Eight new candidates of computer science in 2020

We are proud to announce that in 2020 eight candidates of computer science defended their theses at the Faculty. There have been six candidate defences in 2019. Prior to 2018, there were only degrees of candidate and doctor of technical or physical-mathematical sciences in Russia. Degrees in computer science have become possible due to HSE University's ability to grant its own degrees.

Candidates of computer science:

• Kirill Neklydov

Thesis: Bayesian approach in deep learning: refinement of discriminative and generative models
Academic supervisor: Dmitry Vetrov

• Alexander Turin

Thesis: Development of a method for solving structural optimization problems
Academic supervisor: Alexander Gasnikov

• Anna Sokolova

Thesis: Neural network model for human recognition by gait indifferent types of video
Academic supervisor: Anton Konushin

• Nikita Kazeev

Thesis: Machine Learning for particle identification in the LHCb detector
Academic supervisors: Barbara Sciascia, Andrey Ustyuzhanin, Davide Pinci

• Maxim Borisyak

Thesis: Machine learning methods for data quality monitoring in natural sciences
Academic supervisor: Andrey Ustyuzhanin

• Sergey Shershakov

Thesis: Methods and tools for enhancing the efficiency of process mining algorithms
Academic supervisor: Irina Lomazova

• Pavel Sulimov

Thesis: Learning generative probabilistic models for mass spectrometry data identification
Academic supervisor: Attila Kertesz-Farkas

• Tatyana Malakhova

Thesis: Interestingness measures of closed patterns for data mining and knowledge discovery
Academic supervisor: Sergey Kuznetsov

Congratulations and best wishes to the new candidates!