جست‌وجوی استاد و پژوهشگر

Stavros V. Georgakopoulosمشاهده پروفایل

استاد

• Wireless power transfer
• Novel Antennas
• Wearable antennas and body-centric wireless communications
• +۹ مورد دیگر

Stavros V. Georgakopoulos is a Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU), part of the College of Engineering. His research focuses on antennas, wireless systems, and computational electromagnetics, with particular expertise in reconfigurable antennas, RFID, and aerospace applications. Education: Ph.D. in Electrical Engineering, Arizona State University (2001) M.S. in Electrical Engineering, Arizona State University (1998) B.S. in Electrical Engineering, University of Patras, Greece (1996) Teaching: Courses include Antennas for Wireless Communication Systems, RF Circuit Design, Digital Communication Systems, and Wireless Communication with Multimedia Applications. Research Interests: Stavros specializes in novel antenna designs, wearable antennas, computational electromagnetics, and electromagnetic compatibility. His work addresses challenges in aerospace systems, wearable technology, and high-frequency antenna applications. Labs & Affiliations: He leads the Transforming Antennas Center, advancing innovations in antenna technology for modern communication systems. His research integrates advanced simulation techniques like FDTD with practical measurement validations.

Amanda Holtمشاهده پروفایل

پژوهشگر

• Biophysics
• Optical Physics
• Marine Biology
• +۳ مورد دیگر

Amanda Holt is an Associate Research Scientist in Alison Sweeney’s lab at Yale University’s Department of Physics. She holds a B.A. in Physics and Music from Bard College and a Ph.D. in Physics from the University of California, Santa Cruz. Her research focuses on biophysics and optical systems in marine organisms, particularly studying light interactions with biological structures in squids, giant clams, and deep-sea creatures. She employs experimental and computational methods such as Monte Carlo modeling, micro-probe radiometry, and finite-difference time-domain simulations to analyze optical phenomena in natural systems. Key research contributions include modeling light reflectance in squid eyes, optimizing photon transport in giant clams, and designing bio-inspired light-guiding systems. Holt’s work bridges marine biology, optics, and materials science, with applications in renewable energy and biomimetic engineering. She has published extensively on topics like symbiotic solar flux optimization, midwater camouflage mechanisms, and photonic structures in marine animals. Her awards include the GAANN Fellowship (2005-2007) and Excellence at Equal Cost Scholarship (1997-2001). Beyond academia, Holt champions science education through her role as lead coordinator for Brook Knoll Elementary’s science fair, emphasizing inclusivity for underrepresented students. She regularly engages with K-12 classrooms as a guest speaker, integrating her research to inspire future scientists. Holt collaborates closely with multidisciplinary teams, advancing understanding of biological optical systems while addressing broader societal needs like sustainable energy solutions. Her current projects focus on refining Monte Carlo models for cellular light scattering and developing experimental techniques to quantify optical properties in marine tissues.

• Microwave Imaging
• Biomedical Engineering
• Computational Electromagnetics
• +۷ مورد دیگر

Moein Movafagh is an Hourly Paid Lecturer in the Department of Electrical and Electronic Engineering at the University of Bradford, Faculty of Engineering and Informatics. He completed his PhD in Electrical and Electronic Engineering in 2023 and continues to contribute actively to research in microwave imaging and biomedical signal processing. His research focuses on the integration of electromagnetic principles—particularly Huygens’ Principle—and advanced computational methods such as the Finite-Difference Time-Domain (FDTD) technique, combined with deep learning, to develop non-invasive stroke detection systems. His work lies at the intersection of electrical engineering, medical diagnostics, and artificial intelligence. The recent publications highlight a strong trend toward radar-based brain imaging, leveraging synthetic aperture radar (SAR) and FMCW technologies enhanced by neural networks for accurate classification of strokes. These efforts aim to provide low-cost, portable, and rapid diagnostic tools for emergency healthcare settings. Contributor to UN Sustainable Development Goals (specific goals not listed) Movafagh has co-authored multiple peer-reviewed articles and conference papers, primarily in collaboration with researchers including M. Ghavami, G. Tiberi, and S. Dudley-McEvoy. While no formal advising or grant information is available, his active publication record suggests ongoing research engagement. His work is associated with the Bioscience and Bioengineering Research Centre at the university.

• Numerical analysis
• Partial differential equations
• Fluid mechanics
• +۳ مورد دیگر

Antonio Miguel Márquez Durán is an Associate Professor in the Department of Economics, Quantitative Methods and Economic History at Universidad Pablo de Olavide in Seville, Spain. His academic career spans over three decades with significant contributions to numerical analysis and partial differential equations. His research focuses on developing and analyzing finite element methods for fluid mechanics, solid mechanics, and fluid-structure interaction problems. PhD from University of Seville (2005) Thesis: Contribution to the study of some models governed by non-autonomous and/or stochastic evolution equations Supervised by Dr. Tomás Caraballo Garrido and Dr. José Real Anguas Professor Márquez Durán's research interests center on numerical methods for partial differential equations , particularly finite element methods for fluid mechanics, solid mechanics, and fluid-structure interaction problems. His work often involves developing mixed formulations, analyzing error estimates, and studying the coupling of different physical models. He has made significant contributions to pseudostress-based formulations, Brinkman models, and non-autonomous/stochastic evolution equations. His research bridges theoretical mathematical analysis with practical computational applications in engineering and physics. His publication record shows a consistent focus on developing robust numerical methods for complex physical systems. Recent work emphasizes mixed-hybrid and discontinuous Galerkin methods for dynamical systems, coupling techniques between different numerical methods (VEM and BEM), and analysis of fluid-solid interaction problems. The research trajectory demonstrates increasing sophistication in handling time-dependent problems, nonlinearity, and multi-physics coupling. Professor Márquez Durán has established productive collaborations with leading researchers in computational mathematics, most notably Gabriel N. Gatica (24 joint publications) and Salim Meddahi (22 joint publications). His work has been cited 815 times across 465 documents, indicating significant impact in his field. He has published in top journals including Computer Methods in Applied Mechanics and Engineering, SIAM Journal on Numerical Analysis, and IMA Journal of Numerical Analysis. His academic activities include extensive research collaboration, with 25 co-authors and 521 co-co-authors. While specific grant information isn't detailed in the provided materials, his sustained publication record suggests successful funding acquisition. Professor Márquez Durán appears to be an active member of the computational mathematics research community, contributing to both theoretical developments and practical applications of numerical methods.

Funda Akleman Yaparمشاهده پروفایل

استاد

• Electromagnetic Engineering
• Microwave Technologies
• Antenna Design
• +۳ مورد دیگر

Prof. Dr. Funda Akleman Yapar is a faculty member at the Department of Electronics and Communication Engineering , Istanbul Technical University , holding the Professor rank. She currently serves as Vice Dean (2023–2026) and previously held administrative roles including Deputy Head of Department (2020–2023). Her academic career spans 25 years at the same institution, starting as a Research Assistant in 1997. PhD in Electronics and Communication Engineering (1998–2002), Istanbul Technical University Her research focuses on electromagnetic engineering , microwave technologies , and antenna systems , with recent work on: 6G high-altitude platform antenna design Microwave metamaterials for solar cells Waveguide filter synthesis via inverse problems Radio propagation analysis in solar-affected stratospheric channels She has 50+ research outputs, including journal articles and conference papers, and leads projects like Three-Dimensional Radio Wave Propagation Analysis on Perfect Conductor Rough and Smooth Terrain (2014–2020). Her methodological expertise includes finite-difference time-domain (FDTD), parabolic equation (PE) modeling, and generalized scattering matrix techniques.

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.