جست‌وجوی استاد و پژوهشگر

• Numerical Simulation Techniques
• Fluid Dynamics
• Heat Transfer
• +۷ مورد دیگر

Brian Helenbrook is a Professor and the Paynter-Krigman Endowed Chair in Engineering Science Simulation at Clarkson University’s Coulter School of Engineering & Applied Sciences. He also serves as Associate Dean of Continuing & Professional Education. His expertise spans numerical simulation techniques for fluid flows and heat transfer, with a focus on adaptive ALE finite element methods. Research applications include solidification modeling for silicon/aluminum manufacturing, droplet dynamics, and aerodynamic optimization of Olympic luge sleds. Education: B.S. from University of Notre Dame (1991), Ph.D. from Princeton University (1997) Postdoctoral: Stanford University (Applied Strategic Computing Initiative) Fellowships: NASA Langley (2002), NASA Kennedy (2005) Research Interests emphasize high-order accuracy simulations, multiphase flows, and interdisciplinary applications like ducted wind turbines and crystal growth. He has published 50+ peer-reviewed articles and mentored 22 graduate students (13 Ph.D., 9 M.S.). Awards include Clarkson’s Distinguished Teaching Award (2014), τβπ and πτσ teaching accolades, and membership in the Million Dollar Club recognizing $1M+ in research funding. Grants: Supported by NSF, NASA, AFOSR, NYS Energy, and industry. Active in the Center for Advanced Materials Processing (CAMP) and Institute for a Sustainable Environment. Labs/Teams: Leads projects in thermal simulation, reduced-order modeling, and fluid-structure interaction.

Marek Behrمشاهده پروفایل

استاد

• Computational Mechanics
• Physiological Modeling
• Numerical Methods
• +۷ مورد دیگر

Professor Marek Behr is a Universitätsprofessor (C4/W3) at the Chair for Computational Analysis of Technical Systems (CATS) in the Faculty of Mechanical Engineering at RWTH Aachen University, Germany. He serves as founding director of the Center for Simulation and Data Science (JARA-CSD) since 2018, President of the German Association for Computational Mechanics since 2021, and is an Adjunct Professor of Chemical and Biomolecular Engineering at Rice University since 2005. Professor Behr's research focuses on computational mechanics with particular emphasis on physiological model development and numerical methods for complex fluids. His work spans Computational Fluid Dynamics (CFD) , High-Performance Computing (HPC) , Fluid-Structure Interaction (FSI) , and 4D Finite Element Methods . His research group at CATS develops advanced computational techniques for engineering and biomedical applications, with recent focus on cardiovascular modeling including hemolysis prediction, stent restenosis, and left ventricular dynamics under assist device support. The publication record of Professor Behr shows a strong trajectory in computational biomechanics, particularly in cardiovascular applications. His recent work (2023-2025) demonstrates increasing focus on multiphysics modeling of blood flow, stent-artery interactions, and computational approaches to understanding hemolysis and restenosis mechanisms. His research integrates advanced numerical methods with physiological modeling to address clinically relevant problems in cardiovascular medicine. Professor Behr has received significant recognition for his contributions to computational mechanics: Elected Fellow of the International Association for Computational Mechanics (IACM) in 2014 Recipient of the Leading Scientist Award (3.6 M€) from St. Petersburg, Russian Federation in 2010, described as "the largest individual scientific award in the world" Google Scholar h-Index of 45 and ISI h-Index of 30, based on approximately 3,600 citations Professor Behr serves as speaker of the International Research Training Group 2379 Modern Inverse Problems in collaboration with the Oden Institute at the University of Texas at Austin. He has established significant research collaborations across institutions and has supervised numerous PhD and Master's students. His work is supported by substantial research funding, including the 3.6 M€ Leading Scientist Award. The Chair for Computational Analysis of Technical Systems (CATS) under Professor Behr's leadership forms part of the Center for Simulation and Data Science (JARA-CSD), a collaboration between RWTH Aachen University and Forschungszentrum Jülich. CATS focuses on developing and applying advanced computational methods to solve complex engineering problems, with particular expertise in fluid dynamics, solid mechanics, and their interaction in biological systems.

Edgar Caraballoمشاهده پروفایل

استاد آموزشی

• Mechanical Engineering
• Fluid Mechanics
• Reduced Order Modeling
• +۴ مورد دیگر

Edgar Caraballo is an Associate Teaching Professor and Lead Departmental Advisor in the Department of Mechanical and Manufacturing Engineering at Miami University. He holds a Ph.D. in Mechanical Engineering from The Ohio State University (2008) and has extensive academic experience, including roles as Associate Professor at the University of Carabobo (1993-2003) and Visiting Scholar at Ohio State's Gas Dynamics and Turbulence Laboratory (GDTL). His research focuses on Reduced Order Modeling for flow applications, numerical simulation development, and shock wave boundary layer interactions. Caraballo has contributed to prestigious journals like the AIAA Journal and Physics of Fluids. Education: Ph.D., Mechanical Engineering, The Ohio State University, 2008 M.S., Mechanical Engineering, The Ohio State University, 2001 B.S., Mechanical Engineering, Universidad de Carabobo, Venezuela, 1993 Research Interests: Transmission systems, gears and clutches, Reduced Order Modeling for flow dynamics, numerical simulations, and experimental studies of supersonic inlet flows. His work emphasizes control applications and model development for fluid mechanics challenges. Notable Achievements: 1st place in BSME Graduation class of 1993 Pioneering contributions to cavity flow control via reduced-order models Experience & Affiliations: 2010–Present: Faculty roles at Miami University, progressing from Assistant to Associate Teaching Professor 2009–2010: Visiting Scholar at GDTL, Ohio State University Long-term involvement with AIAA and academic teaching across multiple institutions

• Thermodynamics
• Heat Transfer
• Fluid Dynamics
• +۴ مورد دیگر

Marco Cavazzuti is an Associate Professor at the Department of Engineering Sciences and Methods (DISMI) at the University of Modena and Reggio Emilia. His research focuses on thermodynamics, fluid dynamics, and energy systems, with a particular emphasis on computational fluid dynamics (CFD), heat transfer, and renewable energy applications. Cavazzuti teaches courses in Energy Engineering, Thermofluid Dynamics, and Industrial Heat Engineering, integrating theoretical and practical components with computational tools like OpenFOAM and Python. His research interests include multi-scale modeling of respiratory droplet transport for infectious disease risk assessment, plate-fin heat exchanger optimization, and thermal management of electric motors. He has contributed to projects like the IDEAS initiative for multi-source heat pump systems and the analysis of tunnel ventilation systems using 1D finite volume models. Cavazzuti's work spans both academic and industrial collaborations, addressing challenges in energy efficiency, CFD validation, and thermal system design. Key research trends in his publications include CFD-based modeling of complex flows (e.g., micro-channels, swirled jets), epidemiological droplet transport analysis, and optimization of thermal systems for renewable energy integration. He has also explored applications in automotive chassis design and cardiovascular flow dynamics using ultrasound and computational methods.

Sara Boarinمشاهده پروفایل

عضو هیئت علمی

• Nuclear Reactor Engineering
• Control-Oriented Modeling
• GenIV Reactors
• +۳ مورد دیگر

Sara Boarin is a Research Assistant at the Department of Energy (Politecnico di Milano), affiliated with the NRGroup. She holds an MSc (2011) and PhD (2017) in Nuclear Engineering from the same institution. Her research focuses on advanced nuclear reactor technologies, including GenIV systems like Lead-Cooled Fast Reactors (LFR) and Molten Salt Reactors (MSR). Key areas include control-oriented modeling, reduced order methods, and neutronics/CFD integration. Her PhD thesis ('Analytical and numerical investigation of single-phase natural circulation dynamics', 2017) explored thermal-hydraulic dynamics in nuclear systems, while subsequent work ('A multi-physics modelling approach for GenIV MSR', 2020) addressed integrated design challenges for next-generation reactors. She has collaborated extensively on Reduced Order Models and reactor dynamics analysis, contributing to both academic and industrial applications through NRGroup's R&D programs. Professional experience includes roles at Acciaieria Arvedi SpA (ITA) and POLIMI's NRGroup, with ongoing involvement in MSR and LFR projects since 2016. Her work bridges theoretical modeling with practical reactor control systems, emphasizing energy economics and sustainable nuclear technologies.

Antonio Cammiمشاهده پروفایل

استاد

• Nuclear Engineering
• Thermal Fluid Dynamics
• Fusion Energy Systems
• +۴ مورد دیگر

Prof. Antonio Cammi is a distinguished academic focusing on advanced nuclear technologies and thermal-fluid systems. His research integrates computational modeling, experimental validation, and innovative engineering solutions for fusion energy systems, molten salt reactors, and high-performance thermal management. Key areas include gyrotron design for plasma heating, remote maintenance systems for fusion facilities, and reactor safety through multiphysics analysis. He actively contributes to international projects like JUNO (neutrino detection), IFMIF-DONES (fusion materials testing), and EU-DEMO (demonstration fusion reactor). His work bridges fundamental physics with applied engineering, addressing challenges in reactor core dynamics, fuel cycle optimization, and computational efficiency. Notable methodologies include reduced order modeling (ROM), data assimilation techniques, and hybrid simulation approaches. Cammi collaborates with institutions like ENEA (Italian National Agency for New Technologies), ITER, and the University of Pavia (TRIGA reactor). Research interests span fusion plasma physics, advanced reactor materials, neutron radiation effects, and sustainable nuclear energy economics. His team develops novel tools for reactor safety assessment, including digital twins and real-time monitoring systems. Current projects emphasize high-flux testing infrastructure, passive safety systems, and modular reactor designs for next-generation energy systems.

• Fluid Mechanics
• Aerospace Engineering
• Turbulence Dynamics
• +۳ مورد دیگر

Theresa Ann Saxton-Fox is an Assistant Professor in the Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC), where she leads the Turbulent Dynamics Research Group. Her research focuses on understanding turbulent boundary layers under complex pressure gradients, with applications in aerospace engineering and flow control. She holds a Ph.D. in Mechanical Engineering from the California Institute of Technology (2018), an M.S. from Caltech (2013), and a B.S. from MIT (2012). Prior to UIUC, she was a Postdoctoral Researcher in Fluid Mechanics at Princeton University (2017–2018). Her work investigates spatiotemporal dynamics of turbulent flows, including pressure gradient effects, coherent structures, and reduced-order modeling. Key research areas include: turbulent boundary layer behavior under unsteady pressure gradients, vortex dynamics, and experimental facility design for flow control. Her lab is funded by the Office of Naval Research (ONR), National Science Foundation (NSF), Air Force Office of Scientific Research (AFOSR), and AFWERX. Recent articles highlight studies on unsteady pressure gradients' impact on boundary layers, novel experimental methodologies, and modal analysis techniques. Teaching responsibilities include courses like AE 100 (Intro to Aerospace Engineering), AE 311 (Incompressible Flow), and AE 598 MAF (Modal Analysis of Fluid Flow). Her research emphasizes translating experimental findings into predictive models, with applications in improving turbulence prediction for aerospace technologies. Current projects explore structural and dynamic insights into turbulent flows to enable advanced flow control strategies.

Bálint Kaszásمشاهده پروفایل

پژوهشگر

• Nonlinear Dynamics
• Fluid Mechanics
• Machine Learning
• +۳ مورد دیگر

Dr. Bálint Kaszás is a Researcher affiliated with the Professorship for Nonlinear Dynamics at ETH Zürich. His work focuses on advanced dynamical systems theory, with particular expertise in nonlinear dynamics, fluid mechanics, and data-driven modeling. He develops reduced-order models for complex systems such as turbulent flows and magnetic plasma dynamics, leveraging spectral submanifolds and machine learning techniques. His research also addresses climate modeling challenges and experimental fluid dynamics. Key research themes include: Reduced-order modeling of high-dimensional systems Data-driven analysis of chaotic and laminar flow transitions Nonlinear dynamics in magnetohydrodynamics (MHD) Development of tools like DifFault for materials science simulations Recent work emphasizes variational methods for flow visualization and fractional calculus-based approaches to oscillatory systems. His contributions bridge theoretical frameworks with practical applications in engineering and physics.

Christopher Battyمشاهده پروفایل

دانشیار

• Computer Graphics
• Scientific Computing
• Physics-based Simulation
• +۶ مورد دیگر

Christopher Batty is an Associate Professor and Director of Infrastructure at the University of Waterloo's Department of Computer Science. His research focuses on computer graphics and scientific computing, with an emphasis on physics-based numerical simulation of fluids and solids for applications in animation, visual effects, and interactive environments. He holds a Ph.D. from the University of British Columbia (2010) and a B.C.Sc. from the University of Manitoba (2004). His work spans fluid dynamics, solid mechanics, and geometry processing, addressing challenges like surface reconstruction, multi-scale simulations, and efficient solvers for complex fluid-solid interactions. Recent contributions include novel methods for divergence-free fluid editing, discrete elastic rod optimization, and Monte Carlo-based approaches for PDEs on surfaces. Batty’s research integrates computational geometry, numerical analysis, and optimization to create scalable and accurate tools for procedural fluid and solid simulation. His articles emphasize robustness in handling thin obstacles, narrow gaps, and intricate boundary conditions, often leveraging advanced techniques like closest point methods and monolithic solvers. No scientific awards are listed, though his extensive publication record reflects significant contributions to the field. He leads projects on adaptive liquid simulations, surface-only deformable models, and high-resolution embedded fluid surfaces.

Daniel Molzahnمشاهده پروفایل

دانشیار

• Electric Power Systems
• Optimization Algorithms
• Control Systems
• +۵ مورد دیگر

Dr. Daniel Molzahn is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech, with an affiliate appointment as a Computational Engineer at Argonne National Laboratory. His research focuses on developing optimization and control algorithms to enhance the reliability, efficiency, and equity of electric power systems. He holds a Ph.D. in Electrical Engineering from the University of Wisconsin-Madison and completed a Dow Postdoctoral Fellowship at the University of Michigan. His work addresses challenges such as nonlinear power flow equations, uncertainties in renewable generation, and wildfire risk mitigation through undergrounding investments. He leads projects like the VIP Team 'Gaming for Electric Power Grids' and has secured grants including a DOE-funded $4.2M 'DerGuard' initiative for distributed energy resource cybersecurity. Dr. Molzahn has received notable awards, including the 2021 IEEE PES Outstanding Young Engineer Award, 2022 NSF CAREER Award, and multiple teaching honors at Georgia Tech. His research spans topics like fair photovoltaic curtailment, distributed optimization algorithms, and resilience-driven grid design. His academic leadership includes roles as Vice-chair of the Technical Program Committee for PSCC 2020 and Guest Editor for IEEE Transactions on Smart Grid. He advises graduate students in power systems optimization, cybersecurity, and resilience engineering.

• Applied Mathematics
• Electrochemical Systems
• Multiscale Porous Media Modeling
• +۴ مورد دیگر

Professor Troy Farrell is the Executive Dean of the Faculty of Science at Queensland University of Technology (QUT). He holds a PhD (QUT) and B.Sc (Hons) from the University of Newcastle. His expertise lies in applied mathematics and physical chemistry, focusing on industrial systems like batteries, solar cells, and biomass processing. He leads major research projects in electrochemical nano-diodes, metal-air batteries, and coal seam gas modeling. Professor Farrell has secured over $2.8M in external funding and led national initiatives such as the Mathematics in Industry Study Group (MISG) and the ATN Industry Doctoral Training Centre. He is a Fellow of the Queensland Academy of Arts and Sciences and has received prestigious awards for his research and teaching. His teaching focuses on mathematical modeling, partial differential equations, and calculus, emphasizing student-centered pedagogy and innovation. Key achievements include developing multiphase models for food drying, phase-field models for lithium-ion batteries, and population balance models for biomass pretreatment. Research Projects: Mathematical modeling of biofuel production from cellulosic materials Electrochemical nano-diodes using Poisson-Nernst-Planck models Optimization of lithium-air batteries for secondary power Multiscale modeling of porous materials with hybrid continuum/particle methods Agrochemical uptake in plant cuticles Awards: ANZIAM Mid-Career Research Award (2015) QUT Vice-Chancellor's Award for Partnerships (2013) Australian Government Citation for Teaching Excellence (2006) Teaching & Leadership: Professor Farrell pioneered innovative teaching methods recognized by the Carrick Institute, coordinating undergraduate and postgraduate programs in Mathematical Sciences. He has mentored over 13 doctoral students and actively bridges academia-industry collaboration through leadership roles in MISG and the ATN IDTC. His work emphasizes translating mathematical models into real-world solutions for energy, agriculture, and environmental sectors. Labs & Teams: He oversees interdisciplinary teams at QUT specializing in electrochemical systems, porous media modeling, and industrial mathematics. Current collaborations include projects with sugar cane industries, battery manufacturers, and coal seam gas operators to address challenges like biomass storage safety and energy storage optimization.

Tamás Molnárمشاهده پروفایل

استادیار

• Nonlinear Dynamics and Control
• Safety-Critical Control
• Time Delay Systems
• +۳ مورد دیگر

Dr. Tamás Molnár is an Assistant Professor of Mechanical Engineering at Wichita State University (since Fall 2023), leading the SANDy (Safe Autonomy & Nonlinear Dynamics) Lab. His expertise spans nonlinear dynamics and control, safety-critical systems, and time delay systems, with applications in connected automated vehicles, robotic systems, and autonomous systems. His research emphasizes ensuring safety while optimizing performance through theoretical analysis, simulations, and experiments. Dr. Molnár holds a Ph.D. (2018) and M.Sc. (2015) in Mechanical Engineering, and a B.Sc. (2013) in Mechatronics Engineering from Budapest University of Technology and Economics. He completed postdoctoral work at Caltech (2020–2023) and the University of Michigan, Ann Arbor (2018–2020). His lab focuses on advancing autonomy and safety in dynamic systems, including robotic inspection, autonomous vehicle coordination, and safe human-robot collaboration. Current advisees include PhD students Laszlo Gacsi (2024) and Shaibal Das (2025). Prospective students are encouraged to submit interest via a dedicated form. His work has been supported by initiatives like the Kansas NASA EPSCoR Partnership Development Grant, involving collaborations with NASA JPL. Key research themes include control barrier functions, traffic control via connected vehicles, and experimental validation of safety-critical systems.

Nadia Kianvashradمشاهده پروفایل

استادیار

• Computational Aerodynamics
• Hypersonic Flows
• Shock Wave Boundary Layer Interactions
• +۶ مورد دیگر

Nadia Kianvashrad is an Assistant Professor in the Department of Aerospace Engineering at an institution with the College of Engineering. Her research focuses on computational aerodynamics, hypersonic flows, shock wave interactions, and energy deposition for flow control. She holds senior membership in the American Institute of Aeronautics and Astronautics (AIAA) and contributes to the Fluid Dynamic Technical Committee. Her work emphasizes advanced simulation techniques like Large Eddy Simulation (LES) and Direct Numerical Simulation (DNS) to study high-speed flows, including hypersonic boundary layer interactions, non-equilibrium effects, and turbulence modeling. Recent studies explore laser energy discharge for flow control and the impact of thermal boundary conditions on flow dynamics. Key research trends include: (1) LES applications for supersonic and hypersonic regimes, (2) shock-shock and shock-boundary layer interactions in complex geometries, (3) non-equilibrium thermochemical effects in high-speed flows, and (4) computational methods for aerodynamic optimization and reduced-order modeling. No scientific awards are explicitly listed, though her AIAA involvement indicates professional recognition. Advising/grants information is not provided in the text. Her research aligns with aerospace engineering priorities in high-speed aerodynamics and computational fluid dynamics.

Richard Wiebeمشاهده پروفایل

دانشیار

• Nonlinear Structural Dynamics
• Aerospace Structures
• Civil Engineering
• +۴ مورد دیگر

Richard Wiebe is an Associate Professor in the Department of Civil & Environmental Engineering at the University of Washington. His research focuses on nonlinear structural dynamics of civil, mechanical, and aerospace structures, with applications in extreme environments such as seismic, blast, and high-speed aircraft scenarios. He holds a Ph.D. from Duke University (2012), an M.A.Sc. from the University of Waterloo (2009), and a B.Eng. from Lakehead University (2007), all in Civil Engineering. His research interests include buckling and stability of slender structures, composite materials, and marine energy systems. Current projects explore nonlinear dynamics of composite structures for hypersonic aircraft, bend-twist coupling in marine turbines, and post-tensioned rocking for earthquake-resistant designs. Wiebe has been recognized for his contributions, including promotion to Associate Professor in 2019 and leadership in interdisciplinary capstone projects with Boeing. His work bridges experimental and numerical methods to enhance structural efficiency and resilience.

Damiano Pasettoمشاهده پروفایل

دانشیار

• Numerical Analysis
• Computational Modeling
• Epidemiological Modeling
• +۲ مورد دیگر

Damiano Pasetto is Associate Professor in Numerical Analysis at Ca' Foscari University of Venice, affiliated with the Department of Environmental Sciences, Informatics and Statistics. His office is located in the Alfa building of the Via Torino scientific campus. Pasetto's research develops computational methods for environmental and epidemiological systems. Core focuses include reduced-order modeling techniques applied to groundwater flow simulations and physics-informed neural networks for epidemiological forecasting. Recent publications demonstrate strong emphasis on epidemic modeling (40%), hydrological systems (33%), and computational method development (27%). COVID-19 spatial dynamics and cholera transmission mechanisms represent significant thematic clusters. He leads EPIDOC project (2021-2025) on data assimilation and optimal control for COVID-19 forecasting in Italy. Additional research includes Bayesian parameter estimation for hydrological transport models. Office hours: Tuesdays 14:00-15:00 in Alfa 314 or by appointment.