جست‌وجوی استاد و پژوهشگر

Lucy Zhangمشاهده پروفایل

استاد

• Computational Mechanics
• Fluid-Structure Interactions
• Computational Biomechanics
• +۳ مورد دیگر

Lucy Zhang is a Professor and Associate Dean for Research Innovations, Partnerships, and Workforce Development at Rensselaer Polytechnic Institute (RPI). She holds a Ph.D. from Northwestern University and previously served as an assistant professor at Tulane University before Hurricane Katrina. Her primary affiliation is in the Department of Mechanical, Aerospace, and Nuclear Engineering, with a secondary affiliation in Biomedical Engineering within the School of Engineering. Dr. Zhang’s research focuses on computational mechanics, particularly fluid-structure interactions, computational biomechanics, and multiphysics-multiscale simulations. Her work bridges engineering and biomedical applications, including aerodynamics, cardiovascular modeling, and material corrosion analysis. Notable contributions include the development of the OpenIFEM software framework for fluid-structure interaction simulations and studies on respiratory droplet dynamics during pandemics. Her recent research integrates machine learning with fluid dynamics solvers, explores material degradation under extreme conditions, and addresses challenges in neurorehabilitation modeling through NSF-funded initiatives. Dr. Zhang collaborates across disciplines, leveraging high-performance computing and numerical methods to solve complex engineering and biomedical problems. Her NSF grant on fibrous material performance under real-world conditions underscores her commitment to translational research.

Shengzhe Wangمشاهده پروفایل

استادیار

• Coastal Engineering
• Structural Engineering
• Urban Resilience
• +۳ مورد دیگر

Shengzhe (Jackson) Wang is an Assistant Professor of Civil Engineering at the University of Colorado Denver, affiliated with the College of Engineering, Design and Computing. His research focuses on coastal and floating structures, thin-shell architecture, and climate adaptation solutions. He holds a Ph.D. from Princeton University, an MPhil from the University of Sydney, and a BEng from the University of Auckland. Education: Ph.D., Civil & Environmental Engineering, Princeton University MPhil, Civil Engineering, University of Sydney BEng, Civil & Environmental Engineering, University of Auckland Research Interests: Dr. Wang explores the intersection of structural engineering and environmental resilience. His work includes: Hydrodynamic interactions between extreme waves and coastal infrastructure Thin-shell structural mechanics and geometric optimization Urban resilience through floating architecture and climate-adaptive designs Machine learning for predictive structural analysis His methodologies blend numerical simulations (e.g., SPH, FEA) with experimental validation. Key Contributions: Recent work emphasizes floating cities, mangrove-based coastal protection, and Felix Candela’s hyperbolic paraboloid structures. His research bridges engineering, architecture, and environmental science. Advising & Grants: No advisees listed; active in securing grants for climate-resilient infrastructure projects. Lab: CASE Lab (website: caselab.dev ).

Behrooz Ferdowsiمشاهده پروفایل

استادیار

• Computational Mechanics
• High Performance Computing
• Rheology of Granular Materials
• +۶ مورد دیگر

Behrooz Ferdowsi is an Assistant Professor in the Department of Civil and Environmental Engineering at the University of Houston. His research bridges computational mechanics, granular physics, and Earth surface processes, with a focus on geohazard prediction and soil mechanics. Research Interests : Transient rheology of granular and disordered Earth materials Computational modeling using DEM, CFD-DEM, and FEM Frictional instability in landslides, earthquakes, and glacial systems Soil production and transport mechanisms Recent Article Trends : 2025 studies on fluid-saturated granular dynamics and landslide shear zones 2024 work on frozen soils, humidity effects, and soft matter physics 2023 publications on clayey materials, dilatancy, and 3D strain localization Scientific Awards : 2023 : American Chemical Society PRF-DNI Award 2017 : Harry H. Hess Postdoctoral Fellowship (Princeton) 2012 : Les Houches Winter School Scholarship Collaborations : Princeton University (Geosciences Department) Brown University (Fault Gouge Experiments) Hewlett Packard Enterprise Data Science Institute (University of Houston) For details about ongoing projects or advising opportunities, contact Behrooz directly at bferdowsi@uh.edu .

Shahriar Afkhamiمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Interfacial Phenomena
• Nanoscale Flows
• +۲ مورد دیگر

Dr. Shahriar Afkhami is Professor and Associate Chair for Graduate Studies in Mathematical Sciences at New Jersey Institute of Technology, with a joint appointment in Data Science. He holds a Ph.D. in Mechanical Engineering from the University of Toronto (2007) and completed postdoctoral training at Virginia Tech. His research expertise includes: Computational modeling of interfacial phenomena Dynamics of complex fluids and soft matter Nanoscale fluid behavior and wetting Magnetic fluid dynamics and applications High-performance numerical methods Dr. Afkhami's publications focus on fundamental aspects of fluid behavior at interfaces and small scales. Recent work examines dynamic contact angles, viscoelastic flow instabilities, magnetic nanoparticle transport for drug delivery, and numerical challenges in wetting phenomena. His research combines advanced numerical techniques with physical insights to address problems in fluid dynamics and interfacial science. He has held visiting positions at Brown University, Institut Jean le Rond d'Alembert (Paris), and Virginia Tech. Dr. Afkhami serves as affiliate faculty with NJIT's Institute for Data Science and Center for AI Research. No scientific awards or student information is provided.

Bedřich Sousedíkمشاهده پروفایل

دانشیار

• Applied and Computational Mathematics
• Numerical Analysis
• Scientific Computing
• +۵ مورد دیگر

Bedřich Sousedík is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC). He joined UMBC in 2014, transitioning from roles as a Research Associate at the University of Southern California and University of Maryland, College Park. His academic journey includes a Ph.D. in Applied Mathematics (2010, University of Colorado Denver) and a Ph.D. in Civil Engineering (2008, Czech Technical University in Prague). Education: Ph.D. in Applied Mathematics, University of Colorado Denver (2010) Ph.D. in Civil Engineering, Czech Technical University (2008) M.Eng. in Mechanical Engineering, Czech Technical University (2001) Research Interests: Focuses on applied and computational mathematics, including numerical analysis, scientific computing, uncertainty quantification, stochastic finite element methods, and domain decomposition techniques. His work emphasizes scalable algorithms for complex systems with parametric uncertainty. Professional Contributions: Author of ~43 refereed publications (24 journals, 12 conferences) with an h-index of 15 (Google Scholar) Principal Investigator on NSF grants totaling $219,999 for multilevel methods research Recipient of prestigious awards including the 2010 Prof. Babuška Prize and 2020 Early Career Excellence Award Advising & Teaching: Supervised 8 Ph.D. and Master’s students since 2014 Mentored undergraduate research projects in computational fluid dynamics and epidemiological modeling

Prashant Khareمشاهده پروفایل

دانشیار

• Fluid Dynamics
• Combustion
• Multiphase Flows
• +۳ مورد دیگر

Dr. Prashant Khare is an Associate Professor and Bradley Jones Chair in the Department of Aerospace Engineering at the University of Cincinnati (UC), leading the College of Engineering and Applied Science. He holds a Ph.D. from Georgia Institute of Technology and an M.S. from Penn State University. His research focuses on multiphase fluid dynamics, combustion, and machine learning applications in aerospace engineering, leveraging high-performance computing (HPC) infrastructure. He co-founded UC's Advanced Research Computing (ARC) center and has secured significant federal/state grants totaling over $2.5M in recent years. His research group investigates hypersonic flows, spray combustion, and shock-droplet interactions, employing LES/DNS simulations and data-driven modeling. Notable achievements include AIAA Associate Fellow (2024), Best Research Paper Award (2024), and multiple teaching/mentorship accolades. He advises graduate students and collaborates with industry partners like General Electric Aviation. Current projects include NASA-funded studies on hypersonic propulsion and NSF-supported HPC cluster development. Education: Ph.D. Aerospace Engineering (Georgia Tech, 2014), M.S. Mechanical Engineering (Penn State, 2009) Labs/Teams: Khare Research Group, Advanced Research Computing (ARC) Center Grants: Over 20 active/funded projects including $1M NSF MRI award and ONR computational naval sciences initiatives

• Discretization Methods
• Porous Media Flow
• Numerical Simulation
• +۳ مورد دیگر

Bernd Flemisch is an Adjunct Professor at the University of Stuttgart, affiliated with the Department of Hydromechanics and Modelling of Hydrosystems within the Institute for Modelling Hydraulic and Environmental Systems. He holds a Dr. rer. nat. habil. (2013) and has been active in academic research since 2001. Education: 2001: M.Sc. in Mathematics, Iowa State University 2006: Doctoral Degree (Dr. rer. nat.), University of Stuttgart 2013: Habilitation (Dr. rer. nat. habil.), University of Stuttgart Research Interests: Flemisch specializes in discretization methods, solvers, and research software development for porous media flow. His work focuses on numerical simulation of multiphase systems, coupled flow processes, and adaptive multi-scale modeling. Key areas include computational geosciences, fluid mechanics, and energy storage solutions such as hydrogen and CO₂ sequestration. Professional Activities: Since 2024: Project leader in CRC 1667 and Base4NFDI/Jupyter4NFDI Since 2023: Dean of Studies for Civil Engineering at University of Stuttgart Leadership roles in NFDI4Ing (National Research Data Infrastructure for Engineering) Co-developer of open-source simulators like DuMuX and Frackit Lab & Teams: Engages in collaborative projects such as the FluidFlower CO₂ storage experiment and the Stuttgart Center for Simulation Science (SC SimTech). His work emphasizes reproducible research and sustainable software practices.

• Environmental Hydrology
• Subsurface Flow Modeling
• Vadose Zone Hydrology
• +۹ مورد دیگر

Dr. Tissa H. Illangasekare serves as the AMAX Distinguished Chair of Environmental Sciences and Research Professor in the Department of Civil and Environmental Engineering at Colorado School of Mines. He directs the Center for the Experimental Study of Subsurface Environmental Processes, focusing on flow and transport in permeable media. His research spans subsurface hydrology, CO2 sequestration, PFAS contamination, and humanitarian engineering applications. His work includes numerical modeling of saturated/unsaturated flow, environmental impacts of energy development , and wireless sensor networks for monitoring. Recent publications emphasize PFAS transport mechanisms, geologic CO2 storage, and multiscale hydrologic modeling. Notably, he has led studies on climate change impacts and human health risks related to groundwater contamination. Elected foreign member of Academia Europaea (2022) PSIPW International Groundwater Prize (2016) Henry Darcy Medalist by European Geoscience Union (2012) Honorary Doctorate, Uppsala University (2010) As Editor of Frontiers in Water and AGU's Perspectives in Earth and Planetary Sciences , he shapes global hydrologic research discourse. His lab conducts intermediate-scale experiments bridging laboratory and field studies for subsurface process validation.

Vanessa Eganمشاهده پروفایل

دانشیار

• Heat Transfer
• Fluid Mechanics
• Microfluidics
• +۸ مورد دیگر

Dr. Vanessa Egan is an Associate Professor at the University of Limerick, affiliated with the School of Engineering and the Bernal Institute. Her research focuses on heat transfer and fluid mechanics in two-phase/multiphase flows, aircraft compartment cooling, and thermal management of electronics. She employs advanced experimental techniques like Particle Image Velocimetry (PIV) and IR thermography. Her work has been supported by industry partnerships and competitive grants, resulting in over 80 publications, including 25 peer-reviewed journal articles and book chapters. Research Interests: Two-phase flow analysis in microfluidics Aircraft compartment heat transfer Low-profile cooling solutions for electronics Optical measurement techniques for fluid dynamics Nanofluids thermal performance Recent Research Trends: Her recent articles emphasize heat pipe optimization, liquid-liquid Taylor flow dynamics, and thermal management systems for aerospace and electric vehicles. Collaborations have explored novel methodologies for non-destructive analysis of heat pipes and real-time flow characterization. Advising & Grants: Dr. Egan has supervised four PhD students to completion and secured funding from industrial and competitive grant sources. Her work contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and industry innovation (SDG 9). Labs & Teams: Active within the Bernal Institute, her research integrates interdisciplinary approaches to thermal and fluid systems, with applications in aerospace, electronics, and energy storage.

Bianca Viggianoمشاهده پروفایل

استادیار

• Fluid Mechanics
• Turbulence
• Multiphase Flows
• +۴ مورد دیگر

Bianca Viggiano is an Assistant Professor in the Department of Mechanical Engineering at Polytechnique Montréal. She holds a Ph.D. in Mechanical Engineering from Portland State University, where her thesis on turbulent jet dynamics earned the Outstanding Dissertation Award. Her research focuses on fluid mechanics, turbulence, multiphase flows, and modeling/simulation, with affiliations to the Fluid Dynamics Laboratory (LADYF). She has published over 20 peer-reviewed articles and received prestigious awards, including the Young Scientist Prize from the European Fluid Mechanics Conference. Education: B.Sc. Applied Mathematics (University of Oregon, 2011) B.Sc. Mechanical Engineering (Portland State University, n.d.) M.Sc. Mechanical Engineering (Portland State University, n.d.) Ph.D. Mechanical Engineering (Portland State University, 2022) Research Interests: Fluid mechanics, turbulence, multiphase flows, and modeling. Applications in renewable energy (wind turbines) and thermal management (solar panel cooling). Experimental and computational techniques for flow analysis. Publications: Recent work includes studies on inertial particle clustering in jets, Lagrangian modeling of turbulent flows, and wind turbine wake dynamics. Articles span journals like Physical Review Fluids and International Journal of Multiphase Flow . Awards: Highlights include the 2022 Outstanding Dissertation and Young Scientist Prize for contributions to fluid dynamics research. Advising & Grants: Actively recruiting students for projects on turbulence and multiphase systems. Collaborates on funded initiatives, including the New Frontiers in Research Fund. Labs/Teams: Member of the Fluid Dynamics Laboratory (LADYF), focusing on advanced fluid mechanics research.

Ronaldo Borjaمشاهده پروفایل

استاد

• Computational Mechanics
• Geomechanics
• Geosciences
• +۳ مورد دیگر

Ronaldo Borja is a Professor of Civil and Environmental Engineering at Stanford University, affiliated with the School of Engineering. He holds editorial roles at Acta Geotechnica and the International Journal for Numerical and Analytical Methods in Geomechanics . His research focuses on computational mechanics, geomechanics, and geosciences, particularly in strain localization, coupled hydromechanical processes, and finite element modeling of geological materials. He earned his PhD from Stanford University in 1984. Education: PhD, Stanford University (1984). Research interests include: computational poromechanics, shale mechanics, fluid-structure interaction, and anisotropic plasticity. He has authored textbooks such as Plasticity Modeling & Computation (Springer, 2013) and edited volumes on multiscale geomechanics. His work bridges microscale characterization (e.g., nanoindentation of shale) with macroscale phenomena like landslide dynamics and fault rupture modeling. Key awards include the 2016 ASCE Maurice A. Biot Medal. He teaches courses like CEE 101C (Geotechnical Engineering), CEE 281 (Finite Elements), and advanced doctoral courses in computational plasticity. Lab activities include projects on shale deformation, pore-scale modeling, and multiphase poromechanics. His research emphasizes multiscale approaches, combining experimental data with numerical simulations to address challenges in energy and geohazard mitigation.

Nico Grayمشاهده پروفایل

استاد

• Granular Flows
• Geophysical Flows
• Industrial Processes
• +۳ مورد دیگر

Nico Gray is a Professor of Applied Mathematics at the University of Manchester, affiliated with the Department of Mathematics and the Manchester Centre for Nonlinear Dynamics. He holds a PhD from Cambridge University and a Habilitation from the Technical University of Darmstadt. His research focuses on granular flows, including geophysical phenomena like snow avalanches, debris flows, and industrial processes such as silo and conveyor belt dynamics. He has held prestigious fellowships from EPSRC and the Royal Society, and leads projects on particle segregation and avalanche dynamics. Gray's educational background includes a first-class degree from the University of Manchester (1988) and a PhD in sea-ice dynamics from Cambridge (1992). He has been at Manchester since 1998, advancing through roles to full professorship in 2006. His work combines theory, computation, and experiments to study nonlinear systems, particularly shock waves and segregation patterns in granular materials. Research interests include particle segregation in avalanches, levee formation in granular flows, and rheology modeling. His recent projects involve NERC grants on self-organized mass flows and EPSRC funding on segregation dynamics. He has over 100 publications and collaborates internationally. Gray advises on PhD projects related to granular flows and has received awards such as the Inaugural ‘Outstanding Reviewer’ for Journal of Fluid Mechanics .

• Asymptotic Methods
• Fluid Dynamics
• Discrete Systems
• +۳ مورد دیگر

Dr. Christopher Lustri is a Senior Lecturer in Mathematics at the University of Sydney, part of the Faculty of Science. He holds a DPhil from the University of Oxford (2013) and a BEng/BAppSci from Queensland University of Technology (QUT). His research focuses on asymptotic methods, fluid dynamics, and discrete systems, with particular emphasis on exponential asymptotics to study phenomena like the Stokes Phenomenon. He has held roles at Macquarie University (2016–2023) and was a postdoc at the University of Sydney under Prof. Nalini Joshi. His work bridges theoretical mathematics with applications in fluid dynamics, nonlinear waves, and collective behavior. Notable contributions include studies on viscous fingering, granular chains, and self-assembly in biological systems. He was awarded the J. H. Michell Medal (2023) for outstanding research in applied mathematics. His work appears in journals like Nature Communications , Proceedings of the Royal Society A , and Journal of Fluid Mechanics . Research Themes: Exponential asymptotics in differential/difference equations Free-surface flows and bubble dynamics Discrete systems (e.g., particle chains, nonlinear waves)

• Fluid Dynamics
• Turbulence Modeling
• Heat Transfer
• +۶ مورد دیگر

Konstantina Vogiatzaki is an Associate Professor of Engineering Science and Tutorial Fellow at Somerville College, University of Oxford. She leads research in multiscale computational modeling for fluid dynamics, phase change, turbulence, and heat transfer, with applications in energy systems, propulsion, and carbon capture. Her work combines analytical methods, supercomputing datasets, and machine learning to develop high-fidelity models for complex systems like gas turbines, injection devices, and human organs. Education: BSc in Applied Mathematics from National Technical University of Athens; PhD in Combustion Modeling from Imperial College London. Postdoctoral and research roles at Imperial College London, MIT, and multiple UK institutions. Research focuses on sustainable energy solutions, including cryogenic fluid dynamics, turbulent combustion, and multiphase flow modeling. Collaborates with industries to optimize environmentally responsible energy systems. Awards include the Bernard Lewis Fellowship (2010) and Hinshelwood Prize (2016). Advancing numerical methods for CFD simulations, including LES/Eulerian-Lagrangian frameworks and machine learning integration. Active in professional organizations such as the Combustion Institute and Institute of Physics.

• Fluid Mechanics
• Renewable Energy
• Tidal Energy
• +۵ مورد دیگر

Federico Zilic de Arcos is a Departmental Lecturer in Civil Engineering Fluid Mechanics at the University of Oxford, associated with St Edmund Hall. His expertise lies in tidal energy systems, fluid-structure interactions, and computational fluid dynamics (CFD). He holds a PhD from Oxford's Tidal Energy group, where his thesis focused on tidal turbine hydrodynamics. After a postdoc in Oxford, he was awarded an H2020 Marie Skłodowska-Curie fellowship (co-funded by the Region of Normandy) to study dynamic loads on tidal rotors at the Laboratoire Ondes et Milieux Complexes in France. His research spans tidal energy extraction, floating energy systems, and the hydrodynamics of axial-flow rotors. Key contributions include CFD modeling of tidal turbines, blade deformation control, and array performance optimization. His work bridges experimental and numerical methods, addressing challenges in renewable energy systems. Education: Bachelor's in Naval Engineering, Austral University of Chile (2015) DPhil in Civil Engineering, University of Oxford (2017–2021) Awards: Marie Skłodowska-Curie fellowship (2020–2023) Labs/Teams: Oxford Tidal Energy Group, Laboratoire Ondes et Milieux Complexes (France)