جست‌وجوی استاد و پژوهشگر

• Stochastic Bilevel Optimization
• Stochastic Complementarity Problems
• Stochastic Optimization
• +۳ مورد دیگر

Dr. Johanna Burtscheidt is a researcher at the University of Duisburg-Essen, affiliated with the Faculty of Mathematics. Her expertise lies in stochastic optimization, with a focus on bilevel optimization, complementarity problems, and applied mathematical methodologies. She holds a doctoral degree and contributes to academic discourse through research and teaching. Research interests include advancing stochastic optimization techniques for complex systems, particularly in contexts involving uncertainty and multi-level decision-making. She is a member of the Collaborative Research Center Transregio 154 (03/2020–06/2022), focusing on gas network optimization, and the Graduate School 1855 (10/2016–09/2019), addressing discrete optimization under uncertainty. Teaching responsibilities span multiple semesters, including courses such as Practical Course on Linear Optimization, Exercises in Linear Optimization, and Stochastic Optimization. Recent offerings include seminars on Bilevel Optimization in 2025. Contact: Office WSC-W-4.27, reachable via email at johanna.burtscheidt@uni-due.de . Consultation by appointment only.

• Microeconomics
• Organizational Economics
• Industrial Organization
• +۲ مورد دیگر

Professor Margaret Meyer is a leading microeconomics theorist renowned for foundational contributions to organisational economics and industrial organization. As a founding member of ESSET (European Summer Symposium in Economic Theory at Gerzensee), she has shaped one of Europe's premier economic theory forums since the early 1990s, fostering generations of young economists through high-impact scholarly exchange. Her research spans strategic communication, personnel selection mechanisms, incentive design, and information structures in organizations. Meyer's work integrates game-theoretic modeling with institutional analysis to examine how information asymmetries, strategic behavior, and organizational design affect economic outcomes. Key contributions include analyzing the persistent effects of selection luck, strategic opacity in incentive systems, and robustness properties of communication equilibria. Recent publications reveal consistent focus on information economics applications, particularly examining how strategic actors manipulate selection processes and incentive structures. Her work demonstrates methodological rigor through sophisticated game-theoretic frameworks addressing real-world organizational challenges in labor markets and decision-making systems. Scientific recognition includes: Role Models in Economics Award by European Economic Association (2023) Through ESSET leadership, Meyer has significantly influenced career trajectories of emerging economists while advancing theoretical frontiers in microeconomic organization theory.

Thorsten Theobaldمشاهده پروفایل

استاد

• Optimization
• Algebraic Geometry
• Discrete Mathematics
• +۳ مورد دیگر

Thorsten Theobald Thorsten Theobald is a Professor of Mathematics at the Goethe University Frankfurt am Main, affiliated with the Institute of Mathematics within the Department of Mathematics and Computer Science. His research focuses on discrete and computational geometry, algebraic geometry, optimization, and their applications. He has held visiting positions at institutions such as the Simons Institute for the Theory of Computing (Berkeley), the Mittag-Leffler Institute (Sweden), and Yale University. Education and Career Ph.D. (Dr. rer. nat.) in Computer Science, University of Trier (1997) Habilitation in Mathematics, Technical University of Munich (2003) Professor (W3) at Goethe University Frankfurt since 2006 Research and Awards His work bridges algebraic geometry and optimization, with contributions to polynomial optimization, tropical geometry, and semidefinite programming. Key awards include the Felix Klein Teaching Award (2003), Walther von Dyck Award (2000), and recognition as a Fellow of the German National Merit Foundation (1991–1995). Teaching and Mentorship He teaches courses on optimization, algebraic geometry, and discrete mathematics, and has mentored over 70 students (Bachelor, Master, and Ph.D.). Notable Ph.D. students include Constantin Ickstadt and Timo de Wolff. He has also mentored postdoctoral researchers such as Giulia Codenotti and Mahsa Sayyary Namin. Professional Activities Principal Investigator in DFG Priority Program 2458 (Combinatorial Synergies) Editorial Board Member of Beiträge zur Algebra und Geometrie and SIAM Journal on Applied Algebra and Geometry Organizer of conferences such as the Summer School on Nonlinear Optimization and Combinatorics (2025) and the Frankfurt-Darmstadt Afternoons on Optimization Labs and Collaborations He co-leads the DIGO Research Seminar (Discrete Mathematics, Geometry, and Optimization) and collaborates with institutions like École Polytechnique (Paris) and the Simons Institute. His work integrates theoretical advances with computational tools, emphasizing interdisciplinary applications.

Frank Heinemannمشاهده پروفایل

استاد

• Macroeconomics
• Experimental Economics
• Monetary Policy
• +۵ مورد دیگر

Professor Frank Heinemann is affiliated with the Technical University of Berlin as the Chair of Macroeconomics since 2006. He is part of Faculty VII - Economics and Management and the Institute of Economics and Business Law, specializing in macroeconomic theory and experimental economics. Research Focus: Experimental validation of global games, strategic uncertainty in coordination games, monetary policy design, financial crises, and risk-taking behavior. Teaching: Macroeconomics (AVWL II), International Economics, Monetary Economics, Financial Crises, Advanced Monetary Macroeconomics, and Financial Markets Regulation. Collaborations: Active in EU TMR network 'Financial Market Efficiency' and co-edited works with leading economists like Gerhard Illing. His recent publications analyze motivated beliefs in risk-taking , neural correlates of strategic uncertainty , and transparency in speculative attacks . Awards include the Lehrpreis des Landes Baden-Württemberg and scholarships from Studienstiftung des Deutschen Volkes and DAAD. Key Contributions: Bridging theoretical game models with experimental data, studying how private/public information affects market equilibria, and quantifying behavioral responses in macroeconomic contexts.

Ira Neitzelمشاهده پروفایل

استاد

• PDE-Constrained Optimization
• Numerical Analysis
• Optimal Control Theory
• +۵ مورد دیگر

Professor Ira Neitzel leads the Research Group for Optimization with Partial Differential Equations at the Institute for Numerical Simulation, Faculty of Mathematics and Natural Sciences, University of Bonn. Her research focuses on PDE-constrained optimal control problems, numerical analysis, and phase-field fracture modeling. She maintains active collaborations with institutions including TU Darmstadt and Leibniz University Hannover. Her primary research interests include: PDE-Constrained Optimization Numerical Analysis of Optimal Control Problems Regularization Approaches for Nonsmooth Control Fracture Propagation Modeling using Phase-Field Methods Recent work emphasizes quasilinear parabolic PDEs, state constraints, and sparse control applications in fracture mechanics. Analysis of her 15 most recent publications (2019-2025) reveals consistent focus on: Mathematical foundations of phase-field fracture control Numerical methods for state-constrained problems Convergence analysis of SQP algorithms Error estimation in finite element discretization Key journals include SIAM Journal on Control and Optimization, ESAIM: COCV, and Numerische Mathematik. Her scientific contributions include leadership in DFG Priority Program SPP 1962 and organization of the "Women in Optimization" workshop series. Notable projects include "Optimizing Fracture Propagation Using Phase-Field Approach" (SPP 1962) and "Sparse Controls in Optimization of Quasilinear PDEs" (SFB 1060). Professor Neitzel advises doctoral researchers including Andreas Hehl and Konstantinos Dimitriou. She teaches advanced courses in Numerical Algorithms, Scientific Computing, and Graduate Seminars on Numerical Simulation. Her group maintains active participation in the International GAMM Activity Group on Optimization with PDEs.

Florian Spohrمشاهده پروفایل

پژوهشگر

• Interest mediation and lobbying
• Labor market policy
• Policy analysis
• +۳ مورد دیگر

Florian Spohr is a senior researcher and academic staff member at the Institute of Social Sciences , University of Stuttgart , within the Department of Political Systems and Political Sociology . He holds a doctorate in political science (Dr. rer. soc.) from Ruhr-Universität Bochum and has extensive experience in both research and teaching roles across multiple German universities. Educational Background: Diplom-Politologe (Diploma in Political Science and Public Law), University of Hamburg (2000–2006) Dr. rer. soc. (PhD in Social Sciences), Ruhr-Universität Bochum (2014) Research Interests: Dr. Spohr’s research agenda centers on the intersection of organized interests and public policy-making, with a particular focus on: Interest mediation and lobbying strategies within multi-level governance systems Comparative labor market policy, especially activation reforms and their institutional underpinnings The role of parliamentary committees and public hearings in legislative processes European Union policy-making and the influence of subnational actors Path dependency and institutional change in welfare states Recent Research Trajectory: Since 2024, he has been leading the DFG-funded project „Interessengruppenpopulationen, Zugang und Verzerrungen im Mehrebenen-Lobbying (PABIM)“ , which investigates interest group populations, access patterns, and biases in multi-level lobbying across German federal institutions and the EU. His 2025 publications on subnational lobbying and labor market policy reflect this ongoing focus on multi-level governance and policy feedback loops. Scientific Contributions & Awards: Principal Investigator, DFG Research Grant PABIM (2024–) Principal Investigator, DFG Research Grant „Lobbying Across Multiple Levels“ (2022–2024) Spokesperson, DVPW Working Group on Organized Interests (since 2017) Author of multiple monographs and textbooks, including „Lobbyismus? Frag doch!“ (2023) and „Arbeitsmarkt und Arbeitsmarktpolitik“ (2022) Teaching & Mentorship: Dr. Spohr has taught undergraduate and graduate courses on lobbying in government, parliament and media, as well as labor market policy from a policy-field analytical perspective. His teaching activities span the University of Stuttgart and Ruhr-Universität Bochum. Affiliated Labs & Teams: He is an active member of the DVPW-Arbeitskreis Organisierte Interessen (German Political Science Association Working Group on Organized Interests), serving as its spokesperson since 2017.

• Optimization Theory
• Mathematical Programming
• Operations Research
• +۷ مورد دیگر

Mikhail V. Solodov is a prominent researcher at IMPA (Institute for Pure and Applied Mathematics) in Rio de Janeiro, Brazil, with significant contributions to optimization theory, algorithms, and applications. His work spans theoretical foundations and practical implementations across various domains including energy systems and mathematical programming. Research Interests: Newton and Newton-related algorithms for optimization and variational problems under weaker-than-standard assumptions Augmented Lagrangian and related techniques Nonsmooth optimization, particularly bundle methods Generalized Nash Equilibrium Problems and applications to Energy Models Optimization problems with degenerate constraints and complementarity constraints Perturbation and error-stability analysis of computational algorithms Recent Publication Trends: His recent work demonstrates continued theoretical innovation in optimization methods while increasingly focusing on energy applications. His publications show strong collaboration patterns, particularly with Alexey Izmailov and Claudia Sagastizábal, covering topics from fundamental algorithm development to practical energy market modeling. Editorial Service: SIAM Journal on Optimization (2009-2024) Mathematical Programming, Series A (since 2005) Optimization Methods and Software (since 2002)

Shihao Zhuمشاهده پروفایل

پژوهشگر

• Insurance Mathematics
• Financial Mathematics
• Stochastic Control
• +۳ مورد دیگر

Dr. Shihao Zhu is a postdoctoral researcher at the Institute of Insurance Science (IVW) at Ulm University since February 2024. He completed his Ph.D. in Mathematics at Bielefeld University, Germany (January 2021 - June 2024), supervised by Prof. Dr. Giorgio Ferrari at the Center for Mathematical Economics (IMW). His academic affiliation at Ulm University involves collaboration with Prof. Dr. An Chen. Education : Ph.D. in Mathematics, Bielefeld University (2021-2024) Current Role : Postdoc Researcher at Ulm University's Institute of Insurance Science (IVW) His research focuses on stochastic control models, insurance mathematics, and financial optimization under uncertainty. Key areas include dividend policies, reinsurance strategies, retirement planning, and health-wealth complementarities. The work often involves Markov-modulated environments and ambiguity modeling. Recent publications demonstrate expertise in solving free-boundary problems, stochastic dynamic programming, and actuarial risk modeling. Topics span optimal consumption, life insurance timing, and irreversible healthcare investment frameworks, reflecting interdisciplinary applications of mathematics in finance and insurance.

• Mathematical Biology
• Partial Differential Equations
• Chemotaxis Models
• +۵ مورد دیگر

Prof. Johannes Lankeit is a Professor at the Institute for Applied Mathematics (IfAM) within the Faculty of Mathematics and Physics at Leibniz University Hannover. His research focuses on mathematical analysis of chemotaxis models, partial differential equations, and their applications in biological and biomedical contexts. Research Interests: Models of mathematical biology Chemotaxis systems and their qualitative properties Partial differential equations (PDEs) and nonlinear analysis Blow-up phenomena in parabolic systems Reaction-diffusion systems with chemotaxis Recent work includes analysis of chemotaxis-consumption interaction, tuberculosis granuloma formation, and cancer invasion models. His articles frequently address global solvability, asymptotic behavior, and critical mass thresholds in PDE systems. Teaching: Responsible for advanced courses in applied mathematics and PDEs at the undergraduate and graduate levels. Publications: Over 50 peer-reviewed articles in top journals like Nonlinear Analysis , Journal of Differential Equations , and SIAM Journal on Mathematical Analysis .

• Algorithms
• Game Theory
• Automata
• +۵ مورد دیگر

Marcin Jurdzinski is a Professor at the Department of Computer Science, University of Warwick, with a focus on algorithms, games, automata, and logic. His career spans institutions like the University of Aarhus, University of Paris 7, and UC Berkeley. Research interests include Parity games Stochastic games Timed automata Formal verification Game theory . Recent articles highlight work on parity games, stochastic systems, and timed automata, published in venues like SIAM Journal on Computing, LICS, and CAV. Keywords span Computer Science , Game Theory , and Formal Methods . PhD students mentored include Thejaswini K. S., Michail Fasoulakis, and Ashutosh Trivedi. Funded projects such as Solving Parity Games in Theory and Practice (2017-2021) reflect his research priorities.

Moritz Diehlمشاهده پروفایل

استاد

• Optimization
• Control Systems
• Embedded Systems
• +۳ مورد دیگر

Prof. Moritz Diehl is a Professor at the University of Freiburg, leading the Systems Control and Optimization Laboratory within the Department of Microsystems Engineering (IMTEK) and affiliated with the Department of Mathematics. Born in Hamburg, Germany, he holds a Ph.D. from Heidelberg University (2001) and previously served as a professor at KU Leuven (2006–2013), where he directed the Optimization in Engineering Center (OPTEC). His research focuses on optimization and control, emphasizing numerical methods for engineering applications, particularly embedded systems and renewable energy. Key areas include model predictive control (MPC), nonlinear optimization, and real-time control systems. Education: He studied physics and mathematics at Heidelberg University and the University of Cambridge (1993–1999), culminating in a Ph.D. in Scientific Computing. His academic journey includes roles at KU Leuven and Freiburg, where he has developed influential tools like the AWEbox framework for airborne wind energy systems and the acados optimization library. Research Interests: His work spans numerical optimal control, MPC algorithms, and their applications in robotics, energy systems, and automotive engineering. Recent advancements include collision-free motion planning, real-time NMPC with convex-concave constraints, and stochastic control methods for mobile robots. He also explores optimization for hybrid systems, leveraging finite elements and switch detection for nonsmooth dynamics. Publications: His 2023–2025 work highlights contributions to MPC stability, energy-efficient control systems, and software tools like LCQPow for quadratic programming. His research bridges theory and practice, addressing challenges in industrial processes, renewable energy integration, and autonomous systems. Labs & Teams: He leads the Systems Control and Optimization Lab, fostering interdisciplinary projects in optimal control, robotics, and sustainable energy. His group collaborates on tools like acados, emphasizing real-time feasibility and scalability for complex systems.

• Optimization Theory
• Numerical Optimization
• Newton-Type Methods
• +۵ مورد دیگر

Mikhail V. Solodov is a Researcher at the Institute for Pure and Applied Mathematics (IMPA) in Rio de Janeiro, Brazil, where he conducts cutting-edge research in optimization theory and algorithms. His work spans theoretical foundations and practical applications, with significant contributions to Newton-type methods, augmented Lagrangian techniques, and equilibrium problems. Dr. Solodov's educational background includes: Ph.D. in Optimization/Computer Sciences from University of Wisconsin-Madison (1995) M.S. in Computer Sciences from University of Wisconsin-Madison (1992) Diploma (with Honors) in Applied Mathematics from Moscow State University (1991) His research focuses on developing and analyzing optimization algorithms, particularly Newton and Newton-related methods for optimization and variational problems under weakened assumptions, augmented Lagrangian techniques, decomposition methods, and nonsmooth optimization (especially bundle methods). He has made significant contributions to understanding optimization problems with degenerate constraints and has developed relaxed regularity concepts for these challenging problems. Dr. Solodov's recent publications (2022-2025) show a strong trend toward applications in energy markets while maintaining theoretical rigor. His work bridges mathematical theory with practical implementation, demonstrating how optimization theory can solve real-world problems in energy systems and economic equilibrium modeling. The publications reveal increasing focus on equilibrium problems with applications to energy markets, while continuing to advance theoretical understanding of optimization algorithms. His recognition in the field is evident through his editorial appointments: Mathematical Programming, Series A (since 2005) Optimization Methods and Software (since 2002) SIAM Journal on Optimization (2009-2024) Dr. Solodov has also contributed to special journal issues dedicated to prominent figures in optimization, including a special issue on Hierarchical Optimization in Mathematical Programming (2023) and volumes dedicated to the memory of Prof. Naum Shor and Olvi Mangasarian.

• Theoretical Physics
• Quantum Gravity
• Black Hole Physics
• +۳ مورد دیگر

Ahmed Almheiri is an Emirati theoretical physicist currently serving as an Assistant Professor of Physics at New York University Abu Dhabi (NYUAD) on Saadiyat Island. He previously held postdoctoral positions at Stanford University (2014-2017) where he worked on AdS/CFT correspondence as quantum error correction, and at the Institute for Advanced Study (2017-2022) where he made key contributions to black hole radiation entropy calculations. Almheiri completed his undergraduate studies at the University of Toronto (2008), followed by Master's (2010) and Ph.D. (2014) degrees from the University of California, Santa Barbara under Joseph Polchinski. His doctoral thesis The Black Hole Firewall and Top-Down Constructions of AdS/CFT earned the Lancaster Dissertation Award. Professor Almheiri's research focuses on fundamental problems at the intersection of quantum mechanics and gravity, particularly the black hole information paradox and AdS/CFT correspondence. His work has demonstrated how spacetime geometry emerges from quantum entanglement through quantum error correction principles. Recent research explores black hole radiation entropy and connections between wormholes and quantum entanglement, advancing our understanding of quantum gravity. His scientific achievements have been recognized with prestigious awards: Mohammed bin Rashid Knowledge Award (2024) New Horizons in Physics Prize (2021) for "calculating the quantum information of a black hole and its radiation" Pride of Emirates medal (2020) awarded by His Highness Sheikh Mohammed Bin Rashid Al Maktoum Lancaster Dissertation Award (2014) At NYUAD, Almheiri mentors postdoctoral researchers including Shoy Ouseph (joined 2024), and contributes to the university's theoretical physics research initiatives. His work continues to address foundational questions in quantum gravity with implications for understanding spacetime emergence and black hole physics. Professor Almheiri is actively involved in NYUAD's theoretical physics community, collaborating with researchers in quantum information and high-energy theory. His research group investigates how quantum information principles govern gravitational phenomena, building on his doctoral work with Joseph Polchinski and continuing to resolve long-standing paradoxes in theoretical physics.

Marco Battagliniمشاهده پروفایل

استاد

• Political Economy
• Public Economics
• Collective Action
• +۳ مورد دیگر

Marco Battaglini serves as the Edward H. Meyer Professor of Economics at Cornell University and holds a non-resident fellowship at EIEF (Einaudi Institute for Economics and Finance). His academic profile centers on theoretical and empirical political economy with significant contributions to collective action theory and institutional analysis. His educational credentials include: Ph.D. in Economics from Northwestern University (2001) Professor Battaglini's research focuses on political economy mechanisms , particularly examining how individuals overcome collective action problems through strategic behavior and institutional design. His work integrates rigorous game-theoretic modeling with empirical validation, as demonstrated in studies of congressional logrolling, donor influence dynamics, and volunteer dilemmas. The recurring theme across his publications involves analyzing how group size, information asymmetry, and temporal dynamics affect collective decision-making outcomes in political contexts. Recent publications reveal a methodological trend combining quasi-experimental designs with theoretical frameworks to investigate political influence networks and legislative bargaining. His 2023-2024 papers consistently address core public economics questions through the lens of political institutions, demonstrating particular expertise in applying game theory to real-world political phenomena. His scientific recognition includes: Carlo Alberto Medal (2009) Election as Fellow of the Econometric Society While the source material indicates active collaboration with prominent researchers including Thomas R. Palfrey, Valerio Leone Sciabolazza, and Eleonora Patacchini, it provides no specific details about graduate student supervision, grant funding, or laboratory affiliations. His research trajectory suggests ongoing investigation into the intersection of political institutions and collective action problems.