جست‌وجوی استاد و پژوهشگر

René Meyerمشاهده پروفایل

مدرس ارشد

• Quantum Field Theory
• String Theory
• AdS/CFT Correspondence
• +۵ مورد دیگر

René Meyer is a Senior Lecturer and researcher at Julius-Maximilians-Universität Würzburg (Germany) in the Department of Theoretical Physics III, where he has been employed since October 2016. His research focuses on quantum gravity, quantum field theory, and applications of AdS/CFT correspondence to condensed matter systems. Meyer earned his PhD summa cum laude from Ludwig-Maximilians University Munich (2009) and holds a Diplom (M.Sc. equivalent) from Leipzig University (2006). His research bridges high-energy physics and condensed matter theory, with expertise in: Holographic dualities and AdS/CFT applications Non-equilibrium quantum systems and hydrodynamics Topological materials and anomaly phenomena Quantum entanglement and information theory String theory and quantum gravity formulations Recent publication trends show strong emphasis on holographic entanglement, quantum anomalies in topological systems, and connections between gravitational theories and condensed matter phenomena. His work frequently employs advanced mathematical methods from conformal field theory and geometric approaches. Awards and honors include: Alexander von Humboldt Feodor Lynen Postdoctoral Fellowship (2015-2016) PhD summa cum laude recognition (2009) Max-Planck Society PhD Fellowship (2006-2009) Multiple scholarships from the German National Academic Foundation Meyer leads research in quantum gravity and field theory at Würzburg's Theoretical Physics III group, collaborating with international teams at Stony Brook University, University of Tokyo, and Crete Center for Theoretical Physics. His group investigates emergent spacetime geometry from quantum information patterns.

• Nonlinear Dynamics
• Statistical Physics
• Chaotic Systems
• +۳ مورد دیگر

Jefferson Stafusa E. Portela is a Professor in the Department of Theoretical Physics III at the University of Wuerzburg, Germany, with an Adjunct Professor position at the Technological Federal University of Parana in Brazil since 2014. His office is located in Building M1, Room 2.010 at the university campus. He has maintained research affiliations with prestigious institutions including the Max Planck Institute for the Physics of Complex Systems and Fraunhofer ITWM. His educational background includes a Doctorate (D.Sc.) in Physics from the University of Sao Paulo, Brazil (2003-2008), featuring a research visit to the University of Texas at Austin in 2006, and a B.Sc. in Physics from the Federal University at Parana, Brazil (1999-2002). Professor Stafusa's research centers on Nonlinear Dynamics and Statistical Physics , with significant contributions to chaotic systems theory and plasma physics applications. His work bridges theoretical frameworks with computational methods to investigate complex phenomena including transient chaos, transport barriers in magnetic confinement systems, and critical behavior in statistical models. He has developed novel approaches to understanding chaotic billiards and leaking systems, with applications extending to fusion energy research through tokamak physics. His publication record demonstrates consistent contributions to high-impact journals, with several papers receiving notable recognition including an editor's choice in Europhysics Letters (2015), an editor's suggestion in Physical Review Letters (2013), and a cover feature in Reviews of Modern Physics (2013). His recent work shows increasing focus on quantum materials and critical phenomena while maintaining strong connections to fundamental nonlinear dynamics. Editor's Choice: "Chaotic Explosions" in Europhysics Letters (2015) Editor's Suggestion: "Chaotic Systems with Absorption" in Physical Review Letters (2013) Cover Feature: "Leaking Chaotic Systems" in Reviews of Modern Physics (2013) Professor Stafusa teaches advanced courses in theoretical physics including Theoretical Electrodynamics, Dualities between Gauge and Gravitation Theories, Quantum Gravity, and String Theory. His research group participates in the Würzburg Seminar on Quantum Field Theory and Gravity and maintains international collaborations across Germany, Brazil, and the United States. While specific student advising information isn't detailed in available materials, his active publication record suggests ongoing mentorship of doctoral and postdoctoral researchers. As part of the Theoretical Physics III research group, he contributes to investigations in quantum field theory, gravity dualities, and statistical physics far from equilibrium. The department's research software development supports computational approaches to quantum materials and complex systems analysis, reflecting Professor Stafusa's interdisciplinary methodology.

• Nonlinear Dynamics
• Statistical Physics
• Quantum Field Theory
• +۳ مورد دیگر

Jefferson Stafusa is a Professor at the University of Würzburg, affiliated with the Theoretical Physics III group. His research spans nonlinear dynamics, statistical physics, and plasma physics, with a focus on chaotic systems. Doctorate in Physics (2008), University of São Paulo, Brazil B.Sc. in Physics (2002), Federal University of Paraná, Brazil His research explores dualities between quantum field theory and gravity, nonequilibrium statistical physics, and chaotic systems in tokamaks. Recent publications analyze phase transitions, chaotic explosions, and magnetic field dynamics. He has held positions as an Adjunct Professor at the Technological Federal University of Paraná (Brazil) since 2014 and guest/researcher roles at institutions including the Max Planck Institute (Dresden) and Fraunhofer ITWM (Germany).

Marius Lemmمشاهده پروفایل

استاد

• Mathematical Physics
• Quantum Many-Body Systems
• Random Elliptic PDE
• +۳ مورد دیگر

Marius Lemm is a Professor of Mathematics at the University of Tübingen, where he has been since 2021. He previously held positions as Assistant Professor of Mathematics at EPFL and as a Benjamin Peirce Fellow at Harvard University. His research focuses on developing mathematical tools for quantum physics problems, particularly in quantum many-body systems, random elliptic PDEs, and random matrix theory. He coordinates the interdisciplinary M.Sc. Program in Mathematical Physics at Tübingen, jointly offered by the mathematics and physics departments. Education: PhD in Mathematics (2017, Caltech), Postdoctoral fellowships at Harvard and the Institute for Advanced Study (Princeton). Research grants include an ERC Starting Grant (2025) for 'MathQuantProp' and DFG support via Collaborative Research Center TRR 352. Research Interests: Mathematical analysis applied to quantum systems, spectral theory, harmonic analysis, and applications to quantum many-body dynamics. Recent work addresses Lieb-Robinson bounds, quantum transport, and universal spectral statistics in dynamically defined systems. Teaching: Recent courses include Analysis II, Mathematical Physics, and Advanced Topics in Quantum Theory. He actively mentors PhD students and postdocs in theoretical and mathematical physics.

Pascal Schweitzerمشاهده پروفایل

استاد

• Algorithms
• Graph Theory
• Computational Complexity
• +۳ مورد دیگر

Prof. Pascal Schweitzer is a faculty member in the Department of Computer Science at TU Darmstadt, leading the working group focused on Algorithms and Symmetry. Previously affiliated with TU Kaiserslautern, he holds a PhD thesis titled 'Problems of Unknown Complexity: Graph Isomorphism and Ramsey Theoretic Numbers.' His research interests include symmetry detection, algorithmic and structural graph/group theory, computational complexity, graph isomorphism problem, and computer algebra. He has collaborated on projects related to Weisfeiler-Leman algorithms and isomorphism tests for graphs with bounded parameters. Pascal's work is supported by contributions to conferences like LICS, STOC, and FOCS. He has co-advised master's students such as Jean-Paul Weber and Anton Catalin on topics like attack-defense trees and antivius engine scanners. He leads teams including EngageS and contributes to teaching areas like algorithmics, deduction, and distributed systems. He maintains an office at TU Darmstadt and can be reached via email at schweitzer@cs.uni-kl.de . His research explores theoretical computer science and practical applications in graph canonization and security models.

• Enumerative Geometry
• Quantum Algebra/Topology/Geometry
• Topological Recursion
• +۶ مورد دیگر

Prof. Gaetan Borot is a Professor at Humboldt University of Berlin, affiliated with the Faculty of Mathematics and Natural Sciences and the Department of Pure Mathematics, Mathematical Physics . His research focuses on mathematical physics, particularly topological recursion, quantum algebra/topology, enumerative geometry, and integrability. He leads a research group exploring the interplay between theoretical physics and advanced geometric and algebraic techniques. Currently on leave until September 2025, he maintains active involvement in academic leadership and research initiatives. Research Interests: Borot’s work bridges algebraic geometry, combinatorics, and quantum field theory. He develops topological recursion techniques to address problems in random matrices, moduli spaces, and string theory. His group investigates topics like W-algebras, geometric quantization, and non-perturbative methods in gauge theories. Recent trends include applications to supersymmetric theories and Liouville conformal field theory. Academic Contributions: Borot advises PhD and master’s students on projects like Hurwitz theory, spectral networks, and geometric quantization. He collaborates on research training groups (RTGs) such as Rethinking QFT and From Geometry to Numbers , and contributes to the College of Mathematics and Physics Berlin. His outreach efforts include public lectures and exhibitions explaining complex mathematical concepts. Teaching: Borot teaches advanced courses in mathematical physics, differential geometry, and analysis. Upcoming lectures include Analysis III for Physicists and a master’s seminar on differential geometry.

Ulrich Horstمشاهده پروفایل

استاد

• Stochastic Control Theory
• Mean-Field Games
• Mathematical Finance
• +۳ مورد دیگر

Ulrich Horst is a Full Professor at the Department of Mathematics, Humboldt University Berlin. He holds a PhD in Mathematics from Humboldt-University Berlin (2000) and has held visiting positions at Princeton University, the University of British Columbia, and the National University of Singapore. His research focuses on stochastic control theory, mean-field games, and financial mathematics. He has served as Scientific Director of the Deutsche Bank Quantitative Products Laboratory and has been a co-spokesperson of the Collaborative Research Center (CRC) 388 on Rough Analysis. He is the Editor-in-Chief of *Mathematics and Financial Economics* since 2015 and has organized numerous workshops, including the *Berlin-Princeton-Singapore Workshop on Quantitative Finance* series. His research interests include stochastic processes, optimal trading strategies, and game-theoretic models. His recent work explores market microstructure, Hawkes processes, and rough volatility. He has contributed to over 70 publications, with a focus on mathematical finance and stochastic systems.

Rolf Sulankeمشاهده پروفایل

استاد

• Differential Geometry
• Möbius Geometry
• Projective Geometry
• +۵ مورد دیگر

Prof. Rolf Sulanke is a renowned mathematician affiliated with Humboldt University of Berlin, where he held the C4 Professorship for Differential Geometry from 1992 until his retirement in 1995. His academic journey began with a Diploma in Mathematics (1955) and habilitation (1964) at Humboldt University, followed by roles as a Scientific Assistant, Senior Assistant, Lecturer, and eventually Professor of Geometry (1975). His research focuses on differential geometry, particularly Möbius geometry, projective geometry, and Cayley-Klein geometries. Key contributions include foundational work on submanifolds in Möbius space, conformal invariants, and the application of E. Cartan’s methods. He authored influential textbooks like Projective and Cayley-Klein Geometries and Introduction to Euclidean Differential Geometry . Publications span over 30 works, including studies on Crofton’s formulas, random convex polyhedra, and Lie algebra applications. His work integrates geometric theory with computational tools, notably Mathematica notebooks for tensor algebra and Möbius geometry visualization. Despite no explicitly listed awards, his academic longevity and textbook contributions highlight his impactful career.

Theo Geiselمشاهده پروفایل

استاد

• Theoretical Physics
• Neural Networks
• Synchronization Phenomena
• +۳ مورد دیگر

Theo Geisel is Emeritus Professor of Theoretical Physics at the University of Göttingen and former Director at the Max Planck Institute for Dynamics and Self-Organization. His research spans: Nonlinear dynamics in neural networks and synchronization phenomena Applications in computational neuroscience and cortical information processing Quantum chaos in semiconductor nanostructures Mathematical epidemiology and human mobility patterns Physics of music including jazz microtiming analysis He founded and coordinated the Bernstein Center for Computational Neuroscience (2004-2013) and received a Heisenberg Fellowship. His group studies unstable attractors in neural networks and their role in cognitive flexibility.

Martin Hellmichمشاهده پروفایل

استاد

• Clinical Biostatistics
• Medical Research Study Design
• Mixed Models Analysis
• +۳ مورد دیگر

Prof. Dr. Martin Hellmich is a Professor at the University of Cologne's Institute of Medical Statistics and Computational Biology, leading the Medical Statistics Group. He has been actively involved in clinical biostatistics, epidemiology, and healthcare research since 1998. His educational background includes a Dr. rer. medic. in Theoretical Medicine from the University of Münster and a M.Sc. in Mathematics with a minor in Logic from the same institution. His research focuses on clinical study design and evaluation, multiple testing methodologies, diagnostic/prognostic procedures, and mixed models applications. Key areas include biostatistical methodologies for medical studies and computational approaches in health sciences. Recent work emphasizes innovative trial designs, such as flexible two-stage clinical trial frameworks visualized through 'chance trees.' Publications span diverse medical domains, including oncology, cardiology, neurology, and pediatrics, reflecting his broad expertise in statistical methodology across healthcare disciplines. He has contributed to protocols for vaccine efficacy studies in immunocompromised patients, neurodevelopmental follow-ups in preterm infants, and communication training for healthcare professionals. Collaborations include teams within the Cologne Center for Data and Simulation Science (CDS), particularly in Scientific Domain 2: Computational Biology and Medicine. His work bridges theoretical statistical rigor with practical clinical applications, addressing critical challenges in evidence-based medicine.

Rudolf Grübelمشاهده پروفایل

استاد

• Probability Theory
• Stochastic Processes
• Combinatorial Analysis
• +۳ مورد دیگر

Prof. Rudolf Grübel is a full Professor at the Institute for Insurance and Financial Mathematics, Leibniz University Hannover (since 1994). He previously held positions at the University of Paderborn (1993-1994), Technical University of Delft (1989-1993), and Imperial College London (1985-1989). His research focuses on Probability Theory, stochastic processes, and combinatorial structures, with applications to algorithm analysis and actuarial science. Expertise includes renewal theory, random trees, and statistical methods. Contributions to branching processes, Markov chains, and permutons. His work emphasizes probabilistic models in discrete structures (e.g., search trees, random graphs), with recent trends toward copula-based statistical tests and mixture representations of distributions. Key topics include tail behaviors, limit theorems, and boundary theory approaches. Publications span over 40 years, with notable contributions to the Annals of Probability, Journal of Applied Probability, and Electronic Journal of Probability. No awards are listed, but his extensive academic output reflects his influence in stochastic analysis.

• Optimal Transport
• Gradient Flows
• Ricci Curvature
• +۷ مورد دیگر

Prof. Dr. Matthias Erbar is a faculty member in the Faculty of Mathematics at Bielefeld University, where he leads the research group AG Erbar. His work is centered on mathematical analysis, with a focus on optimal transport, gradient flows, and discrete geometric analysis. He is affiliated with the Department of Mathematics and maintains an active research profile with numerous publications in top-tier journals. His research interests lie at the intersection of analysis, probability, and geometry. He investigates optimal transport on discrete and continuous spaces, gradient flow structures in PDEs and stochastic processes, Ricci curvature on metric measure spaces and graphs, and functional inequalities such as Poincaré and logarithmic Sobolev inequalities. His work often employs entropy-based methods and explores the geometric implications of curvature conditions in non-smooth settings. The recent publications show a consistent trend toward understanding geometric and analytic properties of discrete systems, including graphs, Markov chains, and configuration spaces. There is a strong emphasis on formulating continuous concepts like Ricci curvature and gradient flows in discrete settings, enabling applications in probability, statistical mechanics, and numerical analysis. The work frequently involves collaboration with leading researchers in the field. Scientific Awards: No awards explicitly mentioned in the provided text. Prof. Erbar advises doctoral students and leads an active research group (AG Erbar), suggesting engagement in graduate supervision and collaborative research. While specific grants are not listed, his publication output and collaborations imply sustained research funding. He has co-authored papers with researchers across Europe, indicating international collaboration and academic leadership. He is the principal investigator of AG Erbar , a research group within the Faculty of Mathematics at Bielefeld University. The group focuses on analysis and probability, particularly in the context of optimal transport and discrete geometry. The group likely includes PhD students and postdoctoral researchers, contributing to the broader research environment in mathematical analysis at Bielefeld.

• Stochastics
• Mathematical Biology
• Theoretical Bioinformatics
• +۵ مورد دیگر

Alejandro Hernández Wences is a researcher at the University of Bielefeld, affiliated with the Faculty of Engineering and the Working Group of Biomathematics and Theoretical Bioinformatics. He is actively involved in the Collaborative Research Centre 1283 (SFB 1283), specifically in Project C1, which focuses on ancestral lines in population models with interaction. His work sits at the intersection of stochastics, mathematical biology, and theoretical bioinformatics, contributing to the broader goals of understanding randomness and low regularity in complex systems. Institution: University of Bielefeld Faculty: Faculty of Engineering Research Group: Biomathematics and Theoretical Bioinformatics Project Affiliation: SFB 1283 – C1: Ancestral lines in population models with interaction His research interests center on stochastic processes in biological populations, mathematical modeling of evolutionary dynamics, and the analysis of singular and random systems. These interests align with Bielefeld’s strategic research focus on the 'Mathematical World' and its emphasis on interdisciplinary applications of probability theory and analysis. No recent publications are listed in the provided text, but his participation in a major DFG-funded collaborative research center suggests active contribution to high-level academic research. There is no mention of scientific awards or formal advisees in the available information. Alejandro Hernández Wences contributes to a vibrant research environment that includes the Bielefeld Graduate School in Theoretical Sciences (BGTS), the Research Centre for Mathematical Modeling (RCM²), and strong collaborations with institutions like Seoul National University through international research training groups. His work supports the university’s mission of transcending disciplinary boundaries in pursuit of fundamental scientific understanding.

• Stochastic Processes
• Dynamical Systems
• Mathematical Analysis
• +۲ مورد دیگر

Dr. Timo Spindeler is affiliated with the Faculty of Mathematics at the University of Bielefeld. He is part of the Collaborative Research Centre (SFB) 1283, specifically subproject A6, which investigates 'Random versus deterministic dynamical systems with long-range aperiodic orientation order.' His research interests include stochastic processes, dynamical systems, and mathematical analysis related to uncertainty and randomness. He holds an office in UHG V5-116 and can be reached via phone at +49 521 106-4794. No specific academic rank beyond 'Researcher' is explicitly stated, nor are any awards, grants, or publications listed in the provided text.

• Stochastic Partial Differential Equations
• Stochastic Analysis
• Probability Theory
• +۳ مورد دیگر

Prof. Dr. Xicheng Zhang is a Professor at Bielefeld University, affiliated with the Collaborative Research Centre (SFB) 1283 titled 'Taming uncertainty and profiting from randomness and low regularity in analysis, stochastics and their applications.' He serves as the Subproject Manager for the research area B1, focusing on new directions in stochastic partial differential equations. His work bridges theoretical stochastic analysis with applications in uncertainty quantification and mathematical modeling. Research Interests: Xicheng Zhang's research emphasizes stochastic processes, particularly in addressing challenges related to randomness and low regularity phenomena. His projects often intersect with interdisciplinary applications in finance, physics, and engineering, aiming to leverage stochastic methods for practical problem-solving.