Nicolo' Bellarmino

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 37th cycle (2021-2024)
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

AI, Data Analysis and Machine Learning in MicroController Performance Screening

Tutors

Research interests

Computer graphics and Multimedia
Cybersecurity
Life sciences

Biography

Nicolo' Bellarmino is a PhD Student in Computer and Control Engineering at Politecnico di Torino. He received the MS degree in Computer Engineering (Automation and Intelligent Cyber-Physical Systems) from Politecnico di Torino in 2021. His main interests are Data Analysis, Machine Learning and AI applied to industrial fields, such as (but not limited to) IC device testing and reliability and Healthcare. He is an inducted member of IEEE-HKN.

Teaching

Teachings

Bachelor of Science

MostraNascondi A.A. passati

Research

Research groups

Publications

Latest publications View all publications in Porto@Iris

  • Bellarmino, Nicolo'; Cantoro, Riccardo; Castelluzzo, Michele; Correale, Raffaele; ... (In stampa)
    COVID-19 Detection from Exhaled Breath. In: SCIENTIFIC REPORTS. ISSN 2045-2322
    Contributo su Rivista
  • Yuan, Sicong; Wang, Changhao; Fieback, Moritz; Xun, Hanzhi; Taouil, Mottaqiallah; Li, ... (In stampa)
    Device-Aware Test for Anomalous Charge Trapping in FeFETs. In: 30th Asia and South Pacific Design Automation Conference ASP-DAC 2025, Tokyo Odaiba Miraikan, Japan, Jan. 20-23, 2025
    Contributo in Atti di Convegno (Proceeding)
  • Bellarmino, Nicolo'; Cantoro, Riccardo; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; ... (In stampa)
    Embedded Feature Selection in MCU Performance Screening. In: IEEE 2nd International conference on Design, Test & Technology of Integrated Systems, Aix-en-Provence (FRA), October 14th -16th 2024
    Contributo in Atti di Convegno (Proceeding)
  • Bellarmino, Nicolo; Bosio, Alberto; Cantoro, Riccardo; Ruospo, Annachiara; Sanchez, ... (In stampa)
    Investigating on Gradient Regularization for Testing Neural Networks. In: 10th International Conference on machine Learning, Optimization and Data science (LOD 2024), Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto), Tuscany, Italy, September 22 – 25, 2024. ISSN 0302-9743
    Contributo in Atti di Convegno (Proceeding)
  • Bellarmino, Nicolò; Cantoro, Riccardo; Huch, Martin; Kilian, Tobias; Schlichtmann, Ulf; ... (2024)
    Deep Learning Strategies for Labeling and Accuracy Optimization in Microcontroller Performance Screening. In: IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, pp. 1-1. ISSN 0278-0070
    Contributo su Rivista