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1996 …2022

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Personal profile

Research interests

My research is focused on development of new efficient methods for molecular and mesoscale simulations with applications to practical problem of colloid and interface science. Since joining Skoltech in 2018, I am working on data-driven modeling, which incorporates classical deterministic methods, such as molecular dynamics or finite elements and machine learning. These hybrid methods are applied in computational design of porous materials, as well as tailoring polymers and surfactants to particular applications (e.g. in oil & gas).

After obtaining PhD, I worked as a scientist at a small research company located in NJ, and later at Rutgers University as a research professor. I co-authored about 65 journal papers and numerous research reports on different projects. Because I enjoy working on live practical topics, Skoltech attracts me by strong connections to industry, not to mention students of talent and academic preparation and computer facilities.

Academic Reputation and Societal Impact

The current research program more or less follows the directions outlined in my research proposal sent with the application package (1) new approaches to modeling and optimization of formulation for detergent| personal care | oil& gas | pharmaceutical industries (2) flows of fluids with complex rheology (3) computational materials design. All directions are very practical and aimed at the development of new computational methods rather than fundamental discoveries.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 7 - Affordable and Clean Energy

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