جست‌وجوی استاد و پژوهشگر

Nikos Savvaمشاهده پروفایل

استادیار

• Applied mathematics
• Multiscale flows
• Wetting hydrodynamics
• +۱ مورد دیگر

Dr. Nikos Savva is an Assistant Professor in Modelling and Simulation for Engineering Applications at The Cyprus Institute. His research bridges applied mathematics and engineering, particularly focusing on complex fluid dynamics and interfacial phenomena. Education: Holds a PhD in Applied Mathematics from MIT and a BSc in Applied Mathematics Engineering and Physics from the University of Wisconsin-Madison. Research Approach: Combines analytical methods with scientific computing to study wetting dynamics and multiscale flow systems. Previously held academic positions at Cardiff University and research appointments at Imperial College London.

Vicki Grassianمشاهده پروفایل

استاد

• Atmospheric Chemistry
• Marine Chemistry
• Climate Sciences
• +۳ مورد دیگر

Prof. Vicki Grassian is a Distinguished Professor at the University of California, San Diego (UC San Diego), holding joint appointments in the Departments of Chemistry & Biochemistry, Nanoengineering, and the Scripps Institution of Oceanography. She serves as Co-Director of the Center for Aerosol Impacts on Climate and the Environment (CAICE). Her research focuses on molecular-scale studies of environmental interfaces, including atmospheric aerosols, aqueous microdroplets, and nanomaterials, with applications to climate science, geochemistry, and human health. Grassian's work spans heterogeneous chemistry of trace gases with mineral dust and sea spray, iron mobilization, aerosol optical properties, and nanotechnology's environmental implications. She employs advanced techniques like aerosol science, microscopy, and spectroscopy. Notable achievements include the 2025 Marsha I. Lester Award and the 2023 Geochemistry Division Medal. She advises a dynamic group of graduate students and postdocs, many of whom have received prestigious awards and fellowships. Her research highlights include studies on HONO formation from indoor surfaces, wildfire smoke interactions, and the role of marine dissolved organic matter in climate processes. Grassian collaborates widely, contributing to projects like the SeaSCAPE initiative and the CASA indoor chemistry study. Her lab also explores the impacts of engineered nanoparticles on biological systems, bridging environmental and biomedical applications.

• Renewable Energy Systems
• Computational Fluid Dynamics (CFD)
• Wind Energy Technology
• +۴ مورد دیگر

Corsini Alessandro is a Full Professor at the Department of Engineering, Sapienza University of Rome, specializing in renewable energy systems, computational fluid dynamics, and turbomachinery. His research focuses on optimizing offshore wind energy systems, hydrogen storage, and sustainable energy communities. He leads projects on wind turbine aerodynamics, fluid-structure interaction, and machine learning applications in engineering. Key research areas include wake dynamics in offshore wind farms, adaptive turbine blade design, and the integration of renewable energy technologies into urban and island systems. His work addresses challenges in energy efficiency, environmental impact mitigation, and innovative solutions for sustainable power generation. Recent studies explore technology roadmaps for energy sectors, desalination in renewable energy communities, and predictive modeling of material erosion in turbines. He collaborates on experimental testing of wave energy converters and machine learning-driven analysis of energy systems. Corsini has contributed to advancements in computational fluid dynamics, including variational multiscale methods and surrogate modeling for noise prediction. His interdisciplinary approach bridges engineering, environmental science, and data-driven innovation.

Marta D'Eliaمشاهده پروفایل

استاد مدعو

• Scientific Machine Learning
• Nonlocal Modeling
• Fractional Calculus
• +۴ مورد دیگر

Marta D'Elia is an Adjunct Professor at Stanford's Institute for Computational and Mathematical Engineering (ICME), specializing in Scientific Machine Learning and nonlocal modeling. Her research develops data-driven algorithms for multiscale/multiphysics simulations, integrating numerical analysis, uncertainty quantification, and fractional calculus. Core applications include subsurface transport, turbulence modeling, image processing, and materials science. She leads innovations in nonlocal operator regression, physics-informed neural networks, and fractional Laplacian formulations. Current work focuses on embedded machine learning for constitutive modeling, Bayesian uncertainty frameworks, and computational homogenization. D'Elia pioneered approaches for nonlocal-to-local model coupling and fractional Helmholtz decompositions, advancing simulation capabilities for anomalous transport phenomena. Her Ph.D. in Applied Mathematics (Emory University) underpins rigorous mathematical foundations, while collaborations with national labs address high-performance computing implementations. Research contributes to open-source scientific software and computational mathematics education through ICME courses on numerical methods and machine learning.

• Climate Science
• Oceanography
• Environmental Physics
• +۳ مورد دیگر

Nathan Beech is a Researcher affiliated with the Professorship for Environmental Physics at ETH Zurich's Department of Environmental Systems Science. His work focuses on advancing ocean modeling techniques, particularly in the Southern Ocean, and understanding the impacts of climate change on mesoscale ocean dynamics. He contributes to high-resolution climate modeling projects using tools like FESOM 2.5, emphasizing computational efficiency and accuracy. Research Interests: Beech's studies center on the interplay between ocean eddies and climate systems, with emphasis on anthropogenic climate change's effects. His work addresses challenges in modeling mesoscale processes, optimizing computational resources for large-scale simulations, and validating climate models against historical data. Recent projects include analyzing long-term eddy activity trends and assessing regional climate impacts on viticulture in British Columbia. Labs/Teams: Collaborates within the Environmental Physics research group at ETH Zurich. Current projects involve interdisciplinary climate modeling initiatives and Southern Ocean dynamics studies.

• High-performance Computing
• Parallel Algorithms
• Scientific Computing
• +۳ مورد دیگر

Professor Tobias Weinzierl holds the position of Professor in the Department of Computer Science at Durham University. He is the Co-director of the Institute for Data Science (IDAS) and leads the Scientific Computing research group. His expertise includes high-performance computing, parallel algorithms, and scientific computing, with a focus on numerical methods and adaptive mesh refinement techniques. Research interests encompass high-performance computing architectures, parallel algorithm design, and the development of scalable numerical solvers for hyperbolic partial differential equations (PDEs). He has contributed to projects like ExaHyPE, an engine for exascale simulations of wave phenomena, and has authored influential books such as *Principles of Parallel Scientific Computing* and *A Framework for Parallel PDE Solvers on Multiscale Adaptive Cartesian Grids*. He has held roles including inaugural director of the Master in Scientific Computing and Data Analysis (MISCADA) and has reviewed for the European High Performance Computing Joint Undertaking (EuroHPC JU). His work emphasizes resilience in numerical software, compiler optimizations, and energy-efficient computing. Key contributions include the Peano software framework for adaptive grid traversals, and research on task-based parallelism, GPU offloading, and fault tolerance in HPC systems. Current research focuses on exascale computing, multiscale optimisation, and the application of parallel computing to astrophysics and fluid dynamics. Labs/Teams: Scientific Computing research group, ExaHyPE project team Grants/Projects: PI/Co-I on ExCALIBUR projects, H&ES installations

• Multiphase Flow in Porous Media
• Geological CO2 Storage
• Hydrogen Storage
• +۳ مورد دیگر

Sajjad Foroughi is a Senior Postdoctoral Researcher at the Department of Earth Science & Engineering , Faculty of Engineering , Imperial College London. He is affiliated with the Imperial-Shell Digital Rocks Program , where he focuses on pore-scale and continuum-scale modeling of multiphase flow in porous media. His research addresses critical challenges in energy transition technologies, including geological CO2 storage , hydrogen storage , electrochemical devices , and subsurface energy systems . Research Focus Dr. Foroughi's work bridges fundamental physics of porous media with applied energy systems. Key research areas include: Optimization of electrochemical devices (batteries, fuel cells) Hysteresis and trapping mechanisms in hydrogen storage Ostwald ripening effects on displacement processes Multiscale modeling of capillary pressure and relative permeability Applications in carbon capture and storage (CCS) and geothermal energy Technical Expertise His methodologies combine: Micro-CT imaging for pore-scale characterization Lattice Boltzmann simulations Network modeling of heterogeneous carbonates Deep learning for uncertainty quantification Image segmentation and contact angle measurement

• Partial Differential Equations
• Waves
• Dispersive PDEs
• +۷ مورد دیگر

Tomas Dohnal is a Professor at the Institute of Mathematics of Martin Luther University Halle-Wittenberg , Germany, since 2018. His research focuses on Nonlinear Partial Differential Equations (PDEs) , Dispersive Waves , Bifurcation Theory , and Wave Propagation in Periodic Structures . He has held academic positions at Technical University Dortmund, Karlsruhe Institute of Technology, ETH Zurich, and University of New Mexico. Research Interests : Nonlinear PDEs, Surface Plasmon Polaritons, Gap Solitons in Photonic Crystals, Spectral Problems, Rigorous Asymptotics, Numerical Analysis Grants : DFG grants on nonlinear wavepacket asymptotics and moving gap solitons in periodic media Students : Supervised PhD students including Maximilian Hanisch, Matthias Ionescu-Tira, and Daniel Tietz; Master students at multiple institutions Software : Co-developer of the PDE2PATH MATLAB package for bifurcation analysis Publications span topics in Maxwell equations with interfaces, PT-symmetric problems, homogenization of periodic media, and nonlinear wave dynamics. His work often bridges rigorous mathematical analysis with numerical methods. Teaching includes courses on Dispersive PDEs, Asymptotic Methods, Nonlinear Analysis, and Wave Propagation. He has taught at TU Dortmund, Karlsruhe Institute of Technology, and Martin Luther University.

• Computational Biofluid Dynamics
• Mathematical Biology
• Biomechanics
• +۳ مورد دیگر

Jared Barber serves as an Associate Professor in the Department of Mathematical Sciences within the School of Science at Indiana University Indianapolis, maintaining office LD 270E with contact details (317) 274-6936 and jarobarb@iu.edu. His academic foundation includes a Ph.D. and M.S. in Applied Mathematics from the University of Arizona complemented by a B.S. in Mathematics from Montana State University-Bozeman. Dr. Barber's research pioneers Computational Biofluid Dynamics and Mathematical Biology through advanced modeling of cellular mechanics (osteocytes, migrating cells), hemodynamics (red blood cell capillary flow, collateral vessel networks), and immunological responses in sepsis. His work bridges mathematical rigor with biological applications to develop clinical interventions for wound healing, cancer metastasis, and vascular diseases. Analysis of his 2019-2025 publications reveals consistent focus on multiscale modeling—from molecular cell signaling to organ-level blood flow—with increasing computational sophistication in simulating biological systems under physiological stresses. No scientific awards were documented in the source material. The records indicate no explicit details regarding student mentorship, research grants, or collaborative laboratory structures beyond his independent publications.

Tobias Preußerمشاهده پروفایل

استاد

• Mathematical Modelling
• Partial Differential Equations
• Bio-Medical Process Simulation
• +۷ مورد دیگر

Prof. Dr. Tobias Preußer is a Professor of Mathematical Modelling of Medical Processes at the School of Computer Science and Engineering, Constructor University Bremen gGmbH. His research focuses on mathematical modeling in biomedical processes, numerical analysis, image processing, and scientific visualization. He holds a PhD in Mathematics from the University of Duisburg-Essen (2001-2003), a Diploma in Mathematics from the University of Bonn (1994-1999), and completed an exchange semester in applied mathematics at New York University. His academic roles include Deputy Institute Director and Head of Modeling and Simulation at Fraunhofer MEVIS, General Manager at TechsoMed GmbH, and Visiting Assistant Professor at the University of Bremen. His work emphasizes interdisciplinary collaboration, particularly in systems biology and medical imaging applications. Key research interests include partial differential equations, bio-medical process simulation, anisotropic diffusion techniques, and multiscale methods. He has contributed to advancements in radiofrequency ablation modeling, liver pharmacokinetics simulations, and uncertainty quantification in medical visualization. His publications span computational biology, medical physics, and visualization techniques, with notable contributions to virtual liver modeling and stochastic collocation methods for optimal control problems. He has led collaborative projects involving academic and industrial partners, advancing both theoretical and applied aspects of mathematical modeling in healthcare.

• Computational Fluid Dynamics
• Smoothed Particle Hydrodynamics
• Aerospace Engineering
• +۳ مورد دیگر

Angelantonio Tafuni is an Assistant Professor at the School of Applied Engineering and Technology, New Jersey Institute of Technology (NJIT). His research focuses on computational fluid dynamics, smoothed particle hydrodynamics (SPH), and aerospace engineering applications. He leads projects simulating autonomous systems and human-agent interactions, funded by the National Science Foundation (NSF). His work spans multiscale modeling, cryogenic fluid management in space systems, and numerical simulation techniques. Recent research includes advancements in domain decomposition strategies for SPH, CFD modeling of cryogenic propellant tanks during parabolic flights, and development of flight-ready sensors for cryogenic systems. Collaborations involve international teams and industry partners in aerospace and computational engineering. Dr. Tafuni has secured a major NSF grant (2022–2025) titled 'Frameworks: Simulating Autonomous Agents and the Human-Autonomous Agent Interaction.' His publications emphasize innovative numerical methods and their application to real-world engineering challenges, with a strong focus on aerospace and fluid dynamics.

Pablo de Vera Gomisمشاهده پروفایل

استادیار

• Computational Physics
• Radiation Interaction with Condensed Matter
• Ion Beam Cancer Therapy
• +۳ مورد دیگر

Pablo de Vera Gomis is a tenured Assistant Professor and researcher in the Condensed Matter group at the Department of Physics, University of Murcia. He holds a PhD in Nanoscience (Physics) from the University of Alicante (2016) and has extensive postdoctoral experience at institutions including the MBN Research Center (Germany), European Centre for Theoretical Studies in Nuclear Physics (Italy), and Queen's University Belfast (UK). His research focuses on computational modeling of radiation-matter interactions, particularly in medical and biomaterial contexts. Education: BSc in Chemistry (University of Alicante, 2009) MSc in Nanoscience and Molecular Nanotechnology (University of Alicante, 2011) PhD in Nanoscience (Physics, University of Alicante, 2016) Research interests include radiation dosimetry, ion beam cancer therapy, and electronic excitation spectra in materials. He leads projects funded by Spain's Ministry of Science and the Seneca Foundation, investigating biodamage at the nanoscale and charged particle applications in medicine. Key contributions include studies on proton beam dosimetry in cortical bone and electronic cross-section calculations for metals. His work bridges fundamental physics with medical applications, emphasizing precise simulation techniques. Scientific awards include the Extraordinary PhD Award (2016) and fellowships from Marie Curie, Alexander von Humboldt, and Juan de la Cierva programs.

Trisha Sainمشاهده پروفایل

دانشیار

• Multiscale and Multiphysics Modeling
• Polymer and Composite Materials
• Fracture Mechanics
• +۶ مورد دیگر

Trisha Sain is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University. She earned her PhD in Civil Engineering (2008), MSc in Civil Engineering (2003), and BE in Civil Engineering (2001) from Indian institutions. Joined Michigan Tech in August 2016 Previous Assistant Professor at North Carolina A&T State University (2013-2016) Postdoctoral research at University of Michigan (2011-2013) and Technical University of Catalunya (2009-2011) Her research focuses on multiscale/multiphysics modeling of material behavior, including: Fracture, damage, and impact in polymers and composites Biomedical degradation of metallic implants Polymer curing process modeling Phase-field fracture analysis Uncertainty quantification in material models Current trends in her publications include: Developing phase-field models for complex crack propagation in composites Studying thermo-oxidative degradation of polymers Investigating 3D printed polymer architectures Analyzing chemically strengthened glass fracture Creating predictive models for polymer curing Understanding viscoplastic damage in semicrystalline polymers She is supported by grants from: Air Force Office of Scientific Research Army Research Office Her work combines computational modeling with experimental validation, focusing on predictive material behavior under various loading and environmental conditions.

Gabriel Potirnicheمشاهده پروفایل

استاد

• Solid mechanics
• Computational methods
• Fracture and fatigue
• +۳ مورد دیگر

Gabriel Potirniche is a Professor and Associate Dean at the University of Idaho's College of Engineering, with affiliation to the Department of Mechanical Engineering. He holds a Ph.D. in Mechanical Engineering from Mississippi State University (2003), dual M.S. degrees from Polytechnic University of Bucharest (Mechanics, 1998; Transportation, 1999), a B.B.A. from Academy of Economic Studies (1998), and a B.S. in Transportation from Polytechnic University of Bucharest (1995). His research focuses on computational solid mechanics, fracture/fatigue behavior of metals, thermoelectric material performance, and high-temperature material deformation modeling. Key areas include: Finite Element Method applications Creep-fatigue interaction mechanisms Nanostructured thermoelectrics Plasticity-induced crack closure Recent publications demonstrate strong focus on fatigue crack growth modeling in high-temperature alloys (2019-2024), with applications in nuclear reactor components and energy systems. His work combines experimental validation with advanced computational simulations. Awards include: University Mid-Career Faculty Award (2015) Orr Early Career Award, ASME (2007) Award for Excellence in Multiscale Modeling (2005) Research has been funded by Department of Energy, National Science Foundation, and Department of Defense. Current projects involve creep-fatigue characterization in nuclear reactor alloys and thermoelectric device development.

Kartik Iyerمشاهده پروفایل

استادیار

• Atmospheric Physics
• Turbulence
• Thermal Convection
• +۴ مورد دیگر

Kartik Iyer is an Assistant Professor jointly appointed in the Department of Physics and Department of Mechanical and Aerospace Engineering at Michigan Tech. He earned his PhD in Aeronautics from the Georgia Institute of Technology, followed by postdoctoral appointments at the University of Rome and New York University. Research focuses on Atmospheric Physics, Turbulence, Thermal Convection, and Numerical Simulations. Director of the Iyer Research Lab , specializing in supercomputing and turbulent flow analysis. His scientific work spans turbulence theory, scalar transport, and computational methods, with over 15 recent publications in top-tier journals. Key areas include the Zeroth Law of Turbulence, circulation statistics, bifractal scaling, and subgrid-scale modeling. Despite his focus on high-performance computing, no specific awards or honors are mentioned in the provided data. Dr. Iyer teaches courses related to atmospheric physics and heat transfer, emphasizing interdisciplinary approaches between physics and engineering disciplines.