Dr. Gerardo Amato, Mechatronics Engineering, Best Researcher Award
Doctorate at Teoresi Group S.p.A., Italy
Gerardo Amato is an Italian Electronic Engineer and Ph.D. in Electronic Engineering with expertise in vehicle control software and advanced R&D. Currently employed as an Expert Vehicle Control Software Engineer at Teoresi Group S.p.A. and a Software Engineering Consultant at Brembo S.p.A. He has a solid background in adaptive slip vectoring control for electric vehicles with four in-wheel motors.
Author Metrics:
Gerardo’s research has garnered attention, evident from his author metrics. His publications have been cited in influential journals, and he has an ORCID iD to establish his scholarly identity. Gerardo’s work reflects a commitment to advancing the field of electronic engineering.
- Citations: 32
- Documents: 23
- h-index: 4
Citations: Gerardo’s work has been cited 32 times in various documents, indicating the impact and relevance of his research.
Documents: He has authored 8 documents, showcasing a substantial contribution to the academic literature.
h-index: With an h-index of 4, Gerardo has demonstrated a consistent impact, as at least four of his publications have been cited at least four times each.
Education:
Gerardo holds a Ph.D. in Electronic Engineering from the University of Rome Tor Vergata, specializing in adaptive and reconfigurable slip vectoring control in electric vehicles. He completed his Master’s degree in Electronic Engineering with honors and a focus on nonlinear controls, robotics, and industrial automation.
Research Focus:
His research revolves around the development of adaptive slip vectoring control systems for electric vehicles, particularly those equipped with four in-wheel motors. Gerardo’s work spans fault-tolerant distributed control architectures, adaptive noise cancellation, and advanced control strategies for flexible rotor systems.
Professional Journey:
With an employment history spanning from research fellowships at Technical University of Madrid to his current roles at Teoresi Group and Brembo S.p.A., Gerardo has been actively involved in software development, vehicle dynamics control algorithms, and virtual co-simulation. He is a recognized expert in the field of vehicle control systems and platform design.
Honors & Awards:
Gerardo’s academic achievements include graduating with honors in both his Master’s and Ph.D. degrees. He has also been actively involved in technology transfer, collaborating with the R&D branch of Formula Student Team and contributing to the development of electric Formula SAE vehicles.
Publications Top Noted & Contributions:
Gerardo has made significant contributions to the field, with publications in reputable journals and conferences. His research papers cover topics such as adaptive slip vectoring, monitoring strategies for PI slip control, and adaptive rejection of sinusoidal disturbances in flexible rotors. He has presented his work at various national and international conferences.
- Journal: Control Engineering Practice
- Publication Date: June 2023
- DOI: 10.1016/j.conengprac.2023.105511
- Contributors: Gerardo Amato; Riccardo Marino
- Journal: Mathematics
- Publication Date: May 16, 2022
- DOI: 10.3390/math10101703
- Contributors: Gerardo Amato; Roberto D’Amato; Alessandro Ruggiero
Title: Reconfigurable Slip Vectoring Control in Four In-Wheel Drive Electric Vehicles
- Journal: Actuators
- Publication Date: July 10, 2021
- DOI: 10.3390/act10070157
- Contributors: Gerardo Amato
- Journal: IEEE/ASME Transactions on Mechatronics (Early Access)
- Publication Date: April 5, 2021
- DOI: 10.1109/TMECH.2021.3070890
- ISSN: 1083-4435
- Contributors: Gerardo Amato
- Conference: 2020 28th Mediterranean Conference on Control and Automation (MED)
- Publication Date: September 1, 2020
- DOI: 10.1109/MED48518.2020.9183067
- ISSN: 2473-3504
Research Timeline:
Starting as a Ph.D. fellow in Electronic Engineering, Gerardo’s research timeline spans from 2018 to the present. His work has evolved from adaptive slip vectoring in electric vehicles to fault-tolerant control architectures and noise cancellation strategies for flexible rotor systems. His engagement in various conferences and seminars showcases a continuous dedication to advancing electronic engineering research.