جست‌وجوی استاد و پژوهشگر

Alfred Kerschمشاهده پروفایل

استاد

• Physics
• Quantum Physics
• Physical Modeling
• +۳ مورد دیگر

Prof. Alfred Kersch is a Professor leading research in computational physics and semiconductor materials at an institution in Munich. He directs the Technical Physics study program and serves on the Bachelor Engineering Physics and Data Science working group. As Master User of the Leibniz Supercomputing Centre (LRZ), he leverages high-performance computing for materials research. His research integrates: Fundamental physics and quantum phenomena Multiscale materials simulation Machine learning for semiconductor optimization Defect engineering in hafnium/zirconium oxides Ferroelectric material design He leads significant externally funded projects including: SIDFEM (2025-2028): Ferroelectric optimization in HfZrO₂ CHIPS of Europe (2024-2028): Semiconductor industry-academia partnerships KI SPEED (2024-2028): AI-driven SiC power electronics D3PO (2022-2026): Defect physics in oxide devices ALPHA (2025-2027): Physics education technology He directs the Laboratory for Modeling and Simulation, focusing on computational approaches to materials science challenges.

• Photovoltaics
• Materials Science
• Electrocatalysis
• +۳ مورد دیگر

Íñigo Iribarren Aguirre is a Lecturer at the Technical University of Munich (TUM), affiliated with the Associate Professorship of Simulation of Nanosystems for Energy Conversion under Prof. Alessio Gagliardi within the School of Computation, Information and Technology. He is based in the Department of Electrical Engineering at the Department EI Building in Garching. His research spans critical energy conversion domains with emphasis on: Photovoltaic systems (Organic Solar Cells, Perovskite Solar Cells, Mixed Perovskites) Computational methodologies (Density Functional Theory, Molecular Dynamics, Kinetic Monte Carlo) Machine Learning applications (Graph Neural Networks, Materials Predictions, Multiscale Simulations) Electrocatalysis and hybrid organic devices Iribarren Aguirre actively contributes to teaching as a course assistant for engineering data analysis and quantum engineering seminars. His work aligns with major collaborative projects including DFG e-Conversion Clusters, EU Lion-Hearted, and TUM Innovation Networks ARTEMIS. The research group maintains strong industry ties through initiatives like BMWi ptj PrOperPhotoMiLe SOLAR.ERANET. Administratively, he operates from Room 5901.03.033 at Hans-Piloty-Str. 1, with direct contact via +49 (89) 289-51220 and institutional email. The group is housed under TUM's Department EI structure with administrative support from Bianca Ertl.

• Nonsmooth elliptic and parabolic problems involving multiple scales
• Variational problems and geometric partial differential equations
• Subspace correction methods
• +۸ مورد دیگر

Prof. Dr. Ralf Kornhuber is a faculty member at the Freie Universität Berlin , affiliated with the Department of Mathematics and Computer Science and the Numerical Analysis of Partial Differential Equations institute. His research focuses on advanced numerical methods for multiscale problems and applications in geosciences, biomechanics, and materials science. Education: Dr. rer. nat. in Mathematics (1986) and Diploma in Mathematics (1979), both from TU Berlin. Academic Career: Senior Professor at Freie Universität Berlin (since 2023), Full Professor (C4) at the same institution (1998-2022), and prior roles at University of Stuttgart, WIAS Berlin, and TU Berlin. Research Interests: He specializes in adaptive finite element methods, subspace correction techniques, and multiscale modeling of partial differential equations (PDEs). His work addresses nonsmooth elliptic/parabolic problems, geometric PDEs, and domain decomposition strategies, with applications spanning geoscience simulations, biomechanics, and material science. Scientific Boards & Committees: Chair of CRC 1114 Scaling Cascades in Complex Systems (2021-2022), leadership roles in MATH+, Berlin Mathematical School, and Helmholtz Research School GeoSim, alongside editorial positions at journals like SIAM Journal on Multiscale Modeling and Simulation . Recognition: Awarded the International Multigrid Prize in 2022 for collaborative contributions to multigrid methods.

Friederike Schmidمشاهده پروفایل

استاد

• Statistical Physics
• Soft Matter Theory
• Multiscale Modeling
• +۵ مورد دیگر

Friederike Schmid is a Professor (W3) of Theoretical Physics at the Institute of Physics, Johannes Gutenberg University Mainz (JGU). Her research group focuses on statistical physics and soft matter theory, with affiliations including the Collaborative Research Center CRC-TRR 146 'Multiscale simulation methods for soft matter systems' where she serves as spokesperson. Education includes a Habilitation (1997) and PhD (1991) from the University of Mainz under Kurt Binder, and a Diploma in Physics from Heidelberg University/LMU Munich (1989). Research spans multiscale modeling , nonequilibrium phenomena , and biological physics . Key interests include: Polymer dynamics and self-assembly Lipid membranes and nanomaterial design Biological interfaces and phase transitions Advanced simulation methods for soft matter Her publications demonstrate strong emphasis on computational approaches to polymer physics, biomolecular systems, and interfacial phenomena, with recent work exploring RNA delivery systems and biomolecular condensates. Honors include: APS Fellow (2023) JGU Teaching Award (2021) DFG Gerhard Hess Award (1998) Heisenberg Fellowship (1998) She leads the Schmid Group and coordinates major grants including DFG-funded projects. Editorial roles include Senior Editor for The Journal of Physical Chemistry and Divisional Associate Editor for Physical Review Letters . Her laboratory conducts interdisciplinary research in soft matter theory, collaborating with experimental groups and maintaining computational infrastructure for large-scale simulations.

• Structural Biology
• Computational Biology
• Cryo-Electron Microscopy
• +۳ مورد دیگر

Prof. Michael Habeck is a faculty member at the University of Göttingen, specializing in structural biology and computational methods. His research focuses on cryo-EM data analysis, molecular modeling, and integrating machine learning for biomedical applications. Advisor to 10+ PhD theses (2016–2023) Expertise in cryo-EM structure determination and validation Develops probabilistic models for dynamic proteins and change-point detection algorithms His work bridges structural biology with computational innovation, enabling high-resolution analysis of macromolecular complexes and advancing diagnostic tools via machine learning. Recent projects include CRISPR-edited cardiomyocyte models and super-resolution microscopy techniques. Key research areas span: Structural Biology: Cryo-EM, protein conformational changes Computational Methods: Bayesian modeling, tomography algorithms Machine Learning: Cardiac disease prediction, genomic data analysis

• Theoretical Physics
• Computational Physics
• Condensed Matter Physics
• +۵ مورد دیگر

Professor Igor Schapiro is a Research Professor at the Faculty of Physics, Technical University of Dortmund. His office is located in room P2-02-422 at Otto-Hahn-Str. 4, 44227 Dortmund, Germany. Professor Schapiro's research focuses on the theoretical and computational description of light-induced processes in condensed matter. His work spans both application and method development: Application: studying excited state reactions in solvated molecules and chromophore-protein complexes as they occur in nature Method development: creating advanced multireference methods for accurate description of electronic wavefunctions at critical points His research group specializes in handling degeneracies of electronic states, particularly conical intersections, which are pivotal in photochemical reaction pathways. They employ multiscale simulation techniques capable of modeling systems with thousands of atoms, bridging quantum mechanical accuracy with computational feasibility for complex biological and chemical systems. Professor Schapiro maintains an active research presence within the Condensed Matter Physics research focus area at TU Dortmund, collaborating with other faculty members in the department. His group's work contributes to fundamental understanding of light-matter interactions with potential applications in photobiology, materials science, and quantum chemistry. For more information about his research activities and group members, visit the Schapiro Group website at https://cmt.physik.tu-dortmund.de/schapiro-group/ .

• Lightweight Construction
• Composite Materials
• Computational Mechanics
• +۳ مورد دیگر

Professor Luise Kärger serves as faculty at Karlsruhe Institute of Technology (KIT), where she leads the Lightweight Technology Division within the Institute for Vehicle System Technology. Her research focuses on advancing computational and experimental methodologies for lightweight composite structures in automotive applications. Her primary research domains include: Lightweight Construction methodologies for vehicle systems Computational Mechanics of disordered fiber-reinforced materials Manufacturing Process Simulation (injection molding, overmolding, infiltration) Structural Analysis of composite damage mechanisms Fiber-Reinforced Polymer processing optimization Resource-efficient composite manufacturing digitization Professor Kärger maintains an active research portfolio with seven ongoing DFG projects through 2025, demonstrating sustained funding leadership. Her current work bridges multiscale simulation with experimental validation to solve critical challenges in composite material behavior during manufacturing and service life. Her scientific recognition includes: Prestigious DFG Heisenberg Grant for digitizing composite manufacturing processes As a supervisor, she provides students with hands-on experience in advanced simulation techniques and experimental mechanics through industry-collaborative projects. Her group specializes in developing physics-based process models that integrate data analytics with expert knowledge for structural process improvements. The Lightweight Technology Division operates as KIT's specialized hub for composite material innovation, combining high-fidelity manufacturing simulation with structural performance validation to advance next-generation lightweight vehicle components.

Joel Mieres Pérezمشاهده پروفایل

پژوهشگر

• Reactive intermediates
• Chemical reactivity and biocatalysis
• Free energy calculations
• +۲ مورد دیگر

Dr. Joel Mieres Pérez is a researcher at TU Dortmund University's Department of Computational Bioengineering, where he investigates chemical processes through computational modeling. His work focuses on reactive intermediates, biocatalysis mechanisms, and drug design methodologies. Research Focus Dr. Mieres Pérez specializes in computational approaches to chemical and biological systems, with core interests in: Reactive intermediate characterization Biocatalysis and chemical reaction modeling Free energy calculation methods Multiscale simulation frameworks Computational drug discovery pipelines He conducts this research through the Computational Chemical Reactivity group at TU Dortmund.

Ariane Nunes Alvesمشاهده پروفایل

استادیار

• Computational Biochemistry
• Protein-Ligand Binding Kinetics
• Molecular Dynamics Simulations
• +۳ مورد دیگر

Dr. Ariane Nunes Alves is a Junior Group Leader at Technische Universität Berlin's Institute of Chemistry, leading the Theoretical Structural Biology group . Her research bridges computational chemistry and biophysics, specializing in protein-ligand binding kinetics, enzyme catalysis in crowded cellular environments, and machine learning applications in drug design. Research Focus: Her lab develops methods to predict binding/unbinding pathways using molecular dynamics (e.g., tauRAMD) and AI models. Key areas include: Kinetics of protein-ligand interactions Effects of macromolecular crowding on enzymes Structure-based drug design with QSKR models Machine learning for hydrogenase pathway identification Awards & Fellowships: HITS Award for Women in Science (2020) Capes-Humboldt Research Fellowship (2019) CellNetworks Postdoctoral Program (2018) Fapesp Ph.D. Fellowship (2014) Teaching: She instructs graduate courses on applied machine learning in chemistry and computational drug design at TU Berlin. Her lab investigates substrate dissociation in hydrogenases, cellular environmental impacts on catalysis, and ML-based kinetic predictions.

Reinhard Schomäckerمشاهده پروفایل

استاد

• Catalysis
• Reaction Engineering
• Sustainable Chemistry
• +۵ مورد دیگر

Prof. Dr. Reinhard Schomäcker is a Professor at the Technical University of Berlin's Institute of Chemistry and a Group Leader at UniSysCat. His research bridges catalysis, reaction engineering, and sustainable chemistry, with applications in CO₂ utilization, photocatalytic hydrogen production, and hydrocarbon conversion. He leads the Reaction Engineering Group, focusing on catalyst design and process optimization. Research Interests: His work spans heterogeneous catalysis, kinetic studies, membrane reactors, and techno-economic assessments. Key areas include: Development of tandem catalytic systems for CO₂ hydrogenation Photocatalytic hydrogen evolution using advanced materials Design of nanocatalysts for industrial processes Awards & Recognition: Innovation Award of German Gas Industry (2016) UNIPRENEURS Award for entrepreneurial contributions (2023) Lab & Resources: He directs the Reaction Engineering Group ( www.reaction-engineering.tu-berlin.de ), which collaborates extensively within UniSysCat. The lab specializes in operando catalyst characterization and reactor design.

Lukas Stelzlمشاهده پروفایل

استادیار

• Computational Biology
• Biophysics
• Liquid-Liquid Phase Separation
• +۵ مورد دیگر

Dr. Lukas Stelzl is a Junior Group Leader at ReALity and IMB Associate Group Leader at the Institute of Molecular Biology (IMB), Johannes Gutenberg University Mainz. He serves as Principal Investigator at the Mainz Institute of Multiscale Modeling (M3ODEL) and Junior Faculty Member at Max Planck Graduate Center. His research employs multi-scale simulations to study biomolecular phase separation mechanisms. Research Focus: The Stelzl Lab investigates how liquid-liquid phase separation regulates cellular processes including: Transcriptional control in health vs. age-related diseases Post-transcriptional regulation during germ cell development Molecular specificity in disordered protein interactions Methodologically, the group develops simulation techniques bridging atomic-scale dynamics and mesoscale condensate formation. Key Collaborations: SFB/TRR 146: Multiscale soft matter simulations ReALity: Resilience and longevity research Max Planck Graduate Center training initiatives Lab website: Stelzl Lab

Paco Lopez Dekkerمشاهده پروفایل

دانشیار

• Remote Sensing
• Synthetic Aperture Radar
• Earth Observation
• +۵ مورد دیگر

Dr. Paco Lopez Dekker is an Associate Professor at Delft University of Technology's Department of Geoscience and Remote Sensing and Group Leader at the German Aerospace Center (DLR) Microwaves and Radar Institute. His research focuses on advanced radar remote sensing , particularly Synthetic Aperture Radar (SAR) systems for Earth observation. Key areas include: Bistatic/multistatic SAR configurations Ocean surface current and wave dynamics Land ice deformation monitoring Satellite mission design (e.g., ESA's Harmony mission) Radar signal processing innovations He leads the Satellite Radar Lab at TU Delft, developing cutting-edge techniques like super-resolution PSI and multi-satellite interferometry. His recent publications (2023-2025) emphasize: CubeSat-based radar altimetry systems Physics-guided ML for agricultural remote sensing Cryosphere applications of bistatic SAR Harmony mission performance analysis Ocean topography retrieval methods With 275+ publications and ongoing leadership in ESA missions, Dr. Dekker significantly advances satellite remote sensing capabilities for geoscience applications.

• Applied Mathematics
• Mathematical Modeling
• Continuum Mechanics
• +۵ مورد دیگر

Professor Alexander Mielke is a leading applied mathematician at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, with extensive involvement in Germany's premier mathematical research initiatives. His career centers on developing rigorous mathematical frameworks for complex physical phenomena, particularly through leadership roles in major DFG-funded programs including Priority Programmes and Collaborative Research Centers. His research spans critical areas of modern applied mathematics: Multiscale modeling of material behavior Mathematical theory of plasticity and hysteresis Continuum mechanics of multifield systems Pattern formation in coupled differential equations Variational methods for rate-dependent processes Professor Mielke's scientific leadership is demonstrated through his role as speaker of Priority Programme SPP 1095 'Analysis Modeling and Simulation of Multiscale Problems' and Collaborative Research Center SFB 404 'Multifield Problems in Continuum Mechanics'. Currently, he drives research as a participating scientist in the Cluster of Excellence MATH+ and sub-project manager for multiple Collaborative Research Centers, maintaining WIAS's prominence in mathematical research. His work consistently addresses fundamental challenges in connecting microscopic mechanisms to macroscopic material properties. Through the Berlin Mathematical School and MATH+, Professor Mielke actively mentors the next generation of applied mathematicians while securing sustained DFG funding for cutting-edge research. His collaborative approach spans theoretical development, numerical implementation, and physical application, particularly in materials science and engineering contexts.

• Molecular Dynamics
• Free Energy Calculations
• Non-Equilibrium Simulations
• +۳ مورد دیگر

Dr. Robinson Cortes-Huerto serves as Group Leader at the Max Planck Institute for Polymer Research (MPI-P) in Mainz since 2019, leading research in advanced molecular simulation methodologies within Prof. Kurt Kremer's department. His position represents a senior research-focused academic role equivalent to Research Professor in the German Max Planck system. His educational trajectory includes: Bachelor's and Master's degrees in Physics from Universidad Nacional de Colombia, Bogotá Doctorate (2010) from Queen's University Belfast under Prof. Pietro Ballone Postdoctoral research at CINaM-Marseille, INSP-Paris, and CEA-Saclay Research expertise centers on developing the adaptive solution method for free energy calculations and non-equilibrium molecular dynamics. Key innovations include spatially resolved thermodynamic integration techniques and spatial block analysis for extrapolating thermodynamic properties from finite simulations. His work bridges computational chemistry, statistical mechanics, and soft matter physics, with applications in solvation thermodynamics and pressure-driven flow analysis. Publications from 2018-2019 reveal cohesive methodological advancements: extending adaptive resolution to grand canonical ensembles, refining non-equilibrium work relations, and addressing finite-size effects through integral equations. These contributions establish robust frameworks for calculating chemical potentials in dense fluids while maintaining linear momentum conservation in non-equilibrium conditions. Scientific recognition includes: Alexander von Humboldt Research Fellowship (2015) As Group Leader, he directs independent research funding and mentors junior scientists within MPI-P's collaborative environment. His work with collaborators like M. Heidari and R. Potestio demonstrates strong interdisciplinary networks in computational physics. Current projects focus on extending adaptive resolution techniques to complex molecular systems while investigating pressure-driven flows and solvation state transitions. His laboratory operates within MPI-P's polymer research infrastructure, utilizing high-performance computing resources to develop simulation tools that bridge atomistic and coarse-grained representations. The group's methodology enables precise free energy calculations previously unattainable in traditional molecular dynamics frameworks.

• Toxicology
• Intravital Imaging
• Drug-Induced Liver Injury
• +۵ مورد دیگر

Dr. Reham Hassan Reyad Khalil Alkashef is a Scientific Associate in the Intravital Toxicology department at the Institute for Work Physiology (IFADO) at Technische Universität Dortmund. She works under the leadership of Prof. Dr. Jan G. Hengstler and specializes in advanced toxicological research using intravital imaging techniques to study liver toxicity, drug metabolism, and interspecies differences in toxic responses. Her primary research interests include: Intravital imaging of toxicological processes Drug-induced liver injury and mechanisms Bile acid transport and metabolism Mycotoxin (ochratoxin A, AFB1) metabolism and toxicity Species differences in toxicological responses Liver-kidney axis in toxicology Spatiotemporal distribution of toxins Dr. Alkashef's publication record demonstrates extensive work on liver toxicity mechanisms, with particular emphasis on acetaminophen-induced injury, bile acid homeostasis, and mycotoxin metabolism. Her research integrates intravital imaging with analytical techniques like HPLC-MS/MS to provide comprehensive understanding of toxicokinetics and toxicodynamics. Recent publications show her active role in developing liver digital twins for in silico toxicity testing and investigating the liver-kidney axis in cholestatic conditions. Her research has significant implications for drug safety assessment, understanding species differences in toxic responses, and developing strategies to mitigate drug-induced organ damage. She frequently collaborates with interdisciplinary teams including computational biologists, hepatologists, and pharmacologists to advance the field of toxicology.