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Professor Chuanzeng Zhang is a renowned academic currently serving as Professor (C4) and Chair of Structural Mechanics at the Department of Civil Engineering, University of Siegen, Germany. He has held leadership roles including Head of the Department of Civil Engineering (2015–present) and Director of the Institute of Structural Engineering (2007–2010). With a habilitation from Technical University Darmstadt and a PhD from Northwestern University, his research spans acoustic wave propagation, computational mechanics, and multifunctional materials. Education : PhD (Dr.-Ing.) from Northwestern University (USA), Habilitation from Technical University Darmstadt (Germany), Diploma (Dipl.-Ing.) from Technical University Darmstadt. Key Roles : Guest Professor at multiple Chinese institutions (Harbin Institute of Technology, Tongji University), Vice-President of the International Chinese Association for Computational Mechanics. Research interests include: Mechanics of smart materials and structures Wave propagation in phononic crystals Fracture mechanics in composite materials Computational methods for anisotropic solids Surface and interface effects in nanomaterials Multifunctional and functionally graded materials Recent Publications : His work focuses on advanced computational methods for wave propagation, fracture analysis, and smart materials, with applications in phononic crystals, piezoelectric composites, and functionally graded structures. Honors & Awards : 2015: Du Qinghua Medal for Computational Methods 2015: Member of European Academy of Sciences and Arts 2015: Honorary Doctorate from Slovak University of Technology 2014: Member of European Academy of Sciences Leadership & Collaborations : Led Senate Commissions, Research Advisory Committees, and DVM Working Groups. Maintains strong academic ties with institutions in China and Germany.

• Acoustic and elastic wave propagation
• Mechanics of smart materials and structures
• Phononic crystals and wave control
• +7 more

Prof. Jens Markus Melenk is a Professor at TU Wien's Faculty of Mathematics and Geoinformation, leading the Computational Mathematics Research Group (E101-02-1). His research focuses on advanced numerical methods for partial differential equations, with a strong emphasis on hp-FEM (hp-Finite Element Method), fractional diffusion equations, and wave propagation problems. He has contributed significantly to the development of robust and efficient algorithms for complex domains and heterogeneous media. Key research interests include the application of hp-FEM to fractional operators (e.g., integral fractional Laplacian), boundary element methods (BEM), and the analysis of wavenumber-explicit convergence for Maxwell's equations and elastic wave equations. His work bridges theoretical analysis and computational implementation, addressing challenges in multiscale problems and singular perturbations. Notable contributions: Exponential convergence of hp-FEM for fractional Laplacian problems, wavenumber-explicit error estimates for wave equations in heterogeneous media. Collaborations: Active involvement with researchers like Markus Faustmann, Christoph Schwab, and Dirk Praetorius. Supervised theses: Includes works on hp-FEM for fractional operators, RBF interpolation, and error estimators for elliptic PDEs. His research group develops and analyzes numerical schemes for challenging PDE scenarios, with applications in electromagnetism, acoustics, and computational mechanics.

• hp-Finite Element Method (hp-FEM)
• Fractional Diffusion Equations
• Boundary Element Method (BEM)
• +3 more

Lothar Nannen is an Associate Professor at Vienna University of Technology's Institute of Analysis and Scientific Computing. His research focuses on finite element methods, scattering and resonance problems in open systems, and transparent boundary conditions for wave propagation modeling. Key research areas: Computational Waves, Hardy space infinite elements, time-harmonic systems Current work: 2024 publications on Krylov eigenvalue solvers for wave problems Nannen contributes to teaching through courses on numerical analysis and differential equations, with oral exams conducted by appointment. He actively publishes in journals like Computers & Mathematics with Applications and Numerische Mathematik , emphasizing numerical methods for wave scattering and resonance analysis.

• Finite Element Methods
• Scattering Problems
• Resonance Problems in Open Systems
• +4 more

Mourad Sini is a Senior Fellow at the Radon Institute for Computational and Applied Mathematics (RICAM) within the Austrian Academy of Sciences. His primary affiliation is with the Department of Inverse Problems and Mathematical Imaging. He holds a PhD from the University of Provence (2002) and a Habilitation from the Johannes Kepler University Linz (2009). His research focuses on mathematical analysis of partial differential equations, inverse problems, and applications in wave propagation, material sciences, and medical imaging. Key areas include acoustic and electromagnetic scattering, metamaterials, and nanoparticle-based imaging techniques. Current projects include the Austrian Science Fund (FWF)-funded studies on 'Electromagnetism with Extreme Materials' (2020–2024) and 'Mathematical Analysis of Imaging Modalities using Nanoparticles' (2018–2022). Selected grants and collaborations involve King Abdullah University of Science and Technology (KAUST) and the Nanjing Center for Applied Mathematics. His work bridges theoretical analysis with practical applications in engineering and biomedical sciences.

• Inverse Problems
• Mathematical Imaging
• Wave Propagation
• +3 more

Prof. Otmar Scherzer is a distinguished academic at the Faculty of Mathematics, Department of Mathematics, University of Vienna . His work spans Inverse Problems, Mathematical Imaging, Computational Mathematics, and Applied Mathematics , with a focus on tomography, neural networks, and medical imaging. Over nearly two decades, he has published extensively in journals like Inverse Problems , SIAM Review , and IEEE Transactions . 2025 : Advanced data-driven regularization and neural network applications in inverse problems. 2024 : Explored diffraction tomography, Hilbert space approaches to scattering, and motion detection algorithms. 2023 : Addressed uncertainty quantification, visco-acoustic imaging, and Doppler ultrasound interpolation. His recent research emphasizes uncertainty-aware blob detection, strain reconstruction in elastography , and Fourier-based tomography . Publications frequently integrate numerical experiments and computational inverse methods , reflecting a blend of theoretical and applied mathematics. Prof. Scherzer collaborates with institutions like RICAM (Johann Radon Institute) and contributes to hybrid imaging modalities such as quantitative optical coherence elastography and photoacoustic tomography . He has supervised projects in 3D shape reconstruction and non-convex regularization , though specific student names are not listed in the provided data.

• Inverse Problems
• Mathematical Imaging
• Computational Mathematics
• +3 more