Svyatoslav has expertise in mathematics, physics, and computer sciences. His major interests are in the areas of micro/nano-study of fluids and in parallel computing for scientific applications.
Dr. Chugunov received his Ph.D. degree in 2012 from Mechanical Engineering department of North Dakota State University, USA, studying behavior of charged particles in hot and cold plasma systems with the help of massive parallel computing. In 2013-2014, he was working as a Post-Doctorate Research Associate at the University of Georgia, USA, developing a parallel numerical model of photon propagation in biological tissues. The model was based on Monte Carlo numerical technique and was simulated on a high-performance cloud-computing platform.
Modeling of physical processes associated with oil recovery at Skoltech Center for Hydrocarbon Recovery with the help of high-performance computing techniques
Chugunov S., Akhatov A., “Plasma at Atmospheric Pressure: Fluidic Modeling and Parallel Computing”, IEEE Transactions on Plasma Science, Vol. 41, No. 10, pp. 2962-2978, October 2013
Chugunov, S.; Li, C., “Parallel Implementation of Inverse Adding-Doubling and Monte Carlo Multi-Layered Programs for High Performance Computing Systems with Shared and Distributed Memory”, in preparation.
Chugunov, S.; Li, C., “Simulation of Light Propagation in Healthy, Neck Rot-infected, and Sour Skin-Infected Onion Bulbs Using Monte Carlo Multi Layered Method”, in preparation.
Chugunov, S.; Li, C., Scherm, H., “Development of Near-Infrared Hyper-Spectral Method for Characterization of Wetness on the Surface of Leaves”, in preparation.
Ph.D. (Mechanical Engineering, GPA: 4.0/4.0), Fall 2012, North Dakota State University, USA, “High-Performance Simulations for Atmospheric Pressure Plasma Reactor”, (All requirements are fulfilled) M.S. (Mechanical Engineering, GPA: 4.0/4.0), 2009, North Dakota State University, USA, “Analysis of Liquid Structures: Statics and Dynamics”
B.S. (Applied Mathematics), 2004, Bashkir State University, Russia, “Solution of the 2D problem of Galvanic Cathode Protection for Pipelines using Integral Boundary Elements Method”
High performance computing. Parallel programming. Development and optimization of numerical methods
Theoretical and numerical modeling for fluidic and plasma systems. Methods of experimental analysis. Automation of sensing and characterizing systems
Plasma generation, sustainment, and confinement. Plasma fusion technology. Behavior of plasma species, electromagnetic and electrostatic waves in plasma
Plasma applications for energy generation, bio-medicine, surface treatment, and materials deposition
Energy of fluids’ contact. Fluidic interfaces, surface energy, and behavior of the triple contact line at micro- and nano-scale. Transition of continuous fluidic models from micro- to nano-scale and applicability of microscopic physical properties for nano-sized liquid films
Spectrometric techniques and applications for bio-materials
Hyper-spectral imaging and remote sensing in Visual and Near-Infrared range
Best Seminar Presentation award, The Fall 2011