Find Academic Supervisors

• Wind Engineering
• Structural Optimization
• Bridge Aerodynamics
• +4 more

Guillermo Martínez-López is a Researcher at the Chair of Statics and Dynamics, Technical University of Munich (TUM), since 2024, previously working at the Chair of Statics (2020-2024). His research focuses on computational structural mechanics with applications in wind engineering and civil infrastructure design. He holds a Master of Science (2017-2019) and Bachelor of Science (2013-2017) in Civil Engineering from Universitat Politècnica de València, with study periods at RWTH Aachen (2016-2017) and KTH Royal Institute of Technology (2018-2019). His research spans Wind Engineering , Structural Optimization , and Computational Mechanics , addressing critical challenges in long-span bridge aerodynamics and membrane structure design. Key contributions include flutter mitigation strategies for cable-supported bridges and standardized pressure mapping for membrane roof canopies, emphasizing computational efficiency through forced-motion simulation optimization. Analysis of his 2019-2024 publications reveals a concentrated focus on wind-structure interaction problems, with increasing emphasis on standardization methodologies for membrane structures and computational cost reduction in aerodynamic simulations. His work bridges theoretical computational mechanics with practical civil engineering applications. His scientific recognition includes: La Caixa Foundation Research Fellowship (2020-2022) DAAD Research Fellowship (2020) He actively contributes to third-party funded projects including CoDA, MistralWind, WINSENT, and FlexWing, focusing on wind engineering applications and structural optimization. As an instructor in Wind Engineering courses at TUM, he integrates research into teaching while collaborating within Prof. Wüchner's research group on advanced computational methods. His work is embedded within TUM's computational mechanics ecosystem, contributing to software development (Kratos Multiphysics) and participating in interdisciplinary teams addressing wind effects on civil structures through projects like Digitaler Baukasten.

Christoph ThonView profile

Researcher

• Artificial Intelligence in Process Engineering
• Comminution Processes
• Wet Milling
• +3 more

Christoph Thon (M.Sc.) is a researcher at the Institute for Particle Technology within the Faculty of Mechanical Engineering at Technische Universität Braunschweig . Since 2017, he has contributed to modeling comminution processes using artificial intelligence and serves as team leader for "Digital methods in solids process engineering" in the SPP 2364 research project on autonomous processes in particle technology. Education : M.Sc. in Bio- and Chemical Engineering (2015-2017), TU Braunschweig B.Sc. in Bio- and Environmental Engineering (2011-2014), Ostfalia Fachhochschule Wolfenbüttel His research focuses on artificial intelligence applications in process engineering , particularly for wet milling and comminution processes . He employs numerical simulations, machine learning, and data-driven approaches to develop hybrid frameworks for industrial particle technology. Recent publications highlight his work on 3D shape prediction from 2D images and physics-informed modeling for battery electrode processing. Scientific Contributions : Co-authored 7 peer-reviewed publications (2021-2024) in journals like Chemical Engineering Journal and Advanced Intelligent Systems Developed multi-modal frameworks combining AI with CFD and DEM simulations Contributed to sustainable process engineering through digital modeling

Dominik SchillingerView profile

Professor

• Numerical Mechanics
• Isogeometric Analysis
• Finite Element Methods
• +7 more

Prof. Dominik Schillinger (Technische Universität Darmstadt) is a leading expert in numerical mechanics, with 15+ years of academic leadership in computational methods, multiscale modeling, and biomedical applications. His career spans prestigious institutions including Leibniz Universität Hannover and University of Minnesota. W3-Professur für Numerische Mechanik (2021–present) W2-Professur für Numerische Mechanik (2019–2021) Assistant/Associate Professor (2013–2019) Postdoc & PhD (2008–2012) His research focuses on isogeometric analysis , discontinuous Galerkin methods , and multiscale biomedical modeling , with applications in vascular networks, bone mechanics, and additive manufacturing. He pioneered phase-field methods for fracture analysis and physics-informed neural networks for material modeling. Recent publications highlight matrix-free algorithms for compressible flows, physics-augmented lattice optimization , and thermodynamically consistent phase-field models . Awards include the PECASE , ERC Starting Grant , and NSF CAREER award. Presidential Early Career Award (2019) ERC Starting Grant (2017) NSF CAREER Award (2017) ICE Zienkiewicz Medal (2015) He teaches core courses in numerical methods , finite element analysis , and computational mechanics at TU Darmstadt and Leibniz Universität Hannover, with international collaborations in Bethlehem and Austin.

• Computational Mechanics
• Continuum Mechanics
• Material Modeling
• +3 more

Prof. Dr. Philipp Junker serves as the Executive Director of the Institute of Continuum Mechanics at Leibniz University Hannover within the Faculty of Mechanical Engineering. He also participates in several collaborative research initiatives including Task Group S1: Macro Optical Systems, International RTG 2657: Computational Mechanics Techniques in High Dimensions, and PhoenixD: Photonics, Optics, and Engineering - Innovation Across Disciplines. His work bridges continuum mechanics with computational methods and optical engineering applications. Professor Junker's primary research interests lie in computational mechanics, continuum mechanics, and their applications to material modeling and structural analysis. His work focuses on developing advanced numerical methods including virtual element methods, phase field fracture modeling, and variational formulations for material behavior. He explores applications in diverse areas such as biomedical engineering (dental implants, stents), thermal barrier coatings, and optical systems engineering. His recent publications demonstrate a strong focus on computational efficiency and accuracy in mechanical simulations, with particular emphasis on damage modeling, fatigue analysis, and multi-physics coupling. His research group develops novel numerical frameworks that integrate thermodynamics principles with computational methods to address complex engineering challenges. Professor Junker is actively involved in the academic governance of Leibniz University Hannover as a member of the Senate and as a representative for professors. His leadership role as Executive Director positions him to shape research directions and academic programs within mechanical engineering.

Riccardo SprocatiView profile

Researcher

• Environmental Engineering
• Computational Modeling
• Machine Learning
• +5 more

Riccardo Sprocati is a PostDoc researcher at the Technical University of Denmark (DTU), specializing in electrokinetic remediation technologies and multiphysics reactive transport modeling. His work addresses environmental challenges through advanced computational frameworks and sustainable resource recovery applications. Research Interests: Electrokinetic remediation of contaminated sites In situ mining of critical metals Multiphysics reactive transport modeling Surrogate and machine learning models Life cycle assessment (LCA) Publication Trends: His recent work focuses on electrokinetic transport dynamics in porous media, integrating machine learning with process-based models for bioremediation, and sustainable mining via electrokinetic recovery of metals from mine tailings. Key themes include electromigration/electroosmosis interplay, temperature-dependent transport, and geochemical coupling in heterogeneous systems.

• Theoretical Physics
• Computational Physics
• Materials Science
• +4 more

PD Dr. Dmitry Chigrin is a Research Professor at RWTH Aachen University's Department of Physics and an independent research group leader at the DWI–Leibniz Institute for Interactive Materials. He holds a Heisenberg Fellowship (DFG) and specializes in theoretical and computational physics of complex artificial systems, including phase-change materials, metamaterials, plasmonics, and hydrogel-based systems. His work spans applications in biomedical imaging, nano-optics, and material engineering. Education: Diploma in Theoretical Physics (Belarusian State University, 1997) Ph.D. in Electrical Engineering (University of Wuppertal, 2004) Habilitation in Theoretical Physics (Friedrich Schiller University Jena, 2014) Research Interests: Phase transitions in Ge-Sb-Te materials Reconfigurable metamaterials and metasurfaces Photoacoustic imaging with gold nanoparticles Hydrogel-based micro-robotics and biomedical applications Plasmon-polaritonic nanostructures His research integrates multi-physics simulations, theoretical modeling, and experimental collaboration to advance materials science and nanotechnology. Key projects include tuning metasurfaces via phase-change materials and optimizing nanostructures for biomedical imaging. Awards: Heisenberg Fellowship (DFG, 2017) Labs/Teams: Theory of Complex Materials Group (DWI-Leibniz Institute)

Sebastian WolfView profile

Researcher

• Earthquake Simulation
• Wave Propagation
• Discontinuous Galerkin Methods
• +3 more

Dr. Sebastian Wolf is a researcher at the Technische Universität München (TUM), associated with the TUM School of Computation, Information and Technology and the Chair of Scientific Computing in Computer Science (SCCS). His primary research focuses on earthquake simulation software (SeisSol), wave propagation phenomena, and discontinuous Galerkin methods. He specializes in computational seismology, particularly in simulating seismic waves in complex poroelastic media and dynamic rupture processes. His work integrates high-performance computing (HPC) techniques for extreme-scale simulations. Current Affiliations: SCCS, TUM; Leibniz Supercomputing Centre (office location) Key Research Areas: Seismic wave modeling, numerical methods (ADER-DG), poroelastic media, and uncertainty quantification Teaching responsibilities include numerical programming and wave simulation courses. He has supervised multiple student theses on topics like seismic simulation optimization and uncertainty quantification. His research contributes to understanding induced earthquakes and improving computational efficiency in geophysical simulations.

Satyvir SinghView profile

Research Fellow

• High-Order Discontinuous Galerkin Method
• Computational Fluid Dynamics
• Hydrodynamic Instability
• +2 more

Dr. Satyvir Singh is a Research Fellow at RWTH Aachen University (since 2022). He holds a Ph.D. in Mechanical and Aerospace Engineering from Gyeongsang National University, South Korea, and prior academic roles include Postdoctoral Fellowships at Nanyang Technological University (Singapore) and teaching positions in India. His research focuses on high-order numerical methods for fluid dynamics, particularly discontinuous Galerkin methods applied to hydrodynamic instabilities, computational fluid dynamics, and gas kinetic theory. Education: Ph.D., Mechanical and Aerospace Engineering, Gyeongsang National University, South Korea (2013-2016) M.Tech., Industrial Mathematics and Scientific Computing, IIT Madras, India (2009-2011) M.Sc., Mathematics, Chaudhary Charan Singh University, India Research Interests: High-Order Discontinuous Galerkin Method Computational Fluid Dynamics Hydrodynamic Instability (Richtmyer-Meshkov, Rayleigh-Taylor) Multispecies Flows and Gas Kinetic Theory Scientific Contributions include over 30 peer-reviewed articles in journals like Journal of Computational Physics , Physics of Fluids , and SCIENCE CHINA Physics , focusing on shock-driven instabilities, numerical methods for rarefied gases, and reaction-diffusion systems. Awards and Fellowships: Brain Korea 21+ Scholarship, South Korea (Ph.D.) GATE HMRD Scholarship, India (M.Tech.) Qualified JRF/NET (Mathematical Sciences), AIR 38 (2011) Labs and Affiliations: Part of the The Lab at RWTH Aachen University, contributing to interdisciplinary fluid dynamics research.

Uwe MorgnerView profile

Professor

• Ultrafast Lasers
• Quantum Optics
• Photonics
• +4 more

Prof. Dr. Uwe Morgner is a Professor of Experimental Physics at the Institute of Quantum Optics, Leibniz University Hannover, within the Faculty of Mathematics and Physics. He holds significant leadership roles including Spokesperson of the PhoenixD Cluster of Excellence, Chairperson of the Leibniz School of Optics and Photonics, and Executive Board member of the Institute of Quantum Optics and Hannover Centre for Optical Technologies (HOT). His research focuses on ultrafast laser systems, nonlinear optics, and quantum optics with applications in photonics and materials processing. Roles and Affiliations: Spokesperson, PhoenixD: Photonics, Optics, and Engineering Chairperson, Leibniz School of Optics and Photonics Executive Board Member, Institute of Quantum Optics and HOT Principal Investigator, Ultrafast Laser Laboratory Education: Prof. Dr. since 2004 at Leibniz University Hannover Habilitation in Physics (2003, Heidelberg) and Photonics (2001, Karlsruhe) Doctorate in Physics (1997, University of Münster) Diploma in Physics (1994, University of Hannover) Research Interests: His work spans ultrafast laser technology, nonlinear optical phenomena, high-harmonic generation, and advanced applications in quantum optics. Key areas include femtosecond laser fabrication of optical components, terahertz photonics, and quantum control of light-matter interactions. Research emphasizes practical engineering solutions (e.g., frequency tripling mirrors) alongside fundamental physics (e.g., attosecond quantum dynamics). Publications: Recent work highlights advancements in nano-optics (e.g., photocurrent harmonics in nanostructures) and ultra-broadband laser systems (e.g., visible NOPOs for tunable UV pulses). His studies on high-harmonic generation provide insights into quantum optical properties and entanglement dynamics. Labs and Teams: Ultrafast Laser Laboratory (his primary research group) Task Group leadership in PhoenixD and HOT initiatives

• Geophysics
• Computational Science
• High-Performance Computing
• +3 more

Dr. Nils Kohl is a researcher in the Computational Science Department of Earth and Environmental Sciences at Ludwig-Maximilians-Universität (LMU) München. His work focuses on developing scalable numerical methods and high-performance computing frameworks for geophysical simulations, particularly in mantle convection and geodynamic modeling. He leads or contributes to projects like HyTeG, TerraNeo, and waLBerla, which aim to advance exascale computing and parallel algorithms for complex geophysical systems. His research emphasizes matrix-free finite element methods, multigrid solvers, and hybrid grid optimizations to address challenges in large-scale simulations. Kohl’s contributions include improving code generation for parallel computing, ensuring resiliency in extreme-scale simulations, and enhancing algorithmic efficiency for geodynamic applications. He maintains an active Google Scholar profile documenting his extensive publications on computational geophysics and high-performance frameworks. While no awards or student advisement details are explicitly stated, his involvement in TerraNeo and HyTeG underscores his role in advancing computational infrastructure for geoscience research. His work integrates interdisciplinary approaches to tackle grand challenges in earth system modeling.

Oleg IlievView profile

Professor

• Computational Fluid Dynamics (CFD)
• Numerical Simulation
• Porous Media
• +5 more

Prof. Dr. Oleg Iliev is a leading researcher at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His work focuses on computational fluid dynamics, numerical simulation of multiphase flows, and porous media processes. He specializes in developing advanced algorithms for CFD, reactive transport modeling, and multiscale methods. His research integrates computational methods with engineering applications such as filter design, battery technology, and environmental systems. Key research interests include: Porous media flow simulation CFD-DEM coupled systems Reactive transport in heterogeneous media High-performance computing and parallel algorithms His publications (2016–2022) highlight contributions to: Pore-scale modeling of filtration and catalytic processes Machine learning integration with numerical PDE solvers Uncertainty quantification in subsurface flows GPU-accelerated stochastic simulations Prof. Iliev collaborates with industry and academia on projects involving Li-ion batteries, filter efficiency optimization, and exascale computing frameworks like EXA-DUNE.

Axel KlarView profile

Professor

• Kinetic Theory
• Traffic Flow Modeling
• Pedestrian Dynamics
• +6 more

Prof. Axel Klar is a Professor in the Department of Technomathematics at the Rheinland-Palatinate University of Applied Sciences (RPTU) Kaiserslautern-Landau. His research focuses on mathematical modeling of complex systems, with a strong emphasis on kinetic theory, fluid dynamics, and applied analysis. Key areas of expertise include traffic flow dynamics, fiber dynamics in industrial processes, pedestrian movement patterns, and biological systems such as cell motion and tumor growth. He develops and analyzes numerical methods for partial differential equations and stochastic systems, often addressing challenges in technical textile production, non-equilibrium thermodynamics, and multi-physics simulations. His work bridges microscopic particle-based models with macroscopic continuum descriptions, emphasizing asymptotic methods and domain decomposition techniques. Notable contributions include stochastic fiber lay-down models for nonwoven manufacturing, mesh-free particle methods for granular and rarefied gas flows, and kinetic-based traffic models with applications to autonomous vehicles and crowd control. Current research explores data-driven approaches for coupled systems in socio-economic and biomedical contexts. Prof. Klar’s interdisciplinary projects involve collaborations with industry partners (e.g., in textile engineering) and academic institutions globally. His team develops open-source numerical toolkits for applications ranging from radiation therapy optimization to climate-resilient infrastructure design. Recent efforts focus on AI-driven parameter estimation for high-dimensional PDE systems and uncertainty quantification in multi-scale modeling.

• Robot Vision
• Machine Learning
• AI Methodology
• +5 more

Prof. Sebastian Houben holds the Chair of Robot Vision and Machine Learning at the Department of Computer Science, Bonn-Rhein-Sieg University of Applied Sciences. He concurrently serves as International Affairs Representative and Head of the Master's Examination Board for Autonomous Systems. His academic affiliations include the Institute for AI and Autonomous Systems (A2S) and the Institute of Technology, Resource Conservation and Energy Efficiency (TREE). Research focuses on AI-driven solutions in autonomous systems, digital twins, and data literacy. Notable projects include: INNERVATE: AI-based driver maneuver evaluation for automotive safety DKZ.2R: Cross-disciplinary data literacy center for researchers DigitalTwin-4-Multiphysics-Lab: Urban-industrial digital twin applications GARRULUS: AI-powered forest reforestation via drone seeding He leads multiple collaborative initiatives including the KIMODE project optimizing AI design-of-experiments and the Rhine-Ruhr data competency center. Prof. Houben is an active member of the North Rhine-Westphalia Doctoral College.

Antonia LareseView profile

Associate Professor

• Computational Mechanics
• Computational Fluid Dynamics (CFD)
• Fluid Structure Interaction (FSI)
• +3 more

Antonia Larese is an Associate Professor in Hydraulic and Maritime Constructions and Hydrology at the University of Padova, Italy, and a Hans Fischer Fellow at the Technical University of Munich (TUM-IAS). She holds a PhD in Structural Analysis from the Technical University of Catalonia (UPC) and has extensive postdoctoral experience, including fellowships at the Spanish Ministry and the Catalonian Government. Her research focuses on Computational Mechanics, Fluid-Structure Interaction, and advanced numerical methods like the Material Point Method (MPM) and Finite Element Method (FEM). She is a core developer of the open-source KRATOS Multiphysics platform. Affiliations: University of Padova (Department of Mathematics), TUM-IAS, and the International Center for Numerical Methods in Engineering (CIMNE). Education: M.Sc. in Civil Engineering (University of Padova, 2006), M.Sc. in Numerical Methods (UPC, 2011), PhD in Structural Analysis (UPC, 2012). Research Interests: Computational Fluid Dynamics (CFD), fluid-structure interaction, unfitted numerical techniques, free surface flows, and non-Newtonian materials. Her work emphasizes innovative methods for simulating complex engineering systems, including porous media and protective structures against natural hazards. Her recent publications (2021–2024) address topics like sediment transport optimization, wind engineering applications, and coupled material point-discrete element methods. These studies highlight advancements in numerical modeling for environmental and geotechnical challenges. Awards: - Rita Levi Montalcini Fellowship (2018–2021) - Juan de la Cierva Fellowship (2017–2018) - Special Doctoral Award (UPC, 2014) - Best PhD Thesis finalist (SEMNI, 2012) Advising & Grants: She leads projects like the Digital Twins of Civil Structures (REACT) and collaborates on initiatives such as the Material Point Method (MPM) development. Her work bridges academic research with industrial applications in civil and environmental engineering. Labs/Teams: Active contributor to CIMNE’s research groups and the KRATOS Multiphysics open-source community, advancing computational tools for multiphysics problems.

Carina SchwarzView profile

Researcher

• Computational Mechanics
• Finite Element Methods
• Least-Squares Finite Element Method
• +7 more

Carina Schwarz is a researcher at the Institute of Mechanics, Faculty of Engineering, University of Duisburg-Essen, where she has been a research assistant since 2012 and completed her doctorate in 2018. Her work focuses on the development and application of least-squares finite element methods (LSFEM) to problems in fluid and solid mechanics, including sea ice modeling, fluid-structure interaction, and incompressible fluid dynamics. She teaches multiple courses in engineering mechanics and finite element methods at both bachelor’s and master’s levels. PhD in Engineering, University of Duisburg-Essen, 2018 B.Sc. in Civil Engineering, University of Duisburg-Essen, 2010 M.Sc. in Computational Mechanics, University of Duisburg-Essen, 2012 Research stay at École des Mines, Paris, 2012 Her research interests center on computational mechanics , particularly least-squares finite element methods , sea ice modeling , and incompressible fluid dynamics . She investigates higher-order time integration schemes and mixed finite element formulations for linear elastodynamics and fluid-structure interaction problems. Her work bridges theoretical mechanics with practical numerical simulation tools. The trend in her recent publications shows a growing emphasis on environmental applications, especially sea ice dynamics in polar regions, using advanced computational fluid dynamics and numerical methods. Her earlier work focused more on fundamental formulations of LSFEM for Navier-Stokes equations and elastodynamics, evolving toward coupled environmental systems. She has supervised multiple student theses in computational mechanics, mentoring students in finite element implementation and numerical modeling. Although no specific grants or awards are mentioned, her consistent publication output in reputable journals and conferences reflects sustained research activity. Carina Schwarz leads and contributes to collaborative research projects involving interdisciplinary modeling of complex mechanical and environmental systems. Her work is integrated within the Institute of Mechanics, where she participates in academic teaching and research seminars such as the Seminar for Numerical Mathematics and Mechanics (SNMM).