جست‌وجوی استاد و پژوهشگر

Olivier Deparisمشاهده پروفایل

پژوهشگر

• Photonic Crystals
• Physics
• Computational Intelligence
• +۵ مورد دیگر

Olivier Deparis is a Researcher at the University of Namur , affiliated with the Namur Institute of Structured Matter and Namur Institute for Complex Systems . He holds a Doctor of Science degree from Université de Mons (awarded on 30 Jun 1997) and has been actively involved in interdisciplinary research since the early 2000s. Education Doctor of Science in Physical and Experimental Study of Optical Fiber Radiation Resistance by Visible-Infrared Spectrometry, Université de Mons (UMons), 1997 His research spans photonic crystals , spectroscopy , and machine learning applications in heritage science. Key projects include PHOENIX (Physics & Computational Intelligence in History) and PERGAMENUM21 (interdisciplinary parchment study). He applies computational methods to analyze historical materials and investigates light-matter interactions in natural nanostructures. Recent work focuses on bioinspired photonic structures (2024), genetic algorithm optimization of light absorbers (2024), and FDTD modelling for plasmonic systems (2024). His publications frequently address chirality , refractive index , and animal species in historical contexts. He collaborates with institutions across Belgium and internationally, supervising projects like MODPHOT (photocatalyst modelling). His datasets on beetle fluorescence (2016-2019) remain widely accessed in open-access repositories. Deparis frequently participates in heritage science symposia and is an organizer of events like the 2024 'Physicochimie du parchemin' workshop. His work was highlighted in 2024 press coverage by University of Namur on emerging technologies in parchment analysis.

Peter D. Minevمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Numerical Analysis
• Fluid-Structure Interaction
• +۴ مورد دیگر

Peter D. Minev is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta, Canada. His research specializes in computational fluid dynamics, numerical methods for partial differential equations (PDEs), and large-scale simulations for scientific and engineering problems. He develops advanced algorithms for incompressible Navier-Stokes equations, fluid-structure interaction, multiphase flows, and magnetohydrodynamics (MHD). Education: MSc and PhD from Sofia University, Bulgaria. Research Focus: Minev's work spans: High-order time-stepping schemes and splitting methods for complex PDEs Fictitious domain approaches for fluid-structure interaction Parallel algorithms for supercomputing applications Modeling of multiphysics phenomena (e.g., porous media flows, phase-field equations) He has created benchmark results for 3D lid-driven cavity flows and simulations of particle sedimentation/bubble dynamics. Publications: His recent articles (2014–2021) focus on: Efficient splitting schemes for stress/vorticity formulations High-order adaptive time integration Algorithms for spherical/heterogeneous geometries Applications in fuel cells, geophysics, and biomechanics A consistent theme is minimizing computational complexity while maintaining accuracy.

Stuart Porterمشاهده پروفایل

مدرس ارشد

• Antennas
• Computational Electromagnetics
• Electromagnetic Compatibility
• +۵ مورد دیگر

Dr. Stuart Porter is a Senior Lecturer in the Department of Electronic Engineering at the University of York. He holds roles including Chair of the Staff Student Liaison Committee and co-ordinator for SWENG and 3rd-year projects. His research focuses on computational electromagnetics, antenna design, electromagnetic compatibility (EMC), and the application of evolutionary algorithms to engineering problems. Education: BSc (Hons), DPhil (PhD). Research interests span antennas, computational electromagnetics, EMC design tools, and health effects of electronic equipment. He has contributed to projects such as optimizing antenna designs, modeling electromagnetic fields in enclosures, and assessing RF exposure from mobile devices. Publications emphasize advancements in numerical methods (e.g., FDTD, TLM), antenna engineering, and EMC simulation tools. His work bridges theoretical models with practical applications in aerospace and telecommunications.

• Machine Learning
• Computer Vision
• Signal Processing
• +۳ مورد دیگر

Chenguang Liu is a researcher at Institut Polytechnique de Paris , France, with a focus on computational methods, machine learning, and control systems. His work bridges theoretical and applied research across multiple domains including computer vision, signal processing, and operations research. Key research areas: Machine Learning, Computer Vision, Computational Physics, Control Theory Notable publication trends: Develops novel algorithms for parallel computing, peridynamic modeling, and real-time systems Recent contributions include Bayesian neural networks for gas-bearing prediction, multi-agent reinforcement learning for UAV swarms, and domain adaptation techniques in object detection. He collaborates extensively with researchers in electrical engineering and applied mathematics disciplines.

Marlis Hochbruckمشاهده پروفایل

استاد

• Numerical Analysis
• Time Integration of PDEs
• Numerical Methods for Differential Equations
• +۶ مورد دیگر

Professor Marlis Hochbruck is a distinguished faculty member at the Karlsruhe Institute of Technology (KIT), where she serves as Head of the Numerical Analysis Working Group within the Faculty of Mathematics and the Institute for Applied and Numerical Mathematics. Her office is located at Englerstraße 2, 76131 Karlsruhe, Germany, in the Kollegiengebäude Mathematik (20.30), room 3.001. She is actively involved in teaching and research, with courses scheduled through Summer Semester 2025. Her research interests span a wide range of topics in numerical analysis, with a particular focus on time integration methods for partial differential equations , wave equations , Maxwell's equations , and exponential integrators . Her work bridges theoretical numerical analysis with practical computational methods, addressing challenges in computational mathematics and scientific computing. Professor Hochbruck has developed and analyzed numerous numerical schemes that maintain stability and accuracy for complex wave phenomena and electromagnetic simulations. Professor Hochbruck's publications demonstrate a consistent focus on advancing numerical methodologies for time-dependent PDEs. Her recent work shows increasing attention to specialized applications including quantum mechanics (Schrödinger equation), electromagnetic scattering, and nonlinear wave phenomena. She frequently collaborates with researchers across multiple institutions, particularly within the CRC 1173 framework at KIT, which focuses on wave phenomena. Professor Hochbruck has supervised numerous doctoral students who have completed dissertations on topics related to numerical methods for wave equations, exponential integrators, and time integration schemes. Her academic lineage includes researchers who have made significant contributions to computational mathematics. Her teaching portfolio is extensive and consistent, covering core numerical mathematics courses as well as specialized seminars on numerical methods for differential equations, time integration, and wave phenomena. She has taught continuously from Winter Semester 2010/11 through Summer Semester 2025, demonstrating sustained academic engagement.

• Electromagnetic Fields
• Wireless Communication Systems
• Quantum Computing Applications
• +۳ مورد دیگر

Prof. Franco Moglie is an Associate Professor at the Department of Information Engineering of the University of Marche Polytechnic (UNIVPM). His research focuses on electromagnetic field theory, wireless communication systems, quantum computing applications, and bioelectromagnetics. He leads projects on reverberation chamber analysis, reconfigurable intelligent surfaces, and FDTD simulations. His work spans topics like 5G signal propagation, quantum optimization for wireless networks, and electromagnetic shielding materials. He actively contributes to IEEE standards for stochastic radiator characterization and has pioneered chaotic chamber designs for enhanced testing environments. Research interests include advanced FDTD simulations for complex cavities, time-reversal techniques for biomedical applications, and the development of composite materials for electromagnetic shielding. He collaborates with industry and academia on projects involving 5G infrastructure testing, quantum computing for electromagnetic problems, and bioelectromagnetic safety assessments. Recent publications highlight innovations in quantum algorithms for waveguide simulations, experimental validations of 5G systems in reverberation chambers, and statistical analysis of shielding effectiveness. His work bridges theoretical electromagnetics with practical applications in telecommunications and medical engineering.

Sandra C. Vazمشاهده پروفایل

استادیار

• Mathematical Modeling
• Dynamical Systems
• Epidemiology
• +۳ مورد دیگر

Sandra C. Vaz serves as an Assistant Professor in the Department of Mathematics at the University of Beira Interior (UBI), Portugal, teaching core undergraduate courses including Probabilities and Statistics, Calculus II, and Quantitative Methods. Her academic profile remains active with 2025 course listings and recent scholarly contributions through 2023. Her research program bridges theoretical and applied mathematics, emphasizing Mathematical Modeling of infectious disease dynamics and Dynamical Systems theory. Key focus areas include discrete-time compartmental models for epidemiological forecasting, stability analysis of nonlinear systems, and number-theoretic applications in beta-transformations. This dual trajectory reflects both practical public health engagement and foundational mathematical inquiry. Analysis of her 2021-2023 publications reveals concentrated expertise in mathematical epidemiology, particularly discrete-time modeling frameworks for HIV immune response dynamics and Portugal-specific COVID-19 transmission patterns. Concurrently, she maintains theoretical work on Pisot numbers and symbolic dynamics, demonstrating sustained contribution to both applied and pure mathematics domains. No scientific awards are documented in the current profile. Dr. Vaz has participated in research projects including the completed grant 'Sistemas Dinâmicos Discretos de Baixa Dimensão e de Dimensão Infinita' (POCI/MAT/60380/2004), often collaborating with Delfim F. M. Torres. While her Ciência Vitae profile confirms publication output, no formal advisees or current grant funding are explicitly referenced in the provided materials.

Piet Demeesterمشاهده پروفایل

استاد

• Optical Communication Networks
• Wireless Communication Systems
• Networked Intelligence
• +۳ مورد دیگر

Piet Demeester is a Full Professor at the Faculty of Engineering and Architecture, Ghent University, and serves as Director of the IDLab-Department (imec/UGent/UA). His research spans optical and wireless communication networks, networked intelligence, and electromagnetic field exposure analysis. Key affiliations: Ghent University, University of Antwerp, imec Labs: IDLab (350+ researchers focusing on optical/wireless networks, cloud infrastructures, AI for robotics) His work includes foundational contributions to ultra-high-capacity wireless networking under the ERC Advanced Grant "ATTO." Scientific awards include IEEE Fellowship (2009). Publications demonstrate technical leadership in 5G/6G architectures, analog radio-over-fiber systems, and human EMF exposure modeling. Major research themes Optical/Wireless Network Integration Millimeter-Wave Communication Exposure Assessment Methodologies Photonic Antenna Systems Notable collaborations include leadership in European testbed federations like Fed4fire and co-development of standards for networked intelligence.

George A. Gravvanisمشاهده پروفایل

استاد

• Computational Methods
• Mathematical Modeling
• Parallel Computing
• +۱۰ مورد دیگر

Dr. George A. Gravvanis is a Professor of Applied Mathematics and Numerical Computations at the Department of Physics and Applied Mathematics, Democritus University of Thrace. He also serves as Coordinator and SEP Member for Thematic Units at the Hellenic Open University. B.Sc. (1982) in Science (Joint Honours), University of Salford B.A. (1986), Mathematics, National and Kapodistrian University of Athens M.Sc. (1984), Numerical Analysis, Brunel University PhD (1992), Computer Science, Athens University of Economics and Business His research focuses on computational and numerical methods, including Mathematical Modeling , Parallel Algorithmic Design , Numerical Algorithms , Sparse Matrix Techniques , and PDE Solvers . He integrates these into Mathematical Software and Computer Science Mathematics . Recent article trends highlight his work in Sparse Regression for data imputation, Hybrid Multi-Projection Methods for distributed systems, and Unified Transform Techniques for PDEs. Subfields span High-dimensional Data , GPU Clusters , and Self-Organizing Clouds . He has taught undergraduate courses in Mathematical Software , Applied Numerical Analysis , and Scientific Calculations . He has coordinated research projects such as the CloudLightning initiative under Horizon 2020. His editorial contributions include roles on international journal boards and special edition editing. Dr. Gravvanis has reviewed for major academic organizations and journals, including ACM Computing Reviews and Mathematical Reviews (AMS) . His career spans academic roles and technical positions in national and EU social security informatics.

Bo Cuiمشاهده پروفایل

استاد

• Nanofabrication
• Microfabrication
• Electron Beam Lithography
• +۱۲ مورد دیگر

Professor Bo Cui is a distinguished faculty member at the University of Waterloo's Department of Electrical and Computer Engineering, where he serves as Director of the Waterloo Nanofabrication Group. His research focuses on cutting-edge nanofabrication techniques and their applications across multiple disciplines. Professor Cui received his educational training at prestigious institutions: BSc in Physics from Peking University (1994), followed by MA (2000) and PhD (2003) in Electrical Engineering from Princeton University. After completing his doctoral studies under Professor Stephen Y. Chou at the Nanostructure Laboratory, he worked at the National Research Council of Canada before joining the University of Waterloo in 2008. His research interests span micro-nanofabrication, lithography techniques, MEMS fabrication, microneedle technology, AFM probe fabrication, terahertz photoconductive antenna development, and dry plasma etching. Professor Cui's work bridges fundamental nanofabrication science with practical applications in biomedical devices, nanoelectronics, and photonics. His group has developed innovative methods for electron beam lithography on irregular surfaces, silicon microneedle fabrication, high aspect ratio AFM probes, and terahertz spectroscopy components. Analysis of his recent publications reveals a strong focus on advancing nanofabrication capabilities, particularly in electron beam lithography techniques, plasmonic nanostructures for sensing applications, and novel resist materials. His work demonstrates consistent innovation in overcoming fundamental limitations in nanofabrication processes while maintaining practical relevance to industry applications. Professor Cui leads the Waterloo Nanofabrication Group, which maintains extensive collaborations with industry partners in biomedical devices, sensors, and terahertz spectroscopy. The group utilizes state-of-the-art cleanroom facilities including electron beam lithography, focused ion beam, ICP-RIE/deep RIE, laser direct writing, and physical/chemical vapor deposition systems.

Jérôme Le Rousseauمشاهده پروفایل

استاد

• Microlocal Analysis
• Partial Differential Equations
• Control Theory
• +۲ مورد دیگر

Jérôme Le Rousseau is a Professor at the Laboratoire analyse, géométrie et applications (LAGA), Sorbonne Paris Nord University, affiliated with CNRS UMR 7339. A junior member of the Institut Universitaire de France since 2012, his research focuses on microlocal analysis, Carleman estimates, and controllability of partial differential equations. His research explores three primary domains: Microlocal analysis for studying singularities in PDE solutions Carleman estimates for unique continuation and control theory Inverse problems involving wave propagation and stabilization Recent publications demonstrate strong focus on wave/quantum observability (2024), geometric control on manifolds (2024), and plate stabilization (2023), with consistent emphasis on microlocal techniques across 15+ peer-reviewed articles. Awards include: Junior membership in Institut Universitaire de France (2012) He co-organizes the Paris-London Analysis Seminar and previously led conferences on inverse problems at Institut Henri-Poincaré. Affiliated with LAGA laboratory, he mentors collaborators including Nicolas Burq and Luc Robbiano.

• Numerical Analysis
• Partial Differential Equations
• Fluid Mechanics
• +۸ مورد دیگر

Anna Martinez-Gavara is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, Universitat de València. She is a member of the OPTIMATH research group, focusing on Optimization and Mathematical Modelling. Her research spans two major domains: applied numerical analysis for partial differential equations—particularly in developing high-resolution, well-balanced, and adaptive schemes for hyperbolic conservation laws and shallow water flows—and combinatorial optimization , where she applies metaheuristic methods such as tabu search, GRASP, and scatter search to problems like graph drawing, clustering, and diversity maximization. Her work integrates theoretical stability analysis with practical algorithmic design. The 15 most recent publications reflect a dual trajectory: early works (2008–2012) emphasize numerical methods for fluid dynamics and conservation laws, while more recent papers (2015–2023) pivot toward discrete optimization and metaheuristics. This evolution highlights her interdisciplinary approach, bridging numerical PDEs and operational research. Her collaborations include prominent researchers such as Rafael Martí, Rosa Donat, and Manuel Laguna, resulting in publications in high-impact journals including Journal of Computational Physics , Applied Numerical Mathematics , and European Journal of Operational Research . While no scientific awards are mentioned in the provided texts, her sustained publication record and active research up to 2023 indicate a strong and ongoing academic contribution. She has advised no publicly listed students in the data, and there is no mention of external grants or leadership of a lab or research team.

Marco Munderlohمشاهده پروفایل

پژوهشگر ارشد

• Video Coding
• Motion Detection
• Wave Field Synthesis
• +۶ مورد دیگر

Marco Munderloh is a research fellow at the Leibniz University Hannover under the Institute for Information Processing . His career spans advanced video coding, predictive maintenance, and photonic design, with a focus on low-bitrate aerial video compression and motion detection. Dipl.-Ing. in Computer Engineering (2004), Technical University of Ilmenau PhD (2015), Leibniz University Hannover His research interests include: Wave Field Synthesis (WFS) with patented applications in cinema sound systems Predictive maintenance using deep learning and Bayesian neural networks Inverse design for photonic integrated circuits and 3D nanostructures Region-of-interest (ROI) video coding and motion compensation Optical verification of construction materials Marco's recent publications (2025–2018) cover predictive maintenance, video compression, and photonic design. Key trends involve applying machine learning to industrial reliability, optimizing video codecs for aerial surveillance, and computational inverse design for optical devices. Scientific achievements include: Patent for WFS technology in sound reproduction Collaborations span institutions like IEEE, CIRP, EUSPEN, and journals such as APSIPA Transactions and Bautechnik . Contact: Marco.Munderloh@tnt.uni-hannover.de , Marco.Munderloh@web.de .

Werner Varnhornمشاهده پروفایل

استاد

• Mathematical Fluid Dynamics
• Partial Differential Equations
• Functional Analysis
• +۴ مورد دیگر

Prof. Werner Varnhorn is a retired full professor of applied mathematics at the University of Kassel, where he served as Dean of the Department of Mathematics and Computer Science (1999–2002). He previously held academic positions at Dresden Technical University, Weimar Bauhaus University, Erlangen University, and Karlsruhe University of Applied Sciences. His research focuses on mathematical fluid dynamics, partial differential equations, functional analysis, and numerical methods for hydrodynamical systems. He has contributed extensively to the theoretical and computational analysis of Navier-Stokes and Stokes flows, boundary integral equations, and approximation theory. Education: Studies in Mathematics, Physics, and Sociology at Bielefeld and Göttingen Universities (1970–1977) M.Sc. (Diplom) in Mathematics and Sociology (1976) Ph.D. (Dr. rer. nat.) in Mathematics (1985) Postdoctoral Habilitation in Mathematics (1992) Research Interests: Mathematical fluid dynamics: Navier-Stokes and Stokes equations Partial differential equations: existence, uniqueness, and regularity Numerical analysis: finite differences, finite elements, and boundary element methods Functional analysis: energy methods and semigroup theory Hydrodynamical potential theory: boundary integral equations Advising & Grants: Supervised over 30 Ph.D., M.Sc., and B.Sc. theses in fluid dynamics, numerical analysis, and related fields Contributed to grant-funded research on fluid-structure interaction, approximation methods, and computational fluid dynamics Labs & Collaborations: Affiliated with the Analysis and Applied Mathematics group at the University of Kassel Collaborated with institutions like the Institute of Thermomechanics (Prague) and TU Dresden

Lu Zhangمشاهده پروفایل

استادیار

• Numerical Analysis of Partial Differential Equations (PDEs)
• Discontinuous Galerkin Methods
• Computational Mathematics
• +۵ مورد دیگر

Lu Zhang is an Assistant Professor in the Department of Computational Applied Mathematics and Operations Research at Rice University. She joined Rice in 2023 after serving as the Ju Tang Chu and Wu Ping Chu Assistant Professor at Columbia University's Department of Applied Physics and Applied Mathematics. Zhang holds a Ph.D. in computational and applied mathematics from Southern Methodist University (2020) and has conducted summer research at Argonne National Laboratory (2018) and Lawrence Livermore National Laboratory (2019). Her research focuses on numerical and theoretical analysis of partial differential equations (PDEs), particularly developing high-order discontinuous Galerkin methods for PDEs with physical and biological applications. Key areas include advective wave equations, seismic imaging, chemotaxis models, population dynamics, and inverse problems. Her work emphasizes energy-stable, computationally efficient algorithms and their theoretical underpinnings. Zhang's recent publications (2021–2024) explore advanced numerical methods for wave equations, electromagnetic systems, and elastic media, with applications in geophysics, structural mechanics, and crime modeling. Her methods address challenges in high-order accuracy, stability, and computational efficiency across diverse scientific domains. No scientific awards or grants are explicitly mentioned in the provided text. She currently advises no listed students but has extensive experience in collaborative research through national laboratory partnerships.