Research Fellow
Capsule Bio
Giulia Tanoni received the M.Sc. degree cum laude in Biomedical Engineering in 2020 from Università Politecnica delle Marche, Ancona, Italy. In 2020 she undertook the Ph.D. degree in Information Engineering, accomplished in 2024 with excellent judgment and laude, with the Department of Information Engineering at Università Politecnica delle Marche, Ancona, Italy. In 2022, she was a visiting PhD Student with the Department of Electronic & Electrical Engineering of the University of Strathclyde in Glasgow, Scotland, under the supervision of Prof. Vladimir Stankovic to develop strategies based on edge computing and explainable artificial intelligence for non-intrusive load monitoring.
During her PhD, she has been a member of the program committee for the International Annual Conference on Complex Systems and Intelligent Science (CSIS-IAC 2023), the IEEE World Congress on Computational Intelligence (WCCI 2024) and the International Conference on Applied Intelligence (ICAI 2024). She presented her research works at important international conferences such as the European Signal Processing Conference (Belgrade, Serbia, 2024), the Applied Intelligence and Informatics (Reggio Calabria, Italy, 2022), and the IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (Glasgow, Scotland, 2023).
She was the main organizer of the accepted special session at the IEEE World Congress on Computational Intelligence (Yokohama, Japan, 2024) titled “Computational Intelligence Techniques for Observable Smart Grid and Sustainable Energy Systems”, receiving a significant number of papers. She also served as chair of the session called “Machine Learning: Supervised 1” at the IEEE World Congress on Computational Intelligence (Yokohama, Japan, 2024).
She is a member of the IEEE Communication Society and IEEE Young Professionals and since 2023 a member of the IEEE CIS Task Force on ’Computational Intelligence in the Energy Domain’ (CI4E) of the IEEE Computational Intelligence Society. She has also supervised many degree theses for students in the field of smart grids and consumption monitoring and analysis systems.
Since February 2024, she has been a Postdoctoral Research Fellow at Università Politecnica delle Marche, Ancona, Italy, for the project titled “Study and development of computational intelligence techniques for Smart Energy Systems” in collaboration with MAC srl.
Research Areas:
Her research interests concern the design of advanced edge-centric non-intrusive load monitoring algorithms based on computational intelligence techniques such as artificial intelligence and machine learning algorithms. In particular, Giulia Tanoni is active in the research of innovative learning methods to create deep learning approaches that meet sustainability requirements and users’ necessity. She also develops strategies for power signal processing, analysis, and management including methodologies such as neural networks and deep learning methods for observable smart energy systems.
