جست‌وجوی استاد و پژوهشگر

Ali Nadimمشاهده پروفایل

استاد

• Fluid Dynamics
• Mathematical Modeling
• Scientific Computing
• +۴ مورد دیگر

Ali Nadim is a Full Professor at Claremont Graduate University's Institute of Mathematical Sciences, Department of Physical Applied Mathematics. He holds a PhD in Chemical Engineering from MIT (1986) and has held prior appointments as Assistant Professor at MIT (1986–1991), Associate Professor at Boston University (1991–2001), and dual roles at Keck Graduate Institute (bioengineering) and CGU (applied mathematics) since 2001. Education: BS Chemical Engineering (UC Davis), PhD (MIT). Affiliations: Claremont Graduate University (2001–present), Keck Graduate Institute (2001–2010), Boston University (1991–2001). His research focuses on fluid dynamics, mathematical modeling, and scientific computing, with applications in biomedical engineering (e.g., alveolar surfactant dynamics, lab-on-chip devices) and multiphase flow systems. Notable contributions include: Thin film dynamics on rotating spheres and fibers. Electrowetting-driven microfluidic mixing. Modeling p53 signaling pathways in response to DNA damage. Mathematical analysis of bubbly liquids and viscoelastic drops. He has pioneered methods for simulating blood flow in arterial systems and contributed to patents on rapid lysis devices for nucleic acid diagnostics. His work bridges applied mathematics, engineering, and biomedicine, with over 150 peer-reviewed publications and extensive grant-funded research.

Ivan Fernandez-Corbatonمشاهده پروفایل

پژوهشگر

• Electromagnetic radiation
• Light-matter interactions
• Symmetries and conservation laws
• +۵ مورد دیگر

Ivan Fernandez-Corbaton is a Project Leader and Staff Scientist at the Institute of Nanotechnology, Karlsruhe Institute of Technology (KIT), where he leads research in the Theoretical Nanooptics unit. His position focuses on fundamental electromagnetic theory with applications in nanophotonics and metamaterials. His research centers on the systematic use of electromagnetic duality symmetry and its conserved quantity, electromagnetic helicity, to treat electromagnetic polarization degrees of freedom. This approach provides insights and design guidelines across diverse areas including zero backscattering, optical activity, metamaterials for transformation optics, and nanophotonic phenomena involving electromagnetic angular momentum. His work bridges theoretical physics with practical applications in chiral sensing, thermal radiation control, and light structuring technologies. Analysis of his recent publications reveals a strong focus on computational methods for electromagnetic problems, particularly the T-matrix formalism extended to polychromatic fields and complex geometries. His research increasingly integrates multi-scale approaches connecting quantum chemical simulations with classical electromagnetic modeling, especially for molecular nanomaterials and chiral structures. The work shows consistent theoretical depth with practical applications in sensing, light manipulation, and thermal radiation control. As a Staff Scientist, Fernandez-Corbaton collaborates extensively within KIT's Carsten Rockstuhl's Lab and with international partners. His research has significant implications for chiral molecule detection, photonic device design, and fundamental electromagnetic theory. He maintains active publication output with numerous preprints available on arXiv and ResearchGate, reflecting his commitment to open scientific communication.

• Computational Fluid Dynamics
• Fluid-Structure Interaction
• Computational Structural Dynamics
• +۱۲ مورد دیگر

Dr.-Ing. Norbert Hosters is a Research Associate and Chief Engineer at the Chair for Computational Analysis of Technical Systems (CATS), Faculty of Mechanical Engineering, RWTH Aachen University. He has been active since 2020 and serves as General Secretary of the German Association for Computational Mechanics (GACM). His work bridges advanced computational methods with engineering applications. His research focuses on numerical methods for fluid-structure interaction , computational fluid and structural dynamics , isogeometric analysis , and aerothermoelasticity . He also explores applied quantum methods and physics-informed neural networks for solving complex PDEs and optimizing industrial processes. His interdisciplinary work spans mechanical, biomedical, and computational engineering. The recent publications (2023–2025) demonstrate a strong trend toward integrating machine learning with traditional simulation techniques, particularly in partitioned FSI , multiphase flow , shape optimization , and biomedical simulations such as LVAD modeling. His work appears in high-impact journals like Scientific Reports , Computers & Fluids , and International Journal for Numerical Methods in Engineering , as well as major conferences including GACM and CMBE. He is actively involved in teaching courses on Numerical Methods for Fluid-Structure Interaction , Isogeometric Analysis , and Simulation Methods in Mechanical Engineering . He offers student projects and supervises research, though no named advisees are listed. He has no listed scientific awards or fellowships. His research is conducted within the CATS chair, a leading group in computational mechanics, contributing to both fundamental methods and industrial applications. He plays a key role in academic service through GACM leadership.

Slim Ibrahimمشاهده پروفایل

استاد

• Applied Mathematics
• Analysis of Partial Differential Equations
• Mathematical Physics
• +۲ مورد دیگر

Slim Ibrahim is a Professor in the Department of Mathematics and Statistics at the University of Victoria. He holds a PhD from the University of Tunis. His research focuses on Applied Mathematics, particularly the Analysis of Partial Differential Equations, with emphases on Nonlinear PDEs from Quantum Mechanics, Fluid Dynamics, Geophysical flows, and Kinetic Models. Core research themes include existence of solutions, asymptotic behavior, and blow-up analysis. His work bridges mathematical rigor and real-world applications, addressing topics such as nonlinear Schrödinger equations, Navier-Stokes-Maxwell systems, and Vlasov-Poisson dynamics in curved spaces. Recent interests include time-periodic forcing in fluid dynamics and scattering theory for energy-critical equations. Publications span prestigious journals like Communications in Mathematical Physics and Archive for Rational Mechanics and Analysis , reflecting contributions to nonlinear PDE theory and mathematical physics. His research has implications for understanding complex systems in physics, engineering, and geophysics.

• Quantum Chemistry
• Density Matrix Theory
• Tensor Networks
• +۵ مورد دیگر

Dimitri Van Neck is a Full Professor (WE05) at Ghent University, Belgium, with his research base at Tech Lane Ghent Science Park (Technologiepark 46, 9052 Zwijnaarde). His academic career spans over three decades with continuous publication output from the 1980s through 2019 across leading physics and chemistry journals including Physical Review B, Journal of Chemical Physics, and Journal of Chemical Theory and Computation. Professor Van Neck's research program centers on theoretical frameworks for quantum many-body systems, with particular emphasis on density matrix theory, tensor network states, and integrable models. His work bridges fundamental theoretical physics with practical applications in quantum chemistry and materials science. Key methodological contributions include the development of three-legged tree tensor network states (T3NS), advanced density matrix embedding techniques, and novel approaches to Richardson-Gaudin integrable models. His research has evolved from nuclear physics in earlier career stages to contemporary focus areas in quantum information-inspired computational chemistry. Analysis of his recent publications (2015-2019) reveals three dominant research threads: (1) Advanced tensor network methodologies for quantum chemistry calculations, (2) Integrable models for topological superconductivity and quantum phase transitions, and (3) Materials science applications focusing on radiation effects in nuclear materials. His work demonstrates exceptional mathematical sophistication while maintaining practical relevance to experimental systems, particularly in understanding strongly correlated electron phenomena. Professor Van Neck maintains an extensive collaborative network across European research institutions, with frequent co-authorship patterns indicating stable research partnerships with S. De Baerdemacker, P. Claeys, P. Bultinck, P.W. Ayers, and S. Wouters. His group appears to develop computational tools like CheMPS2 (a spin-adapted implementation of density matrix renormalization group methods) and contributes to major conferences in quantum chemistry, theoretical physics, and computational materials science.

Tom Braeckeveltمشاهده پروفایل

پژوهشگر ارشد

• Materials Science
• Perovskite Solar Cells
• Computational Chemistry
• +۳ مورد دیگر

Tom Braeckevelt is a Research Fellow at Ghent University, Belgium, working within the computational materials science group led by Prof. Veronique Van Speybroeck. Based at Tech Lane Ghent Science Park (Technologiepark 46, Zwijnaarde), he collaborates extensively with experimental teams including Prof. Johan Hofkens (photophysics) and Prof. Sara Bals (electron microscopy), bridging theoretical modeling with advanced characterization techniques to solve stability challenges in next-generation photovoltaics. Education: PhD in Materials Science, Ghent University (2018). Dissertation: Designing 2D hybrid organic-inorganic perovskites for game-changing photovoltaics , supervised by Prof. Veronique Van Speybroeck and Dr. Kurt Lejaeghere. His research centers on perovskite stability mechanisms through multiscale computational modeling (DFT, machine learning potentials, molecular dynamics) integrated with experimental validation (TEM, GIWAXS, spectroscopy). Key focus areas include phase transition kinetics, strain engineering, doping strategies, and interfacial design for cesium lead halide perovskites. This work addresses critical barriers to commercial solar cell deployment, particularly ambient-condition stability and efficiency retention. From 2019-2025, Dr. Braeckevelt co-authored 13 high-impact publications including Science (2019), Nature Communications (2022), and ACS Nano (2025), demonstrating progression from fundamental phase transition studies to machine learning-enhanced stability solutions. Recent work expands into covalent organic frameworks and rare-event sampling algorithms, reflecting methodological diversification while maintaining photovoltaic applications as the core driver. No scientific awards or fellowships were documented in the source materials. Supported by institutional research grants at Ghent University, Dr. Braeckevelt has presented findings at 8+ international conferences including PSCO19 (Lausanne), ICAMM (Rennes), and DFT2022 (Brussels). His invited talk at the 2025 Eindhoven Psiflow workshop highlights growing recognition in machine learning for perovskites. No student supervision roles were indicated in current position. He operates within Ghent's integrated materials research ecosystem, contributing to cross-disciplinary projects that combine computational prediction with nanoscale characterization to accelerate renewable energy technology development.

Casim Abbasمشاهده پروفایل

دانشیار

• Symplectic Geometry
• Contact Geometry
• Hamiltonian Dynamical Systems
• +۲ مورد دیگر

Casim Abbas is an Associate Professor of Mathematics at Michigan State University's Department of Mathematics, part of the College of Natural Science. His research focuses on Hamiltonian dynamical systems and symplectic/contact geometry, with significant contributions to pseudoholomorphic curves, Weinstein conjectures, and compactness results in symplectic field theory. He has authored influential books such as An Introduction to Compactness Results in Symplectic Field Theory (2014) and co-authored Holomorphic Curves and Global Questions in Contact Geometry (2019). Abbas has held NSF grants for his research on pseudoholomorphic curves and symplectization dynamics. His teaching includes advanced courses like Functional Analysis and Honors Multivariable Calculus. Research Interests Abbas specializes in the intersection of differential geometry and dynamical systems, particularly in symplectic and contact structures. His work emphasizes the application of pseudoholomorphic curve techniques to solve global questions in geometry, such as the Weinstein conjecture and Arnold's chord problem. He explores geometric analysis through symplectizations and asymptotic behaviors of curves, contributing to foundational theories in symplectic topology. Key Research Trends His publications consistently address core challenges in symplectic geometry, including compactness theorems, embedding properties, and applications of holomorphic methods to contact structures. His work bridges theoretical frameworks with concrete geometric constructions, influencing both topological and analytical approaches in the field.

Philip Lukas Ledererمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Numerical Analysis
• Finite Element Methods
• +۴ مورد دیگر

Philip Lukas Lederer is a researcher at TU Wien's Forschungsgruppe Computational Mathematics in Engineering, affiliated with the Faculty of Mathematics and Geoinformation. His work focuses on computational fluid dynamics, numerical analysis, and finite element methods with an emphasis on incompressible flows, non-Newtonian fluids, and pressure-robust discretizations. He has contributed to advancements in hybridized discontinuous Galerkin methods, divergence-free reconstruction techniques, and robust error estimation. His research addresses challenges in Stokes equations, Biot's consolidation model, and large eddy simulation. Notable collaborations include projects with Joachim Schöberl, Christoph Lehrenfeld, and others in computational mathematics. Lederer's publications emphasize high-order methods, mass conservation, and stress formulations. His work on embedded boundary approaches and surface flow simulations demonstrates innovation in geometric numerical integration. He has advised at least one master's student, Jan Ellmenreich, on non-Newtonian fluid simulations.

Hongyu Nick Zhouمشاهده پروفایل

دانشیار

• Smart and Energy-Efficient Buildings
• Sustainable Construction Materials
• Additive Construction (3D Printing)
• +۷ مورد دیگر

Hongyu 'Nick' Zhou is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Tennessee, Knoxville, within the Tickle College of Engineering. He joined the university in August 2019 after serving on the faculty at the University of Alabama in Huntsville. He leads the Sustainable and Adaptive Built Environment (SABE) Group, focusing on transformative research in sustainable, energy-efficient, and resilient infrastructure systems. PhD in Civil Engineering, Arizona State University, 2013 MSE in Civil Engineering, Arizona State University, 2012 BS in Civil Engineering, Tongji University, China, 2010 Dr. Zhou's research spans smart and energy-efficient buildings, bio-inspired materials, additive construction, and cyber-physical systems in infrastructure. His work integrates materials innovation, structural design, and advanced manufacturing to enhance building performance and sustainability. He emphasizes multi-scale, multi-physics analysis and the development of carbon-negative and adaptive construction technologies. The 15 most recent publications highlight a consistent focus on sustainable cementitious composites, 3D printing of concrete, thermal and mechanical performance of lightweight materials, and bio-inspired design. The research trends emphasize energy efficiency, resilience, and the integration of functional materials into structural systems, supported by advanced modeling and experimental techniques. Scientific Awards: New Faculty Research Award, UAH, 2015 Individual Investigator Distinguished Research Award, UAH, 2014 Higher Education Research Experience (HERE) Fellow, ORAU, 2012 Dr. Zhou actively advises graduate and undergraduate research assistants, including Adam Brooks, Yawen He, and Zhenglai Shen. His research is supported by prestigious grants from the National Science Foundation (NSF), U.S. Department of Energy (DOE), Alabama Department of Transportation (ALDOT), and DOE REMADE Institute. He serves as an Associate Editor for the Journal of Sustainable Cement-based Materials , contributing to the advancement of sustainable construction science. The SABE Group conducts interdisciplinary research in biomimicry, robotic construction, building weatherization for vulnerable communities, and multi-sensory inspection. The group collaborates with Oak Ridge National Laboratory (ORNL) and other institutions, leveraging neutron imaging and large-scale 3D printing to push the boundaries of material science and construction technology.

• Computer Science
• Computational Linguistics
• Environmental Science
• +۳ مورد دیگر

Weihong Zhong is an active researcher with dual expertise in Computer Science (particularly large language models and controllable text generation) and Environmental Science (focusing on biodegradation of industrial pollutants like phthalate esters and plastic waste). Their work includes methodological innovations in ACL and EMNLP venues, as well as biochemical studies in Applied and Environmental Microbiology and Synthetic and Systems Biotechnology . Key collaborators include Xiaocheng Feng , Lei Huang , and Bing Qin , with whom they co-author multiple papers across NLP and environmental research. Weihong Zhong’s computational research addresses LLM hallucinations (via frameworks like RHIO, Seal, and FRONT), context window extension (through positional encoding optimization), and controllable generation (using latent space probability density estimation). In environmental science, their work focuses on degrading phthalate esters (PAEs) and plastic pollutants using bacterial consortia and enzymatic engineering. Papers like the 2024 GroundBench study and 2023 MMHalSnowball framework highlight their contributions to multimodal hallucination mitigation. Scientific awards or honors are not explicitly documented in the provided materials. Their interdisciplinary approach bridges technical innovation in AI/ML with applied biological solutions for environmental remediation, as evidenced by publications in both top-tier computational conferences and environmental journals .

Daniel Appelöمشاهده پروفایل

استاد

• Numerical Analysis
• Computational Mathematics
• Wave Propagation
• +۳ مورد دیگر

Professor Daniel Appelö is affiliated with Virginia Tech's College of Science and Department of Mathematics. He also participates in the Computational Modeling and Data Analytics (CMDA) program. Research focuses on numerical algorithms for differential equations in engineering and natural sciences Specializes in wave propagation (acoustic, elastic, electromagnetic) and quantum computing applications Develops artificial boundary conditions for unbounded domains His career includes faculty positions at Michigan State University (MSU), University of Colorado Boulder, and University of New Mexico (UNM), as well as postdoctoral work at Caltech and Lawrence Livermore National Laboratory (LLNL). At LLNL, he co-developed massively parallel methods for seismology and embedded boundary methods for wave equations. Scientific Awards Hans Werthen Prize postdoc at UNM Education: PhD in Numerical Analysis at NADA, KTH, under Gunilla Kreiss. Thesis work on perfectly matched layer (PML) methods established stability criteria for hyperbolic systems.

Matthias Kellerمشاهده پروفایل

استاد

• Graph Theory
• Spectral Theory
• Discrete Geometry
• +۶ مورد دیگر

Prof. Dr. Matthias Keller is a leading researcher in discrete spectral theory and graph analysis, affiliated with the Institute of Mathematics at the University of Potsdam since 2015. His work bridges geometric properties of graphs with spectral theory, focusing on Dirichlet forms, Schrödinger operators, and functional inequalities. Key Collaborations : Daniel Lenz, Radoslaw Wojciechowski, Yehuda Pinchover Books Authored : Graphs and Discrete Dirichlet Spaces (Springer, 2021) His research explores non-positively curved graphs, stochastic completeness, and magnetic sparseness. Recent projects include optimal Hardy inequalities and spectral analysis of fractional Laplacians. Scientific Awards : Swiss Fellowship (2023) Golda Meir Fellowship (2012-2013) Klaus Murmann PhD Fellowship (2007-2010) He advises PhD and Master’s students such as Yannik Thomas , Matti Richter , and Philipp Bartmann , while maintaining active roles in DFG-funded projects and international workshops.

Daniel Tataruمشاهده پروفایل

استاد

• Partial Differential Equations
• Mathematical Analysis
• Wave Equations
• +۷ مورد دیگر

Daniel Tataru is a Professor at the Department of Mathematics, University of California, Berkeley. His research focuses on partial differential equations, mathematical analysis, and nonlinear dispersive equations, with applications to geometric flows, fluid dynamics, and general relativity. Education: Ph.D. in Applied Mathematics from the University of Virginia (1992). Tataru’s work spans partial differential equations (PDEs), including wave equations, Schrödinger equations, and free boundary problems. He has made significant contributions to unique continuation via Carleman estimates, dispersive decay, and well-posedness in low regularity settings. His recent publications emphasize quasilinear PDEs, wave decay on curved spacetimes, and geometric nonlinear flows, with applications to fluid dynamics and relativity. Notable collaborations include Jason Metcalfe, Mihaela Ifrim, and Herbert Koch. Tataru has supervised numerous Ph.D. students, including Benjamin Pineau (2024), James Rowan (2023), and Albert Ai (2019). He has received grants from the National Science Foundation and Simons Foundation.

Jean-Baptiste Colliatمشاهده پروفایل

استاد

• Numerical Simulation of Materials and Structures
• Civil Engineering
• Mechanical Behavior of Heterogeneous Materials
• +۷ مورد دیگر

Jean-Baptiste Colliat is a Full Professor at Polytech Lille , Lille University, specialized in Numerical Simulation of Materials and Structures within Civil Engineering. His work bridges computational mechanics with practical applications in concrete durability, geothermal systems, and biomedical simulations. Develops Enriched Finite Element Methods for heterogeneous materials Focuses on Uncertainty Quantification in multi-scale systems Key applications: Nuclear Waste Containment , Rockfill Stability , and Obstetric Biomechanics Recent research trends include 3D fracture network modeling, stress-permeability coupling in porous media, and stochastic analysis of material heterogeneity. His work integrates X-ray Micro-CT , DEM , and Multiscale Homogenization techniques. Professor Colliat leads computational frameworks for Embedded Finite Element Methods and Excursion Set Theory applications. He actively collaborates with LaMcube (Laboratoire de Mécanique Multi-physique Multiéchelle) on problems ranging from microstructural evolution to large-scale infrastructure failure.

• Engineering Development Projects
• Perceived Complexity and Expertise
• Organizational Research
• +۳ مورد دیگر

Elias Flening is a Lecturer at KTH Royal Institute of Technology's Division of Network and Systems Engineering (School of Electrical and Computer Engineering, EECS). His research bridges engineering development projects with organizational theory, focusing on how perceived complexity and expertise shape professional practices. Course Responsible for Business Development and Quality Management (EH2030) Examiner for Project Management and Business Development (EH2720) Teacher in Embedded Systems Design Project (IL2232) and Degree Project in Electrical Engineering (EF112X) His research explores the intersection of engineering education , project management , and organizational dynamics , emphasizing how subjective well-being correlates with professional performance. Publications span topics like Measuring skills misalignment in early-career engineers Metaphor-driven complexity frameworks in mechatronic projects Curriculum evolution for sustainable engineering He previously worked at Stockholm School of Economics on activity-based office design and maintains a professional interest in Japanese engineering culture. Doctoral thesis: MECHATRONIC METAPHORS (2023) Key collaborations with Springer in Mechatronic Futures (2025)