جستجوی استاد راهنمای دانشگاهی

• Nanotechnology
• Materials Science
• Memristive Systems
• +۳ مورد دیگر

Dr.-Ing Alexander Vahl is a Researcher at the Technical Faculty of Kiel University, leading the subgroup Nanoparticles for Nanocomposites . He specializes in advanced materials science, focusing on nanoparticle synthesis, functional thin films, and neuromorphic engineering. His research bridges nanotechnology with applications in memristive systems and plasmonics, emphasizing strain-invariant conductors and photocatalytic growth mechanisms. Key projects include developing self-assembled nano-object networks for brain-inspired computing and optimizing gas aggregation cluster sources for novel material fabrication. His work spans disciplines such as memristive switching, plasmonic metasurfaces, and bio-inspired electronics. Notable contributions include studies on silver/polymer nanofluids, ITO-TiO₂ heterojunctions, and multicomponent nanoparticle synthesis. Vahl collaborates with the Chair for Functional Nanotechnology, leveraging interdisciplinary expertise to advance materials innovation. His articles highlight advancements in neuromorphic systems, photocatalytic deposition, and thin-film technologies. The research emphasizes scalability and real-world applications, such as energy-efficient sensors and hybrid zinc batteries. Vahl’s subgroup webpage and extensive publications reflect a commitment to pushing boundaries in nanomaterials engineering.

Christian Liebscherمشاهده پروفایل

استاد

• Advanced Transmission Electron Microscopy
• Materials Science
• Energy-Related Materials
• +۶ مورد دیگر

Prof. Christian Liebscher is a Professor of Advanced Transmission Electron Microscopy at the Ruhr University Bochum , affiliated with the Faculty of Physics and Astronomy and the Research Center Future Energy Materials and Systems (RC FEMS). His work focuses on developing cutting-edge TEM techniques to understand energy-related materials' atomic-scale structure-functionality relationships. He combines aberration-corrected scanning TEM (STEM), 4D-STEM, and in-situ microscopy with machine learning to analyze complex material datasets. Education and Career: 2000–2006: Study of Materials Science at the University of Bayreuth. 2006–2010: PhD at the University of Bayreuth (summa cum laude) with a thesis on phase and dislocation analysis in superalloys. 2011–2014: Postdoc at the University of California, Berkeley, and the National Center for Electron Microscopy (Lawrence Berkeley National Laboratory). 2014–2015: Staff scientist at the University of Duisburg-Essen. 2015–2024: Group leader at the Max Planck Institute for Sustainable Materials in Düsseldorf. Research Interests: Prof. Liebscher’s research bridges microscopy innovation and materials understanding. He emphasizes atomic-scale characterization of interfaces, defects, and grain boundaries in metals and alloys using advanced STEM and 4D-STEM. His work addresses how structural features—like segregation, strain, and phase transitions—impact material properties. He also pioneers machine learning tools to automate data analysis from microscopy and tomography, advancing materials dataspaces. Key topics include energy materials (e.g., PEM fuel cells), high-entropy alloys, and nanomaterials for applications like semiconductors and electromagnetic absorption. Scientific Contributions: His publications highlight trends in grain boundary phase transitions, microstructure-property correlations, and integration of AI into microscopy. For example, recent work explores how grain boundary complexions affect mechanical strength in alloys and how in-situ TEM reveals deformation mechanisms under realistic conditions. He has contributed significantly to methodologies like scanning precession electron diffraction tomography and unsupervised machine learning for atomic-resolution datasets. Labs and Collaborations: Prof. Liebscher leads the Advanced Transmission Electron Microscopy group at RUB, building on his previous leadership at the Max Planck Institute. His lab collaborates with institutions like the Lawrence Berkeley National Laboratory and integrates interdisciplinary approaches combining experimental microscopy with computational modeling.

• Financial Mathematics
• Insurance Mathematics
• Stochastic Processes
• +۳ مورد دیگر

Prof. Francesca Biagini is a Full Professor of Applied Mathematics at the University of Munich (LMU), leading the Department of Mathematics within the Faculty of Mathematics, Computer Science, and Statistics. She holds additional roles as Vice President for International Affairs and Diversity at LMU since 2019, and served as President of the Bachelier Finance Society (2022–2023). Her academic career includes professorships at LMU (since 2009) and prior roles at the University of Bologna and Leibniz University Hannover. She specializes in financial and insurance mathematics, focusing on asset pricing, systemic risk, and model uncertainty. Education: PhD in Mathematical Finance (Scuola Normale Superiore, 2001), Laurea in Mathematics (University of Pisa, 1997). She has advised over 14 PhD students and 180+ master/bachelor students, collaborating with institutions like Allianz, MunichRe, and SwissRe. Research: Biagini’s work bridges financial and actuarial mathematics, including stochastic processes, systemic risk modeling, and insurance frameworks. Notable contributions include modeling asset bubbles, xVA calculations, and liquidity-based frameworks. She has published extensively in journals like *Finance and Stochastics* and *Mathematical Finance*. Awards and Activities: Recipient of the Prinzessin Therese von Bayern Preis (2019) and Zonta Clubpreis (2015). She organizes international conferences, serves on editorial boards (e.g., *Mathematical Finance*), and chairs the Munich Risk and Insurance Center. Her research is funded by grants from BayernLB and LMU Excellence programs.

Stephan Raveمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Scientific Computing
• Machine Learning
• +۴ مورد دیگر

Dr. Stephan Rave is a Researcher in the Institute for Analysis and Numerics at the University of Münster. He is affiliated with the Applied Mathematics Münster cluster and serves as an Investigator in Mathematics Münster. His work focuses on numerical analysis, scientific computing, and machine learning, with a strong emphasis on model reduction techniques for complex systems. Education : PhD in Mathematics (2012), University of Münster, thesis on finitely summable K-homology. Master's and Bachelor's degrees in Mathematics from the University of Münster. Research Interests : Dr. Rave specializes in model order reduction (MOR) methods, including reduced basis techniques, localized orthogonal decomposition (LOD), and nonlinear approximation strategies. His work addresses challenges in multiscale modeling, domain decomposition, and parametrized partial differential equations. He also develops open-source software tools like pyMOR for MOR and contributes to initiatives like the MaRDI (Mathematical Research Data Initiative) to enhance interoperability in scientific computing. Projects : Key initiatives include the MaRDI project (2021–2026), EXC 2044 Cluster of Excellence (Geometry-based modeling), and MULTIBAT (lithium-ion battery simulation). His research bridges theoretical developments with practical applications in battery modeling, electrochemistry, and computational fluid dynamics. Grants & Awards : Funded by DFG, the German Federal Ministry of Research, and internal university grants, his work addresses strategic areas like sustainable research software and energy storage systems. He leads projects on distributed model reduction and communication-avoiding algorithms. Teaching : Dr. Rave teaches advanced numerical methods courses, including Model Order Reduction, Numerical Methods for PDEs, and Python-based computational labs. He co-organizes seminars and workshops on MOR and scientific software engineering.

Jens von Wolfersdorfمشاهده پروفایل

استاد

• Thermal Engineering
• Fluid Dynamics
• Aerospace Engineering
• +۳ مورد دیگر

Jens von Wolfersdorf is a Professor at the University of Stuttgart's Faculty of Engineering, Department of Mechanical Engineering. His research focuses on advanced thermal management systems for high-speed aerospace applications, particularly in the areas of heat transfer, fluid dynamics, and combustion. He specializes in experimental and numerical methods for analyzing complex flows in rotating and stationary cooling channels, transpiration cooling for rocket engines, and turbulence modeling. His work integrates cutting-edge techniques such as thermochromic liquid crystal (TLC) measurements, particle image velocimetry (PIV), and computational fluid dynamics (CFD) to validate novel cooling configurations. Key projects include the COOREFLEX-Turbo initiative and contributions to the European ATLLAS-II program for high-speed vehicle materials. Recent studies emphasize rotational heat transfer effects in two-pass cooling channels, additive manufacturing of ribbed cooling structures, and validation of coupled FEM-CFD frameworks. His research addresses challenges in aerospace thermal protection, turbine blade cooling, and scramjet combustor efficiency. Publications span over 15 years, with a focus on transient heat transfer, flow visualization, and material characterization for transpiration-cooled systems. Collaborations involve experimental facilities for high-speed flows and advanced thermal measurement systems.

Franz Pfeifferمشاهده پروفایل

استاد

• X-ray Physics
• Biomedical Imaging
• Computed Tomography
• +۶ مورد دیگر

Prof. Dr. Franz Pfeiffer is a full professor at the Chair of Biomedical Physics within the Department of Physics at the Technical University of Munich (TUM) . He has served as director of the Munich School of BioEngineering since 2016. His research focuses on translating advanced X-ray physics concepts to biomedical imaging and clinical applications, particularly for early cancer and osteoporosis diagnostics. Research Interests: X-ray phase-contrast and dark-field imaging, synchrotron instrumentation, CT reconstruction algorithms, and medical imaging technology. Awards: Alfred Breit Prize (2017) ERC Advanced Grant (2016) Leibniz Prize (2011) National Latsis Prize (2010) ERC Starting Grant (2009) His work bridges fundamental X-ray physics with clinical translation, involving collaborations with radiologists, engineers, and medical researchers. Recent publications emphasize AI integration in CT, dark-field chest radiography, and spectral imaging applications.

• Dynamic Decision Problems
• Equilibrium Models and Games
• Optimal Learning
• +۵ مورد دیگر

Prof. Sven Rady is a leading academic at the Department of Economics at the Hausdorff Center for Mathematics , University of Bonn. He serves as a Hausdorff Chair for Mathematical Economics and Deputy Spokesperson for Collaborative Research Centre TR224. Research Interests include dynamic decision problems, equilibrium models, optimal learning, and strategic experimentation, with significant contributions to information economics and stochastic game theory. His work bridges mathematical modeling with economic theory, focusing on markets, learning dynamics, and policy implications. Scientific Awards include Fellow of the Econometric Society (2023) Teaching Awards at the University of Bonn (2021, 2022) CESifo Outstanding Referee Award (2013) Teaching Award of the State of Bavaria (2005) Key Collaborations involve interdisciplinary research at the intersection of economics and mathematics. He leads projects in the CRC TR224 and contributes to HCM initiatives on probabilistic modeling and information economics.

Florian Hausenمشاهده پروفایل

استاد

• Electrochemistry
• Nanotechnology
• Materials Science
• +۵ مورد دیگر

Florian Hausen is a Professor for Applied Interface Electrochemistry at RWTH Aachen University and leads the scanning probe microscopy focused group at the Fundamentals of Electrochemistry (IET-1) department within Forschungszentrum Jülich . His work bridges electrochemistry, nanotechnology, and materials science, with a focus on energy storage systems. Education : Studied Chemistry at the University of Bonn PhD in Physics from Saarland University Hausen's research interests center on in-situ/operando scanning probe techniques to study interfaces in energy materials, including solid-state batteries , proton exchange membrane water electrolyzers , and ionic liquids . His group explores: Correlative microscopy (AFM, SEM, EPR) for multi-scale analysis Mechanical properties under electrochemical load Tribology of materials in battery systems Interphases in lithium, zinc, and silicon-based energy technologies The article trends reflect his expertise in: Nanoscale electrochemical characterization of battery and electrolyzer components Material degradation under dynamic cycling and electrochemical stress Correlation of electrical, mechanical, and chemical properties in energy systems Technique development for operando studies and data reproducibility His work contributes to understanding and improving: Lithium plating and SEI formation Nanomechanical stability of electrolyzer anodes and cathodes Carbon nanofiber properties for battery electrodes Doping effects in ceramic solid electrolytes

• Lab-on-a-Chip Technology
• Microfluidics
• Molecular Diagnostics
• +۳ مورد دیگر

Apl. Prof. Dr. Felix von Stetten is an Associate Professor and Senior Scientist at the Laboratory for MEMS Applications within the Department of Microsystems Engineering (IMTEK) at the University of Freiburg. He also serves as an Executive Board Member at the Hahn-Schickard Institute of Microanalysis Systems. His work bridges academia and industry, focusing on lab-on-a-chip technologies, microfluidics, and energy harvesting for biomedical applications. Education: Studied Agricultural Sciences and Biotechnology at the Technical University of Munich, earned a PhD in Microbiology there. Post-2004, he joined IMTEK’s MEMS Applications Lab, later co-founding Hahn-Schickard’s Lab-on-a-Chip division in 2008, which became an independent institute in 2016 under his leadership. Research Interests: His work centers on miniaturized diagnostic systems (e.g., Lab-on-a-Disk platforms), energy harvesting for medical implants, and microfluidic applications. Key innovations include centrifugal microfluidic systems, smartphone-integrated diagnostic tools, and glucose fuel cell technologies. Publications: Over 1200 citations highlight contributions to microfluidic unit operations, digital PCR, and field-deployable diagnostics. Recent work emphasizes automation in pathogen detection and flexible lab-on-foil platforms. Awards: Not explicitly listed in provided texts. However, his leadership roles and impactful research suggest significant recognition in microsystems engineering. Advising/Grants: Leads major projects like BrainLinks–BrainTools and contributes to initiatives such as FRIAS and PlanOS. Manages interdisciplinary teams and collaborates with industry partners like Endress+Hauser and TwistDx. Labs/Teams: Oversees the Hahn-Schickard Institute for Microanalysis Systems and collaborates with IMTEK’s Application Development group. Active in spin-off ventures such as SpinDiag GmbH.

Frank Mücklichمشاهده پروفایل

استاد

• Materials Science
• Surface Structuring
• Micro- and Nanostructuring
• +۹ مورد دیگر

Professor Dr.-Ing. Frank Mücklich is a leading materials scientist at Saarland University, where he holds the Chair of Functional Materials within the Faculty of Natural Sciences and Technology. He leads a research group dedicated to the investigation of micro- and nanostructures, surface functionalization, and 3D microstructure analysis. His work bridges experimental and theoretical approaches in materials science and engineering. Professor of Functional Materials, Saarland University (since 1995) Founder, European School for Materials Research (2008) Founder, Material Engineering Center Saarland (MECS) (2009) President (Science), German Society for Materials Science (2018) Member, German Academy of Science and Engineering (acatech) (2018) His primary research interests include surface structuring, micro- and nanostructuring, plasma-material interaction, thin films, and advanced materials characterization techniques. He employs pulsed laser beams, electrical discharge machining, and statistical methods to manipulate and analyze material properties across micro, nano, and atomic scales. His co-authored book Statistical Analysis of Microstructures in Materials Science is a key reference in the field. Frank Mücklich has received numerous national and international awards recognizing his contributions to materials science and engineering. His leadership extends beyond research into education and technology transfer, particularly through the Steinbeis Foundation and MECS. Georg Masing Memorial Prize (1994) Alfried Krupp Prize (1997) Werner Köster Prize (2007, 2010) Henry Clifton Sorby Award (2016) Berthold Leibinger Innovation Prize (2016) Heyn Commemorative Medal (2023) Albert Keil Prize (2023) He advises graduate students and leads a dynamic research team focused on functional materials. His work is supported by collaborations with industry and academic institutions, and he plays a central role in advancing materials research in Germany through institutional leadership and innovation in materials engineering. Prof. Mücklich established the Department of Functional Materials at Saarland University and continues to lead cutting-edge research through his working group and the Material Engineering Center Saarland (MECS), which functions as a hub for interdisciplinary materials research and industrial collaboration.

Boris Kausمشاهده پروفایل

استاد

• Geodynamics
• Lithospheric Deformation
• Numerical Modeling
• +۵ مورد دیگر

Boris Kaus is a Full Professor and Chair of Geophysics and Geodynamics at the Institute of Geosciences, Johannes Gutenberg University Mainz, Germany. His research focuses on understanding geological processes from grain scale to planetary scale using mathematical and numerical models. Funded by the German Research Foundation, European Research Council, and BMBF, his work spans lithospheric deformation, melt migration, fold-and-thrust belts, and high-performance computing applications in geosciences. His research interests center on geodynamic modeling of lithospheric processes, including subduction zones, mantle convection, and crustal deformation. Kaus develops novel numerical approaches to simulate complex geological phenomena, with emphasis on coupling between erosion, lithosphere dynamics, and mantle flow. His group creates specialized software for high-performance computing systems to tackle multi-scale geophysical problems. His scientific awards include the Paul Niggli Medal, EGU Arne Richter Award, multiple ERC grants (Starting, Proof-of-Concept, Consolidator), and the Carl Friedrich Gauss Lecturer honor. He has received recognition for editorial contributions including G-Cubed's Excellence in Refereeing award. ERC Consolidator Grant MAGMA (2018-2023) ERC Proof of Concept Grant SALTED (2016-2017) ERC Starting Grant MODEL (2010-2015) John von Neumann Excellence Project for HPC ETH Medal for Ph.D. thesis Kaus actively supervises graduate students and leads research projects funded by major European and German agencies. His group develops open-source software like GeophysicalModelGenerator.jl and maintains strong collaborations with international institutions including ETH Zürich and USC. Current projects focus on magma dynamics, lithospheric shear localization, and the development of advanced numerical methods for geodynamic simulations. The research group operates within the Geodynamics & Geophysics team at JGU Mainz, utilizing high-performance computing resources and collaborating with multiple European research initiatives including IMPRS and FORTHEM networks. Their laboratory specializes in numerical modeling of Earth systems with applications to tectonics, volcanology, and crustal evolution.

• Banking Management
• Risk Management
• Capital Markets
• +۷ مورد دیگر

Prof. Dr. Thomas Heidorn is Professor of Banking Management at the Frankfurt School of Finance & Management, where he has served since the institution's foundation in 1991. He directs the Centre for Practical Quantitative Finance and teaches Financial Mathematics, Risk Management, Derivatives, and Treasury courses across Bachelor's and Master's programs. His academic journey includes: High School Diploma (Bloomfield Hills, Michigan, 1977) Abitur (Hannover, 1979) Pre-degree in Economics (University of Hannover, 1981) MA in Economics (University of Santa Barbara, 1983, Fulbright scholarship) Doctoral degree (Christian-Albrechts-University Kiel, 1986) Professor Heidorn's research centers on practical quantitative finance , with expertise in Investment Banking, Risk Management, Capital Markets, and Derivatives. His work spans Hedge Funds, Commodity Investments, ESG Integration, and Corporate Treasury strategies, emphasizing regulatory impacts like Basel III/IV and LIBOR transition. He bridges academic rigor with industry applications through extensive consulting for corporations and public institutions. His publication trends reveal consistent focus on evolving financial landscapes: recent works analyze post-LIBOR derivatives markets, ESG's impact on volatility, corporate hedging frameworks, and Basel regulation mechanics. This reflects his commitment to solving real-world banking challenges through quantitative methodologies. He actively shapes industry standards as: Board member of Reuters Innovation Award Head of Academic Advisory Board for Portfolio Institutionell Award Editor of Knapps Enzyklopädisches Lexikon Leader of DVFA's Expert Group 3 on Structured Product Ratings Professor Heidorn co-manages professional certification programs including the Certified Corporate Treasurer (with VDT) and HVB/Frankfurt School's Junior Exam Markets training. His office hours are Wednesdays 4-5 PM by appointment (Room 3.08).

Walid Hetabaمشاهده پروفایل

پژوهشگر

• Electron Microscopy
• X-ray Photoelectron Spectroscopy (XPS)
• Catalysis
• +۳ مورد دیگر

Dr. Walid Hetaba is a Group Leader in the Scientific Infrastructure department at the Max Planck Institute for Chemical Energy Conversion (MPI CEC), specializing in Electron Microscopy and X-ray Photoelectron Spectroscopy (XPS). He leads a research group focused on advanced materials characterization, particularly for catalytic systems. His academic background includes a Diplom in Technical Physics (Dipl.-Ing.) and a Dr.techn. from TU Wien (2011–2015). Prior to his current role, he held postdoctoral positions at TU Wien, Universität Bielefeld, and the Fritz Haber Institute of the Max Planck Society (2016–2020). Dr. Hetaba's research emphasizes the structural and electronic characterization of materials at micro- and nanoscales, linking material properties to catalytic function. His group develops methodologies for TEM/XPS analysis, including ChemiTEM—a TEM optimized for chemistry and materials science. Key research areas include catalyst design, nanomaterial synthesis, and surface science, with applications in energy storage and conversion. His group operates state-of-the-art equipment such as the Thermo Scientific Talos F200X TEM, Phenom Pharos SEM, and NAP-XPS systems. They collaborate extensively with other research groups to advance catalysis and materials science. Current projects include the UniSysCat cluster on bimetallic nanocatalysts and FAIRmat data standardization initiatives. Dr. Hetaba has published extensively in journals like Advanced Energy Materials , ACS Catalysis , and Chemistry-Methods , focusing on topics such as magnetic catalysts, nanomaterial functionalization, and surface reactivity. His work bridges fundamental material science with applied catalysis, driving innovations in energy technologies.

• Mathematical Analysis
• Partial Differential Equations
• Stochastic Homogenization
• +۴ مورد دیگر

Felix Otto is a Director at the Max Planck Institute for Mathematics in the Sciences and an Honorary Professor for Analysis and Mathematical Modeling at the University of Leipzig. His research focuses on pattern formation, energy landscapes, and scaling laws, with contributions to stochastic homogenization, PDEs, and optimal transport. He has held academic positions at the University of California and the Hausdorff Center for Mathematics. Notable grants include projects on microstructure formation in thin coatings and stochastic homogenization. He has organized conferences such as the ICM satellite conference on Probability and Mathematical Physics. His work bridges pure and applied mathematics, with implications for materials science and fluid dynamics. Education: Diplom (1990), PhD (1993) from Bonn University. Postdoctoral roles at Bonn, Courant Institute, and CMU. Tenured faculty roles at UCSB (1998–2010) and Bonn (1999–2010). Research interests span stochastic PDEs, calculus of variations, and the mathematical theory of materials. Grants include BMBF and DFG projects on microstructure modeling and homogenization.

Michael N. Smolkaمشاهده پروفایل

استاد

• Addictive Behavior
• Neuroscience
• Psychiatry
• +۷ مورد دیگر

Prof. Michael N. Smolka is a Professor in the Department of Psychiatry and Psychotherapy, focusing on neuro-cognitive mechanisms underlying addictive behaviors. His research employs longitudinal approaches to study addiction development, maintenance, and recovery, integrating computational modeling of behavior with functional MRI to map brain systems. Key areas include executive functions, decision-making, learning, and motivation. He contributes to research consortia such as SFB 940 and TRR 265. Research interests emphasize brain-behavior interactions in mental health, with studies on genetic risk factors, environmental influences, and neuroimaging correlates of psychiatric disorders. His work bridges clinical psychiatry with cutting-edge computational methods, aiming to develop diagnostic tools and personalized interventions. Recent studies explore machine learning applications for predicting substance use disorders and eating disorders, alongside investigations into developmental trajectories of brain morphology and cognitive control mechanisms. Publications highlight interdisciplinary approaches, linking genetic, environmental, and neurobiological factors to addictive behaviors and mental health outcomes. His contributions to frameworks like brain-derived nosology and diathesis-stress models reflect his commitment to advancing translational research in psychiatry.