Researcher at Digital Research Lab (Baku). I build fast, physics-based and machine-learning surrogate models that let engineering systems be monitored and optimised in real time — currently for oil & gas production.
MSc, Intelligent Systems (UNEC, 2027). Thesis: physics-informed models for lithium-ion battery state-of-health — and how to evaluate them fairly (leakage-free splits, equal-information baselines, statistical power). Paper in preparation.
Interests: scientific machine learning · surrogate and reduced-order modelling · uncertainty and evaluation methodology · production system modelling and optimisation
ORCID 0009-0003-4261-828X · LinkedIn · yunisdev.04@gmail.com