个人简历

Daniel Kious is Visiting Assistant Professor at NYU Shanghai. Prior to joining NYU Shanghai, he was Postdoc at the EPFL, in Lausanne, Switzerland. He holds a Ph.D. from Université de Toulouse, France, and an M.Sc. from Université Pierre et Marie Curie, Paris VI. Professor Kious’s research interests are Random Walks in Random Environment, self-interacting random walks and Processes with Reinforcement.
PhD, Self-interacting Processes and random environments,, Université de Toulouse, 2014
M.Sc., Probability, Université Pierre et Marie Curie, Paris VI, 2011

研究领域

Self-interacting random walks
Random walks in random environment
Reinforcement learning

近期论文

D. Kious and V. Sidoravicius, Phase transition for the Once-reinforced random walk on Z^d-like trees, 2016, preprint.
A. Fribergh and D. Kious, Scaling limits for sub-ballistic biased random walks in random conductances, 2016, preprint.
D. Kious and P. Tarrès, Reinforcement learning in social networks, 2015, preprint.
A. Fribergh and D. Kious, Local trapping for elliptic random walks in random environments in Z^d, 2014, Probability Theory and Related Fields.
D. Kious, Stuck Walks: a conjecture of Erschler, Tóth and Werner, 2016, The Annals of Probability, 44(2), 883--923.