions estimation. Key contributions include high-resolution methane inventories (e.g., Global Rice Paddy Inventory) and studies on tropospheric OH variability. His work spans climate policy applications, such as improving national emission inventories via satellite data, and regional analyses of methane emissions in countries like Colombia, Oman, and South American nations. He collaborates globally to address climate mitigation through data-driven approaches.

• Stable Isotope Analysis
• Dendroclimatology
• Climate Variability
• +۳ مورد دیگر

Dr. Gerhard Helle is a Senior Scientist and Head of the Dendrolaboratory at the Helmholtz Centre for Geosciences GFZ (Section 4.6 Geomorphology) in Potsdam, Germany, and affiliated with the Department of Paleontology at Freie Universität Berlin. His career spans over two decades in stable isotope studies applied to tree-ring analysis for climate and environmental reconstructions. Helle leads research on high-resolution isotope methodologies, climate signals in tree rings, and natural climate variability across the late Glacial/Holocene and Common Era. He has pioneered work on tropical dendroclimatology and South American climate studies through collaborations with institutions in Chile and Argentina. He holds a Ph.D. in Geosciences from the University of Münster (1997) and has held postdoctoral and research leadership roles at Jülich Research Centre and the University of Münster. Helle teaches advanced dendrochronology courses at FU Berlin, including 'Introduction to Dendroclimatology' since 2016. His research integrates stable isotope techniques with fieldwork across Europe, Asia, and South America, contributing to global climate reconstructions and interdisciplinary studies on hydroclimate variability, seasonal climate dynamics, and tree physiology responses to environmental stressors. Helle’s work has produced over 100 peer-reviewed publications, including high-impact studies on European hydroclimate trends, Amazon Basin isotopic records, and the application of tree-ring data to understand anthropogenic climate impacts. He is a founding member and treasurer of the Association for Tree-ring Research (ATR), reflecting his leadership in dendrochronological sciences.

• Environmental Analytical Chemistry
• Per- and Polyfluoroalkyl Substances (PFAS)
• Groundwater Contamination
• +۳ مورد دیگر

Christian Zwiener is a Professor (W3) for Environmental Analytical Chemistry at the Center for Applied Geoscience, University of Tübingen since 2009. He holds a Habilitation and Venia Legendi in Water Chemistry (KIT, 2004) and a Ph.D. in Water Chemistry (Technical University of Munich, 1995). His research focuses on PFAS analysis , non-target screening , and environmental fate of contaminants using high-resolution mass spectrometry . Education: Habilitation in Water Chemistry, KIT (2004) Ph.D. in Water Chemistry, Technical University of Munich (1995) Diploma in Analytical and Environmental Chemistry, University of Ulm (1989) Research Trends: PFAS contamination in soils , human hair , and textiles Non-target screening workflows for novel contaminants and transformation products Environmental fate of pharmaceuticals and biocides Development of HRMS data mining tools (e.g., FindPFΔS, PFΔScreen) Scientific Awards: Level II Scientific and Technological Achievement Award (STAA) , EPA (2008) Research Award , Water Chemical Society, GDCh (2001) Professional Service: Chairman, Journal Vom Wasser (2016–present) Delegate, EUChemS Division of Chemistry & Environment (2020–present) Member of Water Research Perspectives Commission (2018–present) Advisory Board, VEGAS, University of Stuttgart (2014–present) His work bridges analytical chemistry , environmental toxicology , and public health , with key contributions to PFAS contamination and CKDu groundwater links . He has developed standardized methods for PFAS analysis and electrochemical oxidation protocols for contaminant degradation.

Gabriel Pasquetمشاهده پروفایل

پژوهشگر ارشد

• Carbon Sequestration
• Enhanced Oil Recovery
• Seismicity
• +۳ مورد دیگر

Gabriel Pasquet is a Postdoctoral Fellow at the Bureau of Economic Geology, University of Texas at Austin. His work focuses on carbon sequestration, enhanced oil recovery, and seismicity, with a strong emphasis on Permian Basin studies and the energy-water nexus. Current affiliation: Bureau of Economic Geology, University of Texas at Austin Position: Research Fellow Pasquet's research spans multiple disciplines, including: Carbon storage security and CO2 injection methodologies Seismic risk assessment from fluid injection activities Hydrological modeling integrating satellite data and machine learning Basin tectonics and stress field characterization Permafrost dynamics in Arctic environments Coastal system modifications and sediment transport Recent publications highlight his expertise in: Geological CO2 sequestration optimization Seismotectonic analysis of Midland Basin Formate-based oil recovery techniques Environmental impacts of energy development His work frequently intersects with: Energy economics Geophysical monitoring Reservoir characterization Machine learning applications in hydrology

• Engineering Surveying
• Deformation Measurement
• Geo-Monitoring
• +۴ مورد دیگر

Lukas Raffl is a Researcher at the Chair of Engineering Geodesy , Technical University of Munich , specializing in Alpine natural hazard monitoring and laser scanning since 2018. He holds an M.Sc. in Geodesy and Geoinformation from TUM (2017) with a focus on Engineering Geodesy & GIS , following his B.Sc. in the same field (2015). His research spans geo-monitoring , deformation measurement , and scanning total stations , particularly for rockfall and landslide prevention . Education B.Sc. Geodesy & Geoinformation, TUM (2015) M.Sc. Geodesy & Geoinformation, TUM (2017) Research Focus Alpine climate-induced natural hazards Laser scanning for deformation analysis GNSS monitoring systems Supervised point cloud matching Teaching Lecturer & exercise instructor for Introduction to Computer Science for Engineers , Surveying , and Sensor Technology courses Supervisor for 10+ Master/Bachelor theses on alpine monitoring and laser scanning Publications 15+ peer-reviewed articles (2020–2025) on TLS workflows, photogrammetry, and deformation analysis Key projects: SigScan , AlpSenseBench , and AlpSenseRely (2018–2024) Collaborations Active in international symposia (JISDM, INGEO&SIG, VGC) Contributor to Springer Handbook for Civil Engineers (2019)

Juliane Maiمشاهده پروفایل

عضو هیئت علمی

• Computational Hydrology
• Hydrological Modeling
• Sensitivity Analysis
• +۴ مورد دیگر

Juliane Mai is a Research Associate Professor at the University of Waterloo's Department of Earth and Environmental Science and a former Research Scientist at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig. Her work focuses on computational hydrology, model calibration, sensitivity analysis using high-performance computing, and data dissemination tools like HydroHub and CaSPAr. She develops blended hydrological models that combine multiple process implementations and leads large-scale intercomparison projects (GRIP-E, GRIP-GL) across North America's 3,000+ basins. Her research bridges environmental modeling with machine learning and data science, emphasizing open-access platforms for stakeholders. Key projects: GRIP-E/GRIP-GL model intercomparisons Methodological innovations: xSSA, EEE, MVA sensitivity techniques Created data portals: HydroHub for visualization, CaSPAr for climate data Her 2023 Journal of Hydrology paper outlines calibration strategies for environmental models, while 2022 Nature Communications work quantifies process sensitivities across North America. She received the 2023 ASCE-EWRI best case study award for GRIP-E research and serves on editorial boards like Journal of Hydrology .

• Marine Geology
• Paleoclimatology
• Sedimentary Proxies
• +۳ مورد دیگر

Hartmut Schulz is a Scientist at the University of Tübingen within the Department of Geosciences, specifically in the Geo- und Umweltnaturwissenschaften workgroup. He serves as Head of the Scanning Electron Microscopy Laboratory and Marine Sediment Curator. His academic career includes roles as Research Scientist at institutions like the Bundesanstalt für Geowissenschaften und Rohstoffe Hannover and the Institut für Ostseeforschung Rostock-Warnemünde. He holds a Dr. rer. nat. from Kiel University (1994) following studies at Würzburg and Kiel. His research focuses on marine geology, paleoclimatology, and sedimentary processes. Key interests include modern planktic foraminifera, monsoon reconstruction, and advanced microscopy techniques. Schulz has participated in over 20 international oceanographic expeditions, including cruises in the Arabian Sea, Mediterranean, and Arctic regions. He leads projects such as POSEIDON Reise POS514 and BIOCAN-2, investigating sediment proxies and climate change impacts. Teaching responsibilities include courses on Marine Geology, Paleoclimatology, and Electron Microscopy. He is affiliated with organizations like the Geologische Vereinigung and the American Geophysical Union. With 208+ publications and 5,535 citations (as of 2023), his work spans sediment core analysis, climate variability, and interdisciplinary oceanographic studies. Key contributions include studies on Arabian Sea monsoonal variability, Holocene climate dynamics, and glacial-interglacial transitions. His lab facilities support microanalytical research, while fieldwork emphasizes high-resolution sediment coring and environmental monitoring in oxygen-minimum zones.

• Machine Learning
• Remote Sensing
• Artificial Intelligence
• +۹ مورد دیگر

Jordi Muñoz Mari is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is a key member of the Image and Signal Processing (ISP) research group within the Image Processing Laboratory (IPL), a recognized research institute (ERI) at the university. His research focuses on the intersection of artificial intelligence, remote sensing, and environmental science. Key areas include machine learning for Earth observation, biophysical parameter retrieval, crop yield forecasting, climate modeling, and causal inference in ecological systems. He also explores applications of AI in education, particularly generative models for assessment and digital learning tools. The most recent publications highlight a strong trend toward physics-aware machine learning, uncertainty quantification, and large-scale applications using platforms like Google Earth Engine. His work spans climate extremes (medicanes, hurricanes, droughts), agricultural monitoring, biodiversity, and educational technology, demonstrating interdisciplinary innovation. Jordi Muñoz Mari completed his PhD at the University of Valencia in 2004 on telemonitoring systems for cardiac patients. His ongoing research involves advanced signal processing, kernel methods, and AI-driven geoinformation systems.

• Climate Science
• Urban Climatology
• Atmospheric Physics
• +۳ مورد دیگر

Ian Hellebosch is a doctoral researcher and fellow at the Faculty of Sciences, Ghent University , working in the Department of Physics and Astronomy . His research focuses on urban climate modeling , heat stress projections , and climate change adaptation in African cities . Research Interests : Urban heat islands, micro-scale climate modeling, heat stress monitoring, climate resilience, and stakeholder collaboration. Projects : Investigating fine-scale climate projections of heat stress in fast-growing cities (2022-2026) through Ghent University's research initiatives funded by regional and community sources. Scientific Tools : Contributing to the development of MetObs , an open-source Python toolkit for processing non-traditional meteorological observations.

Allison Michaelisمشاهده پروفایل

استادیار

• High-impact weather
• Climate change impacts
• Short-term predictability
• +۵ مورد دیگر

Allison Michaelis is an Assistant Professor in the Department of Marine, Earth and Atmospheric Sciences at North Carolina State University. Her research focuses on high-impact weather systems and their evolution under climate change, utilizing high-resolution modeling to study phenomena like tropical cyclones, atmospheric rivers, and snow storms. She holds a dual BS in Meteorology and Mathematics from NC State (2012), followed by MS (2015) and PhD (2019) in Atmospheric Science from the same institution. Before joining NC State, Dr. Michaelis served as a postdoctoral researcher at the Center for Western Weather and Water Extremes (Scripps Institution of Oceanography) and previously held an Assistant Professor position in the Department of Earth, Atmosphere, and Environment at Northern Illinois University. Her work emphasizes short-term predictability challenges involving mesoscale frontal waves and synoptic-scale weather events. No specific grants, awards, or lab affiliations are detailed in the provided text. Her research group is part of the broader Faculty network at NC State's College of Sciences.