English proficiency:
Research projects:
Russian Foundation for Basic Research
2019−2021. Head of grant 19−31−90 165 «Methods and software for estimating errors in the roots of systems of nonlinear equations with inaccurate coefficients».
Russian Science Foundation
2019−2021. Head of grant 19−71−127 «Software for metrological support of calculations with inaccurate initial data».
2025−2026. Head of grant 25−21−20 109 «Improving tools for studying processes affecting the in vitro transcription reaction in pilot production of RNA vaccines».
2023−2024. Head of grant 23−29−694 «Nonparametric methods and software tools based on them for reconciling and refining inaccurate data based on known relationships and a priori information».
2025−2026. Participant in grant 25−29−20 141 «Optimal and suboptimal methods for reconciling and refining inaccurate industrial data based on co-opting information about their internal relationships and about mathematical models of digital production».
2022. Member of the research team of grant 20−15−228 «Cellular exosomes in influenza A virus infection: role in pathogenesis and potential for therapeutic use».
Foundation for Assistance to Small Innovative Enterprises
2021−2022. Participant of grant 221ГССС15-L/78 413 «VideoList platform for compiling thematic collections of video content».
2022−2024. Participant of grant 20ГКод-ЦТ-С17-D5/81 626 «DataReconcile: open access library for reconciling inaccurate industrial data by considering the relationships between them for the needs of industrial enterprises of Industry 4.0 and the goals of the National Technology Initiative».
2023−2024. Participant of grant 2376ГССС15-L/90 091 «Artificial intelligence systems for the ViSaver platform for compiling thematic collections of video content».
2023−2024. Participant of grant 5025ГС1/85 499 «Development, manufacture, testing and refinement of a prototype digital grammeter with wireless data transmission».
SPbPU World-class scientific center
2020−2024 (with breaks). Senior researcher, Scientific and technical complex «Mathematical modeling and intelligent control systems».
2023. Senior researcher, Scientific and technical complex «Digital technologies in medical and biological systems».
Siemens AG
2021−2022. Participant in the project «Development of an integrated approach to diagnosing the operation of industrial equipment by shooting high-speed video, applying motion amplification algorithms and specialized mathematical processing «. Additional agreement to the contract No. SCM/RaD/CT-2020 between SPbPU and Siemens AG.
2021−2022. Participant in the project «Development of methods and models of predictive analytics in rare events: using the example of emergency and/or pre-emergency situations during the operation of an electric motor». Supplementary agreement to the contract No. SCM/RaD/CT-2020 between SPbPU and Siemens AG.
Hydraulic engineering
2008−2022. Participant in more than 50 R&D projects on the subject of physical and mathematical modeling of the interaction of sea waves with hydraulic structures.
Research topics:
- Methods of spectral decomposition of measured signals, consistent with their accuracy.
- Coordination of the architecture and complexity of neural networks for processing measured signals with the accuracy of the information being processed.
- Methods and means of extrapolating measured signals, consistent with the accuracy of the information being processed.
- Methods and means of restoring gaps in measured signals, consistent with the accuracy of the information being processed.
- Methods and means of testing statistical hypotheses based on interval data.
- Methods for assessing the approximations accuracy of replacing software systems based on floating-point computations by fixed- point calculation systems.
- Methods and means for rapid estimating of robust analogues for random variables moments based on the median operator. 8) Methods and means for constructing reliable confidence intervals based on small samples.
- Optimal methods and means for estimating the global sensitivity of programs to variations in input arguments.
- Robust measures of skewness and kurtosis of unimodal probability distributions.
- Localization of faults in electric power systems based on the results of control measurements.
Field of study:
Research interests:
Statistical data processing, mathematical processing of inaccurate and incomplete data, decision making under uncertainty, software engineering, measurement technologies, instrumentation, measuring and control systems, metrological assurance, mathematical modeling for engineering problems, algorithmization and numerical methods for embedded systems
Research highlights:
Most significant results of intellectual activity over the past 5 years.
- Taraskin A.S., Semenov K.K., Lozhkov A.A., Vasin A.V., Klotchenko S.A., Zabrodskaya Ya.A. A method for quantitative multiplex analysis of alpha-2-macroglobulin, fetuin A and serum amyloid a1 as inflammatory factors in blood serum using MALDI- TOF mass spectrometry. Patent for invention 2 789 503 C1,
03.02.2023 . Application No. 2 022 112 637 dated 11.05.2022. - Garanin V .A., Semenov K.K. Program for nonparametric reconciling the results of joint measurements of interrelated quantities using the method of probability density function’s projection restoration / Certificate of registration of computer program 2 023 610 445,
11.01.2023 . Application No. 2 022 686 089 dated 27.12.2022. - Garanin V.A., Semenov K.K. Program for assessing the increase in measurement accuracy due to considering the known functional relationships between measured quantities / Certificate of registration of computer program 2 023 610 961,
16.01.2023 . Application No. 2 022 686 101 dated 27.12.2022. - Tselischeva A.A., Semenov K.K., Garanin V.A. Program for calculating approximate error estimates for solutions of systems of nonlinear equations with imprecise parameters based on local polynomial approximation / Certificate of computer program registration 2 023 617 702,
12.04.2023 . Application No. 2 023 615 916 dated 30.03.2023.
Specific requirement:
- To be sufficiently trained in the field of probability theory and mathematical statistics, computational mathematics — for Ph.D. theses in the field of data processing.
- To be sufficiently trained in engineering — for Ph.D. theses in the field of instrumentation.
- To have experience in preparing and publishing scientific articles in leading international scientific journals or conferences.
- Skills of software development (preferred — Python and/or Matlab, R).
Main publications:
- Belyaev, N.D., Lebedev, V.V., Nudner, I.S., Mishina, A.V., Semenov, K.K., Shchemelinin, D.I. (2014) Experimental study of tsunami-type waves impact on soil at foundations of offshore gravity platforms. Magazine of Civil Engineering. Vol. 50(6). P. 4−121. DOI: 10.5862/MCE.50.1 [Q2]
- Lebedev, V.V., Nudner, I.S., Belyaev, N.D., Semenov, K.K., Schemelinin, D.I. (2018) The formation of the seabed surface relief near the gravitational object. Magazine of Civil Engineering.Vol. 79(3). P. 120−131. DOI: 10.18 720/MCE.79.13 [Q1]
- Semenov, K.K., Reznik, L.K., Solopchenko, G.N. (2015) Fuzzy intervals application for software metrological certification in measurement and information systems. International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems. Vol. 23. P. 95−104. DOI: 10.1142/S0218488515400085. [Q2]
- Taraskin, A.S., Semenov, K.K., Protasov, A.V., Lozhkov, A.A., Tyulin, A.A., Shaldzhyan, A.A., Ramsay, E.S., Mirgorodskaya, O.A., Klotchenko, S.A., Zabrodskaya, Y.A. (2021) Quench me if you can: Alpha-2-macroglobulin trypsin complexes enable serum biomarker analysis by MALDI mass spectrometry. Biochimie. Vol. 185. P. 87−95. DOI: 10.1016/j.biochi.2021.03.005. [Q1]
- Taraskin, A.S., Semenov, K.K., Lozhkov, A.A., Baranovskaya, I.L., Protasov, A.V., Ramsay, E.S., Tyulin, A.A., Mirgorodskaya, O.A., Vasin, A.V., Klotchenko, S.A., Zabrodskaya, Y.A. (2022) A novel method for multiplex protein biomarker analysis of human serum using quantitative MALDI mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. Vol. 210. Paper 114 575. DOI: 10.1016/j.jpba.2021.114 575. [Q1]
- Semenov K.K., Taraskin A.S., Yurchenko A., Baranovskaya I., Purvinsh L., Gyulikhandanova N., Vasin A.V. (2023). Uncertainty estimation for quantitative agarose gel electrophoresis of nucleic acids. Sensors. Vol. 23. No. 4. Paper 1999. DOI: 10.3390/s23041999 [Q1]
- Semenova A.S., Semenov K.K., Strochevoy M.A. (2023). One, Two, Three: How Many Green Patents Start Bringing Financial Benefits for Small, Medium and Large Firms? Economies. Vol. 11(5). Paper 137. DOI: 10.3390/economies11050137 [Q2]
- Semenova A.S., Semenov K.K., Storchevoy M.A. (2024) Green patents or growth? European and the USA firms' size dynamics and environmental innovations financial gains. Sustainability. Vol. 16(15). Paper 6438. DOI: 10.3390/su16156438 [Q1]
- Semenova A.S., Semenov K.K. (2024) Does green mean paying? Environmental innovations and financial performance: meta-analytical insights/approach. Journal of Infrastructure, Policy and Development. Vol. 8(14). Paper 5255. DOI:24 294/jipd5255 [Q2]
- Garanin V.A., Semenov K.K. (2024). Increasing measurement accuracy by nonparametric data reconciliation. Measurement. Vol. 238. Paper 115 235. DOI: 10.1016/j.measurement.2024.115 235 [Q1]
Olympiad Profiles:
- Computer & Data Science
- Engineering & Technology