جست‌وجوی استاد و پژوهشگر

Ben Thornberمشاهده پروفایل

استاد

• Fluid Dynamics
• Turbulence
• Combustion
• +۶ مورد دیگر

Ben Thornber is a Professor of Thermofluids in the School of Mechanical and Aerospace Engineering at Queen’s University Belfast. He previously served as Associate Dean Research for the Faculty of Engineering at the University of Sydney, leading research strategy and equity initiatives. His research focuses on fundamental challenges in flow, turbulence, and combustion, with applications to rotorcraft, scramjets, wind turbines, and automotive aerodynamics. He has developed advanced numerical models and methods, attracting significant research funding from councils and industry. Thornber is a Fellow of the Royal Aeronautical Society and actively promotes outreach, including collaborations with the Science Museum and ABC News. His group’s work spans high-speed propulsion, turbulent mixing, and aerodynamic optimization, with notable contributions to Richtmyer-Meshkov instability studies and detached-eddy simulations. Thornber holds a PhD from the University of Sydney and has supervised numerous students, including alumni like Dr. Michael Groom (CSIRO Fellow) and Dr. Zeeshan Rana (Cranfield University Senior Lecturer). His research portfolio includes over 60 peer-reviewed articles, with recent emphasis on spherical implosions, actuator surface modeling, and wind farm aerodynamics. He advocates for diversity in STEM, particularly encouraging underrepresented groups to pursue PhDs in fluid dynamics and CFD. Education: PhD in Aerospace Engineering (University of Sydney) Affiliations: Royal Aeronautical Society Fellow, European Space Research Technology Centre (ESTEC) Key Projects: LUMEN Demonstrator Heat Transfer, Ship-Helicopter Dynamic Interface Modeling, DLR Collaborations His scientific outreach includes media appearances and educational initiatives, emphasizing public engagement in engineering and fluid dynamics. Current research trends highlight compressible mixing, turbulence modeling, and high-performance CFD solver development for industrial and aerospace applications. Grants & Awards: Athena Swan Bronze Award contributor, Multi-million-pound research funding from industry and councils

• Marine Energy
• Tidal Energy Systems
• Wave Energy Conversion
• +۵ مورد دیگر

Professor Ian Masters is a Professor of Mechanical Engineering at Swansea University, affiliated with the School of Aerospace, Civil, Electrical and Mechanical Engineering within the Faculty of Science and Engineering. His primary research focuses on marine and tidal energy systems, including tidal turbine blade dynamics, CFD modeling of wave machines, and environmental impact analysis of marine energy sites. He co-founded the Low Carbon Research Institute Marine Consortium (LCRI Marine) in 2006, driving research into renewable energy from oceanic and riverine systems. He previously served as Financial Director of Swanturbines Ltd, a marine renewable energy company. His research interests span tidal and wave energy converters, fluid-structure interaction, and offshore engineering. Notable contributions include the development of the Remote River Energy System, a low-maintenance turbine design for remote areas, and pioneering work on flexible polymer-based materials for energy harvesting. He collaborates extensively with industry and governmental bodies, such as the Marine Energy Task Group for Wales, to advance marine energy standards and industrial relevance. Recent publications emphasize advanced modeling techniques (e.g., phase field formulations for fracture mechanics) and field studies on tidal farm interactions with coastal environments. His work bridges computational innovation with real-world applications, addressing challenges like turbine array performance, material fatigue, and energy-grid integration. He supervises PhD students exploring topics such as fatigue-resistant elastomers, structural health monitoring, and tidal turbine simulation. Professor Masters is based at the Energy Security Research Institute on Swansea’s Bay Campus and actively contributes to interdisciplinary initiatives, including the Morgan Advanced Studies Institute. His research aims to optimize renewable energy systems while minimizing environmental impacts, reflecting Swansea’s commitment to net-zero carbon futures.

Timothy Horiuchiمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neuromorphic Engineering
• VLSI System Design
• +۵ مورد دیگر

Dr. Timothy Horiuchi is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Maryland, affiliated with The Institute for Systems Research, Maryland Robotics Center, Brain and Behavior Institute, and Robert E. Fischell Institute for Biomedical Devices. He leads the Computational Sensorimotor Laboratory (CSSL) and contributes to the Microelectronics at Maryland group. His research bridges computational neuroscience and neuromorphic VLSI design, focusing on sensorimotor systems inspired by biological mechanisms like bat echolocation. Education: B.S. and Ph.D. in Electrical Engineering from Caltech (1989, 1997), followed by postdoctoral research at Johns Hopkins University. Industrial experience includes roles at Hughes Aircraft, Boeing, IBM, HP, and Tanner Research. Research interests include bio-inspired neuromorphic systems, acoustic signal processing, mobile robotics, and neural circuit modeling. Recent work explores bio-hybrid robots, acoustic metamaterials, and spike-based navigation algorithms. His NSF-funded projects include the 'ExLENT' experiential learning initiative and the DREEM microelectronics workforce program. Notable achievements: NSF CAREER Award (2004) for bat echolocation modeling, ISR Outstanding Faculty Award (2004), and 2019 Elevate Fellowship to redesign ENEE 303. His lab has pioneered neuromorphic chips for auditory localization, motor control, and spike-sorting tools for neurophysiology. Advising: Supervises graduate students like Nathan Renegar. Grants include contributions to NSF neuroengineering initiatives and collaborative industry partnerships. Current projects address odor-guided drones, Luneburg lens-based acoustic waveguides, and neuromorphic social robots. Labs/Teams: CSSL focuses on sensorimotor systems; Microelectronics group develops advanced VLSI technologies. Collaborations span neuroscience, robotics, and biomedical engineering domains.

Carl-Martin Pfeilerمشاهده پروفایل

پژوهشگر

• Computational Micromagnetics
• Numerical Analysis
• Magnetic Materials
• +۳ مورد دیگر

Carl-Martin Pfeiler is affiliated with TU Wien's Research Group Numerics of PDEs (E101-02-2). He holds academic qualifications including Dipl.-Ing. (Master of Engineering) and Dr.techn. (PhD in Technical Sciences). His research focuses on computational micromagnetics, numerical methods for partial differential equations (PDEs), and magnetic skyrmion dynamics. Key contributions include developing the mass-lumped midpoint scheme for skyrmion dynamics simulations and advancing IMEX-type integrators for the Landau-Lifshitz-Gilbert equation. Education: Dipl.-Ing. (Engineering) from TU Wien Dr.techn. (Technical Sciences PhD) from TU Wien Research interests emphasize computational approaches to magnetic phenomena , with a focus on: Numerical analysis of micromagnetic models Algorithm development for efficient simulations (e.g., Commics software) Study of topological spin textures like magnetic skyrmions Stability and convergence of numerical schemes Publications highlight advancements in: Nonlinear dynamics of skyrmions Efficient finite element methods Preconditioning strategies for iterative solvers Chiral skyrmion simulations Collaborations include work with Dirk Praetorius, Michele Ruggeri, and the Commics development team. His work bridges applied mathematics and materials science, addressing challenges in spintronics and nanomagnetism.

• Hydraulics
• Computational Fluid Dynamics
• Turbulence Modeling
• +۶ مورد دیگر

Enrico Napoli is a Full Professor in the College of Engineering at the University of Palermo, where he has been since 2001 (promoted from Associate Professor). He conducts research in numerical modeling of incompressible fluid flows with applications across civil, environmental, and industrial engineering domains, particularly focusing on turbulence analysis. He developed the PANORMUS open-source software (with finite-volume and SPH modules) for 3D hydrodynamic simulations, fully parallelized via MPI libraries and distributed as free software. As a delegate for the Rector's Program and Strategic Plan implementation, he also serves on the University's Academic Senate since 2009. Graduated Magna Cum Laude in Civil Hydraulic Engineering (1993) at University of Palermo His research covers: (1) 3D hydrodynamic modeling using finite-volume and SPH methods for free-surface and confined flows; (2) Development of PANORMUS open-source software (including hybrid FVM-SPH capabilities); (3) Water distribution network modeling with characteristic method applications; (4) Turbulence analysis in environmental and engineering contexts; (5) Biomedical fluid dynamics applications including cardiovascular FSI and thrombus formation. His computational work addresses both fundamental fluid mechanics and applied problems like desalination technologies , water quality management , and pollutant dispersion . Scientific activities include: Computational Advancements : Developed PANORMUS software with multi-domain parallelization and deformable wall capabilities Environmental Applications : Studied Augusta Harbour hydrodynamics, Stagnone Lagoon circulation, and urban stormwater pollution Biomedical Research : Modeled thrombus formation in cardiovascular systems using SPH Engineering Solutions : Analyzed energy recovery systems with PAT technology and flow regulation via PRVs

• Gravitational Wave Astronomy
• Precision Interferometry
• Instrumental Noise Modeling
• +۳ مورد دیگر

Dr. Olaf Hartwig is a Senior Scientist at the Albert Einstein Institute (AEI) in both Potsdam and Hannover. His research focuses on precision interferometry and fundamental interactions, specifically for the Laser Interferometer Space Antenna (LISA) project. He holds a PhD in Physics from the University of Hannover (2021) and has held postdoctoral positions at SYRTE - Observatoire de Paris and AEI. His work bridges instrumental modeling, data processing, and noise reduction for space-based gravitational wave detection. Education: BSc and MSc in Physics (University of Hannover), PhD in Physics (University of Hannover via AEI Potsdam) Current Roles: Split post-doctoral position between AEI Potsdam (global fit for LISA) and AEI Hannover (Performance and Operations team) Research Interests revolve around space-based gravitational wave detectors, with emphasis on: Instrumental Modeling - Refining noise models, addressing data gaps, and mitigating glitches in LISA data Data Processing - Developing simulations, performance models, and software tools like PyTDI Detector Optimization - Clock synchronization, light-travel time estimation, and onboard optical delay compensation Publication Trends (15 most recent) show a focus on LISA instrumentation, with key topics including time-delay interferometry (TDI), stochastic gravitational wave background reconstruction, instrumental noise characterization, and intersatellite ranging. His work frequently integrates GPU acceleration, Python-based toolchains, and end-to-end simulation pipelines.

• Atmospheric Science
• Climate Modelling
• Aerosol-Cloud Interactions
• +۷ مورد دیگر

Eimear M. Dunne is a Post-doctoral Research Associate in the Department of Geography at the University of Cambridge, where she contributes to the Parameterization of Convection (ParaCon) project, focusing on improving convective cloud modeling using Large Eddy Simulations. She previously held research positions at the Finnish Meteorological Institute and the University of Leeds, where she worked on the CERN CLOUD project investigating aerosol nucleation processes. Her research interests include atmospheric aerosol formation, cloud-aerosol interactions, climate modeling, ion-induced nucleation, and the role of cosmic rays and biogenic emissions in new particle formation. She specializes in using global and regional models such as GLOMAP and LES to simulate aerosol and cloud processes. Her publications reveal a strong focus on understanding the molecular and physical mechanisms behind atmospheric particle nucleation, particularly involving sulfuric acid, ammonia, amines, and organic oxidation products. She has extensively collaborated with the CLOUD team at CERN, contributing to landmark studies published in Science , Nature , and Atmospheric Chemistry and Physics . Scientific Awards: No scientific awards mentioned in the text. Advising and Grants: Dr. Dunne has been funded by prestigious programs including the NERC, the Academy of Finland (for both Research Fellow and Postdoctoral projects), and the EU FP7 Marie Curie Initial Training Network. While no students are listed, her work involves mentoring and collaboration within large international research teams. Labs and Teams: She has been actively involved with the CLOUD collaboration at CERN, the Climate Modelling group at the Finnish Meteorological Institute, and currently works within the LES4CCFM team at the University of Cambridge, focusing on advancing convection parameterizations in climate models.

Etienne Meminمشاهده پروفایل

استاد

• Fluid Dynamics
• Geophysics
• Applied Mathematics
• +۳ مورد دیگر

Etienne Memin is a Research Director (equivalent to Full Professor) at Inria and a Visiting Professor at Imperial College London. He leads the Odyssey research group, affiliated with Inria, University of Rennes, and other institutions. His work focuses on stochastic modeling of geophysical flows, fluid dynamics, and data assimilation. Memin is the Principal Investigator (PI) of the ERC-funded STUOD project, which explores stochastic transport in upper ocean dynamics. His research bridges disciplines such as applied mathematics, computer vision, and geophysics. Education: HDR (Habilitation à Diriger des Recherches) from University Rennes I in 2003. Previous roles include Research Director at Inria since 2008 and collaborations with institutions like IFREMER, Imperial College, and Zhejiang University. Research Interests: Stochastic modeling of fluid dynamics, data assimilation frameworks, and uncertainty quantification. His work includes developing ensemble techniques for data assimilation and stochastic representations of turbulence. Recent projects involve stochastic shell models and wave solutions in shallow water dynamics. Collaborations: Active partnerships with Imperial College, IFREMER, MétéoFrance, and others on topics like stochastic parameterization and error modeling in weather prediction. Key collaborations include the STUOD project and Royal Society-funded studies on stochastic large-eddy simulations. Students and Grants: Supervised over 20 PhD students, including current advisees Francesco Tucciarone and Antoine Moneyron. His grants include the ERC STUOD and multiple ANR projects. He leads the Odyssey group, fostering interdisciplinary research in fluid dynamics and geophysics. Labs/Teams: Odyssey group at Inria, collaborating with IMT Atlantique, IRMAR, and international partners. His work emphasizes computational fluid dynamics and real-world applications like flood modeling and wind engineering.

Stephane Vialleمشاهده پروفایل

پژوهشگر

• High-Performance Computing
• GPU Computing
• Quantum Computing
• +۳ مورد دیگر

Stephane Vialle is a researcher at CentraleSupélec, leading the Interdisciplinary Laboratory of Digital Sciences. His research focuses on High-Performance Computing (HPC), GPU Computing, Quantum Computing, and Quantum Machine Learning. He has extensive experience in developing scalable fine-grained computing environments and optimizing parallel algorithms for distributed systems. His work spans financial engineering, energy management, and railway infrastructure through digital twin technology. Recent contributions include advancements in GPU cluster energy efficiency, stochastic control algorithms, and hybrid classical-quantum architectures for data clustering. Research interests emphasize optimizing parallel computing frameworks for diverse applications, including financial modeling, material science simulations, and transportation systems. His publications demonstrate expertise in distributed computing, fault-tolerant architectures, and algorithmic innovation across multiple computational paradigms. Current projects explore quantum computing integration with classical systems, GPU-based large-scale data processing, and real-world applications of parallel simulation techniques. Notable contributions include the parXXL development environment for coarse-grained platforms and the MINERVE digital twin for railway infrastructure management. His work bridges theoretical computing advancements with practical implementations in engineering and finance domains.

Fei Heمشاهده پروفایل

پژوهشگر ارشد

• Fluid Dynamics
• Hydrodynamics
• Environmental Engineering
• +۳ مورد دیگر

Fei He is a Research Fellow at the School of Engineering, The University of Western Australia, with a casual teaching role. He holds a Doctor of Philosophy (PhD). His research focuses on fluid dynamics, hydrodynamics, and environmental engineering, particularly in flow through porous media, cylinder arrays, and scour modeling. He has contributed to studies on obstacle arrangement effects, drag coefficient analysis, and vortex-induced vibrations. Research interests include fluid dynamics in coastal, civil, and mechanical engineering contexts. His work addresses challenges in flow control, sediment transport, and wave attenuation by vegetation. Key contributions include semi-empirical models for scour analysis and experimental studies on coral grain settling. Recent publications (2023–2025) explore hydrodynamic forces, three-dimensional flow past cylinders, and porous obstruction dynamics. Collaborations span geophysical, environmental, and mechanical engineering domains.

Feifei Tongمشاهده پروفایل

عضو هیئت علمی

• Computational Fluid Dynamics (CFD)
• Flow Interference Around Structures
• Wave Hydrodynamics
• +۶ مورد دیگر

Feifei Tong is an Adjunct Senior Research Fellow in the School of Engineering at The University of Western Australia , specializing in Civil, Environmental and Mining Engineering . Their research focuses on computational fluid dynamics (CFD) , flow interference around structures , wave hydrodynamics , and coastal wave dynamics . They actively collaborate with international researchers, particularly in Australia and Asia-Pacific regions, addressing challenges in marine renewable energy systems and offshore engineering. Key research areas include hydrodynamic forces on submerged structures, vortex shedding suppression, and flow-structure interaction mechanisms. Their work contributes to sustainable development goals through innovations in subsea cable stabilization, offshore wind farm infrastructure, and underwater datacenter design. Tong holds a PhD in Engineering and has published extensively in top-tier journals like Physics of Fluids and Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering (OMAE) . Recent studies analyze wake transitions, oscillating cylinder dynamics under various flow conditions, and hydrodynamic damping mechanisms. Their research bridges experimental tank testing and advanced CFD simulations, yielding practical solutions for marine energy transmission and coastal protection systems.

• Sleep Neuroscience
• Neurobiology
• Sleep Medicine
• +۳ مورد دیگر

Dr. Lukas B. Krone is a Sir Henry Wellcome Fellow at the University of Oxford, with affiliations at Merton College and international collaborations at the Universities of Bern (CH) and Wisconsin-Madison (USA). He works in the Department of Physiology, Anatomy and Genetics , focusing on sleep neurobiology and cortical regulation of sleep-wake transitions . University of Würzburg (preclinical medicine, 99.9% percentile) University of Freiburg (MD, first-class medical degree) University of Oxford (MSc in Neuroscience, DPhil in Sleep Regulation) Dr. Krone's research investigates corticothalamic interactions , sleep homeostasis , and neurotherapeutic interventions for sleep disorders. His work combines animal models with clinical sleep studies , challenging subcortical-centric sleep regulation theories. Recent publications cover non-invasive brain stimulation , cortical sleep circuits , and sleep-mental health interactions . He has received multiple early investigator awards from international sleep societies and competitive scholarships from Oxford, Bavaria, and the German academic foundation Studienstiftung. Sherrington Prize in Neuroscience (2021) Sir Henry Wellcome Postdoctoral Fellowship Goodger and Schorstein Scholarship Mann Senior Scholarship Early Investigator Awards (German/European/World Sleep Societies) Dr. Krone actively engages in science communication through The Conversation articles and public lectures, while pursuing astronaut training with the European Space Agency for space-based sleep research.

• Edge Computing
• Mobile Computing
• Wireless Networking
• +۹ مورد دیگر

Sanglu Lu is a Professor in the Department of Computer Science at Nanjing University's School of Computer Science and Engineering. With over 400 publications spanning from 1998 to 2025, Professor Lu has established a significant research presence in mobile computing, edge computing, and wireless sensing technologies. Their work frequently appears in top-tier conferences including INFOCOM, IEEE Transactions journals, and AAAI. Professor Lu's research focuses on cutting-edge areas in computer science, particularly in edge AI systems, millimeter-wave and RFID-based sensing, graph neural networks, and time series analysis. Their work bridges theoretical advances with practical applications, often addressing resource-constrained environments and real-world deployment challenges. Recent publications show a strong emphasis on privacy-preserving sensing techniques, efficient model deployment at the edge, and multimodal approaches to human activity understanding. Analysis of publication trends reveals Professor Lu's work has evolved from traditional mobile networking topics toward more AI-centric research, particularly in the last five years. The research demonstrates strong interdisciplinary connections between networking, sensing, and machine learning, with increasing focus on practical applications in healthcare, accessibility technology, and industrial IoT systems. Publications consistently show collaboration with researchers across China and internationally, indicating an active research group and extensive professional network. Professor Lu has mentored numerous researchers as evidenced by the extensive publication record with various co-authors, though specific student names aren't detailed in the provided information. Their work has received significant attention in the research community, as reflected by the substantial number of publications in high-impact venues. Current research directions include innovative approaches to edge AI, advanced wireless sensing techniques using commercial hardware, and novel neural network architectures for time series and graph data. Professor Lu's laboratory appears to be actively working on real-world applications of these technologies, particularly in health monitoring, accessibility solutions, and industrial automation contexts.

Bengt Eliassonمشاهده پروفایل

استاد

• Plasma Physics
• Ionospheric Physics
• Relativistic Laser-Plasma Interactions
• +۷ مورد دیگر

Bengt Eliasson is a Professor in the Department of Physics at the University of Strathclyde, Faculty of Science, United Kingdom. He is an active researcher in theoretical and computational plasma physics, with strong affiliations to space and ionospheric research. His work spans relativistic laser-plasma interactions, quantum plasmas, and wave propagation in complex plasma environments. His research interests focus on the theory and simulations of waves and nonlinear structures in plasmas , including relativistic laser-plasma interactions , ionospheric physics and radio wave propagation , and quantum phenomena in plasmas . He also develops advanced Vlasov-Maxwell simulation codes , numerical models for wave propagation in the ionosphere and laboratory plasmas, and kinetic models of nonlinear water waves. His work has broad implications for space weather, satellite communications, and high-energy density physics. The recent publications highlight a consistent focus on wave generation, instabilities, and nonlinear dynamics across diverse plasma systems—from laser-driven electron-hole plasmas to ionospheric satellite interactions and quantum electrostatic shocks. His research combines high-performance computing with theoretical modeling to address fundamental and applied challenges in plasma science. Scientific Awards: Fellow of American Physical Society (2012) Prof. Eliasson leads significant research grants and projects, including the Space Object Identification with Measurements of Orbit Driven Waves (SOIMOW) funded by the Office of the Director of National Intelligence, and multiple EPSRC-funded Doctoral Training Partnerships. He actively supervises PhD students and collaborates internationally with institutions in the US and Russia. He serves on the editorial board of the journal Physics and regularly presents at major conferences as an invited speaker. He is involved in experimental collaborations such as those using EISCAT and mirror-confined plasma setups, and leads teams developing simulation tools for satellite-plasma interactions and artificial ionospheric layer formation.

Johannes Knolleمشاهده پروفایل

استاد

• Condensed Matter Physics
• Quantum Matter Theory
• Quantum Spin Liquids
• +۷ مورد دیگر

Professor Johannes Knolle holds the Professorship for Quantum Matter Theory and Nanophysics at the Technical University of Munich (TUM), within the TUM School of Natural Sciences, Department of Physics. His research focuses on understanding complex emergent behavior in condensed matter systems arising from interactions between many simple components. His work addresses fundamental questions about new quantum phases of matter and their potential applications in quantum technology. Knolle's research interests span condensed matter physics , quantum spin liquids , Kitaev models , and Majorana fermions . His work explores how exotic quantum properties can be harnessed for materials research and quantum technology applications. He has made significant contributions to understanding fractionalization, dynamical correlations, and material connections in quantum spin liquid systems. His recent publications (2021-2025) demonstrate a strong focus on quantum oscillations, topological magnon insulators, Kitaev honeycomb materials, and real-time dynamics in quantum systems. These works reveal trends toward understanding non-Fermi liquid behavior, topological quantum phenomena, and emergent quasiparticles in frustrated magnetic systems. Scientific awards: Charles & Katherine Darwin Research Fellow, Darwin College Cambridge (2015-18) Dissertation Prize SKM of the German Physical Society (DPG) (2015) International Springer Dissertation Award (2015) Doctoral scholarship from the German Academic Scholarship Foundation Fulbright Scholar (2007) Professor Knolle teaches advanced courses including Advanced Statistical Physics, Theory of Quantum Matter, and Journal Clubs on Quantum Matter. His academic journey includes a doctorate from the Max Planck Institute for the Physics of Complex Systems (2014), postdoctoral research at Cambridge University, and a lectureship at Imperial College London before joining TUM in 2019 as Associate Professor. His research contributes to Sustainable Development Goals related to clean energy and advanced materials.