جست‌وجوی استاد و پژوهشگر

Amirreza Khodadadianمشاهده پروفایل

مدرس

• Uncertainty Quantification
• Numerical Analysis
• Computational Mechanics
• +۷ مورد دیگر

Dr. Amirreza Khodadadian is a Lecturer in Mathematics at the School of Computer Science and Mathematics, Keele University, since August 2023. He holds a Ph.D. from the University of Vienna (2017), followed by postdoctoral positions at the Technical University of Vienna and Leibniz University Hannover. His research focuses on uncertainty quantification, numerical methods for stochastic PDEs, finite element methods, computational mechanics, and machine learning applications in nanoelectronics and biological systems. Key research interests include Bayesian inversion, multiscale modeling, reduced-order methods, and the design of nanoscale sensors. He has collaborated with institutions like the University of Oxford and secured an Austrian Science Fund (FWF) grant (476k€) for nanozyme sensor research. Dr. Khodadadian mentors postdoctoral researchers, including Dr. Samaneh Mirsian, and actively publishes in top-tier journals such as Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering . His work bridges applied mathematics with engineering challenges, emphasizing efficient numerical algorithms for real-world problems like battery degradation, groundwater contamination, and biomedical sensor optimization. Recent projects involve machine learning integration for enhanced predictive modeling. Education: Ph.D. in Mathematics, University of Vienna, Austria (2017) Postdoctoral Fellowships: TU Vienna (2018), Leibniz University Hannover (2018–2022) Grants/Awards: Austrian Science Fund (FWF) Grant: Single Atom Catalysts as Nanozymes in FET Sensors (2023) Advising: Postdoctoral Mentor: Dr. Samaneh Mirsian (Keele University) Dr. Khodadadian’s publications span computational mechanics, stochastic modeling, and interdisciplinary applications, reflecting his expertise in translating mathematical theory into practical engineering solutions.

• Constitutive Modelling of Engineering Materials
• Computational Solid Mechanics
• Micromechanics of Failure
• +۴ مورد دیگر

Dr Giang Nguyen is an Associate Professor at the School of Architecture and Civil Engineering, University of Adelaide. Their research focuses on constitutive modeling of engineering materials, computational solid mechanics, and micromechanics of failure. Nguyen's work bridges theoretical, experimental, and numerical approaches to understand material behavior across scales, particularly in soils, rocks, and cement-based materials. Their contributions include advancements in smoothed particle hydrodynamics (SPH) for modeling geomechanical processes and fracture mechanics. Research interests emphasize: Constitutive modeling under multi-axial loading conditions Failure mechanisms in quasi-brittle materials Hydro-mechanical coupling in partially saturated soils 3D printing applications in construction materials Large deformation analysis using SPH Publications span topics like earthquake-induced liquefaction, backward erosion pipelines, and energy-based fracture criteria. Nguyen has developed novel testing methods (e.g., AUSBIT) to capture snapback behavior in indirect tensile testing. Their work integrates experimental validation with advanced computational frameworks.

Edward Richardsonمشاهده پروفایل

استاد

• Thermal Energy Systems
• Turbulent Combustion Modeling
• Alternative Fuels Research
• +۳ مورد دیگر

Professor Edward Richardson is a leading expert in Applied Thermodynamics at the University of Southampton. He directs the EPSRC Centre for Doctoral Training in Next Generation Computational Modelling and leads research into high-fidelity computational modeling of thermal and fluid processes for propulsion and energy systems. PhD in Mechanical Engineering from Cambridge University (2007) Postdoctoral research at Sandia National Laboratories (2007-2010) Marie Curie Early Stage Research Training at CERFACS (2007) His research focuses on thermal energy systems for power and propulsion, turbulent combustion simulation , and alternative fuel safety . Key areas include hydrogen fast-filling dynamics, computational modeling of reacting flows, and combustion noise analysis. Current projects address ultra-low-emission combustion technology and boil-off gas prediction for LNG/LH2 ships. Recent publications show trends in hydrogen propulsion , turbulent combustion , and CFD methodology applied to aerospace, maritime, and automotive sectors. His work combines supercomputing data with practical design optimization. EPSRC Career Acceleration Fellowship (2010) Hinshelwood Prize (2014) Best Science Visualization Video (2009) Richardson supervises PhD students and teaches Propulsion and Aircraft Propulsion modules. His research has been funded by EPSRC, the European Union, US Department of Energy, and industry partners.

Dirk Peschkaمشاهده پروفایل

پژوهشگر

• Partial Differential Equations
• Fluid Dynamics
• Materials Science
• +۷ مورد دیگر

Dr. Dirk Peschka is a researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany, where he contributes to the Partial Differential Equations Research Group (FG1) . He is affiliated with the Berlin Mathematics Research Center MATH+ , the Society for Applied Mathematics and Mechanics (GAMM) , and the German Physical Society (DPG) . Research Interests Mathematical modeling of fluid dynamics and materials science using partial differential equations (PDEs). Applications in thin film dynamics, semiconductor devices, and reactive multiphase flows. Development of gradient flow frameworks and thermomechanical models via GENERIC formalism. Analysis of contact line behavior, dewetting processes, and fluid-structure interaction. Numerical methods for semiconductor simulations and geoscience applications. Publications Trends His recent work (2022–2025) emphasizes energy-based modeling of thin films, reactive flows, and semiconductor degradation. Key themes include contact line dynamics, gradient flows, and multiscale analysis of materials and fluid systems. Memberships Weierstrass Institute for Applied Analysis and Stochastics (WIAS) Berlin Mathematics Research Center MATH+ Society for Applied Mathematics and Mechanics (GAMM) German Physical Society (DPG)

• Techno-Economic Analysis
• Life-Cycle Cost
• Cost-Benefit Analysis
• +۳ مورد دیگر

T M Indra Mahlia , a Distinguished Professor at the School of Civil and Environmental Engineering , University of Technology Sydney (UTS), leads cutting-edge research in sustainable energy systems and environmental engineering. As a core member of the Centre for Technology in Water and Wastewater and the Centre for Advanced Modelling and Geospatial Information Systems , he bridges engineering innovation with practical climate solutions. PhD from University of Malaya (Kuala Lumpur, Malaysia) Fluency in English, Indonesian, Malay, and Achinese for peer review His research spans Techno-Economic Analysis , Circular Economy , and Water-Energy Nexus challenges, supported by over $5 million in grants. His work focuses on: Hydrogen energy systems optimization Advanced materials for energy storage Low-cost water purification technologies Sustainable biodiesel production Thermal management innovations As a Highly Cited Researcher (Clarivate Analytics, 2017-2022) and The Australian 's 2019/2025 Sustainable Energy Leader , he mentors future researchers - notably guiding two Highly Cited PhD students ( H.C. Ong and A.S. Silitonga ). His publications across 2024-2026 demonstrate technical advancements in: Hydrogen carrier systems Microalgae-derived lubricants High-entropy alloy corrosion resistance Artificial neural network optimization Phase change material thermal sinks Biohydrogen production pathways

• Electric Vehicle Engineering
• Battery System Design
• Autonomous Vehicle Optimization
• +۵ مورد دیگر

Jelena Andric is an Associate Professor in the Vehicle Engineering and Autonomous Systems department at Chalmers University of Technology, working within the Mechanics and Maritime Sciences school. Her research spans multiple aspects of vehicle engineering with a particular focus on electric and autonomous vehicle technologies. Her research interests primarily center around electric vehicle engineering, battery system design, autonomous vehicle optimization, thermal management systems, computational fluid dynamics, reinforcement learning applications, and hardware-in-the-loop simulation. She has developed expertise in applying advanced computational methods to solve complex vehicle engineering problems, particularly in the areas of battery management and energy optimization. Analysis of her recent publications reveals a strong trend toward optimizing electric vehicle performance, particularly focusing on battery degradation mitigation, thermal management, and energy efficiency. Her work increasingly incorporates artificial intelligence techniques, especially reinforcement learning, to develop sophisticated optimization approaches for electric trucks and autonomous vehicles. The research spans from fundamental fluid dynamics studies to applied engineering solutions for real-world transportation challenges. Dr. Andric has been actively involved in numerous research projects funded by organizations including VINNOVA, the Swedish Energy Agency, CHAIR, and ÅForsk. These projects cover diverse areas such as battery aging prediction, vehicle management strategies for electrified vehicles, electric public transit systems, and virtual engine calibration. Her current research portfolio includes leadership in projects related to simulation-based evaluation of connected vehicles, battery aging prediction for electric autonomous vehicles, AI-cloud-based vehicle management strategies, and transition to electric public transit systems. These projects demonstrate her commitment to addressing critical challenges in sustainable transportation through advanced engineering solutions.

• Mechanical Engineering
• Artificial Intelligence
• Tribology
• +۳ مورد دیگر

Hassan Shirvani is a Professor of Engineering Design and Simulation at the School of Engineering and the Built Environment, Anglia Ruskin University. He serves as Director of the Engineering Analysis Simulation and Tribology (EAST) Research Group, focusing on industry collaborations to solve engineering challenges. PhD in Mechanical Engineering, University of Bath MSc in Mechanical Engineering, University of Birmingham Member, Institute of Mechanical Engineers (IMechE) His research spans mechanical engineering, artificial intelligence, and biomedical applications, including: Thermal system optimization Machine learning in clinical decision-making Composite metal foil manufacturing Virtual reality medical training systems Flow dynamics in heat exchangers and nozzles AI-assisted diagnostics Hybrid manufacturing processes Hassan's publications reflect expertise in computational modeling, multi-physics simulations, and industrial applications. Notable areas include deep learning for suicide prediction, thermodynamic analysis of sustainable energy systems, and tribology in mechanical components.

Julien FAVIERمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Fluid-Structure Interaction
• Lattice Boltzmann Method
• +۳ مورد دیگر

Julien FAVIER is a Professor at Aix-Marseille Université, where he directs the M2P2 laboratory and coordinates the H2020 FALCON project on fluid-structure interaction in aeronautics. He also serves as an associate editor for Computers and Fluids . Research Focus: Fluid-structure interaction (FSI), Lattice Boltzmann Method (LBM), Immersed Boundary Method (IBM), turbulent and compressible flows Applications: Biomedical (aortic valves, mucus transport), aerospace (hypersonic flows), and mechanical systems (rupture/fragmentation) Scientific Contributions include: Developing stable explicit FSI solvers for LBM-IBM coupling Modeling metachronal wave dynamics in cilia arrays Advancing compressible LBM with rotating overset grids Studying drag reduction via flexible filament coatings Pioneering non-Newtonian fluid transport simulations Technical Expertise spans: Multi-grid and dual-time stepping techniques GPU acceleration for heterogeneous architectures Viscoelastic and Herschel-Bulkley flow modeling Validation of immersed boundary methods for turbulent flows

• Mechanics of Materials
• Impact Engineering
• Multi-Scale Modelling and Characterisation
• +۷ مورد دیگر

Professor Luming Shen is a distinguished academic in the School of Civil Engineering at The University of Sydney. With over two decades of experience in mechanical behavior of materials research, he leads cutting-edge investigations at the intersection of civil engineering, materials science, and computational mechanics. His work spans multiple scales from nano to macro, focusing on fundamental understanding that can be applied to real-world engineering challenges in water purification, structural safety, and sustainable infrastructure. Professor Shen's educational background includes: Bachelor's degree in Building Engineering from Tongji University, China Master's degree in Structural Engineering from Tongji University, China PhD in Civil Engineering from the University of Missouri-Columbia, USA Professor Shen's research focuses on the mechanics and behaviors of materials across multiple scales. His primary interest lies in understanding both brittle materials (concrete, rock, glass) and ductile materials (aluminum, titanium, metals). Two major thrusts of his work include nano-mechanics and materials research, particularly developing carbon nanotube membranes for water purification, and studying novel composite materials under impact and extreme loading conditions for applications in blast-resistant structures and vehicle safety. He employs high-performance computing for molecular and macro-level analyses, complemented by physical laboratory testing. Professor Shen's extensive publication record demonstrates a consistent focus on multiscale modeling of materials behavior, with recent work emphasizing granular materials dynamics, carbon nanotube applications, 3D-printed concrete technology, and energy storage systems. His research shows a clear evolution toward increasingly complex multiphysics problems that integrate mechanical, thermal, and fluid dynamics phenomena at multiple scales. The interdisciplinary nature of his work bridges civil engineering, materials science, computational mechanics, and environmental engineering, with applications spanning from fundamental material science to practical civil infrastructure solutions. Professor Shen actively supervises multiple research students, including Yifang Cao working on 3D printing concrete, Jiangshuai Meng studying granular materials under impact loads, and Runda Wang applying machine learning to rock burst prediction. His research is supported by access to advanced computational resources and laboratory facilities at The University of Sydney, particularly through his membership in The University of Sydney Nano Institute. The university has provided specialized space and equipment necessary for conducting physical tests on materials under high-speed impact conditions. Professor Shen maintains active laboratory facilities for conducting physical tests on materials under various loading conditions, particularly high-speed impact testing. His work is supported by computational resources for molecular dynamics and multiscale modeling. As a member of The University of Sydney Nano Institute, he collaborates with interdisciplinary researchers working at the nanoscale, particularly in applications related to water purification technologies using carbon nanotube membranes.

• Fluid Mechanics
• Acoustics
• Turbulence Modeling
• +۴ مورد دیگر

Denis Jeandel is a Researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA), University Claude Bernard Lyon 1, France. He specializes in turbulence modeling, flow instability analysis, and fluid dynamics. His work encompasses a wide range of applications, including electric arc dynamics, combustion chamber aerodynamics, and numerical methods for multiphysics problems. He is part of the Turbulence & Instabilities research team and contributes to advancements in computational fluid dynamics (CFD), finite element methods, and boundary layer studies. Research Interests: Turbulence Modeling and Simulation Electric Arc Behavior in Circuit Breakers Internal Aerodynamics of Combustion Chambers Thermal-Hydraulic Phenomena Lagrangian Stochastic Modeling for Atmospheric Dispersion Shock-Wave and Multiphase Flow Dynamics Publications Highlight Key Contributions: His work spans numerical methods for second-order turbulence closures, coupled electromagnetic-aerothermal simulations, and boundary layer stability analysis. Recent publications focus on improving accuracy in high-speed flow simulations and electric arc initiation modeling. Awards and Recognition: No specific awards mentioned in the provided texts, though his sustained research output indicates active recognition in the field. Lab and Team Involvement: He collaborates with the Turbulence & Instabilities team at LMFA to address complex fluid dynamics challenges, leveraging state-of-the-art experimental and numerical tools.

Tony LELIEVREمشاهده پروفایل

استاد

• Applied Mathematics
• Multiscale Modeling
• Molecular Simulation
• +۷ مورد دیگر

Tony Lelièvre is a Professor of Applied Mathematics at the Ecole Nationale des Ponts et Chaussées, part of the Institut Polytechnique de Paris. He holds a PhD (2004) and Habilitation (2009), specializing in multiscale modeling, molecular simulation, and stochastic processes. His research focuses on free energy computations, numerical analysis of complex fluids, and computational statistical physics. He co-authored two books and over 100 papers, receiving significant awards like the ERC Consolidator Grant (2013-2019) and the Grand prix Alcan. Lelièvre has organized numerous international workshops and serves on editorial boards of journals like ESAIM:M2AN and SIAM/ASA Journal of Uncertainty Quantification. His work bridges applied mathematics, numerical analysis, and computational science with applications in materials science and industrial fluid dynamics. Education: PhD in Applied Mathematics, 2004 Habilitation à Diriger des Recherches, 2009 Research Interests: Multiscale modeling of complex fluids Molecular dynamics and free energy calculations Stochastic methods for metastable systems Numerical analysis of PDEs and SDEs Computational statistical physics Recent Contributions: His work on adaptive biasing force methods and hybrid Monte Carlo techniques has advanced the simulation of rare events and free energy landscapes. He contributed to variance reduction techniques in molecular simulations and mathematical analysis of parallel replica algorithms. Awards: ERC Consolidator Grant (2013-2019), Prix CS 2002, Grand prix Alcan (2010), Ordway Visiting Professorship (2012-2013), and several teaching awards. Professional Activities: Organized major conferences like CEMRACS 2013 and IPAM Long Program on Energy Landscapes (2017). Co-edits journals and authored influential textbooks on magnetohydrodynamics and free energy computations.

• Geophysics
• Porous Media Dynamics
• Fracture Network Analysis
• +۴ مورد دیگر

Joachim Mathiesen is a Professor at the NJORD Center for the Study of Earth Physics within the Department of Physics, University of Oslo. His research spans geophysics, porous media dynamics, and nonlinear fluid systems. Key collaborations include Gaute Linga, Francois Renard, and Tanguy Le Borgne. His work focuses on fracture network analysis , turbulent flow in rough channels , and electrohydrodynamic phenomena . He investigates fluid-rock interactions, solute dispersion in multiphase systems, and stress-driven phase transformations. 2024-2023 : Deep-learning analysis of rock fractures, 4D neutron imaging of sandstone transport, chaotic signatures in porous media flows 2018-2020 : Wetting control with electrolytes, electrohydrodynamic channeling effects, dynamic fluid connectivity in porous media Mathiesen applies computational modeling to geological systems, including Martian araneiform formation, rock compaction, and communication networks. His numerical schemes address energy-stable simulations of complex fluid properties.

Sergio Galindo Torresمشاهده پروفایل

دانشیار مدعو

• Geotechnical Engineering
• Fluid Dynamics
• Computational Modeling
• +۵ مورد دیگر

Dr. Sergio Galindo Torres is an Adjunct Associate Professor at the School of Civil Engineering, University of Queensland (UQ). His research focuses on geotechnical engineering, fluid dynamics, and computational modeling of granular and porous media. He specializes in discrete element methods (DEM), lattice Boltzmann methods (LBM), and their coupling for simulating particle-fluid interactions. His work addresses transient two-phase flow, hydraulic fracturing, dispersion in porous media, and erosion mechanisms. His publications (45 journal articles, 31 conference papers, and technical reports) highlight his expertise in micromechanical analysis and numerical simulation of complex geological systems. Recent studies examine Péclet-number-dependent dispersion and airblast hazards in block caving. The 15 most recent articles reflect trends across computational geomechanics, with emphasis on: Fluid flow in static/dynamic porous media DEM-LBM coupling for granular-fluid systems Two-phase displacement under varying boundary conditions Airblast hazard simulation in mining Liquefaction micromechanics Capillary pressure-saturation dynamics Dr. Galindo Torres collaborates with researchers like Alexander Scheuermann and Ling Li, and his work appears in journals such as Water Resources Research , Physical Review , and Computers and Geotechnics . He does not list specific awards or advisees in this dataset.

Philip Yeckoمشاهده پروفایل

استاد

• Fluid Dynamics
• Magnetic Fluids
• Geophysical Fluid Dynamics
• +۵ مورد دیگر

Philip Yecko is Professor and Chair of the Physics Department at The Cooper Union for the Advancement of Science and Art, within the Albert Nerken School of Engineering. He holds a Ph.D. in Astronomy from Columbia University and an S.B. in Physics from MIT. His academic journey includes faculty positions at Montclair State University, Columbia University, and Trinity College Dublin. Columbia University: MA, MPhil & Ph.D. Astronomy (1995) Massachusetts Institute of Technology: S.B. Physics (1988) Jewish Theological Seminary: M.A. Rabbinic Literature & Culture (expected 2025) Professor Yecko's research spans fluid dynamics with focus on astrophysical, biological, geophysical, magnetic and multi-phase systems. His work examines flows of accretion disks, atomization and sprays, bubbles, droplets, ocean vortices, stellar convection, and magnetic drug delivery. His research methodology combines mathematical and theoretical approaches with computational modeling and laboratory experiments, including an ongoing program at Argonne National Lab's Advanced Photon Source. His recent publications reveal a strong focus on magnetic fluids and computational methods, with significant contributions to ferrofluid dynamics, multiphase flow simulation, and transport phenomena in complex systems. The research shows increasing integration of machine learning techniques with traditional fluid dynamics approaches, particularly in geophysical applications. Scientific recognition includes: Multiple invitations to the Woods Hole Oceanographic Institute's Geophysical Fluid Dynamics program Invited Scientist positions at the Aspen Center for Physics An H-index of 17 according to Google Scholar Professor Yecko actively mentors students through research projects and has supervised numerous master's theses in applied mathematics and mechanical engineering. His research is supported by multiple NSF grants including the Fluid-Structure Interactions for Control in Geophysical Flows project (NSF CMMI-2121923) and the 3D Multiphysics Simulation of Multi-phase Magnetic Fluids project (NSF DMS-1620158). He directs the Complex Fluid Physics and Engineering (CoFPhE) Lab, which provides experimental, computational and theoretical research opportunities for students at both graduate and undergraduate levels. The lab collaborates with researchers internationally, including institutions in Italy, France, and multiple U.S. universities.

Mark Kimberمشاهده پروفایل

دانشیار

• Experimental and computational thermal hydraulics
• Uncertainty quantification in isothermal and non-isothermal turbulent flows
• Two-phase heat transport
• +۳ مورد دیگر

Mark Kimber is an Associate Professor in the Department of Nuclear Engineering at Texas A&M University. He serves as Director of the Undergraduate Program and has a research focus on experimental and computational thermal hydraulics, uncertainty quantification in turbulent flows, and two-phase heat transport systems. Ph.D., Mechanical Engineering, Purdue University – 2008 M.S., Mechanical Engineering, Brigham Young University – 2004 B.S., Mechanical Engineering, Brigham Young University – 2002 His research interests include: Experimental and computational thermal hydraulics Uncertainty quantification in isothermal and non-isothermal turbulent flows Two-phase heat transport Turbulence modeling Heat transfer optimization Nuclear reactor design Recent publications focus on nuclear reactor thermal management systems, turbulence modeling validation, and advanced heat exchanger design. Key trends include: CFD analysis of nuclear components Multiphysics modeling Thermal safety systems Neutronics coupling Energy transition applications Validation protocols Scientific awards: Faculty Development Award, Nuclear Regulatory Commission – 2009-2011