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Hakan I. TarmanView profile

Professor

• Computational Mechanics
• Hydrodynamic Stability
• Spectral Methods
• +3 more

Dr. Hakan I. Tarman is a Professor at the Mechanical Engineering Department of Middle East Technical University (METU) , Ankara, Turkey. He is also affiliated with the Department of Engineering Sciences and interdisciplinary graduate programs in Biomedical Engineering (Biomechanics Group member since 2006, Program Coordinator 2015-2017) and Earth System Sciences. B.Sc. in Mechanical Engineering and Mathematics (Boğaziçi University, 1982) M.Sc. in Mechanical Engineering (Boğaziçi University, 1984) Ph.D. in Applied Mathematics (Brown University, 1989) His research focuses on Computational Mechanics , Hydrodynamic Stability , and Spectral Methods , including applications to thermal convection under magnetic fields, fluid-structure interactions, and biomedical flows. Recent publications highlight spectral solenoidal-Galerkin methods for convection and pipe flows, drag reduction via phase randomization, and photonic nanojet analysis. Key scientific contributions include projects funded by TÜBİTAK (e.g., 109M435) and METU-BAP (e.g., 2004-03-10-01). He has supervised numerous M.S. and Ph.D. theses on topics like Uncertainty Quantification , Shell Optimization , and Lattice Boltzmann Modeling . Courses taught : Numerical Methods, Spectral Methods, Hydrodynamic Instability, PDE Numerical Methods Labs/teams : Collaborates with Biomechanics Group; integrates spectral methods with biomedical and geophysical applications

XENOPHONTOS CHRISTOSView profile

Professor

• Numerical Analysis
• Numerical Solution of Partial Differential Equations
• Finite Element Methods
• +1 more

Christos Xenophontos is a Professor in the Department of Mathematics and Statistics at the University of Cyprus (UCY), where he has served as an academic since 2004. He currently holds the position of Director of the Teaching and Learning Center (KE.DI.MA.) since 2022. His academic journey includes a B.Sc. (High Honors) in Mathematics from the University of William & Mary (1991), an M.Sc. (1993), and a Ph.D. in Applied Mathematics (1996) from the University of Maryland, Baltimore County. He has held positions at Ohio State University, Clarkson University, Loyola University, and UCY before his promotion to Professor in 2017. His research focuses on Numerical Analysis and Scientific Computing, with a particular emphasis on Finite Element Methods (FEM), singularly perturbed problems, partial differential equations, and computational mechanics. Notable contributions include advancements in hp-FEM for boundary value problems, isogeometric analysis, and numerical solutions to reaction-diffusion systems. His work bridges theoretical analysis and practical computational methods, addressing challenges in multi-scale and high-order systems. Xenophontos’ scholarly output includes over 60 peer-reviewed articles, with recent trends focusing on hp-FEM for singularly perturbed systems, neural network applications in numerical methods, and adaptive algorithms for complex boundary value problems. His methodologies emphasize robustness, exponential convergence, and error estimation in non-standard domains. He actively engages in international collaborations and contributes to academic leadership through his directorship at KE.DI.MA.

Tom GustafssonView profile

Lecturer

• Computational Mechanics
• Numerical Analysis
• Finite Element Methods
• +3 more

Tom Gustafsson is a University Lecturer in the Department of Energy and Mechanical Engineering at Aalto University. His research focuses on computational mechanics, numerical analysis, and finite element methods, with a particular emphasis on solving complex problems in solid and fluid mechanics, including obstacle problems, contact mechanics, and elastoplastic torsion. His work integrates advanced numerical techniques such as Nitsche's method, stabilized finite elements, and adaptive mesh refinement to address challenges in engineering applications. Key research areas include finite element methods for nonlinear problems, such as Stokes flow with slip conditions, Bingham fluid dynamics, and Tresca friction modeling. He has contributed to the development of open-source software like scikit-fem and published extensively on topics ranging from model order reduction to error analysis in mortar methods. Prizes: Article of the year award 2013-2014. Projects: Principal investigator of the project 'Adaptive high-order mortar methods for computational contact mechanics' (2021–2024). His research has been featured in media, including a report on 'Mortaring for Linear Elasticity Using Mixed and Stabilized Finite Elements' by Aalto University in 2023. Collaborations span computational mechanics, applied mathematics, and software development.

Samuel BrennerView profile

Research Fellow

• Sea Ice Physics
• Physical Oceanography
• Polar Climate Science
• +3 more

Samuel Brenner is a Postdoctoral Scholar Research Associate in Environmental Science and Engineering at the California Institute of Technology, working within the Division of Engineering and Applied Science. His research centers on dynamic and thermodynamic processes linking sea ice and the upper ocean, utilizing idealized numerical models, in situ measurements, and coupled Earth-system models to improve climate model parameterizations. His academic background includes a Ph.D. from the University of Washington, where he investigated atmosphere-ice-ocean momentum transfer through the SODA project in the Beaufort Sea, and a Master's degree from the University of British Columbia focused on lake dynamics and seiche modes in multi-armed systems. Ph.D., University of Washington M.S., University of British Columbia Brenner's primary research examines sea ice physics in the marginal ice zone, emphasizing floe-scale effects on air-sea-ice momentum and energy exchange. He integrates field observations, high-resolution numerical modeling (including discrete element models), and theoretical analysis to study inertial oscillations, surface gravity waves, and eddy interactions. His secondary interests include coastal and inland waters, particularly multi-armed lakes. His publication trends reveal a progression from lake dynamics to polar oceanography, with recent work prioritizing floe-scale processes to enhance Earth-system model accuracy. He consistently employs multi-method approaches, combining SODA project data with advanced simulations to address scale-dependent phenomena in polar regions. No scientific awards were documented in the source material. Brenner's research has been supported by collaborative projects like SODA, with affiliations spanning the University of Washington's Environmental Fluid Mechanics group, Brown University (during initial postdoctoral work), and Caltech's Linde + Robinson Laboratory. He actively seeks collaborations, emphasizing science as 'a team sport,' and has participated in fieldwork across the Arctic and Salish Sea. Current efforts focus on high-resolution coupled modeling of sea ice floes and ocean dynamics, with future directions targeting ice-covered lakes and coastal ice-ocean interactions. His work bridges observational data and model development to refine climate projections.

Taylor ErwinView profile

Academic

• Computational Fluid Dynamics
• Aerospace Engineering
• High-Performance Computing
• +3 more

Taylor Erwin is a Research Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee. They are affiliated with Oak Ridge National Laboratory and focus on computational fluid dynamics (CFD), high-order numerical methods, and finite-element solvers. Their work emphasizes turbulence modeling, shock capturing techniques, and aerodynamic simulation for aerospace applications. Research interests include the development of the COFFE solver within the HPCMP CREATE-AV Kestrel framework, high-performance computing optimizations, and mesh adaptation strategies. Erwin’s contributions span RANS and LES simulations, transition modeling, and validation against benchmark configurations. They collaborate on projects involving ultra-efficient aircraft design, slotted natural laminar flow concepts, and parallel computing scalability. Key technical trends in their articles include advancements in finite-element discretization, shock-capturing algorithms for discontinuous Galerkin methods, and the integration of turbulence models like Spalart-Allmaras. Recent work highlights the application of output-based mesh adaptation and high-order curved meshes for improving solution accuracy in complex flows. No scientific awards are explicitly listed in the provided information. Advising and graduate student supervision details are not mentioned. Erwin is involved with the COFFE project and the HPCMP framework, contributing to multi-level parallelism strategies and solver robustness in computational engineering. Affiliations include the University of Tennessee and Oak Ridge National Laboratory, with research activities centered on aerospace CFD challenges and high-fidelity simulation technologies.

Ryan GlasbyView profile

Adjunct Professor

• Computational Engineering
• Computational Fluid Dynamics (CFD)
• Hypersonic Flows
• +3 more

Ryan Glasby is a Joint Faculty member at the University of Tennessee and Oak Ridge National Laboratory (ORNL), specializing in computational engineering and high-fidelity fluid dynamics simulations. His research focuses on multiphysics modeling, hypersonic flows, shock wave interactions, and advanced numerical methods for CFD. He leads development efforts for solvers like VERTEX-CFD and Spinnaker , which are designed for high-performance computing platforms. His work spans experimental validation through techniques like acetone molecular tagging velocimetry and computational innovations in finite-element methods. Glasby collaborates closely with U.S. Department of Defense initiatives, contributing to projects such as HPCMP CREATE-AV Kestrel. Key areas include turbulence modeling, thermal nonequilibrium processes, and optimization of firearm suppression systems through fluid dynamics principles. Notable contributions include advancements in artificial compressibility methods for heat transfer simulations and strategic improvements to parallel processing algorithms for large-scale simulations. His research bridges fundamental fluid dynamics with practical applications in aerospace engineering and defense technologies.

Matthew KnepleyView profile

Professor

• High-Performance Computing
• Geophysical Modeling
• Scientific Library Development
• +3 more

Matthew Knepley is a Professor and Co-Director of Graduate Studies in the Department of Computer Science and Engineering at the University at Buffalo, affiliated with the School of Engineering and Applied Sciences. He also holds an affiliation with the Department of Mechanical and Aerospace Engineering within the same school. His research focuses on scalable numerical methods for multiphysics problems, including geophysical modeling (e.g., crustal deformation, mantle convection), scientific library development (e.g., PETSc, PyLith), and high-performance computing techniques for GPUs and exascale systems. Dr. Knepley earned his PhD in Computer Science from Purdue University (2000), MS in Computer Science from the University of Minnesota (1996), and BS in Mathematical Physics from Case Western Reserve University (1994). His research interests include the development of efficient solvers for partial differential equations, mesh adaptation, and the integration of advanced numerical methods into computational frameworks. He leads the Engineering Laboratory for Advanced Computational Science, advancing tools like PyLith for crustal dynamics and PETSc for parallel scientific computing. Recent publications highlight advancements in mesh transformations, finite difference stencils, and landau collision operators, reflecting his commitment to computational efficiency and portability. His work bridges theoretical numerical methods with real-world applications in geophysics, fluid dynamics, and climate modeling.

Albert WendlandView profile

Professor

• Science Fiction Studies
• Creative Writing
• Literary Criticism
• +3 more

Albert Wendland is a Professor of English at Seton Hill University, where he has served for decades. He holds a Ph.D. in English from the University of Pittsburgh (1979), an M.A. in English from the same institution (1973), and a B.S. in Physics and English from Carnegie Mellon University (1970). His career transitioned from physics to English literature, driven by his passion for science fiction writing and literary analysis. Wendland's research interests center on science fiction studies, creative writing pedagogy, and interdisciplinary approaches to literature. He explores themes like the sublime in speculative fiction, cultural contexts of 1950s SF comics, and narrative techniques in popular genres. His work bridges academic criticism with creative output, including novels, poetry collections, and scholarly articles. Wendland has published extensively on topics ranging from superhero narratives to alien worldbuilding, with notable works like Temporary Planets for Transitory Days (2020) and In a Suspect Universe (2018). His articles often analyze the intersection of science fiction and real-world cultural dynamics, emphasizing visual and narrative innovation. He has received the Caritas Christi Award for 20 years of service (Seton Hill University) and was named Professor-of-the-Year in 2014. As Director of the MFA in Writing Popular Fiction program since 2008, he has shaped academic curricula and fostered student creativity. His professional service includes leadership roles in the International Association for the Fantastic in the Arts and frequent conference presentations on genre theory and pedagogy.

Laleh MotlaghView profile

Lecturer

• Contemporary Art
• Multicultural Identity
• Socio-Cultural Studies
• +3 more

Laleh Motlagh is a Lecturer at the School of the Art Institute of Chicago (SAIC), specializing in Contemporary Practices and interdisciplinary art education. She holds an MFA from the University of Illinois Chicago. Her work explores themes of love, spirituality, multicultural identity, and socio-cultural alienation through mediums like drawing, performance, and installation. Motlagh’s research interrogates human-nature boundaries, geopolitical borders, and notions of belonging, often collaborating with nonhuman elements. Education: MFA from University of Illinois Chicago (UIC). Research Interests: Motlagh’s practice bridges art and activism, addressing multicultural identity and geopolitical dynamics. Her work challenges socio-cultural norms through immersive installations and performances, often reflecting her Iranian-Azerbaijani heritage and diasporic experiences. She employs interdisciplinary methods to explore trust, resilience, and the interplay between admissible and taboo cultural narratives. Awards: Individual Artists Program grant (Chicago Department of Cultural Affairs) Newcity’s Breakout Artist U.S. Fulbright Independent Artist Research grant Provost’s Award for Graduate Research Teaching & Grants: Motlagh teaches courses in sculpture, portfolio development, and architecture. She integrates critical discourse on cultural context into her pedagogy. Her grants support research into border zones and identity politics. Labs/Teams: Collaborates with global institutions like Museo Universitario del Chopo (Mexico City) and NAHR (Italy), fostering cross-cultural artistic dialogues.

Yuri GodinView profile

Associate Professor

• Partial Differential Equations
• Mathematical Physics
• Wave Propagation
• +3 more

Yuri Godin is an Associate Professor in the Mathematics & Statistics Department at the University of North Carolina at Charlotte. His research focuses on Partial Differential Equations, Mathematical Physics, and Wave Propagation in periodic and random media. He holds an M.Sc. from St. Petersburg State Polytechnic University (1985) and a Ph.D. from Technion – Israel Institute of Technology (1994). His work explores the propagation of acoustic and elastic waves in structured materials, emphasizing dispersion, spectral gaps, and composite material properties. Key interests include analyzing wave behavior in periodic media with soft inclusions and studying the effects of disorder on wave dynamics in optical systems. Godin has published extensively in journals such as Physics Letters A, Proceedings of the Royal Society A, and the SIAM Journal on Applied Mathematics. His research bridges theoretical analysis and applications in materials science and photonics, with a focus on high-contrast media and effective properties of complex structures.

Manoj ChopraView profile

Professor

• Geotechnical Engineering
• Civil Engineering
• Soil Behavior
• +7 more

Manoj Chopra is a Professor of Civil Engineering and serves as the Associate Dean for Academic Affairs in the College of Engineering and Computer Science at the University of Central Florida (UCF). He has been a key academic and administrative leader at UCF since 1993, contributing to engineering education, research, and institutional governance. His roles include the NCAA Faculty Athletics Representative, ABET program evaluator, and former Director of the UCF Stormwater Management Academy. Research Interests: Dr. Chopra's research spans geotechnical and environmental engineering, with a strong focus on soil behavior, foundation systems, sinkhole formation, groundwater interactions, soil erosion control, and sustainable materials such as pervious pavements and recycled concrete aggregates. His work addresses critical infrastructure resilience and environmental sustainability in urban and karst environments. His recent publications highlight experimental and analytical studies on sinkhole dynamics, drainage system performance, and tunnel monitoring techniques. The research integrates laboratory testing, field data, and computational modeling, contributing to safer and more sustainable civil infrastructure. Scientific Awards and Recognition: Teaching Incentive Program (TIP) Award (2016, 2012, 2007, 2002) Jim Jammal Annual Lecture (2015) – Topic: Does the Water Table Speak to us about Sinkholes? Inducted into Phi Kappa Phi Honor Society as Distinguished Faculty (2013) University Excellence in Faculty Advising (2001) NASA Kennedy Space Center Gold Quality Dollar Award (2001) Advising and Leadership: Dr. Chopra has played a major role in academic leadership, serving as Assistant Chair of his department, Faculty Senate Chair, UCF Board of Trustees member (2005–2009), and faculty representative to the Florida Board of Governors. He was a UCF Provost Faculty Fellow in 2014, helping launch the Faculty Cluster Initiative. He is deeply committed to student success, particularly through his long-standing role supporting student-athletes' academic progress. Labs and Research Teams: He led the UCF Stormwater Management Academy and has collaborated on interdisciplinary research involving hydrogeology, geotechnical engineering, and environmental systems. His work often involves partnerships with state and federal agencies focused on infrastructure resilience in Florida’s unique geological setting.

Patrick GasdaView profile

Adjunct Professor

• Geochemistry
• Petrology
• Mineralogy
• +4 more

Patrick Gasda is an Adjunct Professor in the Department of Earth and Planetary Sciences at the University of New Mexico, while serving as a Research Scientist at Los Alamos National Laboratory (LANL). His research focuses on Martian geochemistry, astrobiology, and laser-based spectroscopy methods, particularly using data from the NASA Curiosity rover and ChemCam instrument. He investigates boron's role in prebiotic chemistry on Mars and aqueous alteration processes in Gale Crater's sediments. Gasda's work integrates field observations with laboratory analyses to understand Martian diagenetic histories, climate evolution, and potential habitable environments. His studies emphasize the layered sulfate-bearing units and Marker Band formations in Gale Crater, linking geochemical signatures to past water-rock interactions. Key areas of research include: (1) trace element geochemistry (e.g., lithium, boron) as tracers of aqueous processes; (2) sedimentary structures (wave ripples, concretions) as paleoenvironmental indicators; and (3) instrument calibration/optimization for planetary rovers. His contributions have advanced understanding of Mars' carbon cycle and potential for prebiotic molecule formation. Publications emphasize Gale and Jezero Crater geology, with recent work focusing on sulfate unit stratigraphy, manganese enrichment mechanisms, and the implications of rock coatings for late-stage surface alteration. No formal advisees are listed, though his collaborative projects likely involve graduate students at partner institutions. Gasda's affiliations bridge academia and applied research, combining UNM's Earth sciences training with LANL's planetary exploration expertise. His research has direct relevance to NASA's Mars Sample Return mission priorities and future astrobiology investigations.

Fabian DuddeckView profile

Professor

• Computational Mechanics
• Structural Optimization
• Crashworthiness Design
• +6 more

Prof. Dr.-Ing. Fabian Duddeck is a Professor of Computational Mechanics at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. His research focuses on numerical methods for structural simulation and optimization, including topology optimization for crashworthiness, material modeling for composites/biomaterials, and uncertainty quantification in multi-physics systems. He holds a Dr.-Ing. and Habilitation from TUM, with prior roles at BMW Group, Queen Mary University of London, and École des Ponts ParisTech. His work bridges academia and industry, addressing challenges in automotive and aerospace design. Education: Diplom (Civil Engineering, TUM 1990), Dr.-Ing. (Mechanics, TUM 1997), Habilitation (TUM 2002) Research Interests: Crash simulation optimization, composite materials, nonlinear dynamics, and uncertainty-aware design methodologies Scientific awards include the Spindler Award (1991). Over 50+ students have graduated under his supervision, with notable works in crashworthiness, composite structures, and multi-fidelity optimization. His lab collaborates internationally, integrating advanced algorithms with industrial applications.

• Underwater Acoustics
• Fluid-Structure Interaction
• Numerical Modeling
• +3 more

Dr. Daniel Wilkes is an Adjunct Research Fellow at Curtin University's School of Earth and Planetary Sciences within the Faculty of Science and Engineering. His research focuses on computational acoustics, fluid-structure interaction, and numerical modeling of underwater and environmental noise, particularly in marine engineering contexts. He collaborates with the External Collaborative Research Centre for Marine Science and Technology, contributing to advancements in boundary element method (BEM) techniques and their applications in acoustic simulations. Wilkes' work spans experimental and numerical investigations of sound radiation from marine structures, such as impact-driven piles and offshore wind turbine foundations, with a focus on mitigating environmental noise impacts. He has developed parallel FMBEM (Fast Multipole Boundary Element Method) models for large-scale acoustic problems and contributed to benchmarking studies like COMPILE for marine pile-driving noise prediction. His publications emphasize coupled fluid-structure interaction (FSI) analysis, low-frequency elastodynamic modeling, and the optimization of numerical methods for complex acoustic scenarios. While no formal awards are listed, his extensive publication record reflects significant contributions to acoustic engineering and environmental noise management.

Karel MatoušView profile

Professor

• Computational Mechanics
• Computational Science and Engineering
• Multiscale and Multi-physics Modeling
• +12 more

Karel Matouš is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Notre Dame , where he also serves as the Director of the Center for Shock-Wave Processing of Advanced Reactive Materials (C-SWARM) . His research is centered on computational mechanics and engineering, with a focus on multiscale and multiphysics modeling of heterogeneous materials. Education: Ph.D. in Theoretical and Applied Mechanics, Czech Technical University in Prague (2000) M.S. in Theoretical and Applied Mechanics, Czech Technical University in Prague Research Interests: Matouš’s work spans computational science and engineering , data-driven modeling , high-performance computing , and statistical micromechanics . He develops advanced numerical methods for modeling complex systems such as solid propellants, reactive materials, and particulate composites, often integrating microtomography data for realistic material reconstruction. Publication Trends: His recent publications emphasize reduced-order modeling , image-based simulations , and uncertainty quantification in multiscale systems. Many studies combine experimental data with computational frameworks to predict macroscopic behavior from microstructural features, particularly in reactive and heterogeneous materials. Scientific Awards: Fellow of ASME (2013) Visiting Professor at Eindhoven University of Technology with 10,000 EUR research grant (2016) Rector's Award, Czech Technical University (1999) Academician Z. Bazant's Prize (1996, 1997) Multiple recognitions for high-impact publications (ScienceDirect Top 25 Hottest Articles) Student awards including the Robert J. Melosh Medal and USNCCM9 presentation prize Advising and Grants: He has advised numerous Ph.D. and M.S. students in computational mechanics and materials science. His research is supported by major grants from the Department of Energy (e.g., C-SWARM: $11.6M), NSF , DoD (STTR/SBIR programs), and industry partners like 3M and ATK . These projects focus on adaptive modeling, shock-wave processing, and microstructural characterization of advanced materials. Labs and Teams: He leads the Computational Physics Group and the C-SWARM center, which involves collaboration with institutions including Purdue University, Indiana University, and the University of Illinois. The group utilizes high-performance computing and experimental validation to advance predictive modeling of extreme material behaviors.