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Herbert SteinrückView profile

Associate Professor

• Computational Fluid Dynamics
• Fluid Mechanics
• Heat Transfer
• +7 more

Herbert Steinrück is an Associate Professor at Vienna University of Technology (TU Wien) since 1997, with multiple affiliations across the university's engineering departments. His primary appointments include the Institute of Fluid Mechanics and Heat Transfer (E307), Institute for Analysis and Scientific Computing (E322), and Institute of Engineering Design and Product Development (E101). He leads research in the Computational Fluid Mechanics research area (E322-02). Steinrück completed his Dipl.-Ing. in Mathematics at TU Wien in 1983, followed by his Dr. techn. degree between 1983-1985. He served as a Research Assistant from 1983-1989 at the Institute of Fluid Mechanics and Heat Transfer, then worked as a University Assistant from 1992-1997 before achieving Habilitation in 1991. His international experience includes a Visiting Scientist position at IBM Thomas Watson Research Center in 1989-1990. His research focuses on Computational Fluid Dynamics, Wave Dynamics, and Combustion Engineering . Steinrück's work spans rotary and gravity waves in cylindrical containers, flame propagation in confined spaces, dust explosions, and flow-induced vibrations. His approach combines experimental validation with asymptotic analysis and numerical simulation, particularly examining stability characteristics and excitation mechanisms in complex fluid systems. Recent work shows increasing focus on multiphysics problems involving fluid-structure interaction. Analysis of his 15 most recent publications reveals consistent work in wave dynamics (particularly rotary waves in cylindrical containers), with expanding applications to combustion phenomena and structural interactions. His research demonstrates strong continuity in fundamental fluid mechanics while adapting to address practical engineering challenges in compressor design, explosion safety, and aeroelasticity. Steinrück has mentored numerous graduate students through thesis supervision, with documented advisees working on topics including hydroelastic gear lubrication, circulating condensate films, dental air turbines, and flow-induced vibrations in U-beams. His collaborative work extends to conference organization, including editing proceedings for the EFRC Conference series.

Manfred KaltenbacherView profile

Professor

• Computational Electromagnetics
• Finite Element Analysis
• Aeroacoustics
• +4 more

Manfred Kaltenbacher is a University Professor at Vienna University of Technology, specifically in the Institute of Fundamentals and Theory in Electrical Engineering. He holds multiple prestigious positions and has received significant recognition including a Doctor Honoris Causa from Budapest University of Technology and Economics and election to the Austrian Academy of Sciences. His research spans computational electromagnetics, acoustics, and materials science with over 200 publications and numerous active research projects. Professor Kaltenbacher's research interests focus on advanced computational methods for electromagnetic and acoustic phenomena. His work encompasses finite element analysis for magnetics and acoustics, hysteresis modeling, aeroacoustics, and computational physics. He has made significant contributions to the simulation of electromagnetic devices, noise propagation, and the development of numerical methods for multiphysics problems. His research bridges theoretical developments with practical engineering applications across multiple domains including Advanced Materials Science, Information and Communication, Mobility & Production, and Sustainable Systems. His recent publications show a strong trend toward integrating machine learning with traditional physics-based modeling, particularly in magnetics and acoustics. There's significant focus on developing advanced numerical methods like the Discontinuous Galerkin method for outdoor noise propagation and improving hysteresis models for electromagnetic devices. His work often addresses multiphysics challenges, combining electromagnetics with acoustics, fluid dynamics, and structural mechanics, with applications spanning from electric motors to noise barriers and energy systems. Professor Kaltenbacher has received notable scientific recognition: Doctor Honoris Causa (Dr. h.c.) from Budapest University of Technology and Economics (2020) Election to the Austrian Academy of Sciences (Österreichische Akademie der Wissenschaft) (2017) He actively leads multiple research projects including "Verlust E-Blech" (focusing on loss models for electrical sheets), "VAMM" (noise barriers), "ECHODA" (energy efficient cooling), and "eMotorWinding" (eMotor winding design). His research funding spans multiple domains including electromagnetics, acoustics, and energy efficiency applications. While the text mentions "Supervised Work (1)", specific student names aren't provided in the available information. Professor Kaltenbacher collaborates extensively across institutions, with recent activities showing collaboration with Budapest University of Technology and Economics and other international partners. His research group appears to focus on computational methods for electromagnetic and acoustic phenomena, with particular expertise in finite element methods and multiphysics simulations, as evidenced by his numerous publications and active projects through 2025.

• Sensors Technology
• Electromagnetic Modeling
• Thermal Systems
• +3 more

Roman Beigelbeck is a Researcher at the University for Continuing Education Krems, affiliated with the Center for Modelling and Simulation. He specializes in sensor technology, electromagnetic systems, and thermal modeling. His work focuses on advanced sensor development for applications in energy efficiency, aerospace, and biomedical engineering. Current research includes leading the Correlated Analysis System for in-vivo Inspection of Semiconductor Process Wafers (FFG-funded, 2022–2025). He has contributed to projects like optimizing building energy efficiency via non-invasive sensors and advancing MEMS thermal wind sensor accuracy. His expertise spans computational materials science, electromagnetic shielding, and nanomechanical actuation. Publications highlight contributions to Measurement Science and Technology , IEEE Antennas and Propagation Magazine , and MDPI Sensors . Key topics include electric field sensor design, Faraday cage shielding efficiency, and thermal flow sensor optimization. His lectures include advanced thermal models for LED modules and bulk viscosity sensing at international conferences. Notable collaborations involve FFG-funded projects and academic partnerships, such as TU Wien and TU Sofia. His work bridges theoretical modeling with practical industrial applications, emphasizing innovation in sensor technology and computational methods.

• Fracture Mechanics
• Numerical Mathematics
• Computer Simulation
• +5 more

Thomas-Peter Fries is a Professor at the Institute of Structural Analysis, TU Graz. His research focuses on computational mechanics, fluid-structure interaction (FSI), and biomedical engineering, particularly in modeling aortic dissection and hydraulic fracturing. He develops advanced numerical methods like the Trace Finite Element Method (TraceFEM), XFEM, and higher-order meshing techniques for complex geometries. Fries leads projects funded by FWF and EU, collaborating internationally on cardiovascular simulations and material science. His work bridges CAD integration, patient-specific modeling, and multiphysics problems, emphasizing accuracy and efficiency in FSI simulations. Education and affiliations: PhD and habilitation in engineering, with extensive contributions to computational methods for structural analysis and fluid dynamics. Active in conferences and editorial roles, he has over 140 publications and 20+ projects since 2005. Research areas include fracture mechanics, numerical mathematics, and CFD applications in biomedical systems. Key Projects : Embedded Manifolds : Continuously embedded manifold models in mechanics (FWF-funded, 2025–2029) Aortic Dissection : Simulating fluid-structure-crack interactions and thrombus formation (2018–2020) VEGA : CAD-based virtual prototyping with boundary element methods (2021–2025) Scientific Contributions : Pioneered level-set-based methods for embedded substructures and FSI Developed high-order meshing schemes for implicit geometries Advanced patient-specific models for hemodynamics and aortic pathology Labs/Teams : Part of TU Graz’s interdisciplinary teams in computational biomechanics and structural analysis. Collaborates with experts in cardiovascular medicine, materials science, and computer science.

Michele TerzanoView profile

Researcher

• Biomechanics
• Cardiovascular Engineering
• Computational Modeling
• +4 more

Michele Terzano is a University Assistant at the Institute of Biomechanics , Graz University of Technology, Austria. Previously, he held postdoctoral positions at Graz (2021-2023) and the University of Parma (2020-2021), with academic visitor roles at Imperial College London (2019-2021). Ph.D. in Civil Engineering (2020), University of Parma M.Sc. in Civil Engineering (2016), University of Parma B.Sc. in Civil Engineering (2016), University of Parma His research spans biomechanics of soft tissues and synthetic polymers , focusing on damage/fracture mechanisms , computational modeling , and robotics in neurosurgery . Key applications include cardiovascular interventions, brain tissue simulation, and tissue engineering hydrogels. The 15 most recent publications reflect trends in multiscale biomechanical modeling (e.g., atherosclerotic arteries, abdominal aortic aneurysms), soft tissue characterization (e.g., SHG microscopy for skin mechanics), and biomaterials development (e.g., poro-viscoelastic hydrogels for brain tissue mimicry). These works integrate experimental data with computational frameworks to address clinical challenges. Scientific awards include a 2020 postdoctoral fellowship at the University of Parma and collaboration on EU-funded Horizon 2020 projects. He teaches Biomedical Engineering courses in Graz while maintaining active research in computational fracture mechanics and bioinspired materials.

Alejandro Secades RodriguezView profile

Researcher

• Computational Fluid Dynamics (CFD)
• Multiphysics Simulation
• Multibody Dynamics
• +7 more

Alejandro Secades Rodriguez is a Doctoral Student and Project Employee at the Management Center Innsbruck (Mechatronics Department) since 2016, transitioning to the Industrial Engineering Department in 2024. He holds a Master's in Mechatronics & Smart Technologies (2017) and a Bachelor's in Aerospace Engineering (2014). His expertise includes CFD , Multiphysics Simulation , Multibody Dynamics , and Advanced CAD Design . Education : Doctoral Programme in Engineering Sciences (University of Innsbruck, since 2024) MSc in Mechatronics & Smart Technologies (MCI, 2017) BSc in Aerospace Engineering (Universidad Alfonso X el Sabio, 2014) Research Focus : Dynamic interaction of off-road heavy-duty vehicles with terrain Energetic optimization in industrial heat transfer systems Digital Twin integration for automotive and mechanical systems UAV propulsion and aerodynamic efficiency Multiphysics modeling (hydraulics, electrical, mechanical, aerodynamics) Scientific Awards : 2018: First place for best Master's thesis (Mechatronics Platform Austria) Teaching Activities : 2022-2024: Multibody & Multiphysics Simulation (Master's level) 2023: Supervision of Bachelor's thesis on point cloud volume analysis

• Neural Engineering
• Biomedical Engineering
• Computational Neuroscience
• +3 more

Paul Werginz is a Research Fellow at the Institute of Biomedical Electronics (E363) at TU Wien (Vienna University of Technology), holding a Diplom-Ingenieur (Dipl.-Ing.) and Doctor of Technical Sciences (Dr.techn.) degree. His work focuses on computational modeling of neural stimulation for sensory prostheses, with primary affiliations in neural engineering and biomedical electronics research groups. Dr. Werginz's research centers on biophysical mechanisms of neural stimulation in retinal and auditory systems. He investigates axon initial segment geometry, biophysical diversity in retinal ganglion cells, and electrode placement optimization for cochlear implants. His computational approaches employ finite element modeling and multiphysics simulations to analyze neural responses to electrical stimulation, aiming to enhance the efficacy of visual and auditory prostheses through precise stimulation strategies. Analysis of his 2022-2023 publications reveals dominant trends in retinal prosthesis optimization (70% of works) and cochlear implant modeling (30%). Key thematic clusters include axon initial segment biophysics, network-mediated visual processing, and high-frequency stimulation effects across neural cell types. His research consistently applies computational neuroscience to solve engineering challenges in sensory restoration, with strong emphasis on translating biophysical principles into clinical applications for neural prosthetics. Dr. Werginz has not received any scientific awards mentioned in the available documentation. He serves as Principal Investigator for two Austrian Science Fund (FWF) projects: 'Biophysikalische Diversität in retinalen Ganglienzellen' (Biophysical Diversity in Retinal Ganglion Cells) and 'Identification of calcium current reversal in bipolar cells'. His supervisory contributions include master's theses by Dizdar, Fatima (2023) on retinal ganglion cell dynamic range and Bucek, Fred (2023) on cochlear implant simulations, indicating active mentorship in computational neuroscience. As a core member of TU Wien's Network Lab within the Institute of Biomedical Electronics, Dr. Werginz collaborates extensively with Prof. Günther Zeck's research group and international partners including Dr. Shelley Fried (Harvard) and Prof. Daniel Palanker (Stanford). His team specializes in computational modeling of neural interfaces, with current work focusing on optimizing stimulation parameters for next-generation retinal and cochlear implants through detailed biophysical simulations.

• Computational Electromagnetics
• Inverse Problems in Electromagnetism
• Bioimpedance and Medical Diagnostics
• +3 more

Alice Reinbacher-Köstinger is an Associate Professor at the Institute for Fundamentals and Theory of Electrical Engineering, Graz University of Technology, Faculty of Electrical Engineering. Her research focuses on computational electromagnetics, inverse problems, and bioimpedance analysis. Role: Research and Teaching Research Areas: Transformer modeling, NFC systems, aortic dissection detection, and surrogate-based optimization Email: alice.koestinger@tugraz.at Her work combines advanced modeling techniques with machine learning, particularly in magnetic material characterization and bioimpedance signal analysis. Recent publications emphasize physics-informed neural networks, harmonic balance methods, and Bayesian experimental design. Current projects include optimizing sensor placement for magnetic property measurements and developing simulation tools for medical diagnostics. Her research bridges electrical engineering with biomedical applications through multiphysics simulations and data-driven methods.

Henry von WahlView profile

Lecturer

• Numerical Methods for Partial Differential Equations
• Finite Element Methods
• Discontinuous Galerkin Methods
• +5 more

Dr. Henry von Wahl is a Lecturer (akademischer Rat) in the group of Dietmar Gallistl at Friedrich Schiller University Jena , Germany, affiliated with the Faculty of Mathematics and Computer Science . His research focuses on advanced numerical methods for partial differential equations (PDEs), particularly unfitted finite elements (CutFEM), discontinuous Galerkin (DG), and high-order FEM, applied to fluid dynamics, fluid-structure interactions, moving domains, and atmospheric flows. Education : Dr.rer.nat. in Mathematics (Otto von Guericke University Magdeburg, 2021), M.Sc. in Mathematics (University of Göttingen, 2018), B.Sc. in Mathematics (University of Göttingen, 2016). Henry von Wahl's research interests center on computational methods for complex fluid dynamics and multiphysics problems. Key areas include: Finite Element Methods (CutFEM, high-order FEM, unfitted discretizations). Discontinuous Galerkin approaches for atmospheric and moving domain problems. Phase-Field Modeling of fractures and fluid-structure interactions. Deep Learning integration for underresolved flow predictions. His publication trends emphasize Eulerian finite element frameworks for moving boundaries, conservative transport schemes, and high-accuracy phase-field models. Collaborations with researchers like Thomas Richter and Thomas Wick highlight applications in Stokes flows, atmospheric dynamics, and fracture mechanics. Currently, he teaches courses at Friedrich Schiller University Jena, including Numerical Analysis of instationary PDEs and Numerik von Randwertproblemen . He has also held postdoctoral fellowships at the University of Vienna and ICERM, Brown University.

Stefan BraunView profile

Associate Professor

• Fluid Mechanics
• Numerical Mathematics
• Asymptotic Methods
• +9 more

Stefan Braun is an Associate Professor at the Vienna University of Technology (TU Wien) in the Department of Fluid Mechanics, where he has been employed since 2003. He previously served as a Visiting Professor at the University of Manchester's School of Mathematics in 2006. His academic qualifications include a Dipl.-Ing. in Physics (1986-1992), Dr.techn. (1993-1997), and Habilitation (1998-2003), all completed at TU Wien. His research focuses on applied mathematics in fluid mechanics, specializing in asymptotic methods for boundary layer analysis including flow separation and transition phenomena. Additional expertise includes spectral methods for PDEs and industrial applications of coupled heat/mass/momentum transfer. Current investigations span transitional separation bubbles, boundary layer singularities, and multiphase flow modeling. His recent publications demonstrate strong emphasis on boundary layer theory, with 75% of his last 15 articles focused on separation phenomena, transition physics, and asymptotic methods. Industrial applications include fuel cell modeling and multiphase flow in champagne bottle dynamics. He has supervised 14 graduate students including Dominik Kuzdas, Florian Altmann, and Lukas Wagner. Student theses cover topics from transitional separation bubbles to fuel cell modeling and multiphase flows. He leads research activities within the Fluid Mechanics group at TU Wien, collaborating with institutions including the University of Manchester. Current projects involve numerical simulations of boundary layer transitions and industrial fluid applications.

• Mechanics
• Multibody Dynamics
• Finite Element Methods
• +4 more

Wolfgang Steiner is a Senior Lecturer at the University of Applied Sciences Upper Austria (FH Wels), affiliated with the Center of Excellence Automotive/Mobility. His research focuses on multibody dynamics, finite element methods, optimization, and stability theory in mechanical systems. Primary Affiliation: University of Applied Sciences Upper Austria (FH Wels), Center of Excellence Automotive/Mobility External Position: Lecturer at TU Vienna (since 1997) His work spans theoretical mechanics and applied engineering, particularly in satellite dynamics and industrial robotics. Recent projects include KBMKSZ (2024-2026) and IOMMS (2023-2026), emphasizing advanced computational techniques for multibody systems. Research trends highlight the integration of adjoint methods for gradient optimization, application of multibody dynamics to biomedical problems (e.g., tumor drug dosage), and development of novel simulation frameworks for industrial gear transmissions. His publications demonstrate cross-disciplinary relevance in mechanics, aerospace, and computational modeling. Scientific Recognition : 2020: Best Paper Award He actively supervises research projects and participates in academic activities such as international conferences and committee memberships.

• Advanced Materials Science
• Information and Communication Technology
• Computational Biomechanics
• +7 more

Gian Marco Melito is an Assistant Professor at the Institute of Mechanics within the Faculty of Mechanical Engineering at Graz University of Technology (TU Graz). His research spans Advanced Materials Science and Information, Communication & Computing fields, with a strong focus on biomedical applications, particularly cardiovascular modeling and medical imaging. With over 21 publications and active participation in numerous research projects and conferences, Dr. Melito has established himself as a significant contributor to computational biomechanics and medical engineering. Research Interests Dr. Melito's primary research focuses on computational modeling of cardiovascular systems, with particular expertise in aortic dissection, blood flow dynamics, and electrical conductivity of blood. His work integrates sensitivity analysis, numerical modeling, and medical imaging to develop innovative approaches for understanding and diagnosing cardiovascular conditions. His research portfolio demonstrates a consistent trajectory from fundamental hemodynamics toward clinically applicable tools. His technical expertise spans computational mechanics, biomedical engineering, and data science, with recent work emphasizing 3D medical shape analysis, aortic modeling, and impedance-based diagnostic techniques for aortic pathologies. The fingerprint analysis of his work reveals strong connections to Simulation Modeling (100%), Electrical Conductivity (85%), Model Parameter analysis (85%), and Electrical Impedance engineering (64%). Publication Trends Dr. Melito's publication record shows a clear progression from fundamental cardiovascular modeling toward practical medical applications. His most recent work focuses on dataset development for medical imaging (MedShapeNet, SynthAorta), demonstrating his shift toward creating foundational resources for the medical AI community. The consistent theme across his publications is the application of sensitivity analysis to improve cardiovascular modeling accuracy and clinical relevance. Professional Activities Dr. Melito is actively engaged in the academic community with 14 recorded activities including conference organization (such as UNCECOMP 2025 and ECCOMAS 2024), presentations, and editorial work. His upcoming role as organizer for UNCECOMP 2025 in June 2025 demonstrates his ongoing active status in the field.

• Biomedical Engineering
• Medical Physics
• Computational Modeling
• +3 more

Vahid Badeli is a researcher at the Institute of Fundamentals and Theory in Electrical Engineering, Graz University of Technology. He specializes in biomedical engineering applications of electrical impedance and computational modeling, with a focus on cardiovascular diagnostics and aortic dissection detection. His work bridges electrical engineering, fluid dynamics, and clinical medicine. Key affiliations: Graz University of Technology, University of Oslo (visiting researcher) Research themes: Bioimpedance signal analysis, digital twin development for arterial assessment, medical device prototyping His publication trends (2014-2025) emphasize numerical simulation , Bayesian inference , and finite element modeling of bioimpedance phenomena. Recent projects include MedShapeNet (3D medical shape dataset) and BioImpedanceDigiTwin (digital twins for arterial assessment). Badeli actively collaborates across Europe, with presentations at IEEE and COMPEL journal. He has contributed to openCFS simulations and developed wearable biosensors like flexible electrode straps for arterial monitoring. His methodological innovations include nonconforming finite element formulations and multi-sensor Bayesian classification systems.

Philip Lukas LedererView profile

Researcher

• Computational Fluid Dynamics
• Numerical Analysis
• Finite Element Methods
• +4 more

Philip Lukas Lederer is a researcher at TU Wien's Forschungsgruppe Computational Mathematics in Engineering, affiliated with the Faculty of Mathematics and Geoinformation. His work focuses on computational fluid dynamics, numerical analysis, and finite element methods with an emphasis on incompressible flows, non-Newtonian fluids, and pressure-robust discretizations. He has contributed to advancements in hybridized discontinuous Galerkin methods, divergence-free reconstruction techniques, and robust error estimation. His research addresses challenges in Stokes equations, Biot's consolidation model, and large eddy simulation. Notable collaborations include projects with Joachim Schöberl, Christoph Lehrenfeld, and others in computational mathematics. Lederer's publications emphasize high-order methods, mass conservation, and stress formulations. His work on embedded boundary approaches and surface flow simulations demonstrates innovation in geometric numerical integration. He has advised at least one master's student, Jan Ellmenreich, on non-Newtonian fluid simulations.

Peter GanglView profile

Research Professor

• Topology Optimization
• Shape Optimization
• Computational Mathematics
• +3 more

Dr. Peter Gangl is a Senior Research Scientist at the Johann Radon Institute for Computational and Applied Mathematics (RICAM), Austrian Academy of Sciences, where he leads research in optimization and computational mathematics. He holds a Ph.D. (2017) and M.Sc. (2012) from Johannes Kepler University Linz. His research focuses on topology/shape optimization, topological derivatives, and multiphysics simulation of electric machines. Research Interests: Gangl specializes in developing mathematical methods for PDE-constrained optimization, with emphasis on computational electromagnetics, automated sensitivity analysis, and multi-objective design. His work bridges applied mathematics and industrial applications, particularly in electric motor optimization. Research Projects: Principal Investigator for SFB F90 'CREATOR' (2022–2026) on topology optimization under electro-thermal coupling Led FWF project 'Multiphysical Shape Optimization of Electrical Machines' (2020–2024) Awards & Honors: Richard C. DiPrima Prize (SIAM, 2018) Erwin Wenzl Preis (2018) Anile Prize (ECMI, 2018) Promotio sub auspiciis (Austria's highest academic honor, 2017) Students & Collaboration: Supervises PhD candidates (Nepomuk Krenn, Michael Winkler) and collaborates with institutions including TU Graz, TU Darmstadt, and international partners. Organizes workshops/seminars on optimization and computational mathematics.