
Andrea BALLO
Keywords
1. Electronic systems for the energy harvesting on IoT devices
2. Circuit theory and analog design
3. Carbon nanostructures-based sensors for detection of Arginasi
4. CMOS temperature sensors
Andrea Ballo was born in Catania on May 22, 1990. The highlights of his career are chronologically and succinctly given below.
From 2023, two years in a row, he has been included in the single-year list of the top 2% scientists by Stanford Elsevier.
In June 2023 he obtained the national scientific qualification for the position of Associate Professor, sector 09/E3 - Electronics.
He continues to hold the position of lecturer of the course of "Electronic Devices" at the Bachelor’s Degree Course in Electronic Engineering of the University of Catania and has been a lecturer of the courses of "Integrated Power Electronics" for the Master's Degree Course in Electronic Engineering (A.Y. 2024/25) and of "Electronics" for the Master's Degree Course in Electrical Engineering for Sustainable Green Energy Transition (A.Y. 2022/23) of the University of Catania.
Since January 2022 he has held the position of fixed-term researcher type A (RTDA), equivalent to the position of Assistant Professor, as part of the action plan IV.6 (Green issues), title of the project "New enabling technologies for very high efficiency photovoltaic modules", sector 09/E3 "Electronics", scientific disciplinary sector ING-INF/01 "Electronics", of which Prof. Alfio Dario Grasso is the Scientific Coordinator.
In July 2021 he was awarded the prize for the best Ph.D. thesis 2020 in the field of electronic engineering (Ph.D. Thesis Award) by the Italian Society of Electronics (SIE).
From March to December 2021 he has held the position of adjunct professor of the course of "Electronic Devices" at the Bachelor’s Degree Course in Electronic Engineering of the University of Catania.
From March to December 2021, he held the position of research fellow within the project "Ultrasound-based power harvesting and communication", competition sector 09/E3 "Electronics", scientific disciplinary sector ING-INF/01 "Electronics", of which Prof. Alfio Dario Grasso is the Scientific Coordinator.
During the four-year period 2017-2021, he carried out the qualified tutoring activity for the teaching of "Electronics" in the three-year degree courses in Electronic Engineering and Computer Engineering of the University of Catania.
In February 2021, he obtained his Ph.D. in Systems, Energy, Computer Science and Telecommunications Engineering with additional certification as an International Doctor.
In 2019, as part of the Ph.D. activity, he carried out a research period abroad (4 months) at the IC design lab of the University of Shizuoka (Japan).
From November 2017 to October 2020, he was a Ph.D. student in Systems, Energy, Computer Science and Telecommunications Engineering under the supervision of prof. Alfio Dario Grasso.
In 2017, he worked as technical manager of Vibatech s.a.s., a small company operating in the field of Electronic Engineering and Industrial Automation.
In 2016 he obtained the qualification to practice the profession and from the following year he has been enrolled in the Order of Engineers of the province of Catania.
In 2016 he carried out an internship and thesis at the Institute for Microelectronics and Microsystems (IMM-CNR) and obtained a Master's Degree in Electronic Engineering with marks cum laude at the University of Catania.
In 2013 he carried out an internship and thesis at the Institute for Microelectronics and Microsystems (IMM-CNR) and obtained a Bachelor's Degree in Electronic Engineering with marks 107/110 at the University of Catania.
Updated in 07/2025
He is author of 49 publications on international journals, and 22 conference proceedings. Presently, his H-index is equal to 15 and he is cited by 737 (by Scopus, 07/2025).
His research activities are mainly focused on microelectronics and electronic systems, in particular:
1. Electronic systems for the energy harvesting on IoT devices
2. Circuit theory and analog design
3. Carbon nanostructures-based sensors for detection of Arginasi
4. CMOS temperature sensors