جست‌وجوی استاد و پژوهشگر

Lars Linsenمشاهده پروفایل

استاد

• Interactive Visual Analysis
• Medical Visualization
• Scientific Visualization
• +۴ مورد دیگر

Prof. Dr.-Ing. Lars Linsen is a full Professor of Computer Science at the Westfälische Wilhelms-Universität (WWU) Münster, leading the VISualization & graphIX (VISIX) group. His primary affiliation is the Institute of Computer Science within the Faculty of Mathematics and Computer Science. He holds adjunct professorships at Jacobs University, Bremen, and has held previous academic roles including Full Professor at Jacobs University (2012–2017) and Associate/Assistant Professor roles in Germany and the U.S. His research focuses on interactive visual analysis, medical visualization, and scientific visualization, with applications in life sciences and engineering. Education: PhD (Dr.-Ing.) in Computer Science from Universität Karlsruhe (2001), M.Sc. (Diplom) in Computer Science (1997), B.Sc. (Vordiplom) in Computer Science (1994). Awards: IEEE Visualization Design Contest Winner (2008, 2022, 2018), Preis des Fördervereins des Forschungszentrum Informatik (2002). Research Highlights: Develops visualization tools for medical imaging (e.g., mass spectrometry imaging, MRI data analysis) and physical simulations (e.g., wildfire spread analysis, asteroid impact modeling). Active in EU-funded projects like Pig-Pro-QuO (surface coatings) and cells-in-motion initiatives. Supervised over 20 PhD/MS advisees, including notable graduates in medical visualization and simulation ensemble analysis. Publications: Over 100 peer-reviewed articles in top venues like IEEE Transactions on Visualization and Computer Graphics, Computers & Graphics, and EuroVis. Key works include SciVis contest-winning wildfire analysis frameworks and medical visualization tools for stenosis detection. Teaching: Offers courses on visualization, computer graphics, and computational science. Actively involved in thesis supervision and curriculum development at both WWU Münster and Jacobs University. Grants & Collaborations: Principal investigator on DFG-funded projects (e.g., hemodynamics simulations, ensemble visualization) and industry collaborations (e.g., Tascon GmbH for coating quality analysis). Member of the Cells-in-Motion Interfaculty Centre and CDH board at WWU.

• Adaptive nonparametric statistics
• High-dimensional data analysis
• Financial time series modeling
• +۵ مورد دیگر

Prof. Vladimir Spokoiny is a leading figure in stochastic algorithms and nonparametric statistics at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) and Humboldt University of Berlin . His work bridges mathematical statistics with practical applications in finance, medicine, and machine learning. Born in 1959 in Moscow, USSR PhD from Lomonosov Moscow State University (1988) Habilitation from Humboldt University (1996) Head of WIAS research group since 2000 Professor at Humboldt University since 2002 Spokoiny's research focuses on adaptive nonparametric methods, high-dimensional data analysis, and statistical finance. His innovations in local homogeneity testing and propagation-separation methods have advanced volatility modeling, image analysis, and manifold learning. He employs Bayesian optimization frameworks and stochastic control techniques for financial instrument pricing. Recent scientific contributions include generalized bootstrap procedures for Bures-Wasserstein barycenters (2024), dimension-free Laplace approximation bounds (2023), and structure-adaptive manifold estimation (2022). His 19+ PhD students and editorial roles in top journals like The Annals of Statistics demonstrate sustained academic impact. International Statistical Institute member American Statistical Association fellow Institute of Mathematical Statistics member Bernoulli Society member

Christian Mayerمشاهده پروفایل

استاد

• Origin of life
• Nanocapsules
• NMR spectroscopy
• +۵ مورد دیگر

Prof. Dr. Christian Mayer is a Professor in Physical Chemistry at the Faculty of Chemistry, University of Duisburg-Essen. He serves as Head of the working group focusing on origin of life research, nanocapsules, and NMR spectroscopy techniques. His research group is located at Universitätsstraße 5, D-45141 Essen, Germany, with contact information including phone number +49 201 183-2570. Prof. Mayer's research interests primarily focus on the origin of life in deep tectonic fault zones of the first continental fragments, where he collaborates with Prof. Dr. Ulrich Schreiber from the Faculty of Biology and Prof. Dr. Oliver Schmitz from Applied Analytical Chemistry. His work investigates how vesicle formation occurs in tectonic fault systems through cyclic phase transitions of carbon dioxide, creating ideal conditions for molecular evolution. He specializes in pulsed field gradient NMR (PFG-NMR), high-resolution NMR, and solid-state NMR techniques to characterize nanoscale systems including nanocapsules, vesicles, and microemulsions. His recent publication trends reveal a strong interdisciplinary focus spanning physical chemistry, prebiotic chemistry, and astrobiology. The articles demonstrate increasing integration of computational methods with experimental approaches, particularly in analyzing molecular structures and dynamics. His research has evolved from fundamental studies of nanocapsule systems to broader investigations of protocell formation mechanisms under early Earth conditions, with recent work extending to astrobiological contexts including potential life formation on Titan. Prof. Mayer has established significant collaborations across multiple disciplines, particularly with geologists and biologists, to investigate the physical chemical processes that could have led to the emergence of life. His work bridges fundamental physical chemistry with practical applications in nanomedicine, particularly in developing artificial oxygen carriers based on nanocapsule technology. His laboratory utilizes high-pressure facilities to simulate early Earth crust conditions, with a particular focus on supercritical CO 2 environments. The working group combines experimental approaches with theoretical modeling to understand vesicle formation processes and their implications for the origin of cellular life.

• Stochastic Processes
• Probability Theory
• Mathematical Modeling
• +۴ مورد دیگر

Professor Vitali Wachtel of Bielefeld University's Faculty of Mathematics specializes in advanced stochastic processes, probability theory, and their applications in mathematical modeling. Since 2021, he holds a W3 Professorship and serves as Principal Investigator in CRC 1283 'Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications' since 2023. Chaired Examination Boards for Bachelor & Master Business Mathematics Member, Bielefeld Graduate School in Theoretical Sciences Research focus: Markov processes, random walks in cones, branching processes Research Trends: His recent work spans critical multitype branching in random environments (2025), asymptotic expansions for conditioned random walks (2024), and invariance principles for integrated processes. He explores connections between stochastic processes, combinatorial structures, and risk modeling with level-dependent premiums. Awards: Feodor Lynen Research Fellowship (2017), Alexander von Humboldt Foundation Teaching: Coordinates modules including 'Stochastic Processes' (24-M-PT-STP) and 'Introduction to Probability Theory' (24-B-EW-5). Active in curriculum development and academic governance through multiple university committees.

Matthew K. Tamمشاهده پروفایل

دانشیار

• continuous optimisation and its applications
• monotone operator theory
• variational and convex analysis
• +۳ مورد دیگر

Matthew K. Tam is an Associate Professor at the School of Mathematics and Statistics, The University of Melbourne, specializing in Operations Research. He is also an investigator at the Melbourne Centre for Data Science and an associate investigator in the ARC Training Centre OPTIMA. PhD in Mathematics (2016) from University of Newcastle under Jonathan Borwein Postdoctoral research at University of Göttingen with RTG-2088 and Alexander von Humboldt Foundation Junior Professor at University of Göttingen (2017-2020) His research focuses on continuous optimization, monotone operator theory, and variational analysis, with applications in wavelet construction and inverse problems. Key trends include distributed algorithms, resolvent splitting, and convergence analysis for feasibility problems. Discovery Early Career Researcher Award (DECRA) Alexander von Humboldt Fellowship He collaborates with institutions like ANZIAM, Springer, and IEEE, with publications spanning mathematical optimization, harmonic analysis, and computational mathematics. His work emphasizes algorithmic design for complex data systems and real-world applications in imaging and industrial modeling.

Christian Liebscherمشاهده پروفایل

استاد

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

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

• Stochastic Analysis
• Rough Path Theory
• Mathematical Finance
• +۳ مورد دیگر

Peter K. Friz is an Einstein Professor in Mathematics at TU-Berlin, affiliated with the Institute of Mathematics, and associated with the Weierstrass Institute for Applied Analysis and Stochastics. His research focuses on stochastic analysis, rough path theory, and mathematical finance, with particular emphasis on volatility modeling and applications to quantitative finance. He has held prestigious grants, including ERC Starting and Consolidator Grants, and coordinates the DFG research unit 'Rough paths, stochastic partial differential equations, and related topics.' Friz's work bridges theoretical stochastic analysis and practical financial applications, emphasizing rough path theory and its implications for differential equations and stochastic processes. His collaborations include organizing international conferences and courses on rough paths, with invited lectures at institutions like Cambridge, Paris, and Bonn. Supported by DFG, the European Research Council, and the Einstein Foundation, his research explores geometric aspects of pathwise analysis and stochastic volatility dynamics. He has advised numerous PhD students and maintains active roles in academic administration, including coordinating Berlin Mathematical School programs and teaching advanced topics in stochastic calculus. His contributions to rough path theory and stochastic finance are recognized through his academic leadership and influential publications, including co-authoring the seminal book Multidimensional Stochastic Processes as Rough Paths .

• Sociotechnical Energy Systems
• Water-Energy-Waste Nexus
• Industrial Ecology
• +۴ مورد دیگر

Dr. Witold-Roger Poganietz serves as Research Group Leader of the “Sociotechnical Energy Futures” group at the Institute for Technology Assessment and Systems Analysis (ITAS) at Karlsruhe Institute of Technology (KIT), where he has been a research associate since 2008. His position places him at the intersection of technological systems analysis and societal transformation processes, with a particular focus on sustainable energy transitions. Dr. Poganietz’s research program centers on the complex interrelationships between technological systems and social structures. His primary expertise lies in sociotechnical energy analysis, water-energy-waste nexus studies, industrial ecology applications, and circular economy models. His work consistently adopts a systems perspective that examines how different elements of resource management interact across technical, social, and institutional dimensions. This approach is particularly evident in his internationally recognized research on integrated sustainability assessment methodologies. His recent publications (2023-2025) reveal a strong emphasis on context-specific applications of integrated resource management, particularly examining the water-energy-waste nexus in diverse geographic settings including Chile, Colombia, and Germany. His work frequently employs stakeholder analysis and participatory methods to understand the social dimensions of technical systems, reflecting a commitment to developing solutions that are both technically sound and socially just. Dr. Poganietz has made significant contributions through major research initiatives such as the Kopernikus-Project ENSURE, which focuses on participation mechanisms and knowledge transfer in Germany’s energy transition. His research bridges technical analysis with social considerations, addressing practical implementation challenges while maintaining strong theoretical foundations in systems analysis and technology assessment.

Daniela Grunowمشاهده پروفایل

استاد

• Sociology
• Social Change
• Gender Studies
• +۷ مورد دیگر

Prof. Dr. Daniela Grunow is a Professor of Sociology specializing in Quantitative Analyses of Social Change at Goethe University Frankfurt's Institute of Sociology, within the Faculty of Social Sciences. She serves as the spokesperson for the RISS (Reconfiguration and Internalization of Social Structure) research group and coordinates projects addressing multidimensional social change, gender ideologies, and labor divisions. Her work bridges theoretical frameworks with empirical research, focusing on gender norms, family policies, and social integration. Grunow leads the DFG-funded HISTOBIAS project analyzing historical/cross-cultural bias via NLP and participates in the FGZ’s research on social cohesion. She also oversees the RISS project on reconfigured social structures and their societal impacts. Her research spans over two decades, with key contributions in gender ideologies across Europe, labor-market inequalities, and the internalization of social structures. Notable projects include analyzing Twitter discourse on refugee solidarity (2023) and examining couples' ideological pairings in housework dynamics (2025). Grunow’s interdisciplinary approach integrates sociology, political science, and computational methods to address contemporary societal challenges. She holds grants from DFG, BMBF, and the ERC, including the €2.5M APPARENT project (2011–2016). Prof. Grunow’s academic presence includes roles as RISS spokesperson, FGZ co-speaker, and team leader of the Sociological Revue review (2022). Her work emphasizes methodological rigor, including latent class modeling and SEM. Office: PEG Building 3.G116, contact via email .

• Mechanism Design
• Voting Theory
• Game Theory
• +۱ مورد دیگر

Andreas Kleiner is a Professor in the Department of Economics at the University of Bonn. His research focuses on Mechanism Design , Voting Theory , Game Theory , and Political Economy . Research Interests Mechanism Design Voting Theory Game Theory Political Economy Recent Publications (2018-2025) Kleiner's work explores multidimensional delegation with stochastic mechanisms, convex choice properties in mechanism design, and extreme point analysis in fusions. He investigates sequential veto bargaining dynamics, interdependent voting models, and costly verification in resource allocation. His research connects linear programming to monopoly pricing duality and examines historical legislative agenda-setting strategies. Contact Email: andreas.kleiner@uni-bonn.de Email: andykleiner@gmail.com

Richard Traunmüllerمشاهده پروفایل

استاد

• Political Science
• Empirical Democracy Research
• Social Cohesion
• +۶ مورد دیگر

Prof. Dr. Richard Traunmüller is a Professor of Political Science and Empirical Democracy Research at the University of Mannheim. He serves as Scientific Director of the German Internet Panel (GIP) and is affiliated with the Research Institute Social Cohesion (RISC) at Goethe University Frankfurt. His research spans multidimensional social change, immigration policy, wartime sexual violence, and quantitative methodology. School of Social Sciences, University of Mannheim Goethe University Frankfurt University of Essex University of Bern University of Konstanz His research focuses on: Democratic challenges from social structural reconfiguration Religious diversity and social cohesion Free speech regulation in digital democracies Long-term effects of wartime sexual violence Recent work analyzes: Causal impacts of immigration policies Contextual speech norms Gendered consequences of conflict trauma Bayesian approaches to sensitive topics Scientific awards include: BEST PAPER AWARD (CES Immigration Research Network, 2017) BEST ARTICLE AWARD (APSA Migration & Citizenship, 2017) He teaches courses on: Bayesian Statistics Data Visualization Free Speech & Censorship Political Methodology Conflict Studies

Anne Lauscherمشاهده پروفایل

پژوهشگر

• Argumentation Mining
• Scientific Publication Mining
• Scitorics
• +۴ مورد دیگر

Dr. Anne Lauscher is a Researcher at the Data and Web Science Group, University of Mannheim, School of Business Informatics and Mathematics. Her work focuses on neural methods for natural language understanding, particularly in Argument Mining, Scientific Publication Mining (scitorics), and ethical considerations in NLP. She investigates language representations, bias detection in models, and fair AI. She has been involved in projects like the Linked Open Citation Database (LOC-DB) and contributes to conferences like ACL and EMNLP. She has taught courses on Text Analytics, Machine Learning, and Ethics in NLP, and supervised theses on topics like detecting unfairness in Arabic text representations and hyperpartisan news detection. Her research bridges computational linguistics with societal ethics, aiming to improve fairness and interpretability in AI systems. Her research interests span Argumentation Mining, Scientific Publication Mining, scitorics, Transfer Learning, Representation Learning, and Ethics in NLP. She explores how to inject knowledge into language models and analyze biases in text representations. Her work on 'scitorics' involves analyzing rhetorical aspects of scientific writing to understand argumentation structures. Publications highlight contributions to bias mitigation (e.g., DebIE platform), specialized language models, and multilingual datasets like Multi2WOZ. Her work appears in top venues such as EMNLP, ACL, and COLING. She actively contributes to the academic community through roles like Publication Co-Chair for EurNLP 2020 and PC member for multiple conferences. Her advising includes guiding students on thesis projects addressing fairness, argumentation, and NLP applications. She collaborates with institutions like Stuttgart Media University and the Data and Web Science Group to advance research in ethical AI and NLP.

Len Ole Schäferمشاهده پروفایل

پژوهشگر ارشد

• Higher Education Research
• Organizational Sociology
• Educational Technologies
• +۴ مورد دیگر

Dr. Len Ole Schäfer is a Postdoctoral Researcher at the CATALPA research cluster, FernUniversität in Hagen, leading the project 'Organizational Resilience and Creativity: Exploring the Future of Educational Technology in Higher Education' (ORC) in collaboration with the Alexander von Humboldt Institute for Internet and Society (HIIG). His work investigates the interplay between organizational resilience, creativity frameworks, and educational technology implementation within higher education institutions, emphasizing trust-based leadership and strategic adaptation. Schäfer holds a PhD in Sociology (2018) from the University of Bamberg examining the UK's Research Excellence Framework impact on academic practice, and a Diploma in Sociology (2012) focused on ranking construction in science. His academic trajectory includes research positions at Zeppelin University (2018), University College London's Centre for Global Higher Education (2016), and the University of Bamberg (2012-2018). His research centers on higher education organizational dynamics, particularly how universities navigate digital transformation through resilience-building and creativity cultivation. Key interests include sociological theory applications, organizational sociology frameworks, and the role of digitalization strategies in enabling innovation. His work consistently analyzes resistance to digital change, strategic ambiguities in institutional policies, and trust mechanisms that foster EdTech adoption across diverse academic contexts. Recent publications reveal a cohesive trajectory examining organizational responses to digital disruption, with emphasis on faculty perspectives, leadership approaches, and structural adaptations. His studies—primarily qualitative and mixed-methods—highlight tensions between centralized strategies and decentralized implementation, resistance triggers, and the paradoxical role of ambiguity in enabling innovation during rapid technological change. As an active community contributor, Schäfer serves on the advisory board of FernUniversität's #NewLearning Blog and reviews for 'Higher Education - The International Journal of Higher Education Research'. His project leadership in ORC (2023–present) and OrA (until 2023) demonstrates sustained engagement with German higher education's adaptability challenges, while international collaborations with HIIG and conference presentations at EGOS and Swiss Sociological Association forums extend his scholarly impact.

• Cognitive Semantics
• Construction Grammar
• Discourse Analysis
• +۶ مورد دیگر

Alexander Ziem is a Professor of German Linguistics and Chair holder at the Institute of German Studies , Heinrich Heine University Düsseldorf, since 2016. His academic career spans institutions such as the International Computer Science Institute (ICSI) in Berkeley, Universität Basel, and Technische Universität Berlin. Research Focus: Cognitive semantics, construction grammar, FrameNet-Konstruktikon projects, discourse analysis, and socio-cognitive dimensions of language. Projects: Initiator of the long-term ' FrameNet and Constructicon of German ' project; co-editor of Diskursforschung and DiskursNetz handbooks. His recent publications emphasize constructional meanings, semantic frames, and multilingual frameworks. He leads the German Constructicon project and collaborates on digital humanities tools like SimilarCxns and FrameMap3D. Scientific Awards: Preis für Geisteswissenschaften , Akademie der Wissenschaften zu Göttingen (2011). Research Fellow, International Computer Science Institute (ICSI), Berkeley (2013–2014). Ziem’s team at HHU includes 25 members, with 10 research assistants, and he contributes to curriculum development, including the upcoming Digital Cultures degree program. His methodological approach integrates corpus linguistics, frame semantics, and machine learning.

Friedrich Röpkeمشاهده پروفایل

استاد

• Astrophysics
• Stellar Evolution
• Supernovae
• +۳ مورد دیگر

Friedrich Röpke is a Professor and group leader in Physics of Stellar Objects , with a focus on astrophysical fluid dynamics and supernova modeling. His research spans Type Ia supernovae , white dwarf mergers , and common-envelope evolution , utilizing advanced 3D hydrodynamic simulations and radiative transfer techniques . Publications in journals like Astronomy & Astrophysics and Monthly Notices of the Royal Astronomical Society highlight his contributions to understanding thermonuclear explosions and magnetic field generation in stellar systems. His work emphasizes multidimensional modeling of supernova mechanisms, including double detonations , deflagration-detonation transitions , and polarization signatures . Collaborations with researchers like Rüdiger Pakmor and Ivo Seitenzahl reflect interdisciplinary efforts in computational astrophysics and cosmochemistry . Articles demonstrate expertise in low-Mach number flows , convective boundary dynamics , and gamma-ray nucleosynthesis .