University Team

Natalia Khanzhina Russian

Natalia Khanzhina



  • Research and publication of research papers;
  • Research supervision;
  • Grant application drafting;
  • Reporting at conferences;
  • Lecturing.


2015 – Bachelor’s degree in applied mathematics and computer science, Faculty of Mechanics and mathematics, Perm State University.

2017 – Master’s degree in Applied Mathematics and Computer Science, Information Technologies and Programming Faculty, ITMO University.

2021 – Postgraduate student, Information Technologies and Programming Faculty, ITMO University.

Advanced Professional Training

2019 – Machine Learning Summer School 2019, Skoltech, Moscow, Russia.

Professional Activity

2019 – present – Team leader, Spetsvideoanalitika

2015 – present – Programmer, machine learning research team of the International Laboratory "Computer Technologies", ITMO University.

2018 – 2019 – Team leader, Huawei Russian Research Center, St. Petersburg.

Professional Interests

Computer vision, deep neural networks, Bayesian networks, active learning, image recognition, image detection, image segmentation, generative adversarial networks, medical image processing, optical character recognition.


2019 – Huawei Award for outstanding research achievements.

2018 - St. Petersburg Government Award.

2017 – UMNIK grant from the Small Innovative Enterprises Assistance Foundation.

2017 – 12UP Sberbank Scholarship.

2017 – Potanin Foundation Scholarship.

2016 – St. Petersburg Government Award.

2016 – Russan Federation Government Scholarship for outstanding research achievements.

Other Professional Activities

Organization and conduct of of SOTAMLS-2020 School, Web Science Summer School 2017, AINL (Artificial Intelligence and Natural Language) conferences in 2017 and 2018.


Programming, jogging, yoga, acroyoga, travelling, reading, cooking, foreign languages, photograph.

Map Building plans

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