Completing MSc in Management Engineering, Politecnico di Milano, Italy, expected graduation: early 2022

Research topics:Cooperative Multi-Agent Systems, Product Management, Federated Learning, Smart Cities Infrastructures, Computer Security Management
Master Thesis: «Augmented sensing for cooperative systems». Group of prof. Nicoli. Part of the research is focused on V2X technologies and their implementation in urban environments. If you can provide any help or data, contact me via mail.

MSc System and Program Engineering, Higher School of Economics, Moscow 2019-2021
Research Topics: Cooperative and Decentralized Systems, Computer Security, Business Intelligence, UX Researches
Summary:Parallel Master Course in Russian University held almost fully online due to the pandemic situation.

Erasmus+, TU Munich, Germany, 2018-2019
Research topics: Performance Based Design, Robotics in Construction, Project Management, Modeling, Optimization and Simulation, Transport Planning, Industrial Technologies.
Summary:Completed several courses and projects. Developed Grasshopper application using GhPython. I have been also busy writing my Bachelor Thesis while working at Ossenberg Engels Concept & Consulting.

BSc Cybernetics, St. Petersburg Polytechnic University, Russia, 2019
Thesis title: Applications of Generative Design and Multi-Agent Modeling
Summary:Carried out an in-depth study and created a multi-agent simulation model representing movement of people and vehicles inside congested physical environment and analysed usage of spaces, which helped to support final reconstruction decisions. Developed project is initially a part of the work completed by 'HENN Architekten' office in Berlin redesigning existing layout located in the north of Munich. The simulation model is created with AnyLogic modelling package using Java.
The project is managed fully by me with a support of a project management team at Ossenberg Engels Concept&Consulting in cooperation with strategy department of BMW AG. The data used in the model has been acquired and provided by TNS Kantar and also by our team using several sources such as WiFi access points.
The model showed the way of improving traffic situation in congested environments and the usage of spaces within the certain territory. With the real-time data source the model can be extended to a complete digital twin of the environment.