جست‌وجوی استاد و پژوهشگر

Benny Moldovanuمشاهده پروفایل

استاد

• Auctions
• Mechanism Design
• Microeconomic Theory
• +۲ مورد دیگر

Benny Moldovanu is a Professor at the University of Bonn , affiliated with the Department of Economics and institutions like the Hausdorff Center for Mathematics , ECONtribute , and CRC TR 224 EPoS . His research focuses on Auctions and Mechanism Design and Microeconomic Theory , with recent work exploring entropy-regularized optimal transport in information design, security design for risk-averse investors, and dynamic voting games. His scientific contributions include groundbreaking papers on auction theory, voting systems, and contract design, published in top journals like the Review of Economic Studies and American Economic Review . Notably, he won the AEA Best Paper Award for AEJ: Microeconomics . His collaborations span institutions such as the University of Cambridge, MIT Press, and the Bonn Graduate School of Economics (BGSE) , where he mentors future economists. His work addresses real-world issues like Brexit, spectrum licensing, and nuclear weapons sales through theoretical and experimental lenses.

• Mass Spectrometry
• Metabolomics
• Lipidomics
• +۵ مورد دیگر

Zheng-Jiang Zhu is a Professor at the Shanghai Institute of Organic Chemistry (SIOC), Chinese Academy of Sciences, within the Interdisciplinary Research Center on Biology and Chemistry (IRCBC) . Since 2013, he has led a research program focused on advanced mass-spectrometry technologies and their application to metabolomics, lipidomics, and systems biology. Education and Training PhD in Chemistry, University of Massachusetts Amherst, 2006–2011 BS in Chemistry, Nanjing University, 2002–2006 Post-doctoral Research Associate, Scripps Research Institute, 2011–2013 Research Interests Professor Zhu’s research integrates cutting-edge mass spectrometry , ion mobility spectrometry , and bioinformatics to address fundamental questions in metabolism , aging , and neurodegeneration . His group develops novel analytical workflows, software tools, and databases that enable high-throughput, high-coverage profiling of metabolites and lipids in complex biological systems. Specific areas of focus include: Stable-isotope tracing metabolomics for mapping metabolic fluxes across tissues Lipid transport and remodeling at subcellular resolution Machine-learning-assisted metabolite annotation and structural elucidation Biomarker discovery for early cancer diagnosis and aging interventions Scientific Output & Impact Over the past decade, Zhu has authored more than 78 peer-reviewed publications in leading journals such as Nature Communications , Analytical Chemistry , Science Advances , and Nature Chemistry . His 2025 papers alone address tissue-specific fatty-acid biosynthesis, AI-driven metabolite annotation, organellar lipid trafficking, and the anti-aging role of citrulline in macrophages. These works collectively advance both technological frontiers and biological understanding, positioning his laboratory at the forefront of integrated multi-omics research. Software & Databases AllCCS2 – A curated atlas of collision cross-section values for small molecules Met4DX – A unified data-processing platform for multidimensional untargeted metabolomics LipidIMMS Analyzer – Integrative tools for ion-mobility-based lipidomics MetFlow – Interactive workflow for metabolomics data cleaning and differential analysis Collaborations & Funding Zhu’s research is supported by multiple national grants and extensive collaborations with clinicians and industry partners. His group routinely engages in peer review for over 20 high-impact journals, reflecting the community’s recognition of his expertise in analytical chemistry and systems biology.

• Occupational Health Psychology
• Workplace Wellbeing
• Stress Management
• +۶ مورد دیگر

Prof. Dr. Annekatrin Hoppe is a Professor at the Institute of Psychology within the Faculty of Life Sciences at Humboldt University of Berlin. Her research focuses on occupational health psychology, workplace wellbeing, stress management, and the psychological impacts of modern work environments. She leads initiatives exploring the intersection of technology, work-life balance, and employee health, with particular attention to diversity and inclusion in the workplace. Her work emphasizes developing interventions to enhance job crafting, psychological detachment, and resilience among employees facing challenges like telepressure and workplace aggression. Key areas of expertise include mindfulness in the workplace, organizational behavior, and the design of resource-oriented interventions for healthcare and low-wage workers. Her research spans over two decades, with notable contributions to understanding how digital work demands, cultural diversity, and socioeconomic factors influence employee well-being. She has developed psychometric tools like the Approach-Avoidance Job Crafting Scale and collaborates internationally on projects related to hybrid work models, migrant worker health, and the prevention of burnout. Prof. Hoppe also actively engages in public policy discussions about workplace health promotion and flexible labor practices. Her academic profile includes over 60 peer-reviewed articles and book chapters, with recent focus on interventions for healthcare professionals and the psychological implications of the pandemic. She maintains a lab focused on occupational health psychology, emphasizing real-time assessment methodologies and digital health solutions.

• Compressible Flows
• Numerical Modeling
• Smoothed Particle Hydrodynamics
• +۷ مورد دیگر

Stefan Adami is an Adjunct Professor at the Institute of Aerodynamics and Fluid Mechanics, Technical University of Munich (TUM), where he leads the 'Nanoshock' research group. He holds a Ph.D. in Mechanical Engineering from TUM and was awarded habilitation in 2022, followed by appointment as Privatdozent in 2023. His academic career at TUM includes roles as research associate, Akademischer Rat, and group leader. Research Interests: Compressible and multiphase flows Numerical modeling and simulation Smoothed Particle Hydrodynamics (SPH) High-speed aerodynamics and shock wave dynamics Applications in additive manufacturing and biomedical fluid mechanics His recent research employs advanced solvers like ALPACA for high-resolution simulations of bubble dynamics, shock interactions, and interfacial flows. He has contributed to modeling in laser-based 3D printing and cavitation-based drug delivery systems. Recent Publication Trends: His 2023–2025 publications emphasize compressible multiphase flows, high-order numerical schemes (WENO-THINC), and applications in materials processing and biomedical engineering. He frequently collaborates on solver development and benchmarking, including large-scale datasets for Riemann problems. Teaching: Lecturer for 'Numerical Methods for Conservation Laws' (Winter Semester) Lecturer for 'Turbulent Flows' (Summer Semester) Previously served as Teaching Assistant for Continuum Mechanics and Computational Solid and Fluid Dynamics Research Leadership: Leader of the 'Nanoshock' research group since 2015 Key contributor to the development of the ALPACA solver for compressible multiphase flows Active in interdisciplinary projects involving fluid-structure interaction and industrial applications

Eric D. Widmerمشاهده پروفایل

استاد

• Family Sociology
• Life Course Research
• Social Networks
• +۱۴ مورد دیگر

Eric D. Widmer is a Professor in the Department of Sociology at the University of Geneva, where he conducts research on family and personal configurations, life course trajectories, and social networks. He is a member of I-DEMO and affiliated with the Swiss National Center of Competence in Research LIVES. Widmer developed the Family Network Method (FNM) and applies a configurational perspective influenced by Norbert Elias to study evolving family structures. University of Geneva – Department of Sociology Member, I-DEMO Affiliated with LIVES – Swiss Center of Expertise in Life Course Research Former Visiting Researcher, Research Group Demography and Inequality (2014) His research focuses on family diversity, gendered life courses, and methodological innovations such as multichannel sequence analysis. He investigates how family configurations evolve across the life course, how they relate to health and social capital, and how spatial dispersion is shaped by inclusiveness. His work emphasizes the historical and structural nature of family interdependencies. The most recent publications highlight trends in family ambivalence, conflict structures in older adults’ networks, spatial dispersion, and misleading social norms affecting life trajectories. His methodological contributions include optimizing sequence analysis techniques by borrowing from bioinformatics, enhancing the robustness of life course typologies. Scientific contributions include: Development of the Family Network Method (FNM) Advancement of configurational theory in family sociology Innovations in multichannel sequence analysis Typologies of male and female life trajectories Analysis of vulnerability and social norms across the life course Widmer has supervised and collaborated with numerous researchers across Europe, contributing to major publications and collective volumes. His work is supported by Swiss and European research networks. He has not disclosed specific grants, but his involvement with LIVES and the Swiss Household Panel indicates institutional funding. He is actively involved in research teams focusing on life course analysis, family configurations, and mental health trajectories. His lab-like collaborations include the Pavie group and interdisciplinary teams with bioinformaticians and statisticians, emphasizing methodological rigor and theoretical innovation.

Martin E. Müllerمشاهده پروفایل

استاد

• Algebraic Logic
• Modal Logic
• Relational Algebra
• +۷ مورد دیگر

Prof. Dr. Martin E. Müller is a Professor in the Department of Computer Science at Bonn-Rhein-Sieg University of Applied Sciences, specializing in the mathematical and theoretical foundations of informatics. His research bridges abstract algebraic structures with practical computational applications, particularly in knowledge representation and reasoning systems. Dr. Müller's primary research interests include Algebraic Logic , Modal Logic , Relational Algebra , Universal Algebra , and Logic Knowledge Discovery (also known as explainable machine learning). His work demonstrates how theoretical mathematical frameworks can provide robust foundations for practical computational problems, particularly in the areas of rough set theory, formal concept analysis, and inductive logic programming. He approaches machine learning through logical structures, emphasizing transparency and explainability in AI systems. Analysis of his publication record shows a consistent scholarly trajectory from 1994 through 2023, with increasing emphasis on applying formal logical methods to contemporary machine learning challenges. His work spans theoretical foundations of computing, relational methods in program semantics, and practical applications in user modeling and knowledge discovery. Recent publications demonstrate growing interest in making machine learning more interpretable through logical frameworks. Among his professional recognitions is the Seahorse award from 1975 . Dr. Müller serves as a reviewer for numerous academic journals and conferences and is an active member of several professional associations in computer science and logic. Dr. Müller has led significant research projects including PARIA (2004-2008), which developed the PACME architecture for concurrent processes; Rela-X (2010-2019), which implemented libraries for efficient relation calculus with the R-Lang programming language; and the ongoing COMPARE project (2024-) focusing on pairwise multidimensional comparisons for survey analysis. His current work with the 'Sets, Structures, Semantics' project (2018-) aims to create a comprehensive resource on discrete mathematics and logics. His research group maintains strong international collaborations, particularly with researchers in the relational and algebraic methods community, including notable figures like Tony Hoare, Peter Höfner, Peter Jipsen, and Bernhard Möller. The Rela-X project established a productive student working group environment that produced both theoretical insights and practical software tools for relational calculus visualization.

Stephan Rinderknechtمشاهده پروفایل

استاد

• Mechatronic Systems
• Vehicle Systems
• Energy Systems
• +۱۰ مورد دیگر

Stephan Rinderknecht is a Professor for Mechatronic Systems in Mechanical Engineering at Technische Universität Darmstadt since 2009. His research focuses on Vehicle Systems Energy Systems Vibration Systems Robotics Finite Element Method (FEM) Multi-body Simulation (MBS) Hybrid and Electric Drives Rotor Dynamics Active Magnetic Bearings .

• Mechanism Design
• Game Theory
• Information Economics
• +۲ مورد دیگر

Prof. Dr. Andreas Kleiner is a Professor at the Department of Economics, University of Bonn, with affiliations to the Institute for Microeconomics, Hausdorff Center for Mathematics, ECONtribute, and CRC TR 224. His research bridges economic theory, game theory, and political science, focusing on mechanism design, information economics, and institutional decision-making. Kleiner's work centers on mechanism design , game theory , and political economy , with emphasis on voting systems, delegation models, and bargaining under asymmetric information. His research addresses fundamental questions about how institutions aggregate preferences, design incentives, and verify information in collective decision-making. His publications predominantly explore theoretical frameworks in microeconomics, featuring recurring themes: delegation mechanisms in multidimensional environments (2024-2025), voting theory robustness under incomplete information (2021-2023), and bargaining efficiency with veto players (2020-2021). Methodologically, he employs mathematical optimization, equilibrium analysis, and combinatorial geometry to solve economic design problems. Kleiner collaborates with interdisciplinary teams across the Hausdorff Center for Mathematics and CRC TR 224, contributing to advanced mathematical frameworks for economic applications. No awards or supervised students are documented in the provided text.

Patrick Ulrichمشاهده پروفایل

استاد

• Corporate Governance
• Strategic Management
• Risk Management
• +۷ مورد دیگر

Prof. Dr. habil. Patrick Ulrich is a Full Professor of Corporate Governance and Control at Aalen University since 2016, leading the Aalen Institute of Corporate Governance (AAUF). He serves as Deputy Dean and Vice Dean for Research at the Faculty of Business and Health, Dean of Studies for the International Business Administration (IBW) program, and a member of the university's Senate. He holds roles in numerous committees, including spokesperson for the doctoral committee of Research Unit I at the BW-CAR, and is a private lecturer at the University of Bamberg. His research focuses on corporate governance, mergers & acquisitions, family business management, digital transformation, and sustainability. He has published over 450 scientific works, delivered over 150 conference presentations, and secured significant third-party funding. His consulting experience spans startups, family businesses, and DAX corporations, with a focus on automotive, mechanical engineering, healthcare, and consumer goods industries. Prof. Ulrich teaches at institutions like the University of Bamberg, University of Siegen, and Lucerne University of Applied Sciences. He actively contributes to professional organizations such as the VHB and ICV, and serves on editorial boards for journals like the Journal of Risk, Fraud and Compliance (ZRFC) and Corporate Governance & Sustainability Review . His academic background includes a doctorate (2010) and habilitation (2015) in Business Administration from the University of Bamberg. He has held roles at Deloitte, Bosch Group, and the Fraunhofer Competence Center for Business Models in the Digital World, bridging academic and practical expertise in controlling and management. Key contributions include pioneering work on the GRC² (Governance, Risk, Compliance, and Controlling) framework, digital transformation in management processes, and sustainability reporting under the CSRD directive. He emphasizes family governance, operational excellence in family offices, and risk management in family enterprises.

Frauke Gerstenbergمشاهده پروفایل

پژوهشگر

• Early Childhood Education
• Inclusive Education
• Interprofessional Collaboration
• +۳ مورد دیگر

Frauke Gerstenberg is a Researcher affiliated with the Department of Aesthetic and Cultural Education at the Faculty of Social Work and Health, University of Applied Sciences Emden/Leer. Her academic background includes a Dr. phil. (2021) from the University of Hildesheim, an MA in Social Work and Pedagogy (2012) from Alice Salomon Hochschule Berlin, and a BA in Education (2009). She has extensive experience in early childhood education research, focusing on inclusive pedagogical practices, multiprofessional collaboration, and qualitative research methodologies. Her work emphasizes boundary-crossing teamwork, organizational frameworks in early childhood settings, and intercultural communication dynamics. Key professional roles include project leadership roles under Prof. Herrmann, participation in the Lyrikkritik Academy (2021), and memberships in ces e.V. and the DGfE Commission for Early Childhood Pedagogy. She co-founded the editorial team for the digital platform for research and case-oriented teaching in Lower Saxony’s Competence Center Early Childhood. Her research has addressed topics such as inclusive education in early childhood, multidisciplinary research methodologies, and the analysis of pedagogical team interactions. Awards include a summa cum laude doctoral degree from the University of Hildesheim. She teaches courses on communication in early childhood education, creative expression techniques, and qualitative research methods.

Anton Klimovskyمشاهده پروفایل

مدرس ارشد

• Probability Theory
• Stochastic Processes
• Statistical Mechanics of Disordered Systems
• +۷ مورد دیگر

Anton Klimovsky is a Senior Lecturer at the University of Würzburg since 2022, affiliated with the Applied Stochastics department. His career includes visiting professorships at the University of Stuttgart (2022) and the University of Bonn (2014), along with lecturing at the University of Duisburg-Essen (2013-2022). Education : Habilitation (2019), Ph.D. in Mathematics (2008, TU Berlin, advisor: Anton Bovier), M.Sc. in Applied Mathematics (2002, Kharkiv National University, advisor: Mariya Shcherbina). Klimovsky’s research focuses on stochastic models of complex systems , including statistical mechanics of disordered systems , range-free spin glasses , and stochastic processes on evolving networks . His work bridges high-level heuristic ideas from statistical physics (e.g., cavity method, renormalization group) with rigorous probabilistic techniques. The 15 most recent articles highlight his expertise in disordered systems , hierarchical structures , population genetics , and network dynamics . Key trends include analysis of phase transitions in branching Brownian motion, renormalization of Lambda-Cannings processes, and Gaussian fluctuation theory in random energy models. Scientific awards include the Marie Curie Intra-European Fellowship (2010-2012) DFG Ph.D. Fellowship (2003-2005) National Academy of Sciences of Ukraine Ph.D. Fellowship (2002-2003) He has held visiting positions at Leiden University , EURANDOM , and Technische Universität Berlin , and has taught courses on Stochastic Processes , Markov Chains , and Spin Glasses . His grants include DFG funding for stochastic processes on evolving networks (2019-2024) and collaborative projects on hierarchical self-organization (2020-2026).

Tobias Straußمشاهده پروفایل

مدرس

• Mathematics Education
• Historical Document Analysis
• Machine Learning
• +۵ مورد دیگر

Dr. Tobias Strauß is a Lecturer at the Institute of Mathematics, Faculty of Mathematics and Natural Sciences, University of Rostock. He teaches courses such as Elementary Algebra and Number Theory and Analytical Geometry, focusing on foundational mathematical concepts and their applications. His research interests span historical document analysis, machine learning, and neural networks, with a particular emphasis on handwritten text recognition (HTR) and computational solutions for cultural heritage digitization. He actively contributes to the Mathematics Society RHO eV, supporting students in mathematics competitions and enrichment programs. Dr. Strauß’s research combines computer vision and machine learning to address challenges in document analysis, including text line detection, cursive script recognition, and keyword search in historical manuscripts. His work also explores semi-supervised learning techniques and neural network architectures tailored for HTR tasks. Through RHO eV, he promotes mathematics education through weekend seminars, district clubs, and game-based learning activities, fostering student engagement and problem-solving skills. His publications highlight advancements in HTR systems, such as the CITlab Recognition & Retrieval Engine, and address topics like regular expression-based decoding and Arabic handwriting recognition. These contributions underscore his expertise in bridging theoretical mathematics with practical applications in digital humanities and education. Dr. Strauß can be contacted via tobias.strauss@uni-rostock.de or through the university’s chat platform. No formal awards or grants are noted in the provided materials, though his involvement in international competitions (e.g., ICFHR, ICDAR) reflects his scholarly engagement.

Thomas Leopoldمشاهده پروفایل

استاد

• Social demography
• Family relations
• Quantitative methods
• +۴ مورد دیگر

Thomas Leopold is a Full Professor (W3) at the Institute for Sociology and Social Psychology, University of Cologne, within the Faculty of Management, Economics and Social Sciences (WiSo-Fakultät). His work bridges empirical social research with comparative studies of inequality, family dynamics, and health outcomes across life courses. PhD (Dr. rer. pol.), University of Bamberg, 2012 MA in Sociology, University of Bamberg, 2008 Leopold’s research integrates social demography, quantitative methodology, and family sociology. He investigates life course inequalities, health stratification, and gender dynamics in domestic labor, employing advanced statistical techniques for longitudinal and comparative analyses. His publications reveal trends in gender equity in housework, post-divorce vulnerability patterns, family health transmission mechanisms, and life course transitions. Articles frequently apply cohort sequence designs, mediation analysis, and matching methods to address causal social processes. Max Weber Postdoctoral Fellowship, European University Institute (2012–2013) He leads the ERC-funded KINMATRIX project (2020–2025) on European family solidarity structures and co-investigates cross-national life course inequality frameworks like CRITEVENTS and EQUALLIVES. His work appears in top journals including Demography , Journal of Marriage and Family , and Sociological Science .

Carolyn Moserمشاهده پروفایل

استاد پژوهشی

• EU Law
• Security and Defense in Europe
• International Law
• +۳ مورد دیگر

Dr. Carolyn Moser serves as Max Planck Research Group Leader (W2) at the Max Planck Institute for Comparative Public Law and International Law in Heidelberg, Germany. She helms the interdisciplinary ENSURE (European Security Revisited) research group and held the Alfred Grosser Chair at Sciences Po Paris (2023-24). Her work bridges international law, European governance, and security policy with particular emphasis on post-Ukraine geopolitical shifts and Franco-German dynamics. Trained in law and political science at Sciences Po Paris, Fletcher School, and Utrecht University 2022-2027: ENSURE research group leadership funded by Max Planck Society 2019-2022: Minerva Fast Track Fellowship and research at Hamburg Institute for European Integration Her research foci include: EU security governance and defense policy evolution International law applications in peace operations Constitutional responses to geopolitical crises Franco-German cooperation in security matters Accountability mechanisms in crisis management Scientific recognition includes: 2019 Otto Hahn Medal for outstanding interdisciplinary PhD thesis 2020 European Court of Auditors Award for public sector auditing research As editor of the Heidelberg Journal of International Law comment section and convener of academic events like the 2024 Verfassungsblog symposium on Europe’s geopolitical awakening, she shapes legal discourse through multiple platforms. Her teaching spans EU law at Trier University and international law seminars at Sciences Po Paris.

Sarah Depaoliمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Structural Equation Modeling
• Latent Variable Modeling
• +۵ مورد دیگر

Sarah Depaoli is Associate Professor of Quantitative Psychology at the University of California, Merced and Visiting Distinguished Professor at the Methods Center of the Eberhard Karls University of Tübingen . She specializes in Bayesian statistics, structural equation modeling, and mixture modeling with applications in psychological and health-related research. PhD in Quantitative Methods (minor in Mathematical Statistics), University of Wisconsin (2010) MA in Quantitative Psychology, California State University-Sacramento (2007) BA in Psychology, California State University-Sacramento (2003) Her research focuses on: Bayesian estimation of latent variable and growth models Prior distribution selection in small-sample research Measurement invariance testing across populations Development of guidelines for model transparency (WAMBS-checklist) Psychological and health outcome modeling with Bayesian methods The most recent articles demonstrate expertise in: Bayesian longitudinal analysis (CushingQoL interpretation differences) Latent class enumeration in growth mixture models ML vs Bayesian estimation comparisons Health psychological outcomes (PTSD, Quality of Life) Cross-cultural measurement invariance Statistical software implementation (JAGS, Mplus) Scientific awards include: 2015 Association for Psychological Science Rising Star 2013 Hellman Fellow 2011 APA Division 5 Distinguished Dissertation Multiple travel awards from Psychometric Society and SMEP She has advised numerous graduate students and served as Associate Editor for Psychological Methods , Multivariate Behavioral Research , and Journal of Royal Statistical Society, Series A .