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Laboratory of Photonics

Head of the Lab: Konstantinov Yuri Alexandrovich

Phone: +7 (919) 47-0-7-232

E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Laboratory website: https://photonics.permsc.ru/

The Laboratory of Photonics was established in 2013 on the initiative of the Chairman of the Perm Scientific Center, Full Member of RAS V.P. Matveenko and the General Director of the Perm Scientific and Industrial Instrument-Making Company, A.G. Andreev (PhD in Economic Sciences). Since 2024, the laboratory has become the laboratory of the ICCM UB RAS.

The first head of the Laboratory was Doctor of Physics and Mathematics A.S. Kurkov, who was a world-class specialist in fiber optics and fiber lasers. Fiber lasers were the central theme of the laboratory's scientific activity during its initial period. In 2015, the Laboratory was headed by I.A. Lobach, PhD in Physics and Mathematics, and in 2018 he was succeeded by Yu.A. Konstantinov, PhD in technical sciences, who proposed new questions for investigation: metrological and sensor applications of optical frequency domain reflectometry, technologies of active and passive optical components and methods for their testing, as well as medical photonics and biophotonics.

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Current laboratory interests are concentrated on interdisciplinary research that addresses the intersection of distributed fiber-optic metrology, sensorics, and key challenges in artificial intelligence, mechanics, mining, biology, medicine, and agriculture. One of the laboratory priority tasks is the development of domestically produced flexible and multifunctional instruments for recording thermal-mechanical fields in structural materials undergoing testing. The correlation and neural network methods employed by the laboratory team have proven useful in developing diagnostic methods in neurology; this investigation is being conducted jointly with colleagues from the E.A. Wagner Perm State Medical University. 

Recent collaboration research with Universiti Kebangsaan Malaysia and Tenaga Universiti examines the applicability of machine learning and artificial intelligence techniques to improve the accuracy of distributed fiber-optic sensors.

 

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Development of new methods for distributed fiber-optic metrology and ultra-high spatial resolution sensorics based on frequency-domain optical reflectometry


Belokrylov M.E. et al. Sensors. 2024. V. 24. No. 4. P.1253–1271

 

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Creation of new approaches for non-destructive study of integrated optical and fiber-optic elements


Ponomarev R.S. et al. Appl. Sci. 2021. V. 11. No. 21. P. 9853–9863

 

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Mathematical modeling of backscatterring processes in special optical fibers exposed to external influences


Barkov F.L. et al. Quantum Electron. 2019. V. 49. No. 5. P. 514–517

 

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Development of new methods for detecting Brillouin scattering frequency shifts in optical fibers to study the properties of light-guiding media or to construct temperature and strain field


Nordin N.D. et al. Sensors. 2022. V. 22. No. 7. P. 2677–2694

 

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Development of new methods for distributed acoustic fiber-optic sensorics based on highly coherent time-domain reflectometry


Turov A.T. et al. Algorithms. 2023. V. 16. No. 9. P. 440–458