جست‌وجوی استاد و پژوهشگر

• Numerical Analysis
• Applied Mathematics
• Computational Fluid Dynamics
• +۵ مورد دیگر

Stefan Vandewalle is a full professor at the Department of Computer Science, Faculty of Engineering Sciences, KU Leuven. His research focuses on numerical analysis, applied mathematics, and computational methods for stochastic differential equations, wind energy modeling, and uncertainty quantification. Department Chair, KU Leuven Member, Subdivision Numerical Analysis and Applied Mathematics Member, iSi Health Institute Observer, Faculty Council of Sciences Chair, Department Council for Computer Science His recent work explores multiscale modeling, Monte Carlo methods, and data assimilation techniques. Projects include micro-macro Parareal algorithms, wind turbine aeroelasticity, and turbulent flow reconstruction for wind farms. He supervises PhD candidates and collaborates on interdisciplinary studies involving structural mechanics and renewable energy systems. Publications highlight advancements in parallel-in-time methods, stochastic optimization for tokamak reactors, and DNS-based control of turbulent flows. Key keywords: Multiscale numerical methods Uncertainty quantification Wind energy simulation Monte Carlo algorithms PDE-constrained optimization Stochastic differential equations He contributes to academic governance as a member of extended faculty boards and evaluation committees.

• Fluid Dynamics
• Turbulence
• Heat Transfer
• +۶ مورد دیگر

Andrea Ianiro is a Full Professor in the Aerospace Engineering Department at Universidad Carlos III de Madrid (UC3M), where he leads research in fluid dynamics, turbulence, and heat transfer. His work bridges experimental techniques and machine learning applications for flow analysis and control. He serves as Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) and directs the EFM Lab (Experimental Fluid Mechanics Laboratory) at UC3M. Professor Ianiro's research focuses on turbulence characterization, boundary layer flows, and the application of machine learning to fluid mechanics problems. His work spans experimental techniques including Particle Image Velocimetry (PIV), infrared thermography, and advanced data processing methods. Recent research emphasizes data-driven approaches for flow field reconstruction, turbulence control, and heat transfer optimization in wall-bounded flows. His projects often combine theoretical, experimental, and computational approaches to address complex fluid mechanics challenges. The analysis of his recent publications reveals a strong trend toward integrating machine learning with traditional fluid mechanics. His work increasingly focuses on using deep learning techniques (particularly CNNs and GANs) for flow field prediction from limited measurements, developing meshless computational methods for flow analysis, and applying optimization techniques (including genetic algorithms) to heat transfer enhancement. His research maintains a strong experimental foundation while embracing data-driven approaches to tackle turbulence modeling challenges. Associate Editor of the International Journal of Heat and Mass Transfer (2025-2028) Professor Ianiro leads multiple significant research projects including SPANDRELS (SParse AND paRsimonious Event-based fLow Sensing, 2025-2030), HumanIC (Human-Centric Indoor Climate for Healthcare Facilities, 2024-2027), and EXCALIBUR (Extraction of machine learning strategies for turbulent flow control, 2023-2026). His work has attracted funding from the European Commission, Spanish National Research Agency, and industry partners including Airbus. He has supervised numerous theses on topics including AI-based sensing of turbulent flows, convective heat transfer control, and turbulent boundary layers. At UC3M, Professor Ianiro directs the Experimental Fluid Mechanics Laboratory (EFM Lab), which focuses on advanced measurement techniques for fluid flow and heat transfer characterization. The lab specializes in PIV/PTV techniques, infrared thermography, and the development of novel experimental approaches for turbulence research. Current research directions include machine learning applications for flow field reconstruction, plasma-based flow control, and heat transfer optimization in complex flow configurations.

Qin Liمشاهده پروفایل

دانشیار

• Numerical Analysis
• Scientific Computing
• Inverse Problems
• +۸ مورد دیگر

Qin Li is an Associate Professor in the Mathematics Department at the University of Wisconsin-Madison. She holds affiliations with the Wisconsin Institutes for Discovery and serves as a senior PI at the Institute for Foundations of Data Science. Her research focuses on numerical analysis, scientific computing, and inverse problems, with a strong emphasis on kinetic theory and multiscale PDEs. Her work spans computational methods for inverse transport and radiative transfer equations, Bayesian approaches in optical tomography, and optimization techniques for solving stochastic and deterministic PDEs. Recent publications highlight applications of diffusion models, Wasserstein gradient flow, and random sampling in inverse problems, as well as control theory for Vlasov-Poisson systems and reconstruction of chemotaxis kernels. She leads a research group within the Mathematics Department and has received funding from the National Science Foundation (NSF), the Office of Naval Research (ONR), and the Wisconsin Alumni Research Foundation (WARF). Her lab, Kinetic At Madison, explores nonlinear hyperbolic PDEs and their applications. She also contributes to teaching as a TA Supervisor.

• Aerospace Engineering
• Sustainable Aviation
• Hydrogen Propulsion Systems
• +۵ مورد دیگر

Phillip J Ansell is an Associate Professor in the Department of Aerospace Engineering at the University of Illinois. He serves as the Director of the Center for High-Efficiency Electrical Technologies for Aircraft (CHEETA), focusing on advancing sustainable aviation through innovative propulsion and energy systems. His research interests include aerodynamics optimization, hydrogen propulsion, electric aircraft integration, and cryogenic technologies. Ansell has received prestigious awards such as the AFOSR Young Investigator Award (2015), ARO Young Investigator Award (2017), and the Lawrence Sperry Award (2023), recognizing his contributions to sustainable aviation and flow control technologies. His work spans interdisciplinary areas like hydrogen fuel cell systems, airfoil design, and electrified aircraft architectures. Recent research emphasizes sustainable aviation frameworks, cryogenic hydrogen storage, and propulsion-airframe integration. Ansell has collaborated on projects involving distributed propulsion systems, wind energy optimization, and advanced plasma actuators for flow control. His leadership in CHEETA drives innovations in superconductivity and high-temperature superconducting components for next-generation aircraft. Notable contributions include studies on laminar flow control, transonic aerodynamics, and the technical challenges of integrating MW-scale hydrogen propulsion systems. His publications reflect a blend of theoretical modeling, experimental validation, and systems engineering approaches to address aviation's sustainability challenges.

Bei Fanمشاهده پروفایل

استادیار

• Thermal Fluid Science
• Electrokinetics
• Experimental Fluid Mechanics
• +۴ مورد دیگر

Bei Fan is an Assistant Professor in Mechanical Engineering at Michigan State University's College of Engineering. She holds a BS from University of Science and Technology of China (2015) and PhD from UC San Diego (2019). Her research spans thermal fluid science, electrokinetics, and surface engineering, with applications in energy conversion and sustainable technologies. Key research areas include: Electrokinetic streaming potentials and surface modulation Liquid-infused surfaces for drag reduction Acoustic manipulation technologies Solar thermal evaporation systems Anisotropic wetting phenomena She received multiple awards during her graduate studies including the MAE Outstanding Graduate Student Award (2019) at UCSD.

Gary Koenigمشاهده پروفایل

دانشیار

• Battery Materials
• Energy Storage
• Electrode Engineering
• +۱ مورد دیگر

Gary Koenig is Associate Professor of Chemical Engineering at the University of Virginia. His research program focuses on advanced materials for energy storage systems, particularly lithium-ion batteries and flow batteries. He holds a PhD from University of Wisconsin-Madison and completed postdoctoral research at Argonne National Laboratory. His group develops novel electrode architectures, including thick sintered electrodes and all-active-material designs, to improve battery energy density and rate capability. Research spans materials synthesis, electrochemical characterization, and transport modeling to overcome limitations in current energy storage technologies. Honors include the NSF CAREER Award (2017) and Fulbright Research Fellowship (2020). Recent publications examine electrode processing techniques, lithium extraction methods, and transport phenomena in battery systems. His work demonstrates innovations in electrode design that enable higher energy densities while maintaining cycling stability. He has taught courses including Applied Statistics, Chemical Reaction Engineering, and Energy Technology Options.

Jason Trelewiczمشاهده پروفایل

استاد

• Materials Science
• Nuclear Engineering
• Advanced Materials for Extreme Environments
• +۴ مورد دیگر

Jason Trelewicz is a Professor at Stony Brook University’s Department of Chemical & Molecular Engineering and holds joint faculty status at Oak Ridge National Laboratory. His research focuses on interface-engineered materials for extreme environments, leveraging advanced processing, characterization tools, and multiscale modeling. He received his Ph.D. in Materials Science from MIT (2008) and previously served as Research Director at MesoScribe Technologies. His work emphasizes fusion materials, nanocrystalline alloys, additive manufacturing, and radiation effects. Awards include the DOE Early Career Award (2017), NSF CAREER Award (2016), and multiple best paper awards (2022). His lab, the Engineered Microstructures and Radiation Effects Laboratory, explores topics like ceramic composite moderators and plasma-facing materials. Education: Ph.D., Materials Science & Engineering, MIT (2008) Affiliations: Oak Ridge National Laboratory (Joint Faculty) Key research areas include thermal-mechanical evaluation of fusion reactor components, alloy design for additive manufacturing, and radiation tolerance of nanocrystalline materials. He has pioneered studies on helium bubble dynamics in tungsten and stability of doped nanocrystalline alloys. Awards: DOE Early Career Award, NSF CAREER Award, 2022 Best Paper Awards in Nuclear Materials and Asian Ceramics. Grants/Projects: Supported by DOE, NSF, and collaborative initiatives with Japan (FRONTIER). His group investigates corrosion behavior in 3D-printed steels and develops novel composite moderators for high-temperature reactors. Ongoing work includes multiscale modeling for fusion materials and in-situ TEM studies of irradiation effects.

Stefano Markidisمشاهده پروفایل

استاد

• High-Performance Computing
• Quantum Computing
• Computational Fluid Dynamics
• +۵ مورد دیگر

Stefano Markidis is a Professor of Computer Science at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and the Digital Futures Faculty. He holds a Ph.D. from the University of Illinois at Urbana-Champaign and an MS from Politecnico di Torino. His research focuses on high-performance computing systems, including supercomputers and quantum computers, with expertise in plasma simulations, quantum algorithms, and scalable computational frameworks. Markidis leads the development of the Neko framework for high-fidelity computational fluid dynamics and the iPIC3D particle-in-cell code for plasma physics. He teaches courses such as Quantum Computing for Computer Scientists, High-Performance Computing, and Applied GPU Programming. His work addresses exascale computing challenges, including optimizing algorithms for GPUs, quantum systems, and distributed architectures. Key research interests include: Parallel Programming Models and HPC Frameworks Quantum Computing Applications in Scientific Simulations Physics-Informed Machine Learning Exascale System Optimization Turbulence Modeling and Plasma Dynamics His publications span over 100 articles in journals like Journal of Computational Physics and Scientific Reports , focusing on topics such as scalable CFD, quantum neural networks, and plasma simulation techniques. He has advised numerous students in these areas. Markidis collaborates with institutions like Los Alamos National Laboratory and RISE Research Institutes of Sweden through the Digital Futures initiative, aiming to solve societal challenges via digital technologies.

Hung Yew Munمشاهده پروفایل

دانشیار

• Heat Transfer
• Fluid Dynamics
• Micro-scale Heat Transfer
• +۴ مورد دیگر

Dr. Hung Yew Mun is an Associate Professor and Interim Head of the Mechanical Engineering program at Monash University Malaysia’s Malaysia School of Engineering. His expertise spans heat transfer, thermodynamics, and fluid dynamics, with a focus on micro-scale phenomena, phase-change heat transfer, and graphene-based materials. He teaches courses including MEC3454/MEC4408 (Thermodynamics and Heat Transfer) and MEC4416 (Momentum, Energy & Mass Transport). Dr. Hung’s research addresses advanced cooling solutions for electronics, energy storage, and sustainable materials. Education: PhD in Mechanical Engineering from University of Multimedia, Malaysia (2010). Research Interests: Micro-scale heat transfer, phase-change mechanisms, graphene nanostructures, and applications in thermal management. His work contributes to UN SDG goals related to affordable and clean energy (SDG7) and industry innovation (SDG9). Recent Projects: Includes studies on MXene-biochar composites for energy storage, graphene-enhanced devices for electronics cooling, and multiscale modeling of postharvest fruit water transport. He has led/co-investigated 12 projects since 2013, emphasizing interdisciplinary collaboration. Publications: Over 100 peer-reviewed articles, with recent focus on graphene-mediated heat transfer enhancement, plasma-activated cooling, and nanofluid applications. His work addresses both fundamental mechanisms and industrial applications. Labs/Teams: Active in thermal engineering and nanomaterials research groups, collaborating with institutions globally on sustainable energy and advanced materials.

• Chemical Looping
• Membrane Technology
• Carbon Dioxide Capture and Separation
• +۷ مورد دیگر

Professor Ian Metcalfe is a distinguished academic at Newcastle University, specializing in advanced materials for energy applications, particularly in the areas of membrane technology, chemical looping processes, and catalysis. His research spans multiple interdisciplinary fields with significant implications for carbon capture, hydrogen production, and sustainable energy systems. Professor Metcalfe's research primarily focuses on membrane technology for gas separation, particularly CO 2 capture and hydrogen production . His work extensively investigates chemical looping processes using various oxygen carrier materials, particularly perovskite-based materials . A significant portion of his recent research explores nanoparticle exsolution for creating highly stable and active catalysts. His research group has made notable contributions to understanding the thermodynamics of non-stoichiometric materials and developing novel membrane configurations for enhanced gas separation. Analysis of Professor Metcalfe's recent publications (2023-2025) reveals a strong focus on CO 2 separation technologies , particularly using molten-carbonate membranes with innovative support structures. His work on exsolution has expanded to include room-temperature processes using plasma techniques and applications in methane reforming. The research shows increasing emphasis on direct air capture technologies and ammonia synthesis via chemical looping, indicating strategic expansion into emerging energy storage and carbon utilization areas. Professor Metcalfe maintains extensive collaborations with researchers including Dr. Wenting Hu, Dr. Evangelos Papaioannou, Dr. Dragos Neagu, and Dr. Greg Mutch. His research has significant implications for decarbonization technologies and sustainable energy systems, particularly in hard-to-abate sectors where efficient CO 2 separation and clean hydrogen production are critical.

• Microfluidics
• BioMEMS
• Lab-on-a-Chip Technology
• +۱۱ مورد دیگر

Prof. Kwang W. Oh is a tenured Professor at the Department of Electrical Engineering and Department of Biomedical Engineering within the School of Engineering and Applied Sciences at University at Buffalo (SUNY at Buffalo) . He serves as the Director of Graduate Studies in Electrical Engineering and Director of SMALL (Sensors and MicroActuators Learning Lab) . His academic journey includes PhD and MS in Electrical and Computer Engineering from University of Cincinnati (2001, 1997) and BS in Physics from Chonbuk National University (1995). Prof. Oh's research expertise lies at the intersection of microfluidics , BioMEMS , and lab-on-a-chip technologies. His lab has pioneered vacuum-driven microfluidic devices , PDMS-based systems , droplet manipulation , and chemical-free fabrication techniques . His work enables point-of-care diagnostics , single cell analysis , and wearable medical sensors , with significant contributions to sample-to-answer nanosystems and world-to-chip interfacing . The scientific awards section highlights his excellence in teaching and research: SUNY Chancellor's Award for Excellence in Teaching (2020) Meyerson Award for Undergraduate Teaching (2019) Qualcomm Faculty Award (2019) Senior Teacher of the Year (2017) Royal Society of Chemistry's Emerging Investigators (2013) Samsung Electronics' CEO Honor (2003) His lab has produced numerous PhD and MS students including Dr. Anyang Wang (2020), Dr. Nikhila Nyayapathi (2020), Mr. Liam Christie (2021), and Dr. Domin Koh (2019). As a conference chair , he has organized symposia at NanoTech (2012-2026) and served as editorial board member for Sensors , Micromachines , and Biomedical Engineering Letters .

• DNA Nanotechnology
• Molecular Robotics
• Self-Assembling Nanostructures
• +۴ مورد دیگر

Dr. Shelley Wickham is an Associate Professor and ARC DECRA Fellow at the University of Sydney, holding joint appointments in the Schools of Chemistry and Physics. She serves as a Westpac Research Fellow and leads the DNA Nanotechnology Group at the Sydney Nano Institute. Dr. Wickham is also co-Champion of the Sydney Nano Institute Grand Challenge project in Molecular Nanorobotics for Health, co-lead of the School of Physics Grand Challenge on Nanoscale brain navigation for targeted drug delivery, and faculty mentor of the University of Sydney BIOMOD team. Bachelor of Science and Master of Science in Physics from University of Sydney PhD in Condensed Matter Physics from University of Oxford Postdoctoral Fellow at Harvard Medical School, Dana-Farber Cancer Institute, and Wyss Institute Dr. Wickham's research focuses on self-assembling nanotechnology and molecular robotics, particularly in the design and assembly of programmable nanostructures out of DNA. Her work spans applications in cell biology, materials science, and nanomedicine. Current research projects include design and synthesis of self-assembling DNA nanostructures, proto-cells made of DNA gels that move under flow, new plasma fabrication methods for biomolecule micropatterning, and DNA computation circuits for navigating the brain using machine learning. Her research aligns with the Faculty of Science Research Strengths in Molecules to Materials, Preventing and Treating Disease & Disorder, and Next Generation Materials. Analysis of Dr. Wickham's recent publications reveals a consistent focus on DNA nanotechnology with increasing sophistication in structural complexity and biological applications. Her work has evolved from fundamental DNA origami structures to increasingly complex multi-component systems with practical applications in nanomedicine and biomimetic engineering. Recent publications show strong interdisciplinary collaboration across chemistry, physics, biology, and engineering disciplines, with emphasis on real-world applications including drug delivery systems and biomolecular sensors. ARC DECRA Fellow Westpac Research Fellow BIOMOD World Champions (2019) Dr. Wickham actively mentors PhD students and postdoctoral researchers in her DNA nanotechnology group. She has secured significant research funding including ARC Discovery Projects, Westpac Scholarships, and NSW Health grants. Her current grants support projects such as '3D Bio-Nanomaterial Displays with Designer Architectures and Functions' and 'RNA aptamer sensing devices for rapid detection of blood clotting.' Dr. Wickham encourages applications from diverse backgrounds and maintains active collaborations with researchers at Harvard, Oxford, and other international institutions. Dr. Wickham leads the DNA Nanotechnology Group at the University of Sydney, which is part of the Sydney Nano Institute. Her lab focuses on building tools from DNA origami - including tweezers, spanners, wrenches and springs - to better understand biological processes at the nanoscale. The group has achieved notable success with the BIOMOD team winning world championships in 2019, and continues to develop innovative approaches to molecular robotics for healthcare applications.

David A. Hammerمشاهده پروفایل

استاد

• Plasma Physics
• High Energy Density Plasma Physics
• Nuclear Energy Engineering
• +۱۲ مورد دیگر

David A. Hammer is the J. Carlton Ward, Jr., Professor of Nuclear Energy Engineering and Professor of Electrical and Computer Engineering at Cornell University's College of Engineering. He has been a faculty member since 1977 and has held visiting positions at Imperial College London, Applied Materials, Inc., and the Paris Observatory. His work bridges nuclear engineering, plasma physics, and electromagnetics. His research focuses on high energy density plasmas generated by pulsed power systems, particularly through wire explosions, X-pinches, and gas-puff Z-pinches. Key areas include inertial confinement fusion, magneto-Rayleigh-Taylor instabilities, and plasma diagnostics using visible and X-ray spectroscopy, laser-based methods, and electro-optical instruments. He also explores the application of X-pinch radiation for biomedical radiography. His recent publications reveal a strong emphasis on Z-pinch and hybrid X-pinch dynamics, plasma turbulence, magnetic field diagnostics using Faraday rotation and Zeeman splitting, and the development of advanced imaging and spectroscopic techniques. His work frequently involves the COBRA pulsed-power generator and addresses fundamental questions in plasma stability, implosion dynamics, and radiative collapse. Distinguished Career Award, Fusion Power Associates Board of Directors (2018) Cornell College of Engineering Teaching Award (2006, 1998) Cornell IEEE Professor of the Year Award (2006) McCormack Advising Award (2005) IEEE Plasma Science and Applications Committee Award (2004) Hammer has advised numerous graduate students and led experimental campaigns involving plasma diagnostics, liner implosions, and laboratory astrophysics. His work is supported by grants from agencies interested in fusion energy, plasma science, and advanced diagnostics. He has developed innovative platforms, including 3D-printed plasma loads, to study turbulent plasma jets and magnetization. His lab at Cornell is a key facility for high-energy-density plasma research. He leads a research group focused on plasma diagnostics and pulsed power experiments, operating the COBRA generator and developing novel measurement techniques. His team investigates plasma instabilities, magnetic field generation, and the transition from radial implosions to collimated jets, with implications for both fusion and astrophysics.

• Hypersonics
• Fluid Dynamics
• Thermodynamics
• +۴ مورد دیگر

Ingo Jahn is a Professor at The University of Queensland's School of Engineering. His academic career spans roles including R&D at Rolls-Royce (2007–2012) and academic positions at The University of Queensland (2012–2022). He holds an MEng (Oxford, 2005) and PhD (Oxford, 2011). Education: MEng in Engineering, University of Oxford (2005) PhD in Aerospace Engineering, University of Oxford (2011) Research Interests: Hypersonics: vehicle design, glide trajectory optimization, and aerothermodynamics Fluid Dynamics: computational methods, turbulence, and flow control Control Systems: model predictive control and co-design frameworks Thermodynamics: heat transfer in supercritical CO2 cycles and thermal protection systems His work bridges theoretical and experimental approaches, with a focus on hypersonic vehicle integration and propulsion systems. Publications: Recent articles emphasize hypersonic vehicle co-design, fluid-structure interaction, and experimental methods. Key themes include trajectory optimization, thermal management, and advanced simulation techniques. Grants & Awards: No awards explicitly listed, but extensive industry collaboration (e.g., Rolls-Royce) and leadership in high-impact projects indicate significant recognition. Supervision: Currently supervising 8 doctoral students on topics like hypersonic co-design, unstart prevention in ramjets, and scramjet trajectory optimization. Affiliations: Institute for Advanced Engineering and Space Sciences, AIAA, ASME. Active in conferences like AIAA SciTech and Global Power and Propulsion Society events.

• Combustion Engineering
• Aerospace Propulsion
• Thermodynamics
• +۳ مورد دیگر

Carson Slabaugh is an Assistant Professor in the Department of Aeronautics and Astronautics and holds a courtesy appointment in the Department of Mechanical Engineering at Purdue University. His research focuses on advanced propulsion systems, particularly combustion dynamics in rotating detonation engines (RDEs), rocket combustors, and ramjet configurations. He leads studies on high-pressure flames, laser diagnostics, and fuel injection mechanisms. Key research areas include detonation wave propagation, pressure gain combustion, and the application of advanced optical diagnostics (e.g., CARS, PLIF) to study transient phenomena in extreme environments. His work addresses challenges in next-generation propulsion systems, including hydrogen-blend fuels, methane-oxygen rocket ignition, and solid-fuel ramjet performance. Recent studies emphasize geometric optimization of RDEs, fuel injection dynamics under detonation conditions, and the impact of flow parameters on combustion stability. Collaborations involve experimental validation with high-speed imaging and computational fluid dynamics (CFD) modeling to bridge theoretical predictions with real-world performance. Slabaugh’s laboratory develops novel diagnostic tools for megahertz-rate imaging of mixing and combustion processes, advancing understanding of transient flame structures and instability mechanisms. His contributions aim to improve efficiency and operability of propulsion systems for aerospace and terrestrial applications.