Staff

Fixed-term assistant professor
Department of Electronics and Telecommunications (DET)

antonio.carlucci@polito.it

Profile

Keywords

Model order reduction

Model order reduction, macromodeling, behavioral modeling, passivity, electromagnetic compatibility, signal integrity, power integrity, transmission lines, numerical modeling, wavelets, time-frequency transforms,

Modeling and simulation, statistical analysis, system identification, machine learning, circuit theory, complex networks and systems, electromagnetic compatibility, signal integrity, multi-energy (gas, electrical)networks.

Biography

Antonio Carlucci received the Master’s Degree in Electronic Engineering in 2021 and the Ph.D. degree in Electrical, Electronic and Communications Engineering in 2025 from Politecnico di Torino. From 2022 to 2025, he contributed to a joint research project between Politecnico di Torino and Intel focused on the development of fast power integrity solvers for multi-core microprocessors. His research activity centers on model order reduction techniques for efficient simulation of electronic circuits and systems including nonlinear effects. These include data-driven as well as model-driven algorithms, specifically designed to accelerate signal and power integrity analyses.

Scientific branch

IIET-01/A - Electrical Engineering
(Area 0009 - Industrial and information engineering)

Research topics

Analytical models of power converters
Data-driven black-box modeling of linear and nonlinear electronic systems. This activity is focused on developing identification algorithms to build robust and compact numerical models starting from input-output responses.
Model Order Reduction for Electronic Systems. Model order reduction (MOR) consists in mathematical techniques used to simplify large-scale dynamical models of electronic circuits or electromagnetic devices while accurately reproducing their input-output response. Low-complexity models obtained from MOR can significantly accelerate system-level numerical simulations which are fundamental for performance evaluation and verification. The methods developed in this activity are mainly tailored for system-level power integrity and signal integrity analyses.
Numerical methods for fast simulation of large-scale electronic systems, with particular focus on parallel algorithms for system-level Power Delivery Networks

Skills

SDG

Goal 9: Industry, Innovation, and Infrastructure

Teaching

Collegi of the degree programmes

Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato

Teachings

Master of Science

Circuits and electrical engineering and Electronic systems (modulo di Circuits and Electrical Engineering). A.A. 2025/26, AGRITECH ENGINEERING. Collaboratore del corso
Signal and power integrity. A.A. 2025/26, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
Advanced design for signal integrity and compliance. A.A. 2024/25, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
Advanced design for signal integrity and compliance. A.A. 2023/24, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso
Advanced design for signal integrity and compliance. A.A. 2022/23, NANOTECHNOLOGIES FOR ICTs (NANOTECNOLOGIE PER LE ICT). Collaboratore del corso

MostraNascondi A.A. passati

Bachelor of Science

Elettrotecnica. A.A. 2025/26, INGEGNERIA FISICA. Collaboratore del corso
Elettrotecnica. A.A. 2024/25, INGEGNERIA FISICA. Collaboratore del corso
Elettrotecnica. A.A. 2024/25, INGEGNERIA ELETTRONICA. Collaboratore del corso