جست‌وجوی استاد و پژوهشگر

Antoine Guittonمشاهده پروفایل

استاد مدعو

• Geophysics
• Seismic Imaging
• Full-Waveform Inversion
• +۳ مورد دیگر

Antoine Guitton is an Adjunct Professor at Stanford University, specializing in geophysical signal processing and seismic imaging. His research focuses on advanced seismic data processing techniques, including full-waveform inversion, compressive sensing, and the mitigation of artifacts in seismic surveys. He is affiliated with Stanford's geophysics program and can be contacted at aguitton@stanford.edu. Key research interests include wavefield tomography, anisotropic media analysis, and machine learning applications in geophysics. His work addresses challenges such as Doppler effect correction in marine vibrator data, nonstationary statistical modeling, and fault classification using distributed acoustic sensing (DAS). Recent contributions include studies on salami publications in scientific ethics and the optimization of seismic data acquisition systems under field constraints. His publications span over two decades, demonstrating expertise in both theoretical and applied aspects of geophysical exploration.

Timothy Melbourneمشاهده پروفایل

استاد

• Seismology
• Continental Dynamics
• GNSS Geodesy
• +۳ مورد دیگر

Timothy Melbourne is a Professor at Central Washington University, specializing in seismology, continental dynamics, and GNSS geodesy. He holds a Ph.D. from the California Institute of Technology (1999). His research focuses on advancing real-time geodetic monitoring systems for earthquake early warning and tsunami forecasting, leveraging Global Navigation Satellite System (GNSS) technologies. He is a key contributor to initiatives like the Pacific Northwest Geodetic Array and the ShakeAlert system. His work emphasizes integrating geodetic data with seismological observations to improve disaster risk reduction strategies. Major contributions include developing algorithms for rapid earthquake source characterization and enhancing the performance of GNSS networks in detecting tectonic deformation during seismic events. Melbourne collaborates internationally on projects such as the GeTEWS Oceania workshop and the CRESCENT Working Group, aiming to standardize global Earth observation systems (GGOS). His publications highlight advancements in noise mitigation for real-time GNSS data, spatial analysis of crustal deformation, and vertical land motion studies related to sea-level rise. He has been pivotal in demonstrating the operational feasibility of GNSS-based early warning systems through synthetic testing and real-world applications like the 2019 Ridgecrest earthquakes.

• Ionospheric Physics
• Global Navigation Satellite Systems (GNSS)
• Space Geodesy
• +۴ مورد دیگر

Maria Angeles Aragon-Angel is a full professor at Universitat Politècnica de Catalunya (UPC) in the Department of Mathematics, part of the gAGE - Grup d'Astronomia i Geomàtica research group. Her work focuses on ionospheric physics, satellite navigation systems (GNSS), and space geodesy. She has led multiple research projects including studies on Galileo HAS/SAS validation, real-time ionospheric scintillation monitoring, and neural network-based TEC forecasting. Education: PhD in Aerospace Science and Technology from UPC. She has authored over 174 publications, with an h-index of 15. Key projects include contributions to the ESA Moonlight project, ESEAS sea level monitoring, and validation of NeQuick ionospheric models. Research interests include ionospheric tomography, GNSS error mitigation, and applications of GNSS data in space weather monitoring. Awards include Best Presentation at IEEE Geoscience Letters (2025) and Horizon Student Paper Sponsorship (2008).

Fred K. Boaduمشاهده پروفایل

دانشیار

• Geophysics
• Civil Engineering
• Environmental Engineering
• +۳ مورد دیگر

Fred K. Boadu is an Associate Professor at Duke University's Pratt School of Engineering , with additional appointments at the Duke Global Health Institute . His work bridges geophysics and civil/environmental engineering , focusing on non-invasive characterization of soil properties and sustainable infrastructure solutions in tropical environments. Education : PhD in Geophysics (Georgia Tech, 1994), M.S. in Geophysics (University of Calgary), Post-Graduate Diploma in Applied Geophysics (McGill University), B.S. in Geological Engineering (University of Science and Technology, Ghana) Research Interests center on petrophysical characterization of soils, geophysical methods for engineering applications, groundwater contamination studies in agricultural zones, and machine learning techniques for predicting geotechnical properties from electrical measurements. Selected Articles demonstrate trends in asphalt modification , fractal modeling of soil properties, and stress-dependent geophysical analysis for infrastructure applications in Ghana and tropical regions. Scientific Awards : Junior Faculty Enhancement Award - Applied Science Category (1997, University Oak Ridge Associated Universities) Seed Grant for 'Belonging While Black at Duke' (2021, Duke Office for Faculty Advancement) Grant History includes NASA and NSF funding for projects spanning electromagnetic earthquake signal analysis , groundwater sustainability in rural Ghana, and electrical-geotechnical correlation studies. As Director of Masters Studies (since 2024), he influences academic leadership and curriculum development in civil engineering education.

• Ionospheric Physics
• Satellite Navigation
• Geodesy
• +۳ مورد دیگر

Maria Angeles Aragon Angel is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Departament de Matemàtiques and the gAGE - Grup d'Astronomia i Geomàtica research group. Her work focuses on ionospheric physics, satellite navigation systems, and geodetic applications. She holds a PhD in Aerospace Science and Technology and has contributed extensively to GNSS technology, ionospheric modeling, and educational initiatives in science. University: Universitat Politècnica de Catalunya Key Roles: Researcher, Educator Research Group: gAGE (Astronomy and Geomatics) Her research interests include real-time ionospheric monitoring, GNSS error correction, and the application of machine learning in space weather analysis. She has led projects like IONO-DeCo and contributed to the development of ionospheric correction algorithms for Galileo systems. Publications span domains like ionospheric scintillation detection, neural network-based forecasting, and high-precision positioning techniques. Awards include the Best Presentation Award at an international GNSS conference.

Lei Yangمشاهده پروفایل

استادیار

• Hardware/Software Co-Exploration for Neural Network Architectures
• Embedded Systems
• Automated Machine Learning
• +۴ مورد دیگر

Dr. Lei Yang is an Assistant Professor in the Department of Information Sciences and Technology at George Mason University, focusing on Hardware/Software Co-Exploration for Neural Network Architectures, Embedded Systems, and High-Performance Computing. Previously, she served as an Assistant Professor at the University of New Mexico and held post-doctoral and research scholar positions at Notre Dame, UC Irvine, and the University of Pittsburgh. Research Interests: System-Level Optimization for Applied Machine Learning Automated Machine Learning (AutoML) Federated Learning for Medical AI and Drug Discovery Quantum Neural Networks and Dark Silicon Many-Core Systems Thermal-Aware and Energy-Efficient Computing Award Trends: 50+ publications in premier venues like DAC, ICCAD, and IEEE Transactions, with multiple Best Paper Awards and Nominations. Notable recognitions include the 2021 IEEE TCAD Donald O. Pederson Best Paper Award and the 2017 ICCD Best Paper Award. Honors & Service: General Chair, SIGDA Student Research Forum at ASP-DAC 2023 Organizer, E2ML Workshop at GLVLSI 2021 Registration Chair, ICCD 2021 TPC Member, DAC 2022, ICCAD 2021, and IEEE SOCC 2020

Emily Eidamمشاهده پروفایل

دانشیار

• Sediment Transport
• Coastal Oceanography
• Arctic Environmental Change
• +۳ مورد دیگر

Emily Eidam is an Associate Professor at Oregon State University's College of Earth, Ocean, and Atmospheric Sciences. Her research focuses on sediment transport processes across fluvial, coastal, and continental shelf systems, with a strong emphasis on Arctic and sub-Arctic environments undergoing rapid environmental change. She holds a Ph.D. in Oceanography (2017), an M.S. in Oceanography (2013), and dual B.S. degrees in Geological Sciences and Civil Engineering (2010 and 2008). Research interests include sediment dynamics in riverine and coastal systems, short-timescale depositional histories, and the impacts of climate change on Arctic environments. Her work integrates field observations, numerical modeling, and novel sensor technologies to study sediment dispersal patterns and coastal evolution. The Eidam Lab develops low-cost sensors for real-time monitoring of sediment transport and collaborates on projects such as the Beaufort Lagoon Ecosystem Long Term Ecological Research program. Key projects include studying sediment fluxes in boreal rivers, modeling Arctic delta evolution under sea ice conditions, and investigating coastal bluff erosion in Greenland. Her group also engages in STEM outreach, such as K-12 education initiatives focused on Arctic research challenges. Current collaborations include the Collaborative Research: Sediment and Stability project on Greenland tidewater glaciers and the Coastal Ocean Dynamics in the Arctic (CODA) initiative. She leads efforts in open-source software development, such as the icepyx tool for glaciological data analysis.

William Kleiberمشاهده پروفایل

دانشیار

• Spatial Statistics
• Geostatistics
• Uncertainty Quantification
• +۵ مورد دیگر

William Kleiber is an Associate Professor in the Department of Applied Mathematics at the University of Colorado Boulder, specializing in spatial statistics for geophysical applications and renewable energy systems. His work bridges advanced statistical theory with practical environmental challenges, particularly in climate modeling and uncertainty quantification. Education: Ph.D. in Statistics, University of Washington (2010) Dr. Kleiber's research centers on spatial statistics and geostatistics for large-scale nonstationary datasets, with significant contributions to statistical climatology , stochastic weather generators , and uncertainty quantification in geophysical models. His methodologies address critical energy science challenges, including solar irradiance forecasting and renewable resource assessment. Recent work integrates machine learning with spatial statistics to handle massive multivariate environmental data, advancing predictive capabilities for climate extremes and renewable energy systems. His 2023-2025 publications reveal a strong trend toward hybrid statistical-machine learning approaches for environmental data, emphasizing uncertainty-aware predictions in snow hydrology, sea surface temperature reconstruction, and extreme weather events. This work consistently tackles the computational and theoretical challenges of high-dimensional spatial processes. Scientific Awards: American Statistical Association's Section on Statistics and the Environment 2016 Young Investigator Award Dr. Kleiber has served on the Board of Directors for The International Environmetrics Society and the American Statistical Association's Section on Statistics and the Environment, and contributed to editorial boards of leading statistical journals. His research has been supported by collaborative grants including 'Collaborative Research: Theory and Methods for Highly Multivariate Spatial Processes with Applications to Climate Data Science' (2018) and 'Scalable Statistical Validation for Large Spatio-Temporal Datasets' (2014). Current projects focus on integrating deep learning with spatial statistics for renewable energy forecasting and climate risk assessment. He maintains active international collaborations, evidenced by his 2016 Lebesgue Chair visiting professorship at University of Rennes 1, France, and partnerships with the National Center for Atmospheric Research where he previously conducted postdoctoral research.

Anastasia Sofroniouمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Chaos Theory
• Mathematics Education
• +۴ مورد دیگر

Professor Anastasia Sofroniou is a Professor of Mathematics and Course Leader for the BSc (Hons) and MSc Mathematics and Statistics programs at the School of Computing and Engineering, University of West London. She also serves as Lead of Professional Engagement within the institution. Her academic career spans multiple disciplines, with publications ranging from pure mathematics to educational research. Dr. Sofroniou completed her BSc Mathematics with Economics from University College London, followed by an Interdisciplinary MSc in Mathematics from Kings College London and Imperial College London. She furthered her education with a certificate course in Data Analysis for Management from London School of Economics and Political Science and earned her PhD in Applied Mathematics from University College London. Her research interests have evolved significantly over her career. Initially focused on Nonlinear Dynamics and Chaos within applied mathematics, she has more recently expanded her work into Educational Mathematics, with numerous publications examining teaching methods, student satisfaction, and computational thinking in mathematics education. Her work demonstrates a clear transition from theoretical mathematical research to practical educational applications. Her recent publications (2023-2025) show a strong focus on two main areas: mathematical analysis of the swing equation (related to power systems stability) and educational research in mathematics teaching. The swing equation papers demonstrate her continued engagement with nonlinear dynamics, while her educational research reflects her commitment to improving mathematics pedagogy. Professor Sofroniou has received notable recognition for her research, including the Andrew Rosen Prize for research excellence in Applied Mathematics and the Lighthill Scholarship Award in Mathematics (awarded twice). She holds prestigious professional affiliations including Principal Fellow of the Higher Education Academy (PFHEA), Fellow of the Institute of Mathematics and its Applications (FIMA), and membership in both the London Mathematical Society and The Mathematical Association. Her teaching responsibilities span numerous programs across mathematics, engineering, and computer science disciplines at the University of West London.

Mallika Noccoمشاهده پروفایل

استادیار

• Agrohydrology
• Soil-plant-water relations
• Irrigation management
• +۷ مورد دیگر

Mallika Nocco is an Assistant Professor and Extension Specialist in Agrohydrology at the University of Wisconsin-Madison's Department of Biological Systems Engineering (College of Agricultural and Life Sciences). Her work bridges agricultural engineering, hydrology, and environmental science to advance sustainable water management practices. Education: B.A. in Cultural Studies & Comparative Literature/Philosophy (2004), University of Minnesota M.S. in Soil Science (2012), University of Wisconsin-Madison Ph.D. in Environment and Resources (2017), University of Wisconsin-Madison Research Interests: Dr. Nocco focuses on agrohydrology, soil-plant-water relations, and irrigation management. Her lab develops precision agriculture tools using remote sensing and integrates science communication through the Water Talk podcast. Key areas include: Climate resilience strategies for crops Managed aquifer recharge techniques Evapotranspiration modeling for water efficiency Soil health and carbon sequestration Publications Trends: Recent work emphasizes interdisciplinary approaches, with studies on almond orchard water management, cover crop impacts, and CO2 sequestration via enhanced weathering. Remote sensing innovations dominate technical outputs, while extension-focused projects address grower education and policy. Awards: 2024 Science Communication Fellowship 2023 Soil and Water Conservation Innovation Award 2017 David H. Smith Postdoctoral Fellowship Advising & Grants: Supervises graduate students in soil science and remote sensing applications. Leads projects funded by USDA, NSF, and industry partnerships, focusing on precision irrigation and environmental justice in agriculture. Labs/Teams: Director of the Conservation Irrigation Lab, collaborating with growers, policymakers, and engineers to translate research into actionable strategies. Active in the Tree-crop Remote Sensing (T-REX) initiative for climate-resilient agroecosystems.

Robert Smalley, Jr.مشاهده پروفایل

استاد پژوهشی

• Seismotectonics
• Active Tectonics
• Physical Earthquake Modeling
• +۵ مورد دیگر

Dr. Robert Smalley, Jr. is a Research Professor at the University of Memphis, affiliated with the Center for Earthquake Research and Information (CERI). He holds a Ph.D. in Geophysics and Seismology from Cornell University (1988), an M.S. in Physics from Cornell (1978), and a B.S. in Physics from Rensselaer Polytechnic Institute (1975). His research focuses on seismotectonics, active tectonics, and physical earthquake modeling, utilizing GPS geodesy and seismology to study crustal deformation processes. Key projects include investigations of deformation in the central Andes, Scotia Arc, and Antarctic regions, as well as postseismic effects of major earthquakes like the 2010 Maule Chile event. Teaching includes courses such as Data Analysis in Geophysics and Global Seismology, emphasizing practical applications of geodetic and seismic data. Smalley has advised multiple graduate students, including Demián Gomez (Ph.D. 2016) and Adewale Amosu (Ph.D. 2014). His work integrates high-rate GPS data with traditional seismology to explore earthquake mechanics, crustal strain, and tectonic processes. Collaborations span international initiatives like POLENET, focusing on Antarctic geodynamics and ice sheet interactions. Research highlights include studies on coseismic deformation, glacial rebound in Patagonia, and the role of GPS in hazard assessment. His publications address topics ranging from Andean orogenic wedge dynamics to ionospheric disturbances triggered by megathrust earthquakes. Smalley’s contributions bridge observational geodesy and theoretical models, advancing understanding of Earth’s dynamic systems.

• Land surface processes in the Arctic
• Modeling permafrost landscape dynamics
• Thermal remote sensing
• +۳ مورد دیگر

Dr. Moritz Langer is a Researcher at the Alfred Wegener Institute (AWI), specializing in permafrost research. His work focuses on land surface processes in the Arctic, modeling permafrost landscape dynamics, and thermal remote sensing. He leads the BMBF Young Investigator Group PermaRisk, which assesses erosion processes in permafrost landscapes under climate change, evaluating risks to ecosystems and infrastructure in the Arctic. His research integrates field observations, remote sensing, and numerical modeling to understand permafrost degradation mechanisms. Key projects include studies on thermokarst patterns, ice-rich permafrost response to warming, and the thermal regime of Arctic rock walls. Langer’s contributions span over 200 publications, emphasizing interdisciplinary approaches to climate change impacts on permafrost regions. Langer collaborates with international teams and utilizes advanced technologies like satellite imagery, terrestrial laser scanning, and eddy covariance systems. His work addresses critical challenges such as thaw subsidence, methane emissions from frozen ponds, and the vulnerability of Arctic infrastructure to permafrost thaw.

Motagh M.مشاهده پروفایل

پژوهشگر

• Remote Sensing
• Geodesy
• Seismology
• +۳ مورد دیگر

Motagh M. is a Researcher at the Deutsches GeoForschungsZentrum (GFZ) in Potsdam, Germany. With expertise in Remote Sensing and Geodesy , their work focuses on geohazard assessment through satellite-based interferometric techniques. Current research explores land subsidence in Afghanistan and Iran using Sentinel-1 data Developing hybrid machine learning models for landslide susceptibility assessment Pioneering quantum machine learning applications in deformation detection Investigating mining-induced subsidence in Germany's Hambach region Contributing to multi-sensor InSAR integration for complex geological analysis Publications since 2011 demonstrate sustained contributions to: Earthquake source modeling (e.g., Christchurch 2011, Maule Chile 2010) Volcanic deformation studies in Iceland Environmental geoscience applications across three continents Collaborations span institutions in: New Zealand (University of Canterbury, GNS Science) Iran (University of Tehran, K. N. Toosi University) Germany (GFZ Potsdam, Technical University Munich) USA (University of Miami)

• Glaciology
• Climate Science
• Polar Research
• +۳ مورد دیگر

Andreas Frenzel is a Researcher at the Alfred Wegener Institute (AWI), specializing in glaciology with a focus on borehole measurements, physical properties of ice cores, and information systems. He is affiliated with the Department of Glaciology and has contributed significantly to projects such as the EPICA ice core drilling in Antarctica. His work includes advancing drilling technologies, analyzing ice core dynamics, and studying Antarctic climate variability. Research Interests: Borehole measurements, ice core densification, seismic and electrical profiling, and Antarctic climate reconstruction. He has been involved in constructing and operating research stations like the Kohnen Station and has expertise in field instrumentation and logistics. Key Contributions: Co-authored studies on the EPICA Dronning Maud Land drilling operation, densification of polar firn, and in situ ice deformation measurements. His technical expertise includes developing methods for borehole logging and DEP (Dielectric Profiling) during rapid access drilling. Roles: Safety Representative at AWI, contributing to safety protocols in polar fieldwork. His research integrates geophysical and glaciological methods to address climate and ice sheet dynamics.

Claudia Kuenzerمشاهده پروفایل

پژوهشگر

• Remote Sensing
• Environmental Science
• Geoscience
• +۵ مورد دیگر

Claudia Kuenzer is a Senior Researcher and Head of the 'Land Surface Dynamics' Research Group at the German Earth Observation Center (EOC) of the German Aerospace Center (DLR). She serves as the Overall Scientific Project Coordinator for initiatives such as WISDOM, DELIGHT, and DRAGON-3. Her expertise spans multispectral, thermal, and radar remote sensing, with a focus on environmental monitoring, land surface dynamics, and capacity-building in geosciences and resource management. She has held leadership roles in projects addressing coal fires, forest fires, and integrated watershed management in Asia. Dr. Kuenzer holds a PhD in Earth Sciences and has conducted research at institutions including the University of Trier (Germany), Western Washington University (USA), and Beijing Normal University (China). Her work integrates remote sensing with GIS to address global challenges like climate change impacts, disaster response, and sustainable resource management. She has coordinated large-scale international collaborations, notably in Southeast Asia and Europe. Key areas of focus include satellite-based monitoring of vegetation, surface water dynamics, and coastal changes. She has pioneered methodologies for analyzing long-term environmental trends using multi-decadal satellite datasets. Her contributions extend to policy-oriented applications, such as vulnerability assessments and knowledge systems for adaptive management in regions like the Mekong Delta. Her research outputs include over 150 peer-reviewed articles, focusing on remote sensing applications in forestry, hydrology, and climate science. She leads DLR’s efforts in developing innovative tools for Earth observation data analysis, including deep learning approaches for glacier monitoring and supraglacial lake dynamics. Her team also explores offshore wind energy infrastructure tracking and permafrost erosion monitoring in Arctic regions.