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Dr. Kulikov became a part of the Department of Physics in 2022. Prior to that, he earned his Ph.D. in Physics (with a focus on Applied Optics) from Lomonosov Moscow State University in 2011 and began his career at the birthplace of turbulence theory, the Institute of Atmospheric Physics (Obukhov IAP), in 2011. He then joined the Department of Electro-Optics and Photonics of the School of Engineering at the University of Dayton in 2014.

Throughout his career, Dr. Kulikov has actively engaged in teaching undergraduate and graduate-level courses at Lomonosov MSU and the University of Dayton. He has been involved in projects devoted to developing LIDARs for civil aviation safety, turbulence remote sensing, and creating AI-based (convolutional networks) sensors for analyzing atmospheric characteristics. He has also conducted research on atmospheric effects under deep turbulence and mirage-type conditions.

Research interests

• Remote sensing
• Optical communications
• Energy transfer
• Atmospheric turbulence
• Deep turbulence effects
• Mirage effects
• Weather predictions
• AI-based atmospheric sensin

Courses taught

• PHY 201: College Physics I
• PHY 202: College Physics II
• SCI 190: The Physical Universe
• EOP 657: Principles of Atmospheric Optics and Applications

Selected publications

V. V. Kolosov, V. A. Kulikov, and E. Polnau, "Dependence of the probability density function of laser radiation power on the scintillation index and the size of a receiver aperture," Optics Express, 30, 2, 3016-3034, 2022.

V. A. Kulikov, S.L. Lachinova, M.A. Vorontsov, and V.S. Rao Gudimetla, "Characterization of localized atmospheric turbulence layer using laser light backscattered off moving target", Applied Sciences 10, 19, 6887 (2020).

V.A. Kulikov and M.A. Vorontsov, “Analysis of the joint impact of atmospheric turbulence and refractivity on laser beam propagation,” Optics Express, 25, 23, 28524-28535 (2017).

V.A. Kulikov, “Estimation of turbulent parameters based on the intensity scintillations of the laser beam propagated through a turbulent water layer”, Journal of Applied Physics 119, 123103 (2016).

V.A. Kulikov, M.S. Andreeva, A.V. Koriabin and V.I. Shmalhausen, “Method of estimation of turbulence characteristic scales” Applied Optics, 51, 36, 8505-8515 (2012).

Selected presentations

V. Kulikov, and A. Vorontsov "Impact of turbulence profile, and inner and outer scales on accuracy in Cn2 prediction using deep neural network-based signal processing", Invited talk, Imaging Congress 2023, Optica, Boston, 2023.