جستجوی استاد راهنمای دانشگاهی

• Market Design
• Mechanism Design
• Game Theory
• +۴ مورد دیگر

Marek Pycia serves as Professor of Organizational Economics at the University of Zurich and Co-Director of the Zurich Center for Market Design. His research has driven tangible policy impacts including the U.S. kidney-transplant voucher program and school system redesigns, with publications in premier journals like American Economic Review and Econometrica . His academic foundation includes a Ph.D. in Economics from the Massachusetts Institute of Technology (MIT), complemented by prior faculty roles at UCLA, Pennsylvania State University, and Leon Koźmiński Academy of Entrepreneurship and Management, plus a visiting fellowship at Princeton University. Professor Pycia specializes in Market Design and Mechanism Design , where he bridges theoretical microeconomics with real-world applications in healthcare allocation and educational systems. His work emphasizes strategyproofness , simplicity , and efficiency in matching markets, influencing both academic frameworks and practical policy implementations globally. Recent publications (2024-2025) reveal a concentrated focus on simplifying mechanism design for discrete environments, advancing double auction theory, and optimizing information structures in trade. These works consistently apply game-theoretic principles to solve complex allocation problems across healthcare, education, and financial markets. Key recognition includes: Research Fellow at the Centre for Economic Policy Research (CEPR) Editorial board membership at Theoretical Economics , Journal of Economic Theory , and Games and Economic Behavior While specific grant details remain unmentioned, his editorial leadership and center directorship indicate active research funding. He supervises graduate work through the University of Zurich’s economics programs, though no named students appear in the source text. The Zurich Center for Market Design, which he co-directs, functions as an interdisciplinary hub connecting theoretical research with practitioners in healthcare, education, and public policy to implement novel market mechanisms.

Lars Rohwedderمشاهده پروفایل

دانشیار

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

Lars Rohwedder is an Associate Professor in the Algorithms Group at the University of Southern Denmark (SDU) in Odense. He previously held positions as an Assistant Professor at Maastricht University (Netherlands) and postdoc researcher at EPFL, Lausanne (Switzerland). He earned his Ph.D. in Computer Science from CAU Kiel (Germany), advised by Klaus Jansen, and is a recipient of the 2019 PhD of the year award from Förderverein der TF of Kiel University. His research focuses on algorithms for combinatorial optimization, including approximation algorithms, online algorithms, parameterized algorithms, and integer programming. He has contributed to solving scheduling problems, resource allocation, and optimization under uncertainty. Rohwedder has served on program committees for conferences like MAPSP, SODA, STACS, and ICALP. He is funded by NWO's Open Competition M1 project on quasi-polynomial time algorithms. His teaching includes courses on advanced algorithms, operations management, and optimization at SDU and Maastricht University. Key achievements include a quasi-polynomial approximation for the restricted assignment problem, FPT algorithms for scheduling, and contributions to the Submodular Santa Claus problem. His work bridges theoretical foundations and practical applications, with a focus on algorithmic efficiency and robustness.

• Theoretical Computer Science
• Computational Geometry
• Algorithms
• +۳ مورد دیگر

Günter Rote is a Professor in the Department of Computer Science at Freie Universität Berlin, specifically within the Theoretical Computer Science group (Arbeitsgruppe Theoretische Informatik). He holds a formal academic title of Professor Dr. and is affiliated with the Faculty of Mathematics and Computer Science. His research focuses on theoretical computer science, computational geometry, algorithms, and discrete mathematics. Key research interests include geometric algorithms, optimization problems (e.g., shortest paths, traveling salesman problems), and algorithm design for parallel computing systems. His work spans topics such as systolic arrays, convex hulls, and combinatorial optimization. Rote’s contributions include foundational studies on computational geometry problems, algorithmic complexity, and practical applications in energy equity and infrastructure design. Publications highlight contributions to solving extremal equations, polygon transformations, and the quadratic assignment problem. He has been active in academic leadership, mentoring students, and contributing to computational science communities. His email is rote@inf.fu-berlin.de, and his office is located at Takustraße 9 in Berlin.

Barak Weissمشاهده پروفایل

استاد

• Homogeneous Dynamics
• Ergodic Theory
• Diophantine Approximation
• +۴ مورد دیگر

Professor Barak Weiss is a distinguished faculty member in the School of Mathematical Sciences at Tel Aviv University's Faculty of Exact Sciences. His research focuses on the intersection of dynamical systems, number theory, and geometry, particularly in the areas of homogeneous dynamics, ergodic theory, and Diophantine approximation. Professor Weiss has made significant contributions to the understanding of translation surfaces, lattice orbits, and the dynamics of flows on homogeneous spaces. His work often bridges pure mathematics with applications in number theory and geometry, revealing profound connections between seemingly disparate fields. His research on horocycle dynamics, measure rigidity for fractal carpets, and the classification of cut-and-project sets has advanced our understanding of geometric structures and their dynamical properties. His recent publications (2023-2025) demonstrate a strong focus on equidistribution phenomena, statistical properties of dynamical systems, and the application of homogeneous dynamics to problems in geometric number theory. A notable trend in his work is the interplay between geometric structures and their arithmetic properties, particularly in the context of Diophantine approximation. Professor Weiss actively organizes the "Homogeneous Dynamics and Applications" seminar at Tel Aviv University, which has been running continuously since at least 2014 with detailed schedules available through 2025. This seminar serves as a hub for cutting-edge research discussions, featuring both local and international speakers working on dynamical systems and related areas. He teaches advanced courses in analysis and supervises graduate students, with recent teaching assignments including Real Analysis for summer semester 2025. His office is located in Schreiber building, room 329, and his regular office hours are Tuesdays from 15:00-16:00.

• Algorithmic Game Theory
• Combinatorial Optimization
• Traffic Flow Equilibria
• +۴ مورد دیگر

Prof. Laura Vargas Koch serves as Junior Professor at RWTH Aachen University, leading the Teaching and Research Unit of Algorithmic Game Theory and Discrete Mathematics (GDM). Her interdisciplinary work bridges mathematics, computer science, and economics through rigorous theoretical frameworks. Her research focuses on: Algorithmic Game Theory : Analyzing fair pricing mechanisms and equilibrium structures in traffic flow systems Combinatorial Optimization : Developing approximation algorithms for clustering problems and graph-based optimization Analysis of her 2021-2025 publications reveals evolving expertise in dynamic traffic modeling, routing game equilibria, and auction mechanism design. Her work consistently addresses theoretical foundations while maintaining practical relevance to transportation networks and resource allocation systems. The GDM unit under her direction provides specialized coursework and fosters collaborative research at the intersection of discrete mathematics and economic modeling.

Ulrich W. Thonemannمشاهده پروفایل

استاد

• Supply Chain Management
• Optimization
• Information Systems
• +۵ مورد دیگر

Prof. Ulrich W. Thonemann is a Full Professor and Director of the Department of Supply Chain Management & Management Science at the University of Cologne's Faculty of Management, Economics and Social Science. Since 2019, he has served as Dean of the Faculty and President of the University of Cologne Executive School since 2018. His research spans Supply Chain Management Optimization Behavioral Operations Information Systems . His recent work focuses on Incentive systems for forecast sharing Behavioral inventory metrics Contract design for newsvendor problems Demand information sharing Capacity rationing . He has served on the scientific advisory board of Bundesvereinigung Logistik and as Associate Editor for Production and Operations Management . Scientific Awards: Terman Fellow (1999-2000) Anderson Faculty Scholar (1998-2000) Outstanding Academic Achievements at Stanford (1992) Contact: ulrich.thonemann@uni-koeln.de | Research Group Website

Zeev Rudnickمشاهده پروفایل

استاد

• Number Theory
• Mathematical Physics
• Quantum Chaos

Zeev Rudnick is a Professor of Mathematics at Tel Aviv University, holding the Cissie and Aaron Beare Chair in Number Theory since 2012. He is affiliated with the School of Mathematical Sciences and the Department of Theoretical Mathematics. Education: Ph.D., Yale University, 1990 M.Sc. summa cum laude, The Hebrew University, 1985 B.Sc. summa cum laude, Bar-Ilan University, 1984 Research Interests: Professor Rudnick's work focuses on the interface of Number Theory and Mathematical Physics, particularly Quantum Chaos. His research includes eigenvalue distribution, zeros of L-functions, quantum unique ergodicity, arithmetic problems in function fields, lattice point counting, and spectral statistics. Recent publications explore zeros of modular forms, quantum models, sparse exponential sums, and spectral properties of geometric domains. Awards and Honors: Heilbronn Distinguished Visiting Professor (2019) David Rees Distinguished Visiting Fellowship (2017) Aisenstadt Chair (2014) Invited Speaker at ICM 2014 ERC Advanced Grants (2013–2024) Fellow of the AMS (2012–) AHP Distinguished Paper Award (2011) Erdős Prize (2001) Alon Fellowship (1995) Sloan Dissertation Fellowship (1989/90) Advising and Grants: He has supervised 28 Ph.D. and M.Sc. students in number theory and mathematical physics. His research is supported by an ERC Advanced Grant (RMAST, 2019–2024), following a previous ERC grant (2013–2018). He currently teaches graduate/undergraduate seminars and analytic number theory.

Wolfgang Steinerمشاهده پروفایل

پژوهشگر ارشد

• Beta expansions
• Continued fractions
• Numeration systems
• +۳ مورد دیگر

Wolfgang Steiner is a Research Fellow at the Centre National de la Recherche Scientifique (CNRS) working at the Institut de Recherche en Informatique Fondamentale (IRIF), Université Paris Cité since 2005. His affiliations include membership in the Automata & Applications and Combinatorics research groups. Previously, he held visiting positions at Graz University of Technology and Macquarie University. Education: Habilitation à diriger des recherches en informatique, Université de Paris (2021) Ph.D. in Technology, TU Wien (2002) Master's degree (Dipl.-Ing.), TU Wien (2000) Engineering degree, École Centrale Paris (2000) Steiner's research focuses on numeration systems, including beta expansions and continued fractions, with significant work on Rauzy fractals, tilings, and combinatorics on words. His investigations bridge dynamical systems, fractal geometry, and theoretical computer science, exploring the algorithmic and structural properties of number representations. His publications demonstrate a consistent focus on dynamical approaches to numeration, with recent work expanding into multidimensional continued fractions, S-adic systems, and fractal geometry. The articles show strong interdisciplinary connections between number theory, combinatorics, and symbolic dynamics. Research projects: ANR/FWF SymDynAr (2024-present) ANR IZES (2022-present) ANR CODYS (2018-2023) ANR Dyna3S (2013-2018) ANR/FWF FAN (2013-2017) Coordinator of ANR DyCoNum (2006-2010) Steiner leads the One World Numeration Seminar (since 2020) and previously organized the Automata seminar at IRIF (2012-2017). He collaborates with international research teams across Europe and Australia on projects involving dynamical systems and number theory.

Marc David Ludwigمشاهده پروفایل

مدرس

• Social Work
• Community Work
• Youth Work
• +۹ مورد دیگر

Marc David Ludwig serves as a Lecturer at Alice Salomon University of Applied Sciences Berlin (ASH Berlin), teaching across multiple modules in the Bachelor's program in Social Work. His primary teaching responsibilities include Theories and Methods of Social Work (with focus on Action Methods), Propaedeutics, History and Theory of Social Work , and specialized courses on open child and youth work. He has held teaching assignments continuously from 2022 through 2025 across various semesters. Ludwig's research interests center on community work, youth participation, and socio-spatial contextualization of social services. His work emphasizes participatory approaches to social research, with particular attention to qualitative methods including grounded theory, ethnography, and mixed methods. He investigates social change impacts on young people and families, organization of citizen-led processes in marginalized communities, and cross-departmental integrated action in district development. His recent publications reflect these interests, with articles on crisis discourse, research-practice connections, and civic engagement. An upcoming anthology volume titled Social Work as a Place of Political Education (2025) demonstrates his ongoing scholarly contributions. Ludwig actively supervises numerous Bachelor's and Master's theses on topics ranging from youth participation to social inclusion challenges. Ludwig maintains significant professional engagement through memberships in multiple organizations including the German Professional Association for Social Work (DBSH), where he served on the Executive Board (2021-2024) and held editorial responsibility for FORUM sozial . He also serves on the Board of BAG Social Urban Development and Community Work and participates in working groups focused on doctoral funding and youth engagement.

Marika Karbsteinمشاهده پروفایل

پژوهشگر

• Operations Research
• Mathematical Optimization
• Public Transport Planning
• +۳ مورد دیگر

Dr. Marika Karbstein is a Researcher at the Zuse Institute Berlin (ZIB), where she has been employed since April 2006. Affiliated with the DFG Research Center Matheon "Mathematics for key technologies" from 2006-2014, she earned her doctoral degree in Mathematics from Technische Universität Berlin in 2013. Her work bridges theoretical optimization and practical public transport applications. Her academic background includes: 1999-2005: Studies of Applied Mathematics (Wirtschaftsmathematik) at Technische Universität Berlin 2003-2006: Student assistant at Konrad-Zuse-Zentrum Berlin 2013: Doctoral degree in Mathematics (Dr. rer. nat), Technische Universität Berlin Dr. Karbstein specializes in mathematical optimization for public transport systems, focusing on strategic planning, service design, and passenger behavior modeling. Her research integrates timetabling, line planning, and passenger routing through advanced integer programming and network optimization techniques. She develops practical solutions for infrastructure design, crew scheduling, and fare planning, emphasizing real-world applicability in urban transport networks. Her methodology combines theoretical rigor with implementation-focused approaches to improve system efficiency and user experience. Her publication record shows consistent innovation in periodic timetable optimization and integrated transport modeling. Early work established foundations in Steiner tree problems for transport networks, evolving into sophisticated frameworks for passenger routing and line planning. Recent contributions emphasize direct connections and transfer minimization, reflecting industry needs for seamless passenger journeys. The research demonstrates strong interdisciplinary connections between operations research, computer science, and transportation engineering. Her scientific recognition includes: Diploma Thesis Award of the German Operations Research Society (2006) Runner-Up for Richard-Rado-Prize (2014) Dissertation Award of German Operations Research Society (2014) VBKI Wissenschaftspreis (2014) Tucker Prize Finalist (2015) Best Paper Award at ATMOS 2013 As a core member of the DFG Research Center Matheon, Dr. Karbstein contributed to major collaborative projects funded by the German Research Foundation. Her work with Ralf Borndörfer at ZIB has led to practical implementations including Potsdam's 2010 line plan optimization. While specific grants aren't detailed, her research has been sustained through institutional support at ZIB and Matheon's interdisciplinary framework. She actively collaborates with transport operators to translate theoretical advances into operational improvements. Dr. Karbstein operates within ZIB's renowned applied mathematics environment, leveraging its high-performance computing resources. Her work extends through Matheon's consortium connecting Berlin's mathematics community. Current research focuses on integrating passenger behavior models with real-time scheduling systems, advancing the frontier of data-driven transport optimization.

• Optimization under Uncertainty
• Robust Optimization
• Combinatorial Optimization
• +۷ مورد دیگر

Christina Büsing is a Professor in Combinatorial Optimization at RWTH Aachen University. She leads the Teaching and Research Group on Combinatorial Optimization and is a principal investigator in the UnRAVeL Graduate College. Her research focuses on optimization under uncertainty , robust optimization , and combinatorial optimization , with applications to healthcare , energy systems , and transportation logistics . Alumni of TU Berlin, WWU Münster, and Universidad Complutense de Madrid Junior Professor for Robust Planning in Medical Care at RWTH Aachen (2016-2021) Her methodological expertise spans exact algorithms , heuristics , and complexity theory , with recent publications addressing network flows, facility location, and healthcare scheduling. She has received awards for teaching excellence and gender equality advocacy. 2022 Brigitte Gilles Award for women in science 2019 FAMOS Award for family-friendly leadership 2018 Best Teaching Award at RWTH Aachen Her work combines theoretical rigor with practical applications in urban railway traffic management , solar power systems , and agent-based pandemic response modeling .

• Operations Research
• Combinatorial Optimization
• Game Theory
• +۳ مورد دیگر

Tom Demeulemeester is a Research Fellow at the Operations Research and Statistics Research Group (ORSTAT) of KU Leuven , with a future appointment as Assistant Professor in Operations Research at Maastricht University starting August 2025. His work bridges operations research, combinatorial optimization, and computational social choice, focusing on fair resource allocation and algorithmic game theory. His research emphasizes fairness in integer programming, hedonic games, and one-sided matching. Recent work examines Rawlsian assignments and strategyproofness in multiwinner elections. Publications span journals like the European Journal of Operational Research and conferences such as MFCS and AAAI, with a focus on both theoretical and applied optimization. Key trends in his publications include randomization for fairness, stability in coalition formation, and axiomatic approaches to matching problems. All works are publicly accessible via repositories, with code available on GitHub. This aligns with his commitment to open science and reproducibility. Tom actively engages with academic communities through conference participation (EURO, MFCS, AAAI) and workshops on school choice. He will soon transition to Maastricht University after completing his PhD defense at KU Leuven in May 2024, titled Fairness through randomization: An operations research perspective .

• Optimization under uncertainty
• Robust optimization
• Scenario generation
• +۸ مورد دیگر

Christina Busing is a Full Professor for Combinatorial Optimization at RWTH Aachen University, a position she has held since 2021. Previously, from 2016 to 2021, she served as a Junior Professor for Robust Planning in Medical Care at the same institution. She leads the Teaching and Research Group on Combinatorial Optimization, contributing significantly to the academic community through her research and teaching activities. Her educational background includes Mathematics studies at WWU Münster, Universidad Comlutense de Madrid, and the Technical University of Berlin. Her doctoral work was completed under the supervision of Prof. Möhring, focusing on Recoverable Robustness in Combinatorial Optimization. She has also held postdoctoral positions at institutions in Aachen, Lancaster, and Vienna. Professor Busing's research spans multiple areas of optimization theory and application. Her work focuses on optimization under uncertainty, robust optimization, scenario generation, combinatorial optimization, complexity theory, optimality criteria, and both exact and heuristic algorithms. She has made significant contributions to applying these theoretical frameworks to practical problems in healthcare, energy systems, and transportation networks. Her interdisciplinary approach bridges theoretical computer science with real-world operational challenges. Her extensive publication record demonstrates a consistent focus on robust combinatorial optimization, with recent work emphasizing applications in healthcare systems, particularly in patient-to-room assignment, primary care scheduling, and pharmacy services. She has developed novel methodologies for handling uncertainty in optimization problems, including recycling valid inequalities and designing consistent decision frameworks for two-stage optimization problems. RWTH Aachen Brigitte Gilles Award for contributions to the advancement of women in science (2022) RWTH Aachen FAMOS Award for excellent family-friendly leadership (2019) RWTH Aachen university-wide Best Teaching Award (2018) TU Berlin Best Diploma Excellence Award in Mathematics (2008) German National Scholarship (Cusanuswerk) (2003-2007) Professor Busing serves on multiple program committees including EURO (2019), INOC (2018), and ESA (2017). She is also involved with the UnRAVeL Graduate College since 2018. Her teaching portfolio includes courses on Graph and Network Optimization, Mathematical Heuristics for Discrete Optimization Problems, and Combinatorial Optimization. She has developed problem-based learning approaches for heuristic methods in decision problems across mathematics, computer science, and industrial engineering. Her research group actively collaborates on interdisciplinary projects addressing operational issues in healthcare, energy systems, and transportation networks, developing mathematically optimized solutions for complex real-world challenges.

• Theological Ethics
• Social Ethics
• Political Theology
• +۵ مورد دیگر

Matthias Möhring-Hesse is a Professor of Theological Ethics / Social Ethics at the Faculty of Catholic Theology of Eberhard Karls University of Tübingen since 2011. His academic career spans multiple institutions including the University of Vechta (2007-2011), various teaching assignments at Frankfurt, Marburg, Darmstadt and Münster universities, and research positions at the Institute for Theology and Social Ethics at TU Darmstadt. He previously served as a scientific employee at the office of the President of the German Bundestag and as a political secretary at IG Metall. His educational background includes a doctorate in Catholic Theology (1997), postgraduate studies in Catholic Theology at the Philosophical-Theological College Sankt Georgen (1991-1997), a diploma in Sociology from Goethe University Frankfurt (1987-1991), and studies in Catholic Theology and Philosophy at Sankt Georgen and the University of Münster (1981-1987). He received his venia legendi for Christian Social Sciences from the University of Münster in 2003. Möhring-Hesse's research focuses on the intersection of theology, ethics, and social policy. His work explores political theology, secularization, social justice, environmental ethics, and the role of religious institutions in contemporary society. He examines how theological concepts inform social policy, particularly regarding common goods, welfare systems, and political decision-making. His approach combines philosophical rigor with practical engagement in social issues, often addressing contemporary challenges like housing policy, elder care, and climate justice from a theological ethics perspective. Analysis of his recent publications reveals a consistent focus on the relationship between religious thought and social structures. His work demonstrates particular interest in political theology, secularization processes, social justice frameworks, and the practical application of theological ethics to contemporary social problems. Key recurring themes include the concept of common goods, the role of religious language in public discourse, and the ethical implications of social policy decisions. Möhring-Hesse maintains an active scholarly presence with numerous publications appearing in journals such as Ethik und Gesellschaft, Theologisch-praktische Quartalschrift, and Amosinternational. His work often engages with Catholic social teaching while addressing contemporary social challenges through interdisciplinary lenses combining theology, philosophy, and social sciences.

Isabel Valera Martinezمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Data Science
• +۴ مورد دیگر

Isabel Valera Martínez is a full Professor of Machine Learning at the Department of Computer Science, Saarland University, and an Adjunct Faculty at the Max Planck Institute for Software Systems (MPI-SWS). She holds a PhD in Machine Learning from the University Carlos III of Madrid and has held prestigious fellowships including the Humboldt Postdoctoral Fellowship and the Minerva Fast Track Fellowship from the Max Planck Society. Her research focuses on developing interpretable, robust, and fair machine learning methods, with applications in healthcare, social systems, and consequential decision-making like hiring and loan approvals. Education: PhD in Machine Learning (2014) and MSc in Multimedia and Communications (2012) from University Carlos III of Madrid; Master’s work at Leibniz University Hannover (2009); Telecommunications Engineering from the Technical University of Cartagena (2009). Research Interests: Fairness in AI, Bayesian nonparametric models, robust machine learning, and applications in healthcare and social systems. She co-leads the ELLIS Robust Machine Learning program and the Saarbrücken AI & Machine Learning (SAM) Unit. Key Publications: Contributions to fair classification frameworks, automatic discovery of data types, and modeling psychiatric comorbidity. Notable venues include AAAI, NIPS/NeurIPS, JMLR, and ICML. Awards: Humboldt Fellowship, Minerva Fellowship, Best Paper Honorable Mention at WWW 2017. Labs & Collaborations: Active in the ELLIS Society and MPI-SWS, focusing on interdisciplinary AI applications.