جستجوی استاد راهنمای دانشگاهی

• Astrophysics
• Astronomy
• Galaxy Formation
• +۱ مورد دیگر

Guinevere Kauffmann serves as Director of the Max Planck Institute for Astrophysics (MPA) in Garching, Germany, a position she has held since 2013 after leading a research group there from 2003. Her career includes a Miller Fellowship at UC Berkeley and postdoctoral research at the Max Planck Institute for Extraterrestrial Physics and UC Santa Barbara's Institute for Theoretical Physics. Her educational background includes: M.Sc. in Astronomy, University of Cape Town (1990) Ph.D. in Astronomy, University of Cambridge (1993) Prof. Kauffmann's research centers on theoretical astrophysics , with pioneering work in galaxy formation modeling and cosmological simulations . She develops computational frameworks connecting dark matter structures to observable galaxy properties, significantly advancing our understanding of galactic evolution through semi-analytic techniques and large-scale numerical simulations. Her scientific recognition includes: Miller Fellowship, University of California, Berkeley (1993-1994) As an MPA Director, Prof. Kauffmann oversees one of astrophysics' premier research institutions with stable Max Planck Society funding, enabling long-term theoretical projects. While specific student counts aren't documented, she participates in the International Max Planck Research School for Astrophysics, supervising doctoral candidates through LMU Munich's graduate program. Her leadership drives collaborative research across computational astrophysics, leveraging MPA's high-performance computing infrastructure for international consortia. Prof. Kauffmann operates within MPA's specialized research ecosystem, which focuses exclusively on theoretical and computational astrophysics without university teaching obligations, maintaining close ties with Ludwig-Maximilians-Universität München for graduate education.

Andreas Sauerمشاهده پروفایل

استاد

• Applied Mathematics
• Mathematical Modeling
• Numerical Analysis
• +۳ مورد دیگر

Andreas Sauer serves as a Professor within the Institute of Natural Sciences at Ruhr West University of Applied Sciences, specializing in Applied Mathematics. His academic role focuses on teaching mathematical methodologies critical for natural science and engineering disciplines, with office hours available by appointment for student consultations. Research interests span core areas of Applied Mathematics, emphasizing practical problem-solving frameworks: Development of mathematical models for physical systems Numerical analysis of differential equations Optimization techniques in engineering contexts High-performance scientific computing implementations Computational fluid dynamics applications Stochastic modeling approaches Direct communication is facilitated via email (andreas.sauer@hs-ruhrwest.de) or telephone (+49 208 88254-427), supporting academic engagement within the university's technical education framework.

Michael J. Hartmannمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Information
• Theoretical Physics
• +۱ مورد دیگر

Michael J. Hartmann serves as Professor and chair holder of the Chair for Theoretical Physics II at Friedrich-Alexander University Erlangen-Nuremberg (FAU) since 2019, actively contributing to the FAU LMQ research group focused on quantum science and technology. His research centers on quantum computing and quantum information, leveraging theoretical physics to advance quantum technologies. Recent work intersects with high-performance computing, exemplified by his February 2025 publication in Nature Partner Journal Quantum Information exploring quantum computing applications. This aligns with FAU's broader initiatives in quantum encryption and national high-performance computing infrastructure. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: No specific student advisees or grant details were provided, though his involvement in quantum computing initiatives suggests collaborative research funding. The August 2022 consortium funding (3 million euros from Bavaria) relates to Erlangen quantum research but lacks explicit attribution to Hartmann. Labs and Teams: Hartmann is a core member of FAU LMQ, participating in quantum information research and the university's quantum computing ecosystem including collaborations with NHR@FAU (Center for National High-Performance Computing).

• formal methods for security
• programming languages
• design and verification of security-critical systems
• +۱۱ مورد دیگر

Cătălin Hrițcu is a tenured faculty member and head of the Formally Verified Security group at the Max Planck Institute for Security and Privacy (MPI-SP) in Bochum, Germany. He also serves as Adjunct Professor in the Faculty of Computer Science at Ruhr University Bochum (RUB), where he is affiliated with HGI and the CASA Cluster of Excellence. His educational background includes: PhD from Saarland University in Saarbrücken, Germany Habilitation from ENS Paris Hrițcu's research focuses on developing rigorous formal techniques for security. His primary interests span three interconnected areas: Formal methods for security: secure compilation, compartmentalization, memory safety, speculative execution defenses, information flow control, and security protocols Programming-languages techniques: program verification, machine-checked proofs, dependent types, formal semantics, and property-based testing Design and verification of security-critical systems: compilation chains, reference monitors, tagged hardware architectures, and high-assurance cryptography His recent publications reveal a strong trajectory toward addressing real-world security challenges through formal methods, with increasing emphasis on hardware security aspects like speculative execution vulnerabilities and memory safety. Hrițcu has received significant scientific recognition: ERC Starting Grant on formally secure compilation Distinguished Paper Award at CSF 2025 for FSLH: Flexible Mechanized Speculative Load Hardening Distinguished Paper Award at CSF 2021 for SSProve As an advisor, Hrițcu has mentored numerous PhD students and postdoctoral researchers who have gone on to successful academic careers. His group receives substantial funding through projects like ERC SECOMP. He has co-authored volumes of the Software Foundations textbook series and actively teaches courses at RUB. Hrițcu leads the Formally Verified Security research group at MPI-SP, which includes PhD students, postdocs, and research interns working on cutting-edge problems at the intersection of programming languages and security. The group has made significant contributions to verification tools including F* and Coq, with applications in secure compilation and cryptographic verification.

Manuel Behrendtمشاهده پروفایل

پژوهشگر ارشد

• Astrophysics
• Computational Astrophysics
• Galaxy Formation and Evolution
• +۳ مورد دیگر

Dr. Manuel Behrendt is a Research Fellow at the Ludwig-Maximilians-Universität München, where he serves as a staff scientist at the University Observatory in the CAST-group led by Prof. Andreas Burkert. He also holds a position with the Physics of Galactic Nuclei (PGN) group at the Max-Planck-Institute for Extraterrestrial Physics in Garching, Bavaria. His primary research focuses on the structure-formation and evolution of galactic discs in the early universe, utilizing high-resolution hydrodynamic simulations within the framework of gravitational disc instability. Dr. Behrendt's work addresses fundamental questions about: The formation and evolution mechanisms of giant clumps and small-scale structures in high-redshift galaxies The hierarchical organization of clumps, including whether observed kpc-scale clumps are composed of sub-clump clusters The role of stellar feedback in shaping galactic structure formation and kinematics The energetic sources driving high random motions observed in young galaxies A significant contribution to the field is his development of MERA.jl, a high-performance Julia package designed for analyzing large-scale astrophysical simulation data. This tool provides: Efficient numerical performance through Julia's JIT compilation Unified API for handling multi-resolution AMR grids and particle datasets Interactive development capabilities that scale from notebooks to production scripts Memory-conscious design for processing large datasets Multi-threaded I/O operations for improved performance Dr. Behrendt's publication record demonstrates a consistent research trajectory focused on galaxy formation processes, particularly examining clump structures in high-redshift galaxies. His work bridges theoretical astrophysics with practical computational methods, making important contributions both to our understanding of galaxy evolution and to the development of advanced analysis tools for the broader astrophysics community. As an educator, Dr. Behrendt actively supervises students, teaches tutorials and astrophysical laboratory courses, and serves as a substitute lecturer for Prof. Burkert's courses. His dual commitment to research excellence and educational mentorship highlights his comprehensive contribution to the academic community.

• 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.

Dirk Roosمشاهده پروفایل

استاد

• Machine Learning
• Robust Design Optimization
• Stochastic Analysis
• +۱۰ مورد دیگر

Prof. Dr.-Ing. Dirk Roos is a Professor for Computersimulation und Design Optimization at the Department of Mechanical Engineering and Process Engineering, Niederrhein University of Applied Sciences, where he has served since March 2011. He is also the Head of the Institute for Modeling and High Performance Computing (IMH) since December 2016. His academic career includes previous positions as Head of Robust Design Optimization at DYNARDO Dynamic Software and Engineering GmbH (2002-2011) and Technical Solutions Specialist at CADFEM GmbH (2000-2008). Prof. Roos specializes in machine learning, robust design optimization, stochastic analysis, and probabilistic modeling for virtual product development. His research focuses on developing mathematical methods for stochastic structural and fluid simulation, robustness and reliability analysis, multidisciplinary optimization, and software development for complex system development. He has established strong collaborations with academic institutions including RWTH Aachen, Ruhr-Universität Bochum, and industrial partners like Siemens AG and Robert Bosch GmbH. His recent work explores Probabilistic Intelligence, cyber-physical systems, digital twins, and Big Data Analysis, with applications spanning power plant flexibility, renewable energy, turbomachinery, automotive, aerospace, and medical technology. Prof. Roos has successfully secured numerous third-party funded research projects totaling over 1.8 million euros, including collaborations with Siemens AG, Robert Bosch GmbH, and various universities. optiSLang Award 2012 Weimar Optimization and Stochastic Days Gutachter BMBF im Programm FH-Kooperativ since 2019 Mitglied des Scientific Committee International Probabilistic Workshop since 2017 Mitgliedschaft im Graduierteninstitut für angewandte Forschung der Fachhochschule in NRW since 2017 Prof. Roos supervises multiple doctoral students and has successfully completed several cooperative PhD projects. His current research projects include AI-driven optimization for medical care, reinforcement learning for emergency room planning, and machine learning algorithms for power plant component lifetime prediction. The Institute for Modeling and High Performance Computing (IMH) under his leadership develops mathematical methods and software competence in machine learning and CAE-based robust design optimization for virtual product development.

Fabian Schönfeldمشاهده پروفایل

پژوهشگر ارشد

• Theoretical neuroscience
• Computational neuroscience
• Machine learning
• +۵ مورد دیگر

Dr. Fabian Schönfeld is a postdoctoral researcher at the Institute of Neural Computation (INI), which is part of the Faculty of Computer Science at Ruhr-Universität Bochum. He works in the Theory of Neural Systems group, focusing on computational modeling of the hippocampus using Slow Feature Analysis and other machine learning techniques. His educational background includes: Diploma in Computer Science from FAU Erlangen (2004-2009) PhD in Neuroscience from the International Graduate School of Neuroscience (2010-2016) Dr. Schönfeld's research primarily focuses on theoretical neuroscience, particularly on modeling the hippocampus and spatial cognition. His work combines computational approaches with neuroscience to understand how the brain processes spatial information. He has extensively used Slow Feature Analysis to model place cell behavior in the rat hippocampus, arguing for its feasibility as a fundamental principle of cognitive data processing. His research interests also extend to deep learning, artificial intelligence, and the intersection of these fields with neuroscience. His publications demonstrate a consistent focus on hippocampal function and spatial representation, with an increasing sophistication in modeling approaches over time. The research shows how computational models can help understand neural mechanisms of spatial representation, navigation, and memory formation, with applications in both neuroscience and artificial intelligence. Dr. Schönfeld has supervised several bachelor's theses on topics related to robot navigation using Slow Feature Analysis and has taught courses on Scientific Computing with Python. His academic service includes: Supervising bachelor's theses (2012-2013) Teaching Scientific Computing with Python (2015-2017) Tutoring high school students in mathematics and physics (2007-2010)

Alexander Kollingمشاهده پروفایل

پژوهشگر

• Adult Education
• High Performance Computing
• Computational Science
• +۲ مورد دیگر

Alexander Kolling is a Researcher at Helmut Schmidt University, affiliated with the Continuing Education and Lifelong Learning department since May 2023. He serves as a research associate at both the Chair of Continuing Education and Lifelong Learning and the Chair of High Performance Computing, focusing on developing the HPC Portal digital competency platform for the dtec.bw-funded hpc.bw project. His research centers on Adult Education, High Performance Computing, and Transdisciplinary Research, specifically examining intersections between computational science and adult education. He investigates theoretical characteristics of these disciplines to identify potential and challenges in transdisciplinary arrangements, aiming to foster innovative approaches in educational and scientific practices. Analysis of his 2023-2025 publications reveals a consistent focus on integrating HPC with humanities, social sciences, and mechanical engineering. His work emphasizes skill acquisition frameworks, competence platform development, and evaluation of performance engineering projects, highlighting critical interdisciplinary collaboration needs in computational science education. Kolling actively contributes to the hpc.bw project under dtec.bw, where he develops digital infrastructure and content for the HPC Portal. This initiative bridges computational science with continuing education, addressing competency gaps in supercomputing across diverse academic disciplines.

Marie Rathmannمشاهده پروفایل

پژوهشگر

• Adult Education
• Digital Transformation
• Higher Education
• +۴ مورد دیگر

Marie Rathmann is a Researcher and doctoral candidate at Helmut Schmidt University's Chair of Continuing Education and Lifelong Learning in Hamburg, Germany. She actively contributes to two major dtec.bw-funded research initiatives: DigiTaKS* (Digital Key Competencies for Study and Career) and hpc.bw (Competence Platform for Software Efficiency and Supercomputing) at the Chair of High Performance Computing. Her work bridges digital transformation with adult education theory, focusing on practical implementations in academic and professional contexts. Rathmann's research investigates how digitality reshapes time, space, and media appropriation in everyday educational practices. She develops theoretical frameworks around agency constitution in digital environments while examining transformative digital competencies, critical thinking development, and ethical implications of artificial intelligence in education. Her methodology combines practice theory with multi-perspective analyses to address equity challenges in digitally mediated learning spaces, particularly emphasizing student experiences in higher education settings. Her publication portfolio (2021-2025) reveals consistent exploration of digital competencies across educational contexts, with recurring themes including temporal dimensions of academic work, media appropriation patterns, and AI ethics in student practices. The research demonstrates strong interdisciplinary connections between educational theory, digital sociology, and learning technology design, often employing comparative and multi-level analytical approaches. Scientific Awards: First place for doctoral project at DGfE Summer School for Qualification Projects awarded by German Society for Educational Science (DGfE) Rathmann's research is supported by competitive dtec.bw grants funding the DigiTaKS* and hpc.bw projects. While currently completing her doctoral studies, she collaborates extensively with senior researchers but has not yet assumed formal student advising responsibilities. Her grant work focuses on developing practical frameworks for digital competency acquisition in academic and professional transitions. She operates within Prof. Dr. Sabine Schmidt-Lauff's research team at the Chair of Continuing Education and Lifelong Learning, maintaining close collaboration with Dr. Therese Rosemann and Dr. Jan Schiller. This interdisciplinary unit specializes in analyzing digital transformation impacts on educational structures, with particular expertise in document analysis, competency modeling, and policy development for adult learning ecosystems.