Nikita is a postdoctoral researcher with a background in applied mathematics and computer science. He defended his doctoral dissertation in 2023 that was devoted to modelling and solution methods for renewables-driven energy markets. His current research interests concern the development of efficient optimisation methods for machine learning surrogates. Primary, neural networks and decision forests.
Interests
- Stochastic programming
- Decomposition techniques
- Parallel Programming
- Machine learning
- Energy markets
Education
DSc in Technology, 2023
Aalto University (Finland)
MSc in Computational Engineering, 2018
Lappeenranta university of technology (Finland)
MSc in Applied Mathematics and Informatics, 2018
Southern Federal University, Institute of Mathematics, Mechanics and Computer Science (Russian Federation)
BSc in Applied Mathematics and Informatics, 2016
Southern Federal University, Institute of Mathematics,Mechanics and Computer Science (Russian Federation)