SUJIT SAHOO

Predictive modelling and anomaly detection in electric motors by using machine learning methods.

Analysis Engineer Test data analysis in frequency domain for Rotating Components division Model building and parameter optimization for correlation with the test data

Master Thesis : Reconstruct training data of a convolutional neural network by combining activation maximization with generative adversarial training. Course modules : Pattern Analysis, Deep Learning, Optimization, Algorithms of Linear Algebra, Advanced programming Techniques