جست‌وجوی استاد و پژوهشگر

• Scientific Machine Learning
• Numerical Linear Algebra
• Numerical Multilinear Algebra
• +۷ مورد دیگر

Peter Benner is a Professor and Director at the Max Planck Institute for Dynamics of Complex Technical Systems in Magdeburg, where he leads the Computational Methods in Systems and Control Theory group. He also holds an Honorarprofessor position for Mathematics at Otto-von-Guericke Universität Magdeburg since 2011. Benner has previously served as Managing Director of the Max Planck Institute during multiple periods (2013-2014, 2021-2022, and 2025-2026), demonstrating his leadership in the field. Benner's research focuses on Scientific Machine Learning, Numerical Linear and Multilinear Algebra, Model Order Reduction and Reduced-order Modeling, Numerical Methods in Systems and Control Theory, PDE Constrained Optimization, High-performance and Power-aware Computing, and Mathematical Software development. His work bridges theoretical mathematics with practical engineering applications, particularly addressing challenges in large-scale dynamical systems. Analysis of his recent publications reveals a strong emphasis on developing efficient computational methods for complex systems. Benner has pioneered approaches combining model order reduction with tensor methods to tackle high-dimensional problems in uncertainty quantification and PDE-constrained optimization. His work shows a consistent trend toward integrating data-driven techniques with traditional model-based approaches, particularly for nonlinear and parametric systems. Throughout his career, Benner has actively mentored students and collaborated with researchers worldwide, delivering numerous invited talks at prestigious institutions and conferences across Europe, North America, and Asia. His research has received significant funding, supporting the development of mathematical software and computational methods for industrial applications. Benner leads the Computational Methods in Systems and Control Theory department at the Max Planck Institute, which focuses on developing and implementing advanced numerical methods for large-scale dynamical systems. The group maintains strong connections with both theoretical mathematics and practical engineering applications, particularly in fluid dynamics, energy systems, and control theory.

Patrick Huberمشاهده پروفایل

استاد

• Condensed Matter Physics
• Materials Science
• Nanoporous Materials
• +۶ مورد دیگر

Prof. Dr. Patrick Huber is a leading physicist and Institute Director at the Hamburg University of Technology (TUHH) , heading the Institute for Materials and X-Ray Physics (M-2) . He also leads the High-Resolution X-Ray Analytics of Materials group at DESY through a cooperative professorship. His research spans condensed matter physics , nanoporous materials , and X-ray analytics , with significant contributions to molecular water science and soft matter in confinement . Education: PhD in Physics (1999, Saarland University), Diploma in Physics (1995, Saarland University) Professional Career: Full Professor at TUHH (2020-present), Member of CRC 1615 (2023-present), Spokesperson for CMWS (2024-present), Cluster of Excellence BlueMat (2025) Research Interests focus on multi-scale material behavior under extreme confinement, particularly hierarchical porous silicon and silica systems . His work examines adsorption-induced deformation , elastocapillarity , fluid transport in nanopores, and metamaterial design principles using electrolytes , polymers , and liquid crystals . Fundamental studies include fluid interface thermodynamics and microscopic hydrodynamics . Scientific Awards include the Top Reviewer Award (2018) from Applied Physics Letters and the Dr.-Eduard-Martin Award (2000) for his dissertation. He contributes to 130+ publications with an h-index of 36 (2021). Advising and Grants involve supervising 18 doctoral and master's students , including Manuel Brinker , Marc Thelen , and Stella Gries . He participates in Collaborative Research Centre CRC 1615 , Cluster of Excellence EXC 3120 BlueMat , and the United Nations University Hub on Climate Engineering . Laboratory and Teams include the Institute for Materials and X-Ray Physics (M-2) at TUHH, the High-Resolution X-Ray Analytics group at DESY, and contributions to the Centre for Hybrid Nanostructures (CHyN) .

Martin Burgerمشاهده پروفایل

استاد

• Inverse Problems
• Applied Mathematics
• Mathematical Modelling
• +۱۵ مورد دیگر

Prof. Dr. Martin Burger is a leading scientist at DESY and a Full Professor in the Department of Mathematics at Universität Hamburg, where he leads the Computational Imaging Group. His research bridges applied mathematics, imaging sciences, and machine learning, with a focus on inverse problems, mathematical modeling, and partial differential equations. He has held professorial positions at Universität Münster and FAU Erlangen-Nürnberg prior to his current dual appointment. Full Professor, Universität Hamburg (2023–present) Leading Scientist, DESY, Hamburg (2023–present) Full Professor, FAU Erlangen-Nürnberg (2018–2023) Full Professor, Universität Münster (2006–2018) His research interests include inverse problems, variational regularization, optimal transport, kinetic models, and mathematical modeling in biology and social sciences. He has made significant contributions to imaging reconstruction, sparse neural networks, and the analysis of transformer architectures. His work often integrates theoretical analysis with computational methods, influencing both pure and applied mathematics. The most recent articles reflect a strong trend toward interdisciplinary applications, combining deep learning with PDE-based modeling, analyzing social and biological systems via kinetic and mean-field models, and advancing mathematical imaging through graph-based and optimal transport methods. His publications span high-impact venues in applied mathematics and computational science. Calderon Prize, Inverse Problems International Association (IPIA) ERC Consolidator Grant (2014) Invited speaker at ECM (2021), ICM (2022), and ICIAM (2023) Editor-in-Chief, European Journal of Applied Mathematics (since 2017) Prof. Burger has supervised numerous PhD students and postdoctoral researchers, many of whom appear as co-authors in his publications. His research is supported by major grants, including funding from the German Federal Ministry of Education and Research (BMBF). He is actively involved in collaborative projects across mathematics, physics, and engineering disciplines. He leads the Computational Imaging Group at DESY, fostering a collaborative environment for developing novel mathematical tools in imaging science. The group works on both theoretical foundations and practical implementations, contributing to advancements in tomography, machine learning, and data analysis.

Stephan Staudacherمشاهده پروفایل

استاد

• Aircraft Propulsion
• Gas Turbine Engineering
• Thermodynamics
• +۳ مورد دیگر

Prof. Dr.-Ing. Stephan Staudacher is the Director of the Institute of Aircraft Propulsion at the University of Stuttgart. His work focuses on aircraft propulsion systems, gas turbine performance, and turbomachinery design. He holds a professorship in the Faculty of Mechanical Engineering and Aerospace, leading research in advanced engine technologies, erosion effects, and fault detection algorithms. Research interests include engine reliability, computational fluid dynamics (CFD), and experimental validation of propulsion systems. His publications emphasize topics like neural network applications for fault detection, ice crystal icing simulations, and particle transport in additive manufacturing processes. Recent studies highlight the optimization of composite-cycle engines and assessment of mission severity caused by erosion. Key contributions include advancements in engine condition monitoring, transient performance analysis, and the development of Stuttgart University’s Altitude Test Facility (ATF). His work bridges theoretical models with industrial applications, addressing challenges in both civil and military aviation propulsion systems.

• Catalytic Reaction Engineering
• CO2 Hydrogenation
• Methanation Processes
• +۵ مورد دیگر

Prof. Robert Güttel is the Director of the Institute for Chemical Engineering at the University of Ulm. He is a member of the Ulm Center for Thermal and Environmental Technology (UZWR) since 2016 and serves on its executive board. His work focuses on catalytic reaction engineering, particularly in CO2 utilization, methanation, Fischer-Tropsch synthesis, and process intensification. Research emphasizes catalyst design, reaction kinetics, and reactor modeling under dynamic conditions. Educations : Not explicitly stated in the provided text. His academic career is highlighted through his leadership roles and publications. Research Interests : Güttel’s research spans heterogeneous catalysis for CO/CO2 hydrogenation, transient kinetic analysis, polymeric reactors for extraterrestrial applications, and AI-driven reactor design. His team develops advanced catalysts (e.g., Ru/TiO2, cobalt@silica core-shell structures) and investigates novel reactor concepts like fibrous structured catalysts and sorption-enhanced processes. Recent work explores in-situ methanation on Mars and the impact of light on catalytic selectivity. Publications Trends : His 2024–2025 articles focus on low-temperature methanation beyond Earth, AI-based residence time analysis, and deactivation mechanisms. Studies highlight both experimental and computational approaches to optimize catalytic systems for sustainability and industrial relevance. Awards : No specific scientific awards mentioned in the text. Grants/Labs : Leads the Institute for Chemical Engineering at Ulm, collaborating on EU-funded projects related to power-to-X technologies and extraterrestrial chemistry. Active in developing lab-scale reactor systems and industrial partnerships for catalyst testing. Labs/Teams : Directs research groups focused on catalytic reactor design, transient kinetic methods, and sustainable process engineering. Collaborates with institutions on Mars habitat resource utilization and green hydrogen production systems.

Annabelle Bohrdtمشاهده پروفایل

استاد

• Theoretical Physics
• Quantum Many-Body Systems
• Quantum Simulation
• +۳ مورد دیگر

Annabelle Bohrdt is a Professor at the University of Regensburg's Faculty of Physics, affiliated with the Institute of Theoretical Physics. Her research focuses on strongly interacting quantum many-body systems, combining numerical methods, quantum simulation experiments, and machine learning techniques like neural networks. She explores topics such as the Fermi-Hubbard model, t-J model, and stripe formation in doped antiferromagnets. Her work bridges theoretical models and experiments, leveraging quantum gas microscopy and interpretable machine learning tools. Notable contributions include studies on pairing mechanisms in bilayer antiferromagnetic Mott insulators and the role of fluctuations in quantum many-body systems. Bohrdt actively collaborates with experimental groups to validate theoretical predictions. Teaching includes specialized courses on numerical methods for quantum many-body systems and machine learning applications in physics. She advises graduate and undergraduate students on projects in quantum matter and computational physics.

• Soil Biogeochemistry
• Carbon Cycling
• Mineral-Soil Interactions
• +۳ مورد دیگر

Dr. Marion Schrumpf is a Group Leader in the Soil Biogeochemistry research group at the Max Planck Institute for Biogeochemistry, affiliated with the Department of Biogeochemical Processes. Her work focuses on soil carbon dynamics, mineral-organic matter interactions, and climate change impacts on soil systems. Research areas: Soil biogeochemistry, carbon cycling, mineral-soil interactions, nutrient stoichiometry, microbial ecology, and climate modeling. Email: mschrumpf@... Phone: +49 3641 57-6182 Office: B2.015 Her recent publications address themes like mineral control over soil carbon stabilization, drought effects on soil processes, microbial stoichiometric adaptation, and the Jena Soil Model's role in simulating carbon-nutrient interactions. She leads efforts to disentangle the complex relationships between land use, mineralogy, and soil organic matter turnover across diverse ecosystems.

• Optimal Control of Partial Differential Equations
• Variational Inequalities
• Nonsmooth Infinite-dimensional Optimization
• +۵ مورد دیگر

Dr. Constantin Christof is a Lecturer (Akademischer Rat auf Zeit) at the Department of Mathematics , Technische Universität München , with prior roles as a W2 Stand-in Professor at Universität Augsburg and Research Associate at TUM and TU Dortmund. His research focuses on Optimal Control of PDEs , Variational Inequalities , and Nonsmooth Optimization , with applications in Non-Newtonian Fluids and Neural Networks . May 2015 - July 2018: Dr. rer. nat. in Mathematics, TU Dortmund Oct. 2013 - July 2014: MAST (Part III of Mathematical Tripos), University of Cambridge Oct. 2009 - Sept. 2012: B.Sc. in Technomathematics and Mathematics, TU Dortmund Christof's work bridges Finite Element Error Analysis , Sensitivity Analysis , and Physics-Guided Machine Learning , particularly in problems involving Contact Mechanics and Parabolic PDE Constraints . His recent publications address challenges in Semilinear Elliptic PDEs , Obstacle Problems , and Nonsmooth Superposition Operators , with a focus on theoretical and numerical advancements. Scientific awards include the Dissertation Award and Best Graduate Award from TU Dortmund, and the Award for Academic Excellence by the Minister President of North Rhine-Westphalia. He has supervised 11 theses at the Master's and Bachelor's levels, covering topics from Neural Network Surrogate Models to Bingham Fluid Simulations .

Daniel Kühbacherمشاهده پروفایل

مربی

• Environmental Monitoring
• Greenhouse Gas Monitoring
• Urban Emissions
• +۳ مورد دیگر

Daniel Kühbacher is a Tutor and researcher at the Chair of Environmental Sensing and Modeling at Technische Universität München (TUM). He specializes in developing high-resolution urban emission inventories for CO2, CH4, and co-emitted species, and leads the setup of a 100-sensor CO2 network in Munich to assess sector-specific emission factors. His work bridges environmental monitoring, sensor technology, and urban climate science. Teaching roles include tutoring the Environmental Sensing and Modeling lecture and advanced seminar, as well as the joint practical course Gemeinschaftspraktikum MST . Research focuses on integrating traffic simulation data, mobile measurement units, and flux footprint modeling to quantify urban greenhouse gas emissions. Education: M.Sc. in Environmental Engineering Affiliations: Member of the ICOS Cities project and contributor to the ICOS Science Network Publications emphasize urban GHG monitoring innovations, including sensor network optimization, flux measurement validation, and inventory intercomparison studies. His work supports policy-relevant insights into emission hotspots and mitigation strategies. Currently develops the SCOUT project for street-level carbon observatories and explores human respiration emissions using mobile network data.

Sebastian Kaiserمشاهده پروفایل

استاد

• Optical Measurement Techniques
• Reactive Flows
• Combustion
• +۴ مورد دیگر

Prof. Sebastian Kaiser is a full professor at the University of Duisburg-Essen's Institute for Combustion and Gas Dynamics, where he leads research on reactive fluid dynamics since 2011. His academic background includes a Bachelor's from Dartmouth College, Diplomingenieur from RWTH Aachen, and PhD from Yale University, followed by postdoctoral work at Sandia National Laboratories. Research Focus: Kaiser specializes in optical diagnostics for reactive systems with emphases on: High-speed imaging of combustion processes Nanoparticle synthesis via spray-flame techniques Tribology and fluid-structure interactions Engine diagnostics using laser-based methods His work bridges experimental techniques and simulation development for energy and propulsion systems. Publication Trends: Recent articles (2023-2025) demonstrate consistent focus on advanced optical diagnostics applied to combustion systems, nanoparticle synthesis, and engine research. Key methodologies include laser-induced fluorescence, high-speed imaging, and machine learning for fluid dynamics analysis. Awards & Honors: Harding-Bliss Prize for Engineering Excellence (Yale, 2005) SAE Excellence in Oral Presentation Award (2008) NRW Returning Scientists Grant (2010) Professional Affiliations: Member of Society of Automotive Engineers (SAE) and The Combustion Institute, with extensive experimental facilities for reactive flow characterization.

Ingenuin Gasserمشاهده پروفایل

استاد

• Modelling with Partial Differential Equations
• Kinetic and Fluid Dynamic Equations
• Renewable Energy Systems
• +۳ مورد دیگر

Prof. Ingenuin Gasser is a Professor of Modelling and PDEs at the University of Hamburg's Department of Mathematics. He holds roles including UHH Coordinator for the Joint Master's Programme 'MathMods' and former Vice Dean for Internationalization and Young Researcher Support (2012-2022). His research focuses on mathematical modelling with PDEs, renewable energy systems, traffic flow dynamics, and semiconductor equations. He leads interdisciplinary projects on urban systems and energy technologies. Education & Career: Born 1965 in Brixen, Italy Diplom in Technical Physics (1989, TU Wien) Diplom in Technical Mathematics (1992, TU Wien) PhD in Mathematics (1996, TU Berlin) Habilitation in Mathematics (2000, UHH) Junior Professor (2002–2003, UHH) Full Professor (W3) since 2010 at UHH Research Interests: Modelling with PDEs, kinetic/fluid dynamics, renewable energy systems (solar updraft towers, osmosis power), traffic flow models, semiconductor equations, and interdisciplinary urban system modelling. Publications: Over 67 publications, recent works focus on PRO power stations, solar energy systems, and urban modelling. Key themes include energy efficiency optimization, nanofluid applications, and mathematical models for sustainable infrastructure. Grants & Projects: Participated in EU-funded networks (e.g., TMR), DFG projects on quantum transport, and international collaborations in applied mathematics and renewable energy.

Óscar Andrey Herrera Sanchoمشاهده پروفایل

استاد

• Quantum Optics
• Quantum Biology
• Quantum Metrology
• +۷ مورد دیگر

Óscar Andrey Herrera Sancho is a Full Professor at the University of Costa Rica and a researcher at the Atomic, Nuclear and Molecular Sciences Research Center. He holds a PhD in Physics from Leibniz University Hannover and has held roles including Head of the Physical Metrology Department at the National Metrology Institute of Costa Rica. His research spans Quantum Optics, Quantum Biology, Surface Physics, and Educational Physics, with interdisciplinary work in art conservation, biophysics, and cultural heritage science. Education: Postdoc Fellowship, Institute for Quantum Optics and Quantum Information, University of Innsbruck (2016) PhD in Physics, Leibniz University Hannover (2012) M.Sc. in Physics, University of Costa Rica (2008) B.Sc. in Physics, University of Costa Rica (2003) Research Interests: His work bridges quantum physics with cultural heritage preservation, including material analysis of historical artifacts, fungal biodeterioration studies, and pedagogical innovations linking literature and science. He also investigates surface physics phenomena relevant to astrophysical ice transitions and quantum gas systems. Scientific Awards: Alexander von Humboldt Foundation Fellow Advising & Grants: While specific grants are not listed, his extensive co-authorship network and leadership roles indicate active collaboration in interdisciplinary research. His work on cultural heritage has involved student teams in material analysis and software development for artifact preservation. Labs & Teams: Leads the Spatially Resolved Ultracold Rydberg Physics group at the 5th Institute of Physics, focusing on quantum systems and their applications in precision measurement and cultural heritage science.

Andrea Beckمشاهده پروفایل

استاد

• Numerical Methods
• Computational Fluid Dynamics (CFD)
• Fluid Mechanics
• +۷ مورد دیگر

Prof. Dr.-Ing. Andrea Beck is a faculty member and Managing Director of the Institute of Aerodynamics and Gas Dynamics (IAG) at the University of Stuttgart. She leads the Numerical Methods in Fluid Mechanics working group, focusing on high-precision numerical methods for supercomputers, particularly discontinuous Galerkin (DG) methods. Her research spans fluid mechanics, aeroacoustics, plasma physics, and multiphase flows, with applications in wind energy, helicopter systems, and environmental aerodynamics. Role: Professor and Managing Director, IAG Committees: Member of the DFG Review Board, Strategy Committee for National HPC, and steering committee of High Performance Center Stuttgart. Her research emphasizes high-order methods, turbulence modeling, and data-driven approaches. She teaches courses such as 'Numerical Methods in Fluid Mechanics' and 'CFD Programming Projects', and has developed open-source software like FLEXI and HOPR for high-performance computing. Recent articles highlight advancements in entropy-stable DG methods, turbulence simulation using graph neural networks, and multiphase flow modeling. Her work integrates machine learning with CFD to enhance simulation accuracy and efficiency.

Lintong Houمشاهده پروفایل

پژوهشگر

• Multiphase Flow
• Fluid Dynamics
• Rheology
• +۷ مورد دیگر

Dr. Lintong Hou is a Researcher at Hamburg University of Technology (TUHH) in the Department of Geo-Hydroinformatics since July 2024. He holds a BSc in Civil Engineering from China University of Mining and Technology-Beijing (2018) and a PhD in Mechanical Engineering from the Institute of Mechanics, Chinese Academy of Sciences (2024), followed by postdoctoral research there. His expertise lies in multiphase flow dynamics, focusing on gas-liquid-solid phase interactions, phase separation under extreme conditions, and experimental methodologies for mass/energy transfer challenges. His current research at TUHH addresses river evaporation losses, aiming to quantify global fluvial network evaporation through multi-factor analysis. Prior work includes studies on oil-water emulsification, polymer rheology, and electrical resistance tomography applications. Key research interests include multiphase flow behavior, rheological modeling, and flow regime transitions in complex systems. Publications span Chemical Engineering Science, Industrial & Engineering Chemistry Research, and Ocean Engineering, emphasizing experimental and computational analyses of flow phenomena. His work bridges fundamental fluid mechanics with practical applications in environmental and energy sectors.

• Process Systems Engineering
• Chemical Engineering
• Energy Conversion Systems
• +۴ مورد دیگر

Prof. Kai Sundmacher is a Full Professor and Chair of Process Systems Engineering at Otto-von-Guericke University Magdeburg, and Director of the Max Planck Institute for Dynamics of Complex Technical Systems. His expertise spans model-based analysis of complex process systems, integrated chemical processes, energy conversion (fuel cells/electrolysis), and biosystems engineering. He holds a Dr.-Ing. habil. from Clausthal University of Technology and has held visiting positions at institutions worldwide. Research focuses include catalyst design for CO2 methanation, digital twins for power-to-X processes, and sustainable chemical production. Awards include the Arnold Eucken Prize (1999) and Carl Zerbe Prize (1998). He leads initiatives like the Max Planck Research Network for Synthetic Biology and chairs the German Chemical Energy Research group. Teaching covers advanced process systems engineering, fuel cell technology, and bioprocess design. Over 500 publications include 400 peer-reviewed articles, with contributions to journals like Chemical Engineering Science and Fuel Cells. Active in academic service, he reviews ERC grants, chairs selection committees, and advises the Alexander von Humboldt Foundation.