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Nabil Gmati is a Professor of Applied Mathematics at the University of Tunis El Manar and a researcher at the ENIT-LAMSIN laboratory of the National Engineering School of Tunis (ENIT) in Tunisia. His research focuses on numerical analysis, mathematical modeling, and computational methods for wave propagation and electromagnetism, with a particular emphasis on finite element methods, domain decomposition, and Schwarz algorithms for solving Maxwell's exterior problems. He has made significant contributions to the coupling of finite elements with integral representations, the analysis of preconditioners for Krylov solvers, and the study of acoustic and electromagnetic scattering. Throughout his career, he has served as a co-editor of international conference proceedings and has been actively involved in numerous ANR projects.
Tiffany Y. Y. Lo is a postdoctoral researcher in mathematical statistics at Stockholm University, having been awarded the prestigious Sverker Lerheden fellowship in 2023 to support her work there. Her research lies at the intersection of probability theory and combinatorics, with a particular focus on random graph models and the application of Stein's method to study their properties. She has investigated the degree distributions of complex networks, including duplication-divergence and uniform attachment models, and has developed new analytical approaches for preferential attachment random trees. Prior to her current role, Lo was affiliated with the Department of Mathematics at Uppsala University, where she conducted part of her postdoctoral research. Her work has been published in leading journals such as Combinatorics, Probability and Computing and Advances in Applied Probability, and she regularly presents her findings at seminars and conferences
Kouji Yano is a Japanese mathematician and Professor in the Department of Mathematics at the Graduate School of Science, The University of Osaka, Japan. He obtained his Ph.D. in Science from Kyoto University in 2006. After holding several academic positions in Japan, he joined Osaka University, where he continues his research and teaching activities in probability theory.
Professor Yano’s work focuses on probability theory and stochastic processes, with particular emphasis on the long-term behavior of random systems. His research lies at the intersection of stochastic analysis and ergodic theory. He studies limit theorems for a wide class of processes, including diffusions, Lévy processes, random walks, and semi-Markov processes.
A central theme of his work concerns scaling limits, fluctuation theory, and occupation time distributions. He has contributed to extensions of classical probabilistic results such as Lévy’s arcsine law and has investigated penalization problems and conditional limit theorems for Markov and Lévy processes.
Through rigorous analytical methods, Professor Yano’s research advances the structural understanding of asymptotic phenomena in stochastic and dynamical systems.
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André is currently an Assistant Professor at the Institute of Mathematics and Statistics of USP (University of São Paulo), and he did his PhD in probability theory under the supervision of the late Antonio Galves — his PhD thesis can be found here. Moreover, he participates in the NeuroMat Project. The aim of the project is to develop a new approach to neuroscience — neuromathematics — conjoining probability theory, combinatorics, statistics, computer science, and neuroscience itself, in order to construct a theory of the brain that accounts for the experimental data gathered by neuroscientific research over the last decades, and more importantly for the recently emerging scientific evidence that biological neural networks behave in an inherently stochastic manner. His main scientific interests lie primarily in the realm of stochastic processes, statistical physics, and statistical/machine learning. His own work concerns past-dependent stochastic dynamics — such as the Galves-Löcherbach model and Elephant Random Walks — with a particular focus on phase transitions and metastability.
Minmin Wang is an Associate Professor of Mathematics at the University of Sussex, UK. She joined Sussex in 2019, after postdoctoral positions in Buenos Aires and Bath. She obtained her PhD in Mathematics in Paris, under the supervision of Nicolas Broutin and Thomas Duquesne. Her research focuses on probability theory, particularly combinatorial probability, random trees and graphs, scaling limits, branching processes, fragmentation and coalescence. She is also a committee member of the Applied Probability Section of the Royal Statistical Society and a member of the editorial board of the Applied Probability Trust.
Siva Athreya is a distinguished Indian mathematician and probability theorist, currently Professor at the Indian Statistical Institute, Bengaluru, and Dean of Research at the International Centre for Theoretical Sciences (ICTS-TIFR).
He obtained his Ph.D. in Mathematics from the University of Washington in 1998, under the supervision of Professor Krzysztof Burdzy.
His research interests lie mainly in probability theory, stochastic analysis, random walks, interacting particle systems, random graphs, and stochastic partial differential equations.
He has made important contributions to probability and its applications in statistical physics, population biology, and related areas.
Professor Athreya is a Fellow of the Indian Academy of Sciences and was awarded the prestigious Shanti Swarup Bhatnagar Prize in Mathematical Sciences in 2012.
He has published extensively in leading international journals and has played a major role in the development of probability research in India and internationally.
Krishanu Maulik is an Associate Professor at the Indian Statistical Institute (ISI) in Kolkata, India.
He studied Statistics at the Indian Statistical Institute, earning his B.Stat. in 1996 and M.Stat. in 1998. He later pursued graduate studies at Cornell University, where he obtained an M.S. in 2001 and a Ph.D. in Statistics in 2002.
His research focuses mainly on applied probability and stochastic processes, with interests in heavy-tailed distributions, regular variation, and Internet traffic modeling. He has published research on topics including random walks, branching processes, urn models, and extreme-value phenomena.
He continues to contribute to research and academic activities in probability and statistics at the Indian Statistical Institute.
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