جست‌وجوی استاد و پژوهشگر

Anne Foersterمشاهده پروفایل

پژوهشگر

• Medieval History
• Women's and Gender History
• Queenship Studies
• +۵ مورد دیگر

Anne Foerster is a Scientific Associate specializing in Medieval History at the University of Paderborn, Faculty of Cultural Studies, within the Historical Institute's Medieval History I department. She has been in this position since 2017, following previous research roles at the University of Kassel (2014-2017) and the International Max-Planck-Research-School for European Legal History in Frankfurt (2012-2014). Her educational background includes studies in Medieval History, Sociology, and Historical Auxiliary Sciences at the Albert-Ludwigs-Universität Freiburg (2004-2010), with an ERASMUS year at Trinity College Dublin (2007-2008). She has held various teaching positions including as a lecturer at the Institute for the Education of International Students in Freiburg (2011-2013). Dr. Foerster's research focuses on power structures in the Early and High Middle Ages, with particular emphasis on gender and authority, queenship, women's and gender history, and medieval historiography. Her current major project examines the legitimation of conquests in the Frankish and East Frankish-German Empires between approximately 500 and 1150, challenging previous scholarly assumptions about medieval justifications for military expansion. She analyzes how medieval authors employed concepts of just war, barbarian warfare, religious war, and holy war to legitimize conquests, despite the expectation that medieval rulers prove themselves in battle. Her publications reveal consistent themes exploring the intersection of gender and political power, particularly examining female regents, widowed queens, and the anxieties surrounding female rule. She has examined how female regents were evaluated in contemporary sources, particularly focusing on concerns about remarriage and potential loss of political control. Her work spans from early Anglo-Saxon England to high medieval continental Europe, with comparative studies including the Kingdom of Jerusalem. Since October 1, 2024: Member of DFG Network on Political Elites in Contexts of Rule and Religious Change: Transcultural Perspectives (ca. 500-1600) Since February 1, 2016: Member of Mediävistenverband (German Medieval Studies Association) Dr. Foerster maintains an active research agenda with multiple forthcoming publications examining medieval warfare, historical writing, and gender dynamics. Her work bridges traditional political history with gender studies and source criticism, offering fresh perspectives on medieval power structures and their representation in historical texts.

Willi Freedenمشاهده پروفایل

استاد

• Special functions of mathematical (geo)physics
• Partial differential equations
• Constructive approximation
• +۹ مورد دیگر

Prof. Dr. Willi Freeden is a renowned academic in mathematical geodesy and geophysics, affiliated with the University of Kaiserslautern's Faculty of Mathematics. He has held professorships since 1984 and transitioned to emeritus status in 2015. His research focuses on special functions, partial differential equations, and inverse problems with applications in geophysics and geothermal energy. Freeden has advised over 30 PhD students and authored/co-authored numerous books and papers. Educational Background: 1971: Diplom in Mathematics 1972: Staatsexamen 1975: PhD, RWTH Aachen 1979: Habilitation, RWTH Aachen Research Interests: His work bridges mathematics and geosciences, emphasizing constructive approximation methods (wavelets, splines), numerical geophysics, and satellite-based geodetic data analysis. Key areas include gravimetry, magnetometry, and geothermal resource modeling. Recent advancements include mollifier regularization and decorrelation techniques for geophysical data. Publications & Grants: Authored/co-authored 23 books and over 150 papers. Notable works include Metaharmonic Lattice Point Theory (2011) and Geomathematically Oriented Potential Theory (2013). Awarded the 2018 IPMS Award and 2020 Vening Meinesz Medal. Advising: Supervised 30+ PhD students (e.g., V. Michel on gravimetry, M. Schreiner on wavelet methods, I. Ostermann on geothermal modeling). Labs & Teams: Leads the Geomathematics Group at Kaiserslautern, collaborating on projects like satellite gravity gradiometry and geothermal reservoir modeling. Active in interdisciplinary initiatives such as the Handbuch Tiefe Geothermie (2014).

Melanie Birkeمشاهده پروفایل

استاد

• Nonparametric Statistics
• Functional Data Analysis
• Inverse Problems
• +۳ مورد دیگر

Prof. Dr. Melanie Birke is a faculty member at the University of Bayreuth , holding the Professorship for Mathematical Statistics within the Faculty of Mathematics, Physics and Computer Science . Her research spans multiple areas of statistics, including nonparametric methods, functional data analysis, inverse problems, goodness-of-fit tests, and random matrices. Women's Representative of the Mathematical Institute DAV Correspondent for actuarial training exemptions Research Interests are focused on nonparametric statistics, functional data, and inverse problems. She develops asymptotic theory for estimation and testing procedures, particularly in high-dimensional or infinite-dimensional spaces, with applications to real-world issues like image distortion and data collection errors. Her work also includes constructing goodness-of-fit tests for regression models and functional data, ensuring robust statistical analysis. Publications highlight her contributions to quantile regression, symmetry testing in inverse problems, and shape-constrained density estimation. A recurring theme involves improving statistical consistency by addressing model misspecification through advanced nonparametric techniques. Statistical Consulting is offered to both internal and external stakeholders, emphasizing methodological guidance during experimental design to prevent data inconsistencies. She also supervises Bachelor's and Master's theses in nonparametric statistics and financial mathematics.

Melina Freitagمشاهده پروفایل

استاد

• Numerical Linear Algebra
• Data Assimilation
• Inverse Problems
• +۶ مورد دیگر

Melina Freitag is Professor for Data Assimilation at the Institute for Mathematics, University of Potsdam. Her research spans numerical linear algebra, inverse problems, and model order reduction, with applications in geophysics, image processing, and machine learning. She leads the Data Assimilation Group and contributes to the SFB 1294 Collaborative Research Center. Education : Prof. Freitag earned her Diplom in Mathematics at TU Chemnitz (2004) and PhD in Mathematical Sciences from University of Bath (2007). Research Themes : Her work focuses on Krylov subspace methods, low-rank approximations, and preconditioning for large-scale systems. She bridges classical numerical analysis with modern data assimilation, addressing challenges in: Bayesian inverse problems with unstable systems Optimized spectral sampling in X-ray imaging Physics-informed neural networks for Navier-Stokes inversion Parameter-dependent eigenvalue analysis Collaborations & Grants : She collaborates with institutions like KTH Stockholm and Arizona State University. Her group secures funding through SFB 1294 and participates in INI Cambridge networks. Leadership : Co-Chair of GAMM Activity Group on Applied Numerical Linear Algebra SIAM Activity Group on Linear Algebra Chair (2022) Teaching : Delivers courses on numerical optimization, matrix methods in data science, and inverse problems, integrating computational theory with real-world applications.

Tobias Schwinnمشاهده پروفایل

پژوهشگر

• Agent-based modeling
• Robotic fabrication
• Segmented shell structures
• +۴ مورد دیگر

Tobias Schwinn is a Senior Researcher at the Institute for Computational Design and Construction (ICD) at the University of Stuttgart, Germany. His work focuses on integrating agent-based modeling , robotic fabrication , and computational design for segmented shell structures and timber architecture . He leads the ICD's 'Agent-Based Modeling and Simulation' research group and manages the institute's robotic fabrication infrastructure. PhD in Architecture (2021) from University of Stuttgart Diploma in Architecture from Bauhaus-University Weimar and University of Pennsylvania His research explores behavior-driven design , cyber-physical systems , and distributed robotic construction , with projects like the Landesgartenschau Exhibition Hall (first robotically fabricated segmented timber shell) and HygroSkin Pavilion . Publications examine topics in timber morphologies , fibrous joints , and design-materialization feedback . Teaching activities include Behavioral Design seminars, Computational Design Techniques , and Digital Fabrication workshops. He has lectured internationally at institutions including Columbia GSAPP, Harvard GSD, and University of Sydney, and served on scientific review committees for Fabricate, ACADIA, and Advances in Architectural Geometry conferences.

Alexander Prechtelمشاهده پروفایل

پژوهشگر

• Mathematics in Geosciences
• Soil Structure Formation
• Reactive Transport Modeling
• +۷ مورد دیگر

Dr. Alexander Prechtel is an Academic Councillor at the Chair of Applied Mathematics I at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has been working since 2005. He serves as the representative of academic mid-level staff in the Department of Mathematics since 2010 and previously worked as the new construction officer for the department from 2008-2012. His research focuses on mathematical modeling in geosciences, particularly soil structure formation, reactive transport in porous media, and natural attenuation processes. Prechtel earned his Dipl.-Math. from the University of Bayreuth in 1997 with a minor in Geoecology focusing on hydrology, followed by a DEA in Hydrology and Geochemistry from École Nationale Supérieure des Mines de Paris in 1998. He completed his Dr. rer. nat. in Mathematics at FAU in 2005 under Prof. Dr. P. Knabner with a dissertation on hydrogeochemical multicomponent transport problems. His research interests span mathematics in geosciences and natural sciences, with specific focus on structure formation in soils, modeling and simulation of reactive mass transport in porous media, evaluation of natural self-cleaning power of soils, and efficient solution methods for hydrogeochemical multicomponent models. Recent work has concentrated on soil microaggregates, particularly in the rhizosphere, and the carbon turnover processes associated with soil structure dynamics. He has made significant contributions to developing mechanistic models that explicitly represent pore structures derived from CT scans to study self-organization of soil aggregates. His publication record shows a clear progression toward increasingly sophisticated multiscale modeling approaches, with recent papers focusing on pore-scale interactions between roots, soil structure, and carbon dynamics. The research demonstrates how exudates like mucilage play a crucial role in soil structure formation in the rhizosphere, with persistent stabilization effects even after the exudates themselves have decomposed. Prechtel has successfully secured substantial research funding, with third-party funding volume as PI/Co-PI since 2015 totaling approximately 1.176 million euros. He has supervised numerous Bachelor's, Master's, and Diplom theses across mathematics, technomathematics, and Integrated Life Sciences programs. His teaching portfolio includes courses on differential equation models, metabolic networks, and groundwater modeling. As a reviewer, he serves for the Agence Nationale de Recherche in France and the Deutsche Forschungsgemeinschaft (DFG), and contributes to multiple prestigious journals including BioSystems, Environmental Science & Technology, Geoderma, and Water Resources Research.

• Combinatorial optimization
• Graph theory
• Discrete mathematics
• +۳ مورد دیگر

Cédric Picouleau is a Professor affiliated with the CEDRIC Laboratory at the Conservatoire National des Arts et Métiers (CNAM) in Paris. His research focuses on combinatorial optimization, graph theory, discrete tomography and scheduling, with sustained publication activity from 1994 through 2025. Education: Specific degrees and graduation years are not listed in the available sources. Research interests: Professor Picouleau’s work spans theoretical and applied aspects of graph theory (dominating sets, matchings, graph partitioning, Hamiltonian cycles), discrete tomography (reconstruction of binary matrices and polyominoes), combinatorial optimization (blockers & transversals, degree-constrained problems), and transportation modelling (railway delay prediction). He investigates complexity classifications, designs exact and parameterized algorithms, and studies minimal or extremal graph structures. Publication trends: Recent articles (2018-2025) concentrate on matching-cut and dominating-set complexity, diameter-constrained graph modifications, minimal graph constructions for Hamiltonian & 2-factor extensions, and statistical modelling of train delays. His output appears in journals such as Journal of Graph Theory , Theoretical Computer Science , Discrete Applied Mathematics , and Annals of Operations Research . Scientific awards: No awards, fellowships or honours are mentioned in the supplied material. Students & grants: No list of supervised PhD/Master’s students or specific grant details are provided in the sources. Labs & teams: He is a member of the CEDRIC Laboratory within CNAM, participating in the “Combinatorial Optimization” research axis and regularly collaborates with co-authors from CNAM and other French and international institutions.

Shay Solomonمشاهده پروفایل

دانشیار

• Design and analysis of algorithms
• Graph compression problems
• Dynamic graph algorithms
• +۴ مورد دیگر

Shay Solomon is an Associate Professor in the School of Electrical & Computer Engineering at Tel Aviv University. His research focuses on theoretical computer science, particularly in the design and analysis of algorithms for graph problems, distributed systems, and computational geometry. He coordinates the EE-Systems Department Colloquium and has received funding from prestigious organizations including the European Research Council (ERC), the Israel Science Foundation (ISF), and the US-Israel Binational Science Foundation (NSF-BSF). Professor Solomon's research interests span several key areas in theoretical computer science. He has made significant contributions to dynamic graph algorithms, developing novel techniques for problems like set cover and graph coloring. His work on Euclidean spanners and metric embeddings has advanced our understanding of geometric data structures. In distributed computing, he has explored locality-sensitive approaches to network representation. His research on sublinear algorithms addresses fundamental questions about what can be computed efficiently with limited resources. Across all these areas, his work is characterized by mathematical rigor and practical significance for algorithm design. Analysis of Professor Solomon's recent publications (2023-2025) reveals a strong focus on advancing the state-of-the-art in graph algorithms. His work frequently appears in top theoretical computer science venues including STOC, FOCS, and SODA. A notable trend is his exploration of dynamic algorithms that can efficiently update solutions as input changes, with applications to set cover and graph coloring problems. He has also made significant contributions to the theory of graph spanners in Euclidean and metric spaces, establishing new bounds and constructions. His collaborative work with researchers like Hung Le and Sayan Bhattacharya demonstrates the interdisciplinary nature of modern theoretical computer science research. Professor Solomon acknowledges support from several prestigious funding sources: European Research Council (ERC) Israel Science Foundation (ISF) US-Israel Binational Science Foundation (NSF-BSF) As the coordinator of the EE-Systems Department Colloquium, Professor Solomon plays an active role in academic community building at Tel Aviv University. While specific information about his advisees isn't provided in the source material, his research group likely includes graduate students working on theoretical computer science problems. His extensive publication record suggests an active research program with numerous collaborations across the global theoretical computer science community.

Thomas Rauscherمشاهده پروفایل

استاد

• Engineering Mathematics
• Construction Informatics
• Numerical Methods in Civil Engineering
• +۳ مورد دیگر

Prof. Dr.-Ing. Thomas Rauscher is a Professor in the Department of Engineering Mathematics and Construction Informatics at Bremen University of Applied Sciences. He serves as speaker of the committee for the Fachbereichstag Bau- und Umweltingenieurwesen (FBT-BaU), representing 44 civil and environmental engineering faculties across German universities of applied sciences with approximately 900 professors and 47,000 students. His work focuses on integrating mathematical and computational methods into civil engineering education through module-structured, problem-oriented teaching approaches. His research spans construction informatics—an interdisciplinary field examining construction information's nature, functionality, and data representation—with emphasis on visualization, calculation, and simulation systems. Key focus areas include: Engineering Mathematics Construction Informatics Numerical Methods in Civil Engineering Building Information Modeling (BIM) Computer-Aided Design (CAD) Civil Engineering Software Prof. Rauscher pioneered a virtual computer pool enabling location- and time-independent access to construction software for students and faculty. He teaches core courses including Engineering Mathematics and Construction Informatics (IMBI), Numerical Methods in Civil Engineering (NUMB), and Experiment, Model and Simulation (EMSI), covering linear algebra, differential equations, finite element methods, and technical infrastructure simulation.

Kevin Buchinمشاهده پروفایل

استاد

• algorithm engineering
• computational geometry
• spatial networks
• +۲ مورد دیگر

Kevin Buchin is a Professor at the Department of Computer Science, Faculty of Computer Science at Technical University of Dortmund, where he leads Chair 11: Algorithm Engineering. His work focuses on bridging theoretical and experimental algorithm development, particularly in computational geometry and spatial data analysis. Professor Buchin's research spans several key areas in algorithm engineering, with particular expertise in computational geometry, spatial networks, algorithms for GIS (Geographic Information Systems), and motion planning algorithms. His work combines theoretical foundations with practical applications, developing algorithms that address real-world challenges in spatial data processing and analysis. He has made significant contributions to trajectory analysis, geometric spanners, Fréchet distance computations, and map construction algorithms. His research often involves interdisciplinary collaborations that connect computer science with geographic applications and movement data analysis. An analysis of Professor Buchin's recent publications reveals a strong focus on trajectory analysis and spatial network algorithms. His work consistently addresses fundamental problems in computational geometry while developing practical solutions for real-world applications. Key trends include advancements in Fréchet distance computations, trajectory clustering techniques, geometric spanner constructions, and map-matching algorithms. His research demonstrates a balanced approach between theoretical algorithm development and practical implementation, often resulting in benchmark suites and publicly available code to support reproducibility and further research. Professor Buchin actively supervises student research projects and theses. For Bachelor's theses, he requires successful completion of "Effiziente Algorithmen (EA)" and DAP2 courses, while Master's thesis students should have completed "Algorithmen und Datenstrukturen (AuD)" and ideally specialized courses and seminars in algorithms/algorithm engineering. His group offers final projects in algorithm engineering, geometric algorithms, geometric graphs, networks, GIS algorithms, and motion planning. He has supervised numerous Master's theses, with examples of completed projects available on his group's website. The Algorithm Engineering research group led by Professor Buchin includes Mart Hagedoorn (MSc), Antonia Kalb (MSc), Dr. Guangping Li, Aleksandr Popov (external, MSc), Dr. Carolin Rehs, and student assistants Jan Erik Swiadek and Torben Scheele. The group develops tools like the "Ruler of the Plane" game that illustrates geometric problems and algorithms, which is also available online. They maintain repositories containing game sources, art, and documentation for extending the games, including the "dots & polygons" game and new levels for the art gallery game. The group also produces educational videos illustrating research results, particularly in trajectory analysis, and offers a Coursera course on geometric algorithms.

• Computational Geometry
• Algorithms
• Trajectory Analysis
• +۴ مورد دیگر

Prof. Maike Buchin is a Professor of Computer Science at Ruhr-University Bochum, leading the Theoretical Computer Science/Algorithmics department. She serves as Studiendekanin (Dean of Studies) for Computer Science. Her academic journey includes roles as Visiting Professor at TU Dortmund (2017-2019), Junior Professor at Ruhr-University Bochum (2013-2017), and Assistant Professor at TU Eindhoven (2011-2013). She holds a Doctorate in Computer Science from Freie Universität Berlin (2007) and a Mathematics Diploma from the University of Münster (2003). Her research focuses on computational geometry, algorithms, and trajectory analysis. Key interests include Fréchet distance computations, geometric clustering, and applications in geographic information systems. She has contributed to trajectory grouping structures, map construction from subtrajectories, and efficient algorithms for curve analysis. Publications highlight work on Fréchet distance variants, clustering algorithms, and geometric optimization. Recent trends emphasize practical applications of theoretical algorithms in movement data analysis and network extensions. Her research often bridges algorithmic theory with real-world spatial data challenges. No scientific awards or grants are explicitly listed in the provided materials. She advises graduate students through her academic roles and collaborates internationally in computational geometry and related fields.

• Model Theory
• Algebraic Geometry
• Group Theory
• +۲ مورد دیگر

Dr. Nadja Valentin is a Lecturer at Heinrich-Heine-Universität Düsseldorf, Faculty of Mathematics and Natural Sciences, specializing in mathematical logic at the intersection of algebra and model theory. Her research focuses on model theory applications in algebraic geometry, group theory, field theory, and combinatorics. Research interests include: Model-theoretic properties of groups and fields Stability and dependence theories Generalizations of stable group theory She teaches undergraduate courses in Mathematics for Computer Science and has published on n-dependent structures, pseudo-finite groups, and division rings. Her work develops theoretical frameworks connecting logic to core algebraic structures.

• Neuromorphic Computing
• Reservoir Computing
• Reinforcement Learning
• +۳ مورد دیگر

Prof. Abigail Morrison is a Professor and Group Leader of the Computation in Neural Circuits group at the Institute for Advanced Simulation (IAS-6), part of Forschungszentrum Jülich. Her work focuses on advancing neuromorphic computing, reservoir computing, and spiking neural network simulations. She leads development of the NEST simulator and NESTML modeling language, tools critical for large-scale brain modeling. Key research areas include: Neuromorphic hardware-software co-design Biophysically plausible neural network models GPU-accelerated simulation frameworks Multi-scale brain co-simulation techniques Applications in embodied AI and neuroscience Her lab contributes to the European EBRAINS infrastructure and has pioneered methods for parallel GPU-based network construction. Recent work explores topographic neural circuit architectures for signal processing and reinforcement learning in neuromorphic systems. Notable achievements include: Development of NESTML (v8.0+) ODE-toolbox for ODE solver selection Co-design of HNC neuromorphic compute nodes Advances in dendritic computation modeling Current efforts emphasize exascale computing readiness, neuromorphic system validation, and bridging biological plausibility with computational efficiency in neural network simulations.

Cathy Swaenepoelمشاهده پروفایل

دانشیار

• Analytic Number Theory
• Prime Number Distribution
• Finite Field Arithmetic
• +۳ مورد دیگر

Cathy Swaenepoel is a maître de conférences (Associate Professor) at Université Paris Cité, affiliated with the Institut de Mathématiques de Jussieu-Paris Rive Gauche and the Inria Ouragan project . Her research focuses on analytic number theory, particularly the distribution of prime numbers, digit patterns, finite field arithmetic, and connections to cryptography and algorithmic complexity. Her research interests include the interplay between prime number digit properties and finite field structures, with applications in pseudorandomness and cryptographic protocols. She has developed novel analytic methods for studying preassigned digit sequences in primes and squares. Recent publications include breakthroughs in reversible primes, digital constraints in finite fields, and additive character sums over structured sets. Her work bridges classical number theory with modern computational applications. She co-organizes the Number Theory Seminar at IMJ-PRG and the Rencontres de Théorie Analytique et Élémentaire des Nombres at the Institut Henri Poincaré. Teaching roles at Université Paris Cité span analysis, algebra, cryptography, and agrégation preparation.

• Theory of Computation
• Fine-Grained Complexity
• Graph Theory and Algorithms
• +۷ مورد دیگر

Dr. Amir Abboud is a Senior Scientist in the Department of Computer Science and Applied Mathematics at the Weizmann Institute of Science, a leading research institution in Israel. His work is centered on the theory of computation, particularly fine-grained complexity, aiming to establish exact computational complexity bounds for fundamental problems. Research Interests: Amir Abboud's research spans a broad spectrum of theoretical computer science, with a primary focus on Fine-Grained Complexity . He investigates conditional lower bounds based on popular conjectures such as SETH and 3SUM. His work extends to graph algorithms, dynamic data structures, pattern matching, sequence alignment, exact and parameterized algorithms, distributed computing, and circuit complexity. He employs deep connections between parsing, clique problems, edit distance, and spanner constructions to derive new hardness results. Publication Trends: His recent publications, appearing in top venues like FOCS and STOC, reveal a consistent focus on proving conditional lower bounds and developing improved algorithms for graph problems. Themes include subcubic algorithms for Gomory-Hu trees, additive spanners, and the interplay between parsing and clique detection. His work often bridges algorithmic improvements with complexity-theoretic limitations. Scientific Service: Program Committee Member, FOCS 2023 Program Committee Member, ICALP 2023 Program Committee Member, STOC 2023 Program Committee Member, SWAT 2022 Program Committee Member, SODA 2022 Program Committee Member, SOSA 2022 Program Committee Member, ESA 2020 Program Committee Member, CPM 2020 Program Committee Member, IPEC 2019 Program Committee Member, STOC 2019 Program Committee Member, FOCS 2018 Program Committee Member, CPM 2016 Advising and Grants: While the text does not list any formal students or advisees, Dr. Abboud leads significant research in theoretical computer science and collaborates with top researchers worldwide. His publication record and program committee roles indicate a well-funded and influential research trajectory, likely supported by institutional and national research grants, though specific grants are not mentioned. Labs and Research Groups: Dr. Abboud is affiliated with the theoretical computer science group at the Weizmann Institute of Science. He also organizes a Course on Fine-Grained Complexity and is part of a research group focused on algorithms and complexity, as indicated by the website structure.