As of September 2026.
Members
Sergey V. Muravyov
Dr. Sc., Professor, Tomsk Polytechnic University
Head of the research line, author of the IF&PA method.
Lyudmila I. Khudonogova
PhD, Associate Professor
Interval data fusion, sensor networks, self-refining versions of IF&PA.
Denis I. Andreyev
PhD student (2023)
Network scheduling of production works based on preference aggregation; this site.
Vladislav S. Shabramov
PhD student (2024)
Anomaly detection in data by interval fusion with preference aggregation.
Vadim D. Ignatyev
PhD student (2024)
Improving accuracy and robustness of linear regression analysis.
Tran Quang Long
PhD student (2025)
Calibration characteristic of a primary measuring transducer by IF&PA.
Dmitry V. Tuev
PhD student (2025)
Intelligent analysis of solar energy degradation monitoring data.
Funding
- Russian Science Foundation, project 18-19-00203 “Preference aggregation for processing multidimensional heteroscedastic measurement data”, 2018–2020.
- State assignment — for a number of years.
- “Priority 2030” programme, 2025.
Defended theses
- E. V. Tarakanov, 2012 — Aggregation of multisensor data in wireless sensor networks.
- I. A. Marinushkina, 2015 — Processing of comparison data of electrical quantities by preference aggregation.
- L. I. Khudonogova, 2017 — Fusion of interval measurement data in wireless sensor networks by preference aggregation.
- M. D. Ho, 2021 — Improving the accuracy of heteroscedastic measurement data analysis.
- E. Yu. Emelyanova, 2022 — Preference aggregation based on the exact solution of the Kemeny ranking problem.
- D. C. Nguyen, 2024 — Robust selection of brightness thresholds for automatic weld defect recognition.
Contacts
Questions about the method, collaboration proposals, bug reports:
The buttons open your e-mail program. To share a specific calculation, use “Share the result” in the calculator. The team's papers are on ResearchGate.