جست‌وجوی استاد و پژوهشگر

Werner Wendelinمشاهده پروفایل

استاد

• Schramm-Loewner Evolution
• Probability Theory
• Mathematical Physics
• +۳ مورد دیگر

Wendelin Werner is a renowned mathematician and currently the Rouse Ball Professor of Mathematics at the University of Cambridge (since 2023). Previously, he held professorships at ETH Zürich (2013–2023) and the University of Paris-Sud in Orsay (1997–2013). His research focuses on probability theory, mathematical physics, and complex analysis, particularly Schramm-Loewner evolution and conformal invariance. He has received prestigious awards, including the Fields Medal (2006), SIAM George Pólya Prize (2006), and Fermat Prize (2001). His work bridges stochastic processes and geometric structures, with implications for statistical mechanics and critical phenomena. Werner studied at the École Normale Supérieure (1987–1991) and earned his PhD from Université Paris VI under J. F. Le Gall (1993). Early career positions included postdoctoral research at Cambridge (1993–1995) and roles at CNRS (1991–1993, 1995–1997). His academic contributions span stochastic geometry, critical systems, and random curves, with seminal papers on loop measures, percolation, and SLE. He has delivered major lectures globally, including at the International Congress of Mathematicians (IMC 2006) and the College de France's Cours Peccot. Werner’s honors include membership in the French Academy of Sciences (2008), the Berlin-Brandenburg Academy (BBAW), and the German National Academy Leopoldina. He is also an honorary fellow of Gonville and Caius College, Cambridge (2009). His research has advanced understanding of universal scaling limits in two-dimensional models, earning recognition as a leader in probability and mathematical physics.

Smirnov Stanislavمشاهده پروفایل

استاد

• Mathematical Physics
• Probability
• Complex Analysis
• +۳ مورد دیگر

Stanislav Smirnov is a Professor at the University of Geneva's Department of Mathematics since 2003 and Head of the Chebyshev Laboratory at St. Petersburg State University since 2010. He holds a Ph.D. from the California Institute of Technology (1996) and a B.Sc./M.Sc. from St. Petersburg State University (1992). His research focuses on mathematical physics, probability, complex analysis, and dynamical systems, with groundbreaking contributions to the understanding of critical phenomena in statistical physics. Key achievements include receiving the Fields Medal (2010), the highest honor in mathematics, for his work on percolation and the Ising model. He has organized major international conferences, such as the 'St. Petersburg School in Probability & Statistical Physics' (2012) and the '2D Statistical Physics Workshop' (2013). His academic career includes positions at Yale University, the Max-Planck Institute, and KTH Royal Institute of Technology. Education: Ph.D., Mathematics, California Institute of Technology (1996) B.Sc./M.Sc., Mathematics (with honors), St. Petersburg State University (1992) Awards: Fields Medal (2010) European Research Council Advanced Grants (2008, 2013) Rollo Davidson Prize (2002) Salem Prize (2001) Smirnov’s research bridges probability theory and complex analysis, with notable results on conformal invariance in two-dimensional models. His work has advanced understanding of critical exponents, percolation thresholds, and the universality of phase transitions. He advises doctoral students and collaborates internationally on projects funded by Swiss and European grants. He co-organized over 20 conferences worldwide, including plenary talks at the International Congress of Mathematicians (2006, 2010) and the World Congress in Probability and Statistics (2012). His lab fosters interdisciplinary research, linking mathematics to physics and computer science.

Stanislav Smirnovمشاهده پروفایل

استاد

• Mathematical Physics
• Probability
• Complex Analysis
• +۳ مورد دیگر

Stanislav Smirnov is a Professor at the University of Geneva and holds a part-time position at the Chebyshev Laboratory of St. Petersburg State University. A leading figure in mathematical physics, he works on probability, complex analysis, and dynamical systems, with significant contributions to conformal invariance in statistical mechanics models.

Elon Lindenstraussمشاهده پروفایل

استاد

• Ergodic theory
• Topological dynamics
• Flows on homogeneous spaces
• +۶ مورد دیگر

Elon Lindenstrauss is a Professor at Hebrew University since 2008 and previously held faculty positions at Princeton University (2004-2010) and Stanford University (2001-2003). He is a member of the Academia Europaea (elected 2012) and has been affiliated with prestigious institutions including the Institute for Advanced Study (Princeton) and Courant Institute (NYU). Fields Medal recipient (2010) ERC Advanced Grant awardee (2011) Recipient of multiple fellowships including Clay Mathematics Institute (2003-2005) and Clore Fellowship (1998-1999) His research focuses span multiple mathematical disciplines: Ergodic theory and dynamical systems Homogeneous spaces and equidistribution Connections between number theory and quantum chaos Additive combinatorics and random walks As a leading mathematician, he has organized major conferences, including: 2013-14 Semester program at Hebrew University 2010 Oberwolfach workshop on Homogeneous Dynamics 2007 Clay Summer School on Homogeneous Flows

• Probability Theory
• Statistical Mechanics
• Random Walks
• +۳ مورد دیگر

Dr. Quirin Thomas Simon Vogel is a Senior Lecturer at the Department of Statistics, University of Klagenfurt. He previously held postdoctoral positions at the Technical University of Munich, New York University Shanghai, and served as an Interim Professor at Ludwig-Maximilians University of Munich. His research bridges probability theory with statistical mechanics and algorithmic applications. Current role: Senior Lecturer (2025) Previous roles: Postdoc (TUM, NYU Shanghai), Interim Professor (LMU Munich) His research focuses on: Random walks and their geometric/stochastic properties Randomized algorithms with applications in statistical models Quantum-inspired probabilistic systems (e.g. interacting bosonic loop soups) Large deviation theory for complex systems Percolation and phase transitions in particle models The articles reflect trends in probability theory, mathematical physics, and algorithmic applications. Key topics include high-dimensional percolation, Bose gas models, neural network theory, and stochastic geometry. The work combines rigorous mathematical analysis with interdisciplinary applications in physics and computer science. Scientific awards and functions cannot be determined from the provided data, as they describe other researchers. The department's research activities include projects on statistical learning, quantum models, and algorithmic probability, though Vogel's direct involvement in these specific funded projects isn't explicitly stated.

Hugo Duminil-Copinمشاهده پروفایل

استاد

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

Hugo Duminil-Copin is a renowned mathematician holding half-time appointments as Professor at the Institut des Hautes Études Scientifiques (IHÉS) and the Université de Genève . He has been recognized with prestigious awards, including the Fields Medal (2022) and the New Horizons Prize in Mathematics (2017) . His research focuses on probability theory and statistical mechanics, particularly phase transitions, percolation, and critical phenomena. Education: He earned his Ph.D. in Mathematics from the University of Geneva in 2012. Key academic milestones include a Full Professorship at IHÉS from 2015 and prior roles as Assistant and Associate Professor at Geneva. Research: Duminil-Copin explores foundational questions in statistical physics, such as the rigorous analysis of lattice models and phase transitions in dimensions three and four. His work bridges probability, combinatorics, and mathematical physics, with notable contributions to percolation theory and the Ising model. Awards: Beyond the Fields Medal, he has received the EMS Prize (2016), the Loeve Prize (2017), and an ERC Consolidator Grant (CRIBLAM, 2018–2023). Grants & Leadership: He led the ERC-funded CRIBLAM project, investigating random-cluster models and related topics. His collaborations span global institutions, emphasizing interdisciplinary approaches to complex systems.

Emmanuel Breuillardمشاهده پروفایل

استاد

• Combinatorics
• Geometric Group Theory
• Ergodic Theory
• +۱ مورد دیگر

Emmanuel Breuillard is a Professor of Pure Mathematics at the University of Oxford. Previously, he held positions as Sadleirian Professor at the University of Cambridge (2017-2021), Professor at Université Paris-Sud (2008-2017), and Associate Hadamard Professor at École Polytechnique (2006-2008). His academic journey includes a PhD from Université Paris-Sud and Yale University, supervised by Frédéric Paulin and Gregory Margulis, and a Master in Mathematics from Cambridge. PhD: Université Paris-Sud (2004), supervised by Frédéric Paulin; Yale University, supervised by Gregory Margulis Master: University of Cambridge (2000) Ecole Normale Superieure (1997-1999) His research spans Combinatorics , Geometric Group Theory , Ergodic Theory , and Number Theory , focusing on approximate groups, expansion in finite simple groups, and Diophantine geometry. His recent work analyzes Elekes-Szabo problems in projective geometries. He has authored 50+ publications in prestigious journals, addressing topics like random polynomials, C*-simplicity, and uniform independence in linear groups. Fellow of the Royal Society (2024) ERC Consolidator Grant (2014-2019) Prix Charles-Louis de Freycinet (2013) European Mathematical Society Prize (2012) ERC Starting Grant (2008-2013) Cours Péccot, Collège de France (2006)

Brian Horsakمشاهده پروفایل

دانشیار

• Clinical biomechanics
• Gait analysis
• Musculoskeletal loading
• +۵ مورد دیگر

Brian Horsak is a Privatdozent (equivalent to Associate Professor) at the University of Vienna, affiliated with the Department of Sport and Human Movement Science within the Faculty of Sports Sciences. He serves as a member of the PI Panel/Supervisors for the Sport Science program at the Vienna Doctoral School of Pharmaceutical, Nutritional and Sport Sciences (VDS PhaNuSpo). His research group is located at the St. Pölten University of Applied Sciences with strong collaboration to the Centre for Sport Science and University Sports at the University of Vienna. Dr. Horsak's primary research interests focus on clinical (gait) biomechanics and interdisciplinary approaches between therapy and technology. His work is dedicated to understanding musculoskeletal loading of the lower extremities during locomotion and exercise, and developing assistive technologies such as machine learning algorithms and virtual reality applications to support patients and therapists during rehabilitation. Specific areas include: Clinical gait analysis and biomechanics Musculoskeletal loading in lower extremities Patellofemoral instability and joint biomechanics Machine learning applications for gait classification Virtual reality for rehabilitation Biomechanics of obesity and pediatric movement disorders 3D motion capture and markerless technology His recent publications demonstrate a strong trend toward integrating advanced computational methods with clinical biomechanics. Over the past five years, his work has increasingly focused on smartphone-based motion capture systems, deep learning applications for gait analysis, and virtual reality environments. His research bridges engineering technology and clinical rehabilitation, with particular attention to knee biomechanics, patellofemoral disorders, and movement analysis in pediatric obesity. Dr. Horsak teaches courses including 'Methods and Concepts of Biomechanics and Sports Informatics' and serves as supervisor for PhD students Bernhard Dumphart and Mark Simonlehner. His research group maintains strong collaborations with the St. Pölten University of Applied Sciences and appears to be involved in multiple interdisciplinary projects combining sports science, engineering, and clinical rehabilitation.

• Optimal Transport
• Martingale Theory
• Mathematical Finance
• +۳ مورد دیگر

Mathias Beiglböck is a full Professor at the Department of Mathematics within the Faculty of Mathematics at the University of Vienna. His research spans multiple areas of mathematical analysis with a strong focus on probability theory and its applications to finance and other fields. With over 60 publications spanning from 2009 to 2024, Beiglböck has established himself as a leading researcher in his field. Beiglböck's primary research interests center around optimal transport theory, martingale theory, and their applications to mathematical finance. His work explores the deep connections between probability theory and financial mathematics, particularly in areas such as option pricing, risk management, and stochastic processes. His research also extends to epidemiological modeling, as evidenced by his contributions to SARS-CoV-2 research during the pandemic. Analysis of his recent publications (2022-2024) reveals a strong focus on advancing the theoretical foundations of optimal transport and martingale theory while finding novel applications in finance and data science. His work often bridges pure mathematical theory with practical applications, particularly in financial modeling and risk assessment. The high citation counts across his publications (some exceeding 100 citations) indicate significant impact in his field. Beiglböck has collaborated extensively with researchers across Europe, particularly with scholars from France, Austria, and the UK. His work on the COVID-19 pandemic demonstrates his ability to apply mathematical expertise to pressing real-world problems, contributing to public health policy through rigorous quantitative analysis.

Yakov G. Sinaiمشاهده پروفایل

استاد

• Dynamical Systems
• Mathematical Physics
• Statistical Physics
• +۲ مورد دیگر

Yakov G. Sinai is a renowned Professor in the Department of Mathematics at Princeton University, holding this position since 1993. He has also been a Senior Researcher at the Landau Institute of Theoretical Physics since 1971 and previously served as a Professor at Moscow State University from 1971 to 1993. His work bridges deterministic and probabilistic systems, with foundational contributions to mathematics and physics. Doctor Degree , Moscow State University (1963) Ph.D. , Moscow State University (1960) B.S. , Moscow State University (1957) Dr. Sinai’s research spans theory of dynamical systems , mathematical physics , statistical physics , probability theory , and mathematical fluid dynamics . His groundbreaking work includes the development of Kolmogorov-Sinai entropy, Sinai's random walk, and the Pirogov-Sinai theory. Dr. Sinai has received numerous accolades, including the Abel Prize (2014) , Wolf Prize (1997) , and Nemmers Prize in Mathematics (2002) . He holds honorary degrees from institutions such as Hebrew University and Warwick University and has been elected to prestigious societies like the American Academy of Arts & Science and the Royal Society of London. As a Senior Researcher at the Landau Institute of Theoretical Physics and a key figure in the mathematics community, Dr. Sinai continues to influence global academia through research, lectures, and mentorship.

Anne-Marie Kermarrecمشاهده پروفایل

پژوهشگر

• Gossip-based networking
• P2P systems
• Social Networks
• +۶ مورد دیگر

Anne-Marie Kermarrec is a Senior Researcher at INRIA (France), with prior roles at Microsoft Research (UK) and the University of Rennes 1 (France). Her work focuses on decentralized systems, including gossip protocols, peer-to-peer networks, social networks, and collaborative filtering. PhD in Computer Science (Rennes, 1996) Her research spans epidemic algorithms, content-based search in large-scale networks, and scalable group communication. She pioneered gossip-based peer sampling and multicast infrastructures like Scribe and SplitStream. Her publications highlight applications in decentralized news recommendation (AllYours), network coding, and privacy-preserving social platforms (Gossple). Key article trends include gossip protocols , P2P systems , social network analysis , decentralized storage , and collaborative filtering . She received the Michel Monpetit Award (2011), ERC Starting Grant (GOSSPLE, 2008-2013), and an ICDCS Best Paper Award (2010). Michel Monpetit Award (2011) ERC PoC AllYours (2013) ERC Starting Grant GOSSPLE (2008-2013) ICDCS Best Paper Award (2010) Kermarrec led program committees for major conferences (e.g., EuroSys, Middleware) and chaired the ACM Software System Award. Her software contributions include AllYours (news recommender), GossipLib (gossip library), and GossipPeer (P2P platform maintenance).

• Probability Theory
• Statistical Mechanics
• Mathematical Physics
• +۸ مورد دیگر

Nathanael Berestycki is a University Professor (Univ.-Prof.) in the Department of Mathematics within the Faculty of Mathematics. His research spans multiple areas of probability theory and mathematical physics with a particular focus on stochastic processes and their connections to statistical mechanics and quantum gravity. Professor Berestycki's research interests center around probability theory, with significant contributions to the understanding of Gaussian free fields, Liouville quantum gravity, and random processes. His work explores deep connections between statistical mechanics and mathematical physics, particularly in the context of conformal invariance and scaling limits. He has made substantial contributions to the theory of dimers, Brownian motion, random graphs, and branching processes, often revealing unexpected connections between seemingly disparate areas of mathematics. Analysis of his recent publications shows a consistent focus on the intersection of probability theory and mathematical physics, with particular emphasis on conformal invariance properties, scaling limits of discrete models, and the mathematical structure of quantum gravity. His work often bridges theoretical developments with concrete applications in statistical mechanics, demonstrating how deep mathematical structures emerge from seemingly simple probabilistic models. The breadth of his research is reflected in publications across top probability and mathematical physics journals. Throughout his career, Berestycki has maintained a high level of productivity with consistent publication output across leading journals in probability theory and mathematical physics. His collaborative work with researchers across institutions demonstrates strong connections within the mathematical community, particularly in the European probability research network.

Joachim Hermissonمشاهده پروفایل

استاد

• Theoretical Population Genetics
• Mathematical Biology
• Molecular Evolution
• +۱۳ مورد دیگر

Joachim Hermisson is a Professor of Mathematics and Biology at the University of Vienna, where he leads the Mathematics and Biosciences Group (MaBS). He is a principal investigator in the SFB Polygenic Adaptation and the founder of the evolVienna network, fostering collaboration in evolutionary biology across Vienna. His academic journey spans physics, philosophy, and evolutionary theory, reflecting a deeply interdisciplinary approach. Education: PhD in Theoretical Physics, University of Tübingen (1999); Habilitation in Evolutionary Biology, LMU Munich (2006) Appointments: Professor at University of Vienna (since 2012); Vienna Science Chair (2007–2012); Emmy Noether Group Leader, LMU Munich (2002–2007) Joachim Hermisson’s research lies at the intersection of theoretical population genetics and mathematical biology. He develops models to understand adaptation, speciation, and the role of polygenic traits under natural selection. His work integrates molecular and phenotypic approaches, focusing on coalescent theory, epistasis, robustness, and evolvability. He is particularly interested in how complex genetic architectures evolve and influence evolutionary trajectories. His recent publications reflect a strong emphasis on polygenic adaptation beyond classical selective sweeps, hybridization, introgression, and the genomic signatures of selection. The articles span mathematical modeling, stochastic processes, and genomic data analysis, demonstrating a consistent focus on theoretical innovation with empirical relevance. Marcus W. Feldman Prize in Theoretical Population Biology (2018) WWTF Vienna Science Chair (2006) Emmy Noether Fellowships (DFG, 2000–2007) Graduate Program Award, VolkswagenStiftung (2006) Doctoral Prize, University of Tübingen (1999) Hermisson has advised numerous PhD and Master’s students, many of whom have gone on to independent research careers at institutions such as MPI Cologne, University of Edinburgh, and University of Vienna. He has secured major grants from FWF, DFG, EU Marie Curie, and ERC programs. He serves as Associate Editor for Genetics and Evolution , and has been a referee for leading journals and funding agencies including Nature, Science, PNAS, and the ERC. He leads the MaBS group, a vibrant research team focused on mathematical modeling in evolutionary biology. The group includes postdocs, PhD students, and collaborators working on polygenic adaptation, speciation, and eco-evolutionary dynamics. The lab participates in the SFB Polygenic Adaptation and the Vienna Graduate School for Population Genetics, contributing to a strong training environment for early-career scientists.

Ecaterina Sava-Hussمشاهده پروفایل

استاد

• Stochastic Processes
• Probability Theory
• Random Walks
• +۵ مورد دیگر

Ecaterina Sava-Huss is a Full Professor in Mathematics at the University of Innsbruck, Austria, affiliated with the Department of Mathematics within the Faculty of Mathematics, Computer Science and Physics. She holds a PhD from Graz University of Technology (2010) and a Habilitation in Mathematics (2019). Previously, she served as an associate professor and tenure-track assistant professor at the University of Innsbruck, and as an assistant professor and visiting scholar at institutions including TU Graz and Cornell University. Her research focuses on stochastic processes, particularly random walks and rotor walks on graphs, fractals, and aggregation models. Key interests include the interplay between structural properties of infinite state spaces and stochastic processes. She has organized conferences such as the Austrian Stochastics Days and is the outreach coordinator for the Institute of Mathematics, engaging in public science initiatives like the MIP Day and Girls' Day. Her funding includes an FWF Grant P34129 (2021–2025) on growth models and quasi-random walks, and a prior Erwin Schrödinger Fellowship (2015–2016). She has supervised numerous PhD and Master’s students, with research topics ranging from branching processes to quantum probability. Her work has been published in journals such as Advances in Applied Probability , Bernoulli , and Journal of Fractal Geometry .

Günter Schneckenreitherمشاهده پروفایل

پژوهشگر

• Computational Statistics
• Epidemiological Modeling
• Agent-Based Simulation
• +۳ مورد دیگر

Günter Schneckenreither is a researcher affiliated with the Computational Statistics research area at Technische Universität Wien (TU Wien). His work spans interdisciplinary applications of computational methodologies to epidemiology, public health, and biomedical modeling, with a focus on agent-based simulations and cellular automata. Research Interests: Heterogeneity in disease transmission, age-dependent SIR models, synthetic data generation for pandemics, and fractional diffusion processes in structured populations. Publications: Recent research includes epidemiological modeling of SARS-CoV-2 immunization levels, melanocytic proliferation simulations, and comparative studies of epidemic modeling frameworks. Projects: Active participant in ARGESIM benchmark studies, integrating cellular automata and differential equations for epidemic simulations. Methodologies: Specializes in dynamic causal modeling, fractal topological structures, and multiplex social network analysis.