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Researcher

Ilya Starikov

Optimization · PINNs · Financial AI · Robotics

Ilya Starikov

Ilya studies mathematics at Lomonosov Moscow State University. His interests span optimization, physics-informed neural networks, financial AI, and robotics, with work on mining simulation, fleet management, and multi-fidelity robotic co-design.

Research interests

  • Optimization
  • Physics-informed neural networks
  • Financial AI
  • Robotics

Education

  • Specialist degree in Mathematics at Lomonosov Moscow State University — in progress, expected May 2027. Faculty of Mechanics and Mathematics, Department of Mathematical and Computer Methods of Analysis.

Selected experience

  • Developed OpenMines, an open-source framework for mining simulation and autonomous truck dispatching.
  • Investigated memory-augmented hidden Markov models and multi-objective queue optimization for mining fleet management.
  • Coauthored Multi-Fidelity Robotic Co-Design via the Refinement Limit with Gordei Verbii and Kirill Bunin, accepted as an abstract at the RSS 2026 L2P workshop.
RESEARCH RECORD

Selected & shared
work.

2026Accepted workshop abstract

Multi-Fidelity Robotic Co-Design via the Refinement Limit

Gordei Verbii, Kirill Bunin, Ilya Starikov

RSS 2026 Lab-to-Production Workshop: Toward Industrial-Grade Perception and Manipulation

Paper ↗

Research projects

OPEN TO COLLABORATORS

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