جست‌وجوی استاد و پژوهشگر

• Nuclear Safety Engineering
• Hydrogen Safety
• Computational Fluid Dynamics
• +۵ مورد دیگر

Dr. Stephan Kelm serves as the Head of Thermofluid Dynamics and System Analysis (Safety Research) at the Institute of Energy Technologies (IET-4), Forschungszentrum Jülich. His work focuses on nuclear safety engineering, particularly in containment thermal hydraulics, hydrogen safety, and severe accident analysis. Kelm leads critical research in computational fluid dynamics (CFD) applications for nuclear safety, with extensive expertise in containment atmosphere modeling, hydrogen risk assessment, and passive safety systems. His research interests span nuclear safety engineering, hydrogen behavior in containment systems, computational fluid dynamics for nuclear applications, severe accident analysis, thermal hydraulics, and uncertainty quantification. Kelm's work addresses critical safety challenges in nuclear power plants, particularly concerning hydrogen combustion risks, containment integrity during severe accidents, and the development of advanced simulation tools for safety assessment. Kelm has contributed significantly to the development and validation of the containmentFOAM CFD solver, which has become a specialized tool for nuclear containment analysis. His research encompasses both fundamental fluid dynamics phenomena relevant to nuclear safety and practical applications for reactor design and accident management. He actively participates in major European collaborative projects including AMHYCO and SASPAM-SA, focusing on hydrogen safety and advanced reactor designs. His extensive publication record demonstrates leadership in nuclear safety research, with numerous conference proceedings and journal articles covering containment thermal hydraulics, hydrogen risk assessment, CFD model development, and severe accident management strategies. Kelm's work bridges theoretical fluid dynamics with practical nuclear safety applications, contributing to enhanced safety standards in the nuclear industry. As a senior researcher at one of Europe's leading nuclear research institutions, Kelm collaborates extensively with international partners and contributes to the development of safety guidelines and regulatory practices for nuclear power plants worldwide.

Keith Waltersمشاهده پروفایل

استاد

• Fluid Mechanics
• Heat Transfer
• Computational Fluid Dynamics
• +۳ مورد دیگر

Keith Walters serves as Professor and Associate Department Head of Graduate Programs in the Department of Mechanical Engineering at the University of Arkansas. He joined the university in August 2021, following his role as the Tom & Mary Dugan Professor at the University of Oklahoma (2016-2021) and a faculty position at Mississippi State University (2003-2016). Dr. Walters holds a B.S., M.S., and Ph.D. in Mechanical Engineering from Clemson University. His research spans fluid mechanics and heat transfer with a primary focus on computational fluid dynamics (CFD), including turbulence modeling, numerical methods, and high-performance computing. Funded by NSF, NASA, DOD, DOE, and industry partners, his work has produced over 140 refereed publications, with computational models adopted into government, open source, and commercial CFD codes. Dr. Walters has received significant recognition including: NSF CAREER award MSU Bagley College of Engineering Outstanding Researcher award MSU Bagley College of Engineering Academy of Distinguished Teachers ASME Robert T. Knapp Award (2016 and 2017) He has held leadership roles as Chair of the ASME Fluids Engineering Division and ASME Fluids Applications and Systems Technical Committee, served as Associate Editor for the Journal of Fluids Engineering, and co-chaired the 2015 ASME-JSME-KSME Joint Fluids Engineering Summer Conference. At Mississippi State University, he directed the Center for Advanced Vehicular Systems and coordinated Mississippi NSF EPSCoR.

Michele Vivianiمشاهده پروفایل

استاد

• Naval Architecture
• Marine Engineering
• Hydrodynamics
• +۵ مورد دیگر

Michele Viviani serves as a Full Professor and Director of the Department of Naval, Electrical, Electronic and Telecommunications Engineering (DITEN) at the University of Genoa. He holds key administrative roles including membership in the Academic Senate and School Council of the School of Engineering, and serves on the Department Board. His teaching responsibilities include Ship Handling for the Master's program and Ship Statics for the undergraduate Naval Engineering program. His research spans naval architecture and marine engineering with core expertise in propeller design optimization, cavitation phenomena, underwater acoustics, and ship maneuverability. He integrates experimental hydrodynamics, computational fluid dynamics (CFD), and data-driven approaches to address challenges in marine propulsion systems and vessel performance. His methodology emphasizes combining physical testing with numerical modeling for practical engineering solutions. Analysis of his 2022-2025 publications reveals a dominant focus on reducing underwater radiated noise through advanced propeller optimization, detailed experimental studies of cavitation erosion mechanisms, and maneuverability assessments for diverse vessel types including submarines, container ships, and escort tugs. His work increasingly incorporates machine learning techniques with traditional hydrodynamic modeling to enhance prediction accuracy for noise, erosion, and maneuvering characteristics.

Marcel Aachمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• High-Performance Computing
• Machine Learning
• +۳ مورد دیگر

Marcel Aach is a researcher at the Jülich Supercomputing Centre (JSC) within Research Centre Jülich, focusing on high-performance computing (HPC) and artificial intelligence (AI) integration. His work spans hyperparameter optimization, quantum-classical hybrid systems, and scalable deep learning architectures. Research Focus: AI-driven CFD simulations, medical imaging analysis, and edge AI optimization Infrastructure: Leverages JSC's HPC systems for large-scale computational tasks Recent publications highlight his contributions to resource-adaptive AI training, turbulent flow prediction using GRU models, and enhancing CT data accuracy for respiratory simulations. His work intersects HPC scalability, machine learning efficiency, and interdisciplinary applications. While no scientific awards are explicitly documented in the provided texts, his research demonstrates technical leadership in merging classical and quantum computing paradigms for AI optimization.

Jan Meinkeمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• GPU Programming
• Performance Portability
• +۵ مورد دیگر

Dr. Jan Meinke is a Researcher at the Jülich Supercomputing Centre (JSC) within Forschungszentrum Jülich, Germany. His work focuses on high-performance computing, GPU programming, and performance portability across different hardware platforms. He contributes to the development of exascale computing applications and benchmarks, particularly through the JUPITER benchmark suite. Based in Building 14.14, Room 4012 at the Jülich research campus, he maintains active research collaborations across computational science domains. Dr. Meinke's research spans two major domains: high-performance computing and computational epidemiology. In HPC, he investigates GPU programming models, performance portability across vendors, and scalable computational fluid dynamics. His work on the JUPITER benchmark suite aims to address challenges in application-driven exascale computing. In computational epidemiology, he has developed forecasting models for COVID-19 spread across European nations, focusing on ensemble approaches and short-term prediction. His earlier work includes protein folding simulations and Monte Carlo methods, demonstrating a long-standing interest in computational methods across scientific domains. Analysis of Dr. Meinke's publication history reveals a strategic evolution from computational biophysics to high-performance computing infrastructure. His recent work (2023-2025) shows a strong emphasis on performance portability across GPU architectures, particularly for scientific computing applications like the N-body problem and computational fluid dynamics. The JUPITER benchmark suite represents a significant contribution to exascale computing evaluation, bridging theoretical computer science with practical applications. His dual focus on HPC infrastructure and epidemiological modeling demonstrates versatility in applying computational methods to diverse scientific challenges. Dr. Meinke has been actively involved in both teaching and research aspects of high-performance computing, authoring educational materials on GPU programming with CUDA and advanced GPU techniques. His work demonstrates a commitment to advancing both the theoretical foundations and practical applications of high-performance computing, with implications for scientific discovery across multiple domains including physics, engineering, and public health.

• Industrial Engineering
• Supply Chain Management
• Logistics Optimization
• +۳ مورد دیگر

Prof. Roberto Montanari, a Full Professor at the University of Parma's Department of Systems Engineering and Industrial Technologies , has dedicated his career to advancing industrial engineering with a focus on supply chain logistics , food industry processes , and RFID technology . His work bridges simulation modeling and optimization for complex systems. PhD in Mechanical Engineering (University of Parma, 1999) Educational leadership in Industrial Plants , Food Industry Machinery , and Logistics Systems Research interests include logistics optimization , RFID-enabled supply chains , and food processing innovation . He pioneered ant colony algorithms for warehouse routing and CFD simulations for mixer design. His work spans WEEE management , food waste valorization , and smart city logistics . His 15+ recent publications demonstrate expertise in warehouse automation, perishable inventory control, and sustainable systems. Awards include BEST PAPER AWARD (MAS 2012) and XXI Summer School 'Francesco Turco' recognition. Director of interdepartmental center CIPACK (2014–present) Co-founder of academic spin-off FMB Engineering Innovation Erasmus+ Rector's Delegate (2018–present)

Marian Gierasمشاهده پروفایل

استاد

• Combustion Processes
• Explosion Suppression
• Computer Modeling of Engine Processes
• +۳ مورد دیگر

Professor Marian Gieras is a distinguished faculty member at Warsaw University of Technology's Faculty of Power and Aeronautical Engineering, where he serves in the Department of Aircraft Engines. His academic career spans several decades with significant contributions to combustion engineering and industrial safety. His research focuses on combustion processes , explosion suppression , and computer modeling of engine processes , with particular expertise in turbine engine combustion chambers and dust explosion dynamics. His work bridges theoretical research with practical industrial applications, especially in hazardous environments requiring explosion prevention systems. Professor Gieras' publication record demonstrates consistent research productivity, with notable contributions in combustion engineering and safety systems . His work shows increasing focus on computational modeling techniques applied to explosion dynamics and turbine engine design, with publications appearing in leading journals like Journal of Loss Prevention in the Process Industries and Combustion Science and Technology. Major scientific awards include: Silver Medal for Long Service awarded by the President of Poland (2010) Multiple Rector's Awards from Warsaw University of Technology (2006-2011) Chief Labour Inspectorate (PIP) Awards for occupational safety research (1996, 2002) As an educator, Professor Gieras has contributed significantly to academic programs, serving as Quality Assurance Delegate for the Dean and participating in numerous scientific committees. He has supervised doctoral research and contributed to major projects including the EU MINFIREX initiative focused on explosion risk reduction in underground coal mining. His laboratory work centers on combustion dynamics testing, with specialized facilities for studying explosion parameters in controlled environments. He maintains active collaboration with industry partners through research contracts with organizations like Shell Technology Centre and Komag.

David Bradneyمشاهده پروفایل

مدرس

• Wind Energy
• Computational Fluid Dynamics
• Discrete Element Method
• +۴ مورد دیگر

Dr David Bradney is a Conjoint Lecturer at the University of Newcastle (Australia) within the Mechanical Engineering department and serves as Engineering Manager at TUNRA Bulk Solids . His academic career spans roles as Research Associate (2017-2018) and Associate Lecturer (2016-2018). Education: PhD (2016) and Bachelor of Mechanical Engineering (Honours) from the University of Newcastle Research Interests focus on Wind Energy and Bulk Materials Handling , with expertise in Computational Fluid Dynamics (CFD) , Discrete Element Method (DEM) , and Finite Element Modelling . His work addresses turbine performance in turbulent flows, fatigue load analysis, and industrial wear prediction. Publications span wind turbine blade dynamics, thermal stress in coal handling equipment, and marine biomechanics studies. Recent projects analyze shiploader trimmer flap failures and small wind turbine fatigue life using advanced simulation techniques. Total Funding: $976,436 across 9 grants (2017-2024) Key Funders: Australian Coal Research Limited, Department of Industry, Innovation and Science, Melvelle Equipment Corporation Professional Contributions include developing Arduino-based wind turbine monitoring systems, novel rail pre-tensioning technology, and smart conveyor safety systems. He has supervised one Master's student in coal dust mitigation research.

Sam Stennettمشاهده پروفایل

پژوهشگر ارشد

• Hypersonics
• Mechanical Engineering
• Aerospace Engineering
• +۳ مورد دیگر

Dr. Sam Stennett is an Adjunct Research Fellow at the School of Mechanical and Mining Engineering , The University of Queensland , specializing in Hypersonics and advanced shock tunnel technology. His research focuses on developing and optimizing experimental facilities like the X3R Free-Piston Reflected Shock Tunnel for long-duration hypersonic testing. University: The University of Queensland School: School of Mechanical and Mining Engineering Rank: Research Fellow Email: s.stennett@uq.edu.au Stennett's work bridges Mechanical Engineering and Aerospace Engineering , emphasizing Computational Fluid Dynamics (CFD) validation, 3D Flow Analysis , and Experimental Fluid Dynamics . He contributes to shock tunnel design and hypersonic flow modeling , collaborating with experts like Prof. Peter Jacobs and Dr. David Gildfind. His publications highlight advancements in free-piston driver optimization , piston trajectory measurement , and CFD solver development , with a 2024 study in Experiments in Fluids demonstrating multi-mode shock expansion tunnel capabilities.

Adnan Sufianمشاهده پروفایل

مدرس

• Granular Materials
• Computational Modeling
• Geotechnical Engineering
• +۳ مورد دیگر

Dr Adnan Sufian is an Honorary Lecturer at the School of Civil Engineering, University of Queensland, with expertise in multiscale mechanics of granular materials. His research bridges geotechnical engineering and computational modeling, focusing on fluid-soil interactions and civil infrastructure resilience. PhD from UNSW Sydney Visiting scholar at MIT Postdoctoral work at Imperial College London Industry experience with SMEC Australia His research addresses granular material behavior under complex conditions, including internal erosion dynamics in dams, particle migration in gap-graded soils, and seismic stability of engineered landfills. Methodologically, he employs CFD-DEM coupling , pore network models , and Voronoi tessellation for granular simulations. The 15 most recent publications highlight a focus on erosion mechanisms , filter design , seismic stability , and microcapsule retention in granular media. These works utilize computational methods (CFD-DEM, PNM-DEM) and experimental techniques (X-ray CT, time domain reflectometry) to analyze soil-fluid interactions. Dr Sufian is available for supervision, with current projects on resilient infrastructure and past completions investigating micro-scale erosion conditions and particle migration dynamics . His research has been supported by grants from ARC and UQ, including projects on real-time erosion prediction and geotechnical data integration. Key collaborations span physicists, mathematicians, and engineers , reflecting the interdisciplinary nature of his work on granular material behavior. The ARC Advance Timber Hub and partnerships with institutions like Imperial College London and UNSW Sydney further contextualize his academic network.

• Computational Fluid Dynamics
• Heat & Mass Transfer
• Fluid Mechanics
• +۲ 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.

Francesco Pillaمشاهده پروفایل

استاد

• Smart Cities
• Geospatial Analysis
• Urban Dynamics
• +۱۱ مورد دیگر

Francesco Pilla is a Full Professor at University College Dublin's School of Architecture, Planning and Environmental Policy, specializing in Smart and Sustainable Cities. His work bridges urban technology, geospatial modeling, and citizen science initiatives. Coordinates EU Horizon projects: iSCAPE (air pollution control), OPERANDUM (flood risk reduction), WeCount (mobility systems), Connecting Nature (nature-based solutions) Leads SFI Investigator Grant on scalable mobility analytics Co-Director of Spatial Dynamics Lab Research focuses on: Geospatial big data & AI integration Participatory sensing with low-cost sensors Climate action through educational co-design Urban microclimate optimization Policy-driven AI consensus models Key articles demonstrate expertise in air quality monitoring, traffic safety analysis, and energy-efficient urban design. Awards include: Haagen-Smit Prize for atmospheric research Electric Vehicle Awards 2024 for eMobility innovation Academic Research Award from Financial Times Teaching responsibilities include: Advanced GIS (2018-2025) Smart Cities module (2019-2024) Research Methods coordination (2019-2024) Labs & Teams: Co-Director of Spatial Dynamics Lab, member of Science Foundation Ireland Energy Institute, and collaborator with MIT & IBM research labs.

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

Luigi Martinelliمشاهده پروفایل

استاد

• Fluid Mechanics
• Computational Fluid Dynamics
• Aerodynamics
• +۳ مورد دیگر

Luigi Martinelli is a Professor at Princeton University's School of Engineering and Applied Science , specifically affiliated with the Department of Mechanical and Aerospace Engineering . He holds a Ph.D. from Princeton (1987) and has been a faculty member since 1994, teaching courses in Aerodynamics, Applied and Computational Mathematics, and Design. Ph.D., Princeton University, 1987 Undergraduate, Politecnico di Milano, Aeronautical Engineering His research focuses on Fluid Mechanics , Computational Fluid Dynamics (CFD) , and Shape Optimization , with applications to aerospace, biomedical devices, and renewable energy systems. He has pioneered multigrid methods for viscous conservation laws and shape optimization techniques using Reynolds Averaged Navier-Stokes equations. Recent publications span 2024–2025, combining CFD advancements (e.g., high-order methods for Euler equations, molecular gas dynamics) and biomedical applications (e.g., biliary stent removal, asthma anthropometry). Collaborations include medical research cohorts (SANI registry, TreC study) and aerospace/energy projects. Scientific Awards: 2003 Graduate Mentoring Award, McGraw Center, Princeton Martinelli collaborates internationally, with affiliations at institutions in Italy (Ist. di Gasdinamica, Dip. di Energetica). His work bridges engineering design and applied clinical research , emphasizing fluid dynamics in both domains. He actively develops next-generation CFD solvers and has contributed to industry standards for transonic aircraft design.

• Thermofluid Dynamics
• Fluid Mechanics
• Heat Transfer
• +۱ مورد دیگر

Maria Heckl is a Professor at the Chair of Thermofluid Dynamics within the Technical University of Munich . Her research focuses broadly on thermofluid dynamics, fluid mechanics, heat transfer, and thermal engineering. The Chair of Thermofluid Dynamics investigates complex interactions between thermal and fluid systems, with applications in energy, aerospace, and industrial processes. Research areas include computational fluid dynamics (CFD), turbulence modeling, and thermal management solutions. For contact, her email is maria.heckl@tum.de . No scientific awards, student advisement records, or recent publications are detailed in the provided information. She is affiliated with the Technical University of Munich's research infrastructure, though no specific labs or teams are described in the text.