Photo of Andrey Ustyuzhanin

Dr. Andrey Ustyuzhanin

Adjunct Professor of Computer Science (Software, Data and Technology)
School of Computer Science & Engineering
Email Address
austyuzhan@constructor.university
Website
https://ifim.nus.edu.sg/people/andrey-ustyuzhanin/
Selected Publications

Andrey Ustyuzhanin on ResearchGate

Measurement of the B s 0 → μ + μ − Branching Fraction and Search for B 0 → μ + μ − Decays at the LHCb Experiment

 

Reproducible Experiment Platform

 

Disk storage management for LHCb based on Data Popularity estimator

 

Search for the lepton flavour violating decay tau(-) -> mu(-)mu(+)mu(-)

 

A genetic algorithm for autonomous navigation in partially observable domain

 

Machine learning code snippets semantic classification

 

Toward the end-to-end optimization of particle physics instruments with differentiable programming

 

Symbolic expression generation via variational auto-encoder

 

Code4ML: a large-scale dataset of annotated Machine Learning code

 

The Tracking Machine Learning Challenge: Throughput Phase

 

Generative Models for Fast Simulation

 

NFAD: fixing anomaly detection using normalizing flows

 

The Tracking Machine Learning challenge : Throughput phase

 

Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation

 

Segmentation of EM showers for neutrino experiments with deep graph neural networks

 

Online detection of failures generated by storage simulator

 

Toward Machine Learning Optimization of Experimental Design

 

Adaptive divergence for rapid adversarial optimization

 

SANgo: a storage infrastructure simulator with reinforcement learning support
 

Publications on Scopus
Linguacodus: a synergistic framework for transformative code generation in machine learning pipelines
Trofimova, E. Sataev, E. Ustyuzhanin, A.
PeerJ Computer Science 2024 10
Review on automated 2D material design
Al-Maeeni, A. Lazarev, M. Kazeev, N. Novoselov, K.S. Ustyuzhanin, A.
2D Materials 2024 11 (3)
Beyond dynamics: learning to discover conservation principles
Belyshev, A. Kovrigin, A. Ustyuzhanin, A.
Machine Learning: Science and Technology 2024 5 (2)
Symbolic expression generation via variational auto-encoder
Popov, S. Lazarev, M. Belavin, V. Derkach, D. Ustyuzhanin, A.
PeerJ Computer Science 2023 9
Code4ML: a large-scale dataset of annotated Machine Learning code
Drozdova, A. Trofimova, E. Guseva, P. Scherbakova, A. Ustyuzhanin, A.
PeerJ Computer Science 2023 9
Author Correction: Unveiling the complex structure-property correlation of defects in 2D materials based on high throughput datasets (npj 2D Materials and Applications, (2023), 7, 1, (6), 10.1038/s41699-023-00369-1)
Huang, P. Novoselov, K.S. Lukin, R. Faleev, M. Kazeev, N. Al-Maeeni, A.R. Andreeva, D.V. Ustyuzhanin, A. Tormasov, A.
npj 2D Materials and Applications 2023 7 (1)
Sparse representation for machine learning the properties of defects in 2D materials
Kazeev, N. Ustyuzhanin, A. Al-Maeeni, A.R. Romanov, I. Faleev, M. Lukin, R. Tormasov, A. Novoselov, K.S. Huang, P.
npj Computational Materials 2023 9 (1)
Machine learning code snippets semantic classification
Berezovskiy, V. Gorodilova, A. Trofimova, E. Ustyuzhanin, A.
PeerJ Computer Science 2023 9
The DL Advocate: playing the devil’s advocate with hidden systematic uncertainties
Golutvin, A. Iniukhin, A. Mauri, A. Owen, P. Serra, N. Ustyuzhanin, A.
European Physical Journal C 2023 83 (9)
Toward the end-to-end optimization of particle physics instruments with differentiable programming
Dorigo, T. Edelen, A. Fanzago, F. Gauger, N.R. Glaser, C. Baydin, A.G. Heinrich, L. Keidel, R. Kieseler, J. Krause, C. Lagrange, M. Giammanco, A. Lamparth, M. Layer, L. Maier, G. Nardi, F. Pettersen, H.E.S. Ramos, A. Ratnikov, F. Röhrich, D. de Austri, R.R. del Árbol, P.M.R. Vischia, P. Savchenko, O. Simpson, N. Strong, G.C. Taliercio, A. Tosi, M. Ustyuzhanin, A. Zaraket, H. Aehle, M. Bawaj, M. Boldyrev, A. de Castro Manzano, P. Derkach, D. Donini, J.
Reviews in Physics 2023 10
University Education

Institute of System Programming (Russian Academy of Sciences)

Doctor of Philosophy (Ph.D.), Computer Science

2007

Moscow Institute of Physics and Technology (State University) (MIPT)

Master of Science (M.Sc.), Applied Mathematics & Physics, Autonomous Control Systems

1994 - 2000

Moscow Institute of Physics and Technology (State University) (MIPT)

Master of Science (M.Sc.), Innovative Management

1998 - 1999

Moscow Institute of Physics and Technology (State University) (MIPT)

Bachelor of Science (B.Sc.), Applied Mathematics

1994 - 1998

Moscow Chemical Lyceum

Mathematics & Physics

1991 - 1994

Work Experience

Visiting Research Professor at the National University of Singapore

Director of AI for R&D at Acronis

Visiting Researcher at Imperial College London

Head of Laboratory at LAMBDA HSE

Associate Professor of Computer Science at Moscow Institute of Physics and Technology

Head of joint CERN-Yandex Research & Education programs

Researcher at "Kurchatov Institute"

Researcher at Yandex

Co-founder of Exasory Group

Software Analyst and Jboss Senior Consultant at VDEL

Microsoft Imagine Cup Judge

Head of Software Engineering at Starlink Telecom

Project Manager at CREC MIPT

Project Manager at the Institute of System Programming of the Russian Academy of Science

IT Analyst and System Administrator at Glowbyte

System Administrator and Software Developer at ILM Moscow