جستجوی استاد راهنمای دانشگاهی

Slava Rychkov is a Permanent Professor of Theoretical Physics at the Institut des Hautes Études Scientifiques (IHES), a position he has held since 2017. He specializes in strongly coupled quantum and conformal field theories, with applications across high energy physics, statistical mechanics, and condensed matter physics. His current research focuses on the conformal bootstrap and renormalization group techniques, including both perturbative and nonperturbative methods like tensor network renormalization. Education: Ph.D. in Physics, Princeton University (2002) Master of Science, Moscow Institute of Physics and Technology (1996) Recent research highlights include a groundbreaking connection between Deligne categories and symmetries of probabilistic loop ensembles in statistical physics, and a novel method for analytic continuation of Euclidean CFTs to Lorentzian signature. His work on the 2+ϵ expansion challenges established assumptions about critical exponents in 3D systems. Publications span topics from tensor renormalization group methods to rigorous mathematical approaches in the conformal bootstrap program. Scientific Awards: Jacques Solvay International Chair in Physics (2025) Grand Prix Mergier-Bourdeix, French Academy of Sciences (2019) New Horizons in Physics Prize (2014) As Deputy Director of the Simons Collaboration on the Nonperturbative Bootstrap, Rychkov leads efforts to rigorously analyze conformal field theories. His former advisees include prominent researchers at institutions like EPFL, Princeton, and Università di Genova. Current projects focus on resolving fundamental questions about critical phenomena and phase transitions using advanced mathematical physics tools.

• Conformal Field Theory
• Quantum Field Theory
• Renormalization Group
• +۴ مورد دیگر

Gilles Blanchard is a Professor at Paris-Saclay University , affiliated with the Institute of Mathematics in Orsay. His research focuses on statistical learning theory , multiple testing , kernel methods , and high-dimensional statistics . Key Contributions: Decontamination of mutually contaminated models Novelty detection with semi-supervised learning Non-Gaussian component analysis (NGCA) for dimension reduction Scientific Awards: PhD thesis award from University of Paris 6 (2004) Google Scholar h-index of 49 with over 8,000 citations Recent Research Trends: False Discovery Rate (FDR) control in structured hypothesis testing Conformal prediction for link analysis Adaptive sampling in restless bandits Statistical learning on measure spaces His work bridges theoretical statistics with practical machine learning applications, including genome-wide association studies , persistent homology in topological data analysis , and random feature moments for compressive learning . He is involved in open-source software development like μTOSS for multiple testing standardization and has advised on projects related to flow cytometry and Hadrontherapy applications.

• Statistics
• Machine Learning
• Statistical Learning Theory
• +۵ مورد دیگر

Hugo Duminil-Copin is a Permanent Professor at the Institut des Hautes Études Scientifiques (IHES) since 2016. His research lies at the intersection of probability theory and statistical physics, focusing on critical phenomena in lattice models such as Ising, Potts, percolation, and self-avoiding walks. Fields of Interest: Probability Theory, Statistical Physics, Percolation, Critical Behavior, Mathematical Physics Scientific Awards : Fields Medal (2022) Dobrushin Prize (2019) ERC Starting Grant 'CriBLaM' (2017) European Mathematical Society Prize (2016) Recent Publications highlight his work on critical exponents, conformal invariance, and phase transitions across diverse models (Ising, random-cluster, six-vertex) using probabilistic and geometric methods. He has also advanced the understanding of Gaussian free fields and their connection to percolation theory.

• Probability Theory
• Statistical Physics
• Mathematical Physics
• +۴ مورد دیگر

Charles-Edouard Bréhier is a Professor at the University of Pau and the Pays de l'Adour, specializing in numerical methods for stochastic systems. His research spans stochastic PDEs, multiscale modeling, metastable processes, and geometric numerical integration. He leads investigations into error analysis and computational efficiency for complex stochastic systems. Bréhier's work develops advanced numerical schemes for high-dimensional problems, including splitting integrators, Galerkin approximations, and structure-preserving algorithms. His recent publications focus on error bounds for SPDE discretizations, turbulence modeling, and stochastic geometric mechanics. Articles consistently demonstrate rigorous mathematical foundations for computational methods, with applications spanning fluid dynamics, plasma physics, and optimization. The research provides tools for simulating complex systems with inherent randomness across multiple temporal and spatial scales.

• Numerical Probability
• Stochastic PDEs
• Multiscale Modeling
• +۲ مورد دیگر

David Garcia serves as Head of the Research and Innovation Department at CESI South-East region, affiliated with the Digital Innovation Laboratory for Businesses and Learning to Support Territorial Competitiveness (LINEACT). His work focuses on industrial systems engineering, operational research, and numerical simulation with particular expertise in production systems modeling. Dr. Garcia earned his Doctorate from Ecole Supérieure de Chimie, Physique Electronique de Lyon (ESCPE) with his 2002 thesis on polymer injection process optimization (awarded highest honors). He also holds an Advanced Study Diploma in IMAGE from Joseph-Fourier University - Dijon (1998, with honors) specializing in instrumentation and image computing. His research spans production systems engineering, with evolving focus from fundamental polymer injection molding processes to contemporary applications in digital twin technology and Industry 4.0/5.0. Key interests include dynamic scheduling of flexible manufacturing systems, human-system interactions in production environments, and image processing for industrial applications. His work demonstrates a clear trajectory from material science fundamentals to advanced computational approaches for modern manufacturing challenges. Analysis of his publication history reveals consistent contributions to polymer processing optimization that evolved toward digital manufacturing systems. His recent work focuses on digital twin implementation for micro learning factories, affordance characterization in industrial work environments using deep learning, and scheduling frameworks for Industry 5.0 contexts that balance human creativity with machine precision. Dr. Garcia actively supervises research, currently guiding Sarah Ouarab's doctoral work on characterizing affordances in human cyber-physical production systems through multimodal perception of human-system interactions. He serves as Micro Learning Factory (MLF) platform referent and participates in thesis juries for related engineering disciplines. As the regional coordinator for research and innovation activities at CESI South-East, he leads the LINEACT research team focusing on management and decision-making in production systems, human-system interactions, and educational innovation through project-based learning approaches across preparatory and engineering cycles.

• Industrial systems engineering
• Operational research
• Scientific computing
• +۶ مورد دیگر

KIMURA Taro is an Associate Professor at the Institute of Mathematics of Burgundy (IMB), University of Burgundy, with a focus on Mathematical Physics and Theoretical Physics. He holds a tenure-track position under the ISITE-BFC initiative and leads research at the intersection of algebraic geometry, quantum field theory, and topological materials. His academic roles include teaching advanced mathematics and physics courses in the International Master in Mathematical Physics (Math4Phys) program. Education: PhD in Physics from the University of Tokyo (2012), MA and BA from the University of Tokyo. Research: Explores quantum field theory, random matrix models, quiver gauge theories, and their applications to topological phases and integrability. Article Trends: His recent work bridges Mathematical Physics with High Energy Physics , emphasizing random partitions , quiver W-algebras , supergroup gauge theories , and topological materials . Publications reveal a focus on quantum integrability, non-perturbative methods, and algebraic structures in gauge theories. Scientific Awards: International Junior Fellowship (2019–2022) JSPS Research Fellowships (2013–2015, 2011–2013) Students & Collaborators: Mentors PhD and Master's students in projects related to quantum field theory and topological materials. Collaborates with researchers at institutions like RIKEN, Keio University, and the University of Tokyo. Leads the Mathematics-Physics team at IMB. Grants: Principal Investigator (PI) for projects including AQGQ (MITI CNRS 2024–2025), CQAG (ANR 2019–2022), and co-PI for SupToPhAG (EUR-EIPHI 2021–2024).

• Mathematical Physics
• Quantum Field Theory
• Algebraic Geometry
• +۳ مورد دیگر

Hugo Duminil-Copin is a full professor at the University of Geneva (since 2013) and a permanent professor at the Institut des Hautes Études Scientifiques (IHES) in Bures-Sur-Yvette (since 2016). A 2022 Fields Medalist, his research lies at the intersection of probability theory, mathematical physics and combinatorics, with a focus on critical phenomena in lattice models. Education: École Normale Supérieure (ENS), Paris PhD, Université Paris-Saclay Research Interests: Duminil-Copin's work centers on probability theory and statistical physics , particularly the rigorous study of critical phenomena. He uses probabilistic methods to analyze classical lattice models—Ising, Potts, percolation, self-avoiding walks—shedding light on phase transitions and universality. A major breakthrough is his development of dependent percolation theory , which has yielded precise results on critical exponents and scaling limits. His research spans several subfields: Critical percolation and random-cluster models Conformal invariance and Schramm–Loewner evolution Mathematical theory of phase transitions Discrete geometry and combinatorial enumeration Random walks and polymers Scientific Awards & Honors: Fields Medal (2022) Dobrushin Prize (2019) European Mathematical Society Prize (2016) New Horizons in Mathematics Prize (2017) Loève Prize (2017) Jacques Herbrand Grand Prize (2017) ERC Starting Grant “CriBLaM” (2017–2022) Member, French Academy of Sciences Member, Academia Europaea Supervision & Grants: He leads an active research group comprising postdoctoral fellows and doctoral students in Geneva and at IHES. Since 2013 he has supervised 15+ PhD students and mentored numerous postdocs. The ERC Starting Grant “Critical Behavior of Lattice Models” (€1.5 M) supports his team’s work on scaling limits and critical phenomena. Research Group: At the University of Geneva he heads the “Analysis, Mathematical Physics and Probability” group, collaborating closely with colleagues such as Antti Knowles, Stanislav Smirnov, Vincent Vargas and Yvan Velenik.

• Probability Theory
• Mathematical Physics
• Statistical Physics
• +۴ مورد دیگر

Yilin Wang is an Associate Professor of Mathematics at ETH Zurich, conducting research at the interface of complex analysis and probability theory. Previously, she served as Junior Professor at the Institut des Hautes Études Scientifiques (IHES) from 2022, following postdoctoral positions as a CLE Moore Instructor at MIT and Strauch Postdoctoral Fellow at MSRI. Her educational background includes: Master of Science in Probability and Statistics from the University of Paris-Saclay PhD from ETH Zurich (2019) supervised by Fields Medalist Wendelin Werner Wang's research centers on profound connections between random conformal geometry , geometric function theory , and Teichmüller theory , utilizing tools like Loewner energy, Schramm-Loewner evolutions, Gaussian free field, and Weil-Petersson Teichmüller space. Her work bridges mathematical physics with deep theoretical explorations of hyperbolic surfaces, 3-manifolds, and Brownian loop measures. She has received significant recognition: New Frontiers Maryam Mirzakhani Prize (2022) ERC Starting Grant (2023) for "Connecting Random Conformal Geometry and Teichmüller Theory" (RaConTeich) Salem Prize (2024) As Principal Investigator of the €1.5M ERC Starting Grant under Horizon Europe, Wang leads the RaConTeich project while mentoring graduate students at ETH Zurich. She serves as editor for the Bulletin and Journal of the London Mathematical Society, contributing to scholarly dissemination in mathematical sciences.

• Complex Analysis
• Probability Theory
• Random Conformal Geometry
• +۳ مورد دیگر

Gregory Miermont is a Professor of Mathematics at École Normale Supérieure de Lyon (ENS de Lyon), affiliated with the Unité de Mathématiques Pures et Appliquées (UMPA). He earned his doctorate in 2003 from Sorbonne University under Jean Bertoin, following studies at École Normale Supérieure Paris and UC Berkeley. His research centers on probability theory, including random trees, large random maps, coalescence/fragmentation processes, and stochastic calculus. He has advised 10+ PhD students, including Jérémie Bettinelli, Robin Stephenson, and Daphné Dieuleveut. His recent articles explore Brownian geometry, random maps, and scaling limits, with publications in journals like Annals of Probability and Combinatorial Theory . Awards: CNRS Silver Medal (2018) IUF Senior Member (2023–2028) Jaffé Prize (2016) Wolfgang Doeblin Prize (2014) EMS Prize (2012) He leads research projects on random maps and stochastic processes, supported by grants from ANR (MAC2, A3) and Labex Milyon.

• Probability Theory
• Random Trees
• Random Maps
• +۳ مورد دیگر

Goran Frehse is a Professor at ENSTA Paris where he leads the Semantics of Hybrid Systems (SSH) team and serves as Director of the Computer Science and Systems Engineering Unit (U2IS). His work bridges theoretical computer science with practical engineering applications, focusing on verification methods for complex cyber-physical systems. Dr. Frehse's research interests center on the safety verification of cyber-physical systems, particularly those incorporating artificial intelligence. His expertise spans formal methods for hybrid systems (combining discrete events with continuous dynamics described by differential equations), model checking , reachability analysis , statistical verification techniques , and safe reinforcement learning . His work addresses critical challenges in verifying systems where traditional testing approaches are insufficient due to complexity and safety requirements. Analysis of his recent publications (2021-2024) reveals a growing emphasis on integrating machine learning techniques with formal verification methods. His research increasingly focuses on data-driven reachability analysis , verification of AI-based control systems , and explainable AI safety , reflecting the field's evolution toward addressing the verification challenges posed by modern AI-integrated systems. His work maintains strong connections to practical applications while advancing theoretical foundations. As a research advisor, Dr. Frehse has supervised multiple PhD students including Abdelmouaiz Tebjou, Gwendal Priser, and David Brellmann. His research has been supported through significant projects such as IPL Modeliscale (2017-2021), UnCoVerCPS (2015-2018), and industrial collaborations including a project with DENSO Automotive Deutschland focused on control design verification for complex systems. Dr. Frehse leads the Semantics of Hybrid Systems research team within U2IS, which develops foundational methods and practical tools for system verification. His team's work has direct applications in safety-critical domains including autonomous vehicles, industrial robotics, and defense systems, where formal guarantees of system behavior are essential.

• Cyber-physical systems
• Hybrid systems
• Formal verification
• +۷ مورد دیگر

Nicolas Curien is a Professor at Paris-Saclay University, affiliated with the Probability and Statistics Team. His research spans Probability Theory , Random Planar Maps , Hyperbolic Geometry , and Stochastic Processes . Key Roles : Head of the M2 program "Mathematics of Randomness" at University of Paris Saclay Associate Editor for journals like Electronic Journal of Probability and Annals of Probability His research interests focus on geometric probability, random graphs, percolation theory, and the interplay between random metric spaces and combinatorial structures. Recent work includes studies on geodesic stability in Poisson-line metrics, hyperbolic Voronoi tessellations, and phase transitions in parking processes on random trees. He has supervised numerous PhD and Master’s students, including Alessandra Caraceni , Linxiao Chen , and Thomas Budzinski , with projects on random planar maps, frozen Erdős–Rényi graphs, and hyperbolic random planar maps. His scientific awards include the ERC Cog "SuPerGRandMa" (2023), the Prix Marc Yor (2022), and the Prix Jacques Herbrand (2019). Collaborative efforts and editorial roles further highlight his contributions to probabilistic models, including scaling limits of causal maps, harmonic measures in random trees, and geometric properties of infinite snakes via unimodularity. His work often bridges discrete structures with continuum limits, such as the Brownian plane and stable looptrees.

• Probability Theory
• Random Planar Maps
• Geometric Probability
• +۷ مورد دیگر

Adrien Kassel is a Researcher at CNRS based at École Normale Supérieure de Lyon, working within the Unit for Pure and Applied Mathematics (UMPA) in the Probabilities team. His research spans the intersection of probability theory, combinatorics, and mathematical physics, with particular focus on random structures on graphs and surfaces. Dr. Kassel's research centers on probabilistic combinatorial structures, especially determinantal point processes , random spanning trees and forests , and loop models . His work connects deep mathematical concepts from statistical mechanics with geometric and topological structures. He investigates scaling limits of discrete models, connections to conformal field theory, and applications to mathematical physics. His research often reveals profound connections between seemingly disparate areas of mathematics through the lens of probability. His publications demonstrate a consistent focus on the interplay between combinatorial structures and probabilistic phenomena. The research trajectory shows increasing sophistication in handling geometric aspects of random processes, with recent work exploring connections to quantum gravity and conformal field theory through Schramm-Loewner evolution. Dr. Kassel received the prestigious Paul R. Halmos - Lester R. Ford Award for his article "The Looping Rate and Sandpile Density of Planar Graphs" co-authored with David B. Wilson. This award recognizes expository excellence in mathematical writing. He has advised Héloïse Constantin, who successfully defended her PhD thesis on "Spanning forests and phase transition" in June 2023. Dr. Kassel teaches advanced courses including "Determinantal processes" at the Master's level and "Integration and Probability" at the undergraduate level. He has co-organized numerous academic events including the ICJ-UMPA probability seminar, workshops on random maps and matrices, and meetings between ENS Lyon and SISSA. As coordinator of MathαLyon from 2017-2022, he actively engaged in mathematical outreach, bringing exhibits to middle and high schools across the Lyon region. His commitment to popularization extends to writing for Images des Mathématiques and participating in various math circles and outreach programs.

• Probability
• Combinatorics
• Mathematical Physics
• +۳ مورد دیگر

Samuel Tapie is a Professor at the Faculty of Science and Technology of the University of Lorraine since September 2021. He is affiliated with the IECL (Elie Cartan Institute of Lorraine) and became a Junior member of the Institut Universitaire de France (IUF) in 2023. His research focuses on Riemannian geometry at the intersection of dynamical systems, spectral theory, and geometric group theory. University: University of Lorraine Affiliation: IECL – Geometry team Previous institutions: University of Nantes, University of Grenoble, University of Bonn His research spans multiple subfields of geometry, including: Ergodic theory of geodesic flows in negative curvature Spectral geometry of the Laplacian Interactions with Ricci/Yamabe flows, geometric group theory, and conformal geometry His publications reveal expertise in: Random walks on hyperbolic groups Entropy theory and geodesic currents Conformal metric compactness Counting closed geodesics Scientific awards include: Junior member of the Institut Universitaire de France (2023) He actively contributes to mathematics dissemination through: Coordinating IECL's scientific mediation activities Organizing MATh.EN.JEANS workshops Collaborating with artists on theater and multimedia projects

• Riemannian geometry
• Ergodic theory
• Spectral geometry
• +۴ مورد دیگر