Welcome to the website of Scientific Computing group at Skoltech
Our research focuses on developing breakthrough numerical techniques for solving a broad range of high-dimensional problems. The key ingredient is the effective decomposition of multidimensional arrays (tensors). Applications include:
- Solution of multidimensional integral and differential equations on fine grids (multiscale problems)
- Ab initio computations in quantum chemistry
- Solution of multiparametric problems
- Data mining and compression.
Our recent interests also involve graph mining, recommender systems and topological shape optimization.
Group members at Skoltech
- Ivan Oseledets — Associate Professor, Google Scholar
- Maxim Rakhuba — junior researcher
- Denis Kolesnikov — PhD student
- Gleb Ryzhakov — research scientist
- George Ovchinnikov — research scientist
- Igor Ostanin — research scientist
- Evgeny Frolov — PhD student
- Andrey Chertkov — PhD student
- Alexander Fonarev — PhD student
- Marina Munkhoeva — PhD student
- Alexander Katrutsa — PhD student
- Alexey Boyko — PhD student
- Valentin Khrulkov — PhD student
- Artem Nikitin — PhD student
- Ilya Fastovets — PhD student
- Evgeny Ponomarev — PhD student
- Daniil Merkulov — PhD student
- Oleksii Grinchuk — Research Intern
External group members
- Daria Sushnikova — PhD student, INM RAS
- Maxim Kuznetsov — PhD student, CMC MSU
- Pavel Kharyuk — PhD student, CMC MSU
Collaborators
- Eugene Tyrtyshnikov — INM RAS
- Boris Khoromskij — MPI MIS
- Christian Lubich —- University of Tubingen
- Reinhold Schneider — TU Berlin
- Andrzej Cichocki — RIKEN, Skoltech
- Vadim Olshevsky — University of Connecticut
- Ekaterina Muravleva — Skoltech
- Sergey Dolgov — INM RAS, MPI MIS
- Vladimir Kazeev — Stanford University
- Stanislav Stavtsev — INM RAS
- Mike Botchev — Keldysh Institute of Applied Mathematics
- Pierre-Antoine Absil — UCLouivan
- Rohit Ramachandran — Rutgers University
- Anwesha Chaudhury — Rutgers University
