Rajendhar Junjuri hails from Telangana, India. He received a master’s degree in physics from Osmania University, Inda, in 2011. He obtained Ph.D. in Physics from the University of Hyderabad, India, in 2020. His doctoral work focused on developing a low-cost Laser Induced Breakdown spectroscopy (LIBS) system combined with chemometrics for various applications like plastic waste sorting, biological tissue mapping, standoff detection of explosives, etc. His thesis results were published in various reputed international journals and appeared in the OSA optics year review 2020.

Salvatore was born in Castellammare di Stabia on July 8th, 1996. He achieved his Master’s degree in Physics at Università degli Studi di Napoli “Federico II” in 2020 with a thesis based on the realization of a Confocal Microscopy to study the spatial distribution of unitary polarized fields under the supervision of Prof. Pasqualino Maddalena. He is currently a PhD student in Physics at Politecnico di Milano in VIBRA group and a Data Scientist at Intesa Sanpaolo, working in the Artificial Intelligence Department, carrying on activities related to the application of Big Data in the banking field.

Neural Networks (NNs), also known as Artificial Neural Networks (ANNs), are a specific subset of Machine Learning (ML). Deep Learning algorithms employ deep ANNs in order to exploit huge amounts of data to perform impressive tasks, often related to image and speech data, e.g. object detection and machine translation. Neural Networks were initially inspired by...