Prof. Martin Rumpf is a leading academic at the University of Bonn's Institute for Numerical Simulation, specializing in numerical methods for partial differential equations, image/surface processing, and scientific visualization. His work bridges mathematics, computer science, and engineering, with applications in materials science, biomedical imaging, and computer graphics. Research focuses on developing and analyzing numerical algorithms for PDEs, optimal transport, shape optimization, and geometric calculus. Key contributions include discrete geodesic calculus, elastic shape correspondence, and multiresolutional visualization techniques. His group's projects often involve collaborations with industries and medical institutions. Notable achievements include the 'Best Paper Award' at SIGGRAPH 2024 for research on Willmore flow and neural networks. His research also extends to biomedical applications, such as kidney microstructure analysis using fast-marching algorithms. Teaching includes graduate seminars on optimal transport and numerical methods (e.g., 'Analysis and Computation of Optimal Transport', 'Einführung in die Numerische Mathematik').
Stefan Kramer is a Full Professor at the Institute of Computer Science, Johannes Gutenberg University Mainz. He holds leadership roles including Spokesperson of the DeCoDeML network and involvement in initiatives like the Plattform Lernende Systeme. His research focuses on data mining, machine learning, computational sustainability, and bioinformatics, with over 200 peer-reviewed publications. Kramer has supervised numerous theses and secured significant funding from EU, DFG, BMBF, and industry. Awards include Best Paper recognitions at KDD, ICDM, and ICBK conferences. He actively contributes to academic governance and interdisciplinary collaborations, leading the Institute of Computer Science from 2016–2018. His work emphasizes privacy-preserving techniques, interpretable models, and applications in social good. Education: PhD in Technical Sciences (Dr. techn.) from TU Wien (1999) Positions at Austrian Research Institute for Artificial Intelligence, Siemens AG, and TU München (2003–2011). Research Interests: Kramer’s work spans structured data mining (sequences, graphs), privacy-aware algorithms, computational sustainability, and bioinformatics applications. Notable projects include CheS-Mapper for chemical data visualization and enviPath for biodegradation pathway prediction. Grants & Collaborations: Over 30 projects funded by EU, DFG, BMBF, and industry. Key collaborations include OpenTox Euro, the Predictive Toxicology Challenge, and interdisciplinary networks like the Rhein-Main Universities’ DeCoDeML initiative. Labs/Teams: Leads the Data Mining Group at Mainz, contributing to tools like CheS-Mapper and enviPath. Active in organizing conferences (ECML/PKDD 2021) and editorial roles for Machine Learning journals.
Holger Kuße is a Professor of Slavistics at the Faculty of Languages, Literature and Cultural Studies at Technische Universität Dresden. He has established himself as a prominent scholar in Slavic linguistics, cultural linguistics, and Russian studies with an extensive publication record spanning several decades. Kuße has served as co-editor of multiple academic series including Specimina philologiae Slavicae since 1997, sub-series Slavische Sprachwissenschaft und Interdisziplinarität (1995-2000), Zeitschrift für Slawistik since 2009, and the book series Kulturen der Gerechtigkeit since 2013. Professor Kuße's research interests span Slavic linguistics, Russian language and culture, argumentation theory, cultural linguistics, semantics, philosophy of language, and interdisciplinary Slavic studies. His work demonstrates a particular focus on discourse analysis, religious discourse, and surprisingly, Karl May studies. His research often explores the intersection of language, culture, and philosophy, with significant contributions to understanding argumentative structures in Russian political and religious discourse. Kuße has organized numerous academic conferences including the Bohemicum Dresdense series, focusing on Czech language, culture, and history. Analysis of Kuße's recent publications reveals a consistent focus on linguistic argumentation, cultural linguistics, and Russian studies. His work demonstrates evolution from early studies on conjunctions and coordination in sermons and political speeches toward broader investigations of cultural linguistics, argumentation theory, and axiological approaches to language. Recent publications show increasing interest in contemporary issues including protest communication, language in conflict situations (particularly regarding Ukraine), and the application of linguistic theories to current geopolitical contexts. Professor Kuße has been actively involved in academic leadership through organizing conferences, editing major publications, and co-editing influential academic series. His work has established important connections between Slavic studies, cultural linguistics, and philosophical approaches to language. He has contributed significantly to the academic community through the Bohemicum Dresdense conference series, which has become an important platform for Czech-German academic exchange. While specific laboratory or research team information isn't explicitly detailed in the available materials, Kuße has consistently collaborated with scholars across disciplines and national boundaries. His work with the 'Kulturen der Gerechtigkeit' project (2009-2012) and numerous international collaborations indicate his role in fostering interdisciplinary and international research networks focused on Slavic linguistics and cultural studies.
Dr. Ulrike Stange-Hundsdörfer is a Professor of English Linguistics at Johannes Gutenberg University Mainz, where she has been teaching since 2009. She holds a PhD (2014) and Habilitation (2022) from the same institution, focusing on emotive interjections and the use of GenX 'so' in English. Her research spans corpus linguistics, sociolinguistics, language variation, and discourse analysis, with notable contributions to studies on intensifiers and historical linguistic change. Her academic journey includes roles as a teaching staff member, Habilitation supervisor, and contributor to interdisciplinary projects like the Mainz Corpus Collection. She has been awarded the 2024 Lehrpreis for her innovative teaching methods, particularly her flipped classroom approach in 'Spoken English'. Dr. Stange-Hundsdörfer’s work explores topics such as the pragmatic functions of interjections, syntactic innovations like GenX 'so', and the analysis of language in political discourse (e.g., Donald Trump’s speeches). She actively participates in international conferences and co-edits academic works on dialectology and linguistic variation. Her teaching portfolio includes courses on sociolinguistics, corpus analysis, and translation studies, emphasizing student-centered learning and digital tools. She has led educational projects such as the 'REEL Day' initiative and contributed to improving large-lecture teaching methods in linguistics.
Mathias Vetter is a Professor of Probability Theory and Mathematical Statistics at the Department of Mathematics, Christian-Albrechts-University of Kiel (since 2015). He previously held positions as W2 Professor at Philipps University of Marburg (2013–2015) and Acting W2 Professor at Johannes Gutenberg University Mainz (2012/13). He earned his Diploma in Mathematics (minor in Philosophy) from Ruhr University Bochum in 2006 and his Doctorate in Mathematical Statistics there in 2008. He conducted a research stay at the University of Chicago in 2007. His research focuses on Statistics for Stochastic Processes , Time Series Analysis , Econometrics , and Nonparametric Statistics , with applications to financial mathematics and environmental data analysis. Recent teaching includes courses on Financial Mathematics and Stochastic Integration, as well as Nonparametric Statistics during the 2025 summer semester. His publications span advanced statistical methodologies for analyzing stochastic processes, including jump activity estimation, volatility modeling, and goodness-of-fit testing. He serves as an Associate Editor for Metrika (since 2020). Since 2024, he has chaired the Senate of his university, overseeing institutional governance. Key research trends include methodological advancements in high-frequency data analysis, nonparametric inference for discontinuous processes, and the development of robust statistical tools for complex stochastic systems. His work bridges theoretical probability and applied statistics, with applications in finance, earth sciences, and econometrics.
Manuel Friedrich is a Professor for Applied Analysis at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) since 2021. Previously, he was a Junior Professor at the University of Münster (2018–2021) and held a postdoctoral position at the University of Vienna (2015–2018) supported by the Feodor Lynen Fellowship. His research focuses on applied analysis, calculus of variations, nonlinear PDEs, and mathematical modeling of materials science problems, including fracture mechanics, multiscale methods, and atomistic models. His academic journey includes a PhD in the TopMath program at Universität Augsburg (2012–2015), a Master’s degree at TU Munich (2010–2012), and a Bachelor’s degree at TU Munich (2007–2010). He has been actively involved in teaching, including courses on analysis, partial differential equations, and variational methods at FAU and Münster. Key research directions include variational fracture models, geometric rigidity, and the analysis of atomistic systems. His work has been supported by grants such as the DFG (German Research Foundation) and the GRK (Graduiertenkolleg) programs. Notable contributions include studies on Griffith fracture models, linearization of fracture evolution, and crystallization in materials. He leads a research group with members including Marco Bresciani, Antonio Donnarumma, and Joscha Seutter. Former members include Rufat Badal, Leonard Kreutz, and others. His scientific achievements include the Feodor Lynen Fellowship and publications in top journals like Archive for Rational Mechanics and Analysis and SIAM Journal on Mathematical Analysis.
Lukas Renelt is a researcher at the Institute for Analysis and Numerical Analysis within the Department of Mathematics and Computer Science at the University of Münster. His office is located in room 120.001 at Orléans-Ring 10, 48149 Münster, with administrative support from Secretary Silvia Wernke. Dr. Renelt's research focuses on advanced numerical methods for solving complex mathematical problems. His work particularly emphasizes model order reduction techniques for parametrized systems, with significant contributions to the analysis of Friedrichs' systems and reactive transport problems. His research bridges theoretical mathematics with practical computational approaches, developing stable and efficient numerical algorithms that overcome traditional limitations in high-dimensional problems. Analysis of Dr. Renelt's recent publications (2023-2025) reveals a consistent research trajectory in developing and analyzing model order reduction methods for parameter-dependent problems. His work demonstrates particular expertise in creating stable variational formulations and localized training approaches for Friedrichs' systems. A notable trend in his research is the development of methods that maintain stability while reducing computational complexity, addressing the persistent challenge of the 'curse of dimensionality' in numerical analysis. Dr. Renelt collaborates within the vibrant research environment of Applied Mathematics Münster, contributing to the department's focus on analysis and numerical methods. His work intersects with several research areas within the department, particularly those related to partial differential equations and computational mathematics.
**Jean Lagacé** is a **Lecturer in Pure Mathematics** at **King's College London**, where he is a member of the **London School in Geometry and Number Theory**. Previously, he was a Research Associate at the University of Bristol (hosted by Asma Hassannezhad) and a Research Fellow at UCL (working with Leonid Parnovski and Alexander Sobolev). He earned his Ph.D. from Université de Montréal in 2018 under Iosif Polterovich. He co-organizes the *Spectral Geometry in the Clouds* online seminar. His research focuses on **asymptotic analysis** in **spectral geometry**, **elliptic PDEs**, **homogenisation theory**, and the **geometry of numbers**. Key interests include boundary spectral problems (e.g., Steklov eigenvalues), eigenvalue optimisation, periodic/quasi-periodic operators, and lattice point counting in anisotropic domains. He employs tools from operator theory, harmonic analysis, and analytic number theory. His work spans topics like homogenisation in perforated domains, Steklov eigenvalue flexibility, and Weyl’s law for rough surfaces. He collaborates widely (e.g., with Alexandre Girouard, Mikhail Karpukhin) and contributes to journals such as *GAFA*, *Inventiones Mathematicae*, and *Journal of Spectral Theory*. No awards are explicitly mentioned. He advises no listed students but actively organizes seminars and collaborates on grants (details unspecified). His affiliation with the London School positions him within a network focused on geometry and number theory.
Ulrich Pfister is a Full Professor of Social and Economic History of Modern and Contemporary Times at the University of Münster, Germany. He holds leadership roles in research projects such as the Cluster of Excellence 2060 (Religion and Politics), focusing on religious communities as economic networks and the intersection of speculation, contract, and religion. His academic journey includes habilitation from the University of Zurich (1991), a Dr. phil. (1984), and degrees in history, sociology, and economic history from Zurich (1981). Education: Habilitation in General and Swiss Modern History, University of Zurich (1991) Doctorate (Dr. phil.), University of Zurich (1984) Licentiate in History, Sociology, and Economic History, University of Zurich (1981) Research Foci: Quantitative economic history, rural social history, and the interplay between religion and economic development. His research examines topics such as pre-industrial economic crises, demographic transitions, and the impact of state formation on market integration. Notable contributions include studies on German unification’s economic effects and the role of guilds in proto-industrialization. Grants & Projects: Leading the Cluster of Excellence 2060 projects B3-7 and B3-8 since 2019. DFG-funded research on market contacts of aristocratic estates and Fleißrevolution (Diligence Revolution). Awards: Opus magnum Award from VolkswagenStiftung (2011). Teams/Labs: Collaborates with institutions like the Institute for Economic and Social History and co-edits publications on global economic history.
Dr. Tobias Müller is a Researcher at the Chair of Theoretical Physics I (Theoretical Physics I Department) at Julius-Maximilians-University Würzburg. His affiliation includes the Thomale research group (AG Thomale), focusing on theoretical physics with a strong emphasis on condensed matter and quantum mechanics. His research explores advanced mathematical models and computational methods in physics, contributing to foundational understanding of complex systems. Contact information includes his office location at Building M1 (Space 03.004) and phone +49 931 31-83956. Research interests span theoretical frameworks in physics, including quantum phenomena, statistical mechanics, and mathematical physics applications. His work bridges theoretical models with experimental validations, addressing cutting-edge questions in modern physics. Recent publications indicate interdisciplinary engagement with genetics, epigenetics, and veterinary oncology, though primary affiliation remains in theoretical physics. No formal student advisees are listed in current records. Scientific awards or grants are not explicitly documented in provided texts. His lab affiliations include the Theoretical Physics I group, contributing to collaborative research initiatives within the university's physics cluster. Ongoing projects likely involve computational modeling and interdisciplinary collaborations.
Dr. Manfred Sauter is a permanent academic staff member at the University of Ulm , affiliated with the Institute of Applied Analysis within the Faculty of Mathematics and Economics. Since 2014, he has taught foundational and advanced mathematics courses for physics, engineering, computer science, economics, and mathematics programs, including Analysis I-III , Linear Algebra , and specialized lectures like Geometric Analysis and Elements of Complex Analysis . As co-organizer of conferences such as the 2023 Mini-Konferenz Elliptic and Parabolic Equations , he contributes to academic collaboration. Education: PhD (2013, University of Auckland), Diploma Thesis (2008, University of Ulm). Research: Focuses on elliptic operators in irregular domains, spectral theory, and inverse problems, developing approximation-based trace concepts for Sobolev functions. His work bridges operator theory, form methods, and differential equations. Teaching Innovations: Co-developed the PASST! project for mathematics colloquia, earning the 2017 Teaching Bonus. Leads online courses via Moodle and coordinates international internet seminars. Scientific Awards: Teaching Bonus (2017, PASST! project) NZMS Student Travel Grant (2010) Prize for Best Talk at AGFA+IAA Workshop (2016) Publications with Wolfgang Arendt, A.F.M. ter Elst, and others explore maximal regularity, Dirichlet-to-Neumann operators, and form methods. Current habilitation research extends his approximative trace theory to irregular domains.
Matthias Eitelmann is a Senior Academic Councillor in the Department of English Linguistics at the Johannes Gutenberg University Mainz. He holds a PhD (2009) and a habilitation (project: "End-weight from a Synchronic and Diachronic Perspective"). His research focuses on historical linguistics, morphology, corpus linguistics, and sociopolitical language analysis. Notable works include studies on the Old English epic Beowulf, the morphological evolution of the -ish suffix, and linguistic features in Donald Trump's discourses. Research interests span morphological derivation, language variation, diachronic syntax, and corpus-driven approaches. Recent publications emphasize approximation markers in English, contrastive dialectal syntax, and theoretical implications of grammatical reorganization. He has co-edited volumes on morphology, political language, and historical linguistic studies. Publications reflect a blend of monographs (e.g., Beowulf's Beorh), edited collections (e.g., Extravagant Morphology), and peer-reviewed essays in journals like Zeitschrift für Wortbildung and English Language and Linguistics . His work bridges traditional linguistic analysis with digital methods, addressing challenges in modern English linguistics education and research. Academic contributions include editorships on Trump's language, morphological theory, and Germanic language histories. Teaching innovations, such as the LINGUA introductory course, are documented in pedagogical studies. No explicit awards are listed, but his active publication record indicates scholarly recognition.
Dr. Jasmin Reichert-Schlax is a Researcher at the Department of Business Education, Johannes Gutenberg University Mainz. She is affiliated with the Chair of Business Education under Professor Olga Zlatkin-Troitschanskaia. Her work focuses on educational research, economics education, and higher education studies. She holds an office at Jakob-Welder-Weg 9, Room 01-110, and can be reached via email . Her research interests include study success determinants, digital learning tools, educational assessment methodologies, and cross-cultural comparisons in economics education. She has contributed to projects analyzing academic performance metrics, entrance diagnostics, and competency development in teacher education. Recent studies explore the impact of media use on learning outcomes and the validation of subject-specific tests in higher education admissions. Key themes in her publications (2021–2024) revolve around: Quantitative analysis of academic success patterns in economics and social sciences Development and evaluation of digital learning tools for teacher training Comparative studies on economic literacy across Germany, Japan, and Russia Entrance diagnostics optimization for equitable higher education access Her work emphasizes evidence-based educational policy, equity in assessment, and innovative pedagogical strategies.
Prof. Dr. Karsten Hank is a Full Professor (W3) of Sociology at the Faculty of Management, Economics and Social Sciences , University of Cologne, since 2010. His research spans population aging, intergenerational family relations, sociology of health, demography, and life-course analysis, with a focus on cross-nationally comparative studies and social inequality. PhD in Sociology (Dr. rer. pol.) from the University of Rostock (2002) Habilitation in Sociology from the University of Mannheim (2006) His work investigates: Structural impacts of aging populations Intergenerational solidarity and conflict Health disparities across life stages Demographic transitions in European and East Asian contexts Life-course socioeconomic determinants His publications analyze aging trajectories, family care systems, and gendered health outcomes using longitudinal datasets like SHARE, CHARLS, and KLoSA. Current affiliations include leadership roles in the University of Cologne's Demography & Social Inequality research initiative.
Prof. Dr. Paul Steinmann is a full Professor and Chair of Engineering Mechanics (LTM) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Faculty of Engineering. Since December 2020, he serves as Special Representative for Strategic Development at FAU, supporting academic positioning and research excellence. He is also Director of the Glasgow Computational Engineering Centre (GCEC), UK, reflecting his international leadership. Research Interests: His work focuses on advanced computational and theoretical mechanics, including materials modeling, multiscale and multiphysics problems, fracture mechanics, biomechanics, and finite element methods. He develops robust mathematical and numerical frameworks for complex material behavior under extreme conditions. Publication Trends: His recent research emphasizes cross-scale fracture modeling, phase-field methods, thermomechanical coupling, chemo-mechanical degradation, and configurational mechanics. These reflect a strong trend toward unified, thermodynamically consistent frameworks applicable across engineering and biological systems. Scientific Awards: Fellow Award from IACM (2006) Fellow Award from EUROMECH (2006) Timoshenko Visiting Scholar Award, Stanford University (2007) ERC Advanced Grant (2011) Royal Society Wolfson Research Merit Award (2017) Advising and Grants: As spokesperson for the DFG Research Training Group FRASCAL and former leader of multiple DFG projects, he has supervised numerous PhD students and postdocs. He has secured major grants including the ERC Advanced Grant and led collaborative research across Germany and internationally. He has served on DFG and DAAD committees, contributing to national research policy and funding decisions. Labs and Teams: He leads the Chair of Engineering Mechanics at FAU and is deeply involved in the DFG Research Training Group FRASCAL, fostering interdisciplinary research across mechanics, materials science, mathematics, chemistry, and physics. His international role as Director of GCEC strengthens computational engineering collaborations between FAU and UK institutions.
