جست‌وجوی استاد و پژوهشگر

• Financial stability and financial supervision
• Risk management in the financial sector
• Sustainable Finance
• +۳ مورد دیگر

Prof. Dr. Patrik August Buchmüller has been Professor of Economics and Business Administration for Banking and Finance at Baden-Württemberg Cooperative State University (DHBW) Villingen-Schwenningen since 2024. Previously, he worked as an independent consultant (2018–2024) advising financial institutions and supervisors on regulatory risk management, and held senior risk-management roles at Postbank AG, Bayerische Landesbank, and the Federal Financial Supervisory Authority (BaFin). Education: Doctoral studies in Economics, University of Tübingen (1999–2003, DFG-funded) Diplom in Economics, University of Tübingen & studies in Ontario, Canada (1993–1999) Research Focus: His work centers on ensuring financial stability through rigorous supervision and risk management. Key areas include sustainable finance, digital transformation in banking, operational risk under Basel frameworks, and the regulatory implications of cloud computing and IT outsourcing. Publications Overview: Since 2002 he has authored or co-authored numerous monographs, journal articles and handbook chapters. Recent outputs (2023–2025) concentrate on sustainability risk disclosure under CSRD, implementation guidance for the EU’s Digital Operational Resilience Act (DORA), and evolving supervisory expectations for cloud outsourcing. Earlier works provided authoritative commentary on Basel II/III operational-risk requirements, ICAAP/ILAAP, and MaRisk interpretation. Professional Contributions: He regularly contributes to policy debates via podcasts and industry blogs, translating complex regulatory changes into actionable guidance for practitioners. Contact: Room C 2.17, Friedrich-Ebert-Str. 30, 78054 Villingen-Schwenningen, Germany Email: patrik.buchmueller@dhbw.de

Martin Hofmannمشاهده پروفایل

استاد

• Fracture Mechanics
• Crack Pattern Formation
• Forming Process Simulations
• +۳ مورد دیگر

Dr.-Ing. Martin Hofmann is a Professor at Dresden University of Technology (Technische Universität Dresden) affiliated with the Chair for Mechanics of Multifunctional Structures . His research focuses on fracture mechanics, crack pattern formation, and forming process simulations, combining theoretical analysis with experimental techniques like X-ray tomography and radiography. University: Dresden University of Technology Department: Chair for Mechanics of Multifunctional Structures Academic Rank: Professor Research Interests: Hofmann's work addresses fundamental and applied aspects of mechanical behavior in materials, including: Fracture mechanics of composite membranes Thermal shock crack scaling laws Hexagonal basalt column formation mechanisms Damage modeling for limited-ductility materials Process-induced defect analysis in mechanical joining Publication Trends: His research spans 15+ years, combining computational modeling (e.g., bifurcation analysis, GISSMO simulations) with experimental validation in both artificial and natural material systems. Key subfields include hydrogel composites, volcanic rock fracture dynamics, and advanced manufacturing defect mitigation. Labs & Teams: As chair holder, Hofmann leads research on multifunctional structures, collaborating with institutions like the American Physical Society and participating in international conferences such as ESAFORM and LS-DYNA Forum.

• Information Retrieval
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Professor Klaus Berberich is a faculty member at htw saar (Saarland University of Applied Sciences), where he serves as Professor in the Databases & Information Systems department within the Faculty of Engineering. He is the Laboratory manager of the software laboratory (SWL) and Chairman of the examination boards for Practical Computer Science, Communication Informatics and Production Informatics. His research focuses on Information Retrieval, Machine Learning, Data Mining, and Web Archives, with significant contributions to knowledge graphs, temporal information retrieval, and neural information retrieval models. Professor Berberich has developed innovative approaches for quantity extraction from web tables, structuring text into tables, and knowledge graph querying. His publication record shows a consistent trend toward increasingly sophisticated neural approaches to information retrieval, evolving from traditional temporal search techniques to modern deep learning models. Recent work demonstrates strong integration of knowledge graphs with neural information retrieval systems, particularly in handling quantities and temporal aspects of information. Professor Berberich has received numerous prestigious awards throughout his career: 2020: Test of Time Award, ECIR 2020 2018: Honorable Mention for Best Poster Award, WWW 2018 2017: Prominent Paper Award, Artificial Intelligence Journal 2014: Highly Commended Poster Presentation Award, IIiX 2014 2013: Honorable Mention for Best Paper Award, CIKM 2013 2011: Best Demo Award, WWW 2011 2009: Best Late-Breaking Result Award, WSDM 2009 As an active researcher and educator, Professor Berberich serves on numerous program committees for major conferences including WSDM, CIKM, SIGIR, and ICTIR. He has been a consistent reviewer for prestigious journals in the field and is a member of the executive committee of the Information Retrieval specialist group of the German Informatics Society. His teaching portfolio includes courses in Databases, Information Retrieval, Data Science, Machine Learning, and Deep Learning. Professor Berberich leads the software laboratory (SWL) at htw saar and has been instrumental in developing research infrastructure for knowledge-centric tasks, including the GYANI indexing infrastructure. His research group has made significant contributions to temporal information retrieval, particularly in the context of web archives and news archives.

Marco Güntherمشاهده پروفایل

استاد

• Mathematical Modeling
• Computational Fluid Dynamics (CFD)
• Multiphase Flows
• +۳ مورد دیگر

Prof. Dr. Marco Günther is a faculty member in the Faculty of Engineering at Saarland University of Applied Sciences, specializing in Mathematics and Fluid Mechanics. His academic role includes teaching and research leadership in computational fluid dynamics and simulation. Research Focus: Mathematical modeling of flow processes, multiphase flows, and CFD applications Lectures: Mathematics for engineering, numerical simulation, technical fluid mechanics Projects: Numerical simulation of laser welding, flow behavior in wastewater treatment, and particle-laden flows External Affiliation: Scientific consultant for Fraunhofer-ITWM's Transport Processes division His research emphasizes industrial applications of fluid mechanics, with projects spanning from wind turbine optimization to urban water management. The Linux-based simulation tool 'gm.linux' was developed as a companion to his widely adopted textbook on mathematical modeling.

Rajmadan Lakshmananمشاهده پروفایل

پژوهشگر ارشد

• Optimal Transport Theory
• Stochastic Optimization
• Financial Mathematics
• +۳ مورد دیگر

Rajmadan Lakshmanan is a Research Fellow at the Faculty of Mathematics , Technische Universität Chemnitz , specializing in optimal transport theory, stochastic optimization, and computational finance. Since 2021, he has contributed to academic development through teaching assistant roles and active participation in research seminars and workshops.

Johannes Neugebauerمشاهده پروفایل

استاد

• Quantum Chemistry
• Computational Chemistry
• Theoretical Organic Chemistry
• +۳ مورد دیگر

Professor Johannes Neugebauer serves as University Professor of Theoretical Organic Chemistry at the Institute of Organic Chemistry, University of Münster, where he leads a research group dedicated to developing quantum chemical methodologies for complex chemical environments including solvents, proteins, molecular crystals, and surfaces. His work bridges theoretical predictions with experimental validation through extensive collaborations across multiple disciplines. Neugebauer's research focuses on advanced computational approaches including subsystem-based Density Functional Theory (DFT) and density-based embedding methods for both ground and excited electronic states. His group has pioneered subsystem methods for excited states and linear-response properties, developed theoretical frameworks for light-driven processes, and created multi-level electron-correlation techniques. Key contributions include the Subsystem Quantum Chemistry Program SERENITY and insights into light-enabled deracemization of cyclopropanes through collaborations with experimental groups. The research spans applications in molecular spectroscopy, catalytic processes, and materials science, with emphasis on selective and efficient calculations for complex systems. Analysis of recent publications reveals a consistent trajectory toward increasingly sophisticated computational models for chemical reactivity, with growing emphasis on interdisciplinary applications in photochemistry, surface science, and catalytic reaction mechanisms. The work demonstrates strong integration between method development and practical applications across organic chemistry, materials science, and spectroscopy. Professor Neugebauer has mentored numerous doctoral students who have established careers at prestigious institutions worldwide, including ETH Zurich, University of Basel, Rutgers University, and University of Bristol. His research is supported by major collaborative initiatives including CRC 1459 "Intelligent Matter", IRTG 2678 Münster-Nagoya on Functional Pi-Systems, CMTC (Center for Multiscale Theory and Computation), SoN (Center for Soft Nanoscience), and BACCARA (International Graduate School of Battery Chemistry). The Neugebauer group operates within the University of Münster's Institute of Organic Chemistry while maintaining active participation in multiple interdisciplinary research centers. The group collaborates extensively with experimental chemistry teams both within Münster and internationally, particularly in the areas of photocatalysis, surface chemistry, and molecular modeling. Current research directions include advancing quantum chemical methods for machine learning integration and developing computational tools for next-generation materials design.

• Radiative Heat Transfer
• Ultrafast Laser-Tissue Interactions
• Nanoscale Thermal Transport
• +۴ مورد دیگر

Professor Zhixiong Guo is a distinguished faculty member in the Department of Mechanical and Aerospace Engineering at Rutgers, The State University of New Jersey. He serves as Editor-in-Chief for the Journal of Enhanced Heat Transfer and Heat Transfer Research, and has made significant contributions to thermal sciences and engineering. His research spans multiple domains including radiative heat transfer, ultrafast laser-tissue interactions, and nanoscale thermal phenomena. Professor Guo received his educational foundation at Tsinghua University in Beijing, China, where he earned a B.S., M.S., and Dr. Eng. in Engineering Physics. His academic excellence was evident as he graduated first in his class (1/28) for his B.S. and completed his M.S. one year ahead of schedule. He then pursued and completed his Ph.D. in Mechanical Engineering from Polytechnic University (now Polytechnic School of Engineering, New York University) in just two years. Professor Guo's research interests center on advanced heat transfer phenomena, with particular expertise in radiative transfer in participating media, ultrafast laser-tissue interactions, and nanoscale thermal transport. His work bridges theoretical modeling with practical applications in energy systems, biomedical engineering, and materials science. He has pioneered computational methods for solving complex radiation transfer problems and developed innovative optical sensing techniques using whispering-gallery mode resonators. Analysis of Professor Guo's recent publications reveals a strong focus on emerging thermal technologies, including machine learning applications in heat transfer prediction, nanofluid thermal properties, and advanced materials for thermal management. His work demonstrates a clear trajectory from fundamental radiative transfer research toward practical applications in energy efficiency, biomedical diagnostics, and advanced manufacturing. Professor Guo has received numerous prestigious honors including: Fellow of the American Society of Mechanical Engineers (ASME), 2011 Fellow of the American Society of Thermal and Fluids Engineers (ASTFE), 2021 Rutgers, The Board of Trustees Award for Excellence in Research, 2018 As Editor-in-Chief of two leading journals in the field, Professor Guo has significantly shaped the direction of thermal sciences research. His laboratory at Rutgers focuses on cutting-edge research in optical thermal sensing, ultrafast radiation phenomena, and advanced computational methods for heat transfer analysis. Current research directions include machine learning applications in thermal systems and novel approaches to energy conversion and storage.

Thomas Izginمشاهده پروفایل

پژوهشگر

• Numerical Analysis
• Partial Differential Equations
• Scientific Computing
• +۳ مورد دیگر

Thomas Izgin is a researcher at the Institute of Mathematics, University of Kassel. He specializes in numerical analysis, focusing on the development and stability analysis of time integration schemes for differential equations. His work includes contributions to Modified Patankar-Runge-Kutta (MPRK) methods, positivity-preserving algorithms, and symbolic computation techniques like Pommaret bases for involutive Gröbner bases. Teaching: Courses on numerical methods for PDEs, ordinary differential equations, and mathematical modeling across multiple semesters, including block seminars on positivity-preserving integrators. Research: Investigates stability, convergence, and error analysis of numerical schemes, with applications to hyperbolic conservation laws, production-destruction systems, and biomathematics. Also contributes to computational physics through atomistic-continuum modeling of nanoparticle synthesis.

• Planetary Science
• Aeolian Geomorphology
• Mars Geology
• +۴ مورد دیگر

Elena Favaro is a Research Fellow at the European Space Agency (ESA), specializing in planetary science with a focus on aeolian geomorphology. She utilizes geographic information systems and high-resolution imagery to study landforms (yardangs, periodic bedrock ridges) and bedforms (megaripples, dunes, transverse aeolian ridges) on Earth and Mars, with current emphasis on Oxia Planum—the designated 2030 landing site for ESA's ExoMars Rosalind Franklin rover mission. Her research reconstructs Martian climatic history through analysis of aeolian features using remote sensing, 3D image analysis, and GIS. Key interests include landscape evolution, sediment transport processes, and wind dynamics, with specific focus on how yardangs, periodic bedrock ridges, and dust devils record past and present environmental conditions. Current work integrates deep learning for terrain classification to support mission planning at Oxia Planum. Recent publications reveal concentrated research on Oxia Planum, featuring high-resolution geological mapping, wind regime modeling, and classification of aeolian bedforms. Studies emphasize periodic bedrock ridges as paleowind indicators, secondary cratering for stratigraphic dating, and megaripple architecture for sediment transport analysis. This work provides critical context for rover operations by linking surface features to ancient climate conditions and contemporary aeolian processes.

• Collective Robotic Construction
• Swarm Robotics
• Soft Robotics
• +۴ مورد دیگر

Kirstin Petersen is an Associate Professor in the Department of Information Science at Cornell University's Bowers College of Computing and Information Science. She leads the Collective Embodied Intelligence Lab, focusing on collective robotic systems that exhibit emergent intelligent behaviors through local interactions. Her research interests center on collective robotic construction, swarm robotics, soft robotics, and human-robot interaction. Petersen's work explores how groups of simple robots can collaborate to build complex structures, with applications ranging from construction to agriculture. She investigates the principles of embodied intelligence, where the physical form and environment of robots contribute to their capabilities, reducing the need for complex centralized control. Her publication trends show a consistent focus on distributed robotic systems, with recent work expanding into agricultural robotics, human-drone interaction, and novel actuation methods using phase-changing materials. Her research bridges theoretical principles of collective behavior with practical implementations in soft and modular robotic systems. Petersen has advised numerous graduate students who have become prominent researchers in robotics, including Steven Ceron, Nialah Wilson-Small, and Jiahe Chen. Her lab has secured funding for projects related to swarm construction, agricultural monitoring, and soft robotic systems. She leads the Collective Embodied Intelligence Lab at Cornell, which brings together researchers from computer science, mechanical engineering, and biology to develop novel approaches to collective robotic systems. The lab emphasizes both theoretical foundations and practical implementations, with projects ranging from tiny modular robots to agricultural drones.

• Computer Science Education
• Programming Language Education
• Interactive Learning Systems
• +۲ مورد دیگر

David Ranum is a computer science educator known for his significant contributions to programming language education, particularly focusing on Python as a teaching language. His work centers around developing innovative curriculum structures and interactive learning materials for introductory computer science courses. His research interests span computer science education, programming language pedagogy, and the development of interactive learning systems. Ranum has pioneered approaches to teaching introductory programming that emphasize student success through carefully structured curriculum sequences and the strategic use of Python as a first programming language. Analysis of his publication history reveals a consistent focus on improving computer science education through practical, classroom-tested approaches. His work on interactive learning platforms, particularly the Runestone interactive system, demonstrates his commitment to moving beyond traditional textbook formats to create more engaging educational experiences. Ranum has been active in major computer science education venues including SIGCSE and the Journal of Computing Sciences in Colleges, where he has presented numerous papers on curriculum design and programming language education.

• Computer Science Education
• Curriculum Design
• Liberal Arts Integration
• +۳ مورد دیگر

Amanda M. Holland-Minkley is a Professor at Cornell University, USA, with a focus on computer science education and curriculum design. Her work emphasizes integrating liberal arts principles into computing programs and developing identity-focused pedagogical frameworks. Education: PhD in Computer Science from Cornell University (2004) Her research interests include curriculum innovation, interdisciplinary teaching, and aligning liberal arts values with computing education. She has co-authored numerous publications in journals like J. Comput. Sci. Coll. and conferences such as SIGCSE, often collaborating with peers like Jakob Barnard and Grant Braught. Recent articles highlight her contributions to creating distinctive computing curricula for liberal arts institutions, using structured design processes, and redefining program-level outcomes. She has no listed scientific awards or student advisement records in the provided data.

Alexander Weißeمشاهده پروفایل

پژوهشگر

• Condensed Matter Physics
• Mathematical Physics
• Integrable Systems
• +۴ مورد دیگر

Alexander Weiße is a tenured researcher at the Max Planck Institute for Mathematics in Bonn, Germany, where he also serves as Head of IT. Previously, he was a junior professor for computational physics at the University of Greifswald (until 2009). He holds a PhD in physics from the University of Bayreuth (2002) and completed postdoctoral research at the Max Planck Institute for the Physics of Complex Systems, University of New South Wales (Sydney), and University of Greifswald. Research Interests : His work spans condensed matter physics, mathematical physics, and integrable systems. Recent focuses include spin systems (e.g., XXZ Heisenberg chain), disorder/randomness in quantum systems, and computational methods (e.g., Chebyshev expansion, kernel polynomial method). He also contributes to high-performance computing and programming tools (C, Form, Julia). Teaching & Leadership : He has taught courses on computational physics, group theory, numerical many-particle physics, and computer algebra. Notable collaborations involve the Bergische Universität Wuppertal group on spin model correlation functions. He co-edited the textbook Computational Many-Particle Physics (Springer, 2008). IT Responsibilities : As Head of IT, he manages IT infrastructure security and strategy, with interests in cybersecurity and computational resource optimization.

• Computational Materials Science
• Energy Storage Materials
• Solid-State Batteries
• +۴ مورد دیگر

Dr. Yang Bai is a Project Group Leader at the Max Planck Institute for Sustainable Materials, leading the Computational Energy Storage Materials and Computational Sustainable Metallurgy groups within the Department of Microstructure Physics and Alloy Design. His research focuses on computational modeling of energy materials, solid-state batteries, and sustainable metallurgical processes, emphasizing chemo-mechanical interactions and phase-field simulations. Key projects include analyzing silicon anode degradation in solid-state batteries and hydrogen-based reduction of iron oxides. He contributes to interdisciplinary approaches combining materials science, electrochemistry, and multi-physics modeling to advance sustainable technologies. Publications highlight trends in solid-state battery interfaces, phase-field modeling of material transformations, and porous structure analysis. His work bridges computational methods with experimental validation, addressing challenges in energy storage and metallurgical efficiency. Active collaborations and contributions to ontology-based workflows for steel industries underscore his commitment to industrial application of advanced materials science.

Florian Seitzمشاهده پروفایل

استاد

• Satellite Geodesy
• Earth System Dynamics
• Geodetic Reference Systems
• +۷ مورد دیگر

Prof. Dr. Florian Seitz is Full Professor of Geodetic Geodynamics at the Technical University of Munich (TUM) and Director of the German Geodetic Research Institute (DGFI-TUM). His research focuses on satellite geodesy applications for Earth system monitoring, with particular expertise in geodetic reference frames, sea level changes, and ocean dynamics. He leads international efforts in Earth observation through multiple space agency collaborations. Seitz earned his doctorate at TUM in 2004 with research on atmospheric and oceanic influences on Earth rotation, completed his Habilitation in 2011 on 'Geodetic Contributions to Earth System Research,' and served as junior professor of Earth Oriented Space Science and Technology (ESPACE) from 2007-2012. His career includes a research fellowship at NASA's Jet Propulsion Laboratory in 2006. His primary research interests encompass the exploration of dynamic processes in the Earth system using satellite geodesy, with specific focus on realizing global and regional geodetic reference systems, studying geodynamics, and analyzing sea level changes and ocean currents through satellite altimetry. His work bridges geodesy, oceanography, and climate science to understand Earth system interactions. Analysis of Seitz's recent publications reveals strong emphasis on satellite altimetry applications across three main domains: Arctic ocean monitoring (particularly Chukchi Sea circulation), coastal sea level variability (including vertical land motion effects), and river discharge estimation (using innovative DAHITI database approach). His research demonstrates consistent advancement in processing techniques for challenging environments like sea ice zones and coastal regions. Chair of ESA Genesis ITRF and Combination of Techniques Working Group (2024-present) Immediate Past President of IAU Commission A2 on Rotation of the Earth (2021-2024) President of IAU Commission A2 on Rotation of the Earth (2018-2021) Deputy Speaker of Forschungsgruppe Satellitengeodäsie (2016-present) Chair of TUM Examination Board Geodesy (2018-present) As Director of DGFI-TUM, Seitz oversees a major institution contributing to international reference systems. His team develops advanced algorithms for satellite data processing, maintains the DAHITI database for global river monitoring, and contributes to the DTRF series of terrestrial reference frames. Current research priorities include improving Arctic ocean monitoring with new satellite missions (SWOT, Sentinel-6), developing better coastal sea level models, and advancing techniques for measuring river discharge in ungauged basins.