جستجوی استاد راهنمای دانشگاهی

Yuri Leonenko is an Associate Professor at the University of Waterloo, with an office in EIT-2048 (ext. 32160) and email contact leonenko@uwaterloo.ca. His research centers on Climate Control technologies, particularly Carbon Capture and Storage (CCS). Key expertise includes modeling multiphase flow in porous media and fractures, CO 2 -reservoir fluid interactions, and novel in situ/ex situ CO 2 dissolution methods. His work integrates risk assessment and economic evaluation of CCS projects to advance sustainable climate solutions. Scientific Awards: No awards mentioned Advising and Grants: No student or grant information provided Labs and Teams: No laboratory or team affiliations specified

• Carbon Capture and Storage
• Multiphase Flow in Porous Media
• Numerical Simulation
• +۴ مورد دیگر

Mohammad Sedaghat is an Industry Fellow at the Gas and Energy Transition Research Centre at The University of Queensland. His research focuses on petroleum engineering, reservoir characterization, and energy transition technologies, with particular expertise in fluid flow mechanisms, carbon capture and storage, and enhanced resource recovery methods. Research Interests: Sedaghat's work spans geomechanics, reservoir simulation, and environmental sustainability in energy systems. Primary domains include: Fluid dynamics in fractured reservoirs and coal seams Hydraulic fracturing and permeability enhancement techniques CO₂ sequestration and injectivity modeling Wettability alteration and chemical flooding for oil recovery Mine methane emission mitigation strategies Publication Trends: Recent articles demonstrate a strong focus on numerical modeling of subsurface processes, with recurring themes in carbon storage optimization, unconventional resource recovery, and geomechanical influences on fluid flow. Computational studies frequently employ advanced simulation platforms to address challenges in energy transition and fossil fuel extraction. Collaborations: Actively collaborates on industry and research projects including the University of Queensland Surat Deep Aquifer Appraisal Project (UQ-SDAAP), investigating multiphase flow behavior and managed aquifer recharge systems.

• Petroleum Engineering
• Reservoir Simulation
• Enhanced Oil Recovery
• +۳ مورد دیگر

Jian-Guo Liu is a Professor of Mathematics and Physics at Duke University, with primary affiliations in the Departments of Mathematics and Physics. His research encompasses applied mathematics, partial differential equations, kinetic theory, computational fluid dynamics, and stochastic algorithms. Professor Liu's work bridges theoretical modeling and numerical methods, particularly in complex systems involving nonlinear dynamics, fluid behavior, and emergent phenomena. Research interests focus on multiscale modeling of physical systems, including stochastic processes in chemical reactions, fluid-structure interactions, and materials science. Recent publications demonstrate strong emphasis on mathematical foundations of biological and physical systems, with recurring themes in Fokker-Planck dynamics, mean-field games, tumor growth modeling, and computational methods for interfacial phenomena. Publications showcase consistent focus on analytical and numerical solutions to high-dimensional problems, with applications ranging from medical imaging to electrochemistry. The work exhibits advanced techniques in asymptotic analysis, stochastic approximations, and geometric evolution equations.

• Applied Mathematics
• Partial Differential Equations
• Kinetic Theory
• +۷ مورد دیگر

Stefan Adami is an Adjunct Professor at the Institute of Aerodynamics and Fluid Mechanics, Technical University of Munich (TUM), where he leads the 'Nanoshock' research group. He holds a Ph.D. in Mechanical Engineering from TUM and was awarded habilitation in 2022, followed by appointment as Privatdozent in 2023. His academic career at TUM includes roles as research associate, Akademischer Rat, and group leader. Research Interests: Compressible and multiphase flows Numerical modeling and simulation Smoothed Particle Hydrodynamics (SPH) High-speed aerodynamics and shock wave dynamics Applications in additive manufacturing and biomedical fluid mechanics His recent research employs advanced solvers like ALPACA for high-resolution simulations of bubble dynamics, shock interactions, and interfacial flows. He has contributed to modeling in laser-based 3D printing and cavitation-based drug delivery systems. Recent Publication Trends: His 2023–2025 publications emphasize compressible multiphase flows, high-order numerical schemes (WENO-THINC), and applications in materials processing and biomedical engineering. He frequently collaborates on solver development and benchmarking, including large-scale datasets for Riemann problems. Teaching: Lecturer for 'Numerical Methods for Conservation Laws' (Winter Semester) Lecturer for 'Turbulent Flows' (Summer Semester) Previously served as Teaching Assistant for Continuum Mechanics and Computational Solid and Fluid Dynamics Research Leadership: Leader of the 'Nanoshock' research group since 2015 Key contributor to the development of the ALPACA solver for compressible multiphase flows Active in interdisciplinary projects involving fluid-structure interaction and industrial applications

• Compressible Flows
• Numerical Modeling
• Smoothed Particle Hydrodynamics
• +۷ مورد دیگر

Dr. Rui Shi is an Adjunct Lecturer at the School of Civil Engineering, The University of Queensland. His research focuses on hydraulic engineering, particularly air-water flow properties in turbulent systems like hydraulic jumps, breaking bores, and stepped spillways. He employs both intrusive and non-intrusive measurement techniques to study multiphase flows and turbulence statistics. Education: PhD in Civil Engineering (2022), The University of Queensland. Shi's research spans experimental fluid dynamics, with publications analyzing bubble convection, void fraction, and dam-break wave boundary layers. His work often involves collaborations with Hubert Chanson and Davide Wüthrich, contributing to journals like International Journal of Multiphase Flow and Coastal Engineering . He has presented at conferences including the IAHR World Congress and Australasian Fluid Mechanics Conference. Shi's recent publications emphasize air-water flow measurement methodologies, turbulence dynamics in unsteady flows, and hydraulic structure optimization. His technical reports and peer-reviewed articles provide insights into stepped spillway performance, probe sensitivity, and prototype-scale hydraulic modeling. Email: r.shi@uq.edu.au

• Hydraulic Engineering
• Environmental Engineering
• Fluid Mechanics
• +۳ مورد دیگر

Dr. Yuchen Dai is a Postdoctoral Research Fellow at the School of Chemical Engineering, University of Queensland (UQ), with expertise in computational fluid dynamics (CFD), microfluidics, and non-linear dynamic systems. He previously worked at Griffith University and the Queensland Micro&Nanotechnology Centre (QMNC) until 2023. PhD in Mechanical Engineering (2021), University of Queensland His research spans heat & mass transfer, fluid mechanics, and analytical methods, focusing on microfluidic devices for biomedical applications. Recent publications highlight innovations in droplet generation, cell separation, and viscoelastic fluid behavior. Dr. Dai has authored 10 journal articles (2018–2025) and 1 conference paper, covering topics like microfluidic particle manipulation , double emulsion stability , and liquid marble mixing . He is currently available for supervision.

• Computational Fluid Dynamics
• Heat & Mass Transfer
• Fluid Mechanics
• +۲ مورد دیگر

Dr. Travis Mitchell is a Lecturer at the School of Mechanical and Mining Engineering , The University of Queensland , and an affiliate of the Centre for Multiscale Energy Systems . He holds a PhD in Multiphase Computational Fluid Dynamics and dual degrees in Mechanical Engineering (BE Hons) and Mathematics (BSc). Education: PhD in Multiphase Computational Fluid Dynamics, The University of Queensland BE (Hons) in Mechanical Engineering, The University of Queensland BSc in Mathematics, The University of Queensland Research Interests focus on numerical modeling of multiphase fluid dynamics in porous media , with applications spanning CO2 electrolysis , hydrogen production via methane pyrolysis , biomedical fluid-structure interaction , and geomechanical fracture analysis . His methodological expertise includes Lattice Boltzmann techniques and high-performance computing . Recent Work Trends encompass multiphase transport in fractured media , gas diffusion electrode optimization , fiber-based air filter design , and thermocapillary flow modeling , reflecting his interdisciplinary impact in energy, health, and resource engineering. Scientific Recognition includes the ICMMES-CSRC Award for multiphase lattice Boltzmann research and an EAIT Citation for Excellence in Student Learning (2023) . Teaching Portfolio includes coordination of MECH2700: Computational Engineering and Data Analysis and lectures in MECH3780: Computational Mechanics and MECH6480: Computational Fluid Dynamics .

• Computational fluid dynamics
• Lattice Boltzmann methods
• Multiphase fluid dynamics
• +۳ مورد دیگر

Marica Pelanti is an Assistant Professor at the Department of Mechanical Engineering (UME) of ENSTA Paris , part of the Institut Polytechnique de Paris . She works on Computational Fluid Dynamics and Multiphase Compressible Flows , focusing on numerical modeling of liquid-vapor flows with phase transfer processes, particularly cavitation for industrial applications. Doctorate in Applied Mathematics (2005, University of Washington) Master in Aerospace Engineering (1999, Politecnico di Milano) Her research employs Finite Volume Schemes and advanced Riemann solvers like HLLC and Roe for low Mach number preconditioning. She leads funded projects on multiphase flow modeling and has extensive publication records in journals like J. Comput. Phys. and Int. J. Multiphase Flow .

• Computational Fluid Dynamics
• Multiphase Compressible Flows
• Finite Volume Schemes
• +۴ مورد دیگر

Jun Chen serves as Professor and Associate Head for Facilities and Operations at Purdue University's School of Mechanical Engineering. His career spans experimental fluid dynamics research, academic leadership, and global engineering initiatives focused on sustainable energy solutions for underserved communities. Education: PhD in Mechanical Engineering, Johns Hopkins University (2005) MS in Aerospace Engineering, Beijing University of Aeronautics & Astronautics (1997) BS in Aerospace Engineering, Beijing University of Aeronautics & Astronautics (1994) Professor Chen's research centers on experimental fluid dynamics with emphasis on flow diagnostic techniques including digital holography, tomographic PIV, and interferometry. His work spans fundamental turbulence studies in stratified environments and applied energy systems for wind, hydrokinetic, and cardiovascular applications. Key innovation areas include multiphase flow measurement, low-Mach-number aeroacoustics, and wind energy conversion systems. His 15 most recent publications reveal consistent focus on advanced optical diagnostics for complex flows, with growing emphasis on renewable energy applications (wind/hydrokinetic systems) and biomedical fluid dynamics . The research demonstrates methodological evolution from fundamental turbulence characterization toward practical implementations in energy and healthcare. Scientific Awards: 2018 ASCE Sustainable Development Award for African grain storage system 2016 EPA P3 YCOSST Award for off-grid wind energy in Africa 2014 ASME Robert T. Knapp Award for holography uncertainty quantification 2005 Measurement Science Outstanding Paper Award for PIV peak-locking elimination Professor Chen actively mentors graduate students (16 theses supervised) and leads global engineering initiatives through Purdue's GEPP program, having conducted multiple field deployments in Cameroon for rural energy solutions. His research portfolio includes significant grants from NSF, DOE, and industry partners focused on fluid diagnostics and sustainable energy. His laboratory work integrates optical diagnostics with field-deployable energy systems , maintaining strong industry partnerships while advancing fundamental fluid mechanics knowledge. Current projects emphasize scalable solutions for resource-constrained environments through the Purdue Global Design Teams.

• Experimental fluid dynamics
• Flow diagnostic techniques development
• Stratified flow dynamics
• +۵ مورد دیگر

Chris Breward is a Professor at the Mathematical Institute, University of Oxford, and serves as Co-Director of the EPSRC Centre for Doctoral Training in Industrially Focused Mathematical Modelling (InFoMM CDT). His work bridges industrial problem-solving and bioscience applications through advanced mathematical techniques. His academic credentials include: MA MSc DPhil Professor Breward specializes in fluid mechanics with emphasis on surfactant behavior, tear film dynamics, and polymer-surfactant mixtures. His research develops asymptotic models for complex industrial and biological systems, focusing on stability analysis and reaction kinetics in multiphase flows. Current projects address ocular surface mechanics and industrial decontamination processes. Analysis of his publication record (2009-2025) reveals consistent application of fluid mechanics to porous media, surfactant solutions, and industrial material processing. Recent work (2023-2025) emphasizes contaminant transport in drying media and metallurgical processes, while earlier studies (2009-2011) established foundational models for tear films, micellar solutions, and liquid film stability. As InFoMM CDT Co-Director, Breward oversees doctoral training programs that connect academic research with industrial partners through EPSRC-funded projects. He actively mentors students in mathematical modelling for real-world applications. He contributes to the Oxford Centre for Industrial and Applied Mathematics (OCIAM), collaborating on industrially relevant mathematical challenges across multiple sectors.

• Fluid Mechanics
• Surfactants
• Mathematical Modelling
• +۴ مورد دیگر

Michael Vynnycky is an Affiliated Professor at KTH Royal Institute of Technology , specializing in mathematical modeling and numerical analysis of industrial metallurgical processes. His research focuses on continuous casting , electromagnetic stirring , and fluid-structure interactions in manufacturing systems. Key Research Areas: Continuous casting of metals, fluid dynamics, heat transfer, computational methods (FEM, CFD), inverse Stefan problems, and oscillation mark formation. Collaborations: Frequent collaboration with researchers like H. Fredriksson, B. Glaser, and A. Safavi Nick. Applications: Steel production, die casting, redox flow batteries, and polymer electrolyte fuel cells. Recent publications highlight work on blast furnace dynamics , muon radiography for structural analysis, and asymptotic modeling of gas-solid flows. His methodologies emphasize mathematical rigor and industrial relevance , as seen in studies on macrosegregation and electromagnetic flow control. Techniques: Leverages asymptotic analysis multiphysics simulation finite element methods computational fluid dynamics boundary reconstruction algorithms experimental validation to solve complex industrial problems. Email Contact: michaelv@kth.se

• Continuous Casting Processes
• Mathematical Modeling of Industrial Systems
• Fluid Dynamics
• +۳ مورد دیگر

Alexander Bußmann is a Researcher at the Chair of Aerodynamics and Fluid Mechanics at the Technical University of Munich . His work focuses on nanoshock phenomena and multiphase flow analysis , particularly through numerical simulations of cavitation dynamics and interface tracking. Research Highlights: Development of hybrid WENO5IS-THINC schemes for compressible multiphase flows Analysis of micro-jet formation via cavitation bubble interactions Investigation of particle deposition in thermal-spray gun nozzles Publications span topics in fluid mechanics, computational physics, and photonics, with a focus on cavitation dynamics, numerical methods, and multiphase flow modeling. Key collaborations include work with Stefan Adami and Nikolaus A. Adams .

• Nanoshock
• Multiphase Flow Analysis
• Cavitation Dynamics
• +۳ مورد دیگر

Professor Laura Torrente Murciano leads the Process Integration and Catalysis Group at the University of Cambridge's Department of Chemical Engineering and Biotechnology. Her research focuses on sustainable chemical processes, particularly integrating reaction and separation steps for green technologies. Reaction engineering with 3D-printed microdevices Nanoparticle synthesis for catalytic applications Ammonia production as a hydrogen vector Low-temperature activation of methane and CO2 Her work spans multiphasic systems, metallic membranes, and nanostructured materials like ceria and titanate. Recent publications highlight techno-economic analyses of green ammonia, dynamic energy integration, and catalytic process innovations. Key themes across her research include: Process optimization for renewable energy storage Development of sustainable hydrogen production methods Design of tuneable nanoparticle catalysts Structure-property relationships in catalytic supports Life cycle analysis of green technologies Photocatalytic and electrochemical material applications

• Reaction engineering
• Colloids
• Nanoparticles
• +۳ مورد دیگر

Yuan Chen is a researcher at the Institute of Science Tokyo , focusing on advanced measurement techniques for nuclear engineering and environmental applications. Their work integrates Laser-Induced Breakdown Spectroscopy (LIBS) and Ultrasonic Velocity Profiler (UVP) for remote elemental analysis and flow visualization. Primary focus on nuclear reactor inspection and soil analysis Collaborations with Hiroshige Kikura, Hideharu Takahashi, and international teams Developing robotic systems for hazardous environments Research Trends : Recent publications (2022-2025) emphasize: Remote sensing for nuclear fuel debris analysis LIBS-UVP hybrid systems for multiphase flow measurement Soil elemental analysis for smart agriculture Robotic arms equipped with advanced sensors Key techniques: Laser spectroscopy, ultrasonic imaging, flow visualization algorithms, sensor fusion. Applications span nuclear decommissioning (e.g., Fukushima) and environmental monitoring.

• Nuclear Engineering
• Measurement Techniques
• Non-Destructive Testing
• +۳ مورد دیگر

Professor Mathieu Lucquiaud serves as Professor of Clean Energy with Carbon Capture and Storage (CCS) in the Department of Mechanical Engineering at the University of Sheffield's School of Mechanical, Aerospace and Civil Engineering. He joined Sheffield in 2022 after 12 years at the University of Edinburgh, where he progressed from post-doctoral Research Associate (2010) to Royal Academy of Engineering Research Fellow (2012), Senior Lecturer (2016), and Reader (2019). His academic foundation includes a first degree in Energy and Environmental Engineering from INSA Lyon (2004) and a PhD in Mechanical Engineering from Imperial College London (2010). INSA Lyon: Energy and Environmental Engineering (2004) Imperial College London: PhD Mechanical Engineering (2010) Lucquiaud's research pioneers climate change mitigation technologies for zero-carbon societies, integrating techno-economic modeling , experimental validation , and pilot-scale demonstration at Sheffield's Translational Energy Research Centre. His work targets carbon capture, zero-carbon electricity/hydrogen production, and industrial decarbonisation through direct air capture, waste-to-energy integration, and solvent innovation. Recent projects include FOCUS (solvent storage for flexible capture) and NEWEST-CCUS (waste sector negative emissions). Analysis of his 15 most recent publications reveals three dominant trends: cost reduction pathways for zero-carbon hydrogen/electricity, waste-to-energy decarbonisation with carbon capture, and operational flexibility solutions for CCS integration. His work consistently bridges fundamental engineering with real-world deployment challenges across power, hydrogen, and waste sectors. Key recognition includes: Royal Academy of Engineering Research Fellowship (2012) He actively shapes CCS education through his globally influential MOOC (25,000+ participants from 150+ countries) and teaches Advanced Engineering Thermodynamic Cycles. His supervision spans final-year undergraduate projects, with research funded through industry partnerships and UKRI grants focused on CCS commercialisation. The Translational Energy Research Centre serves as his primary experimental hub for pilot-scale carbon capture validation.

• Carbon Capture and Storage
• Clean Energy Systems
• Zero Carbon Electricity
• +۳ مورد دیگر