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Language Proficiency
English
Contacts
Phone:
8(831) 4169800
Address: Nizhny Novgorod, 25/12 Bolshaya Pecherskaya Ulitsa, room 301
Timetable
SPIN-RSCI: 4025-6026
ORCID: 0000-0001-6196-0564
ResearcherID: A-1157-2014
Scopus AuthorID: 42962245900
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Supervisor
N. Aseeva
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Andrey Savchenko

  • Andrey Savchenko has been at HSE University since 2008.

Education, Degrees and Academic Titles

  • 2016

    Doctor of Sciences* in System Analysis, Management and Information Processing
    Alexeev Nizhny Novgorod State Technical University
    Thesis Title: Audiovisual information classification methods based on the segment homogeneity testing

  • 2015
    Associate Professor
  • 2010

    Candidate of Sciences* (PhD) in Mathematical Modelling, Numerical Methods and Software Complexes
    HSE University
    Thesis Title: Development of Directed Alternatives Enumeration Method in the Classification Problem Using Theory Information Approach

  • 2008

    Degree
    Nizhny Novgorod State Technical University

* Candidate of Sciences
According to the International Standard Classification of Education (ISCED) 2011, Candidate of Sciences belongs to ISCED level 8 - "doctoral or equivalent", together with PhD, DPhil, D.Lit, D.Sc, LL.D, Doctorate or similar. Candidate of Sciences allows its holders to reach the level of the Associate Professor.
* Doctor of Sciences
A post-doctoral degree called Doctor of Sciences is given to reflect second advanced research qualifications or higher doctorates in ISCED 2011.

Continuing education / Professional retraining / Internships / Study abroad experience

NVIDIA DLI Certificate – Fundamentals of Deep LearningIssuing Organization: NVIDIA Deep Learning Institute (February 8, 2022)

Awards and Accomplishments

Best Teacher – 2019, 2018

Young Faculty Support Program (Group of Young Academic Professionals)
Category "Future Professoriate" (2014-2015)
Category "New Lecturers" (2012-2013)

Courses (2017/2018)

Editorial board membership

2019: Member of the Editorial Board, International Journal of Applied Mathematics and Computer Science.

Grants

  • - Efficient audiovisual analysis of dynamical changes in emotional state based on information-theoretic approach (2020-2023), Russian Science Foundation project 20-71-10010 (Leader)
    - Methods and computationally efficient algorithms for computer vision and multimodal data analysis (2022), Project of HSE University (Leader)
    - Neural network algorithms for video-based analysis of students' emotional state and engagement (2021-2022), Project of HSE AI Center (Leader)
    -AutoML in image recognition on mobile devices (2021). Project of Huawei in HSE-NN (Leader)
    - Project of Huawei in HSE-NN related to computer vision (2020), topic under NDA (Leader)
    - Continuation of the project of Huawei in HSE-NN related to computer vision (2021), topic under NDA (Leader)
    - Deep Learning for User Modeling and Preference Prediction in Textual and Visual Data (2020). Project of Samsung-PDMI Joint AI Center (Senior researcher)
    - Visual Preferences Prediction in Visual Data on Mobile Devices (2018-2019). Project of Samsung-PDMI Joint AI Center (Leader)
    - Efficient image recognition medium-sized databases (2017-2018). Russian Federation President grant for teams lead by young doctor of science (Leader)
    - Clustering and Search Techniques in Large Scale Networks (2014-2015, 2017-2018), Russian Science Foundation project 14-01-00039. Joint project with researchers from USA, Italy and France (Senior researcher)
    - Efficient multimedia recognition for users preferences prediction on mobile phones  (2019-2020). Group “Analysis of multimedia data of the users of mobile devices” (Leader): http://nnov.hse.ru/bipm/amdmobile
    - Development of efficient classification methods for large multimedia databases (2017-2018). Group “Analysis of multimedia data” (Leader), http://nnov.hse.ru/bipm/amd
    - Efficient speech recognition for voice control systems (2012-2013). Grant of Russian Government. Joint project with IstraSoft company
    - Сomputer-aided language learning systems (2011-2013). Grant of Foundation For Assistance To Small Innovative Enterprises. Joint project with IstraSoft company (Moscow)

Patents

  • U.S. Patent No. 11,222,233. Savchenko A. V. "Method and apparatus for multi-category image recognition." Current Assignee: Samsung Electronics Co Ltd. 11 Jan. 2022.
  • U.S. Patent No. 11,222,196. Savchenko A. V. "Simultaneous recognition of facial attributes and identity in organizing photo albums." Current Assignee: Samsung Electronics Co Ltd. 11 Jan. 2022.

The whole list of publications

Publications

202210

202111

202012

201914

201812

20177

20164

20152

20144

20134

20124

20111

Chapter Savchenko A. Image Recognition with a Large Database Using Method of Directed Enumeration Alternatives Modification, in: Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011. Proceedings / Ed. by S. Kuznetsov, D. Slezak, D. H. Hepting, B. Mirkin. Vol. 6743. Berlin, Heidelberg : Springer, 2011. P. 338-341.

20101

Chapter Savchenko A. Image retrieval using minimum information discrimination criterion, in: ACIT - Control, Diagnostics, and Automation (ACIT-CDA 2010) / Сост.: Y. I. Shokin, I. Bychkov, O. Potaturkin. Anaheim : ACTA Pre, 2010. P. 345-350.

20091

Article Savchenko A. Method of Directed Enumeration of Alternatives in the Problem of Automatic Recognition of Half-Tone Images // Optoelectronics, Instrumentation and Data Processing. 2009. Vol. 45. No. 3. P. 255-261.

Employment history

- 2005-2012. Tecomgroup (software engineer/project leader)

- since 2008.  HSE University in Nizhny Novgorod (lecturer)

- 2014-2018. Nizhny Novgorod State Technical University (lecturer)

- 2018-2020. St. Petersburg Department of Steklov Institute of Mathematics (senior researcher in Samsung-PDMI Joint AI Center)


Timetable for today

Full timetable

Russian Scientists Teach AI to Analyse Emotions of Participants at Online Events

HSE researchers have proposed a new neural network method for recognising emotions and people's engagement. The algorithms are based on the analysis of video images of faces and significantly outperform existing single models. The developed models are suitable for low-performance equipment, including mobile devices. The results can be implemented into video conferencing tools and online learning systems to analyse the engagement and emotions of participants. The results of the study were published in IEEE Transactions on Affective Computing.

‘The Potential of Computer Vision Technologies is Hard to Overestimate’

Admission to Russia's first Master of Computer Vision online programme at HSE University has been extended until 20th September. The programme will be delivered entirely in English and has been developed by HSE researchers and leading experts from Huawei, Itseez3D, Intel, Harman, and Xperience.ai, who are all involved in cutting-edge research in the field of computer vision.

Applied Projects and Deep Fakes: How Computer Vision Is Taught at HSE University

Applications for the HSE University Master of Computer Vision, the only English-language online computer vision programme in Russia, are open until August 10. The programme has been developed by researchers of the Faculty of Informatics, Mathematics, and Computer Science at HSE University in Nizhny Novgorod together with researchers in the field of computer vision from leading companies in the industry: Huawei, Itseez3D, Intel, Harman, Xperience.ai, Sber, Newstream and Deelvin Solutions. Andrey Savchenko, Academic Supervisor of the programme and Professor at the Department of Information Systems and Technologies, told the HSE News Service about how teaching competencies in the field of computer vision changes our view of the world.

HSE University Researchers Propose Algorithm to Determine Preferences of Smartphone Users

Mathematicians from HSE University in Nizhny Novgorod have developed a new way to predict the preferences of mobile device users. The method, which is 2–12% more accurate than known analogues, is based on simultaneous recognition of objects, faces and scenes in a smartphone’s photo gallery and on a remote server. The algorithm can be used to personalise services and offer recommendations tailored to a particular person. The article was published in the Pattern Recognition journal.

‘HSE Academic Environment Helped Me to Make a Soft Transition to the New Era of Computer Vision’

This academic year, HSE University launched the first online master's programme ‘Master of Computer Vision’ supervised by Professor Andrey Savchenko. Alexander Rassadin, graduate of the Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) and active participant of many CV projects, is delivering the course ‘Deep Learning for Computer Vision’ as part of the curriculum for this new programme. Alexander told us how he once wrote an algorithm for robot movement, the moment he realized what his dream job was and why analyzing sports games is more interesting than predicting a tsunami.

Master of Computer Vision: New Online Programme on Coursera

In September 2021, HSE University’s Faculty of Informatics, Mathematics and Computer Science at HSE Nizhny Novgorod launched the new applied degree programme Master of Computer Vision. Developed in collaboration with leading experts in the field of computer vision - Huawei, Itseez3D, Intel, Harman, and Xperience.ai – the programme is available on the Coursera platform and open to applicants from all over the world. Andrey Savchenko, Academic Supervisor of the new programme, talked to The HSE Look about how it came to be and what are its advantages.

HSE’s new Master of Computer Vision program on Coursera aims to train the next generation of computer vision talent online

HSE University-Nizhny Novgorod to Launch Online Master of Computer Vision Programme

This year, HSE University in Nizhny Novgorod will launch its Master of Computer Vision programme on Coursera. The fully online programme has been developed by leading experts from Huawei, ItSeez3D, Intel, Harman, and Xperience AI. It will be taught in English and is open to applicants from all countries. The closing date for applications is August 16, 2021.

HSE University-Nizhny Novgorod to Launch Online Master of Computer Vision Programme

This year, HSE University in Nizhny Novgorod will launch its Master of Computer Vision programme on Coursera. The fully online programme has been developed by leading experts from Huawei, ItSeez3D, Intel, Harman, and Xperience AI. It will be taught in English and is open to applicants from all countries. The closing date for applications is August 16, 2021.

Faster and More Precise: Researcher Improves Performance of Image Recognition Neural Network

A scientist from HSE University has developed an image recognition algorithm that works 40% faster than analogues. It can speed up real-time processing of video-based image recognition systems. The results of the study have been published in the journal Information Sciences.

"Master of Computer Vision" team started scientific collaboration with Huawei Technologies Co.

Andrey Savchenko, academic supervisor of “Master of Computer Vision" programme at HSE University has become a leader of an R&D project funded by Huawei Technologies Co.

First online Open Doors Day of "Master of Computer Vision"

You may have had great desire to visit all the unis you’re thinking of applying to, notebook in hand – and now you have a great option of the virtual open days on offer at the HSE University across online master`s programmes!

eSTARS 2020 Conference to Discuss Education in the Context of Global Digitalization

Jointly organized by HSE University and Coursera, the international eLearning Stakeholders and Researchers Summit (eSTARS 2020) will be held from December 1 – 2, 2020. It will be the third time the organizers bring together international stakeholders from governments, the academic community, busines, as well as researchers and experts to discuss the present and future of online education.

Neural Networks Taught to Recognize Similar Objects on Videos without Accuracy Degradation

HSE Researchers Teach Neural Networks to Determine Crowd Emotions

Scientists Teach the Neural Network to Carry Out Video Facial Recognition — Using a Single Photo

Researchers at the Higher School of Economics have proposed a new method of recognizing people on video with the help of a deep neural network

Internet Search Possible without Search Engines

Specialists from the HSE’s Nizhny Novgorod campus plan to create a new system of structuring data and accounting of webpages. The Laboratory of Algorithms and Technologies for Networks Analysis has won a grant from the Russian Science Foundation to study ‘Clustering and Search Techniques in Large Scale Networks.’