جست‌وجوی استاد و پژوهشگر

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.

Sabine Schillingمشاهده پروفایل

مدرس

• Statistics
• Machine Learning
• Numerical Simulations
• +۳ مورد دیگر

Dr. Sabine Schilling is a Lecturer at the Lucerne School of Business, part of Lucerne University of Applied Sciences and Arts, affiliated with the Institute of Tourism and Mobility (ITM). She holds a PhD in Theoretical Particle Physics from the University of Zurich and studied physics at the University of Heidelberg. Her research focuses on interdisciplinary applications of statistics , machine learning , and numerical simulations , with particular emphasis on biomedical challenges like intracranial aneurysm analysis. Key areas include: Morphological quantification of vascular structures Hemodynamic modeling of blood flow Genome-wide association studies for neurological disorders Development of computational biology frameworks She maintains active software development contributions, including the R package visStatistics for automated statistical test visualization. Her teaching portfolio includes courses in descriptive statistics.

Benjamin Allenمشاهده پروفایل

دانشیار

• Evolutionary Dynamics
• Mathematical Modeling
• Population Genetics
• +۵ مورد دیگر

Benjamin Allen is an Associate Professor of Mathematics at Emmanuel College . His research bridges mathematics and the sciences, focusing on evolutionary processes in biological systems and mathematical modeling of cooperation. He teaches courses including Calculus and Discrete Methods. Ph.D., Boston University M.A., Bryn Mawr College B.A., Haverford College Allen's research investigates how spatial/social structures influence evolution and applies stochastic models to cancer genetics and microbial systems. His work on evolutionary dynamics integrates mathematical rigor with real-world biological challenges. Key research trends include evolutionary game theory, network dynamics, and mathematical approaches to biological cooperation. His publications span journals like Nature , PNAS , and Journal of Theoretical Biology . 2021 John Templeton Foundation grant ($240,000) for modeling collective purpose in living systems 2017 NSF grant ($285,161) with Christine Sample on evolution as a mathematical process Allen collaborates with interdisciplinary teams and has contributed to cancer evolution studies, microbial modeling, and theoretical evolutionary frameworks. His work aims to unify mathematical approaches across biological scales.

• Turbulence Modeling
• Stochastic Processes
• Ambit Field Theory
• +۳ مورد دیگر

Jürgen Schmiegel is an Associate Professor at the Department of Mechanical and Production Engineering at Aarhus University. His research bridges theoretical and applied domains, focusing on stochastic modeling in turbulence, ambit fields, and non-semimartingale techniques. Key contributions include turbulence analysis via Lévy-driven processes and space-time symmetry studies. Research Themes : Stochastic intermittency in turbulent flows Applications of ambit fields and Lévy processes Non-Gaussian and multifractal modeling Time change and universality in turbulence Collaborations : Collaborated with Ole E. Barndorff-Nielsen on ambit stochastics Worked with F. Pons on von Kármán experiments Activities : Organized/attended conferences on turbulence and stochastic finance Presented on spatial-temporal modeling in biology and geosciences

Shayn M. Peirce-Cottlerمشاهده پروفایل

استاد

• Biomedical Engineering
• Tissue Engineering and Regeneration
• Computational Systems Biology
• +۱۱ مورد دیگر

Shayn M. Peirce-Cottler is a Professor in the Department of Biomedical Engineering at the University of Virginia, with secondary appointments in the Department of Plastic and Maxillofacial Surgery and the Department of Ophthalmology. She has been a faculty member since 2004 and currently serves as the Chair of the Department of Biomedical Engineering. She earned her BS from Johns Hopkins University and her PhD from UVA, and completed postdoctoral training at UVA in adult stem cell-based tissue regeneration. Her research focuses on the microcirculation—tiny blood vessels critical to tissue survival—and how they grow and remodel in diseases like diabetes, cancer, and heart disease. She combines computational modeling with experimental techniques to develop regenerative therapies. Her lab specializes in agent-based modeling, vascular imaging, and biomaterial design for tissue engineering. The recent publications highlight a strong trend in multiscale modeling of vascular dynamics, wound healing, and fibrosis. Her work integrates VEGF-A mRNA therapy, oxygen-sensing biomaterials, and pericyte biology, with applications in diabetic wounds, retinal disease, and muscular dystrophy. She frequently collaborates across disciplines, particularly in regenerative medicine and systems biology. AIMBE Fellow (2016) BMES Fellow (2020) Eugene M. Landis Award UVA Kadner Award for Graduate Teaching Harrison Distinguished Teaching Professor MIT Technology Review TR100 Young Innovator Award National Biomedical Engineering Society Rita Schaffer Young Investigator Award Dr. Peirce-Cottler is deeply committed to education and mentorship. She directs the Biomedical Engineering Graduate Program and co-directs UVA’s Center for Advanced Biomanufacturing. She has mentored numerous students and postdocs, several of whom have received prestigious awards. Her lab fosters interdisciplinary collaboration and innovation in tissue regeneration. She also leads outreach programs to engage K-12 students in biomedical engineering.

• Applied Mathematics
• Numerical Analysis
• Mathematical Modeling
• +۵ مورد دیگر

Francisco Guerrero Cortina is a permanent academic faculty member at the University of Valencia, affiliated with the Faculty of Mathematics, Department of Mathematics, and the Applied Mathematics area. He is a member of the ANIMS research group, focusing on Numerical Analysis, Images, Multiresolution, and Simulation. His primary research interests include Applied Mathematics , Numerical Analysis , Mathematical Modeling , and Epidemiology , with applications in fluid mechanics, public health, and social behavior dynamics. His work often involves high-order numerical schemes, nonstandard finite differences, and analytical approximation methods such as HAM and Padé. The recent publications indicate a strong trend in developing and applying advanced numerical methods to real-world problems, particularly in fluid dynamics and epidemiological modeling . His research bridges theoretical mathematics with practical applications in engineering and social sciences. He has collaborated extensively with researchers such as Pep Mulet, Rosa Donat, and F.J. Santonja, particularly on models for substance use in Spain. No scientific awards or student advisement details are publicly listed. He holds a PhD from the University of Valencia (1999), supervised by Dr. Antonio Pich, and continues to publish actively, with recent work appearing in 2025. His email is francisco.guerrero-cortina@uv.es, confirming current institutional engagement.

Lorna Linchمشاهده پروفایل

عضو هیئت علمی

• Glacial and Periglacial Processes
• Palaeoglaciology
• Glacial Sedimentology and Micromorphology
• +۳ مورد دیگر

Lorna Linch is a Principal Lecturer in Physical Geography at the University of Brighton's School of Applied Sciences, serving as Course Leader for the BSc (Hons) Geography program. She leads the Past Human and Environment Dynamics (PHED) Research Excellence Group (2017–present) and is an executive board member of the Centre for Environment and Society (2025–present). Her research focuses on glacial and periglacial processes, palaeoglaciology, and Arctic blue carbon, with fieldwork conducted across 30+ countries including Antarctica, Greenland, and Arctic Russia. Education includes a PhD in Physical Geography from Queen Mary University of London (2010) and a BSc (Hons) from the University of Reading (2004). She holds a Post Graduate Certificate in Higher Education (2012) and is a Fellow of the Higher Education Academy (HEA). Her teaching spans undergraduate to postgraduate levels, emphasizing blended learning and innovative field techniques like virtual reality. Research projects total ~£400K in funding, including investigations into iceberg-keel scouring mechanisms, Fennoscandian Ice Sheet dynamics, and periglacial landform micromorphology. She collaborates with institutions globally, including the British Antarctic Survey, Arctic University of Norway, and Scott Polar Research Institute. Key outputs include pioneering conceptual models of iceberg scouring and high-impact publications in Quaternary Science Reviews and Open Quaternary . Supervisory experience includes two fully funded PhD projects and current co-supervision of studies on microplastic migration in glacial forelands and critical mineral tracking via ice sheet dynamics. She chairs international conferences, reviews for leading journals, and serves as Awards Officer for the Quaternary Research Association.

• Electrochemical Energy Storage
• Lithium-ion Batteries
• Sodium-ion Batteries
• +۹ مورد دیگر

Dr. Y. Shirley Meng is the Zable Chair Professor in Energy Technologies and a Professor in the Department of NanoEngineering at the University of California San Diego (UCSD), within the Jacobs School of Engineering. She is the Principal Investigator of the Laboratory for Energy Storage and Conversion (LESC) and the founding Director of the Sustainable Power and Energy Center (SPEC). Research Interests: Lithium-ion, Sodium-ion, and Solid-State Batteries Flow Batteries and Zinc-Air Fuel Cells Magnesium-ion Batteries and Magnetic Materials Sensitized Solar Cells and Nanomaterials for Energy Integration of experimental techniques with first-principles computation for materials design Her recent research, reflected in publications from 2023 to 2015, consistently focuses on next-generation battery technologies, particularly addressing interfacial challenges, electrolyte design, cathode engineering, and degradation mechanisms in solid-state and lithium-metal batteries. Key themes include cobalt-free cathodes, liquefied gas electrolytes, cryogenic electron microscopy, and scalable manufacturing of sulfide-based solid electrolytes. Scientific Awards and Recognition: International Battery Association Research Award (2019) Blavatnik National Awards Finalist (2018) ACS Applied Materials & Interfaces Young Investigator Award (2018) ICESI Inaugural Young Career Award (2018) IUMRS-Singapore Young Scientist Award (2017) C.W. Tobias Young Investigator Award (2016) BASF Volkswagen Electrochemistry Science Award (2015) NSF CAREER Award (2011) U.S. C3E Initiative Innovation Award Elected Fellow of the Electrochemical Society Dr. Meng actively mentors a research group including postdoctoral researchers, graduate students, and visiting scholars. Her team has secured significant research support, leading to over 190 peer-reviewed articles and multiple patents. She also contributes to the field as Editor-in-Chief of MRS Energy & Sustainability . Laboratories and Research Centers: LESC (Laboratory for Energy Storage and Conversion): Focuses on designing nano-materials for energy storage and conversion via integrated experimental-computational approaches. SPEC (Sustainable Power and Energy Center): An interdisciplinary center she founded, aiming for breakthroughs in distributed energy generation, storage, and integration systems.

Gilles Vilmartمشاهده پروفایل

مدرس ارشد

• Numerical Analysis
• Geometric Numerical Integration
• Multiscale Methods
• +۳ مورد دیگر

Gilles Vilmart is a Senior Lecturer (Maître d'enseignement et de recherche) at the University of Geneva's Department of Mathematics since 2013. His research focuses on numerical analysis of geometric and multiscale methods for deterministic and stochastic differential equations, emphasizing geometric numerical integration and numerical homogenization. He holds a PhD (2008, double doctorate from University of Rennes 1 and Geneva) and a Habilitation (2013, ENS Rennes). Former affiliations include the Swiss Federal Institute of Technology Lausanne (EPFL), University of Rennes 1, and INRIA Rennes. He organizes the numerical analysis seminar with Martin Gander and Bart Vandereycken, and co-founded the CAMAS Consulting platform. He is a member of Swiss mathematical society, Swiccomas, and SMAI (France). Key achievements include the Young Researcher First Prize 2013 from Brittany Region for Mathematics. His work includes developing numerical methods for stochastic and multiscale systems, with software contributions like PIROCK and multirevolution integrators. He advises PhD students and organizes workshops on numerical analysis and complex systems.

• Biomechanics
• Computational Modeling
• Cellular Mechanotransduction
• +۳ مورد دیگر

Pablo Saez is an Associate Professor of Applied Mathematics at Universitat Politècnica de Catalunya (UPC) and a faculty member at the Institute of Mathematics of UPC-BarcelonaTech (IMTech). His research focuses on integrating physical modeling and computational methods to study the mechanical, chemical, and electrical behavior of biological systems at cellular, tissue, and organ levels. He explores how mechanical signals influence cell behavior and tissue dynamics, particularly in contexts like wound healing, vascular mechanics, and brain tissue properties. Key research themes include cell migration mechanisms (e.g., durotaxis, electrotaxis), mechanotransduction via extracellular matrices, and computational modeling of biological tissues' microstructural adaptations. His work bridges multiscale phenomena from molecular interactions to organ-level mechanics. Recent publications emphasize competing signaling pathways in cell migration, brain tissue mechanics, and adhesion complex dynamics. While no scientific awards are explicitly mentioned, his prolific output demonstrates sustained contributions to biomechanics and computational biology. He leads a lab that develops novel models for understanding mechanobiological processes and their applications in health and disease.

Iryna Rybakمشاهده پروفایل

مدرس ارشد

• Multiscale Methods
• Mathematical Modelling
• Numerical Algorithms
• +۳ مورد دیگر

Iryna Rybak is a Senior Lecturer and Principal Investigator at the University of Stuttgart's Institute of Applied Analysis and Numerical Simulation. Her research focuses on mathematical modeling, numerical methods, and multiscale analysis for coupled free-flow and porous medium systems. She coordinates the German side of the ANR-DFG project FLUPOR and leads Project A03 in the Collaborative Research Centre (SFB) 1313 on interface-driven multi-field processes in porous media. Academic Roles: Research Assistant, Principal Investigator Institution: University of Stuttgart Key Projects: FLUPOR (ANR-DFG), SFB 1313 (DFG) Research Interests: Multiscale methods, averaging theories, Stokes-Darcy coupling, numerical algorithms for multiphysics problems, and model validation using neural networks. Her work addresses interface conditions, porous media flow, and sediment transport in three-phase systems. Publications emphasize fluid-porous interface modeling, preconditioning techniques, and sensitivity analysis. She has advised over 15 PhD/Master students on topics like preconditioners for coupled systems and surrogate-assisted validation frameworks. Teaching includes advanced numerical methods, mathematical programming, and partial differential equations at both undergraduate and graduate levels. Grant Roles: Principal Investigator in FLUPOR and SFB 1313; coordinator of DFG-funded projects on interface modeling (2012–2025).

• Machine Learning
• Nanotechnology Sensors
• Bayesian Inversion
• +۳ مورد دیگر

Amirreza Khodadadian is a researcher affiliated with TU Wien's E194-06 Machine Learning Research Group. His work focuses on computational methods for nanosensors, numerical solutions to stochastic partial differential equations, and Bayesian inversion techniques. He collaborates extensively with Prof. Clemens Heitzinger and other researchers in fields like nanotechnology and applied mathematics. Key research areas include meshless numerical methods (e.g., interpolating element free Galerkin), optimal multi-level Monte Carlo algorithms, and sensor modeling using machine learning and Bayesian approaches. His publications address challenges in nanoelectronics, groundwater contamination modeling, and phase-field fracture simulations. Khodadadian's contributions span theoretical developments and practical applications, including work on carbon nanotube field-effect transistors and hyper-parameter optimization for autoencoder-based systems. He actively participates in projects funded by the Austrian Science Fund (FWF) and collaborates across disciplines to advance computational sensor technology.

Pejman Tahmasebiمشاهده پروفایل

دانشیار

• Geomechanics
• Subsurface Systems
• Machine Learning
• +۱۲ مورد دیگر

Dr. Pejman Tahmasebi is an Associate Professor in the Department of Geophysics at the Colorado School of Mines, where he leads research in geomechanics, subsurface systems, and machine learning applications. He is affiliated with the G4 Lab (tahmasebi.mines.edu), focusing on advanced computational modeling and data-driven methods for earth sciences. His research interests span geomechanics (from granular particles to large-scale systems and THMC processes), subsurface systems (energy, water, storage) using computational modeling and multiple-point statistics, machine learning with physics-guided AI frameworks, and fluid flow in porous media . His work integrates statistical, multiscale, and data analytics techniques to solve complex geoscientific challenges. Dr. Tahmasebi has received several prestigious awards, including international recognitions from IAMG and EAGE as a rising star, regional SPE awards in Reservoir Description and Data Analytics, and the Elsevier Best Paper Award. He serves on the editorial boards of Water Resources Research , Computers & Geosciences , and Fluids , handling submissions in machine learning and subsurface modeling. He has conducted postdoctoral research at Stanford University and the University of Texas at Austin, and worked at Caltech in the Department of Mechanical and Civil Engineering. His educational background includes a Ph.D. from a joint program supervised by Prof. Muhammad Sahimi at the University of Southern California, focusing on data analytics for porous media modeling. Dr. Tahmasebi advises graduate students and leads the G4 Lab, which specializes in developing novel statistical and multiscale techniques for geoscientific applications. His lab actively contributes to advancing physics-informed AI and uncertainty quantification in subsurface systems.

• Topology Optimization
• Computational Mechanics
• Acoustics
• +۳ مورد دیگر

Eddie Wadbro is a Visiting Professor at the Department of Computing Science , Umeå University. His research spans computational mechanics, acoustics, and machine learning, focusing on topology optimization and its applications in industrial design, forestry, and electromagnetics. He actively collaborates across disciplines to solve complex engineering challenges. Key Research Areas: Topology optimization, acoustic wave control, machine learning for industrial systems, fluid dynamics Recent Trends: Alzheimer's disease classification via morphological analysis, deep reinforcement learning for autonomous machinery, multiscale material design Collaborations: Works with experts in forestry engineering, electromagnetics, and biomedical imaging.

Nadja Rayمشاهده پروفایل

استاد

• Multiscale Modeling
• Reactive Flow and Transport in Porous Media
• Soil Science
• +۳ مورد دیگر

Professor Nadja Ray leads the Chair of Geomatics and Geomathematics at the Catholic University of Eichstätt-Ingolstadt. She specializes in multiscale modeling of reactive flow and transport in porous media, with a focus on soil systems. Alumnus of Friedrich-Alexander University Erlangen-Nürnberg (FAU), where she earned her doctorate in 2013 and habilitation in 2020 Key research areas: soil microstructure analysis, mathematical modeling for environmental applications, and computational geosciences Her work addresses critical issues in energy sustainability, climate science, and environmental protection through mathematical frameworks that bridge pore-scale and macro-scale soil behavior. Recent publications emphasize 3D microstructure modeling, machine learning applications for soil physics, and DFG-funded projects on rhizosphere dynamics. Awards include the Dr.-Klaus-Körper Prize (GAMM), Faculty Women’s Award (FAU), and FAU Habilitation Prize. She actively collaborates with geoscientists and leads DFG projects on soil systems, while contributing to the newly established Mathematical Institute for Machine Learning and Data Science (MIDS).