Skoltech is an international graduate research-focused university that was founded by the group of world-renowned scientists in 2011. Skoltech's curriculum focuses on technology and innovation, offering Master's programs in 11 technological disciplines. Students receive rigorous theoretical and practical training, design their own research projects, participate in internships and gain entrepreneurial skills in English. The faculty is comprised of current researchers with international accreditation and achievements.

Stochastic processes and pattern formation

Top-level researchers will present and discuss their latest results in stochastic (random) processes, active matter and pattern formation. With an increase in efficiency of numerical methods the simulations allow to tackle a wider reach of time and length scales. New methods such as machine learning approaches present novel ways to solve old unresolved problems. The discussion of  this new opportunities is one of the main goals of the meeting. Everyone is warmly invited to attend and contribute their point of view to the discussions.


10:15-10:30 Opening
10:30-10:55 Sergey Nechaev, CNRS, Paris, France, “Lamplighter Model of a Copolymer Absorption”.

Alexander Valov, N.N. Semenov Institute of Chemical Physics of RAS, Moscow, Russia, “On Anomalous Statistics of Some Extreme Random Processes”.

11:15-11:40 Gleb Oshanin, CNRS, Paris, France, “Spectral Content of a Single Trajectory”.
12:10-12:35 Aleksei Chechkin, Uni Potsdam, Potsdam, Germany, “Brownian Yet non-Gaussian Diffusion in a Heterogenous Environment”.
12:35-12:55 Vittoria Sposini, Uni Potsdam, Potsdam, Germany, “Mimicking Heterogeneous Diffusion with Time-Dependent Random Diffusivity”.
12:55-13:15 Anna Bodrova, Skoltech, Moscow, Russia, “Resetting Processes with non-Instantaneous Return”.
13:15-14:15 Lunch
14:15-14:40 Mike Tamm, HSE, Moscow, Russia, “Geometrical Selection in Growing Needles”.
14:40-15:00 Saeed Osat, Skoltech, Moscow, Russia, “K-core of Complex Network”.
15:00-15:20 Kirill Polovnikov, Skoltech, Moscow, Russia, “Non-Backtracking Walks on Stochastic Networks and Detection of Clusters”.
15:20-15:40 Vladimir Palyulin, Skoltech, Moscow, Russia, “Blind Search Properties of Lévy Motions and Brownian Diffusion”.
15:40-16:10 Coffee Break
16:10-16:35 Nikolai Brilliantov, Skoltech, Moscow, Russia, “Reinforcement Learning View on the Collective Motion of Animals: why they swirl and how they group”.
16:35-16:55 Alexander Osinsky, Skoltech, Moscow, Russia, “Low-rank Monte-Carlo Method for Temperature-Dependent Smoluchowski Equations”
16:55-17:20 Closing discussion




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