About the speaker
Dr. Marco Skocaj received his Master's and Ph.D. degrees in Telecommunications Engineering from the Department of Electronic, Information, and Electrical Engineering at the University of Bologna in 2020 and 2024, respectively. Since 2021, he is the chair of the HA1 (Datasets) working group in COST Action 20120 INTERACT. In 2022, he has been a visiting Ph.D. Researcher at the University of Ottawa. Since 2024, he joined the Advanced Wireless Technology Laboratory of Huawei Munich Research Center as a Senior Research Engineer. His research interests include Radio Resource Management, Machine Learning, Distributed Learning, Autonomous Networks, and Optimization.
Abstract
As wireless communication systems grow in complexity and scale, Artificial Intelligence (AI) is emerging as a transformative force—reshaping how networks are designed, optimized, and managed. As we enter the era of "mobile for intelligence," this research-focused seminar explores the growing synergy between Artificial Intelligence and wireless communication systems. Following a brief, accessible primer on machine learning—designed for students with no prior background—we will examine two key perspectives: how AI is enabling smarter, more adaptive wireless networks (AI for Wireless), and how next-generation wireless technologies are poised to power the next wave of intelligent, connected systems (Wireless for AI). The seminar highlights two active research areas: autonomous network optimization as a use case of AI for Wireless, and wireless federated learning as a case of Wireless for AI. We conclude with a forward-looking view into industrial efforts, focusing on how AI is influencing the development of 6G within the 3GPP standardization process.