Фролов Евгений Петрович

Руководит группой исследований и разработки технологий персонализации. Преподает курс по рекомендательным системам.

Надбавка за публикацию в журнале из Списка А (и приравненном к нему научном издании) (2024-2025)

Successfully negotiated and delivered several projects with large companies: secured time, budget, and scope
of work; organized and managed diverse teams of researchers of up to 7 people. Details:
Joint projects with Huawei (Principal Investigator).
◊ Hyperbolic Geometry for Sequential Learning algorithms in next item recommendations. 2022 – 2023.
✓ Lead the development of several architectures for sequential learning with hyperbolic layers.
✓ Designed a new solution combining hyperbolic classifier with sequential self-attention.
✓ Established connection between data properties and compatibility with hyperbolic models.
◊ Privacy-preserving Federated Learning for next app predictions on mobile platforms. 2021 – 2022.
✓ Lead a cross-disciplinary team. Ensured all components of the designed solution are compatible
with practical requirements of the customer. Developed a novel matrix factorization approach.
✓ The final solution was accepted and tested in pre-production environment by the customer.
◊ On-device user actions prediction for quick search of relevant apps. 2019 – 2020.
✓ Lead a team of researchers from different universities. Developed several new solutions.
✓ Provided solution satisfied the target accuracy specs and was implemented in production.
Collaboration with Sber AI Lab. 2018 – 2020.
◊ Joint project on Hyperbolic Autoencoders for recommender systems.
✓ Initiated and delivered a cutting-edge research project related to application of hyperbolic
geometry in collaborative filtering models. Presented results at the main RecSys conference.

◊ Consulting:
✓ Consulted the design of “Stories” recommendation in the bank’s mobile application. A/B testing in production indicated a 56% increase of the conversion rate.
✓ Implemented a prototype restaurant recommendation system based on user transactions. Part of the solution was used in the production system.
Other related activities:
◊ Collaboration with R&D Lab of prudSys company (https://prudsys.de), 2014 – 2017.
Conducted research on application of tensor methods for online recommendations in retail.
◊ Open-source
✓ Developed Polara, an open-source recommender systems framework. The framework is used by individuals as well as several companies for quick prototyping and as a tool for performing exploratory research. Repository: https://github.com/evfro/polara
✓ Developed fast PyTorch loaders for collaborative filtering data: https://github.com/evfro/cofida

Руководитель гранта РНФ №22-21-00911
https://rscf.ru/project/22-21-00911/

◊ Microsoft LLC, Microsoft Premier Services. Technical Account Manager, 2011 – 2013. Helped companies build, grow, and maintain IT-infrastructure that drives business processes.
◊ UMSoft LLC. Project Manager / Key Account Manager / Instructor, 2010 – 2011. Lead IT-infrastructure projects. Implemented one of the largest VOIP call-centers in Russia.
◊ Siemens IT Solutions and Services. Field Support/Telecom Engineer, 2009 – 2010.
◊ Innovation Workshop at Massachusetts Institute of Technology, Boston, USA, 2013: https://www.skoltech.ru/en/2013/08/innovation-workshop.
◊ Crucial Conversations (corporate training at Microsoft), 2011.
◊ ITIL Foundation 2011 Certificate, awarded by PeopleCert organization.