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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.