Yaroslav Kholodov

Doctor of Sciences (Habilitation), MIPT, Russia, Full Professor, Institute of Data Science and Artificial intelligence, Head, Laboratory of Data Analysis and Bioinformatics

  • Образование:

    Applied Mathematics and Physics

From 2001 Yaroslav Kholodov had been a senior lecturer at the Department of Computational Mathematics of the Moscow Institute of Physics and Technology (MIPT). In 2007, he became an Associate Professor. During 2009-2012 Yaroslav Kholodov had been a Chairman of the Organizing Board of the Annual MIPT School in High-Performance Computing for Young Scholars. During 2010-2012 Yaroslav had been the Head of the MIPT research and educational center “High-Performance Computing and Distributed Computer Systems”. Yaroslav gave lectures at the Department of Computational Mathematics of MIPT on the following topics: Computational Mathematics Non-Linear Computing Numerical Modeling of Traffic Flows Dynamics Yaroslav co-authored 3 study guides and one book. 4 post-graduate students of MIPT received PhDs in Mathematical Modeling, Numerical Methods and Software Complexes under his scientific supervision. Over 25 MIPT students received Master and Bachelor’s degrees in Applied Computing and Software Complexes. Key research area is represented by intelligent analysis of traffic data and road traffic modeling using adaptive control algorithms. Today safe and effective operation of intelligent traffic control systems requires tools for acquisition and analysis of data about current traffic conditions. Assimilation of large data volumes regarding road traffic received from different sources is among the top areas of this research since it allows to enhance the accuracy of data mining by means of generalization of measurements using numerous approaches. Yaroslav Kholodov has authored over 50 research works published in peer-reviewed journals, and owns 17 state registration certificates of computer programs. Yaroslav is a member of review committees of the following journals: Mathematical Modeling; Computer Research and Modeling.

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