A PhD Research Project: Hierarchical Decision-Making Under Uncertainty
Recently Published Research: Reinforcement Learning Under Epistemic Uncertainty
Maksim Loginov
ML Engineer / RL Researcher focused on industrial decision-support systems
Open to ML / Data Engineering roles, research collaborations, and industrial AI prototype work.
I build simulation-based prototypes for maintenance optimization, operator-in-the-loop decision loops, and uncertainty-aware diagnostics — combining hierarchical MARL research with practical Python / SQL engineering.
What I'm building
I am building a research-to-prototype path for industrial decision-support systems: from formal models of uncertainty and reinforcement learning to small, testable simulation environments. The current focus is maintenance optimization, operator-in-the-loop decision workflows, and diagnostic models that remain useful when data is incomplete or conflicting.
Selected Work
Dempster–Shafer Theory for Industrial Diagnostics
Published research support for CCM diagnostics under uncertainty — with journal PDF and live demo.
Belief Functions · VIVT Journal · Demo available
PDF · Demo · Case study
Industrial MRO Optimization with Hierarchical MARL
Simulation-based decision-support prototype: hierarchical MARL, HITL feedback, constrained policies.
MARL · HRL · CMDP · HITL · Maintenance Simulation
Research Focus
My research centers on decision-making under uncertainty: hierarchical and multi-agent reinforcement learning for industrial maintenance, human-in-the-loop approval loops, and evidential (Dempster–Shafer) models for diagnostics. I aim to connect formal decision models with simulation environments and small engineering prototypes.
Recent Writing
Launching the StrataMar Project
Reinforcement Learning for Decision-Making in Complex Systems
Final vision of hierarchical multi-agent reinforcement learning framework for maintenance and repair (MRO)
Phd article on hierarchical multi-agent reinforcement learning framework for maintenance and repair (MRO) optimizatio...
For visitors
Hiring
ML Engineering, Data Engineering, Research Engineering, and industrial AI prototype roles.
Research
Collaboration on RL, MARL, HITL, Dempster–Shafer theory, and decision-making under uncertainty.
Industrial collaboration
Simulation-based studies, maintenance optimization, diagnostics, and operator-in-the-loop decision support.