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Miro DuhovicView profile

Researcher

• Composite Materials
• Finite Element Analysis
• Multiphysics Simulation
• +2 more

Miro Duhovic is a Researcher specializing in composite materials and multiphysics simulation, with a focus on finite element modeling and polymer composite manufacturing. He earned a Bachelor of Engineering (First Class Honors) in Mechanical Engineering and a PhD from the University of Auckland (2005). Currently, he leads process simulation research at the German Institute for Composite Materials (Institut für Verbundwerkstoffe GmbH) and holds an honorary staff position at the University of Auckland since 2008. Education: Bachelor of Engineering (First Class Honors) in Mechanical Engineering, University of Auckland (1998) PhD, University of Auckland (2005) His research spans deformation behavior modeling of composite materials, development of prepreg tapes with natural fibers, and simulation of thermoplastic composite manufacturing processes. He has contributed to peer-review journals and grant organizations, including the Netherlands Organisation for Scientific Research (NWO) and NSERC Canada. Scientific Awards: Foundation for Research Science and Technology (FRST) Nomination (2006-2008) University of Auckland Faculty of Engineering Teaching Award (2008) Maurice Paykel Graduate Scholarship (1999-2002)

Ira NeitzelView profile

Professor

• PDE-Constrained Optimization
• Numerical Analysis
• Optimal Control Theory
• +5 more

Professor Ira Neitzel leads the Research Group for Optimization with Partial Differential Equations at the Institute for Numerical Simulation, Faculty of Mathematics and Natural Sciences, University of Bonn. Her research focuses on PDE-constrained optimal control problems, numerical analysis, and phase-field fracture modeling. She maintains active collaborations with institutions including TU Darmstadt and Leibniz University Hannover. Her primary research interests include: PDE-Constrained Optimization Numerical Analysis of Optimal Control Problems Regularization Approaches for Nonsmooth Control Fracture Propagation Modeling using Phase-Field Methods Recent work emphasizes quasilinear parabolic PDEs, state constraints, and sparse control applications in fracture mechanics. Analysis of her 15 most recent publications (2019-2025) reveals consistent focus on: Mathematical foundations of phase-field fracture control Numerical methods for state-constrained problems Convergence analysis of SQP algorithms Error estimation in finite element discretization Key journals include SIAM Journal on Control and Optimization, ESAIM: COCV, and Numerische Mathematik. Her scientific contributions include leadership in DFG Priority Program SPP 1962 and organization of the "Women in Optimization" workshop series. Notable projects include "Optimizing Fracture Propagation Using Phase-Field Approach" (SPP 1962) and "Sparse Controls in Optimization of Quasilinear PDEs" (SFB 1060). Professor Neitzel advises doctoral researchers including Andreas Hehl and Konstantinos Dimitriou. She teaches advanced courses in Numerical Algorithms, Scientific Computing, and Graduate Seminars on Numerical Simulation. Her group maintains active participation in the International GAMM Activity Group on Optimization with PDEs.

• Machine Learning
• Surrogate Modeling
• Data Augmentation
• +5 more

Tobias Lehrer is a Doctoral Candidate at the Chair of Computational Solid Mechanics at the Technical University of Munich since 2023. His research focuses on integrating machine learning with computational mechanics for manufacturing optimization. 2023 - Present: Doctoral Candidate, Chair of Computational Solid Mechanics, TU Munich 2020 - 2023: Doctoral Candidate, Laboratory of Finite-Element-Method, OTH Regensburg 2018 - 2020: M.Sc. in Mechanical Engineering, OTH Regensburg His research interests span machine learning, surrogate modeling, data augmentation, synthetic data, generative AI, sheet metal forming, and sensitivity analysis. His publications emphasize deep drawing processes , parametric CAD modeling , and surrogate-based optimization for manufacturability assessment. Key projects include AMEDEO and eEgO, aiming to enhance early-stage prediction of sheet metal part feasibility through simulation-driven machine learning frameworks. In teaching, Tobias has led courses on structural optimization , computational mechanics for car body design , and structural mechanics modeling . His work bridges computational methods with industrial applications, particularly in automotive manufacturing.

• Computational Mechanics
• Structural Optimization
• Crash Simulation
• +4 more

Tanja Schnappinger is a PhD student at the Department of Computational Solid Mechanics, Technical University of Munich (TUM), affiliated with the Professorship for Computational Mechanics. Her research focuses on multi-fidelity methods, uncertainty quantification, and advanced modeling in computational mechanics. Education: PhD in Computational Solid Mechanics (2024–Now), Technical University of Munich M.Sc. in Computational Mechanics (2021–2024), Technical University of Munich, with participation in the Honors Program of the Bavarian Graduate School of Computational Engineering (BGCE) B.Sc. in Engineering (2017–2021), Technical University of Munich Semester abroad at National University of Singapore (2020) and Aalto University, Finland (2022) Research Interests: Tanja works on topology optimization of structures for nonlinear collision processes, multifidelity shape optimization, robustness analysis for crash and multiphysics applications, finite element modeling to minimize injuries, and multi-level material modeling for fiber composites. Her projects include AI-based model reduction and uncertainty quantification for dynamic rotor blade design. Scientific Awards: Honors Program of the Bavarian Graduate School of Computational Engineering (BGCE) Contact: Tanja is based at the Professorship for Computational Mechanics, Theresienstr. 90 (2nd floor), 80333 Munich. She can be reached at tanja.schnappinger@tum.de or +49 (89) 289 - 28691, Room 0106.02.634.

Dragos AnaView profile

Researcher

• Computational Mechanics
• Solid-State Batteries
• Plasticity
• +3 more

Dragos Ana serves as a Researcher at the Institute for Computational Mechanics within the Technical University of Munich (TUM), Germany, holding this position since 2024. His academic credentials include: Master of Science (M.Sc.) in Mechanical Engineering, Technical University of Munich (2024) Bachelor of Science (B.Sc.) in Mechanical Engineering, Karlsruhe Institute of Technology (2020) Dr. Ana's research specializes in computational modeling of solid-state batteries (SSBs) , focusing on electrochemical-mechanical coupling phenomena, and numerical simulation of plastic and viscoplastic material behavior for deformation analysis. His work bridges computational mechanics with advanced energy storage systems, developing finite element methodologies to address multiphysics challenges in battery technology and material response under complex loading conditions. He contributes to TUM's educational mission through the Finite Elements Internship course, providing practical computational training for engineering students.

Matthias MayrView profile

Lecturer

• Computational Mechanics
• Fluid-Structure Interaction
• High Performance Computing
• +6 more

Dr. Matthias Mayr is a Senior Researcher & Lecturer at the University of the Bundeswehr Munich, where he heads the Data Science & Computing Lab. He holds a permanent position at the Institute for Mathematics & Computer-Based Simulation and maintains affiliations with the RISK Research Center. Previously, he was a Postdoctoral Researcher at Sandia National Laboratories and TU München. His research focuses on coupled multiphysics problems including fluid-structure interaction, computational contact mechanics, and high-performance numerical methods. He develops monolithic coupling schemes, parallel solvers, and adaptive algorithms for large-scale simulations. Key application areas include biomedical engineering, cardiovascular mechanics, and materials science. His publications demonstrate consistent focus on computational mechanics innovations, particularly in developing efficient algorithms for multiphysics problems. Recent work emphasizes mortar methods, multigrid preconditioners, and HPC implementations for complex coupled systems. Scientific Awards: Robert J. Melosh Medal (Duke University, 2017) Multiple scholarships including Max-Weber-Programm (Bavaria, 2008-2010) Rudolf Diesel Award (TU München, 2009) He advises students in computational mechanics and HPC topics, supervising projects on multigrid methods, contact algorithms, and parallel FSI solvers. He contributes to major scientific software including Trilinos and 4C Multiphysics. He leads the Data Science & Computing Lab and participates in international research collaborations. He maintains memberships in GAMM, SIAM, IACM, and EUROMECH.

Mark SidorovicView profile

Researcher

• Fluid Structure Interactions
• Monolithic Approaches
• Matrix Free Methods
• +2 more

Mark Sidorovic serves as a Research Associate at the Institute for Computational Mechanics, Technical University of Munich since 2023, specializing in advanced numerical methods for engineering simulations. His academic qualifications include: Master of Science (M.Sc.) in Mathematics, University of Bonn (2023) Bachelor of Science (B.Sc.) in Mathematics, University of Bonn (2021) His research integrates computational fluid dynamics with structural mechanics through innovative Monolithic Approaches and Matrix Free Methods , supported by rigorous theoretical frameworks in Functional Analysis and PDE Theory . This work enables high-fidelity modeling of complex multiphysics systems like fluid-structure interactions. He instructs the practical course Practical Software Development for Complex Simulation Environments in Engineering , equipping students with hands-on skills for building industrial-grade simulation tools using modern computational frameworks.

Michael KaliskeView profile

Professor

• Phase-field modeling
• Fracture mechanics
• Material point method
• +7 more

Michael Kaliske is a full-time Professor at Technische Universität Wien , specializing in computational mechanics and material modeling. His research focuses on advanced numerical methods like phase-field modeling, material point method (MPM), and digital twin frameworks for civil, mechanical, and materials engineering applications. Research Interests: Phase-field approaches for fracture and fatigue analysis Micromechanical homogenization techniques Multiphysics modeling of concrete and geopolymer materials Digital twin systems for infrastructure and tire technology Recent Article Trends: His 2025 publications emphasize phase-field modeling of multi-material interactions (wood, concrete, tempered glass), AI integration for pavement diagnostics, and multiscale approaches for high-strain-rate concrete analysis. The 2024 works focus on snow mechanics, viscoelastic modeling, and numerical stabilization methods in MPM.

• Finite Element Analysis
• Isogeometric Analysis
• Structural Optimization
• +4 more

Suneth Warnakulasuriya is a Researcher at the Technical University of Munich , leading the Simulation Laboratory since 2024. His work spans Finite Element Analysis , Isogeometric Analysis , and Structural Optimization , with a focus on Digital Twins , Wind Engineering , and Multi-field Problems . PhD in Computational Mechanics (TUM 2015–2018) Bachelor of Mechanical Engineering (University of Moratuwa, 2009–2013) Postdoctoral Researcher at TU Braunschweig (2022–2024) His research includes adjoint-based sensitivity analysis , fluid-structure interaction , and shape optimization for additive manufacturing. Recent work explores high-fidelity digital twins for structural weakness detection and wind-induced vibration mitigation . Publications emphasize computational efficiency and multi-fidelity uncertainty quantification in wind engineering applications. Projects like CoDA , MistralWind , and FlexWing leverage his expertise in isogeometric B-Rep analysis and network regularization . He contributes to software tools such as Kratos Multiphysics and Kiwi!3D , with teaching engagements in Bauingenieurwesen and Computational Mechanics programs.

• Wind Engineering
• Uncertainty Quantification
• Structural Optimization
• +5 more

Anoop Kodakkal is a Researcher at the Chair of Statics and Dynamics of the Technical University of Munich , where he has worked since 2024. He was previously a Research Associate at the Chair of Structural Analysis (2020-2024) and completed his doctoral studies (Dr.-Ing.) at TUM as a DAAD scholarship holder (2016-2020). He holds an M.Tech in Structural Engineering from IIT Delhi (2012-2014) and a B.Tech in Civil Engineering from NIT Calicut (2008-2012). Research Interests: Wind Engineering Uncertainty Quantification (UQ) Fluid-Structure Interaction Structural Optimization Isogeometric Analysis Machine Learning in Structural Dynamics Scientific Awards: DAAD Doctoral Research Grant (2016-2020) DAAD IIT Master Sandwich Scholarship (2013-2014) Recent Publications focus on wind-induced vibrations, uncertainty quantification, and machine learning integration with finite element analysis. Notable trends include: Optimization under uncertain wind conditions Development of neural networks for structural dynamics Standardization of membrane roof design Multi-fidelity modeling for turbulent flows Stochastic analysis of nonlinear systems Computational tools for wind engineering

• Computational Mechanics
• Isogeometric Analysis
• Structural Optimization
• +2 more

Qining Tang is a Research Fellow at the Chair of Statics and Dynamics, Technical University of Munich, holding this position since 2025. Her work centers on advancing computational methodologies for structural engineering through direct integration of CAD systems and finite element analysis. Her academic background includes: Bachelor of Science in Civil Engineering (2017-2021) from Southeast University, China Master of Science in Computational Mechanics (2021-2024) from Technical University of Munich, completed through the Bavarian Graduate School of Computational Engineering (BGCE) Honor's Program Ms. Tang specializes in Isogeometric B-Rep Analysis (IBRA), developing techniques for CAD-integrated modeling and simulation optimization that eliminate traditional meshing requirements. Her research enables high-fidelity structural simulations on complex geometries, with direct applications in lightweight construction, additive manufacturing, and membrane structure design. These innovations significantly impact aerospace, civil infrastructure, and wind engineering sectors by improving design accuracy and computational efficiency. As part of Professor Roland Wüchner's research group, she contributes to multiple third-party funded projects including CoDA, MistralWind, WINSENT, and FlexWing, which address challenges in fluid-structure interaction, wind-excited vibrations of membrane structures, and flexible wing design. The chair's research ecosystem leverages advanced software platforms like Carat++, Kratos Multiphysics, and Kiwi!3d to push boundaries in computational structural mechanics.

• Vibroacoustics
• Hand-Arm Vibration
• Occupational Health
• +5 more

Dr.-Ing. Magdalena Scholz is a Research Associate at the Technical University of Munich (TUM) , affiliated with the School of Engineering and Design and the Department of Engineering Physics and Computation . She works in the Chair of Vibroacoustics of Vehicles and Machines under Prof. Steffen Marburg. Research Focus: Hand-arm vibrations, vibroacoustics, psychophysics, and computational modeling using COMSOL Multiphysics and Simulink. Teaching: Assistant in courses like Vibroacoustic Finite Element Simulations and Introduction to Vibroacoustics. Research Trends: Her publications emphasize occupational health impacts of vibration exposure, particularly vibration-induced white finger, with methodologies spanning experimental analysis, computational modeling, and epidemiological studies. She explores exposure-response relationships, prevalence prediction, and sensor placement challenges. Labs & Collaborations: Active in the Chair of Vibroacoustics of Vehicles and Machines, engaging in interdisciplinary projects linking acoustics, human factors, and engineering mechanics.

Ole BurghardtView profile

Researcher

• Optimization
• Adjoint Methods
• Computational Fluid Dynamics
• +3 more

Dr. Ole Burghardt is a postdoctoral researcher at the Chair for Scientific Computing, RPTU Kaiserslautern-Landau, Germany, with office located at Paul-Ehrlich-Straße 34, Building 36, Room 36-414. He contributes to the SciComp research group under Prof. Dr. Nicolas R. Gauger. His research specializes in multi-disciplinary design optimization using the open-source SU2 framework, with core expertise in discrete adjoint methods for sensitivity analysis in fluid dynamics and multiphysics systems. Current projects include porting SU2 solvers to STX high-performance hardware through the STXDemo initiative, developing multiphysics discrete adjoint capabilities, conjugate heat transfer integration, and automatic differentiation components. Upcoming work focuses on computational graph debugging tools for SU2 developers and discrete adjoint extensions for multi-stage turbomachinery. As an active SU2 contributor, Dr. Burghardt bridges theoretical methods with practical implementation in scientific computing, emphasizing open-source collaboration and high-fidelity simulation for engineering optimization challenges.

• Solar Energy Conversion
• Photoelectrochemical Water Splitting
• Semiconductor Physics
• +5 more

Professor Roel van de Krol is a leading materials scientist at the Helmholtz-Zentrum Berlin's Institute for Solar Fuels, specializing in photoelectrochemical systems for solar energy conversion. With an extensive publication record spanning from 2013 to 2025, he maintains an active research program focused on developing advanced materials for solar water splitting and hydrogen production. His work bridges fundamental materials science with practical solar fuel applications. Dr. van de Krol's research interests center on semiconductor photoelectrodes, particularly metal oxide systems like bismuth vanadate (BiVO 4 ) and copper bismuth oxide (CuBi 2 O 4 ). His team investigates charge carrier dynamics, surface modification strategies, and novel deposition techniques to enhance photoelectrochemical efficiency. Recent work explores bubble management in water splitting systems, biomass valorization through photoelectrochemical oxidation, and the integration of multi-junction absorbers for artificial leaf structures. Analysis of his recent publications reveals a strong emphasis on understanding fundamental charge transport limitations in photoabsorbers while simultaneously addressing practical engineering challenges in solar fuel devices. His work spans from ultrafast electron dynamics studies to techno-economic assessments of integrated solar fuel systems, demonstrating both depth in fundamental science and breadth in applied technology development. Professor van de Krol maintains extensive collaborations across the international solar fuels research community, frequently working with groups at HZB, TU Berlin, and international institutions. His research program includes both fundamental materials investigations and device-level engineering, contributing significantly to the advancement of solar-driven hydrogen production technologies.

• Astrophysics
• Computational Physics
• Protoplanetary Disk Dynamics
• +3 more

Wilhelm Kley is a Professor at the Institute for Astronomy and Astrophysics (IAAT) , University of Tübingen, affiliated with the Department of Physics and Department of Computational Physics. His research focuses on astrophysical disk dynamics , particularly protoplanetary disks , binary star systems , and planet formation using hydrodynamic simulations . Key research areas include: Protoplanetary disk structure and evolution Planet-disk interactions Circumbinary disk dynamics Hydrodynamic turbulence in disks Transitional disk morphology His work often involves numerical simulations and code development (e.g., FARGOCPT ) to model complex astrophysical systems. Recent publications explore topics such as viscous circumbinary disks , stability of coorbital planets , and recycling of planetary atmospheres .