Andrey Savchenko
- Leading Research Fellow: Faculty of Computer Science / AI and Digital Science Institute / Laboratory for Theoretical Modelling in AI
- Leading Research Fellow: HSE Campus in Nizhny Novgorod / Laboratory of Algorithms and Technologies for Networks Analysis
- Professor: HSE Campus in Nizhny Novgorod / Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod) / Department of Information Systems and Technologies
- Programme Academic Supervisor: Artificial Intelligence and Computer Vision
- Andrey Savchenko has been at HSE University since 2008.
Education, Degrees and Academic Titles
Alexeev Nizhny Novgorod State Technical University
Thesis Title: Audiovisual information classification methods based on the segment homogeneity testing
HSE University
Thesis Title: Development of Directed Alternatives Enumeration Method in the Classification Problem Using Theory Information Approach
Nizhny Novgorod State Technical University
Alexeev Nizhny Novgorod State Technical University
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.
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 Learning. Issuing Organization: NVIDIA Deep Learning Institute (February 8, 2022)
Awards and Accomplishments
Best Teacher — 2018–2019, 2018
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "Future Professoriate" (2014–2015)
Category "New Lecturers" (2012–2013)
Courses (2024/2025)
- Mentor's Seminar (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 1-4 module)Eng
- Mentor's Seminar (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 1-4 module)Eng
- Past Courses
Courses (2023/2024)
- Data Management (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 1-4 module)Eng
- Mentor's Seminar (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 1-4 module)Eng
Courses (2022/2023)
- 2D image processing (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 2 module)Eng
- 2D image processing (Mago-Lego; 2 module)Eng
- Data Management (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 1-4 module)Eng
- Mentor's Seminar (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 1-4 module)Eng
- Project seminar "Computer vision for mobile devises" (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 3 module)Eng
- Project seminar "Deep learning for computer vision" (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 4 module)Eng
- Research Seminar "Data Scraping" (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 2 year, 4 module)Eng
Courses (2021/2022)
- 2D image processing (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 2 module)Eng
- Data Management (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 1-4 module)Eng
- Research Seminar "Methods of Data Mining" (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 3, 4 module)Rus
Courses (2020/2021)
- Data Management (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 1-4 module)Eng
- Machine Learning (Bachelor’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 3 year, 2 module)Rus
- Research Seminar "Methods of Data Mining" (Master’s programme; Faculty of Informatics, Mathematics, and Computer Science (HSE Nizhny Novgorod); 1 year, 3, 4 module)Rus
Editorial board membership
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)
- Continuation of the project of Huawei in HSE-NN related to computer vision (2022), 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.
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)
- Co-chair of the track "Analysis of images and videos" in AIST (International Conference on Analysis of Images, Social Networks and Texts")
‘In the Future, I Expect Rapid Development of Professions Related to Prompt Engineering’
The English-language programme of HSE Online ‘Master of Computer Vision’ will change its name to ‘Artificial Intelligence and Computer Vision’ in 2024. Andrey Savchenko, the programme academic supervisor, shares how the new name will affect the programme semantics, why AI has become the main federal trend in the field of information technology, and what tasks graduates will solve.
Evolution of Face ID Industry: Insights from Online Programme Master of Computer Vision
The online Master’s programme ‘Master of Computer Vision’ recently held a webinar ‘Face recognition. How does it work and how does it break?‘ as part of its admission campaign, with the participation of the programme’s business partner, Huawei. Participants learned about the basic principles of Face ID algorithms and the features of face recognition technologies relative to other deep learning models, as well as some of the tricks that can mislead artificial intelligence systems.
Students from HSE University in Nizhny Novgorod Create Web Service for Recognising Emotions
A team of students from HSE University in Nizhny Novgorod and Minin University have created a mobile application and a web service for recognising emotions in photographs. This solution can be useful in marketing, education, personnel management—any areas where the quality of interpersonal communication matters.
Master’s in Computer Vision Students Defend Term Papers for First Time
Second-year students of the Master of Computer Vision programme have presented their projects in this cutting-edge field in AI. The committee included representatives of the programme’s partners from Huawei, YADRO and SBERLAB, as well as Valery Cherepennikov, IT advisor to the governor of the Nizhny Novgorod region.
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 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.
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.’