Nicola Altini received the B.Sc. degree (cum laude) in Computer Science and Automation Engineering and the M.Sc. degree (cum laude) in Computer Engineering from Politecnico di Bari, Bari, Italy, in 2017 and 2019, respectively. In December 2022, he obtained the Ph.D. in Electrical and Information Engineering at Politecnico di Bari, with the final dissertation “Computational imaging for precision medicine: the emergence of radiomics, pathomics and deep learning”, under the supervision of Prof. Vitoantonio Bevilacqua and Prof. Francescomaria Marino.
He is actually an Assistant Professor (RTDa – fixed term) in Electronic and Information Bioengineering at the Department of Electrical and Information Engineering of Polytechnic University of Bari.
His main research interests include Medical Image Analysis, Computer Vision, Deep Learning, Radiomics and Pathomics.
In the period November 2022 – March 2023, he has been a Research Fellow on the subject “Intelligent Next Generation Human Machine Interfaces (HMI) for Industrial Machinery” (SSD: ING-INF/06).
In the period December 2019 – July 2020, he worked as research assistant at the Polytechnic University of Bari on SOS – “Smart Operating Shelter” project.
He has worked as contract worker at the Polytechnic University of Bari on the research projects CT_MASMEC_ARONA (2021) and CT_MASMEC_BEVILACQUA_MASMART (2022 and 2023), where he respectively focused on algorithms for segmentation and automatic recognition of vertebrae from Computed Tomography scans and multimodal diagnostic systems based on ultrasound and X-rays.
He has worked as Teaching Assistant at the Polytechnic University of Bari for the course “Bioinformatics and Big Data Analytics”, 6 ECTS, Bachelor’s Degree in Medical Systems in 2020 and for the course “Sistemi per la riabilitazione e la terapia assistita”, 6 ECTS, Master’s Degree in Medical Systems Engineering in 2021.
In September 2020 he received the Master’s Thesis Award “Nearlab” 2020, Politecnico di Milano, during the XXXIX School from Italian National Bioengineering Group (September 6-10, 2020, Bressanone), for his master thesis “Design and Implementation of a Deep Learning-Based Computer-Aided Diagnosis System for Global Glomerulosclerosis Assessment in Kidney Biopsies”.
In September 2020 he was also the Team Leader of the Winning Team in the Datathon organized during the XXXIX School from Italian National Bioengineering Group (September 6-10, 2020, Brixen, Italy).
In September 2022 he was a member of the Winning Team in the Online Contest organized during the Bioengineering National Group (GNB) XLI Annual School, September 12-15, 2022, Brixen, Italy.