Ph.D. Supervisor in Mathematics and Artificial Intelligence

Kryanev Aleksandr Vitalievich — Doctor of Physical and Mathematical Sciences, professor.

Editor in chief of "International Journal of Nuclear Governance, Economy and Ecology".

A member of editorial board of "International Journal of Nuclear Energy".

University: National Research Nuclear University MEPhI (Moscow Engineering Physics Institute).

Language proficiency: Limited Working English; Fluent French.

Programme: Applied Mathematics and Information Science (Nonlinear differential equations).

Direction: 09.06.01 Computer Science and Computer Facilities.

List of Research Projects (participation/management):

Project of the thematical plan of the State Corporation "Rosatom":

"Development of the optimal decision support system at realisation of removal from service of nuclear facility".

Principal Investigator.

List of possible research topics:

  1. Multicriterial estimations of complex objects and systems in the face of uncertainity.
  2. Optimization problems in the face of uncertainity.

Field of Study: Mathematical methods for processing uncertain data.

Research interests: Mathematical theory of nuclear reactors, mathematical methods for processing uncertain data, statistical methods for solving ill-posed problems, including methods for taking into account additional information about the desired solutions.

Specified requirements for a candidate:

A candidate for postgraduate study must be proficient at the level of a graduate of a master's degree in the methods of the following disciplines:

  • optimization methods;
  • theory of probability and mathematical statistics;
  • computational mathematics;
  • know modern programming languages.

Number of publications in Web of Science and Scopus:

Number of publications in SCOPUS - 50

My publications:

  • Alexander Kryanev, Gleb Lukin, David Udumyan. Metric Analysis as a Tool for Interpolating Multivariate Functions in the Case of an Information Lack. DCCN 2016: Distributed Computer and Communication Networks pp 553-564, DOI: 10.1007/978-3-319-51917-3_47.
  • V. Kryanev, V. V. Ivanov, L. A. Sevastianov, D. K. Udumyan. A Review of Metric Analysis Applications to the Problems of Interpolating, Filtering and Predicting the Values of Onevariable and Multivariable Functions. DCCN 2018: Distributed Computer and Communication Networks pp 457-468, DOI: 10.1007/978-3-319-99447-5_39.
  • V. Kryanev, V. V. Ivanov, A. O. Romanova, L. A. Sevastyanov & D. K. Udumyan. Separation of Trend and Chaotic Components of Time Series and Estimation of Their Characteristics by Linear Splines. Physics of Particles and Nuclei Letters volume 15, pages 194–197 (2018).
  • V. Kryanev, V. V. Ivanov, L. A. Sevastyanov, D. K. Udumyan. Reconstruction of Multivariable Functions Under Uncertainty by Means of the Scheme of Metric Analysis. ICSM-5 2020: Recent Developments in Stochastic Methods and Applications, pp 269-279.

Results of intellectual activity:

5 patents in past 3 years.