• Skip to main navigation
  • Skip to search
  • Skip to main content
JKU & KUK Research Portal Home JKU & KUK Research Portal Logo
  • Help & FAQ
    • English
    • Deutsch
  • Home
  • Research units
  • Profiles
  • Research output
  • Projects
  • Activities
  • Datasets
  • Prizes
  • Press/Media
No photo of Dmitry Efrosinin

View Scopus Profile

Dmitry Efrosinin

Assoz.Univprof., Dr.

  • Institute of Stochastics
 https://orcid.org/0000-0002-0902-6640
  • EmailDmitry.Efrosininjkuat
  • Overview
  • Network
  • Research output (123)
  • Projects (23)
  • Activities (60)
  • Press/Media (1)
  • Supervised Work (11)

Research output

  • 58 Conference proceedings
  • 50 Article
  • 7 Chapter
  • 3 Anthology
  • More
    • 3 Monograph
    • 2 Research report

Research output per year

Research output per year

  • On Recursive Marginal and MAP Inference in State Observation Models

    Rudic, B., Sturm, V. & Efrosinin, D., 06 May 2025, Information Technologies and Mathematical Modelling. Queueing Theory and Related Fields - 23rd International Conference, ITMM 2024, Revised Selected Papers: 23rd International Conference, ITMM 2024, Karshi, Uzbekistan, October 20–26, 2024, Revised Selected Papers. Dudin, A., Nazarov, A. & Moiseev, A. (eds.). Springer Nature, p. 85-97 13 p. (Communications in Computer and Information Science; vol. 2472 CCIS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • Recursive Bayesian Decoding in State Observation Models: Theory and Application in Quantum-Based Inference

    Rudic, B., Pichler-Scheder, M. & Efrosinin, D., 18 Jun 2025, In: Mathematics. 13, 12, 24 p., 2012.

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • Recursive Bayesian Smoothing with Gaussian Sums

    Rudic, B., Sturm, V. & Efrosinin, D., 11 Apr 2025, In: TechRxiv . 5 p.

    Research output: Contribution to journal › Article

    Open Access
  • Simulation-Based Optimization for Resource Allocation Problem in Finite-Source Queue with Heterogeneous Repair Facility

    Efrosinin, D., Vishnevskiy, V. & Stepanova, N., 16 Feb 2025, Distributed Computer and Communication Networks: 27th International Conference, DCCN 2024, Moscow, Russia, September 23–27, 2024, Revised Selected Papers. Vishnevsky, V. M., Samouylov, K. E. & Kozyrev, D. V. (eds.). Springer Nature, p. 187-202 16 p. 15460. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15460 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

  • Use Cases of Machine Learning in Queueing Theory Based on a GI/G/K System

    Efrosinin, D., Vishnevskiy, V., Stepanova, N. & Sztrik, J., 25 Feb 2025, In: Mathematics. 13, 5, 36 p., 776.

    Research output: Contribution to journal › Article › peer-review

    Open Access
View all 123 research outputs

Projects

  • 2 Active
  • 21 Finished

Projects per year

  • Strategic Research Part im Multi-Firm Projekt MFP 3.3 (COMET K2)

    Efrosinin, D. (PI)

    01.07.2022 → 31.12.2026

    Project: Funded research › FFG - Austrian Research Promotion Agency

  • AI-based monitoring and optimization based on sensor data from injection molds (COMET K2)

    Efrosinin, D. (PI)

    01.06.2022 → 31.12.2026

    Project: Funded research › FFG - Austrian Research Promotion Agency

  • Artificial intelligence based enhancement of performance evaluation and optimization methods for controlled queueing systems

    Efrosinin, D. (Researcher), Stepanova, N. (Researcher) & Gal, Z. (Researcher)

    01.11.2024 → 01.11.2025

    Project: Funded research › Other sponsors

  • Time Series Transformation into Images for Production State Recognition

    Fleischanderl, S. (Researcher) & Efrosinin, D. (PI)

    09.01.2023 → 20.11.2023

    Project: Other › Master thesis project

  • Hidden Markov models for state recognition in injection molding processes using acceleration data

    Schmalzer, S. (Researcher) & Efrosinin, D. (PI)

    09.01.2023 → 27.09.2023

    Project: Other › Master thesis project

View all 23 projects

Activities

  • 29 Contributed talk
  • 25 Invited talk
  • 3 Outgoing (legacy data)
  • 1 Organising a conference, workshop, ...
  • More
    • 1 Other talk or presentation
    • 1 Poster presentation

Activities per year

  • Reliability Analysis of <GIk≤n | GI | l> system using Marked Markov Processes

    Rykov, V. (Contributor), Ivanova, N. (Contributor) & Efrosinin, D. (Speaker)

    11 Jun 2025

    Activity: Talk or presentation › Invited talk › science-to-science

  • On the Analytic Solution to Recursive Smoothing in Mixture Models

    Rudic, B. (Speaker), Sturm, V. (Speaker) & Efrosinin, D. (Speaker)

    29 Oct 2024

    Activity: Talk or presentation › Poster presentation › science-to-science

  • Maximum A Posteriori Predecessors in State Observation Models

    Pichler-Scheder, M. (Speaker), Efrosinin, D. (Speaker) & Rudic, B. (Speaker)

    22 Oct 2024

    Activity: Talk or presentation › Contributed talk › science-to-science

  • Simulation-Based Optimization for Resource Allocation Problem in Finite-Source Queue with Heterogeneous Repair Facility

    Efrosinin, D. (Speaker), Stepanova, N. (Speaker) & Vishnevskiy, V. (Speaker)

    24 Sept 2024

    Activity: Talk or presentation › Contributed talk › science-to-science

  • Reinforcement learning vs random search for discrete optimization in queueing systems

    Efrosinin, D. (Speaker) & Stepanova, N. (Speaker)

    26 Aug 2024

    Activity: Talk or presentation › Contributed talk › science-to-science

View all 60 activities

Press/Media

  • Telephone conversation with a computer

    Efrosinin, D. & Winkler, A.

    01.01.2010

    1 item of Media coverage

    Press/Media

JKU & KUK Research Portal Logo

Powered by Pure, Scopus & Elsevier Fingerprint Engine™

All content on this site: Copyright © 2025 JKU & KUK Research Portal, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply

We use cookies to help provide and enhance our service and tailor content. By continuing you agree to the use of cookies

Log in to Pure

Impressum

About web accessibility

Report vulnerability

Contact us