Madiyar
Mukanov
Applying the rigor of measurement science to learning systems and robot perception. Building physics-first autonomy for the real world.
About me
I am a robotics and computer-vision engineer with a physics-first mindset. I recently completed my M.Sc. in Robotics (2025) at Satbayev University, where I built an intelligent patient-monitoring platform. Specializing in Sim-to-Real (S2R) transitions, ensuring that algorithms developed in simulation maintain high fidelity in unstructured physical environments.
"I apply the rigor of measurement science to learning systems and robot perception."
Scientific Rigor
- precision_manufacturing Stochastic processes & Monte Carlo methods for decision-making
- settings_input_component Signal theory for sensor modeling & error propagation
- functions PDEs & numerical methods for optimization
- memoryROS2 Humble & Spatial AI architecture
- box_editMLOps (Docker, DVC) for reproducible pipelines
Nuclear Physics
Kazakh National UniversityRobotics & AI
Satbayev UniversityElectronics Winner
Kyoto Inst. of TechnologySelected Works
Engineering Artifacts & Research
CodiBit & CodiEditor — CodiPlay
Robotics engineering at CodiPlay (Abu Dhabi, UAE) — developing CodiBit (ESP32 + MicroPython) and CodiEditor, a web IDE for block-based programming education.
Patient Monitoring Platform
M.Sc. Thesis project focused on thermal-imaging-based monitoring. Presented at AIR 2025, utilizing IR-RGB fusion for contactless temperature screening and face identification.
Core Motivation
"Make ideas touch reality—turning physics and code into reliable decisions that help people in messy, real-world environments."
KERNEL: PHYSICS_CORE_V2
STATUS: DEPLOYED