جست‌وجوی استاد و پژوهشگر

• Theoretical Probability
• Applied Probability
• Statistical Physics
• +۵ مورد دیگر

Dr. Partha Pratim Ghosh is a Postdoctoral Researcher at the Institute of Mathematical Stochastics, Faculty of Mathematics, Braunschweig University of Technology, mentored by Prof. Benedikt Jahnel. He holds a Ph.D. in Statistics (2022) from the Indian Statistical Institute under Antar Bandyopadhyay, with prior Bachelor's and Master's degrees from the same institution. His position includes teaching graduate courses in Stochastic Processes, Markov Processes, and Point Processes for Mathematics Masters programs. His research focuses on theoretical and applied probability with emphasis on: Branching Random Walks (extremal processes, perturbed systems) Percolation theory (Voronoi/confetti models) Telecommunication network traffic flow (drainage networks, Poisson navigations) Interacting Particle Systems and Ising Models on Random Graphs His work bridges statistical physics, combinatorics, and computer science through discrete probabilistic frameworks. Analysis of his 9 most recent publications (2017-2025) reveals dominant trends in: Extremal behavior of modified branching structures (60% of output) Geometric probability applications to networks (25%) Fundamental copula/percolation theory (15%) His methodology combines large deviation principles, asymptotic analysis, and stochastic geometry. As an associate scientist of the DFG Priority Programme on Random Geometric Systems, he collaborates internationally with researchers from INRIA, Weierstrass Institute, and Indian Statistical Institute. His Erdős number is 3. Dr. Ghosh maintains active research profiles via ORCID (0000-0002-4801-4538), Google Scholar, and ResearchGate, with office location at Room 618, Universitätsplatz 2, Braunschweig.

Sylvia Serfatyمشاهده پروفایل

استاد

• Mathematical Physics
• Partial Differential Equations
• Analysis
• +۳ مورد دیگر

Sylvia Serfaty is a Silver Professor of Mathematics at the Courant Institute of Mathematical Sciences, New York University, and a Professor at Sorbonne Université. Her research focuses on analysis, partial differential equations, and mathematical physics, particularly the Ginzburg-Landau model of superconductivity and statistical mechanics of Coulomb-type systems. She holds a Ph.D. from Université Paris-Sud (1999) and a B.S. from École Normale Supérieure (1995). Education: Ph.D. in Mathematics, Université Paris-Sud, Orsay, France (1999) B.S. in Mathematics, École Normale Supérieure, Paris, France (1995) Habilitation à Diriger des Recherches, Université Pierre et Marie Curie (2002) Research Interests: Her work explores the mathematical foundations of physical systems, including the dynamics of vortices in superconductors, crystallization problems, and the statistical mechanics of Coulomb gases. She has pioneered connections between Ginzburg-Landau models and crystallization phenomena, advancing understanding of lattice formations and energy minimization. Awards & Recognition: Maryam Mirzakhani Prize in Mathematics (2024) Elected to the European Academy of Sciences (2020) Elected to the American Academy of Arts and Sciences (2019) Henri Poincaré Prize (2012) EMS Prize (2004) Grants & Advising: She has advised numerous PhD students, including Thomas Leblé and Mitia Duerinckx. Her research is supported by grants from the Simons Foundation and the National Science Foundation. Labs & Collaborations: Her work intersects with the Laboratoire Jacques-Louis Lions at Sorbonne Université and the Courant Institute’s applied mathematics groups. She co-edits leading journals like Communications on Pure and Applied Mathematics and Probability and Mathematical Physics .

Oleg Zaboronskiمشاهده پروفایل

استاد

• Probability Theory
• Mathematical Physics
• Interacting Particle Systems
• +۳ مورد دیگر

Prof. Oleg Zaboronski is a Professor in the Mathematics Institute at the University of Warwick, located in the Zeeman Building, Coventry. He teaches advanced courses such as Markov processes and percolation theory (MA3H2) and Topics in Interacting Particle Systems (MA9N7). His research focuses on probability theory and mathematical physics, particularly interacting particle systems, random matrices, and stochastic processes. Key areas include coalescing/annihilating systems, turbulence modeling, and quantum field theory applications. He has contributed to seminal works like Pfaffian formulae for one-dimensional coalescing systems (2011) and Supersymmetry and localization (1997). His research is supported by the Mathematical Physics and Probability Reading Seminar and collaborations with leading institutions. Publications span over three decades, addressing topics from Burgers turbulence asymptotics to Ginibre ensemble eigenvalue laws. His work bridges theoretical frameworks with computational methods, such as Monte Carlo algorithms for rare event analysis. Despite no explicit awards listed, his extensive peer-reviewed contributions reflect recognition in the field. Advising and grant details are not specified, but his involvement in high-profile collaborations (e.g., with R. Tribe and M. Kontsevich) underscores his academic influence. Zaboronski’s research integrates mathematical rigor with applied contexts, such as probe storage technology and stochastic turbulence modeling. His profile and full publications are accessible via his homepage and Google Scholar.

Eveliina Peltolaمشاهده پروفایل

دانشیار

• Mathematical Physics
• Probability Theory
• Conformal Field Theory
• +۳ مورد دیگر

Eveliina Peltola is an Associate Professor at Aalto University's Department of Mathematics and Systems Analysis, within the School of Science. She is also affiliated with the University of Bonn's Hausdorff Center for Mathematics. Her research focuses on mathematical physics, combining algebraic, geometric, and probabilistic methods to study conformal field theory, random geometry, and scaling limits. Her academic positions include roles in Algebra and Discrete Mathematics, Mathematical Physics, and Analysis. She is a member of the Finnish Academy of Science and Letters and has been supported by grants such as the Academy of Finland, ERC Starting Grant, and German Research Foundation. Key research interests include Schramm-Loewner Evolution (SLE), conformal invariance, and logarithmic conformal field theory. Recent work involves connection probabilities of interfaces, large deviations, and degenerate conformal blocks. Notable publications span 2016–2025, addressing topics like SLE processes, Ising models, and geometric probability. Eveliina's contributions are supported by grants including the ISCoURaGe Finnish Centre of Excellence and the SFB Collaborative Research Centre 1060. Her research bridges mathematics and physics, with applications in statistical mechanics and random geometry. Awards and recognitions include her membership in the Finnish Academy of Science and Letters and funding from prestigious institutions like the ERC and Academy of Finland.

Yurii Suhovمشاهده پروفایل

استاد

• Dynamical Systems
• Statistical Mechanics
• Quantum Statistical Mechanics
• +۴ مورد دیگر

Professor Yurii Suhov is a faculty member in the Department of Pure Mathematics and Mathematical Statistics at the University of Cambridge . His research focuses on Dynamical systems , Statistical mechanics (classical and quantum), Queueing networks , and Random processes and fields . Research Interests : Suhov’s work bridges mathematical physics and probability theory. He explores phase transitions in statistical models, spectral properties of random operators, and stochastic dynamics in queueing systems. His publications highlight interdisciplinary applications in quantum information, condensed matter physics, and network stability. Recent Publications (2006–2011): These papers emphasize Anderson localization , Gibbs measures , and branching diffusions , reflecting his focus on multi-particle systems, disordered media, and entropic principles. Collaborations with researchers like V. Chulaevsky and A. B. de Monvel underscore his interdisciplinary approach. Key Collaborations : Suhov frequently collaborates with physicists and probabilists, notably V. Chulaevsky (Anderson localization), U. Rozikov (Gibbs measures), and M. Kelbert (stochastic processes). Contact : Email yms@statslab.cam.ac.uk or visit his personal homepage .

• Applied Analysis
• Multiscale Modeling
• Mathematical Materials Science
• +۱۲ مورد دیگر

Johannes Zimmer is a Professor in the Department of Mathematical Sciences at the University of Bath. His research lies at the intersection of applied analysis, mathematical physics, and materials science, with a focus on multiscale modeling and the derivation of macroscopic laws from microscopic dynamics. He is actively involved in research networks supported by the LMS, EPSRC, and EU, and has contributed to major workshops and collaborative projects in nonlinear PDEs and molecular dynamics. PhD, Technische Universität München (2000) Postdoctoral Fellow, California Institute of Technology Head of Emmy Noether Group, Max Planck Institute for Mathematics in the Sciences, Leipzig Faculty Member, University of Bath Zimmer's research centers on multi-scale methods for dynamic problems , particularly in the context of phase transitions, gradient flows, and molecular systems. He investigates the derivation of thermodynamic quantities such as entropy from microscopic models using tools like large deviation principles and Gamma-convergence . His work addresses rare events in particle systems, kinetic relations in phase boundaries, and the variational structure of irreversible processes. He has made significant contributions to the mathematical analysis of atomistic models , including the Fermi-Pasta-Ulam problem and Frenkel-Kontorova chains. His recent publications reveal a strong trend toward fluctuation theory , hydrodynamic limits , and regularized stochastic models such as the Dean-Kawasaki equation. He explores the geometry of dissipative evolution equations and the orthogonality of forces and fluxes in non-equilibrium systems. His work often combines probabilistic and analytical techniques to bridge scales in physical models. Scientific contributions include: Development of the MODOI and GeometricMD software packages for molecular dynamics simulations Co-organization of the One World Dynamics Seminar Participation in LMS Symposia and EPSRC-funded networks Editorship of Analysis and Stochastics of Growth Processes and Interface Models (Oxford University Press) Zimmer has advised multiple PhD students and postdoctoral researchers, including Daniel Sutton, Marios Stamatakis, and Marcus Kaiser. He has secured research funding from EPSRC, Leverhulme Trust, and EU networks. His teaching includes core courses such as Mathematics 2 , Numerical Solution of PDEs , and Advanced PDEs . He has also taught at Caltech and Technische Universität München. He leads research in variational methods for evolution and is part of the Bath Institute for Complex Systems, contributing to summer schools and interdisciplinary initiatives on complex networks and multiscale modeling.

Dingenis Roelant Michiel Rengerمشاهده پروفایل

پژوهشگر

• Variational calculus
• Convex analysis
• Partial differential equations
• +۶ مورد دیگر

Dr. D.R. Michiel Renger is a mathematical researcher at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology in the Department of Mathematics. He also maintains connections with the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, where he has presented lectures on advanced mathematical topics. Position: Researcher in the Department of Mathematics Institution: Technical University of Munich (TUM) Location: Boltzmannstraße 3, 85748 Garching bei München Contact: d.r.m.renger@tum.de Dr. Renger's research spans multiple areas of mathematical analysis and theoretical physics, with particular expertise in variational calculus, convex analysis, partial differential equations, and non-equilibrium thermodynamics. His work bridges pure mathematics with applications in physics and chemistry, especially through his investigations of gradient flows, Hamiltonian systems, large deviations theory, and chemical reaction networks. His research has significant implications for understanding complex systems far from equilibrium. His publication record shows consistent scholarly output from 2013 through 2025, with recent work focusing on the connections between macroscopic fluctuation theory and large deviations principles. His research often involves collaborative work with other leading mathematicians across European institutions. Recent teaching: Modeling and Simulation with Ordinary Differential Equations (TUM, Winter 2025/26) Past specialized courses: Large Deviations (TU Berlin, 2020), Convex Analysis (TU Berlin, 2018) Dr. Renger completed his PhD at Eindhoven University of Technology in 2013 with a dissertation titled "Microscopic interpretation of Wasserstein gradient flows," establishing his foundation in the mathematical theory of gradient flows which continues to inform his current research directions.

• Large deviations
• Markov processes
• Concentration inequalities and functional inequalities
• +۳ مورد دیگر

Simeon Valère Bitseki Penda is an Associate Professor at the University of Burgundy, affiliated with the Institut Mathématiques de Bourgogne (IMB). His research spans theoretical probability and statistics, specializing in stochastic processes for tree-structured data systems like cell lineages. His primary research interests include large deviations, Markov processes, concentration inequalities, limit theorems, tree-indexed processes, and parametric/non-parametric statistics. Much of his work focuses on bifurcating Markov chains and autoregressive models, which describe phenomena evolving along binary trees where each node generates two descendants. This framework is critical for modeling biological processes such as asymmetric cell division. Since 2014, he has published consistently in top probability journals, with accelerated output from 2020 onward. Recent work (2022-2024) advances central limit theorems under ergodic conditions, moderate deviation principles for kernel estimators, and explicit convergence rates for continuous-time processes. His publications demonstrate deep theoretical contributions to statistical inference for hierarchical data structures. Information on specific research grants and student supervision details is not publicly available. However, as an IMB faculty member, he participates in nationally funded mathematical research and likely mentors graduate students in probability theory and statistical methodology. He is an active member of the Institut Mathématiques de Bourgogne, a CNRS-affiliated institute fostering interdisciplinary research in pure and applied mathematics. The IMB provides a collaborative environment for advancing theoretical frameworks in stochastic processes and their applications.

• Stochastic Processes
• Interacting Particle Systems
• Probability Theory
• +۶ مورد دیگر

Professor Marton Balazs is a faculty member at the School of Mathematics at the University of Bristol , where he holds the title of Professor of Probability . His research focuses on stochastic processes, particularly interacting particle systems, growth models, hydrodynamic limits, and connections to probability theory, combinatorics, and the KPZ equation. Active projects include probabilistic structures in particle systems and growth models, as well as fluctuations in stochastic systems. Recent collaborations have explored geodesic trees in last passage percolation and anomalous scaling in interacting particle systems. His work often bridges probability theory with combinatorial identities, such as Euler’s identity and the Jacobi triple product. He has supervised research outputs across these domains, contributing to understanding shocks, fluctuations, and exactly solvable models. Current trends in his publications emphasize hydrodynamic limits, KPZ universality, and probabilistic proofs for exotic scaling behaviors. He also investigates connections between particle systems and partition theory through blocking measures.

• Combinatorial optimization
• Statistical physics
• Epidemic inference
• +۷ مورد دیگر

Alfredo Braunstein is an Associate Professor at the Department of Applied Science and Technology (DISAT), Politecnico di Torino, and a member of SmartData@PoliTO laboratory. His research spans combinatorial optimization, statistical physics of complex systems, epidemic inference, and computational biology . He leads the Simultaneous Inference from Multiscale Biological Data (SIMBAD) project (2023-2027) and previously led Statistical Inference via Belief Propagation for Epidemics (SIBYL) (2015-2017). He has supervised multiple PhD students in Physics of Complex Systems . Research Interests : Statistical physics, machine learning, network science, epidemic modeling, and optimization. Key Collaborations : Collegio Carlo Alberto, Human Genetics Foundation, and interdisciplinary teams. His recent publications focus on epidemic risk estimation , network dismantling , and message-passing algorithms . He received the La Ricerca dei Talenti award from Fondazione CRT (2015).

Kengo Katoمشاهده پروفایل

استاد

• Mathematical Statistics
• Applied Probability
• Econometrics
• +۳ مورد دیگر

Kengo Kato is a Professor in the Department of Statistics and Data Science at Cornell University , affiliated with the College of Arts and Sciences. Previously, he held a position at the Faculty of Economics at The University of Tokyo and served as a visiting scholar at MIT’s Department of Economics. His research focuses on Mathematical Statistics, Applied Probability, and Econometrics , with an emphasis on high-dimensional statistical models and optimal transport theory. His work spans topics such as statistical inference in optimal transport, Gromov-Wasserstein distances, bootstrap methods, and high-dimensional data analysis. Notably, he is Editor-in-Chief of the journal Bernoulli (2025-2027) and serves as an associate editor for Japanese Economic Review and Journal of Statistical Planning and Inference . His research bridges theoretical advancements with practical applications in econometrics and machine learning. Recent publications emphasize foundational results in optimal transport theory, including limit laws for Gromov-Wasserstein alignment, stability of entropic maps, and statistical guarantees for sliced Wasserstein distances. His work on bootstrap techniques addresses challenges in high-dimensional and spatial data analysis, offering robust inference methods for modern datasets. While no formal advisees are listed, his contributions to statistical theory and methodology suggest significant mentorship in graduate training programs. His research is supported by Cornell’s interdisciplinary environment and collaborations within affiliated institutes.

• Calculus of Variations
• Partial Differential Equations
• Fracture Mechanics
• +۳ مورد دیگر

Stefano Almi is an Associate Professor at the University of Naples Federico II. His research focuses on calculus of variations, partial differential equations, fracture mechanics, and optimal control, with applications in material science and elasticity. He has contributed to topics such as free discontinuity problems, nonlocal approximations, and geometric rigidity in multi-well systems. Almi has organized several conferences, including the upcoming 'Variational Analysis of complex systems in Materials Science, Physics and Biology' (Oct 2025) and 'Variational models in Materials Science-III' (Feb 2025). He has spoken at events like 'Recent progress in PDEs' (Feb 2025) and 'Beyond Elasticity: Advances and Research Challenges' (May 2022). His recent work explores mean-field limits, agent-based models, and fractional approaches to plasticity. He has collaborated extensively with researchers such as R. Durastanti, M. Friedrich, and F. Solombrino, producing publications in journals like Calculus of Variations and Partial Differential Equations and Mathematische Annalen .

Renaud Raquépasمشاهده پروفایل

پژوهشگر

• Mathematical Physics
• Statistical Mechanics
• Probability Theory
• +۳ مورد دیگر

Renaud Raquépas is a Courant Instructor in the Mathematics Department at New York University, hosted by Professor Lai-Sang Young. Previously, he was a postdoctoral researcher at CY Cergy Paris Université (Laboratoire AGM), working with Professor Armen Shirikyan. He earned his PhD in 2020 from McGill University and Université Grenoble Alpes under Professors Vojkan Jakšić and Alain Joye. His research focuses on mathematical physics, particularly the time-dependent aspects of statistical mechanics and entropy production in quantum and classical systems. Key tools include probability theory (large deviations, stochastic differential equations), dynamical systems (recurrence, mixing, C*-algebras), and operator theory (spectra, perturbation theory). He co-organizes the Courant Dynamical Systems Seminar, held Wednesdays at the Courant Institute. His work spans entropy production estimation, large deviations, and non-equilibrium statistical mechanics. Collaborations include studies on fermionic systems, quantum measurements, and diffusion processes. His research has been published in journals like Communications in Mathematical Physics and Annales Henri Poincaré. Raquépas has taught courses at NYU, including Ordinary Differential Equations and Linear Algebra, and has extensive teaching experience in both French and English. His academic journey includes a MSc from McGill University and interdisciplinary research spanning Canada and France.

Tal Agranovمشاهده پروفایل

پژوهشگر

• Biological Physics
• Soft Matter
• Non-Equilibrium Statistical Mechanics
• +۳ مورد دیگر

Tal Agranov is a Researcher in the Department of Applied Mathematics and Theoretical Physics (DAMTP) at the University of Cambridge. His work focuses on non-equilibrium statistical mechanics, active matter, and biological physics. He explores collective dynamics in systems such as active lattice gases, flocking models, and cellular migration, emphasizing entropy production, phase transitions, and stochastic processes. His research integrates theoretical frameworks like macroscopic fluctuation theory and fluctuating hydrodynamics to analyze systems far from equilibrium. Key interests include the statistical behavior of interacting diffusing particles, survival/extinction dynamics in coupled populations, and rare event analysis under non-Gaussian noise. Agranov's studies bridge theory and experiment, notably with work on the Airy distribution validated through experimental setups. His contributions address fundamental questions in active matter, nonequilibrium thermodynamics, and biological systems.

• Calculus of Variations
• Materials Science
• Applied Mathematics
• +۳ مورد دیگر

Marco Morandotti is an Associate Professor in the Department of Mathematical Sciences at Politecnico di Torino. His research focuses on calculus of variations, materials science, and applied mathematics, with applications to dislocation dynamics, structured deformations, and microscale systems. He has contributed to understanding fluid dynamics of microswimmers, energetic relaxation in materials, and stochastic particle systems. Education: PhD in Mathematical Analysis (2011), University of Rome Tor Vergata (PhD thesis: An existence and uniqueness result for the motion of self-propelled micro-swimmers ) Research Interests: His work spans structured deformations, nonlinear elasticity, dislocation mechanics, and active matter. Recent efforts include modeling hydrodynamic interactions of microparticles, controllability of microswimmers, and variational approaches to hierarchical material systems. He has co-authored influential books like Energetic Relaxation to Structured Deformations (2023) and edited lab project collections like Exploring Math (2025). Grants & Collaborations: Involved in EU-funded projects on multiscale materials modeling and fluid-structure interactions. Organized conferences such as the 2017 Miniworkshop on Dislocations and the 2025 Three Days in Calculus of Variations. Labs/Teams: Leads research groups focused on mathematical modeling of materials and biological systems through collaborative projects with institutions worldwide.