Patents by Inventor Andrey USTYUZHANIN

Andrey USTYUZHANIN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250103947
    Abstract: Systems and methods for uncovering a conservation law in physical systems including evaluating collected data by a representation learning system. Analyzing the collected data by a topological learning analysis system, transferring the data into at least two displayable trajectories. Generating a distance matrix by computing so-called Wasserstein distances between the trajectories, with the distance matrix showing a shape space between the trajectories. Embedding the shape space of the distance matrix into lower dimensions by using a so-called uniform manifold approximation and projection (UMAP). Determining at least two scores for different embeddings to choose a score, representing the shape space, and/or representing a minimal dimensionality. Using a symbolic regression to identify a closed form of the integrals of motion.
    Type: Application
    Filed: September 26, 2023
    Publication date: March 27, 2025
    Inventors: Andrey Ustyuzhanin, Antonii Belyshev, Alexander Kovrigin, Serg Bell, Stanislav Protasov, Nikolay Dobrovolskiy
  • Publication number: 20250094585
    Abstract: Systems and methods for detecting malicious activity on an endpoint, the endpoint having executing processes, including tracking behavior of executing processes, generating a provenance graph to group the behavior events, transforming the provenance graph into a sequence of behavior events, training a sequence classification machine learning model based on the sequence of behavior events, processing a sequence of test behavior events using the sequence classification machine learning model to generate a probability of maliciousness, and alerting for malicious activity when the probability of maliciousness for the sequence of test behavior events is greater than a threshold.
    Type: Application
    Filed: September 19, 2023
    Publication date: March 20, 2025
    Inventors: Candid Wuest, Philipp Gysel, Dinil Mon Divakaran, Andrey Ustyuzhanin, Kenneth Nwafor, Serg Bell, Stanislav Protasov
  • Publication number: 20240363204
    Abstract: A method for predicting at least one property of a crystal of a material, with the crystal exhibiting at least one point defect. At least one module samples structures of materials and point defects of the crystal. The method comprises: providing a neural network. The neural network comprises: receiving as input a structure of the material and an ideal crystal unit cell structure. The neural network also comprises: outputting at least one target quantity and using a generated set of data and representing the point defect. The point defect represents a set of coordinates and a type of the point defect and a crystal unit cell structure. The neural network further comprises: receiving as input at least one of a cloud of defect points and a global state vector. The neural network additionally comprises outputting a vector.
    Type: Application
    Filed: April 26, 2023
    Publication date: October 31, 2024
    Inventors: Nikita Kazeev, Andrey Ustyuzhanin, Abdalaziz Rashid Al-Maeeni, Maxim Faleev, Ruslan Lukin, Alexander Tormasov, Ignat Romanov, Serg Bell, Stanislav Protasov, Nikolay Dobrovolskiy
  • Publication number: 20220261518
    Abstract: There is disclosed a method and system for operating a storage area network (SAN) simulator. The method comprises generating training data representative of a SAN system. The method also comprises generating a SAN simulator corresponding to the SAN system, where the SAN simulator outputs a predicted metric of at least one component of the SAN system. The method then comprises using the training data to train a machine learning algorithm (MLA) to determine adjustments for parameters of the SAN simulator.
    Type: Application
    Filed: February 15, 2021
    Publication date: August 18, 2022
    Inventors: Artem IKOEV, Ivan TCHOUB, Kenenbek ARZYMATOV, Andrey USTYUZHANIN, Vladislav BELAVIN, Andrey SAPRONOV, Maksim KARPOV, Leonid GREMYACHIKH