جست‌وجوی استاد و پژوهشگر

Daniel Kasperمشاهده پروفایل

پژوهشگر

• Evaluation of Education Systems
• Primary School Research
• Educational Disparities
• +۴ مورد دیگر

Daniel Kasper is a researcher at the University of Hamburg's Faculty of Education, specializing in Educational Science with a focus on International Educational Monitoring and Reporting. He currently serves as the National Project Manager for TIMSS 2027, continuing his leadership role from previous TIMSS cycles (2023, 2019). His work centers on large-scale educational assessments, statistical methodology, and primary education research. Dr. Kasper completed his Habilitation in Educational Science with special consideration of empirical educational research at TU Dortmund (2012-2020), followed by his PhD in Educational Science at the same institution (2010-2012). He earned his Diploma in Educational Science from the University of Münster (2001-2007). His research interests span evaluation of education systems, primary school research, educational disparities, and advanced statistical methods in education. He has developed significant expertise in TIMSS methodology, multilevel modeling, and analysis of large-scale assessment data, with numerous publications addressing methodological challenges in international comparative studies. Analysis of his 15 most recent publications reveals a strong focus on TIMSS methodology and results, particularly regarding mathematics and science competencies in primary education. His work demonstrates expertise in statistical methodology for educational assessment, with several publications developing and refining analytical techniques for large-scale data. A recurring theme is examining educational disparities related to student composition, socioeconomic factors, and gender differences. Dr. Kasper has served as National Project Manager for multiple TIMSS cycles (2019, 2023, 2027) and has been involved in PIRLS studies, demonstrating sustained leadership in major international educational assessments. His work bridges methodological innovation with practical application in educational monitoring. He teaches courses across all academic levels, including 'Introduction to Empirical Research Methods' for Bachelor students, 'Methods of Empirical Educational Research' for Master students, and advanced workshops on longitudinal scaling and the Rasch model for doctoral candidates. His teaching reflects his dual expertise in educational research methodology and statistical analysis.

Florian Diekertمشاهده پروفایل

استاد

• Environmental Economics
• Resource Economics
• Socio-ecological Systems
• +۷ مورد دیگر

Professor Florian Diekert is a Professor of Environmental Economics at the University of Augsburg's Faculty of Business and Economics and a member of the Centre for Climate Resilience. He leads the Environmental Economics Lab, which focuses on designing, analyzing and testing strategies for sustainable and resilient development, with particular emphasis on socio-ecological systems under pressure and group decisions under strategic and natural uncertainty. Professor Diekert received his education from the Technical University Dresden (International Relations) and the University of Oslo (MPhil in Economics, PhD in Economics in 2011). His research employs economic experiments, theoretical modeling, and statistical analysis, often in interdisciplinary collaborations with natural scientists. Prior to joining the University of Augsburg in 2023, he was a Junior Professor in Heidelberg and conducted research visits at Columbia University and UC Santa Barbara. His research spans Environmental Economics , Resource Economics , and Behavioral Economics , with specific focus on socio-ecological systems, group decision-making under uncertainty, lab-in-the-field experiments, social norms, and early warning systems for ecological tipping points. His work integrates theoretical insights with practical applications for sustainable development policy, often through interdisciplinary collaborations with natural scientists. Professor Diekert's publication record reveals a consistent trajectory of high-impact research on climate resilience, fisheries management, and collective action problems. His recent work increasingly incorporates experimental methods to investigate how environmental conditions shape economic behavior across different cultural contexts (Chile, Norway, Tanzania), and how policy interventions can improve sustainability outcomes through behavioral insights. ERC Starting Grant 'NATCOOP' for research on how nature shapes preferences and incentives of economic agents and how this affects common-pool resource management Professor Diekert advises multiple doctoral students and leads a vibrant research team including postdoctoral researchers and doctoral candidates. His Environmental Economics Lab actively participates in major international conferences such as the Global Tipping Points Conference, Nordic Annual Environmental and Resource Economics Workshop, and European Association of Environmental and Resource Economists conference, demonstrating strong international engagement in his field. The Environmental Economics Lab at the University of Augsburg brings together economists, natural scientists, and policy experts to address pressing sustainability challenges through interdisciplinary research. The lab conducts both theoretical and experimental work, with field studies in various international contexts including Chile and Tanzania, and maintains strong connections with other research institutions across Europe and beyond.

Barbara Sophie Hänel-Faulhaberمشاهده پروفایل

استاد

• German Sign Language (DGS)
• Language Acquisition in Hearing-Impaired Children
• Inclusive Education
• +۵ مورد دیگر

Prof. Dr. Barbara Sophie Hänel-Faulhaber is a Professor at the University of Hamburg’s Faculty of Education , specializing in German Sign Language (DGS) and audiopedagogy . Her research focuses on language acquisition and processing in DGS , particularly among deaf children and inclusive educational settings . She leads the Deafness, Language and Learning Lab (D2L) and contributes to the faculty’s core research area Literacy in Diversity Settings . Education: Dr. phil. in Sign Languages (University of Hamburg, 1999–2003) Magister Artium in Sign Languages, Linguistics (University of Hamburg, 1996–1999) Double Degree in Deaf Education, Elementary Education (LMU Munich, 1992–1996) Her work examines bimodal-bilingual education , iconicity in early sign learning , and structural conditions in inclusive daycare centers . She develops diagnostic tools like the DGS-Version of MBK 0 for assessing numerical competencies in deaf children. Current projects include Coactivation of Difference (2023–2026) and Sign4Inclusion (Math) (2023–2024). Scientific Awards: Institutional Prize for German Language 2023 Heinrich Böll Stiftung Promotionsstipendium (1999–2003) Wilhelm-Stiftung Post Doc Fellowship (2005) She collaborates with institutions like the Institute of German Sign Language and Deaf Communication and the Graduate School Martha Muchow , with recent publications spanning sign language diagnostics , inclusive pedagogy , and cross-modal literacy studies .

• Non-Financial Risks
• User-Generated Content
• Search Engine Analytics
• +۷ مورد دیگر

Prof. Gabriela Alves Werb, Ph.D. is a faculty member affiliated with the Bundesbank Research Data and Service Centre (RDSC) and holds her academic background from Johann Wolfgang Goethe University Frankfurt am Main. Her research spans interdisciplinary areas at the intersection of finance, machine learning, and digital economy, with a focus on non-financial risks and search engine analytics. Education: Doctoral Dissertation (2020), Goethe-Universität Frankfurt Research Interests include machine learning applications in financial risk assessment, user-generated content analysis, and digital marketplace dynamics. Her work bridges computational methods with economic policy challenges. Recent Publications highlight trends in climate-related financial data, predictive modeling in marketing, and the economic implications of search engine visibility. Key subfields span ESG investing, SEO vulnerability, and digital risk assessment.

Miren Azkarate-Askasuaمشاهده پروفایل

استادیار

• Macroeconomics
• Labor Economics
• Inequality Measurement
• +۱ مورد دیگر

Miren Azkarate-Askasua is an Assistant Professor of Economics at the University of Mannheim. Her work bridges Macroeconomics and Labor Economics, focusing on labor market power, worker mobility, and inequality measurement. Education: Ph.D. in Economics, Toulouse School of Economics (2020) Prior Role: Max Weber Fellow in Economics, European University Institute (Italy) Research Interests: She investigates labor market dynamics, including the impact of firm power on wages and employment, human capital development, and inequality metrics. Her recent publications highlight labor market heterogeneity and methodological advancements in econometric models. Scientific Awards: Max Weber Fellow in Economics Contact: Email azkarate-askasua@uni-mannheim.de or visit her personal webpage at www.vwl.uni-mannheim.de/en/azkarate-askasua.

• Wireless Communications
• 5G/6G Networks
• Non-Orthogonal Multiple Access (NOMA)
• +۸ مورد دیگر

Leila Musavian is a Professor of Wireless Communications at the University of Surrey's Department of Electrical and Electronic Engineering within the Faculty of Engineering and Physical Sciences. She is a leading researcher in next-generation wireless communication systems with a focus on 5G/6G technologies, particularly in the areas of non-orthogonal multiple access (NOMA), energy harvesting communications, physical layer network coding, and ultra-reliable low-latency communications (uRLLC). Her research has significant implications for vehicular networks, IoT applications, and future wireless infrastructure. Her research interests span multiple critical areas of modern wireless communications, including energy-efficient resource allocation, security in wireless networks, massive MIMO systems, and reconfigurable intelligent surfaces. She has pioneered work on the performance analysis of NOMA systems under statistical quality of service constraints, which has become increasingly important for emerging applications requiring ultra-reliable and low-latency communications. Her research bridges theoretical foundations with practical implementations, often incorporating machine learning techniques for optimization of wireless networks. Her publication portfolio shows a clear evolution toward cutting-edge topics in wireless communications, with recent focus on holographic beamforming via dynamic metasurface antennas, robotic wireless energy transfer, and deep reinforcement learning applications for vehicular optical camera communications. These works demonstrate her ability to identify and address emerging challenges in next-generation wireless systems, particularly those related to 6G technologies and beyond. Professor Musavian has successfully supervised numerous PhD students who have gone on to become active researchers in the field, with many continuing to collaborate with her on cutting-edge projects. Her research has been supported by significant grants from national and international funding bodies, though specific grant details are not visible in the current dataset.

Daniel Hanusمشاهده پروفایل

پژوهشگر

• Physical cognition
• Causal understanding and reasoning
• Visual and memory illusions
• +۵ مورد دیگر

Daniel Hanus is a Researcher at the Max Planck Institute for Evolutionary Anthropology in the Department of Comparative Cultural Psychology . He coordinates the Wolfgang Köhler Primate Research Center and Global Primate Study Network, with over 15 years of experience in African chimpanzee sanctuaries. His work spans Physical cognition Causal understanding Visual illusions Numerical competence Meta-cognition research in human and non-human primates. As an International Primatological Society member and ad hoc reviewer for journals like Animal Behaviour and Science , he contributes to methodological advancements. He teaches at the University of Leipzig and has held visiting positions at Free University Berlin and University of Tübingen. Hanus's research combines fieldwork at chimpanzee sanctuaries with controlled experiments to explore cognitive evolution. His 2025 publications in Nature Communications and Animal Behaviour examine neural precursors of language and social attention mechanisms, while 2023 work in Nature Ecology & Evolution reveals cognitive stability across primate development. 2009 Poster Competition Winner, Workshop on Cognition and Evolution, Rovereto 2003 Poster Competition Winner, German Primatological Society, Leipzig He coordinates research collaborations with Chimfunshi (Zambia) Tacugama (Sierra Leone) LCRP (Liberia) sanctuaries and maintains active research stays at Ngamba Island (Uganda) and Tchimpounga (Congo). Fluency in German, English, and French supports cross-cultural research initiatives.

• Higher Education Research
• Student Motivation
• Academic Dropout
• +۷ مورد دیگر

Markus Rump, M.Sc., is a Researcher and Research Assistant at Bielefeld University, affiliated with the Faculty of Economics, the Department of Management Science & Business Analytics, and the Chair of Business Administration, specifically in Marketing, under Prof. Dr. Decker. He also holds institutional roles in research data management at the Competence Center for Research Data, Bielefeld IT Service Center (FDM Team), and the Bielefeld Center for Data Science (BiCDaS), reflecting his interdisciplinary engagement in data infrastructure and digital scholarship. Faculty of Economics Department of Management Science & Business Analytics Chair of Business Administration, esp. Marketing Competence Center for Research Data Bielefeld Center for Data Science (BiCDaS) His research spans two primary domains: higher education and marketing. In higher education, he investigates student motivation, academic dropout, dispositional traits (optimism/pessimism), and heterogeneity in learning environments, often in collaboration with Wiebke Esdar and Elke Wild. In marketing, his work focuses on customer experience, branding, voice assistants, and brand selfies, frequently co-authored with Reinhold Decker. These interests reflect a strong interdisciplinary profile bridging psychology, education, and business. His recent publications (2016–2023) show a consistent output in both peer-reviewed journals and conference venues. Themes include the impact of voice assistants on customer experience, motivations behind brand selfies, and structural models analyzing early college dropout. The research employs quantitative methods and surveys, contributing to both theoretical understanding and practical applications in education and marketing. Markus Rump has no listed scientific awards in the provided texts. He is actively involved in research projects such as HeLGA (Heterogeneity-Oriented Teaching), focusing on conditions for successful teaching in diverse student populations. While no formal students or grants are explicitly mentioned, his role in large-scale research suggests collaborative supervision and project-based funding. He contributes significantly to research data management, supporting institutional data governance and digital research practices.

• Statistical Relational Learning
• Machine Learning
• Probabilistic Graphical Models
• +۵ مورد دیگر

Lise Getoor is a Professor in the Department of Computer Science at the University of California, Santa Cruz, within the Baskin School of Engineering. She previously held positions at the University of Maryland, College Park and has established herself as a leading researcher in statistical relational learning and neuro-symbolic artificial intelligence. Her research focuses on developing principled approaches to reasoning and learning with rich, relational data. She has made significant contributions to probabilistic soft logic, statistical relational learning, knowledge graph construction, and the integration of symbolic and neural approaches to AI. Her work bridges theoretical foundations with practical applications in areas including social network analysis, sustainable recommendations, cyberbullying detection, and fair machine learning systems. Analysis of her recent publications reveals a strong trend toward neuro-symbolic integration, with increasing focus on combining neural networks with logical reasoning frameworks. Her research demonstrates consistent innovation in developing scalable algorithms for structured prediction across diverse application domains while addressing critical issues of fairness and interpretability in AI systems. Professor Getoor has advised numerous PhD students who have become active contributors to the field, including Connor Pryor, Charles Dickens, Eriq Augustine, and Varun Embar. Her research has been supported by multiple grants from major funding agencies, though specific details aren't provided in the current data. She leads research in the Statistical Relational AI (StaRAI) Lab at UC Santa Cruz, where her team develops frameworks that combine logical reasoning with probabilistic modeling to address complex real-world problems requiring both structured knowledge and statistical learning.

Siegfried Nijssenمشاهده پروفایل

استادیار

• Data Mining
• Pattern Mining
• Exploratory Data Analysis
• +۵ مورد دیگر

Siegfried Nijssen is an Assistant Professor of Data Mining and Artificial Intelligence at the Catholic University of Louvain (UCLouvain) in Belgium, working within the ICTEAM research institute's Artificial Intelligence and Algorithms group. He has been at UCLouvain since 2016, previously serving as an Assistant Professor at University Leiden (2012-2016) and completing postdoctoral work at KU Leuven (2006-2015). He earned his PhD in Computer Science from University Leiden in 2006. His research focuses on making data analysis simpler through intersections between pattern mining, exploratory data analysis, and programming paradigms in Artificial Intelligence, particularly constraint programming and probabilistic programming. He has developed techniques for analyzing diverse data types including graphs, networks, and multi-relational data. His work bridges theoretical foundations with practical applications in decision tree learning, probabilistic networks, and source code analysis. Nijssen's recent publications demonstrate a strong focus on optimal decision trees, constraint-based pattern mining, and applications in bioinformatics and education. His research shows consistent evolution from foundational graph mining work (including the Gaston algorithm developed in 2004) to current work integrating machine learning with constraint programming for interpretable AI solutions. As an educator, he teaches courses including Mining Patterns in Data, Databases, and Artificial Intelligence and Machine Learning seminars at UCLouvain. He has advised numerous PhD students and postdocs, primarily in collaboration with Pierre Schaus, with former students like Tias Guns now holding professorships.

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

Frederik Trinkmannمشاهده پروفایل

استاد

• Internal Medicine
• Pulmonology
• Respiratory Medicine
• +۵ مورد دیگر

Prof. Dr. med. Frederik Trinkmann serves as Head of the Asthma Outpatient Clinic and Managing Senior Physician in Pneumology and Respiratory Medicine at Thoraxklinik Heidelberg. He holds academic appointments at Universitätsmedizin Mannheim and Universität Heidelberg, where he leads pulmonary research initiatives. His research spans Internal Medicine , Pulmonology , and Respiratory Medicine , with a focus on Small airway dysfunction in asthma/COPD Cardiopulmonary risk in chronic lung diseases Smoking-related respiratory effects Post-COVID lung sequelae Bioinformatics in pulmonary diagnostics His work has been recognized with multiple scientific awards, including the Kurt und Erika Palm-Stiftung Science Prize (2nd Place) and DGIM Poster Award . Key publications highlight trends in Advanced oscillometry for small airway assessment Sex-specific differences in weaning outcomes Real-world effectiveness of triple inhalation therapies Cytokine profiling in respiratory inflammation Machine learning for lung function diagnostics He actively contributes to clinical guidelines including the Ers-Deutschland S2k-Leitlinie for cough diagnosis . Scientific Collaborations: Principal Investigator, German Center for Lung Research (DZL) Leadership, Translational Research Section at Universitätsmedizin Mannheim Cooperation with European Respiratory Society (ERS)

Maria-Rosa Cioniمشاهده پروفایل

استاد

• Stellar Populations
• Dwarf Galaxies
• Magellanic Clouds
• +۴ مورد دیگر

Prof. Maria-Rosa Cioni is a joint professor at the University of Potsdam and the Leibniz Institute for Astrophysics Potsdam (AIP). As a leading observational astronomer, her research focuses on the formation and evolution of dwarf galaxies, particularly the Magellanic Clouds. She leads major surveys including the VISTA Magellanic Cloud Survey (VMC) and the 1001MC survey within the 4MOST consortium. Her academic journey includes a PhD from Leiden Observatory (2001), postdoctoral positions at ESO and the University of Edinburgh, and prestigious fellowships like the Humboldt and DAAD awards. She currently holds the position of Section Head at AIP and has secured significant funding through an ERC Consolidator Grant (2016). Education: BSc in Astronomy, University of Bologna (1996) PhD in Astronomy, Leiden Observatory (2001) Professional History: ESO Fellow (2001–2005) Lecturer, University of Edinburgh (2005–2007) Senior Lecturer/Reader, University of Hertfordshire (2007–2010) Humboldt Fellowship (2010), DAAD Visiting Professorship (2010–2016) Her research emphasizes stellar populations and the interplay between dwarf galaxies and the Milky Way's halo. Recent work uses machine learning for source classification and Gaia data for dynamical modeling. She collaborates widely on projects like Euclid and SDSS-V, advancing survey techniques and galactic archaeology. Awards: ERC Consolidator Grant (2016), Humboldt Fellowship (2010), DAAD Visiting Professorship Grants & Funding: ERC Consolidator Grant supporting her research group since 2016 Prof. Cioni's lab contributes to cutting-edge facilities like the VISTA telescope and the upcoming Euclid mission. She actively mentors students and leads international collaborations to unravel the cosmic history of dwarf galaxies and their role in galaxy evolution.

Thomas A. Runklerمشاهده پروفایل

استاد مدعو

• Machine Learning
• Data Analytics
• Pattern Recognition
• +۳ مورد دیگر

Thomas A. Runkler is an Adjunct Professor at the Technical University of Munich (TUM), holding a Chair in the Foundations of Software Reliability and Theoretical Computer Science within the TUM School of Computation, Information and Technology. Since 1999, he has taught computer science at TUM while concurrently serving in various expert and managerial roles at Siemens AG, where he currently holds the position of Senior Principal Research Scientist. His academic journey includes a Master’s and PhD in electrical engineering from TU Darmstadt (1992/1995), followed by postdoctoral research at the University of West Florida (1996–1997). Runkler’s research spans machine learning , data analytics , fuzzy systems , and optimization . He has authored/co-authored over 200 publications, focusing on topics like clustering algorithms, neural networks, and decision-making frameworks. Professional contributions include leadership roles in organizations such as the IEEE CIS committees and the German Association for Computer Science’s Fuzzy Systems group. His teaching includes courses on Data Mining and Knowledge Discovery . Key publications include foundational works on fuzzy preference structures, Bayesian decomposition of dynamical systems, and interpretable reinforcement learning policies. Runkler’s work bridges academia and industry, emphasizing practical applications in automation, recommendation systems, and industrial procurement forecasting. His research often addresses challenges in uncertainty handling, algorithm design, and scalable data analysis.

Joachim Mesterمشاهده پروفایل

استاد

• Exercise Physiology
• Athletic Training
• Sports Performance
• +۹ مورد دیگر

Joachim Mester is a full Professor at the German Sport University Cologne, affiliated with the German Research Center for Competitive Sports and the Department of Performance Physiology. His research is centered on athletic training, exercise physiology, and biomechanics, with a strong focus on elite athlete performance, metabolic profiling, and training load monitoring. Institution: German Sport University Cologne School: The German Research Center for Competitive Sports Department: Department of Performance Physiology Academic Rank: Professor Email: master@dshs-koeln.de His research interests include exercise physiology, strength and conditioning, youth athlete development, and the application of machine learning in sports science. He has led numerous research projects on elite athletes across various sports, including soccer, gymnastics, triathlon, and hockey, as well as occupational fitness studies for police personnel. The recent publications highlight a strong trend in integrating conventional physiological assessments with advanced data analytics and machine learning to profile elite youth athletes, particularly in soccer. Other key research areas include hypoxia-induced physiological responses, angiogenic biomarker regulation, and physical fitness differences related to body height in occupational settings like police service. While no specific scientific awards are listed in the provided text, his extensive publication record and leadership in funded research projects underscore significant scholarly contributions. Professor Mester supervises and collaborates with a wide network of researchers, including Patrick Wahl, Michael Behringer, and Markus de Marées. He has been involved in both self-funded and externally funded research initiatives, such as studies on training intensity in triathletes and recovery management in elite hockey players using cold water immersion. He is actively involved in research labs and teams focused on performance physiology and sports informatics, contributing to both fundamental and applied research in competitive sports. His work bridges laboratory findings with real-world athletic and occupational performance enhancement.