Winter School on Data Analytics (DA-2016)
- Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA)
- Keldysh Institute of Applied Mathematics of Russian Academy of Science (IPM)
Dates: December 17-19, 2016.
Place: Nizhny Novgorod
The target groups of the school are students and young researchers interested in modern trends in data analytics, including big data processing and new machine learning and data mining techniques.
Registration deadline: December 04
Giuseppe Nicosia, University of Catania, Italy, Big Data versus Small Data, Optimization and Learning in Data Science
Alexander Troussov, RANEPA, Russia, Big data: towards building custom in-house solutions, Applications of techno-social systems in economy and governance
Yury Orlov, Keldysh Institute of Applied Mathematics, Kinetic approach to the analysis of non-stationary time-series, Statistical pattern recognition for the Big Data problems shown on example of text analysis
Ernesto Estrada, University of Strathclyde Glasgow, Communicability and geometry of complex networks, Diffusion processes on complex networks
Panos Pardalos, University of Florida and HSE, Robust Machine Learning Optimization Models with Data Uncertainties
Viktor Kantor, Yandex Data Factory, Recommender systems in retail: formulation of the problem and popular techniques
Ivan Kuzmin, Andrey Nikolaev, INTEL, Towards new horizons with Machine Learning solutions on Intel® IA
Roman Belavkin, Middlesex University, UK, Shannon Information and Entropy in the Analysis of Independent Components and Clusters
|Giuseppe Nicosia||Associate Professor of Computer Engineering Dept of Mathematics & Computer Science University of Catania|
|Panos Pardalos||Center for Applied Optimization (CAO), University of Florida, USA|
Laboratory of Algorithms and Technologies for Networks Analysis (LATNA)
National Research University, Higher School of Economics, Russia
Dr. Alexander Troussov is Director of the International Research Laboratory for Mathematical Methods for Social Network Mining at the Russian Presidential Academy of National Economy and Public Administration. Former Chief Scientist of IBM Dublin Center for Advanced Studies (2000-2013), one of the creators of the major IBM linguistic technology LanguageWare, and leader of IBM team participation in the three year integrated 6th framework EU project NEPOMUK, he has published more than 40 peer reviewed journal and conference papers and has 6 patents.
Professor Ernesto Estrada, MAE
1964 Chair of Mathematics
Chair in Complexity Sciences
Department of Mathematics and Statistics University of Strathclyde Glasgow, G1 1XQ, U.K.
Editor-in-Chief of the "Journal of Complex Networks"
Oxford University Press
ROLE: Associate Professor in Informatics
SCHOOL: Science & Technology
DEPARTMENT: Computer Science
Ivan Kuzmin is an Engineering Manager within SSG Intel Performance Libraries team with 10+ years of experience in software development. His team contributes statistical components in a range of Intel SW products and in charge of Intel® Data Analytics Acceleration Library development. Ivan received master’s degree in Mathematics and Computer science and PhD in Political science from Nizhny Novgorod State University.
Andrey Nikolaev is a Principal Engineer within SSG Intel Performance Libraries team and architect for Intel® Data Analytics Acceleration Library and statistical/data processing capabilities of Intel® Math Kernel Library. Andrey's work is related to design, development and optimization of statistical algorithms, optimization of financial algorithms, modeling and data analysis. Andrey contributed into enhancing security capabilities of several generations of Intel platforms by designing relevant stochastic models and algorithms. His proposals are included into STAC A2 specifications defining a set of financial workloads for comparison of solutions from different vendors. Andrey holds primary degree in Applied Mathematics from Lomonosov Moscow State University, branch in city of Ulyanovsk and Ph.D. in Mathematical Cybernetics from Ulyanovsk State University.
Viktor Kantor, YANDEX, graduated MIPT in the Department of Innovations and High Technology, in Data Analysis master-course, co-organized with Yandex. Currently works in Yandex. Primary interests are machine learning and educational projects (in particular, forming educational processes of ABBYY master courses in MIPT). Viktor teaches at Department of Innovations and High Technology in MIPT courses of data analysis, machine learning, “Automatic Text Processing”, “Text Analysis” and “Image Analysis”. Also teaches “Python programming language and libraries for data analysis” and “Mathematical basics of machine learning”.
Co-Chairs of the school:
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