جست‌وجوی استاد و پژوهشگر

Michael C. Constantinouمشاهده پروفایل

استاد

• Seismic Protective Systems
• Structural Engineering
• Earthquake Engineering
• +۳ مورد دیگر

Michael C. Constantinou is the Samuel P. Capen Professor and SUNY Distinguished Professor in the Department of Civil, Structural and Environmental Engineering at the University at Buffalo, SUNY. His research focuses on seismic protective systems for buildings, bridges, and infrastructure, with an emphasis on seismic isolation technologies and structural resilience. He holds a PhD in Civil Engineering from Rensselaer Polytechnic Institute (1984), an MS from the same institution (1981), and a BE from the University of Patras, Greece (1980). His work integrates experimental testing, computational modeling, and standards development to enhance structural safety under extreme seismic events. Dr. Constantinou’s research spans seismic isolation systems for critical infrastructure (e.g., nuclear facilities, power transformers), adaptive negative stiffness devices, and the effects of frictional heating in isolation bearings. His studies often combine shake-table experiments with advanced numerical simulations to validate performance under realistic seismic conditions. His contributions include developing performance-based testing protocols for seismic isolators and assessing rotational ground motion effects on structural response. He has authored numerous peer-reviewed articles on seismic isolation, energy dissipation, and structural dynamics. Dr. Constantinou is a recipient of the SUNY Distinguished Professorship, reflecting his impactful research and leadership in earthquake engineering. His work directly informs codes and standards for resilient infrastructure design.

Fernando Harindaمشاهده پروفایل

استاد

• Fluid Mechanics
• Environmental Fluid Dynamics
• Turbulence
• +۵ مورد دیگر

Fernando Harinda is the Wayne and Diana Murdy Professor of Civil Engineering and Geological Sciences at the University of Notre Dame's College of Engineering. Previously, he held professorial roles at Arizona State University (1984–2010), including Director of the Center for Environmental Fluid Dynamics (1994–2009). His research focuses on fluid mechanics, urban air pollution, and sustainability engineering. He earned his PhD in Fluid Mechanics from Johns Hopkins University (1983). Key Positions: Wayne and Diana Murdy Professor, Notre Dame (2010–present) Professor & Director, Center for Environmental Fluid Dynamics, ASU (1994–2009) Postdoctoral Fellowships at Johns Hopkins University and California Institute of Technology (1983) Research Highlights: Specializes in turbulence in stratified flows, double-diffusive phenomena, and urban environmental dynamics. Active in interdisciplinary projects linking fluid mechanics to sustainability and air quality. Awards & Recognition: UNESCO Gold Medal (1979) Fellowships: American Society of Mechanical Engineers (2002), American Physical Society (2004) Doctor Honoris Causa from Université Joseph Fourier (2014) and University of Dundee (2016)

Xinjun Cuiمشاهده پروفایل

دانشیار

• Granular Flows
• Aerodynamics
• Rotating Flows
• +۷ مورد دیگر

Dr. Xinjun Cui is an Associate Professor in Engineering at Teesside University's School of Engineering, Computing and Digital Technologies. He serves as Academic Lead for Higher and Degree Apprenticeships Programmes in Engineering. His career spans institutions including the University of Manchester, University of Nottingham, University of Wales Newport, and Sheffield Hallam University. PhD in Numerical Simulation of Navier-Stokes Equations (University of Manchester, 2002) External Examiner roles at 5 universities until 2026 His research focuses on granular flows, rotating flows, and multiphase flow modeling, with recent extensions to EV battery recycling, digital engineering, and AI applications. Key contributions include granular shock theory and unified approaches for industrial particle flow simulation. Selected article trends show expertise in: Granular flow dynamics (50% of publications) EV battery recycling systems (30% of recent work) Multiphase flow modeling (20% of output) Machine learning applications in engineering (15% of latest projects) Scientific Recognition: Royal Society Short Industry Fellow Collaborator on £5m Research England project (2022-2026) £2.1m Innovate UK project (2018-2021) with award recognition Dr. Cui has supervised PhD students through funded projects and maintains active reviewer roles for 20+ journals. His lab work at NCEFE focuses on industrial particle flow modeling and sustainable manufacturing technologies.

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.

Tuyen Nguyenمشاهده پروفایل

مدرس

• Heat Transfer
• Fluid Dynamics
• Computational Fluid Dynamics (CFD)
• +۴ مورد دیگر

Dr. Tuyen Nguyen is a Lecturer in the School of Engineering at the University of Newcastle. His expertise lies in heat transfer, fluid dynamics, and metallurgical processes, with a focus on low-emission steelmaking and ironmaking technologies. He holds a PhD from the University of Newcastle, a Master’s from Ritsumeikan University (Japan), and a Bachelor’s from Da Nang University of Technology (Vietnam). Research interests include computational fluid dynamics (CFD), iron ore sintering, and sustainable metallurgical practices. He has contributed to projects improving blast furnace efficiency and hydrogen-based reduction processes. His work integrates experimental methods, numerical modeling, and collaboration with industry partners. Teaching responsibilities span undergraduate and postgraduate courses in Heat Transfer and Fluid Mechanics. He has authored over 28 publications, including studies on sinter analogues, phosphorus recovery from slag, and hydrogen’s role in ironmaking. Grants include a $1.2M ARC Linkage Infrastructure grant for extreme environment testing and a BHP-funded project on steel slag utilization. He supervises five PhD/Masters students in areas like electric smelting furnaces and phosphorus recovery. Affiliated with the Centre for Ironmaking Materials Research, he collaborates on low-emission steel production and material science innovations.

Patrick D. Andersonمشاهده پروفایل

استاد

• Polymer Processing
• Interfacial Phenomena
• Additive Manufacturing
• +۳ مورد دیگر

Patrick D. Anderson is a full Professor and Dean of the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e). His research focuses on structure and rheology of complex fluids, with expertise in polymer processing, interfacial phenomena, and additive manufacturing. He has led projects on computational methods for flow analysis and interface behavior, contributing to fields like microfluidics and polymer blend modeling. Anderson holds editorial roles in journals like Macromolecular Materials Engineering and chairs the Dutch Society of Rheology. Education: PhD in Mechanical Engineering (TU/e, 1999), MSc in Applied Mathematics (TU/e). Professional experience includes roles at Océ Technologies and visiting professorships at UCSB, Stanford, and ETHZ. Research Interests: Development of predictive models for polymer processing, interfacial rheology, and additive manufacturing. Key topics include structure formation during flow, computational methods for multiphase systems, and EMI shielding materials. Article Trends: Recent work emphasizes EMI shielding via polymer nanocomposites, PLA crystal formation under shear, and fiber orientation in polymer composites. Articles bridge computational modeling with experimental validation in rheology and materials science. Awards: Repeated Best Teacher awards (2006, 2013, 2019, 2021) and the 2017 Walters Prize (2018) for fluid mechanics contributions. Grants & Partnerships: Collaborations with industry partners like DSM, BASF, and Philips. Currently leads projects on EMBOlization materials and rheology modeling funded through the National Growth Fund. Labs/Tech: Active in soft materials processing and 3D printing research, with facilities for in-situ X-ray imaging and rheological testing.

Peter D. Minevمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Analysis
• Fluid-Structure Interaction
• +۴ مورد دیگر

Peter D. Minev is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, Canada. His research specializes in computational fluid dynamics, numerical methods for partial differential equations (PDEs), and large-scale simulations for scientific and engineering problems. He develops advanced algorithms for incompressible Navier-Stokes equations, fluid-structure interaction, multiphase flows, and magnetohydrodynamics (MHD). Education: MSc and PhD from Sofia University, Bulgaria. Research Focus: Minev's work spans: High-order time-stepping schemes and splitting methods for complex PDEs Fictitious domain approaches for fluid-structure interaction Parallel algorithms for supercomputing applications Modeling of multiphysics phenomena (e.g., porous media flows, phase-field equations) He has created benchmark results for 3D lid-driven cavity flows and simulations of particle sedimentation/bubble dynamics. Publications: His recent articles (2014–2021) focus on: Efficient splitting schemes for stress/vorticity formulations High-order adaptive time integration Algorithms for spherical/heterogeneous geometries Applications in fuel cells, geophysics, and biomechanics A consistent theme is minimizing computational complexity while maintaining accuracy.

• Computational Fluid Dynamics
• Multiphase Flow
• Nuclear Engineering
• +۳ مورد دیگر

Dr. Yixiang Liao is a researcher in the Computational Fluid Dynamics (CFD) department at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR) . His work focuses on advanced numerical modeling of multiphase flows, particularly in nuclear engineering and thermal-hydraulics contexts. Key areas include bubble dynamics, two-phase flow regimes, turbulence modeling, and phase change phenomena. He has contributed extensively to CFD applications in reactor safety, flashing flows, and industrial systems. His research integrates experimental validation with computational methods, addressing challenges in modeling bubble-induced turbulence, surfactant effects, and complex flow behaviors in confined geometries. He has published widely on topics like pool scrubbing, nozzle dynamics, and vane-type separators, leveraging hybrid models and population balance approaches. Dr. Liao's work spans both fundamental and applied aspects, with outputs informing reactor design, safety analysis, and process optimization. His studies often emphasize closure model development for RANS-based simulations and the validation of Eulerian-Eulerian frameworks.

Oliver Anwar Boolakeeمشاهده پروفایل

پژوهشگر

• Computational Mechanics
• Solid Mechanics
• Lattice Boltzmann Methods
• +۳ مورد دیگر

Oliver Anwar Boolakee is affiliated with ETH Zürich as part of the Professur für Numerische Mechanik (Chair of Numerical Mechanics). His research focuses on computational mechanics, particularly lattice Boltzmann methods applied to solid mechanics, boundary condition modeling, and elastodynamic simulations. He holds a Master's degree in Mechanical Engineering from TU Munich (2017-2019) and a Bachelor's degree from AKAD Stuttgart (2014-2017). Professional experience includes roles at ETH Zürich (2020-present), Empa (2020), and ARRK (2017-2018). His work bridges numerical methods for solid and fluid mechanics, with recent contributions to boundary condition implementations in lattice Boltzmann schemes and acoustic emission modeling for multicopters. Research interests emphasize innovative numerical approaches for complex mechanical systems, including linear elastodynamics, arbitrary domain simulations, and viscoelastic flow dynamics. His publications reflect advancements in both solid mechanics and fluid dynamics, demonstrating interdisciplinary application of computational methods.

• Reservoir Engineering
• Carbon Capture and Storage
• Pore-Scale Flow Modeling
• +۳ مورد دیگر

Rumbidzai Nhunduru is a Research Associate at the Institute of Mechanical, Process & Energy Engineering within Heriot-Watt University's School of Engineering & Physical Sciences, United Kingdom. Her research focuses on experimental and computational analysis of fluid flow in porous media with direct applications to carbon sequestration and enhanced oil recovery operations. Her core expertise spans pore-scale modeling of multiphase flow systems, specializing in fluid displacement mechanisms, wettability effects, and residual trapping phenomena. She employs advanced micromodel experiments and direct numerical simulations to investigate ganglion dynamics, surface roughness impacts, and transport kinetics in geological formations relevant to subsurface energy storage. Analysis of her publications reveals a cohesive research trajectory bridging microscopic flow observations with macroscopic reservoir behavior. Key contributions include quantifying wettability's role in dynamic fluid connectivity and elucidating surface roughness effects on residual trapping—critical insights for optimizing CO2 storage in saline aquifers and improving reservoir simulation accuracy. Dr. Nhunduru collaborates extensively with an international team led by Professor Mercedes Maroto-Valer, contributing to laser-manufactured microfluidic device development and pore-scale visualization techniques. Her work supports next-generation modeling for subsurface energy applications, with recent datasets on wettability impacts and fluid displacement kinetics publicly archived through Heriot-Watt University.

• Thermal Engineering
• Energy Storage Systems
• Phase Change Materials
• +۳ مورد دیگر

Zengxu GUO is a researcher affiliated with Université de Technologie de Troyes (UTT), holding a Doctorate. His research focuses on thermal energy storage systems, phase change materials (PCMs), and operations research with particular emphasis on inventory optimization. Key areas of expertise include enhancing thermal performance through metal foam integration, analyzing inclination effects on heat transfer, and modeling inventory systems for omnichannel environments. His work bridges experimental and computational methods, with notable contributions to understanding PCM behavior in porous media and optimizing inventory policies under dual demand classes. Recent studies (2021-2024) explore thermal tank design, aspect ratio impacts, and cost evaluation frameworks for inventory models. Publications highlight interdisciplinary approaches combining materials science with thermal engineering and supply chain optimization, demonstrating strong methodological rigor through experimental validation and numerical simulations.

Graeme Whiteمشاهده پروفایل

استاد

• Fluid Dynamics
• Multiphase Flow
• Computational Fluid Dynamics (CFD)
• +۳ مورد دیگر

Graeme White is a Professor at the School of Engineering & Physical Sciences, Heriot-Watt University, and a professorial fellow within the Institute of Mechanical, Process & Energy Engineering. His research focuses on fluid dynamics, multiphase flow modeling, and their applications in offshore engineering and pharmaceutical crystallization. He has led roles such as Head of Teaching and Academic Head of Department, and currently heads the Multiphase Research Group. His work addresses critical industrial challenges, including optimizing offshore floating production systems (e.g., gas/oil/water separation on moving platforms) and improving CFD models for pharmaceutical crystallization. Collaborations with industry and EPSRC-funded projects underscore his translational research. Key facilities include oscillating column labs simulating platform motion and Large Eddy Simulation modeling for industrial-scale systems. Recent research trends reflect his dual focus on offshore gas processing (e.g., acid gas removal on FLNG units) and crystallization dynamics. His contributions span over 40 publications, emphasizing fluid mechanics and sustainability-aligned energy systems. Expertise: Computational Fluid Dynamics (CFD), Multiphase Systems, Offshore Engineering Industry Collaboration: Oil & Gas, Pharmaceutical sectors Key Projects: EPSRC-Industry crystallization models, FLNG acid gas removal

Jan Huissoonمشاهده پروفایل

استاد

• Mechatronics Engineering
• Robotics
• Autonomous Vehicle Control
• +۴ مورد دیگر

Jan Huissoon is a Professor in the Mechanical and Mechatronics Engineering Department at the University of Waterloo, where he previously served as Chair (2013–2020) and founded Canada's first Mechatronics Engineering program. He holds a Ph.D. and Bachelor's in Engineering Science from Trinity College, Dublin. His research focuses on mechatronic design, sensor-based robotics, autonomous vehicles, and microfluidic control, with notable contributions to robotic welding and intelligent transportation systems. Education: 1983: Doctorate in Mechanical Engineering, Trinity College Dublin 1979: Bachelor of Engineering Science, Trinity College Dublin Research Interests: Autonomous vehicle navigation using neural networks Sensor-based control for high-speed robotic welding Microfluidic device development and fluid dynamics Assistive robotics and human motion modeling Intelligent sensing systems (ultrasonic/vision-based) Industrial Experience: Consultant for Paradigm Products Inc. (2005–2007) Expert witness for patent infringement cases (2005–2007) Contract work in mechatronic and machine design (2005–2007) Labs/Teams: While no specific lab names are listed, his work involves collaboration with interdisciplinary teams focusing on robotics, microfluidics, and autonomous systems. He has developed open-source hardware like the µPump for microfluidic applications. Grants/Advising: Currently not accepting graduate students but holds Sole-Supervisory Privilege Status (SSPS). His research has produced over 100 publications and multiple patents, including foundational work in robotic calibration and welding automation.

Serhiy Yarusevychمشاهده پروفایل

استاد

• Fluid Mechanics
• Aerodynamics
• Turbulence
• +۵ مورد دیگر

Serhiy Yarusevych is a Professor and Professional Engineer (PEng) at the University of Waterloo's Department of Mechanical and Mechatronics Engineering, affiliated with the Fluid Mechanics Research Laboratory. His research focuses on fluid mechanics, aerodynamics, turbulence, and vortex dynamics, with a particular emphasis on laminar separation bubbles, boundary layer transition, and flow control mechanisms. He investigates phenomena such as droplet dynamics, vortex-induced vibrations, and aerosol dispersion, applying experimental techniques like particle image velocimetry (PIV) and temperature-sensitive paint analysis. Recent work includes studies on transient flow dynamics, free-stream turbulence effects, and mask efficacy for aerosol control. His contributions span both fundamental fluid mechanics and applied engineering challenges in aerodynamics and multiphase systems. Yarusevych's research often integrates experimental data with computational models to advance understanding of complex flow behaviors.

• Computational Fluid Dynamics
• Microfluidics
• Lattice Boltzmann Methods
• +۲ مورد دیگر

Professor Emilie Sauret holds an ARC Future Fellowship at QUT's School of Mechanical, Medical & Process Engineering. With a PhD in Turbulence Modelling from Sorbonne University, she develops computational methods for complex fluid systems. Research focus areas: Physics-informed neural networks for microfluidics Electrohydrodynamic control of fluid interfaces Biomedical applications of computational fluid dynamics Publications showcase interdisciplinary approaches to fluid dynamics, with recent advances in predictive modelling of lung deposition and microfluidic device optimization. Her work bridges fundamental physics with energy and biomedical applications. Leadership roles include council membership in the Australasian Fluid Mechanics Society. She has secured $8M in research funding and collaborates with MIT, NASA JPL, and industry partners.