جست‌وجوی استاد و پژوهشگر

Paul Gölzمشاهده پروفایل

استادیار

• Social Choice Theory
• Algorithmic Fairness
• AI Ethics
• +۳ مورد دیگر

Paul Gölz is an Assistant Professor at Cornell University's School of Operations Research and Information Engineering (ORIE), with affiliations in Computer Science. His research focuses on computational social choice, algorithmic fairness, and AI ethics, addressing topics like democratic innovation, fair resource allocation, and AI systems for diverse users. Education: Undergraduate studies at Saarland University (Germany), PhD in Computer Science from Carnegie Mellon University, followed by postdoctoral research at Harvard University, UC Berkeley, and the Simons Laufer Mathematical Sciences Institute. His work has been recognized with awards including the JPMorgan Chase AI Research Fellowship (2021) and honorable mentions for prestigious dissertation awards (Dantzig and ACM SIGecom). Research Highlights : Developed Panelot, a tool for selecting citizens' assemblies using state-of-the-art algorithms. His work on fair refugee resettlement and apportionment methods has been featured in Operations Research and Nature . Recent projects include AI alignment distortion analysis and generative social choice mechanisms. Teaching : Teaches Optimized Democracy (Spring 2025) and Mathematical Programming (Fall 2024). Supervises PhD students in ORIE, focusing on interdisciplinary applications of optimization and social choice. Awards & Grants : Received a $40K Structural Democracy Fellowship (Crankstart) and an OpenAI grant for Democratic Inputs to AI. Active in policy briefs (e.g., mini-public selection strategies). Labs/Tools : Co-developed Panelot.org , a nonprofit platform for fair citizen assembly selection. Active in open-source tool development for social choice applications.

Harald Tauchmannمشاهده پروفایل

استاد

• Health Economics
• Empirical Health Economics
• Health Insurance
• +۳ مورد دیگر

Prof. Dr. Harald Tauchmann is a Professor of Health Economics at Friedrich-Alexander University Erlangen-Nuremberg (FAU), where he has held a faculty position since 2013. He is affiliated with the School of Business, Economics and Social Sciences, specifically within the Department of Economics. Prof. Tauchmann also participates in multiple research focus areas at FAU, including 'Insurance and Risk' and 'Work in Transition,' demonstrating his interdisciplinary approach to health economics. Prof. Tauchmann received his education at Heidelberg University and the University of Manchester, UK, where he studied economics, political science, and sociology. He graduated in 1998 and completed his doctorate at the Interdisciplinary Institute for Environmental Economics (University of Heidelberg) in 2003. Prior to joining FAU, he worked as a research associate at the Rhineland-Westphalian Institute for Economic Research (RWI) in Essen from 2003 to 2012 and headed a junior research group at the health economics research center CINCH at the University of Duisburg-Essen. His research expertise lies in empirical health economics, with a particular emphasis on health insurance choice and competition, as well as individual health behavior. He has made significant contributions to understanding obesity, health shocks, mental health care payment systems, and thyroid diagnostics through his extensive publication record. His methodological work includes developing specialized Stata modules for econometric analysis, which have been widely adopted by researchers in the field. Prof. Tauchmann's scholarly work demonstrates a consistent focus on applying rigorous econometric methods to pressing health policy questions. His research portfolio shows particular strength in causal analysis of health behavior, especially regarding obesity interventions, health insurance market dynamics, and the economic consequences of health shocks. His recent publications (including several forthcoming in 2025) indicate continued scholarly productivity and relevance to current health policy debates. From March 2021 to April 2022, Prof. Tauchmann served as chairman of the German Society for Health Economics, highlighting his leadership and recognition within the national health economics community. His email contact is harald.tauchmann@fau.de for professional inquiries.

Gregory D. Erhardtمشاهده پروفایل

دانشیار

• Transportation Engineering
• Urban Planning
• Traffic Forecasting
• +۴ مورد دیگر

Gregory D. Erhardt is an Associate Professor of Civil Engineering at the University of Kentucky and serves as Associate Director of the T-SCORE Center, a multi-university consortium advancing public transit strategies. He holds a PhD from University College London’s Centre for Advanced Spatial Analysis, with prior experience in transportation planning across public and private sectors. His research focuses on transportation forecasting, big data applications, and evidence-based policy decisions, particularly addressing the impacts of emerging mobility technologies like ride-hailing on urban systems. Erhardt’s work emphasizes improving forecast accuracy and advocating for gender equity in engineering. He has been recognized with awards such as the Transportation Research Board’s Certificate of Appreciation and the Chan Wui & Yunyin Rising Star Fellowship. Education: PhD (University College London), M.S. (Northwestern University), B.S. (Cornell University). His research integrates activity-based travel models with big data to evaluate infrastructure investments and mobility trends. Key projects include analyzing public transit ridership decline, ride-hailing effects on congestion, and TNC impacts on urban transportation systems. Current initiatives include developing multi-agent simulation frameworks for on-demand transit systems. As a Hans Fischer Senior Fellow at the TUM Institute for Advanced Study, he collaborates on travel behavior modeling. His advocacy for diversity includes leading 'Advocates and Allies' training to promote gender equity in engineering. Erhardt’s publications span journals like Transportation Research Part A and Science Advances , with a focus on policy-relevant transportation analytics.

Ralph Luettickeمشاهده پروفایل

استاد

• Macroeconomics
• Fiscal Policy
• Monetary Policy
• +۳ مورد دیگر

Ralph Luetticke is a Professor of Economics at the University of Tübingen, affiliated with the Centre for Economic Policy Research and the Stone Centre on Wealth Concentration at University College London. His research focuses on fiscal/monetary policy, business cycles, and computational methods, emphasizing household heterogeneity. Key contributions include analyzing liquidity channels of fiscal policy, military multipliers, and unconventional policy shocks. Recent work explores military spending multipliers, endogenous gridpoint methods for distributional dynamics, and the distributional impacts of monetary policy. His 2023 ERC Starting Grant ('AIRMAC') supports research into aggregate uncertainty in business cycles. Teaching includes advanced macroeconomics courses at UCL and Tübingen, emphasizing HANK models and policy analysis. Scientific awards include the ERC Starting Grant (2023). Research tools developed include the BASE for HANK toolbox (Julia) and open-source codes for heterogeneous agent modeling. His work bridges theoretical macroeconomics with empirical policy analysis, addressing modern challenges like inequality and pandemic stimulus effectiveness.

Dubravko Radicمشاهده پروفایل

استاد

• Service Management
• Price Management
• Applied Microeconometrics
• +۵ مورد دیگر

Dubravko Radic serves as Professor of Service Management at the University of Leipzig's Faculty of Business and Economics since 2009, while simultaneously holding the position of Deputy Head of the Price and Service Management group at the Fraunhofer Center for International Management and Knowledge Economics IMW since 2013. His academic career spans multiple institutions including the University of Wuppertal where he completed his habilitation, and the University of Frankfurt am Main where he earned his doctorate in statistics and econometrics. Doctorate (Dr. rer. pol. summa cum laude): Johann Wolfgang Goethe-Universität Frankfurt a.M. (2004) Habilitation: Bergische Universität Wuppertal (2009) Diplom-Volkswirt: Johann Wolfgang Goethe-Universität Frankfurt a.M. (1999) Research Stay: University of California Davis (2008) Professor Radic's research centers on the intersection of empirical methods and business management, with particular emphasis on service pricing modeling, applied microeconometrics, and social interactions in service contexts. His work bridges theoretical econometric approaches with practical business applications, especially in the healthcare sector where he has led multiple Fraunhofer IMW projects including ASARob, NurMut, and ATMoSPHÄRE. His research methodology combines quantitative modeling with real-world case studies to address strategic and operational decisions in service organizations. His recent publications demonstrate a consistent focus on discrete choice modeling, game theory applications in marketing, and service innovation frameworks. The 2025 paper "Discrete Games in Marketing Research" presented at the Global Marketing Conference in Hong Kong exemplifies his approach of applying advanced econometric techniques to practical marketing problems, particularly in digital service contexts. His work shows an evolving trajectory from foundational service management concepts toward increasingly sophisticated modeling of strategic interactions in service markets. Professor Radic has extensive experience advising major corporations including Metro AG, Lilly Deutschland, IMS Health, Berlin Chemie, and Augustinum gGmbH. His practical projects at Fraunhofer IMW focus on translating academic research into actionable business solutions, particularly in healthcare digitization and service innovation. He has led the TRAIN@MINE project developing training tools for Vietnam's mining sector and contributed to studies on Big Data applications in health insurance. At the University of Leipzig, he leads research activities through the Institute for Service and Relationship Management, supervising multiple research projects that connect academic inquiry with industry applications. His team collaborates with international partners including the University of California Davis, University of Maryland, Northwestern University, and the Technion Israel Institute of Technology, creating a robust research ecosystem focused on service management innovation.

• Computer Science
• Machine Learning
• Data Science
• +۴ مورد دیگر

Yong Zhang is affiliated with Tsinghua University's Research Institute of Information Technology in Beijing, China. His research focuses on machine learning, optimization algorithms, edge computing, and their applications in areas like time series analysis, federated learning, and sensor networks. He has collaborated on projects involving neural networks, scheduling problems, and privacy-preserving techniques. Education: Yong Zhang earned a PhD in Computer Science and Engineering from Fudan University in 2007. His academic career includes roles at institutions like the Chinese Academy of Sciences and the University of Hong Kong, reflecting a strong interdisciplinary background. Research Contributions: His work spans theoretical computer science, algorithm design, and applied machine learning. Notable areas include developing efficient scheduling algorithms for energy systems, creating robust federated learning frameworks for industrial demand forecasting, and advancing methods for sentiment analysis using multimodal data. He has also contributed to biomedical engineering through smartphone-based health monitoring systems. Collaborations: He frequently collaborates with researchers at institutions like the University of Electronic Science and Technology of China, Nanyang Technological University, and The Hong Kong Polytechnic University. Key projects involve data caching optimization in edge computing, distributed algorithms for dynamic networks, and combinatorial optimization problems. Labs & Future Work: His team explores cutting-edge topics in AI-driven systems, including trust-aware machine learning, distributed resource allocation, and real-time data processing for IoT applications. Current research emphasizes scalable solutions for complex optimization challenges in both academic and industrial settings.

• Organizational Economics
• Theory of the Firm
• Corporate Governance
• +۴ مورد دیگر

Prof. Dr. rer. pol. Bernd Frick is a full Professor of Economics at the University of Paderborn , Faculty of Business Administration and Economics, where he heads the Department of Economics – Institute Department 1: Management. Active and born in 1959, he is based in Paderborn, Germany, and his research spans Organizational Economics , Corporate Governance , Personnel Economics , Law & Economics , and Sports & Cultural Economics . Education & Academic Focus: Although specific degrees are not listed, his title "Dr. rer. pol." (Doctor of Economics and Social Sciences) indicates advanced training in economics. His work integrates microeconomic theory with empirical analysis, focusing on labor markets, firm governance, and the economics of professional sports. Research Interests: Organizational Economics & Theory of the Firm: Analyzing internal labor markets, co-determination, and governance structures. Personnel Economics & Labor Policy: Examining incentive systems, wage determination, and employment practices. Sports Economics: Extensive studies on player remuneration, coaching careers, doping, and the economic impact of regulations like the Bosman ruling. Law & Economics: Evaluating the economic effects of legal frameworks, including disability employment laws and co-determination statutes. Cultural Economics: Investigating art markets, reputation, and value creation in creative industries. Publication Trends: Over 100 peer-reviewed articles and monographs reveal a consistent focus on empirical sports economics (e.g., Bundesliga performance, marathon incentives), labor market institutions (works councils, co-determination), and governance issues. Recent work explores gender competitiveness in athletics and the longevity of coaching careers under performance pressure. Scientific Awards & Honors: While no major named awards are listed, his extensive publication record, editorship of academic volumes (e.g., Economics of Grassroots Sports ), and frequent policy-oriented commentary establish him as a leading voice in applied economics. Advising & Grants: Details on specific doctoral students or funded projects are not provided, but his role as editor, co-author with international scholars (e.g., Robert Simmons, Joachim Prinz), and policy consultant (e.g., Federal Ministry of Labour) imply active supervision and grant involvement. Labs & Teams: While no dedicated lab is mentioned, his institutional affiliation with the Institute Department 1: Management suggests collaboration within a multidisciplinary team of economists and management scholars at Paderborn.

Henrik Sattlerمشاهده پروفایل

استاد

• Brand Management
• Social Media Marketing
• Marketing of Hedonic Media Products
• +۴ مورد دیگر

Henrik Sattler is a Professor of Marketing & Branding at the University of Hamburg Business School, where he leads the Institute of Marketing. He has held visiting positions at MIT, Cornell University, Australian Graduate School of Management Sydney (UNSW), and the University of Technology Sydney. Spokesperson for DFG-funded research unit FOR 1452 (2015-2023) Founder of the Center for Brand Management and Marketing (ZMM) in 2003 His research focuses on brand management, social media marketing, and marketing of hedonic media products. Publications span top-tier journals including Journal of Marketing, Marketing Science, and PNAS. His work has received over 7,898 citations (h-index: 43). Recent publications analyze: Brand preference measurement techniques Social media's paradoxical effects on loneliness Word-of-mouth dynamics in digital environments Brand positioning through country-image fit Scientific honors include: Best Paper Award (German Academic Association for Business Research - VHB, 2010) Shortlisted for Robert D. Buzzell MSI Best Paper Award (2011) Ranked among top 1% business administration researchers in Germany He serves on the Scientific Advisory Boards of Brand University of Applied Sciences (Hamburg) and DVJ Insights (Utrecht), and has consulted for major companies like Beiersdorf, Henkel, and Unilever.

Allister Loderمشاهده پروفایل

استاد

• Mobility Policy
• Transportation Engineering
• Urban Planning
• +۳ مورد دیگر

Prof. Allister Loder is a Professor of Mobility Policy at the Technical University of Munich (TUM), affiliated with the TUM School of Social Sciences and Technology . His research focuses on mobility policy analysis, evaluation of policy measures, and urban transportation innovations. He holds a doctorate in Transportation from ETH Zurich (2019) and has held roles at Swiss Federal Railways (SBB) and TUM's Chair of Transportation Engineering and Technology. Since 2023, he leads a DFG-funded Emmy Noether Research Group. Education: Mechatronics Engineering, Hamburg University of Technology Energy Science and Technology, ETH Zurich PhD in Transportation Engineering, ETH Zurich (2019) Research emphasizes macroscopic fundamental diagrams (MFD) for urban traffic modeling, analysis of Germany's 9-Euro-Ticket and Deutschlandticket policies, and tradable mobility credit schemes. Recent work explores cycling infrastructure in metropolises and accessibility-based road pricing mechanisms. Key Awards : Recipient of the DFG Emmy Noether Research Group Fellowship (2023). Grants and Projects: Founded the Emmy Noether Research Group focused on mobility policy innovation. Active in large-scale empirical studies like the Mobilität. Leben panel tracking mobility behavior across Germany. Labs/Teams: Leads the Emmy Noether Research Group at TUM, collaborating on mobility policy design and evaluation tools.

• Sustainable consumer behavior
• Customer-centric brand management
• Science communication in marketing
• +۵ مورد دیگر

Professor Tatjana Steusloff is currently a Professor of General Business Administration (especially International Marketing) at the Wiesbaden Business School of HSRM since 2021. Previously held roles include Professor of Economics/Visiting Professor of Marketing at Düsseldorf University of Applied Sciences (2016–2020) and lecturer positions at various HAW institutions (2009–2016). Her career combines academic leadership with industry experience in marketing roles at companies like McCain Foods (Senior Brand Manager, 2004–2008) and Unilever Bestfoods (Brand Manager, 2000–2004). Education: Earned a Dr. rer.oek. (Magna Cum Laude) in 2016 from Leipzig Graduate School of Management (HHL), with prior studies at TU Dresden (1996–1998) and a semester abroad in the MBA program at University of Illinois at Urbana-Champaign (1999). Research Focus: Specializes in sustainable consumer behavior, customer-centric brand management, and science communication in marketing. Recent work emphasizes eco-route choice behavior and digital nudging interventions. Has presented at ISMS Marketing Science Conference (2024), EMAC Annual Conference (2023), and KSFE Annual Conference (2023). Teaching: Leads courses in international marketing strategies, strategic marketing, and market entry case studies at both bachelor's and master's levels in International Management programs. Professional Activities: Serves on the advisory board of Marketing Club Mainz-Wiesbaden (since 2025) and as curator for wi3 Consulting e.V. (since 2023). Previously held board positions in academic organizations (2022–2024).

• Health-related Quality of Life
• Patient-reported Outcomes
• Pediatric Health Assessment
• +۲ مورد دیگر

Dr. Simone Schieskow (née Kreimeier) is a researcher at Bielefeld University's Faculty of Health Sciences, working in Working Group 5 Health Economics and Health Management since October 2010. She holds a B.Sc. in Health Communication and M.Sc. in Public Health from Bielefeld University, and completed her doctorate in November 2020 with a thesis titled "Conceptual and Methodological Development of Quality of Life Assessment in Children and Adolescents Using the EQ-5D-Y as an Example." Education : B.Sc. Health Communication (Bielefeld University), M.Sc. Public Health (Bielefeld University) Her research focuses on health-related quality of life (HRQoL) in children and adolescents, specializing in patient-reported outcomes and EQ-5D-Y instrument development. She has contributed to international collaborations through the EuroQol Group, particularly its Youth Working Group where she serves as deputy chair since 2025. Recent publications highlight methodological advancements in EQ-TIPS (EuroQol Toddler and Infant Populations) preference elicitation (2025), molecular risk scoring for childhood asthma (2024), and comparative studies on adult-vs-adolescent health state preferences (2021). Her work spans from psychometric testing to policy-oriented stakeholder engagement. Key Affiliations : EuroQol Group (since 2016), Youth Working Group (deputy chair since 2025) Contact : simone.schieskow@uni-bielefeld.de | Office: UHG S5-227

Stephan Keuchelمشاهده پروفایل

استاد

• Transport Economics
• Transport Policy
• Environmental Management
• +۳ مورد دیگر

Prof. Dr. Stephan Keuchel is a faculty member at the Westphalian University within the Faculty of Engineering and Natural Sciences , specifically in the Department of Economics, especially Transport Economics and Transport Policy . He teaches courses such as Volkswirtschaftslehre , Transport Policy , and Statistics in Mobility and Logistics at both Bachelor's and Master's levels, while also supervising final theses. Research Focus: Transport economics, environmental management, digitalization of transport, empirical transport research, discrete choice modeling His research projects include spatial effects of carbon pricing on transport equity (2024), ticket inspection impacts, and digitalization of transport systems. He leads the Institute for Mobility and Transport (MoVe) and collaborates on EU Commission initiatives, Eurostat data, and German Federal Ministry of Transport projects. His work emphasizes policy relevance, sustainability, and empirical analysis.

• Combinatorial Optimization
• Approximation Algorithms
• Online Algorithms
• +۳ مورد دیگر

Prof. Dr. Sven Oliver Krumke is a Full Professor of Mathematics and currently serves as Dean of the Faculty of Mathematics at the Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU). His research focuses on Combinatorial Optimization, Approximation Algorithms, Online Algorithms, Complexity, Algorithmic Game Theory, and Graph Theory with Applications. He leads the Optimization Group (AG Optimierung) within the Department of Mathematics. Education and Academic Path: PhD (Dr. rer. nat.) in Mathematics, University of Würzburg (1997) Habilitation in Mathematics, Technische Universität Berlin (2002), Thesis: 'Online Optimization: Competitive Analysis and Beyond' Professor at RPTU since 2004 Research Projects: Principal investigator in the Research Training Group (GRK 2982) 'MIMO: Mathematics of Interdisciplinary Multiobjective Optimization' Project lead for 'ONE PLAN: Optimization in Emergency Medical Services in Rhineland-Palatinate' Teaching includes courses on Analysis, Mathematical Modeling in Economics, and Reading Courses. He supervises Bachelor's and Master's theses in Optimization-related topics. He has held roles such as Scientific Researcher at the Konrad-Zuse-Zentrum Berlin (1998–2004), and has extensive international collaborations, including a Fulbright-funded stay at SUNY Albany (1992–1993). His work emphasizes practical applications in healthcare logistics, emergency services optimization, and algorithmic solutions for real-world problems.

André Nichterleinمشاهده پروفایل

پژوهشگر

• Parameterized Algorithms
• Algorithm Engineering
• Kernelization
• +۲ مورد دیگر

André Nichterlein is a Permanent Research Associate at the Technical University of Berlin, specializing in Algorithmics and Complexity Theory. He completed his PhD at TU Berlin (2014) and holds a Diploma from Friedrich Schiller University Jena (2010). His career includes postdoctoral research at Durham University (UK) under a DAAD fellowship and extensive work as a research assistant at TU Berlin. Research Focus: Nichterlein's work centers on parameterized algorithms , kernelization techniques , graph problem optimization , and algorithm engineering . His research addresses fundamental challenges in computational complexity through practical algorithmic solutions, particularly in graph theory and network optimization. Publication Trends: His recent articles (2020-2023) demonstrate a strong focus on parameterized complexity frontiers, efficient data reduction methods for NP-hard problems, and applications in network design. Recurring themes include kernelization innovations, graph modification problems, and experimental algorithmics, with consistent contributions to theoretical foundations of computer science.

• Econometrics
• Applied Microeconomics
• Quantitative Methods
• +۳ مورد دیگر

Daniel Gutknecht, Ph.D., is a Professor in the Department of Economic Policy & Quantitative Methods (EQ) at the Faculty of Economics, Goethe University Frankfurt am Main. His academic work spans econometrics, applied microeconomics, and quantitative methods, with a focus on causal inference and time series analysis. Econometrics Methodology Quantile Regression Panel Data Analysis Nonlinear Models Recent research contributions include advanced econometric techniques such as staggered adoption DiD designs, sparsity tests for high-dimensional regressions, and intercept estimation in nonlinear selection models. His publications address critical challenges in quantile forecast optimality, nowcasting monotonicity, and heaped duration data modeling, reflecting interdisciplinary applications in public health and macroeconomic policy. Current teaching includes Advanced Econometrics 1 and Fundamentals of Econometrics for the Winter semester 2025/26. Contact details: Office RuW 3.211, Theodor-W.-Adorno-Platz 4, Frankfurt am Main; email: gutknecht@wiwi.uni-frankfurt.de .