Parametric model order reduction of a thermoelectric generator for electrically active implants
Abstract
Thermoelectric generators are investigated as supplementary power sources for electrically active implants. We analyze a thermal model of human tissue with an implanted generator. The impact of convection at the skin surface is studied by applying parametric model order reduction with film coefficient and ambient temperature as parameters. We propose to use our approach for efficient parameter studies and the co-simulation of generator and electric circuitry.
Onkar Jadhav
Research Fellow
Applied Machine Learning Scientist specializing in the research, optimization, and machine learning. As a researcher, I bring deep theoretical and practical understanding of Transformer architectures and state-of-the-art deep learning methods. I am proficient in developing robust ML pipelines and translating cutting-edge research into effective product features.