Data Science

Alexey Davydov

Researcher at Steklov Math Institute, Researcher at Synthesis AI

Faculty Profile

Alexey Davydov is a computer scientist experienced with algorithm design and machine learning. He received his bachelor degree in physics at Moscow Institute of Physics and Technology and his master degree at St. Petersburg Academic University. His main research interests are developing of competitive scheduling algorithms and usage of synthetic data in deep learning.

He has been teaching at St. Petersburg Academic University, Computer Science Center and St. Petersburg State University since 2012. Alex Davydov currently is a researcher at Steklov Math Institute where he works on theoretical research and at Neuromation where he can apply it to practice.

Experience

2018 – Present
Researcher
Neuromaton Inc.
2017 – Present
Junior Researcher
St. Petersburg Department of Steklov Mathematical Institute
2015 — 2016
Teaching Assistant
St. Petersburg State University

Education

2012–2017
Ph.D. Student
St. Petersburg Academical University
2010 – 2012
Master Degree
St. Petersburg Academical University
2006–2010
Bachelor Degree
Moscow Institute of Physics and Technology

Honors & Awards

Second Place in Intel Accelerate Contest, Intel(2012)
Sponsorship Yandex Award for Research in Cryptography, Yandex(2011)

Publications

2018
Land Cover Classification with Superpixels and Jaccard Index Post-Optimization
CVPR, Conference Paper
2018
Land Cover Classification from Satellite Imagery with U-Net and Lovász-Softmax Loss
CVPR, Conference Paper
2018
Building Detection from Satellite Imagery Using a Composite Loss Function
CVPR, Conference Paper
2018
Personal Insights on Three Research Directions in Networked Systems
Conference Paper, COMSNET
2018
Priority Queueing for Packets with Two Characteristics
IEEE/ACM Transactions on Networking
2017
Throughput Optimization with Latency Constraints
Conference Paper, IEEE INFOCOM
2017
Planning in Compute-aggregate Problems as Optimization Problems on Graphs
Conference Paper, IEEE 25th ICNP
2017
Bounds on the Number of Connected Components for Tropical Prevarieties
Discrete and Computational Geometry, Volume 57, Issue 2, pp 470-493

Courses by Alexey

Data Science

Neural Networks and Computer Vision (2025)

08 June - 26 June 2026

Barcelona

Data Science

Neural networks and Computer Vision (2024)

19 May - 06 June 2025

Barcelona

Data Science

Neural networks and Computer Vision (2023)

20 May - 07 June 2024

Barcelona

Data Science

Neural networks and Computer Vision (2022)

22 May - 09 June 2023

Barcelona

Data Science

Neural networks and Computer Vision (2021)

23 May - 10 June 2022

Barcelona

Data Science

Neural networks and Computer Vision (2020)

24 May - 11 June 2021

Online

Data Science

Neural networks and Computer Vision (2019)

18 May - 05 June 2020

Barcelona

Data Science

Neural Networks and Computer Vision (2018)

20 May - 07 June 2019

Barcelona

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