جست‌وجوی استاد و پژوهشگر

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.

• Building Physics
• Hygrothermal Modeling
• Energy-Efficient Buildings
• +۵ مورد دیگر

Dr. Xiaohai Zhou is a Lecturer and Senior Scientist at ETH Zürich's Department of Mechanical and Process Engineering, specializing in building physics. He holds a doctoral degree from ETH Zürich (2015) and has postdoctoral experience at Empa (2015–2020). His research focuses on hygrothermal modeling of building materials, energy-efficient retrofitting, and climate change impacts on the built environment. He is an editorial board member of the Journal of Building Physics and a member of CIB Working Group W080. Key research interests include moisture transport in masonry, wind-driven rain analysis, and durability of construction materials. Notable contributions include developing the 'ITE index' framework for urban heat mitigation and investigating coupled vapor-heat transport in hygroscopic materials using neutron radiography. He received the Best Paper Award at CESBP2016 and leads projects like the SCCER FEEB&D initiative on historical building insulation. Publications span journals like Building and Environment and Renewable and Sustainable Energy Reviews , addressing urban heat solutions, CFD modeling of rain loads, and moisture buffering effects. His work integrates experimental and computational methods across scales from material to building level.

• 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.

Sicheng Kevin Liمشاهده پروفایل

استادیار

• Rotorcraft/Helicopter Aeromechanics
• Aerodynamics and Aeroacoustics
• Computational Fluid Dynamics (CFD)
• +۴ مورد دیگر

Sicheng Kevin Li is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Oklahoma State University . His research focuses on rotorcraft aeromechanics, aerodynamics and aeroacoustics, and advanced air mobility vehicle design. He holds a PhD from UC Davis (2022) and has received multiple awards including the Vincent Coffin Award (2022) and the Vertical Flight Foundation Scholarship (2021). Education: PhD, Aerospace Engineering, University of California, Davis (2022) BS/Mechanical Engineering & BS/Aerospace Engineering, UC Davis (2018) His work emphasizes bio-inspired noise reduction strategies and experimental validation through wind tunnel and free-flight testing. Recent publications focus on rotor broadband noise prediction for urban air mobility (UAM) and eVTOL vehicles using tools like UCD-QuietFly. Awards: Vertical Flight Society Acoustics Technical Committee Member (2023-present) N&M Sarigul-Klijn Fellowship (2021) Teaching includes courses on unsteady aerodynamics, aerospace design, and fluid mechanics laboratories. His Dr. Li's Lab focuses on advancing rotorcraft technologies with emphasis on acoustic efficiency and sustainable aviation innovations.

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

Jean-Pierre FRADINمشاهده پروفایل

پژوهشگر

• Thermal Management
• Power Electronics
• Electronics Cooling
• +۴ مورد دیگر

Jean-Pierre FRADIN is a Researcher Lecturer at ICAM, based in Toulouse, France. His work focuses on thermal management of electronic systems, particularly in power electronics and additive manufacturing applications. He collaborates with prestigious research laboratories globally to develop innovative cooling solutions for industries like rail transport and electric vehicles. His research explores topics such as thermal-adjoint optimization, 3D power module defect detection, and SiC MOSFET thermal behavior. He emphasizes applied research with strong industry ties, addressing challenges in energy efficiency, material science, and thermal simulation techniques. His contributions span both academic publications and practical applications in cooling system design. Notably, he investigates lattice structure heat sinks for liquid cooling, Monte Carlo methods for junction temperature estimation, and the impact of additive manufacturing on thermal performance. His work bridges computational modeling with experimental validation, ensuring practical relevance to industrial needs. While no awards are explicitly mentioned, his extensive publications reflect a prolific and impactful career in thermal management. His research also extends to collaborative projects with companies, enhancing engineering education and innovation at ICAM.

• Renewable Energy
• Chemical Engineering
• Environmental Science
• +۳ مورد دیگر

Maulidi Barasa is a Postdoctoral Research Fellow at The Roux Institute, Northeastern University. His research focuses on renewable energy systems, chemical engineering for biofuel production, and fluid dynamics in wind energy applications. He specializes in optimizing biodiesel processes using catalytic transesterification, analyzing wake effects in wind turbine arrays, and modeling atmospheric boundary layer interactions. His work addresses challenges in sustainable energy transition, particularly for Sub-Saharan Africa, emphasizing cost-optimal renewable energy solutions. He has contributed to studies on wind power variability in Kenya and CFD simulations for turbine wake dynamics. Barasa's research integrates numerical analysis, computational fluid dynamics (CFD), and policy frameworks to enhance energy system resilience. His articles highlight advancements in biofuel feedstock utilization, wind farm optimization, and renewable integration strategies. He collaborates on interdisciplinary projects bridging chemical engineering, environmental science, and energy economics. While no formal awards or grants are listed, his publications reflect a strong focus on practical solutions for sustainable energy challenges in developing regions. His current affiliation at The Roux Institute underscores Northeastern University's applied research initiatives in renewable technologies and climate action.

Jack Dennyمشاهده پروفایل

مدرس

• Blast effects on structures
• Blast injury modelling
• Complex blast propagation
• +۳ مورد دیگر

Dr. Jack Denny is a Lecturer in Structural Engineering at the University of Southampton's School of Engineering. His research focuses on blast effects on structures, blast injury modeling, and urban blast resilience, combining experimental testing and computational modeling. He holds a PhD from the University of Southampton (2017) and an EPSRC Doctoral Prize Fellowship. His work involves collaborations with institutions like the University of Cape Town and the American University of Beirut, addressing urban explosion challenges through interdisciplinary projects. Key research initiatives include co-founding the International Blast Injury Research Network (IBRN) and leading studies on the 2020 Beirut Blast's spatial and contextual impacts. He also investigates novel sensing technologies for blast loading measurement via Royal Society-funded projects. Teaching responsibilities span structural design, mechanics, and engineering fundamentals. Notable contributions include forensic engineering analyses of mass casualty events and development of sheltering guidelines for explosive threats. His work bridges engineering, medicine, and policy to enhance urban resilience against blast threats.

Majid Nazemمشاهده پروفایل

استاد

• Geotechnical Engineering
• Computational Mechanics
• Finite Element Analysis
• +۶ مورد دیگر

Professor Majid Nazem is a faculty member in the School of Engineering at RMIT University, specializing in Geotechnical Engineering. His research focuses on Computational Geomechanics, Finite Element Methods, Meshless Analysis, and Offshore Geomechanics. He has contributed to advancements in numerical modeling, soil-structure interaction, and dynamic soil behavior. Professor Nazem holds several notable awards, including the Manby Prize (2012) and the D.H. Trollope Medal (2006). His teaching expertise spans Geomechanics, Finite Element Analysis, and Engineering Mechanics. He actively supervises PhD and Master's students in areas like AI-driven geotechnical analysis and multi-phase media modeling. His work integrates machine learning with traditional geotechnical methods, addressing challenges in infrastructure maintenance and slope stability. Awards and Fellowships: Manby Prize by the Institution of Civil Engineers, UK (2012) Outstanding Reviewer Award by Elsevier (2012) Research Fellowship, The University of Newcastle, Australia (2009) The D.H. Trollope Medal by Australian Geomechanics Society (2006) Research Prize by Faculty of Engineering and Built Environment, The University of Newcastle (2005) Teaching and Supervision: Professor Nazem teaches courses in Geomechanics, Stress Analysis, and Engineering Computations. He supervises research projects focusing on computational geomechanics, meshless methods, and AI applications in geotechnical engineering. Recent projects include predicting soil behavior under dynamic conditions and optimizing tram track maintenance using machine learning. Research Trends: His recent articles emphasize machine learning integration in geotechnical analysis, dynamic seabed penetrators, and slope stability predictions. Key themes include surrogate modeling for tunnel stability, seismic collapse load analysis, and parameter identification using AI frameworks.

• Bio-inspired structures
• Construction materials
• Energy absorption of structures and materials
• +۴ مورد دیگر

Dr. Ngoc San Ha is a Lecturer in the School of Engineering at RMIT University, specializing in Civil and Infrastructure Engineering. He holds a PhD in Structural Mechanics from Konkuk University (South Korea, 2014). Previously, he served as a Sessional Lecturer at La Trobe University and a Research Fellow at Swinburne and Curtin Universities. He is a member of RMIT's Centre for Innovative Structures and Materials (CISM), led by ARC Laureate Fellow Mike Xie. Dr. Ha's research focuses on bio-inspired structures, construction materials, and energy absorption mechanisms. He has published over 40 peer-reviewed articles, including highly cited works in Composite Part B and Journal of Bionic Engineering , and has received two best-paper awards for biomimetic research. His work spans metamaterials, advanced composites, and structural analysis under extreme conditions. Education: PhD in Structural Mechanics (Konkuk University, 2014). Grants: Involved in ARC Linkage Projects and NSF China initiatives. Editorial Roles: Guest editor of International Journal of Protective Structures and topic editor at Materials . He supervises Masters and PhD students and contributes to cutting-edge research in structural innovation through CISM.

Jacopo Buongiornoمشاهده پروفایل

استاد

• Nuclear Energy
• Small Modular Reactors
• Microreactors
• +۶ مورد دیگر

Jacopo Buongiorno is the Battelle Energy Alliance Professor of Nuclear Science and Engineering at MIT, serving as Director of the Center for Advanced Nuclear Energy Systems (CANES) and Director of Science and Technology at the MIT Nuclear Reactor Laboratory. His affiliations include MIT's School of Engineering and the Department of Nuclear Science and Engineering. He is a member of the U.S. National Academy of Engineering (2024) and a Fellow of the American Nuclear Society (ANS). His research focuses on advanced nuclear reactor design, reactor thermal-hydraulics, and safety. Notable projects include developing offshore floating nuclear power plants, nuclear batteries, and the Future of Nuclear Energy in a Carbon-Constrained World study. Buongiorno has published over 110 journal articles and holds patents in nuclear applications, including nanofluids and ultra-low thermal-conductivity materials for diving suits. He teaches courses in thermo-fluids and nuclear reactor engineering, receiving awards like the MIT MacVicar Faculty Fellowship (2014) and ANS Landis Award (2011). His advisory roles include the U.S. Secretary of Energy's Space Working Group and the Naval Studies Board. Key collaborations involve Core Power, Idaho National Laboratory, and projects like Taiwan’s Innovative Green Economy Roadmap (TIGER). Buongiorno’s work emphasizes nuclear innovation for decarbonization, with contributions to hydrogen production, microreactors, and nuclear energy policy. His labs and teams, such as CANES, drive transformative technologies for global energy challenges.

Shaolei Gaiمشاهده پروفایل

پژوهشگر

• Multiphase Flow
• Energy Storage
• Heat and Mass Transfer
• +۳ مورد دیگر

Dr. Shaolei Gai is a Researcher at the School of Engineering, University of Newcastle, Australia. His work focuses on multiphase flow dynamics, energy storage systems, and heat/mass transfer phenomena. He holds a PhD in Chemical Engineering (2021) from the University of Newcastle, preceded by Bachelor and Master degrees in Aeronautical Engineering from Shenyang Institute of Aeronautical Engineering, China. Since 2022, he has been affiliated with the Priority Research Centre for Energy Technologies & Utilisation. Research interests include computational fluid dynamics (CFD), energy conversion technologies, and ultrasonic-driven phase change processes. His recent work explores hybrid buoyancy-compressed air energy storage systems and the role of cavitation bubbles in ice nucleation. He has contributed to experimental and theoretical studies on multiphase flow in microreactors and slurry systems. Publications highlight innovations in energy storage efficiency, bubble dynamics under ultrasonic fields, and lattice Boltzmann modeling of freezing processes. Collaborations with industry and cross-disciplinary teams underscore his focus on practical applications of fundamental research.

Stefan Gumholdمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Medical Imaging
• +۳ مورد دیگر

Professor Stefan Gumhold is a leading academic in computer graphics and visualization at TU Dresden. He has held roles including Head of the Chair for Computer Graphics and Visualization since 2005 and served as Dean of the Faculty of Computer Science from 2010 to 2012. His expertise spans visualization techniques, medical imaging, and immersive technologies. Gumhold earned his Ph.D. in 2000, focusing on mesh compression, and later received a Dissertation Award in the same year. He has contributed to projects like the Heisenberg Scholar Research Group and led the Kommission Umwelt at TU Dresden. His teaching includes courses such as Introduction to Computer Graphics, Data Visualization, and Scientific Visualization. Gumhold’s research emphasizes visualization platforms (e.g., ISAAC), image fusion, and neural network applications in medical diagnostics. His work often integrates virtual reality for data analysis, as seen in tools like VRCellLabeler and ExtremeWeatherVis. Education: Diploma in Computer Science (University of Tübingen, 1998), M.Sc. in Applied Physics (University of Massachusetts Boston, 1996). Research Highlights: Development of visualization frameworks, 3D reconstruction, and invertible neural networks for outlier detection. Awards: Dissertation Award 2000. Grants & Labs: Leadership in TU Dresden’s Computer Graphics lab and contributions to collaborative research projects like Fast-Haptic.

Wael H. Ahmedمشاهده پروفایل

استاد

• Multiphase Flow Analysis
• Thermo-Fluid Dynamics
• Energy Systems
• +۴ مورد دیگر

Dr. Wael H. Ahmed is a Professor at the University of Guelph's Department of Mechanical Engineering. His research focuses on multiphase flow analysis for energy, water, and food systems, including thermo-fluid dynamics of mechanical systems. He teaches undergraduate courses such as Fluid Mechanics, Thermodynamics, and Heat Transfer, and graduate courses on phase change heat transfer and two-phase flow. His research lab, the Flow, Energy and Dynamics Solution (FEADS) lab, collaborates with industry to develop sustainable solutions for mechanical systems, addressing fluid-structure interaction challenges. Current projects involve optimizing airlift pumps for aquaculture, biogas production, and CO2 capture. Dr. Ahmed emphasizes hands-on learning, engaging students in real-world engineering problems through 'Learning by Doing' initiatives. Key research areas include multiphase flow dynamics, two-phase flow instabilities, and energy-efficient technologies. He has developed innovative pumping systems and sensors for industrial applications, such as the FloNergia airlift pump commercialized with academic-industry partnerships. His work integrates computational fluid dynamics (CFD), experimental validation, and machine learning for flow pattern identification. Recent projects explore applications in nuclear power plant safety, catalytic converter flow analysis, and sustainable energy systems design.