Aleksandr Algazinov

Aleksandr Algazinov

Researcher and Computer Science graduate student at Tsinghua University. Leveraging 3+ years of Machine Learning experience, including 2.5 years as a Data Scientist at Russia’s two biggest banks, to solve complex business and research problems using advanced AI tools.

Graph-STREAM

  • We are building an Graph-based pipeline to optimize the vehicle traffic.

  • High traffic load remains a major issue, especially for big cities. Traffic can be forecasted, therefore, mitigated by changing the navigation trajectories, controling the traffic lights, etc. This system can be fully automated by using AI models. Our goal is to create a unified framework combining anomaly detection, forecasting, and human feedback modeling in traffic systems.

  • Please check the project repository for more detailed information.

TrueGL

  • We are developing a search engine that introduces a novel AI-driven truth and reliability scoring system, assigning each search result a truth parameter on a scale of 0 (lie) to 10 (absolute truth).

  • Inspired by the need to combat misinformation, this approach redefines search engines by providing users with a quantifiable measure of information trustworthiness.

  • Please check the project repository for more detailed information.

Mutli-Agent MATE

  • We are designing a multi-agent system that is capable of transforming one modality to another in real-time based on the user’s needs.

  • Accessibility is a critical issue for the elderly and people with disabilities. AI can serve as a powerful tool to bridge the gap between different modalities. Our goal is to create a convenient and efficient system that can make it easier for users to interact with the world around them.

  • Please check the project repository for more detailed information.

I am always looking for motivated collaborators to do exciting research and applied projects together. If interested, please contact me by mail or telegram!