4 - Research
My research interests lie at the intersection of electrochemistry, signal processing, diagnostics, and energy systems.
Doctoral research
I completed a PhD focused on lithium-ion battery diagnosis using electrochemical noise analysis.
The work investigated how naturally occurring voltage and current fluctuations can be exploited to estimate battery health through signal processing and diagnostic feature extraction.
Current research topics
- Lithium-ion battery aging and diagnostics
- Electrochemical noise analysis
- Proton-exchange membrane fuel cells
- Physical modeling of energy systems
Methods and tools
- Wavelet-based signal decomposition
- Unsupervised learning
- Scientific computing with Python
- Reproducible research workflows
Identifiers
- ORCID: 0000-0002-3334-725X
Selected publications will be added progressively.