جست‌وجوی استاد و پژوهشگر

David Hyndmanمشاهده پروفایل

استاد

• Hydrogeology
• Remote Sensing
• Climate Impacts on Water Resources
• +۴ مورد دیگر

Dr. David Hyndman is currently the Francis S. & Maurine G. Johnson Distinguished University Chair and Dean of the School of Natural Sciences and Mathematics at The University of Texas at Dallas, where he is also a Professor of Geosciences. Previously, he served as Professor and Chair of the Department of Earth and Environmental Sciences at Michigan State University (1995–2020). His academic preparation includes a BS in Hydrology from the University of Arizona (1989), and MS and PhD in Hydrogeology from Stanford University (1993, 1995). His research focuses on hydrogeology, remote sensing, groundwater conservation, and climate impacts on water resources . He pioneered the application of geophysical methods to agricultural and environmental problems, notably advancing agrogeophysics . His work integrates hydrologic models with remote sensing data to address challenges like aquifer management and agrisolar co-location effects on the food-energy-water nexus. Dr. Hyndman holds prestigious awards including Fellowships from the American Association for the Advancement of Science (2022) and the Geological Society of America (2006). He has led the Hydrogeology Lab at UT Dallas and served as Associate Editor for journals like Groundwater and Water Resources Research . His recent publications emphasize interdisciplinary solutions to water sustainability and climate adaptation. As Dean, he oversees interdisciplinary initiatives in natural sciences and mathematics, fostering innovation in research and education. His career reflects a commitment to integrating geoscience with societal challenges, from groundwater policy to sustainable land-use practices.

Evgeny Spodarevمشاهده پروفایل

استاد

• Convex and Stochastic Geometry
• Spatial Statistics
• Limit Theorems for Stochastic Processes
• +۳ مورد دیگر

Prof. Dr. Evgeny Spodarev is a full W3 Professor of Applied Statistics and Director of the Institute of Stochastics at the University of Ulm. He holds a dual academic background from Lomonosov Moscow University (Moscow, Russia) and Friedrich Schiller University Jena (Germany), and has held prominent roles including Dean of Mathematical Studies (2013–2017). His research focuses on convex and stochastic geometry, spatial statistics, limit theorems for stochastic processes, and applications in image analysis and risk modeling. He has organized numerous international conferences and workshops, including the German-Japanese Autumn School on Time Series (2024) and the Stochastic & Integral Geometry conference (2025). Notable awards include the Merckle Research Prize (2005). His work spans theoretical contributions to applied domains like anomaly detection in 3D images and statistical methods for material science. Education: 1991–1996: Diploma in Probability Theory and Stochastic Processes, Lomonosov Moscow University 2001: PhD from Friedrich Schiller University Jena Research Interests: Convex and stochastic geometry Spatial statistics and random field analysis Limit theorems for stochastic processes Image analysis with applications to materials science Anomaly detection in 3D imaging Statistical modeling of natural catastrophes Recent Contributions: His work bridges theoretical probability with applied challenges in engineering and materials science, including geometric methods for fullerene analysis and stochastic models for traffic prediction. Current projects involve anomaly detection in spatial data (DAnoBi) and collaborations with institutions like TU Kaiserslautern. Awards: Merckle Research Prize (2005) Teaching & Leadership: Leads stochastic analysis education at Ulm, supervises graduate students, and has developed courses on stochastic processes and mathematical statistics.

David Sabatiniمشاهده پروفایل

استاد

• Sustainable Water Systems
• Environmental Engineering
• Surfactant Technology
• +۳ مورد دیگر

David Sabatini is the David Ross Boyd Professor and Sun Oil Company Chair at the Gallogly College of Engineering, University of Oklahoma. He has been affiliated with OU since 1989 and serves as Founding Director of the WaTER Center and Associate Director of the Institute for Applied Surfactant Research. His research focuses on sustainable water systems for developing regions, surfactant-based environmental technologies, and contaminant transport remediation, emphasizing interdisciplinary solutions at the nexus of technology, economics, and human behavior. Education: Ph.D. in Civil Engineering from Iowa State University, M.S.C.E. from Memphis State University, and B.S.C.E. from the University of Illinois. Research interests include water technologies for emerging regions, groundwater quality management, and wastewater treatment innovations. He explores surfactant applications in environmental remediation and biofuel development. His work integrates technical, economic, and social dimensions to address water security challenges. Key contributions include books on subsurface transport processes and surfactant-enhanced remediation. His recent articles focus on phosphorus recovery, cold-water detergency, and water access modeling in Ghana. He leads interdisciplinary teams at WaTER Center to advance equitable water solutions for low-income regions. Labs/Teams: Directs WaTER Center and collaborates with the Institute for Applied Surfactant Research. His research groups address global water challenges through innovation in filtration materials, surfactant formulations, and sustainable infrastructure design.

Avit Kumar Bhowmikمشاهده پروفایل

استادیار

• Climate Change Mitigation
• Sustainability Studies
• Social Dynamics and Tipping Points
• +۳ مورد دیگر

Avit Kumar Bhowmik is an Assistant Professor at Karlstad University's Department of Risk and Environmental Studies Research, specializing in climate solutions and sustainability transformation. He holds a Ph.D. in Spatial Environmental Health from the University of Koblenz-Landau, Germany, and has conducted interdisciplinary research spanning Environmental Health, Planning, and Geoinformatics. His work focuses on rapid climate action, positive social tipping points, and integrating science into policy frameworks for achieving Sustainable Development Goals (SDGs). He has contributed to high-impact reports for global climate summits like COP and the UN High-Level Political Forums. Current projects include the Alliance of Regional Innovation Ecosystems (ARIES4) funded by the European Commission and a MIRAI 2.0 project on marketing technology for reducing food waste. Dr. Bhowmik advises municipalities, industries, and NGOs on climate strategies, serving as Co-founder/Director of The Long Game initiative with UNFCCC partners. He also chairs the Scientific Steering Committee of the Analysis, Integration, and Modeling of the Earth System (AIMES) and advises the African Circular Business Alliance. His research emphasizes multi-scale climate action frameworks and has been published in leading journals like Proceedings of the National Academy of Sciences (PNAS) and Environmental Research Letters . Key collaborations include work with the Stockholm Resilience Centre, Project Drawdown, and the Exponential Roadmap Initiative. His educational background includes a B.Sc. in Urban and Regional Planning from Bangladesh University of Engineering and Technology, an M.Sc. in Geospatial Technology via an Erasmus Mundus program, and postdoctoral roles with the Earth League and Future Earth networks. He actively bridges academic research with actionable policy through innovative frameworks like the 'Powers of 10' approach.

• Stratigraphy
• Sedimentary Geology
• Integrated Reservoir Modeling
• +۷ مورد دیگر

Peter Süss is a Professor in the Department of Geosciences at the Faculty of Science, University of Tübingen, Germany. He is based at the Geo- and Environmental Research Center (GUZ) and has been a key figure in sedimentary geology and basin analysis research. His academic journey includes a PhD from the University of Bonn and postdoctoral work at both the University of Bonn and Harvard University. He advanced through the ranks at Tübingen, becoming Privatdozent in 2005 and Extraordinary Professor in 2016. Born: October 10, 1967, Munich Dipl. Geol: University of Bonn / TU Clausthal (1986–1992) PhD: University of Bonn (1992–1996) Post-Doc: University of Bonn (1996–1998) Postdoctoral Fellow: Harvard University (1998–1999) Assistant: University of Tübingen (1999–2005) Lecturer (Privatdozent): University of Tübingen (2005) Professor: University of Tübingen (2016) His research focuses on stratigraphy, sedimentary geology, integrated reservoir modeling, numerical sedimentology, geostatistics, subsurface energy resources, and seismic velocity modeling . He applies advanced modeling techniques to understand basin evolution and reservoir characteristics. His work integrates field observations, seismic data, and numerical simulations to reconstruct paleoenvironments and tectonic influences on sedimentation. The recent publications highlight a strong trend in foreland basin dynamics, reservoir quality assessment in sedimentary basins (e.g., Dahomey, Tarfaya), sequence stratigraphy across diverse settings, and high-resolution reservoir modeling . There is a consistent emphasis on integrating tectonics with sedimentation, particularly in Variscan and Alpine systems, and on applying process-based models to improve subsurface predictions. His collaborative work on the Community Fault Model for Southern California underscores expertise in seismic and structural modeling. Peter Süss has not been explicitly awarded any scientific prizes in the provided text. While no formal list of students is provided, his role as a professor and PhD supervisor implies academic mentorship. There is no mention of specific grants or funding sources in the available information. He leads research within the Geo- and Environmental Research Center at Tübingen, focusing on basin analysis and subsurface modeling. His work bridges academic research and industrial applications, particularly in energy resource exploration and storage.

Wei Fangمشاهده پروفایل

استادیار

• Ecology
• Environmental Science
• Climate Change Impacts
• +۷ مورد دیگر

Wei Fang is an Assistant Professor in the Department of Biology at Pace University, affiliated with the Dyson College of Arts and Sciences in New York City. She holds a PhD in Ecology and Evolution from the State University of New York at Stony Brook (2003), an MS in Botany from Sun Yat-sen University, China (1993), and a BS in Environmental Biology and Ecology from Peking University, China (1990). PhD, Ecology and Evolution, State University of New York at Stony Brook, 2003 MS, Botany, Sun Yat-sen University, 1993 BS, Environmental Biology and Ecology, Peking University, 1990 Her research centers on organismal and ecosystem resilience in response to anthropogenic stressors such as climate change, urbanization, and biological invasions. She employs field experiments, remote sensing, and statistical modeling to investigate forest and grassland responses to environmental change. Her work spans terrestrial ecosystems in North America, China, and Central Asia, with a strong emphasis on integrating satellite data with ground-based observations. The 15 most recent publications reflect a consistent focus on ecosystem responses to climate extremes—particularly drought and warming—using satellite remote sensing (e.g., MODIS, Sentinel-3), tree-ring data, and machine learning. Key themes include canopy-height-dependent drought resistance, grazing impacts on steppe ecosystems, and invasive species effects. Her research bridges ecology, environmental science, and data science, contributing to global understanding of climate-vegetation feedbacks. She has been recognized with several awards, including: Dyson Society of Fellow, 2024 (Fellow) Pace University, 2024 and 2023 (Yes I Make it Happen Recognition) Dr. Fang has secured federal grants from the US Embassy in Kazakhstan and Uzbekistan (administered by American Councils) to modernize ecology and sustainability curricula in Central Asian universities, aligning with UN Sustainable Development Goals. She mentors students through independent study and research courses (BIO 395, BIO 480) and serves on faculty search and academic committees. Her professional service includes reviewing for journals such as Environmental Research Letters , Forest Ecology and Management , and Scientific Reports , as well as grant proposals for the National Science Foundation. She has organized international workshops and serves on advisory boards, demonstrating strong leadership in academic and scientific communities. She is actively involved in research teams focusing on ecological forecasting and international education development, contributing to large collaborative projects across multiple institutions. Her lab integrates field ecology with remote sensing and modeling, fostering interdisciplinary training for students.

• Functional Analysis
• Mathematical Analysis
• Geostatistics
• +۳ مورد دیگر

Rafael Crespo García is an Associate Professor in the Department of Mathematical Analysis at Universitat de València. His academic career spans several decades, beginning with his doctorate in 1981. He is actively involved in research at the intersection of functional analysis and spatial statistics. His research primarily focuses on Functional Analysis and Geostatistics , with a particular interest in spatial modeling techniques that account for nonstationarity. His work bridges pure mathematics and applied geospatial sciences, especially through the use of geographically weighted regression (GWR) and hybrid kriging models. The analysis of his publications, particularly the 2010 paper in Mathematical Geosciences , reveals a strong trend in evaluating spatial prediction models under conditions of spatial heterogeneity and nonstationarity. His work contributes to the methodological critique and advancement of GWR and its integration with geostatistical interpolation techniques. No scientific awards are listed in the available sources. Rafael Crespo García has collaborated with prominent researchers in spatial analysis, including Martin Charlton, A. Stewart Fotheringham, and Paul J. Harris. While no information is available about his advisees or teaching load, his publication record indicates scholarly engagement in interdisciplinary research. There is no indication of lab leadership or team direction in the provided texts.

Vojislav Dukićمشاهده پروفایل

استاد

• Forest Ecology
• Dendrochronology
• Silviculture
• +۴ مورد دیگر

Prof. Vojislav Dukić is a regular professor at the Faculty of Forestry, University of Banja Luka. His work focuses on forest ecology, dendrochronology, and sustainable forest management with a specialization in old-growth forests and climate impacts. He leads research on forest dynamics, biodiversity conservation, and silvicultural practices in Bosnia and Herzegovina's ecosystems. Affiliated with the Department of Forest Management and Planning. Active in projects like the ‘WISDOM methodology’ and ‘Master Plan for Afforestation’. Research interests include old-growth forest dynamics, climate-forest interactions, and wood material properties. He has published over 50 peer-reviewed articles, with recent work emphasizing Dinaric Alps ecosystems and carbon stock assessments. His studies combine fieldwork with remote sensing and statistical modeling to address forest management challenges. Notable contributions include analyses of Janj and Lom old-growth forests, climate-growth relationships in silver fir, and Serbian spruce wood properties. He collaborates with international teams on projects funded by EU and national grants, emphasizing regional forest sustainability.

• Geoinformatics
• Spatial Data Management
• Big Data Applications
• +۴ مورد دیگر

Docent Mladen Amović holds a position as Associate Professor at the Faculty of Architecture, Civil Engineering and Geodesy (University of Banja Luka), specializing in Geodesy and Geoinformatics. His academic career includes promotions to Senior Assistant (2023) and Associate Professor (2024). He leads and participates in multiple国家级and international projects focused on geospatial data management, smart city technologies, and infrastructure analysis. Notable projects include Documentation of Architectural Heritage Using Modern Geodetic Technologies (2024-2025) and GIS Flood Forecasting in Bijeljina (2015). Research interests emphasize big data applications in spatial sciences, remote sensing for agriculture/infrastructure, and geoinformatics policy compliance (e.g., INSPIRE Directive implementation). He has authored over 30 peer-reviewed articles in journals like Applied Sciences , ISPRS International Journal of Geo-Information , and Geodetski vestnik , with a focus on spatial-temporal data analysis, smart city frameworks, and geospatial infrastructure quality. Amović’s work includes developing geospatial portals for cadastral data visualization and harmonizing administrative boundaries in RS. He coordinates Erasmus+ initiatives like Academic Excellence in Geoinformatics (2019-2022), promoting industry-driven problem-based learning. Collaborations span institutions in Germany (Welt der Wunder Foundation), China (Automated Geosolutions), and European Union frameworks. Grants: Over €2M secured for projects like Monitoring Agricultural Crop Security (2019-2021) and Decarbonization of Bosnia’s Energy Sector (2022). Labs/Teams: Leads geospatial data management research within the Faculty’s Geodesy Department, collaborating with academic and private sector partners.

• Mining Seismicity
• Geomechanics
• Seismic Hazard
• +۳ مورد دیگر

Kyle Woodward is a Senior Research Fellow at the Australian Centre for Geomechanics within the School of Engineering, University of Western Australia. His research focuses on mining-induced seismicity, geomechanics, and hard rock engineering, with particular expertise in stope design optimization and seismic risk management. Research Interests: Woodward's work integrates geomechanical principles with advanced data analytics to address challenges in underground mining. Key areas include: Development of predictive models for stope performance using multivariate analysis and octree-based methods Quantification of overbreak and dilution effects in hard rock environments Seismic hazard assessment and rockburst risk mitigation strategies Economic optimization of mining operations through geotechnical insights His publications demonstrate consistent focus on improving mining efficiency through computational geomechanics, with recent work emphasizing high-resolution prediction techniques and reconciliation methodologies. Research outputs frequently involve industry collaborations with major mining companies. Research Projects: Woodward is actively involved in several industry-funded initiatives: Mining Induced Seismicity and Rockburst Risk Management projects with Gold Fields, OZ Minerals, Newmont, Agnico Eagle Mines, and Alamos Gold (2024-2028) Development of new methodologies for stope reconciliation and performance assessment He has supervised postgraduate research students at the University of Western Australia.

• Sea level rise
• Cryosphere
• Earth Observation
• +۳ مورد دیگر

Professor Jonathan Bamber is a leading glaciologist and Professor in the School of Geographical Sciences at the University of Bristol, specializing in sea level rise, cryospheric dynamics, and Earth Observation technologies. His research leverages big data analytics and satellite remote sensing to address critical questions about polar ice sheet stability and climate change impacts. With a B.Sc. from the University of Bristol and a Ph.D. from the University of Cambridge, he has established himself as a key figure in polar science through extensive fieldwork and computational modeling. Education: B.Sc. in Geographical Sciences, University of Bristol Ph.D. in Earth Sciences, University of Cambridge Research Focus: Bamber's work centers on quantifying ice sheet contributions to sea level rise using satellite altimetry, gravimetry, and novel machine learning approaches. He investigates Antarctic and Arctic ice dynamics, glacier retreat patterns, and freshwater flux impacts on ocean circulation. His research integrates physics-based modeling with data-driven techniques to improve predictions of cryospheric responses to global warming, with particular emphasis on the vulnerability of polar regions to temperature increases beyond 1.5°C. Publication Trends: Analysis of his recent publications reveals a strategic shift toward AI-enhanced cryospheric monitoring, including physics-aware machine learning frameworks for ice thickness estimation and glacier mapping. His work increasingly focuses on high-resolution datasets (e.g., Bedmap3 for Antarctica), spatio-temporal modeling of ice sheet changes, and quantifying uncertainties in climate projections. The research demonstrates strong interdisciplinary connections between glaciology, oceanography, and climate policy, with growing emphasis on actionable insights for climate adaptation. Awards and Recognition: While specific awards aren't detailed in source materials, his leadership in major projects like ESA's Sea Level Budget Closure (SLBC_cci+) initiative underscores significant professional recognition. Collaborative Frameworks: Bamber actively participates in international research consortia, including contributions to IPCC assessments and CMIP6 climate modeling efforts. His work on the MAGIC Mission Science team demonstrates engagement with space-based Earth observation systems. Current projects like the SLBC_cci+ (2023-2026) exemplify his role in bridging satellite data validation with fundamental sea level science questions.

Eugene Morganمشاهده پروفایل

عضو هیئت علمی

• Bayesian Inversion
• Seismic Data Analysis
• Reservoir Characterization
• +۵ مورد دیگر

Eugene Morgan is an Associate Teaching Professor and Associate Head for Undergraduate Education at the John and Willie Leone Family Department of Energy and Mineral Engineering at Penn State University. He also serves as Vice-Chair of Energy Engineering. Ph.D. in Civil & Environmental Engineering from Tufts University (2011) M.S. in Civil & Environmental Engineering from Tufts University (2008) B.S. in Earth Sciences from U.C. Santa Cruz (2005) Morgan's research focuses on: Bayesian inversion strategies for seismic survey data analysis Integration of seismic attenuation and rock physics modeling Machine learning applications in oil and gas production forecasting Geostatistical methods for subsurface energy reservoir characterization Development of probabilistic frameworks for hydraulic property estimation His recent work explores seismic data assimilation for carbon storage monitoring, time-series analysis of well production data, and spatial modeling for unconventional resource estimation. Publications highlight his contributions to: Attenuation-based inversion techniques Big data analytics in formation evaluation Multiscale geophysical risk mapping Offshore wind energy statistical modeling Key professional activities include: Participating member of National Risk Assessment Partnership (2017-2022) Guest Editor for Mathematical Geosciences (IAMG 2019 Special Issue) Scholarship Chair for SPE Pittsburgh Section (2014-2019) Faculty advisor for Penn State SPE Student Chapter (2014-2018)

Anindya Bhadraمشاهده پروفایل

استاد

• Bayesian methods for high-dimensional and complex data
• Computational statistics
• Applications of statistics in life sciences
• +۹ مورد دیگر

Anindya Bhadra is a Professor in the Department of Statistics at Purdue University and a University Faculty Scholar. His research focuses on Bayesian methods for high-dimensional and complex data, computational statistics, and applications in life sciences including genomics, infectious disease epidemiology, and nutrition. Research Interests: Bayesian inference for graphical models and high-dimensional data Gaussian processes with novel covariance functions (e.g., Confluent Hypergeometric) Deep learning and statistical learning intersections Measurement error models and zero-inflated data analysis Spatiotemporal modeling for geostatistics Scientific Contributions: Developed horseshoe+ estimator for ultra-sparse signal recovery Designed confluent hypergeometric covariance functions for spatial modeling Advanced posterior inference in infinite-width neural networks with heavy-tailed weights Created evidence estimation techniques for Gaussian graphical models Scientific Awards: University Faculty Scholar, Purdue University IISA 2022 Best Poster Award (for student K. Sagar) ENAR Distinguished Student Paper Award 2022 (for student K. Sagar) Editorial Roles: Associate Editor, Journal of the American Statistical Association (2020–2023) Associate Editor, Journal of Computational and Graphical Statistics (2021–present) Associate Editor, Statistical Analysis and Data Mining (2021–present) Associate Editor, Sankhya A (2018–present) Email: bhadra@purdue.edu

Sabine Attingerمشاهده پروفایل

استاد

• Multi-scale terrestrial systems
• Hydrology
• Stochastic modeling
• +۴ مورد دیگر

Sabine Attinger is a Professor (W3) at the University of Potsdam and Head of the Department of Computational Hydrosystems at the Helmholtz Centre for Environmental Research (UFZ) . Her research focuses on multi-scale terrestrial systems , stochastic hydrological modeling , and geostatistical characterization of subsurface processes. She leads projects like 4DHydro (EO-data integration) and natESM (national Earth system modeling). Key research themes include groundwater dynamics , compound environmental risks , and smart monitoring systems . Her scientific awards feature the 2023 ASCE-EWRI Best Case Study Award 2017 UFZ Research Award She collaborates with institutions like ETH Zurich , Stanford University , and CASUS . Her work bridges hydrological modeling , contaminant transport , and climate adaptation strategies through projects like DestinE (EU digital twin) MOSES (mobile observation systems) TERENO (environmental observatories)

Lennart Schülerمشاهده پروفایل

پژوهشگر

• Earth System Modelling
• Hydroclimatology
• Geo-Statistical Methods
• +۲ مورد دیگر

Lennart Schüler is a postdoctoral researcher in the Department of Computational Hydrosystems at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig, Germany. His work focuses on advanced hydrological modeling, data assimilation techniques, and climate change impact assessments through projects like MOMENT (Improving water and carbon cycle representation in ecosystems) ULYSSES (Global multi-model hydrological forecasting system) 4DHydro (Earth Observation-hydrology integration) Research interests include: Earth System Modelling with compartment coupling Hydroclimatology and extreme event analysis Geo-statistical optimization algorithms Environmental informatics applications His 2016 PhD from University of Jena investigated Filtered Density Functions for Uncertainty Assessments of Groundwater Transport , supervised by Sabine Attinger and Nicolae Suciu. Articles span from 2011-2024 with recent work on pandemic modeling (2024) and virtual forest analysis (2023). Major collaborations include institutions like University of Illinois, BOKU Vienna, and Copernicus Climate Change Service.