جست‌وجوی استاد و پژوهشگر

Andrea Zuninoمشاهده پروفایل

مدرس

• Inverse Problems
• Seismology
• Computational Geoscience
• +۳ مورد دیگر

Dr. Andrea Zunino is a Lecturer at the Institute of Geophysics, ETH Zurich, within the Department of Earth and Planetary Sciences. His research focuses on developing methodologies to infer subsurface Earth properties using probabilistic approaches, including Monte Carlo methods. Key areas include inverse problems, seismology, and computational geoscience. He previously collaborated with Klaus Mosegaard on probabilistic inverse problems and geostatistics. Current work involves ambient noise seismic tomography and Hamiltonian Monte Carlo (HMC) strategies for geophysical problems. Research interests emphasize nonlinear inverse problem solutions, particularly through HMC frameworks like HMCLab, an open-source tool for diverse geophysical applications. His work integrates adjoint methods for efficient sampling and uncertainty quantification. Notable projects include borehole fiber-optic seismology in Greenland, aeromagnetic studies of Antarctic volcanic fields, and joint gravity-magnetic inversion using HMC. Publications highlight contributions to geophysical inversion techniques, seismic data analysis, and computational frameworks. He leads the Seismology and Wave Physics group, advancing probabilistic methodologies for Earth structure imaging and subsurface characterization.

Brendan Hurleyمشاهده پروفایل

استادیار

• Geospatial Science
• Conservation Biology
• Spatial Analysis
• +۵ مورد دیگر

Brendan Hurley is an Assistant Professor of Geography at George Washington University (GWU) and Director of the Graduate Certificate in GIS. He holds a B.Sc. in Wildlife Science from Virginia Tech, an M.E.M. in Coastal Environmental Management from Duke University, and a Ph.D. in Earth Systems and Geoinformation Sciences from George Mason University. His roles include membership in the International Union for Conservation of Nature (IUCN) and the GWU Cancer Center Advisory Task Force. Research interests focus on spatial clustering theory, decision-making impacts of spatial events, and geospatial applications in conservation. Current projects include analyzing gun violence and social vulnerability in collaboration with Children’s National Hospital. His prior experience includes 15 years in conservation and GIS work, including marine mammal research in the Arctic and right whale conservation in Massachusetts. Publications span marine turtle conservation frameworks, spatial variogram methodologies, and ecological studies in Arctic ecosystems. He teaches courses like Geospatial Statistics and Techniques of Spatial Analysis. Professional activities include serving on advisory boards and contributing to policy-related geospatial analyses.

Hannah Bucklandمشاهده پروفایل

پژوهشگر

• Volcanology
• Tephrochronology
• Data Analysis
• +۳ مورد دیگر

Dr Hannah Buckland is a Research Officer (postdoctoral researcher) at Swansea University’s Swansea Tephra Group, collaborating with Dr Paul Albert on a UKRI Future Leaders Fellowship grant. Her research integrates fieldwork, laboratory analysis, and computational modeling to reconstruct volcanic eruption histories and analyze ash transport dynamics. She holds a PhD in Volcanology from the University of Bristol (2017–2021), following an MSc in Volcanology and a BSc in Geology/Physical Geography from the University of Edinburgh. Her work focuses on tephra deposit analysis, grain size characterization, and improving models of ash deposition from large-magnitude eruptions. Research Interests: Buckland’s expertise spans volcanic ash studies, tephrochronology, and interdisciplinary approaches to understanding explosive eruptions. Her fieldwork involves mapping and sampling tephra deposits, while laboratory work analyzes grain size, geochemistry, and physical properties of volcanic materials. She applies these insights to refine models predicting ash transport and sedimentation, critical for volcanic hazard assessment. Recent Work Trends: Her publications address methodological challenges in tephra analysis (e.g., non-spherical particle measurement), reinterpretation of classic deposits like the Mazama tephra, and applications of high-resolution field data to improve eruption modeling. Recent studies also explore long-term volcanic records preserved in lake sediments, linking tephra layers to climatic and geological timelines. Grants & Collaborations: Supported by UKRI Future Leaders Fellowship funding, her work emphasizes interdisciplinary volcanic research. Previous roles include an AXA Research Assistantship at the University of Bristol (2016–2017). Labs/Teams: Active member of the Swansea Tephra Group, contributing to international collaborations on volcanic ash dynamics and eruption reconstructions.

• Numerical Analysis
• Computational Mathematics
• Isogeometric Analysis
• +۳ مورد دیگر

Giancarlo Sangalli is a Professor in the Department of Mathematics at the University of Pavia. His research focuses on Scientific Computing, particularly Numerical Methods and Applications, with a strong emphasis on Isogeometric Analysis (IGA) for solving Partial Differential Equations (PDEs). He leads the Scientific Computing group and contributes to interdisciplinary fields such as computational mechanics, biomedical engineering, and environmental modeling. His work integrates advanced numerical techniques, including high-order finite element methods, space-time formulations, and matrix-free solvers, to address challenges in computational efficiency and accuracy. Key areas of application include cardiac electrophysiology, wave propagation, and groundwater flow modeling. Sangalli has pioneered low-rank solvers, Tucker tensor-based methods, and immersed boundary techniques to enhance computational scalability. He actively publishes in top journals and conferences, with a focus on advancing IGA theory and its applications to real-world problems. His research also explores uncertainty quantification, Bayesian calibration, and nonlinear dynamics. Despite no explicitly listed awards, his extensive publication record reflects recognition in computational mathematics and engineering. Sangalli collaborates internationally and maintains a research website at https://mate.unipv.it/sangalli . His group's work is supported by projects in computational electromagnetics, structural mechanics, and fluid-structure interaction, demonstrating a commitment to bridging theoretical advancements with practical engineering solutions.

Adam Gillespieمشاهده پروفایل

استادیار

• Soil Biochemistry
• Organic Matter Chemistry
• Soil Health
• +۳ مورد دیگر

Dr. Adam Gillespie is an Assistant Professor at the University of Guelph, affiliated with the Ontario Agricultural College and the School of Environmental Sciences. He holds a B.Sc. from the University of Guelph, and M.Sc. and Ph.D. degrees from the University of Saskatchewan. His research focuses on soil organic matter dynamics, particularly its role in sustainable agriculture, soil health, and ecosystem resilience. Gillespie employs advanced techniques such as synchrotron-based spectroscopy, nuclear magnetic resonance (NMR), and programmed pyrolysis to investigate soil chemistry and carbon cycling. His work integrates field and laboratory studies to bridge innovative research with practical applications, including digital soil mapping and the development of models for carbon sequestration. Key areas include microplastic impacts in biosolids, soil health management, and the use of infrared spectroscopy for rapid soil property analysis. Gillespie collaborates on projects addressing nitrogen dynamics, land-use impacts on soil carbon, and the National Inventory Report carbon modeling framework. He actively mentors graduate students and leads initiatives to enhance soil science education and industry partnerships. Education: B.Sc., University of Guelph M.Sc., University of Saskatchewan Ph.D., University of Saskatchewan Research Interests: Soil organic matter characterization and stability Environmental spectroscopy (XANES, NMR, FTIR) Carbon modeling and digital soil mapping Microplastics in composts and biosolids Soil health and agricultural management practices Publications: Gillespie's research spans over 30 peer-reviewed articles, with recent work emphasizing soil carbon dynamics, microplastic degradation, and innovative analytical methods. His articles frequently appear in journals like Soil Biology and Biochemistry , Geoderma , and Nutrient Cycling in Agroecosystems . Labs and Teams: Gillespie directs the Soil Organic Matter Dynamics and Analysis Lab, which focuses on cutting-edge soil chemistry and environmental applications. Collaborative projects include the NSERC-funded microplastics initiative and the CANN2ONET network for nitrous oxide mitigation.

• Remote Sensing
• Digital Soil Mapping
• Soil Moisture Modeling
• +۳ مورد دیگر

Solmaz Fathololoumi is a researcher at the University of Guelph under the supervision of Dr. Asim Biswas. Her work focuses on advanced remote sensing techniques and digital soil mapping to address environmental challenges in agriculture, watershed management, and urban ecology. She specializes in integrating multi-source spatial data to model soil moisture, organic carbon dynamics, and land use changes. Education: Ph.D. candidate or postgraduate researcher (details not explicitly stated in text) Research interests include digital soil mapping, soil moisture modeling, environmental management, remote sensing applications in land degradation assessment, and sustainable land use planning. Her work frequently addresses case studies in Iran (e.g., Ardabil Province) and Canada (e.g., Southern Ontario). Recent publications emphasize methodologies for improving accuracy in gully erosion mapping, predicting surface urban cool islands, and quantifying prime agricultural land loss. She employs machine learning, Dempster-Schafer theory, and generalized regression neural networks in her research. Her advising role indicates involvement in guiding research projects but no explicitly listed advisees. No grants or awards are mentioned in the provided text. Solmaz collaborates with interdisciplinary teams focusing on ecological indices development and spatial decision-support frameworks for environmental management.

Mathias Vetterمشاهده پروفایل

استاد

• Statistics for Stochastic Processes
• Time Series Analysis
• Econometrics
• +۲ مورد دیگر

Mathias Vetter is a Professor of Probability Theory and Mathematical Statistics at the Department of Mathematics, Christian-Albrechts-University of Kiel (since 2015). He previously held positions as W2 Professor at Philipps University of Marburg (2013–2015) and Acting W2 Professor at Johannes Gutenberg University Mainz (2012/13). He earned his Diploma in Mathematics (minor in Philosophy) from Ruhr University Bochum in 2006 and his Doctorate in Mathematical Statistics there in 2008. He conducted a research stay at the University of Chicago in 2007. His research focuses on Statistics for Stochastic Processes , Time Series Analysis , Econometrics , and Nonparametric Statistics , with applications to financial mathematics and environmental data analysis. Recent teaching includes courses on Financial Mathematics and Stochastic Integration, as well as Nonparametric Statistics during the 2025 summer semester. His publications span advanced statistical methodologies for analyzing stochastic processes, including jump activity estimation, volatility modeling, and goodness-of-fit testing. He serves as an Associate Editor for Metrika (since 2020). Since 2024, he has chaired the Senate of his university, overseeing institutional governance. Key research trends include methodological advancements in high-frequency data analysis, nonparametric inference for discontinuous processes, and the development of robust statistical tools for complex stochastic systems. His work bridges theoretical probability and applied statistics, with applications in finance, earth sciences, and econometrics.

• Environmental Health
• Epidemiology
• Groundwater Contamination
• +۴ مورد دیگر

Nicholaus Johnson is a Research Associate in the Environmental Health Sciences department at Yale School of Public Health . His work focuses on evaluating environmental exposures from unconventional oil and gas development, groundwater contamination, and associated health impacts. Contact: nicholaus.johnson@yale.edu . Key research areas: Environmental Health, Water Quality, Shale Gas Impacts Methodologies: Spatial Epidemiology, Exposure Assessment, Machine Learning Health outcomes analyzed: Birth Defects, Childhood Leukemia, HPV Vaccination Rates

• Biochemistry
• Cardiovascular Research
• Cell Biology
• +۳ مورد دیگر

Yang Li is an Associate Research Scientist in the Department of Cell Biology at Yale School of Medicine. They hold a PhD in Bioengineering from Clemson University (2020) and an MS in Optical Engineering from Tianjin University (2015). Their research focuses on integrating statistical methodologies with biomedical applications, particularly in cancer heterogeneity analysis, clinical trial design, and single-cell transcriptomics. Current work emphasizes model selection uncertainty, adaptive randomization techniques, and prior information integration in genomic studies. Education: PhD in Bioengineering, Clemson University (2020) MS in Optical Engineering, Tianjin University (2015) Research interests span: Statistical model development for biomedical data Cancer heterogeneity through gene expression networks Adaptive clinical trial methodologies Single-cell data analysis Their recent publications highlight innovations in covariate-adjusted randomization and penalized estimation techniques for imputed datasets. Lab affiliations include the Bewersdorf Lab, where they collaborate on spatial omics and multi-omics sequencing technologies. No awards explicitly listed, but their active grant-funded research includes NIH-supported projects on statistical methods for clinical trials and genomic analysis.

• Geophysics
• Geostatistics
• Environmental Engineering
• +۵ مورد دیگر

João Narciso is an Invited Assistant Professor at the Department of Mineral and Energy Resources Engineering, Higher Technical Institute. His research focuses on geostatistical inversion techniques applied to geophysical data, with emphasis on electromagnetic and seismic methods for near-surface characterization, landfill modeling, and resource exploration. He teaches Geophysical Interpretation and Inversion and is affiliated with CERENA (www.cerena.pt/user/596). Key research areas include integrating FDEM (frequency-domain electromagnetic) and ERT (electrical resistivity tomography) data for 3D subsurface modeling, developing algorithms for self-updating probability distributions in seismic inversion, and assessing heterogeneous environments through electromagnetic methods. His work addresses practical challenges in environmental monitoring, waste management, and seismic hazard assessment in regions like the Lisbon area and Lower Tagus Valley Fault Zone. Publications emphasize methodological advancements (e.g., randomized tensor decomposition for FDEM inversion) and real-world applications (e.g., landfill characterization and resource deposit modeling). While no awards are listed, his contributions highlight innovative approaches to geophysical data integration and uncertainty quantification. Teaching and advising activities are not explicitly detailed in the provided materials, though his academic role suggests involvement in student mentorship. Collaborations likely extend to interdisciplinary teams addressing geotechnical and environmental challenges in Portugal and beyond.

• Geostatistics
• Spatial Epidemiology
• Environmental Health
• +۴ مورد دیگر

Manuel Ribeiro serves as an Invited Assistant Professor in the Department of Mineral and Energy Resources Engineering at the School of Engineering, University of Lisbon, where he teaches Sampling and Environmental Analysis Methods, Multivariate Analysis of Regionalized Data, and Statistical Learning for Earth and Environmental Engineering. Affiliated with the CERENA research unit, his academic role bridges engineering and environmental health sciences through spatial statistics applications. His research program centers on geostatistical methodologies for environmental epidemiology, with pioneering work on lichen-based air quality indicators and spatial uncertainty quantification in health exposure studies. Core interests include multivariate geostatistics for ecological associations, spatiotemporal disease modeling, and high-resolution environmental risk mapping, particularly examining air pollution's impact on birth outcomes and pandemic dynamics. Analysis of his 15 most recent publications reveals a dominant focus on applying geostatistical simulation to public health crises (notably COVID-19) and environmental health questions. His work consistently integrates R-based open-source tools, with significant contributions to uncertainty visualization in disease mapping and agricultural resource management. The research demonstrates strong regional emphasis on Portuguese case studies while developing transferable methodological frameworks for spatial epidemiology. No scientific awards were documented in the source materials. As part of CERENA's research ecosystem, Ribeiro collaborates extensively on interdisciplinary projects involving environmental monitoring and health impact assessment, though specific advising roles or grant details were not provided in the source texts. His methodological innovations in spatial statistics directly support CERENA's mission in earth resources and environmental sustainability.

• Sustainable Georesources Engineering
• Geospatial Data Science
• Mining Planning
• +۵ مورد دیگر

Helga Jordan is an Assistant Professor at the Department of Mineral and Energy Resources Engineering, Instituto Superior Técnico (University of Lisbon). She specializes in sustainable georesources engineering, integrating geospatial data science, mining planning, and mineral processing. Her research focuses on applying advanced computational methods like Bayesian neural networks and generative adversarial networks to geological modeling and resource recovery challenges. She is affiliated with the Center for Natural Resources and Environment (CERENA) and teaches courses such as Geospatial Data Science and Design of Mineral Processing Facilities. Her research interests span the intersection of machine learning and geosciences, including uncertainty quantification in geological models, environmental impact assessment of mining activities, and innovative recycling technologies for metal recovery from waste streams. She has contributed to projects like the Digital Twin Earth initiative for coastal flood modeling and the optimization of mineral processing equipment using statistical design methodologies. Key research areas include: Deep learning applications in geological data analysis Waste-to-resource transformation technologies Environmental sustainability in mineral resource management Her work bridges fundamental research with industrial applications, particularly in improving resource efficiency and reducing environmental footprints in mining and urban contexts.

Tyler Hallmanمشاهده پروفایل

مدرس

• Wildlife Ecology
• Conservation Biology
• Global Change Biology
• +۳ مورد دیگر

Dr. Tyler Hallman is a Lecturer in Wildlife Ecology & Conservation at Bangor University's School of Environmental and Natural Sciences. His research focuses on understanding how biodiversity responds to human-driven environmental change, with particular emphasis on species distribution modeling, community science methodologies, and conservation applications. Education: PhD in Wildlife Science (Oregon State University, 2019), MSc in Zoology (Southern Illinois University, 2012), BA in Organismal Biology (Pitzer College, 2007). Research interests include global change impacts on wildlife distributions, optimizing citizen science data for conservation, and evaluating ecosystem services linked to avian biodiversity. Key projects include the CASCADE network as Bangor's focal point and the EU-funded SPEAR project. Teaching responsibilities include module organization for Conservation Management Planning and contributions to Wildlife Ecology, Conservation Principles, and Practice modules. He supervises PhD students and engages in interdisciplinary collaborations across ecology, statistics, and environmental governance. Publications emphasize methodological advancements in ecological modeling, habitat analysis, and long-term avian population trends. His work bridges academic research with actionable conservation strategies, leveraging remote sensing, geospatial techniques, and community engagement.

Moreno Bevilacquaمشاهده پروفایل

دانشیار

• Spatial Statistics
• Covariance Modeling
• Geostatistics
• +۳ مورد دیگر

Moreno Bevilacqua is an Associate Professor in the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice. His research focuses on spatial statistics, covariance modeling, and geostatistical methods, with applications in environmental and multivariate analysis. He has contributed to advancing covariance functions, composite likelihood approaches, and spatial data modeling techniques. Recent publications emphasize statistical methodologies for spatial and spatiotemporal data, including extensions of the Matérn model, composite likelihood for massive datasets, and copula-based approaches for bounded support data. His work bridges theoretical advancements and practical applications in environmental science and statistical computing. No scientific awards or grants are explicitly mentioned in the provided texts. Teaching activities include courses in statistics for undergraduate programs in Business Economics, covering foundational and advanced statistical methods. Current office location: Assegnisti A1 office (Zeta A building, 1st floor), Campus via Torino.

Brendan F. O'Learyمشاهده پروفایل

پژوهشگر ارشد

• Urban Hydrology
• Environmental Contaminant Fate and Transport
• Geostatistical Modeling
• +۳ مورد دیگر

Brendan F. O'Leary is a Research Fellow at Wayne State University's Center for Leadership in Environmental Awareness and Research (CLEAR), affiliated with the College of Liberal Arts and Sciences. He holds joint appointments in the Biological Sciences and Civil and Environmental Engineering departments. His research focuses on contaminant fate and transport in urban environments, with emphasis on human health risks and remediation strategies. Dr. O'Leary earned a B.Sc. in Environmental Science and Geology from Allegheny College (2011), an M.Sc. in Geology from Wayne State (2014), and a dual Ph.D. in Civil Engineering and Urban Sustainability from Wayne State (2023). Key research areas include urban hydrology, geostatistical modeling of contaminants, and environmental justice. He develops field screening techniques and numerical models for volatile organic compounds (VOCs) in urban settings. His work bridges environmental science with community engagement, such as participatory air pollution monitoring in the Ohio River Valley. Publications highlight interdisciplinary approaches to groundwater management, urban air quality, and health impacts of BTEX compounds. Notable projects include assessing Brownfield remediation's socioeconomic effects and evaluating groundwater challenges in the Great Lakes region. He teaches Applied Geologic Mapping (ESG 5650) and contributes to courses on environmental contaminants. Grants/Labs: Active in CLEAR initiatives and collaborative projects with the Great Lakes Executive Committee. Awards: None explicitly mentioned. Future work emphasizes integrating community science with environmental policy to address urban sustainability challenges, particularly in post-industrial cities like Detroit.