Alexander Ivanov
- Junior Research Fellow:International Centre of Decision Choice and Analysis
- Alexander Ivanov has been at HSE University since 2011.
Young Faculty Support Programme (Group of Young Academic Professionals)
Category "New Researchers" (2016)
Publications17
- Chapter Ivanov A. Manipulability of Aggregation Procedures for the Case of Large Numbers of Voters, in: Data Analysis and Optimization. In Honor of Boris Mirkin's 80th Birthday / Ed. by B. Goldengorin, S. Kuznetsov. Springer, 2023. doi P. 157-168. doi
- Chapter Aleskerov F. T., Ivanov A., Karabekyan D., Yakuba V. I. On the Individual and Coalitional Manipulability of q-Paretian Social Choice Rules, in: Advances in Collective Decision Making: Interdisciplinary Perspectives for the 21st Century. Springer, 2023. doi P. 95-111. doi
- Article Иванов А. А. Алгоритмы расчета точных значений индексов манипулируемости для случая трех альтернатив // Журнал Новой экономической ассоциации. 2022. № 5(57). С. 14-23. doi
- Chapter Fuad Aleskerov, Karabekyan D., Ivanov A., Vyacheslav Yakuba. Further Results on the Manipulability of Social Choice Rules—A Comparison of Standard and Favardin–Lepelley Types of Individual Manipulation, in: Evaluating Voting Systems with Probability Models. Cham : Springer, 2021. doi P. 231-249. doi
- Article Иванов А. А. Эффективные вычислительные схемы расчета манипулируемости процедур агрегирования // Информационные технологии и вычислительные системы. 2020. № 2. С. 38-50. doi
- Chapter Aleskerov F. T., Karabekyan D., Ivanov A., Yakuba V. I. On the bounds of weak manipulability of majoritarian aggregation procedures, in: Procedia Computer Science. 7th International Conference on Information Technology and Quantitative Management (ITQM 2019): Information technology and quantitative management based on Artificial Intelligence. Elsevier, 2019. P. 887-894. doi
- Chapter Карабекян Д. С., Иванов А. А., Якуба В. И. Манипулируемость схем агрегирования в модели Даунса // В кн.: Управление развитием крупномасштабных систем (MLSD’2019): материалы Двенадцатой международной конференции, 1–3 окт. 2019 г. / Под общ. ред.: С. Н. Васильев, А. Цвиркун. Институт проблем управления им. В.А. Трапезникова РАН, 2019. С. 979-981.
- Chapter Алескеров Ф. Т., Карабекян Д. С., Иванов А. А., Якуба В. И. О манипулируемости процедуры выбора Хара // В кн.: XIII Всероссийское совещание по проблемам управления ВСПУ-2019: труды. М. : ИПУ РАН, 2019. С. 1-6.
- Chapter Aleskerov F. T., Karabekyan D., Ivanov A., Yakuba V. I. Individual manipulability of majoritarian rules for one-dimensional preferences, in: Procedia Computer Science Vol. 139: 6th International Conference on Information Technology and Quantitative Management. Elsevier, 2018. P. 212-220. doi
- Chapter Aleskerov F. T., Ivanov A., Karabekyan D., Yakuba V. I. Manipulability of majority relation-based collective decision rules, in: 9th KES International Conference on Intelligent Decision Technologies, KES-IDT 2017; Vilamoura; Portugal; 21 June 2017 до 23 June 2017, Smart Innovation, Systems and Technologies. Springer, 2018. P. 82-91. doi
- Chapter Ivanov A. EXTRACTING PATENT-RELATED INFORMATION FROM ONLINE SOCIAL NETWORKS: CASE OF FACEBOOK, in: 28 TH DAAAM International Symposium on Intelligent Manufacturing and Automation. Wien : DAAAM International Vienna, 2017. doi P. 433-438. doi
- Chapter Aleskerov F. T., Karabekyan D., Ivanov A., Yakuba V. I. Manipulability of majoritarian rules by coalitions with the same first-ranked alternative, in: Procedia Computer Science Vol. 122: 5th International Conference on Information Technology and Quantitative Management, ITQM 2017. Elsevier, 2017. P. 993-1000. doi
- Chapter Ivanov A., Tekic Z. Using Contextual Data for Smart Patent Analysis, in: 8th IEEE International Conference on Cloud Computing Technology and Science conference proceedings Using Contextual Data for Smart Patent Analysis. IEEE, 2017. P. 448-451. doi
- Chapter Иванов А. А., Якуба В. И. Быстрый алгоритм оценки манипулируемости правил коллективного выбора // В кн.: XVII Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн. / Отв. ред.: Е. Г. Ясин. Кн. 4. М. : Издательский дом НИУ ВШЭ, 2017. С. 495-501.
- Chapter Иванов А. А., Карабекян Д. С., Якуба В. И. Манипулируемость правил коллективного выбора в Impartial Anonymous Culture // В кн.: XVI Апрельская международная научная конференция по проблемам развития экономики и общества: в 4 кн. / Отв. ред.: Е. Г. Ясин. Кн. 1. М. : Издательский дом НИУ ВШЭ, 2016. С. 488-494.
- Article Aleskerov F. T., Ivanov A., Karabekyan D., Yakuba V. I. Manipulability of Aggregation Procedures in Impartial Anonymous Culture // Procedia Computer Science. 2015. No. 55. P. 1250-1257. doi
- Article Васильев С. Н., Алескеров Ф. Т., Якуба В. И., Иванов А. А. Механизмы принятия экономических решений для утилизации нефтяного попутного газа // Проблемы управления. 2012. № 4. С. 18-25.
Results of research in 2010
- Preparation for publication “Modeling the process of investments’ distribution during scenario-building of pipeline construction for associated gas utilization”
Current research tasks
- Computation (calculation) of indices of manipulation for collective choice problem with many agents;
- Study of collective choice rules
Lecture by Alexander Ivanov on "Manipulability indices and their calculation for collective decision rules"
On Sunday, May 3 the scientific seminar of the International Centre of Decision Choice and Analysis was held. A. Ivanov gave a lecture on "Manipulability indices and their calculation for collective decision rules".
Decision-making Rules Least Susceptible to Manipulation, According to Science
HSE researchers have used computer modelling to demonstrate the varying manipulability of decision-making procedures and to identify those least susceptible to manipulation. Their findings are published in the paper 'Manipulability of Majority Relation-based Collective Decision Rules'.
Victory-Flavoured Mango
On October 31st a team of students from the HSE Faculty of Business Informatics won the final of the Microsoft Case Competition Mango.