Welcome to CDISE!
Skoltech Center for Computational and Data-Intensive Science and Engineering (CDISE) aims at the conduction of cross-cutting interdisciplinary research driven by modern applications in the fields of computational and data sciences. Counting 31 professors, 50+ researchers, 120+ PhD students, and 230+ MSc students, CDISE has accumulated various research groups with the expertise unique in Russia and competitive at the world level in their prospective areas. The Center is actively involved in collaboration with other Skoltech CREIs to provide expertise on data-intensive computational tasks.
The Center holds leading positions in Big Data processing, Machine Learning, and Artificial Intelligence – from theoretical foundations to application in various fields including supercomputer or High-Performance Computing (HPC) infrastructure. Find out more.
Another significant part of CDISE is the Center of Excellence (CoE) in Wireless Technologies and the Internet of Things under the National Technology Initiative (NTI). The CoE develops a cross-cutting WT or IoT technologies used for a multitude of purposes in a spectrum of diverse markets in Russia, such as the power sector, industries, healthcare, agriculture, etc. Find out more.
Educational programs
CDISE powers three 2-year MSc programs and one 4-year PhD program at Skoltech:
- MSc – Data Science (DS)
- MSc – Advanced Computational Sciences (ACS)
- MSc – Internet of Things and Wireless Technologies (IoT&WT)
- PhD – Computational and Data Science and Engineering (CDSE)
Research areas and groups
Find out more about CDISE research groups:
- Advanced Data Analytics in Science and Engineering (ADASE), Prof. Evgeny Burnaev
- Advanced Multiscale Modeling Laboratory, Prof. Nikolay Brilliantov, Prof. Alexey Vishnyakov, Prof. Vladimir Palyulin
- Artificial Intelligence in Dynamic Action, Prof. Pavel Osinenko
- Applied Information Theory Group, Prof. Alexey Frolov
- Cognitive Computing Hardware, Prof. Dmitry Yudin
- Computational Imaging, Prof. Dmitry Dylov
- Computational Molecular Science, Prof. Natallia Strushkevich
- Computer Vision, Prof. Victor Lempitsky
- High-Performance Computing (HPC), Prof. Sergey Rykovanov
- iMolecule, Prof. Petr Popov
- Internet of Things (IoT) Lab, Prof. Dmitry Lakontsev
- Laboratory of Applied Research Skoltech-Sber (LARSS), Dr. Alexey Zaytsev
- Laboratory “Tensor networks and deep learning for application in data mining”, Prof. Andrzej Cichocki
- Machine Learning and Algorithms in Bioinformatics, Prof. Dmitry Yarotsky, Dr. Gregory Kucherov
- Mass Spectrometry Lab, Prof. Evgeny Nikolaev, Prof. Yury Kostryukevich
- Mobile Robotics Lab, Prof. Gonzalo Ferrer
- Multidimensional Inverse and Ill-posed Problems (MIIP), Prof. Nikolay Koshev
- Natural Language Processing, Prof. Alexander Panchenko
- Scientific Computing, Prof. Ivan Oseledets
- Statistical Machine Learning, Prof. Maxim Panov
- Structural Learning Group, Prof. Vladimir Spokoiny
- Wireless Sensing, Prof. Andrey Somov