Development and support of student technology startups by creating a successful startup community; assistance in providing favorable conditions from external partners for investment and development of ideas.
The university’s project-based activities are aimed at implementing grant-based and commercial projects, as well as at enhancing the availability of education in IT areas.
Lab's mission is to conduct cutting-edge research in data analysis areas through both applied and theory based approaches in order to produce noteworthy results that are not only publishable, but applicable to our daily lives.
Also, it is significantly important for us to provide an environment to university students that will help them develop and polish their research skills.
Predicting the protein-ligand affinity with machine learning methods; сonvolutional neural networks for protein structure prediction; Monte-Carlo-based iterative generation of multiple sequence alignments for protein homolog search; development of FFT-based algorithm to compute Born radii in the generalized Born theory of biomolecule solvation
Traffic modeling by using SUMO tools with platoons and AI routing of intersection
Mathematical modelling of traffic flows (at micro and macro levels) including modeling of traffic flow consisting of unmanned vehicles and development of algorithms for their interaction