Alena Suvorova

Associate Professor:HSE Campus in St. Petersburg / St. Petersburg School of Physics, Mathematics, and Computer Science / Department of Informatics
Programme Academic Supervisor:UX Analytics and Information System Design

Alena Suvorova has been at HSE University since 2020.

Education and Degrees

2014
Candidate of Sciences* (PhD)
Korolev Samara State Aerospace University
2010
Degree
Saint Petersburg State 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.

Continuing education / Professional retraining / Internships / Study abroad experience

Trainee (2011-2012), Yale School of Public Health, Yale University, USA, AIDS International Training and Research Program "Training and research in HIV prevention in Russia"

Professional Interests

Data Science machine learning

Awards and Accomplishments

Best Teacher – 2023, 2022, 2021

Grants

RSF (Russian Science Foundation) grant, project No. 19-71-0006, 2019-2020, Methodology for comparison of algorithms for machine learning models interpretation (PI)

Publications²⁰

Chapter Suvorova A., Musabirov I., Bulygin D., Rustem Faidrakhmanov. Co-aligning User-Centered Design and Software Engineering Courses: A Case Study, in: Proceedings of the 54th ACM Technical Symposium on Computer Science Education (SIGSCE 2023) Vol. 2. Association for Computing Machinery (ACM), 2023. doi P. 1305-1305. doi
Chapter Suvorova A. Interpretable Machine Learning in Social Sciences: Use Cases and Limitations, in: Digital Transformation and Global Society. 6th International Conference, DTGS 2021, St. Petersburg, Russia, June 23–25, 2021, Revised Selected Papers / Ed. by D. A. Alexandrov, A. V. Boukhanovsky, A. V. Chugunov, Y. Kabanov, O. Koltsova, I. Musabirov, S. Pashakhin. Cham: Springer, 2022. doi P. 319-331. doi
Chapter Zakharova V., Suvorova A. Social Aspects of Machine Learning Model Evaluation: Model Interpretation and Justification from ML-practitioners' Perspective, in: CEUR Workshop Proceedings. Proceedings of the International Conference "Internet and Modern Society" (IMS-2021), St. Petersburg, 24 - 26 June 2021. CEUR Workshop Proceedings, 2021. P. 230-234.
Chapter Azarov A., Suvorova A., Koroleva M., Vasileva O. Aggregate Estimates for Probability of Social Engineering Attack Success: Sustainability of the Structure of Access Policies, in: International Symposium on Computer Science, Digital Economy and Intelligent Systems, CSDEIS 2019 Vol. 1127: Advances in Intelligent Systems, Computer Science and Digital Economics. Springer, 2020. doi P. 299-306. doi
Chapter Azarov A., Suvorova A., Koroleva M., Vasileva O., Tulupyeva T. Assessment of the Information System’s Protection Degree from Social Engineering Attack Action of Malefactor While Changing the Characteristics of User’s Profiles: Numerical Experiments, in: Proceedings of the Fourth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’19) Vol. 1156. Springer, 2020. doi P. 523-530. doi
Chapter Anna Smirnova, Suvorova A. Machine Learning Models Interpretations: User Demands Exploration, in: Digital Transformation and Global Society: 5th International Conference, DTGS 2020, St. Petersburg, Russia, June 17–19, 2020, Revised Selected Papers. Springer, 2020. doi Ch. 8. P. 107-116. doi
Chapter Budin E., Smirnova K., Suvorova A., Tulupyeva T. An approach to automation of user's profile analysis, in: Digital Transformation and Global Society: 4th International Conference, DTGS 2019, St. Petersburg, Russia, June 19–21, 2019, Revised Selected Papers / Ed. by D. A. Alexandrov, A. V. Boukhanovsky, A. V. Chugunov, Y. Kabanov, O. Koltsova, I. Musabirov. Cham : Springer, 2019. doi P. 461-467. doi
Chapter Suvorova A., Тулупьев А. Л. Learning Bayesian network structure for risky behavior modelling, in: Advances in Intelligent Systems and Computing. 3rd International Scientific Conference on Intelligent Information Technologies for Industry, IITI 2018 Vol. 2. Springer, 2019. doi P. 58-67. doi
Chapter Suvorova A., Tulupyev A. Prediction quality of Bayesian belief network model for risky behavior: comparison of subsamples with different rates, in: Atlantis Studies in Uncertainty Modelling, Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019) Vol. 1. Atlantis Press, 2019. P. 648-652. doi
Chapter Suvorova A., Ivaniushina V. A., Bakhitova A., Kuznetsova A. Women Data Science Leaders in Russia, in: ACM SIGKDD Explorations Newsletter Vol. 21. Issue 1. NY : ACM, 2019. Ch. 7. P. 45-48. doi
Chapter Shindarev N., Bagretsov G., Abramov M., Tulupyeva T., Suvorova A. Approach to Identifying of Employees Profiles in Websites of Social Networks Aimed to Analyze Social Engineering Vulnerabilities, in: Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). Advances in Intelligent Systems and Computing Vol. 679. Cham : Springer, 2018. doi doi
Chapter Suvorova A. Exploring Bayesian belief network for risky behavior modelling: discretization and latent variables, in: CEUR Workshop Proceedings Vol. 2258: Proceedings of the II International Scientific and Practical Conference “Fuzzy Technologies in the Industry – FTI 2018”. Ulyanovsk : CEUR Workshop Proceedings, 2018. P. 63-70.
Chapter Dornostup O., Suvorova A. Network Structure of e-Shops Profile as Factor of Its Success: Case of VK. com, in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10th International Conference on Social Informatics, SocInfo 2018; St.Petersburg. Cham: Springer, 2018. P. 40-50. doi
Chapter Suvorova A. Models for respondents' behavior rate estimate: Bayesian Network structure synthesis, in: XX IEEE International Conference on Soft Computing and Measurements (SCM). IEEE, 2017. P. 87-89. doi
Chapter Suvorova A., Tulupyeva T. Bayesian Belief Networks in Risky Behavior Modelling, in: Proceedings of the First International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’16) Vol. 450. Issue 1. Springer, 2016. doi P. 95-102. doi
Chapter Toropova A., Suvorova A. Data coherence diagnosis in socially significant behavior model, in: Proceedings of the XIX International Conference on Soft Computing and Measurements SCM`2016. St. Petersburg : IEEE, 2016. P. 14-17. doi
Chapter Suvorova A., Tulupyev A. Evaluation of the model for individual behavior rate estimate: Social network data, in: Proceedings of the XIX International Conference on Soft Computing and Measurements SCM`2016. St. Petersburg : IEEE, 2016. P. 18-20. doi
Article Ustinov A., Suvorova A., Belyakov A., Makhamatova A., Levina O., Krupitsky E., Lioznov D., Niccolai L., Heimer R. Psychiatric Distress, Drug Use, and HIV Viral Load Suppression in Russia // AIDS and Behavior. 2016. Vol. 20. No. 8. P. 1603-1608. doi
Article Suvorova A., Belyakov A., Makhamatova A., Ustinov A., Levina O., Tulupyev A., Niccolai L., Rassokhin V., Heimer R. Comparison of satisfaction with care between two different models of HIV care delivery in St. Petersburg, Russia // AIDS Care - Psychological and Socio-Medical Aspects of AIDS/HIV. 2015. Vol. 27. No. 10. P. 1309-1316. doi
Article Tulupyev A., Suvorova A., Sousa J., Zelterman D. Beta prime regression with application to risky behavior frequency screening // Statistics in Medicine. 2013. Vol. 32. No. 23. P. 4044-4056.

Employment history

(2014-2018) Senior Researcher, Theoretical and Interdisciplinary Computer Science Laboratory, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia

(2010-2014) Researcher, Theoretical and Interdisciplinary Computer Science Laboratory, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, St. Petersburg, Russia

(2010-2013) Post-graduate student, Department of Computer Science, Faculty of Mathematics and Mechanics, St. Petersburg State University, St. Petersburg, Russia

Timetable for today

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Full timetable

Sep

2022

HSE SPB Day 2022: How It Went

This year, HSE University-St Petersburg's traditional HSE SPB Day event returned in an offline format. It was held on September 11 in the Sevkabel Port creative space. Students, lecturers, the administration and partners of the campus met by the Gulf of Finland to celebrate the brightest holiday of the autumn, which symbolised the beginning of the academic year and an initiation ceremony for first-year students.

Sep

2022

Workshops, Dances and Quests: HSE SPb Day at 'Sevkabel Port'

HSE University-St Petersburg invites its students and other guests to HSE SPb Day—the brightest holiday of this autumn. Participants will have a chance to meet student organisations of HSE University-St Petersburg, attend a theatre workshop, play a live chess game, listen to the lectures about the youth and enjoy the tracks by DJ Feel, which put everyone in a good mood.

Jul

2019

HSE Researchers Receive Grants in Russian Science Foundation Competitions

The Russian Science Foundation announced the results of its 2019 competitions for support from the Presidential Research Project Programme. One competition was for grants in support of research initiatives by early career researchers, and another was in support of research conducted by research groups headed by early career scholars.

Jan

2017

First seminar of Research Group "Machine Learning and Social Computing": trajectories of development and research of online games

On January 21 the first adjusting seminar of Research Group "Machine Learning and Social Computing" took a place. Current plans and the main ideas about future work were discussed; design and some results of researches on social algorithms in online games and eSports were presented.

Alena Suvorova

Education and Degrees

Continuing education / Professional retraining / Internships / Study abroad experience

Professional Interests

Awards and Accomplishments

Courses (2023/2024)

Courses (2022/2023)

Courses (2021/2022)

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Courses (2017/2018)