R&D Engineer / Graduate Research Assistant
Oct 2024 – PresentHochschule Aalen · Aalen University, Germany
Multi-sensor condition monitoring and predictive maintenance for lubricants in industrial gearbox and hydraulic systems.
- Built and instrumented experimental setups combining sensor channels for viscosity, particle contamination, and optical transmission/scattering over time
- Developed machine-learning models to fuse sensor channels and estimate Remaining Useful Life (RUL)
- Built ANN and CNN virtual sensors in Python that predict fluid properties from low-cost multi-sensor inputs; CNN outperformed LSTM and was selected as the primary model
- Structured decision frameworks incorporating economic cost modeling
- Authored and contributed to competitive research funding proposals with industrial partners
- Supervise Bachelor’s and Master’s thesis projects; contributed to 5 papers as first author and co-author