BitBang Trainee Nicola Ronzoni and CTO Andrea De Marco publish research
At the beginning of 2022, Nicola Ronzoni, a master’s student in Statistical Sciences at the University of Bologna, began a research project under the guidance of BitBang Chief Technical Officer Andrea De Marco, entitled “Predictive Maintenance Experiences on Imbalance Data with Bayesian Optimization.”
Seeking to improve machine learning techniques in the context of industrial digital transformation, Ronzoni and De Marco studied the impact of Bayesian optimization upon imbalanced datasets, focusing on creating a versatile pipeline to address both more complex failure types and relatively simpler machine status classifications. Their findings demonstrated good generalization properties in the use cases of manufacturing machine and transmission lines.
Ronzoni presented this research during a poster session at the Workshop on Computing in the National Institute of Nuclear Physics (Workshop sul Calcolo nell’I.N.F.N.) in Paestum, winning second place. He will participate in the 22nd International Conference on Computational Science and Its Applications from July 4 – 7 at the University of Malaga, Spain. BitBang is delighted to have sponsored this research and extends its congratulations to Nicola on his achievement.
