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...

The medical student, Hoang-Ngan Nguyen, of the UKJ team had the great opportunity to present his results on hyperspectral definition of head and neck tumor margins at the 3rd International Symposium on Tumor-Host Interaction in Head and Neck Cancer in Essen (Germany). He could show the high potential of...

Sisira recieved her Integrated Master's degree in Photonics from International School of photonics, Cochin University of Science and technology, India in July 2021. She served as the Vice president of the Optical Society of ...

Samuel started his studies at the ESPCI Paris, an engineering school covering physics, chemistry, and biology from which he graduated in 2013. He then proceeded to a master’s degree in Condensed Matter Physics from ...

For the comparison of spontaneous Raman spectra (SR) and coherent Raman spectra (CRS), such as coherent anti-Stokes Raman spectra (CARS) and stimulated Raman spectra (SRS), complex preprocessing, calibration and standardization workflows are needed. The modeling of the Raman ...

A better understanding of the complex metabolic reprogramming induced by radio- and chemotherapy is essential to define the pathways involved in treatment resistance and senescence development, which contribute to ...

ramApp is an easy-to-use graphical tool for the pre-processing of hyperspectral images, with a focus on maps obtained using Raman spectroscopy. It covers the most-used tools and ...

A first successful measurement of a broadband CARS spectrum from a thin liver tissue section was successfully acquired at the Leibniz Institute of Photonic Technology in Jena utilizing a ...

Cell-in-cell structures are observed in tumor tissues in vivo and are generally associated with poor prognosis for ...