Department of Information Engineering, Electronics and Telecommunications – “Sapienza” University of Rome, Rome, Italy – antonello.rizzi@uniroma1.it

Antonello Rizzi (M'99-SM'17) since July 2010 has been with the Department of Information Engineering, Electronics and Telecommunications (DIET), ``Sapienza" University of Rome as an Assistant Professor. Currently, he serves as an Associate Professor at DIET. Since 2008, he is the scientific coordinator and R\&D technical director in the Intelligent Systems Laboratory within the Research Center for Sustainable Mobility of Lazio region, Italy. His major research interests are in computational intelligence and pattern recognition, including supervised and unsupervised machine learning techniques, neural networks, fuzzy systems, and evolutionary algorithms, with application in smart grids and microgrids modeling and control, intelligent systems for sustainable mobility, battery management systems. His research activity concerns the design of automatic modeling systems, focusing on classification, clustering, function approximation, and prediction problems. He is currently working on smart grids and microgrids modeling and control, intelligent systems for sustainable mobility, battery management systems, granular computing, data mining and knowledge discovery, computational biology, machine learning in non-metric spaces, graph and sequence matching, agent-based clustering, parallel and distributed computing.

Department of Information Engineering, Electronics and Telecommunications – “Sapienza” University of Rome, Rome, Italy – enrico.desantis@uniroma1.it

Enrico De Santis (Member, IEEE) received the M.A.Sc. (Hons.) and the Ph.D. degrees in Information and Communication engineering from "Sapienza" University of Rome (Italy) and worked as an assistant researcher and successively as a postdoc with the Department of Computer Science at Toronto Metropolitan University (Toronto, Canada). Currently, he holds a researcher position with the Department of Information Engineering, Electronics and Telecommunications (DIET) at "Sapienza". His research interests include artificial intelligence, complex systems and data-driven modeling, natural language processing, computational intelligence, neural networks and fuzzy systems with application in smart grids and predictive maintenance. Since 2017, he has joined an innovative startup at "Sapienza" University as CTO, dealing with the management of Artificial Intelligence projects in production environments.

Department of Information Engineering, Electronics and Telecommunications – “Sapienza” University of Rome, Rome, Italy – danial.zendehdel@uniroma1.it

Danial Zendehdel is deeply engaged in deep learning projects, primarily as a Ph.D. student at CIPARLab at the Sapienza University of Rome, Department of Information Engineering, Electronic and Telecommunications (DIET). Danial's main focus is on developing an Energy Management System (EMS) alongside my colleagues, encompassing all aspects of an EMS related to the green energy transition and PNRR with a focus on Renewable energy Communities (CER). Our approaches leverage evolutionary algorithms, such as Genetic Algorithms, which we integrate with neural networks or fuzzy systems to enhance the system's efficiency and effectiveness. 

Danial's interests also span computer vision projects, including trajectory and depth estimation, as well as other projects related to autonomous vehicles. Beyond these areas, I have a keen interest in the field of cybersecurity. I have extensive experience working on projects utilizing a variety of programming languages, including Python, MATLAB, C, and C++.