جست‌وجوی استاد و پژوهشگر

• Remote Sensing
• Geographic Information Systems
• Earth Surface Dynamics
• +۳ مورد دیگر

Kanchan Mishra is a postdoctoral researcher in the Terrestrial Sedimentology Group at the University of Tübingen, working within the Faculty of Mathematics and Natural Sciences, Department of Geosciences. She is based at the Geo- and Environmental Research Center (GUZ) in Tübingen, Germany, with her office located in Room 2U37 at Schnarrenbergstr. 94-96. Dr. Mishra specializes in employing remote sensing and geographic information systems (GIS) to study Earth surface dynamics at spatiotemporal scales. Her research initially focused on understanding fluvial systems and processes aided by space technology, and has expanded to include aeolian settings. Currently, her work centers on the application of remote sensing and GIS to study the morphological variability of Aeolian landscapes and the relationship between morphological features and climate systems on different spatial and temporal scales. Her publication record reveals a strong focus on Himalayan river systems, particularly the Kosi and Ganga Rivers, with research spanning sediment dynamics, flood risk assessment, sustainable silt management, and hydro-geomorphological approaches to river management. She has published in leading journals including Journal of Quaternary Science, Frontiers in Environmental Science, Sustainability, and Geomorphology, demonstrating both the breadth and depth of her research contributions. Dr. Mishra has secured significant research funding through the Program for the Promotion of Junior Researchers (2023-2025), a 32,220 € grant from the Federal Ministry of Education and Research (BMBF) and Baden-Württemberg Ministry of Science as part of the Excellence Strategy of the German Federal and State Governments. Her collaborative research network spans internationally, with publications involving researchers from India, Australia, and Germany, reflecting the global relevance of her work in understanding Earth surface processes and environmental change across diverse geographical contexts.

Elena Bachiniمشاهده پروفایل

استادیار

• Computational Fluid Dynamics
• Surface Partial Differential Equations
• Finite Element Methods
• +۷ مورد دیگر

Dr. Elena Bachini is a Fixed-term Junior Assistant Professor at the University of Padua's Department of Mathematics. She holds a Ph.D. in Computational Mathematics from Padua (2020), complemented by international research at TU Dresden, University of Texas at Austin, and KAUST. Her work focuses on developing geometric-intrinsic numerical methods for environmental and physical systems. Research interests span: Computational fluid dynamics with emphasis on surface PDEs Discontinuous Galerkin and finite volume methods for hyperbolic systems Virtual element techniques for tensor-valued equations Model coupling strategies for surface-subsurface hydrology Two-phase flows in porous media with anisotropic effects Her publications demonstrate consistent focus on: surface-adapted discretization techniques, shallow water modeling, and multiphase flow simulations. Recent works (2023-2024) advance tensor diffusion theory and fluid-structure interaction models. Article keywords frequently include surface PDEs, Lagrangian-Eulerian schemes, and computational geosciences. Supervision activities include: Primary advisor for 4 Master's candidates in Mathematical/Civil Engineering Co-supervision of postdoctoral researcher F. Muraro in climate resilience modeling She participates in major EU projects including RETURN (climate risk, €multi-million), MONUGEO (geohazards), and REACT (digital twins), leveraging collaborations across 6+ countries.

Bree Mathonمشاهده پروفایل

مدرس ارشد

• Hydrology
• Geochemistry
• Technical Communication
• +۳ مورد دیگر

Bree Mathon is a **Senior Lecturer** in the Department of Civil and Environmental Engineering at the **University of Vermont (UVM)**, within the College of Engineering and Mathematical Sciences. She holds a Ph.D. from UVM, an M.S. from SUNY Stony Brook, and a B.S. in Mathematics from Hofstra University. Her expertise spans **hydrology**, **geochemistry**, and **technical communication**, with a focus on integrating computational tools (e.g., neural networks) into environmental and geoscience research. Her research emphasizes linking geomorphic and habitat assessments in aquatic systems, using advanced methods like generalized regression neural networks and Dempster-Shafer theory. She has contributed to studies on hot spring geochemistry, groundwater modeling, and bacterial transport dynamics. Notably, her work on stream habitat classification and pathogen migration has advanced interdisciplinary approaches to environmental problem-solving. Awarded the **Excellence in Teaching Award for part-time faculty** (2015), she balances academic rigor with pedagogical innovation. Her professional affiliations include Phi Beta Kappa, Kappa Mu Epsilon (Mathematics Honor Society), and Golden Key National Honor Society. She actively reviews for journals like the *Journal of the American Water Resources Association* and *Canadian Journal of Forest Research*. Her research has addressed critical issues such as thermal disequilibrium in volcanic springs, uncertainty quantification in hydraulic conductivity, and the application of complex systems tools to river systems. She has presented at conferences ranging from the American Geophysical Union to the Vermont Geological Society, highlighting her commitment to advancing both field and computational methodologies.

Vladik Kreinovichمشاهده پروفایل

استاد

• Uncertainty Management
• Interval Computations
• Fuzzy Logic
• +۷ مورد دیگر

Professor Vladik Kreinovich is a renowned academic in the Department of Computer Science at the University of Texas at El Paso (UTEP), part of the College of Science. His primary research focuses on uncertainty management, interval computations, fuzzy logic, and decision-making under uncertainty. He holds a Doctor Honoris Causa from Ostrava University and is a Fellow of the International Fuzzy Systems Association (IFSA) and the Mexican Society for Artificial Intelligence (SMIA). His academic journey includes a B.S. and M.S. from St. Petersburg University and a Ph.D. from the Institute of Mathematics in Novosibirsk, Russia. Dr. Kreinovich has authored over 1,500 publications, with notable contributions to interval analysis, computational intelligence, and interdisciplinary applications in geoscience and environmental science. Awards include the K. S. Fu Award, Meritorious Service Award from IEEE, and the El Paso Energy Foundation Faculty Achievement Award. He serves on editorial boards for journals like Reliable Computing and International Journal of Approximate Reasoning . His teaching spans automata theory, formal languages, and advanced topics in computing paradigms. Grants include an AT&T Fellowship (2021–2028), and he actively contributes to conferences such as IFSA, EUSFLAT, and NAFIPS. His work bridges theoretical foundations with practical applications, emphasizing robust algorithms for uncertain data and interdisciplinary collaboration.

Tristan van Leeuwenمشاهده پروفایل

استاد

• Inverse Problems
• Computational Imaging
• Tomography
• +۲ مورد دیگر

Tristan van Leeuwen is Professor of Computational Inverse Problems at Utrecht University's Mathematical Institute within the Faculty of Science. He is also the leader of the Computational Imaging Group at Centrum Wiskunde & Informatica (CWI) in Amsterdam. Van Leeuwen's research focuses on unraveling the underlying mathematics of imaging techniques to improve their application in healthcare and geosciences. His work develops computational methods, including algorithms, to solve inverse problems involving determining unknown causes or properties of systems based on observable effects. His publications demonstrate applications in various domains including X-ray CT reconstruction, defect detection in industrial settings, and educational data analysis. Recent work has increasingly incorporated machine learning approaches to optimize imaging processes. Van Leeuwen leads the Computational Imaging group at CWI and is involved in multiple externally funded projects including Flexible X-ray Laminography for Art and IMAGINE. He teaches courses on Inverse Problems in Imaging and Scientific Computing.

• Artificial Intelligence
• Explainable AI
• Human-Computer Interaction
• +۵ مورد دیگر

Yunfeng Zhang is a Professor at Shandong University of Finance and Economics specializing in Artificial Intelligence with significant contributions to Explainable AI, Human-Computer Interaction, and Machine Learning. His research spans computer vision, fairness in AI, and robotics applications across diverse domains including transportation, agriculture, and cybersecurity. Zhang has established strong international collaborations with IBM Research (notably with Kush Varshney and Q. Vera Liao) and publishes extensively in top venues like CHI, KDD, and IEEE Transactions. His research interests focus on making AI systems transparent and trustworthy through the AI Explainability 360 toolkit development since 2020, human-AI collaboration frameworks, and fairness optimization in machine learning. Recent work shows a strategic pivot toward applied AI problems including urban rail transit optimization, agricultural robotics for citrus detection, and VR-enhanced education systems in China. Zhang's publications demonstrate exceptional breadth across both theoretical foundations and real-world implementations of AI technologies. Zhang's recent publications (2023-2025) reveal strong trends in multimodal AI applications, with significant work in computer vision for remote sensing and industrial automation, reinforcement learning for transportation systems, and educational technology innovations. His work consistently bridges technical AI development with human-centered design principles, particularly evident in his CHI publications on human-AI collaboration interfaces. Co-developer of the influential AI Explainability 360 open-source toolkit (JMLR 2020) Key contributor to Uncertainty Quantification 360 framework Active participant in ACM FAccT conferences on AI fairness Principal investigator on multiple Chinese national research grants for AI applications Zhang leads research teams developing practical AI solutions for Chinese industry challenges, particularly in transportation optimization and agricultural technology. His lab maintains strong industry partnerships with Chinese railway authorities and agricultural technology firms, focusing on implementing AI systems that address specific local infrastructure and productivity challenges while maintaining rigorous academic standards.

• Machine Learning
• Signal Processing
• Remote Sensing
• +۴ مورد دیگر

Wei Xue is an active academic researcher affiliated with Tsinghua University's Department of Computer Science and Technology. Their work spans multiple disciplines, including Machine Learning , Signal Processing , Medical Imaging , and Natural Language Processing . Key research areas include adversarial robustness in DNNs for remote sensing, hierarchical speaker representation learning for speech extraction, and multi-view fuzzy classification for brain network analysis. Recent publications focus on imbalanced data classification, spectrum sensing in cognitive radio, and innovative applications in soft robotics and medical diagnostics. Collaborations include institutions like Tsinghua University, Jiangnan University, and Hong Kong Baptist University, with frequent contributions to journals such as IEEE Transactions on Geoscience and Remote Sensing and Neural Networks .

D. Sarah Stampsمشاهده پروفایل

دانشیار

• Geophysics
• Geodesy
• Active Tectonics
• +۷ مورد دیگر

D. Sarah Stamps is a tenured Associate Professor of Geophysics at the Virginia Tech Department of Geosciences within the College of Science. Her research integrates millimeter-precision GNSS/GPS measurements with high-performance computational modeling to study geophysical processes in active tectonic regions. Education: Ph.D., Geophysics/Geodesy, Purdue University (2013) B.Sc., Earth Sciences and Mathematics minor, The University of Memphis (2007) Her work focuses on continental rifting mechanisms , volcano-tectonic interactions , and mantle-lithosphere dynamics , with applications to seismic and volcanic hazards. Recent studies explore melt generation in magma-poor rifts, modern geodetic data processing frameworks, and coastal vertical land motion quantification. Scientific Awards NSF CAREER Award (2020-present) NSF Computational Infrastructure for Geodynamics Distinguished Lecturer (2017-2020) NSF EarthCube Community Service and Leadership Award (2017) NSF Postdoctoral Research Fellowship (2013) NSF Graduate Research Fellowship (2009) She leads the Geodesy and Tectonophysics Laboratory (www.geodesy.geos.vt.edu) and contributes to geoscience modernization initiatives, including cyberinfrastructure development and capacity-building in developing countries.

Mohammad Nooraiepourمشاهده پروفایل

پژوهشگر

• Fluid flow and reactive transport in porous media
• CO2-brine-rock interactions
• Mineral precipitation and crystal growth
• +۳ مورد دیگر

Mohammad Nooraiepour is a Researcher at the Department of Geosciences, University of Oslo. He holds a PhD in Mathematics and Natural Sciences from the University of Oslo (2015-2018), an M.Sc. in Petroleum Engineering and Geosciences from Gubkin Russian State University (2012-2014), and earlier degrees from Iranian institutions. His research focuses on fluid-rock interactions in porous media, CO2 storage, and petrophysical properties of geological materials. He leads projects such as 'Understanding coupled mineral dissolution and precipitation in reactive subsurface environments' (2023-2025, NOCC-funded) and 'Polish-Norwegian CCS Network' (2023-2024, EEA-funded). He is Chair of the Students Affairs Committee (SAC) at InterPore and co-chair of the InterPore Young Academy. His work integrates experimental, numerical, and field-based approaches to address challenges in carbon capture and hydrogen storage. Research interests include: CO2-brine-rock interactions, salt precipitation dynamics, mineral nucleation and growth, and geomechanical properties of caprocks. He has contributed to courses like GEO4/9250 (Reservoir Geology) and GEO4/9260 (Reservoir Geophysics). Current projects explore CCS in saline aquifers, hydrogen storage in reservoirs, and basalt-mineralization processes. His lab work involves microfluidic experiments and numerical simulations to study pore-scale phenomena. He collaborates with institutions worldwide, including the FME SUCCESS Centre and the Grieg Program. Future research aims to enhance subsurface energy storage solutions and climate mitigation technologies.

Silvia Hessمشاهده پروفایل

مدرس ارشد

• Micropaleontology
• Stratigraphy
• Benthic Foraminiferal Ecology
• +۳ مورد دیگر

Silvia Hess is a Senior Lecturer at the Department of Geosciences, University of Oslo, within the Faculty of Mathematics and Natural Sciences. She holds a position in the Section for Environmental Geosciences. Her research focuses on micropaleontology, stratigraphy, and benthic foraminiferal ecology, with particular emphasis on environmental geology and climate change impacts in marine realms. She has contributed to studies on Arctic Ocean basins, carbon sequestration in warming sediments, and the ecological effects of human activities like fish farming and drilling. Her work integrates field studies, sediment analysis, and paleoecological methods to understand marine ecosystems and past environmental changes. Recent research includes investigating the role of benthic foraminifera in carbon cycling, the introduction of invasive species in Norwegian fjords, and the development of ecological monitoring indices (e.g., Foram-AMBI). Publications span topics from Arctic physico-chemical gradients to the effects of organic pollution on marine sediments. Hess collaborates on projects like the Nansen Legacy, addressing future resource management in the Arctic. No awards or grants are explicitly listed, though her extensive publication record reflects active research contributions.

Amandine Kaiserمشاهده پروفایل

پژوهشگر ارشد

• atmospheric boundary layer
• atmospheric turbulence
• land-atmosphere interactions
• +۵ مورد دیگر

Amandine Kaiser is a Ph.D. Research Fellow in the Department of Geosciences at the University of Oslo, affiliated with the Section for Meteorology and Oceanography (MetOs). Her professional background includes: Since 2021: Ph.D. Research Fellow, Department of Geosciences, University of Oslo 2019-2021: Data Manager, German Climate Computing Center 2019: Research Assistant, Department of Mathematics and Computer Sciences, Freie Universität Berlin 2016-2019: Master of Science, Institute of Mathematics, Technische Universität Berlin Her research centers on atmospheric boundary layer processes, turbulence, and land-atmosphere interactions, integrating statistical modeling, dynamical systems, numerical analysis, and machine learning to investigate regime transitions. This interdisciplinary work bridges meteorology, mathematics, and computational science. Recent publications (2024-2025) emphasize nocturnal and polar boundary layer dynamics, using localized perturbation modeling and sensitivity analysis to address variability and transient phenomena. Her methodology highlights computational innovation in atmospheric science. No scientific awards are mentioned in available sources. No information on student advising or grant funding is provided. She participates in the CompSci research group at the University of Oslo.

• Computer Graphics
• Geosciences Visualization
• Virtual Reality Applications
• +۳ مورد دیگر

Assoc. Prof Daniel Patel holds a position in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences (HVL). His research focuses on interdisciplinary applications of computer graphics and visualization techniques in geosciences, VR training systems, and educational technology. Key areas include collaborative software for subsurface CO2 storage, seismic data interpretation, and vision-training serious games for children. His work bridges computer science with geology, energy systems, and marine biology, emphasizing real-time visualization algorithms and secure rendering methods. He has pioneered VR training systems for safety assessment and developed web-based 3D geology visualization tools using open standards like X3DOM. His research also extends to acoustic marine species identification and GPU-optimized rendering techniques. Notable contributions include advancements in homomorphic-encrypted volume rendering for secure visualization, multi-GPU processing with the Vulkan API, and sketch-based geological modeling tools. His projects often integrate modern hardware (e.g., VR headsets) with game engines to enhance training and educational outcomes.

Lara Homsey-Messerمشاهده پروفایل

دانشیار

• Geoarchaeology
• Environmental Archaeology
• Archaeological Soil Micromorphology
• +۴ مورد دیگر

Lara Homsey-Messer is Associate Professor of Anthropology and Graduate Coordinator of Applied Archaeology at Indiana University of Pennsylvania, where she is affiliated with the Department of Anthropology, Geospatial and Earth Sciences within the Kopchick College of Natural Sciences and Mathematics. She earned her MS in geology (2003) and PhD in archaeology (2004), both from the University of Pittsburgh, and previously taught for nine years in the Geosciences Department at Murray State University. Her educational background includes: PhD in Archaeology, University of Pittsburgh (2004) MS in Geology, University of Pittsburgh (2003) Dr. Homsey-Messer is a geoarchaeologist whose research focuses on how changes in the geologic environment (such as natural hazards and climate change) affected prehistoric populations. Her methodological expertise includes soil micromorphology, microartifact analysis, geochemical fingerprinting, GIS, and remote sensing applications. She has conducted significant research at sites including the Coles Creek Raffman Site, Mississippian Wickliffe Mounds Site, South Mountain Metarhyolite quarries in Pennsylvania, and Dust Cave in Alabama. Her work often examines household organization, mound building technologies, food processing techniques, and settlement patterns across different cultural periods. Analysis of her publication record reveals strong thematic continuity in her research, with particular emphasis on integrating geoarchaeological methods with traditional archaeological approaches. Her work frequently addresses questions of site formation processes, feature analysis, and human-environment interactions across multiple temporal scales from Paleoindian through Mississippian periods. A notable trend is her increasing focus on applied archaeology and public education, exemplified by her laboratory manual Experiencing Archaeology and her service learning initiatives. Her professional service includes: Associate editor of the Journal of Kentucky Archaeology Member of the editorial board of American Archaeology magazine Service on the Public Education Committee of the Society for American Archaeology Member of the Register of Professional Archaeologists Member of the Society for American Archaeology Member of the Geological Society of America Dr. Homsey-Messer teaches undergraduate courses in Contemporary Anthropology, Geoarchaeology, Environmental Archaeology, Soils, and Cultural Resource Management, as well as graduate seminars in Pre-Columbian Archaeology, Archaeological Interpretation, and Public Archaeology. Her teaching philosophy centers on service learning and public education, with a focus on making archaeological methods accessible to non-majors through experiential learning. She has developed innovative approaches to teaching archaeology, particularly through her laboratory manual that provides hands-on activities for large lecture classes. Her research has been supported through various grants, including work on the South Mountain Metarhyolite Quarries conducted for the South Mountain Partnership, which combined geochemical research with archaeological fieldwork to develop management best practices for the quarry complex in Michaux State Forest.

Jon Lewisمشاهده پروفایل

استاد

• Structural Geology
• Earthquake Geology
• Neotectonics
• +۵ مورد دیگر

Jon Lewis is a Professor in the Department of Anthropology, Geospatial and Earth Sciences at Indiana University of Pennsylvania (IUP), part of the Kopchick College of Natural Sciences and Mathematics. His academic journey includes a BS from the University of Vermont, MS from the University of Tennessee, PhD from the University of Connecticut, and a postdoctoral fellowship at the University of California, Davis. He has held roles such as Adjunct Assistant Professor at the University of Massachusetts Amherst and was a trailing partner during his postdoctoral years, emphasizing community-building and flexibility in dual-career academia. Research focuses on structural geology, earthquake geology, and neotectonics, with fieldwork in Taiwan, Costa Rica, and Japan. Notable projects include NSF-funded studies on Taiwan’s arc-continent collision and collaborations in the Nankai Trough Seismogenic Zone Experiment. He co-developed the STEMSEAS program to diversify marine geoscience participation and improve equity in STEM through seagoing experiences. Teaching spans courses like Dynamic Earth and Research Methods in Geosciences , incorporating innovative strategies such as visual engagement to boost student interaction. He prioritizes undergraduate research, mentoring students in numerical modeling and fieldwork, leading to co-authored publications. His career advice emphasizes community connections and balancing academic rigor with personal well-being through activities like mountain biking. Grants include NSF Award #1650157 for Taiwan neotectonics research. He advocates for inclusive academic cultures, reflected in initiatives like COSEA and efforts to address conference equity. His work bridges education and research, fostering diverse participation in geosciences through interdisciplinary programs and partnerships.

• Medical Imaging
• Signal Processing
• Telecommunications
• +۳ مورد دیگر

Cristina Stolojescu is a Senior Lecturer at the Politehnica University of Timisoara, Department of Communications. She has been with the university since 2007, progressing from preparator (2007-2009), assistant (2009-2016), to her current role as Şef de Luncări (Senior Lecturer) since 2016. Her research focuses on medical imaging (ultrasound, optical coherence tomography), signal processing, and telecommunications, particularly in SONAR image restoration, speckle reduction, and WiMAX traffic analysis. Education: She earned her PhD in cotutelle with Telecom Bretagne (now IMT Atlantique), France, under Prof. Alexandru Isar and Philippe Lenca, completing her thesis in 2012. She has held visiting scholar positions at IUT Rennes (2014), Hochschule Karlsruhe (2015), and IUT Brest (2014). Research Contributions: Her work includes co-authoring Selected Topics in Communications Engineering (2015) and over 15 peer-reviewed papers. Key topics include wavelet-based denoising for medical imaging, compressive sensing in SONAR systems, and data mining for network traffic forecasting. Administrative Roles: Member of the Department Council (2016-2020), thesis committee member, and grant project participant (AVEA, ATRACTING). She teaches courses like Communications Protocols (since 2018) and supervises diploma projects in inpainting and networking. Collaborations: Peer reviewer for journals such as Transactions on Geoscience and Remote Sensing and conferences like ISSCS and ISETC. She actively participates in international conferences, including TSP 2015 (Prague) and ISSCS 2011 (Iași).