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Joscha GedickeView profile

Professor

• Numerical Analysis
• Computational Mathematics
• Finite Element Methods
• +3 more

Joscha Gedicke is a Professor at the Institute for Numerical Simulation (University of Bonn), specializing in Numerical Analysis , Finite Element Methods , and Scientific Computing . His research focuses on adaptive algorithms, error estimation, and computational methods for partial differential equations (PDEs) and optimal control problems. Contact: gedicke@ins.uni-bonn.de | +49 228 73-69835 Teaching: Lectures on Hybrid High-Order Methods (V5E1), Adaptive Finite Element Methods (S4E1), and Discontinuous Galerkin Methods (V5E5). Research Trends: Gedicke's work spans Numerical Methods for PDEs , Adaptive Finite Element Analysis , Mixed and Discontinuous Galerkin Formulations , and Error Estimation . His recent publications emphasize Virtual Element Methods and Robust Discretizations for magnetostatic and optimal control problems. Collaborative Networks: He collaborates with researchers in computational mathematics, including institutions like TU Munich, University of Milano-Bicocca, and the University of Bonn's research seminar on Mathematics of Computation .

Arie LevantView profile

Professor

• Nonlinear Control Theory
• Sliding Mode Control
• Homogeneous Discontinuous Control
• +2 more

Prof. Arie Levant is a Professor in the Department of Applied Mathematics at Tel Aviv University's School of Mathematical Sciences, actively teaching Spring 2025 courses with Monday reception hours via Zoom (17:10-18:00). His foundational work established High-Order and Homogeneous Sliding Mode Control theories alongside Robust Exact Differentiation. His educational background includes: Ph.D. (1987) from USSR Academy of Sciences, Moscow: Thesis "Higher-order sliding modes and their application in control of uncertain processes" supervised by Prof. S.V. Emelyanov Postgraduate studies (1983-1987) in mathematical control theory at same institute B.Sc./M.Sc. (1980) from Moscow State University under Prof. V.I. Arnold in Theory of Differential Equations Levant's research centers on Nonlinear Control Theory with specialization in Sliding Mode Control , Homogeneous Discontinuous Control , and Robust Exact High-Order Differentiation . His methodologies enable finite-time-exact tracking in uncertain systems and real-time noise-robust signal differentiation, addressing fundamental challenges in control system resilience. Analysis of his 15 most recent publications (2016-2023) reveals concentrated advancements in chattering reduction, discretization for digital implementation, and noise filtering within sliding mode frameworks. These works demonstrate consistent focus on bridging theoretical control principles with practical engineering applications, particularly in real-time signal processing and robust controller design.

• Numerical Analysis
• Partial Differential Equations
• Finite Element Methods
• +5 more

Prof. Dr. Dietmar Gallistl is a faculty member at Friedrich-Schiller-Universität Jena, holding the Professorship for Numerical Mathematics within the Faculty of Mathematics and Computer Science. His research focuses on numerical methods for partial differential equations, including mixed finite elements, multiscale methods, adaptive algorithms, and computational homogenization. He teaches courses such as Theory and Numerics of Partial Differential Equations and Iterative Solvers for Partial Differential Equations . His research interests span various areas including discretization techniques for nonlinear PDEs, error analysis, and computational methods for wave propagation. He has contributed to software tools for finite element mesh refinement and numerical simulations. Recent work includes publications on the Gross-Pitaevskii eigenvalue problem, Monge-Ampère equations, and time-harmonic Maxwell equations. Prof. Gallistl's academic work emphasizes rigorous mathematical analysis alongside practical numerical implementation. His teaching materials include lecture notes on computational PDEs and finite element methods available on his university webpage.

Winnifried WollnerView profile

Professor

• Optimization
• Applied Mathematics
• PDE-Constrained Optimization
• +7 more

Prof. Dr. Winnifried Wollner is a Professor of Optimization at the University of Hamburg's Department of Mathematics, within the Faculty of Mathematics, Computer Science and Natural Sciences. His research focuses on optimization with partial differential equations (PDEs), numerical methods for PDEs, and computational mechanics, particularly in the context of shape optimization and fracture mechanics. He holds a PhD from Heidelberg University (2010) and has held academic positions at TU Darmstadt and the University of Hamburg. He is actively involved in editorial boards of journals like the SIAM Journal on Control and Optimization and the OPTPDE Problem Collection. His work emphasizes adaptive numerical methods, phase-field fracture modeling, and optimization under constraints. Awards include the 2014 Teacher of the Summer Term award at Hamburg. He teaches courses on optimization, numerical methods, and PDE-constrained problems, and leads research projects funded by DFG and the Excellence Cluster CLICCS. Professional roles include membership in the MIN Faculty Council, the Department's Equal Opportunities Team, and leadership of the GAMM Student Chapter. His research spans interdisciplinary applications in engineering and computational science, with over 66 publications in top journals. Current projects include the DFG Research Training Group 2583 on fluid dynamics and optimization, and the SPP 1962 project on phase-field fracture simulation.

Alf GerischView profile

Senior Lecturer

• Mathematical Modeling
• Numerical Analysis
• Scientific Computing
• +6 more

Dr. Alf Gerisch is a Senior Lecturer at the Department of Mathematics, Technical University of Darmstadt, where he leads the Numerical and Scientific Computing Group. His research focuses on mathematical modeling, numerical simulation, and analysis of biological, material, and natural science processes, particularly in tumor models, cell adhesion, bone fracture healing, and multiscale mechanical properties of tissues. He has organized and contributed to numerous international conferences, including ENUMATH2025 and ECMTB 2024. His work integrates advanced numerical methods like peer time integration schemes and uncertainty quantification, with applications in biomedical systems and soft matter. Education: Ph.D. in Numerical Analysis (2001, University of Halle-Wittenberg), M.Sc. in Applied Mathematics (1997, University of Dundee). Research Interests: Dr. Gerisch advances numerical methods for taxis-diffusion-reaction systems, develops computational frameworks for uncertainty quantification, and models biological processes such as tumor invasion and cell migration. His projects include leadership of the DFG-funded Multiscale structure-functional modeling of musculoskeletal mineralized tissues (2009–2016) and membership in SFB Transregio 154 and 146. Publications: Over 50 peer-reviewed articles, including contributions to journals like Journal of Computational Physics , Bulletin of Mathematical Biology , and Computer Methods in Biomechanics and Biomedical Engineering . Recent work explores nonlocal models of cell adhesion and data-driven approaches for gas networks. Teaching: Offers courses in numerical linear algebra, mathematical biology modeling, scientific programming, and finite element methods. Consultation hours via Zoom during lecture weeks. Grants & Projects: Co-led DAAD-funded research visits to India (2017), and collaborates internationally on biomechanical and computational biology initiatives. Labs/Teams: Active in the Numerical Analysis and Scientific Computing research group, contributing to the Kardos adaptive Finite Element software and the asymptotic homogenization framework for composite materials.

• Reactor physics
• Nuclear engineering
• Advanced nuclear fuel cycles
• +2 more

Emil Fridman is a Senior Scientist in the Reactor Safety Division at the Institute of Resource Ecology, Helmholtz-Zentrum Dresden-Rossendorf (HZDR). He has been with HZDR since 2008, progressing from Research Assistant to his current position since 2015, and previously served as Head of the Junior Research Group Reactor Physics from 2012-2014. Dr. Fridman earned his Ph.D. in Nuclear Engineering from Ben-Gurion University between 2004-2008. His academic background forms the foundation for his expertise in nuclear reactor systems and safety analysis. His research focuses on reactor physics and engineering, advanced nuclear fuel cycles, safety analysis of nuclear reactors, and nuclear waste management. Dr. Fridman has led and participated in numerous international projects including Horizon Europe ESFR-SIMPLE (2022-2026), Horizon 2020 McSAFER (2020-2023), and several IAEA Coordinated Research Projects on sodium fast reactor safety and benchmarking. His work bridges theoretical modeling with practical safety applications for next-generation nuclear systems. Analysis of Dr. Fridman's recent publications (2022-2025) reveals a strong emphasis on sodium-cooled fast reactors (SFRs), with particular focus on safety analysis, neutronics modeling, and code development/validation. His research frequently involves international collaborations across Europe and addresses critical challenges in reactor transient analysis, core deformation scenarios, and benchmark validation for next-generation nuclear systems. The consistent publication record demonstrates his leadership in advancing computational methods for nuclear safety analysis. Dr. Fridman has secured significant research funding through major international projects including Horizon Europe ESFR-SIMPLE, Horizon 2020 McSAFER, and multiple IAEA Coordinated Research Projects. His leadership in the Reactor Safety Division at HZDR involves mentoring junior researchers and coordinating international collaborations across European nuclear research institutions. As a key member of the Reactor Safety Division at HZDR, Dr. Fridman contributes to the development and validation of the DYN3D/ATHLET code system for reactor safety analysis. His work is integrated within HZDR's broader mission in resource ecology and nuclear safety research, collaborating with teams across the Institute of Resource Ecology and international partners in the European nuclear research community.

Ben SteinbergView profile

Professor

• Wave Propagation
• Electromagnetic Fields and Waves
• Optics
• +4 more

Ben Steinberg is a Professor at the School of Electrical Engineering within the Faculty of Engineering at Tel Aviv University. His work focuses on Electromagnetics , Wave propagation and scattering , and Photonic Crystals , with applications in Artificial materials and Plasmonic structures , as well as Propagation in complex (multi-scale) medium and effective properties. He has held major roles in TAU's academic governance, including heading the Engineering Faculty's PhD Students Committee and serving on the TAU Promotion & Nomination Committee. Education: 1985-1989: PhD in Electrical Engineering, Tel Aviv University 1989-1991: PostDoc at The Catholic University of America, Washington DC Research interests span Electromagnetics Wave propagation and scattering Photonic Crystals, artificial materials, plasmonic structures Propagation in complex (multi-scale) medium and effective properties Article trends emphasize Electromagnetics , Photonics , and Condensed Matter Physics , with subfields like Non-Reciprocal Waveguides , Photonic Crystal Devices , Plasmonic Structures , Wave propagation in multi-scale medium , Green's Function Theory , and Effective Properties of Materials . Advising includes PhD and MSc students such as Yarden Mazor , Yakir Hadad , Roman Novitski , and Vitaliy Lomakin , with research topics in Plasmonics , Clustering , and Waveguide Sensitivity . He has also co-supervised projects on Optical Gyroscopes and Disordered Photonic Crystals . Academic roles include: Head of Faculty of Engineering Admission Committee (2001-2005) Head of Faculty of Engineering PhD Students Committee (2006-2009) Member of TAU Promotion & Nomination Committee (2010-2013) Industry contributions include co-founding XellAnt Inc. as CTO (2001-2004) and consulting for high-tech companies.

• Rate-Independent Systems
• Damage Processes
• Crack Propagation
• +6 more

Prof. Dr. Dorothee Knees is a mathematician at the University of Kassel, holding the Professorship for Analysis since 2014. Her research focuses on variational calculus, non-smooth evolutionary equations, and mathematical models for damage processes, crack propagation, magnetic phenomena, and free surfaces in structural mechanics. She has led collaborative projects such as "Rate-independent systems in solid mechanics" with Jörn Mosler and participated in interdisciplinary initiatives like SPP 2256 on variational methods in engineering. Her work bridges mathematical analysis and computational mechanics, emphasizing physical relevance and numerical efficiency. University of Kassel (2014–present): Professorship for Analysis WIAS Berlin (2008–2010): Head of Leibniz Group "Modelling of Damage Processes" University of Stuttgart (2001–2005): Research Associate in Institute for Applied Analysis and Numerical Simulation Her research spans rate-independent systems, non-convex energies, and optimal control in dissipative materials. Key projects include analysis of phase-field fracture models, balanced viscosity solutions, and adaptive numerical methods for crack evolution. She has co-authored foundational papers on micromorphic continua, stress regularity in composites, and J-integrals for cracks in power-law materials. Scientific awards include a scholarship from the Robert Bosch Foundation's Fast Track Program (2005–2008). As an editor, she has contributed to special issues on PDEs and nonsmooth continuum mechanics.