Evgenii Sharaborin was born on December 21, 1992, in Pokrovsk, Yakutia. He has BSc and MSc degree in Applied Mathematics and Physics with honors of Moscow Institute of Physics and Technology (MIPT), the department of Problems of Physics and Energetics, the base department – the Problem of Nuclear Safety in modern energetics technologies. Currently, he is a second-year Ph.D. student at the Skolkovo Institute of Science and Technology (Skoltech) at the Center for Design, Manufacturing, and Materials. The Advisor of Evgenii is Aslan Ramazanovich Kasimov.
His area of interests includes the development of effective machine learning methods, adaptive mesh refinement approaches, and multi-component/phase flow modeling and simulation.
The topic of Ph.D. research is “Multiscale modeling of complex rheology polymer resin flow” using an adaptive multiresolution method Basilisk which is one of the best open source software for simulation of multiphase flow.
Some video results in my youtube channel.
Research Interests: Micro- and nanometer-scale fluid dynamics: emulsions, suspensions, and complex fluids in micro-nano-channels and porous media, dynamics and acoustics of bubbles and bubbly liquids , multiphase systems
Research interests: Mathematical modeling, scientific computing, fluid dynamics, detonation theory
Research Interests: Additive manufacturing of functional graded parts, 4D printing, 3D biofabrication of implant & scaffolds, and laser treatment of materials
PhD, Research Institute for Machine Science of RAS (IMASH RAN),
Research Interests: mechanics of composite materials, simulation of technological processes, topology optimization of structures
Research Interests: Mechanics of solids, polymer composites, mechanical testing, simulation of constitutive material behavior
Research Interests: Theoretical, computational, and experimental micro- and nano-mechanics
PhD. Faculty of Physics, Lomonosov Moscow State University. Research: Carbon structures, composite materials, graphene, 2D materials, metal 3D printing, Bioprinting, additive manufacturing
PhD. Structural dynamics and modal parameters identification methods. Bauman Moscow State Technical University. Research: Simulation of complex technical systems, simulation-aassisted non-destructive testing, meta-modeling and machine learning techniques for predictive analytics.
Research: computational fluid mechanics, additive manufacturing, phase-field modeling
Office: E-B5 open space
PhD in Computing Systems, Complexes and Networks, 2010
+7 926 933 3170
d.krasovsky @ skoltech.ru
Specialist in Material Science