Research topics 2017 » History » Version 2
Version 1 (Evgeniy Pavlovskiy, 2017-11-17 00:41) → Version 2/23 (Evgeniy Pavlovskiy, 2017-11-17 00:45)
h1. Research topics
h2. Sviridenko, Dmitry Ivanovich [SDI]. H2.
Doctor of Sciences, leading researcher at SDAML lab NSU, leading researcher at Sobolev Institute of Mathematics.
Contacts: dsviridenko47@gmail.com
1. Semantic contracts development: semantic models, blockchain, semantic programming [SDI]
h2. Vityaev, Evgeniy Evgenievich
Contacts: vityaev@math.nsc.ru
Doctor of Sciences, leading researcher at Sobolev Institute of Mathematics, leading researcher at SDAML lab NSU.
Keyword: ScientificDiscovery (can be found via every search engine). http://math.nsc.ru/AP/ScientificDiscovery
2. New forecasting method development in Finance [VEE]
3. Logically probabilistic deep learning [VEE]
4. Human comprehension and new notion formation modeling [VEE]
h2. H2. Kolonin, Anton Germanovich [KAG], Ph.D.
Contacts: akolonin@aigents.com.
5. Proof-or-Reputation consensus algorithm for distributed computing (mathematical study of security and simulation modeling)
6. Structuring society and figuring out opinion leaders using online communication data (using machine learning and different data sources and subject domains)
7. Extracting emotional contexts from online communication data (using machine learning and different data sources and subject domains)
8. Unsupervised learning of linguistic patterns and grammar (using machine learning and training corpora from different domains and languages)
h2. Sviridenko, Dmitry Ivanovich [SDI]. H2.
Doctor of Sciences, leading researcher at SDAML lab NSU, leading researcher at Sobolev Institute of Mathematics.
Contacts: dsviridenko47@gmail.com
1. Semantic contracts development: semantic models, blockchain, semantic programming [SDI]
h2. Vityaev, Evgeniy Evgenievich
Contacts: vityaev@math.nsc.ru
Doctor of Sciences, leading researcher at Sobolev Institute of Mathematics, leading researcher at SDAML lab NSU.
Keyword: ScientificDiscovery (can be found via every search engine). http://math.nsc.ru/AP/ScientificDiscovery
2. New forecasting method development in Finance [VEE]
3. Logically probabilistic deep learning [VEE]
4. Human comprehension and new notion formation modeling [VEE]
h2. H2. Kolonin, Anton Germanovich [KAG], Ph.D.
Contacts: akolonin@aigents.com.
5. Proof-or-Reputation consensus algorithm for distributed computing (mathematical study of security and simulation modeling)
6. Structuring society and figuring out opinion leaders using online communication data (using machine learning and different data sources and subject domains)
7. Extracting emotional contexts from online communication data (using machine learning and different data sources and subject domains)
8. Unsupervised learning of linguistic patterns and grammar (using machine learning and training corpora from different domains and languages)