While at AIMS, Gabin analyzed fuel consumption data of power generation plants then used it to train Machine Learning and Neural Networks models. His work revealed the origin and the key factors of an excessive fuel consumption of 84617 liters in 25 clusters over a period of 11 months. Then recommended to the company (ManPowerCam) to automate the way of collecting their data and include into the dataset other key features of fuel consumption such as battery level, oil pressure, coolant temperatures, and load..

Gabin is currently pursuing his PhD studies at the RWTH (Rheinisch-Westfälische Technische Hochschule) Aachen University, Germany