جست‌وجوی استاد و پژوهشگر

David Salacمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Material Systems with Moving Interfaces
• Numerical Methods
• +۲ مورد دیگر

David Salac, PhD, is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the University at Buffalo, part of the School of Engineering and Applied Sciences. His research focuses on computational fluid dynamics, material systems with moving interfaces, numerical methods, directed self-assembly, and high performance computing. He holds a PhD and MS from the University of Michigan (2007) and a BS from Michigan Technological University (2002). Education: PhD in Mechanical Engineering, University of Michigan, 2007 MS in Mathematics, University of Michigan, 2007 BS in Mechanical Engineering, Michigan Technological University, 2002 His research interests span computational modeling of fluid-structure interactions, vesicle dynamics, and advanced material systems. He has developed numerical methods for partial differential equations and explored applications in biophysics and materials science. Recent work includes studies on microplastic transport, ceramic matrix composites, and membrane physics. Salac has received the NSF CAREER Award (2013) for his work on electrohydrodynamics of vesicles. His publications emphasize interdisciplinary approaches to fluid dynamics and materials science challenges. His advising and grants include contributions to NSF-funded research and collaborative projects in computational engineering. He maintains active research in labs focusing on computational mechanics and soft matter systems.

• Fluid Dynamics
• Microfluidics
• Biophysics
• +۳ مورد دیگر

Bin Liu is an Associate Professor in the Department of Physics at the University of California Merced. His research focuses on fluid dynamics, microfluidics, and active matter systems, with emphasis on bacterial motility, geometric control of fluid flows, and origami-based mechanics. He explores applications in biomedical engineering and material science through innovative microfluidic device designs and theoretical frameworks. His work integrates experimental and computational approaches to study phenomena such as symmetry-protected flows, bacterial behavior in structured environments, and topological properties of origami metamaterials. Liu’s contributions bridge physics, engineering, and biology, addressing challenges in lab-on-a-chip technologies and active matter systems. Key research topics include stress-free microfluidic manipulation, size-dependent transport in micropillar arrays, and the dynamics of bacterial aggregates. His studies often reveal how geometric and symmetry principles can be leveraged to control fluid flows and microbial behavior at microscopic scales.

Sudip Sealمشاهده پروفایل

استاد

• Scalable Algorithms
• High-Performance Computing
• AI/ML Workloads
• +۴ مورد دیگر

Dr. Sudip Seal is a Joint ORNL-UT Faculty in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, and leads the Systems and Decision Sciences Group at Oak Ridge National Laboratory (ORNL). He holds dual PhDs in Computer Engineering (Iowa State University) and Theoretical High Energy Physics (New Mexico State University). His expertise spans scalable algorithms, AI-driven methods for large-scale science, and high-performance computing. He has led over $55M in multidisciplinary projects and currently leads the FORESEE initiative for extreme-scale computing ecosystems. Education: PhD in Computer Engineering, Iowa State University, 2007 PhD in Theoretical High Energy Physics, New Mexico State University, 2002 Research Interests: Design and optimization of scalable algorithms for extreme-scale scientific computing, AI/ML workloads, parallel simulations, architecture-aware algorithms, numerical methods, computational fusion and materials science, and energy-efficient computing. Awards: Best Paper Award (ACM SIGSIM PADS 2024) Paramount Accomplishment Award (ORNL 2024) Significant Event Awards (ORNL 2017 & 2014) Multiple Best Paper Finalist/Runner-up recognitions (2010–2024) Indian Government Fellowships (NTPC, UGC, CSIR) Leadership & Grants: Principal Investigator (PI) and Co-PI for multi-million dollar projects, including the ExaLearn Co-design Center. Leads ORNL's CCSD LDRD FORESEE initiative. Serves as Associate Editor for the Journal of Parallel and Distributed Computing and chairs major HPC conference committees. Labs/Teams: Systems and Decision Sciences Group (ORNL), collaborating with the Computer Science and Mathematics Division on foundational HPC research.

Börge Göbelمشاهده پروفایل

پژوهشگر

• Condensed Matter Physics
• Topological Spin Textures
• Skyrmions
• +۹ مورد دیگر

Börge Göbel is a postdoctoral researcher at the Institute of Physics, Martin Luther University Halle-Wittenberg, within the Quantum Theory of the Solid State group led by Prof. Ingrid Mertig. He is affiliated with the Faculty of Natural Sciences II - Chemistry, Physics and Mathematics and conducts theoretical research in condensed matter physics, focusing on topological spin textures and their applications in spintronics and orbitronics. PhD in Physics (summa cum laude, 2020), Max Planck Institute Halle MSc in Physics (1.1, 2016), Martin Luther University Halle-Wittenberg BSc in Physics (1.2, 2014), Martin Luther University Halle-Wittenberg Abitur (1.0, 2011) His research centers on the interplay between topology and transport in magnetic systems, particularly skyrmions, antiskyrmions, bimerons, and hopfions. He investigates their stability, emergent electrodynamics (e.g., topological Hall effect), and dynamics under current drive, with applications in racetrack memory, neuromorphic computing, and quantum devices. A major focus is on two-dimensional materials and electron gases, where he studies spin- and orbital-to-charge interconversion. He has pioneered work in orbitronics, demonstrating the orbital Hall effect accompanying the quantum Hall effect and topological orbital Hall effects in skyrmion systems. The most recent publications show a strong trend toward the exploration of orbital angular momentum in quantum transport, the stabilization of skyrmions in van der Waals materials, and the development of neuromorphic computing concepts using biskyrmions. His work bridges fundamental theoretical insights with potential technological applications in next-generation electronics. Börge Göbel is funded by the EIC Pathfinder OPEN Grant "Orbital engineering for innovative electronics" and is a co-supervisor in the EU Horizon 2020 project "SPEAR". He has co-supervised 2 PhD, 2 master's, and 4 bachelor's students and teaches quantum mechanics, including online courses with over 30,000 participants. Co-PI, EIC Pathfinder OPEN Grant: "Orbital engineering for innovative electronics" Co-Supervisor, EU Horizon 2020 project "SPEAR" Network Postdoc, EU project "OBELIX" He collaborates extensively with experimental groups worldwide, including those of Prof. Stuart Parkin, Prof. Claudia Felser, Dr. Manuel Bibes, and Prof. Albert Fert, and has presented at major conferences such as MMM, JEMS, Gordon, DPG, and SPICE.

Luis G. Arboledaمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Soil-Structure Interaction
• Geotechnical Earthquake Engineering
• +۷ مورد دیگر

Luis G. Arboleda is an Associate Professor in the Department of Civil, Environmental and Construction Engineering at the University of Central Florida, College of Engineering and Computer Science. His research expertise spans geotechnical engineering, soil-structure interaction, numerical modeling, and earthquake engineering, with a focus on infrastructure resilience and underground construction. Education: Ph.D. in Geotechnical Engineering, Northwestern University, 2014 M.S. in Structural Engineering, Purdue University, 2006 B.S. in Civil Engineering, National University of Colombia, 2004 Dr. Arboleda's research interests include soil-structure interaction, geotechnical earthquake engineering, soil liquefaction, constitutive modeling of soils and rocks, field and laboratory testing, and sinkhole geomechanics. His work integrates advanced numerical simulations with experimental validation to improve the analysis and design of geostructures such as deep excavations and foundations. He has made significant contributions to understanding the nonlinear-inelastic behavior of soil and structures under seismic and construction loads. The trend in his recent publications reflects a strong emphasis on numerical modeling of soil-structure systems, particularly in deep excavations and tall buildings subjected to seismic and dynamic loading. His work bridges geotechnical and structural engineering, advancing predictive capabilities for ground deformations, soil response, and structural performance. Key themes include nonlinear modeling, field validation, and performance-based design under extreme events. Scientific Awards: Outstanding Reviewer, Journal of Geotechnical and Geoenvironmental Engineering (ASCE), 2021 Fellowship, Second Early Career Workshop for Junior Geotechnical Faculty, Case Western Reserve University, 2018 Dr. Arboleda actively advises graduate students and contributes to major research initiatives, including infrastructure protection from hurricanes. He has led and co-authored numerous studies on excavation-induced movements, seismic soil-structure interaction, and constitutive modeling. His prior industry experience at Janssen and Spaans Engineering Inc. informs his applied research on bridge and infrastructure systems. He is involved in research teams focusing on geotechnical performance, numerical simulation, and infrastructure resilience. His lab work includes laboratory testing of soils and advanced numerical modeling using finite element and hypoplasticity frameworks.

Panagiotis Dimitrakopoulosمشاهده پروفایل

دانشیار

• Computational Fluid Dynamics
• Multiphase Flows
• Mesoscale Polymer Dynamics
• +۳ مورد دیگر

Panagiotis (Panos) Dimitrakopoulos is an Associate Professor in the Department of Chemical & Biomolecular Engineering at the University of Maryland, College Park. His research focuses on computational fluid dynamics, multiphase flows, and biophysical systems. He specializes in modeling elastic capsules, microfluidic devices, and polymer dynamics using advanced numerical algorithms. His work intersects fluid mechanics, biomedical engineering, and materials science. He has developed spectral boundary element methods for interfacial dynamics and contributed to understanding capsule deformation in microfluidic environments. His studies address drug delivery systems, microfluidic sorting mechanisms, and hemodynamic forces in biological systems. Key applications include designing next-generation drug carriers and analyzing blood cell mechanics in microcirculation. Notable contributions include analyzing elastic capsule migration in converging micro-capillaries, multi-compartment micro-capsule fabrication, and non-Newtonian fluid dynamics in confined geometries. His research spans from theoretical fluid mechanics to biomedical applications, emphasizing computational modeling and experimental validation.

Henrik Jeldtoft Jensenمشاهده پروفایل

استاد

• Complexity Science
• Statistical Mechanics
• Mathematical Physics
• +۷ مورد دیگر

Henrik Jeldtoft Jensen is a Professor of Mathematical Physics and leads the Centre for Complexity Science at Imperial College London. His work spans multiple disciplines, focusing on the statistical mechanics of complex systems, with applications in physics, biology, neuroscience, and finance. Professor, Mathematical Physics Leader, Centre for Complexity Science Institution: Imperial College London His research interests lie at the intersection of theoretical physics and complex systems. He is best known for developing the Tangled Nature Model of evolving ecosystems, which has been extended into financial modeling through the Tangled Finance approach. His work in brain dynamics involves analyzing fMRI and EEG data using tools from statistical physics. He has made significant contributions to self-organized criticality and stochastic dynamics of complex systems, particularly in condensed matter and evolutionary contexts. The recent publications reflect a strong trend toward interdisciplinary complexity science, integrating concepts from physics, biology, economics, and neuroscience. Keywords across these works include complexity, statistical mechanics, dynamical systems, and network theory, with subfields ranging from neural avalanches to financial instability and biodiversity modeling. Henrik Jensen is the author of two influential books: Self-Organized Criticality and Stochastic Dynamics of Complex Systems (with Paolo Sibani), which have been widely cited across disciplines. He has supervised numerous PhD and postdoctoral researchers through the Centre for Complexity Science, though specific names are not listed. His research has been supported by grants from UK research councils and international collaborations, particularly in interdisciplinary complexity projects. He is affiliated with the Centre for Complexity Science, a multidisciplinary research hub at Imperial College London that brings together physicists, mathematicians, biologists, and social scientists to study complex adaptive systems.

James Dickensمشاهده پروفایل

استاد

• Pulsed Power Engineering
• High-Power Microwaves
• Explosive Pulsed Power
• +۵ مورد دیگر

James Dickens is a Professor at the Whitacre College of Engineering , Texas Tech University , where he also serves as the Charles Bates Thornton Professor and Co-Director of the Center for Pulsed Power and Power Electronics (P3E) . He holds a PhD (1995), MS (1993), and BS (1991) in Electrical Engineering from Texas Tech University, and is a registered Professional Engineer in Texas. Research Interests: Grounding & Shielding, Explosive Pulsed Power, High-Power Microwaves, Electric Space Propulsion, Aerospace Electronics Key Contributions: Development of semiconductor opening switches, investigation of gas insulation performance, optimization of nonlinear transmission lines, and analysis of multipactor phenomena in waveguides Awards: Fellow of the Japanese Society for the Promotion of Science (1996) His recent publications focus on solid-state switching technologies , high-voltage gas insulation , and multipactor suppression in microwave systems. His work bridges theoretical modeling (LTspice, ANSYS Maxwell) with experimental validation in extreme environments, including studies on explosive emission cathodes, nanocrystalline transformer cores, and vacuum insulator flashover physics.

• Differential Algebra
• Model Theory
• Number Theory
• +۷ مورد دیگر

James Freitag is a Professor in the Department of Mathematics, Statistics, and Computer Science at the University of Illinois at Chicago (UIC). He earned his PhD from UIC in 2012, specializing in Model Theory and Differential Algebraic Geometry . Prior to his current role, he held postdoctoral positions at UC Berkeley and UCLA and served as a research member at the Mathematical Sciences Research Institute (MSRI) and Fields Institute. His research integrates model theory , differential algebra , and number theory , with recent emphasis on functional transcendence, geometric stability theory, and applications to machine learning. Key themes include: Strong minimality in differential equations and stability theory Ax-Lindemann-Weierstrass theorems for Fuchsian groups Combinatorial and algorithmic aspects of query learning His publications (2017–2025) predominantly explore differential-algebraic geometry, model-theoretic classification, and computational learning. Recurring topics include Painlevé equations, Littlestone dimension, nonminimality bounds, and geometric invariants in differential systems. He advises doctoral students in differential algebra and machine learning and directs the Young Scholar Program —a summer camp for Chicago high school students. His research is funded by NSF grants, including CAREER #1945251 and #2452197.

Denis DUHAMELمشاهده پروفایل

استاد

• Mechanical Engineering
• Civil Engineering
• Structural Acoustics
• +۴ مورد دیگر

Denis Duhamel is a Professor and researcher at the Navier Laboratory, affiliated with École des Ponts ParisTech. He teaches mechanics courses at École nationale des ponts et chaussées and previously lectured at École Polytechnique. He earned his doctorate from École des Ponts ParisTech (1994) and research accreditation from University of Marne la Vallée (1998). His research focuses on structural acoustics, railway dynamics, tire-road noise, and numerical modeling of vibrations using Wave Finite Element (WFE) methods. Key areas include railway track dynamics, vibration control, and acoustic barrier performance. Notable projects involve dynamic analysis of periodic structures like railway tracks and metamaterials. Recent publications (2020–2025) emphasize wave-based methods for periodic structures, nonlinear foundation modeling, and in-situ measurements of acoustic barriers. His work bridges theoretical models with practical applications in transportation and structural engineering. Lab affiliations include the Navier Laboratory, a leading center for mechanics and materials research. He collaborates on projects like DEUFRABASE for pavement noise evaluation and ODSurf for optimized road surface design.

• Vibrations and Nonlinear Dynamics
• Smart Material Systems
• Non-Pneumatic Tires
• +۸ مورد دیگر

James Gibert is an Associate Professor of Mechanical Engineering at Purdue University's West Lafayette School of Mechanical Engineering. His research focuses on vibrations and nonlinear dynamics, smart material systems, non-pneumatic tires, optimization of mechanical systems, and additive manufacturing. He holds a B.S., M.S., and Ph.D. from Clemson University (2002-2009). His work spans fundamental dynamics, material behavior, and applications in transportation and energy harvesting. Key research contributions include studies on ultrasonic additive manufacturing dynamics, viscoelastic materials for cushioning, and nonlinear energy harvesting systems. His awards include the Emerald Engineering Outstanding Doctoral Award (2012) and NSF fellowships. Recent publications explore bistable systems, metamaterials, and advanced robotics. Awards highlight his academic and research excellence, including recognition for doctoral work and impactful papers on ultrasonic consolidation dynamics. His advising and grants focus on mechanical systems optimization and advanced manufacturing technologies. Ongoing efforts involve collaborative projects on energy-efficient materials and smart systems integration.

Enrico Da Comoمشاهده پروفایل

دانشیار

• Condensed Matter Physics
• Quantum Materials
• Charge Density Wave
• +۷ مورد دیگر

Dr. Enrico Da Como is a Reader (equivalent to Associate Professor) in the Department of Physics at the University of Bath, UK, where he has been since 2012. He serves as Head of the Condensed Matter and Quantum Materials Group and is affiliated with the Centre for Photonics and Photonic Materials. His research focuses on the interaction of light with condensed matter systems, particularly using advanced spectroscopic techniques to study fundamental excitations in quantum materials. His academic journey includes: University Assistant (W1) at the Department of Physics, LMU Munich (Germany), 2008-2012 Visiting Scientist at the Department of Physics, University of Utah (USA), 2008 Post-Doc at the Photonics and Optoelectronics Group, LMU Munich (Germany), 2006-2007 PhD from C.N.R. and University of Bologna (Italy), 2003-2006 MSc from University of Modena (Italy), 2002 Da Como's research primarily investigates the interaction of light with condensed matter, with a focus on fundamental excitations such as excitons, plasmons, polarons and phonons in molecular solids and nanostructures. His work employs a range of experimental techniques from single molecule spectroscopy to femtosecond nonlinear optical methods. This fundamental research is complemented by collaborations with industry partners exploring applications in solar energy conversion, sensing technologies, and information systems. His current research emphasizes charge density wave materials, quantum phase transitions, and the development of novel spectroscopic approaches to probe non-equilibrium states in quantum materials. Analysis of his most recent publications reveals a strong focus on charge density wave systems, particularly 1T-TaSe 2 and related materials. His work combines ultrafast spectroscopy with theoretical modeling to understand the interplay between electronic, lattice, and magnetic degrees of freedom in quantum materials. A significant portion of his research investigates non-equilibrium phenomena, using light to induce and probe metastable states in quantum materials, with potential applications in next-generation electronic and optoelectronic devices. Da Como has secured significant research funding from prestigious organizations: Principal Investigator for "New quantum platforms for nanomagnetic sensing in 2D" (UK Research & Innovation, 2025-2027) Principal Investigator for "Light induced metastable phases in quantum materials" (The Royal Society, 2022-2025) Principal Investigator for "Controlling Charge Density Waves with Light and 2D Self Assembly" (The Royal Society, 2017-2019) Co-Investigator for "Pyroelectric water splitting and water treatment using ferroelectric materials" (The Leverhulme Trust, 2019-2021) As an active supervisor, Da Como is accepting doctoral students and has supervised 10 research projects. His laboratory combines advanced optical techniques with low-temperature and high-pressure methodologies to probe quantum materials under extreme conditions. His group collaborates extensively with researchers across Europe and the United States, contributing to the international effort to understand and harness quantum phenomena for future technologies.

Seunghwan Shinمشاهده پروفایل

پژوهشگر

• Fluid Dynamics
• Polymer Science
• Rheology
• +۳ مورد دیگر

Dr. Seunghwan Shin is a postdoctoral researcher at ETH Zurich's Department of Mechanical and Process Engineering, affiliated with the Institute of Fluid Dynamics and working within Prof. Filippo Coletti’s group . His research spans fluid dynamics, polymer science, and biophysics, with a focus on multiphase flows, shear-banding in entangled polymers, and bacterial motility in complex fluids. Bachelor’s Degree : Chemical & Biological Engineering from Seoul National University (minor in Economics) PhD : Chemical Engineering at the University of Minnesota under Prof. Xiang Cheng and Prof. Kevin D. Dorfman His work explores turbulent suspensions , polymer microstructure , and active matter systems , combining experimental and rheological approaches. Publications emphasize quasi-2D turbulence , shear-banding , and colloidal media interactions in both synthetic and biological systems. The 15 most recent articles highlight trends in non-Newtonian fluid behavior , DNA-polymer dynamics , and enhanced motility mechanisms , with subfields spanning viscoelastic flows , microscale transport , and active colloids . He is part of the Coletti Group at ETH Zurich, advancing research on fluid dynamics and complex media.

James Baishمشاهده پروفایل

استاد

• Biomedical Engineering
• Biological Heat and Mass Transport
• Biological Fluid Mechanics
• +۱ مورد دیگر

James Baish is a Professor of Biomedical Engineering at Bucknell University. His research focuses on biological heat and mass transport, fluid mechanics, and the origins of biological form. He has contributed significantly to understanding cancer angiogenesis, lymphatic system dynamics, and transport phenomena in biological tissues. B.S.M.E, Bucknell University, 1979 M.S.E, University of Pennsylvania, 1983 Ph.D., University of Pennsylvania, 1986 Baish's work spans mathematical modeling of angiogenesis, thermal conductivity in biomaterials, and mechanobiological control of lymphatic pumping. His publications highlight interdisciplinary approaches combining engineering principles with biomedical applications.

• Fluid-Structure Interaction
• Isogeometric Analysis
• Nonlinear Structural Mechanics
• +۲ مورد دیگر

Thomas Spenke is a Researcher at the Chair for Computational Analysis of Technical Systems (CATS) within RWTH Aachen University's Center for Computational Engineering Science. He joined the research team in October 2017 after completing his master's degree in Computational Engineering Science at RWTH Aachen, where his academic journey began in 2011 with early engagement in CATS through a 2014 project thesis on isogeometric shell elements. His educational background includes: Studies in Computational Engineering Science at RWTH Aachen University (2011–2017) Bachelor and seminar theses on isogeometric shell elements for fluid-structure interaction Master thesis on numerical methods enhancing partitioned fluid-structure interaction algorithms Dr. Spenke's research spans Fluid-Structure Interaction , Isogeometric Analysis , Nonlinear Structural Mechanics (specializing in Shell Theory), and Interface Quasi-Newton Methods . His work develops efficient computational frameworks for multi-physics problems, emphasizing partitioned approaches that decouple fluid and structural solvers while ensuring stability and convergence through advanced acceleration techniques. His 9 publications (2020–2024) reveal a consistent focus on optimizing partitioned fluid-structure interaction simulations. Key trends include quasi-Newton acceleration for interface coupling, adaptive time-stepping strategies, and spline-based space-time finite elements for moving domains. His research frequently addresses challenges in fully enclosed systems and lubricated contact scenarios, demonstrating strong interdisciplinary links between computational mathematics and mechanical engineering. As an academic advisor, Dr. Spenke has supervised four student projects: J. Zwar (2019): Adaptive time stepping for fluid-structure interaction J. Spatka (2020): Fluid-structure-contact interaction in lubricated temper rolling M. Velioglu (2021): Space-time spline-based finite elements for moving domains S. Woyda (2023): Adaptive time stepping for multi-field problems The Chair for Computational Analysis of Technical Systems operates within RWTH Aachen's Center for Computational Engineering Science, founded by Professor Marek Behr in 2004. Located in the Rogowski building since 2009, CATS focuses on computational methods for engineering systems with expertise in fluid dynamics, structural mechanics, and multi-physics coupling algorithms.