Gabin Maxime Nguegnang
I am passionate about sciences and its applications with a great interest in Artificial Intelligent (Machine Learning and Deep Learning). I am a PhD candidate currently working on the analysis of gradient descent and stochastic gradient descent for training Deep Neural Networks at the RWTH Aachen University in Germany. I hold an MSc in Applied Mathematics with a background in dynamic systems, numerical analysis and modelling. In addition, I hold a co-operative master in Industrial Mathematics with a major in Machine Learning. Past works have been focused on Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks; Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks and Modeling Systems taking into account impulsive phenomena.
