جست‌وجوی استاد و پژوهشگر

Rafe Mazzeoمشاهده پروفایل

استاد

• Differential Geometry
• Microlocal Analysis
• Partial Differential Equations (PDE)
• +۴ مورد دیگر

Rafe Mazzeo is a Professor of Mathematics and the Cassius Lamb Professor in Natural Sciences at Stanford University. He is affiliated with the Department of Mathematics, specializing in geometric analysis, partial differential equations, and differential geometry. His research focuses on areas such as Hitchin moduli spaces, Ricci flow, minimal surfaces, and geometric inverse problems. His expertise includes microlocal analysis, geometric PDE, and the analysis of singularities in geometric structures. Notable contributions involve the study of conical metrics on Riemann surfaces, the compactification of Hitchin moduli spaces, and the analysis of Ricci flow on manifolds with bounded geometry. His work often bridges geometric analysis with applications in physics, such as geometric inverse problems related to astrophysical systems. Publications highlight advancements in nonlinear flows, scattering theory on wave-guides, and the topological properties of moduli spaces. His research spans theoretical developments in spectral geometry, operator theory, and the geometric analysis of singular spaces. Mazzeo's work has implications for understanding geometric structures in both pure and applied contexts, including contributions to mathematical physics and geometric topology.

Ruming Zhangمشاهده پروفایل

عضو هیئت علمی

• Partial Differential Equations
• Inverse Problems
• Numerical Methods
• +۴ مورد دیگر

Prof. Dr. Ruming Zhang is a Tenure-Track Professor at TU Berlin's Faculty II - Mathematics and Natural Sciences, leading the Analysis and Applications group since May 2023. He specializes in numerical methods for partial differential equations and inverse problems, with a focus on wave scattering and periodic structures. His research bridges theoretical analysis and computational techniques, addressing challenges in areas like photonic crystals and non-destructive testing. Education & Career: PhD in Mathematics (Chinese Academy of Sciences, 2014) Postdoctoral Researcher at Michigan Technological University Marie-Curie Fellow (University of Bremen, 2015-2018) Junior Group Leader at KIT (Karlsruhe Institute of Technology, 2018-2023) Research Interests: Analysis and numerical methods for PDEs, inverse scattering problems, waveguide analysis, periodic structures, and their applications in nanotechnology and engineering. His work emphasizes high-order numerical schemes and theoretical frameworks for ill-posed problems. Key Contributions: Development of nonuniform mesh methods for periodic surface scattering, high-order numerical techniques for bi-periodic structures, and monotonicity-based shape reconstruction in waveguides. His methods address challenges in computational wave physics and mathematical modeling. Awards: Richard-von-Mises Prize (GAMM, 2023) Marie-Curie Fellowship (EU FP7-PEOPLE, 2015-2017) Teaching & Mentorship: Offers courses on inverse problems, scattering theory, boundary element methods, and applied analysis. Advises students on thesis topics in mathematical theory for photonic crystals and wave propagation. Actively promotes interdisciplinary collaboration between mathematicians and engineers. Grants & Projects: DFG Grant (2019-2024): Higher-order methods for acoustic scattering in periodic structures Marie-Curie COFUND Fellowship (Bremen TRAC, 2015-2017) Labs/Teams: Leads the Analysis and Applications research group at TU Berlin, focusing on interdisciplinary projects combining mathematical theory with computational tools for real-world applications.

• Inverse Problems
• Material Science
• Partial Differential Equations
• +۳ مورد دیگر

Angkana Rüland is a Professor at the University of Bonn's Mathematical Institute and holder of the Hausdorff Chair at the Hausdorff Center for Mathematics (HCM), a Cluster of Excellence. She is a member of the Transdisciplinary Research Area ‘Modelling’ and a recipient of the prestigious Leibniz Prize (2025). Her research focuses on inverse problems, fractional PDEs, and phase transformations in materials science, with contributions to the Calderón problem and microstructure analysis. She has held positions at Oxford, the Max Planck Institute in Leipzig, and Heidelberg University before returning to Bonn in 2023. Education: She completed her Abitur, bachelor's/masters, and PhD (2014, Hausdorff Memorial Prize) at the University of Bonn, where she also co-founded the Bonn Math Club. Her academic journey includes postdoctoral research at Oxford and leadership roles in Leipzig and Heidelberg. Research interests span inverse problems (e.g., fractional Calderón problem), material microstructures (shape-memory alloys), and mathematical physics. Her work bridges pure and applied mathematics, addressing questions in elasticity, nonlocal operators, and energy scaling laws. Scientific awards include the Leibniz Prize (2025) for her groundbreaking research and the Hausdorff Memorial Prize for her doctoral thesis. She aims to use Leibniz Prize funds to strengthen her research group at HCM, furthering interdisciplinary collaborations. Her contributions have positioned Bonn as a global leader in mathematical research, with 20 Leibniz laureates since 1986.

Ziqi Sunمشاهده پروفایل

استاد

• Inverse Problems
• Partial Differential Equations
• Conformal Geometry
• +۳ مورد دیگر

Ziqi Sun is a Professor and Chair of the Department of Mathematics, Statistics, and Physics at Wichita State University, affiliated with the Fairmount College of Liberal Arts and Sciences. He earned his PhD in Mathematics from UCLA in 1987. Before joining Wichita State University in 1990, he held positions at the University of Washington. His academic promotions included Associate Professor (1992) and Professor (1997). Research Interests: Dr. Sun focuses on inverse problems in partial differential equations (PDEs), conformal geometry, and nonlinear materials. His work includes solving classical issues in inverse boundary value problems for elliptic equations and inverse scattering theory. He has pioneered geometric frameworks linking nonlinear inverse problems to linear theory, yielding uniqueness results for anisotropic elliptic equations. Key Contributions: Supported by three NSF grants (1990–1998), his research has addressed isotropic/anisotropic Calderon problems and nonlinear elasticity. Current work emphasizes nonlinear inverse boundary value problems in anisotropic media. His collaborations have resolved foundational questions in inverse scattering and vector potential analysis. Awards/Grants: While no named awards are listed, his sustained NSF funding underscores research impact. His academic leadership includes departmental chairmanship, balancing administration with active research and teaching roles.

Tayfun Günelمشاهده پروفایل

استاد

• Microwave Circuits
• Radar Systems
• Antennas
• +۱۲ مورد دیگر

Tayfun Günel is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU) , Faculty of Electrical and Electronics Engineering. He holds a PhD (1993), MSc (1988), and BSc (1986), all from ITU. His research spans microwave circuits, radar systems, antennas, and optimization using genetic algorithms and soft computing. His research interests include Microwave Circuits , Radar and Antennas , Optimization , and Genetic Algorithms . His work focuses on impedance matching, microstrip antennas, noise modeling, and metamaterial-based microwave components. He has taught courses such as Electromagnetic Fields, Radar Systems, and Satellite Communication Systems. The recent publications reflect a strong trend in microwave circuit design , antenna miniaturization , and the application of evolutionary algorithms (genetic algorithms, PSO) and machine learning (neural networks, SVR) in electromagnetic design and optimization. There is a consistent focus on practical microwave components like transmission lines, patches, and amplifiers, often using nanomaterials (e.g., carbon nanotubes) and metamaterials . His work bridges theoretical modeling with computational optimization for real-world RF and radar applications. Email: gunelmur@itu.edu.tr Professor Günel has supervised 2 completed PhD theses, 2 ongoing PhD theses, 23 completed master's theses, and 1 ongoing master's thesis, demonstrating a significant contribution to student mentoring. There are no specific grants or funding sources mentioned in the provided text. He is affiliated with research in microwave systems and antenna design , likely operating within the broader research ecosystem of the Electronics and Communication Engineering Department at ITU, which includes labs such as the Microwave Systems and Antennas Laboratory and the Radar and Microwave Technologies Research Laboratory.

Martin Norgrenمشاهده پروفایل

استاد

• Electromagnetic Inverse Problems
• Material Characterization
• Biomedical Imaging
• +۳ مورد دیگر

Martin Norgren is a Professor at KTH Royal Institute of Technology, leading the Department of Electromagnetic Fusion Physics. His research focuses on electromagnetic inverse problems, including material characterization, biomedical imaging (e.g., brain current sources), environmental monitoring (e.g., snow and avalanche prediction), and smart grid technologies. He specializes in reconstructing object properties using electromagnetic measurements and has contributed to applications in healthcare, energy systems, and environmental science. His work involves advanced analytical and numerical methods such as mode-matching techniques, perturbation theory, and convex optimization. Notable projects include noncontact current measurement in power grids and transformer diagnostics using microwave radiation. Norgren teaches courses in electromagnetic field theory and electrical engineering design, emphasizing practical applications and interdisciplinary collaboration. Recent research trends highlight advancements in glide/twist symmetry-based metamaterial design, waveguide analysis, and inverse scattering techniques. His studies bridge fundamental physics with applied engineering, addressing challenges in energy infrastructure and medical diagnostics. As a department head, he oversees educational and research programs at KTH, fostering innovation in electromagnetism and fusion physics. His contributions to curriculum development include project-based courses integrating theory and hands-on design.

Paolo Prandoniمشاهده پروفایل

مدرس

• Signal Processing
• Audio Processing
• Image Processing
• +۵ مورد دیگر

Paolo Prandoni is a Lecturer at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences (IC). He serves as a Scientist in the Audiovisual Communications Laboratory (LCAV) and teaches in the SSC-ENS and SIN-ENS units, focusing on signal processing theory and practical applications in audiovisual communications. He earned his PhD from EPFL after completing all prior education there, driven by childhood fascination with long-distance telephony. His doctoral work established foundations in communication systems that continue to inform his research. Prandoni's research spans audio/image processing, machine learning for media analysis, and DSP education. Key areas include computational photography (e.g., spectral imaging, stained glass rendering), speech quality assessment via transfer learning, music information retrieval (e.g., fingering prediction), and audience analytics through his company Quividi. His work consistently bridges theoretical signal processing with real-world implementation. Recent publications reveal a strategic shift toward machine learning integration in signal processing tasks, particularly non-intrusive speech assessment and lensless imaging reconstruction. Simultaneously, he advances DSP pedagogy through MOOC development and hands-on teaching tools using off-the-shelf hardware, emphasizing accessibility and practical skill development. No scientific awards are documented in the provided materials. He has advised PhD student Thanikachalam Niranjan (thesis: Image Based Relighting of Cultural Artifacts , 2016) and teaches Communication Systems and Computer Science courses. His educational impact extends through the open-access textbook Signal Processing for Communications (2008) and tools like MultiPub for maintainable online classes. Industry engagement includes Quividi co-founding (2006) and ongoing CSO role in attention analytics. As a core LCAV laboratory member, he collaborates on interdisciplinary projects including cultural heritage digitization, embedded signal processing systems, and real-time audience measurement, leveraging EPFL's infrastructure for both academic and commercial applications.

• Applied Geometry
• Discrete Differential Geometry
• Numerical Analysis
• +۳ مورد دیگر

Max Wardetzky is a Professor at the Institute for Numerical and Applied Mathematics within the Faculty of Mathematics and Computer Science at the University of Göttingen, Germany. His office is located at Lotzestraße 16-18, 37083 Göttingen, and he can be reached via email at wardetzky@math.uni-goettingen.de or by phone at +49 551 39 26778. Professor Wardetzky leads the Discrete Differential Geometry Lab at the University of Göttingen, where he conducts research at the intersection of mathematics, computer science, and geometry processing. His work bridges theoretical foundations with practical applications in computer graphics and scientific computing. His primary research interests include: Applied Geometry Discrete Differential Geometry Numerical Analysis Geometry Processing Physical Simulation Computer Graphics Professor Wardetzky's extensive publication record demonstrates significant contributions to the field of discrete differential geometry and its applications. His work shows a consistent focus on developing mathematically rigorous yet computationally efficient methods for geometric problems. Key trends in his research include the development of discrete analogues of smooth geometric objects, the study of convergence properties between discrete and continuous models, and the application of these methods to problems in computer graphics and physical simulation. Professor Wardetzky has made substantial contributions to the theoretical foundations of discrete differential geometry while maintaining strong connections to practical applications. His work on discrete Laplacians, curvature approximations, and geometric flows has influenced both theoretical mathematics and practical geometry processing algorithms.

Miklós Tibor Horváthمشاهده پروفایل

استاد

• Inverse Spectral Problems
• Sturm-Liouville Operators
• Inverse Scattering Theory
• +۳ مورد دیگر

Miklós Tibor Horváth is a Professor at the Department of Mathematics , Budapest University of Technology and Economics , specializing in inverse spectral problems and differential operators. He serves as Head of Department and holds the MTA doktora degree. Email: horvath@math.bme.hu Office: H226c Phone: +36-1-463-2630 Research Interests: His work focuses on inverse spectral theory, including reconstruction of linear differential operators from spectral data, eigenvalue distribution of Sturm-Liouville problems, and fixed-energy inverse scattering. Key areas include stability analysis of inverse problems and closed exponential systems. Publications & Teaching: Horváth has published extensively in journals like Inverse Problems and Transactions of the American Mathematical Society , with notable contributions to stability theorems and spectral shift functions. He teaches courses such as Analysis 2 , Functional Analysis , and Inverse Distribution Problems at both undergraduate and graduate levels. Additional Information: Personal Website: http://math.bme.hu/~horvath Mathscinet Profile: AMS Profile Google Scholar: Google Scholar Profile

Dana Brooksمشاهده پروفایل

استاد پژوهشی

• Biomedical Signal Processing
• Medical Imaging
• Statistical Signal Processing
• +۸ مورد دیگر

Dana Brooks is a Research Professor in the Department of Electrical and Computer Engineering at Northeastern University, with affiliations in Bioengineering. He holds a PhD from Northeastern University (1991) and has received the Søren Buus Outstanding Research Award (2006). His primary research focuses on biomedical signal and image processing, medical imaging techniques (including MRI and electrocardiography), and neuromodulation technologies such as transcranial magnetic stimulation (TMS). He is also involved in protein conformation estimation using X-ray scattering and optimization algorithms for medical applications. Dr. Brooks leads the Biomedical Signals Processing Lab and collaborates with the Center for Integrative Biomedical Computing . His work bridges engineering and medicine, with recent grants including a $400K NSF MRI grant for advanced TMS systems and a $600K NSF grant for motor cortical organization studies. He has advised students like Setareh Ariafar (PhD’20) and contributed to innovations in image mosaicking for confocal microscopy and machine learning applications in dermatology. His publications span computational neuroscience, cardiac imaging, and uncertainty quantification in biomedical simulations. Notable achievements include developing algorithms for ECG imaging, optimizing TMS protocols, and creating tools like UncertainSCI for simulation reliability assessment.

Keith D. Paulsenمشاهده پروفایل

استاد

• Biomedical Engineering
• Medical Imaging Methodologies
• Cancer Therapeutics
• +۴ مورد دیگر

Keith D. Paulsen is the MacLean Professor of Engineering at Dartmouth College’s Thayer School of Engineering and holds the title of Professor of Radiology & Surgery at the Geisel School of Medicine. He serves as Scientific Director of the Center for Surgical Innovation at Dartmouth-Hitchcock Medical Center and Co-Director of the Translational Engineering in Cancer Research Program at the Norris Cotton Cancer Center. His roles emphasize interdisciplinary collaboration between engineering, medicine, and oncology. Paulsen earned a BSc in Biomedical Engineering from Duke University (1981), followed by MS (1984) and PhD (1986) degrees in Engineering Sciences from Dartmouth College. His research focuses on biomedical imaging, cancer therapeutics, and image-guided surgery, with particular expertise in optical and electromagnetic methodologies. He has pioneered technologies such as fluorescence-guided surgery, quantitative scatter imaging, and non-linear image reconstruction techniques, aiming to enhance surgical precision and cancer diagnosis. His awards include fellowships from OSA, SPIE, AIMBE, IEEE, and the National Academy of Inventors. Paulsen’s work has led to startups like CairnSurgical (where he serves as CTO) and InSight Surgical Technologies, translating research into clinical tools. Key projects include intraoperative imaging systems for brain and spine surgery, microwave imaging for breast cancer, and optical molecular imaging for real-time surgical guidance. Paulsen teaches advanced computational methods (ENGS 205, 105) and courses on medical device innovation (ENGM 189.1/2). His lab, part of Dartmouth’s Optics in Medicine cluster, collaborates with radiology, surgery, and oncology departments to develop clinical technologies funded by NIH, NCI, and DoD grants.

• electromagnetic scattering
• electromagnetic absorption
• inverse problems
• +۵ مورد دیگر

Mariana Dalarsson is an Associate Professor in Electromagnetic Theory at the Division of Electromagnetic Engineering and Fusion Science (EMF) within the School of Electrical and Computer Engineering (EECS) at KTH Royal Institute of Technology. She holds an MSc (2010), PhD (2016), and Docent (2019) from KTH, where she is recognized as the (shared) second youngest woman ever to receive a PhD degree from the institution. Her research spans electromagnetic scattering and absorption, inverse problems, electromagnetics of stratified media, double-negative metamaterials, electromagnetics in medicine, antenna theory, and mathematical physics. She has authored approximately 102 peer-reviewed publications, including 51 journal papers, with recent work focusing on gold nanoparticles for biomedical applications, waveguide theory for artificial materials, and plasmonics. Analysis of her recent publications reveals a strong focus on graded metamaterials, electromagnetic wave propagation in complex media, and biomedical applications of electromagnetic theory. Her work bridges fundamental electromagnetic theory with practical applications in medical technology, particularly in the areas of nanoparticle-based treatments and diagnostic systems. Honorary Grant ("Honnörsstipendiet") for best graduate of her program (2011) L'Oréal-Unesco For Women in Science Sweden Prize (2020) Göran Gustafsson Prize for Young Researchers at UU/KTH (2024) Teaching Assistant of the Year from Engineering Physics students (2015) Mariana is highly active in teaching, serving as course responsible and examiner for EI1222 Electromagnetic Theory, EI2405 Classical Electrodynamics, and FEI3304 Integral Equation Methods in Electromagnetics. She also co-teaches several other courses and regularly supervises multiple BSc/MSc theses annually. Her research is primarily funded through her own project grants from the Swedish Research Council, including "Waveguide theory for artificial materials and plasmonics" (2019) and "Gold nanoparticles for high-frequency deep brain stimulation" (2023).

Markus Haltmeierمشاهده پروفایل

استاد

• Image Reconstruction
• Inverse Problems
• Deep Learning
• +۴ مورد دیگر

Markus Haltmeier is a Professor in the Department of Mathematics at the University of Innsbruck. His research focuses on inverse problems, image reconstruction, and deep learning with applications in medical imaging, photoacoustics, and computational mathematics. He leads a group dedicated to advancing theoretical and practical solutions for challenges in non-destructive testing and medical diagnostics. His work integrates mathematical analysis with machine learning, addressing issues such as high-resolution imaging in scattering media and automated segmentation of cardiac structures. Key research areas include regularization techniques for inverse problems, self-supervised learning approaches for limited data scenarios, and computational methods for photoacoustic tomography. His contributions span both theoretical developments (e.g., inversion formulas for Radon transforms) and applied solutions (e.g., algorithms for cylinder liner wear assessment and myocardial infarct segmentation). Publications highlight advancements in neural network-based regularization, 3D medical image synthesis, and unsupervised learning frameworks for segmentation and registration. His research emphasizes bridging the gap between mathematical theory and real-world applications in healthcare and engineering.

Randy Bartelsمشاهده پروفایل

استاد

• Biomedical Imaging
• Optical Engineering
• Nonlinear Microscopy
• +۳ مورد دیگر

Randy Bartels is a Professor in the Department of Biomedical Engineering at the University of Wisconsin-Madison. His laboratory specializes in developing advanced biomedical imaging techniques to study complex biological phenomena and translate these methods into applications that enhance fundamental understanding of biology and disease treatments. Education: PhD, University of Michigan (2002) MS, University of Michigan (1999) BS, Oklahoma State University (1997) Research Interests: Bartels focuses on creating novel coherent nonlinear optical imaging modalities, such as spatial frequency modulation imaging (SPIFI), impulsive stimulated Raman scattering (ISRS), and synthetic aperture holography. His work emphasizes label-free imaging, optical scattering robustness, and computational enhancements for resolution and sensitivity. Scientific Awards: 2021 Institut Fresnel Visiting Professor 2013 American Physical Society Fellow 2011 Optical Society of America Fellow 2006 Presidential Early Career Award in Science and Engineering (PECASE) 2005 Sloan Research Fellow (Physics) 2004 NSF CAREER Award Recent Article Trends: Bartels' publications highlight innovations in label-free imaging, nonlinear microscopy, and computational techniques. Key themes include hyperspectral coherent Raman imaging, quantum-classical fusion for super-resolution, and robustness to optical scattering in biological and industrial applications. His work spans fundamental physics, engineering, and biomedical translation. Laboratory: Bartels leads a research group dedicated to advancing imaging technologies, with a focus on overcoming limitations in resolution, depth, and sensitivity through optical and computational methods.

Irwin Youseptمشاهده پروفایل

استاد

• Electromagnetics
• Numerical Analysis
• Optimization
• +۳ مورد دیگر

Prof. Dr. Irwin Yousept is a Full Professor of Mathematics at Universität Duisburg-Essen, leading the research group AG Optimal Control of Partial Differential Equations. His work focuses on the mathematical analysis and numerical solutions of electromagnetic problems, particularly in superconductivity and inverse problems. He holds a PhD from TU Berlin (2008) and has held academic positions at TU Darmstadt and TU Berlin. His research includes PDE-constrained optimization, numerical analysis, and applications in high-temperature superconductivity and electromagnetic shielding. Affiliations: Universität Duisburg-Essen, Fakultät für Mathematik Education: Diplom (2005), PhD (2008) in Mathematics from TU Berlin Research interests span Maxwell's equations, numerical methods for PDEs, and optimal control, with applications in superconductivity, electromagnetic shielding, and induction heating. He has authored over 40 publications and received awards including the Richard-von-Mises-Preis GAMM (2014). Current grants include DFG-funded projects on inverse problems and superconductivity.