Ethan Sánchez Hidalgo
Ethan Sánchez Hidalgo is a Marie Skłodowska-Curie Actions (MSCA) Doctoral Candidate affiliated with IBM and Trinity College Dublin as part of the 6G-TERRAIN initiative. His primary research focuses on the design and implementation of agentic AI frameworks for self-configurable, next-generation 6G networks.
Ethan brings a strong foundational background in advanced mathematics and quantum physics to his networking research. He holds a Bachelor’s degree in Mathematics from the Autonomous University of Barcelona (UAB), and a Master’s degree in Quantum Science and Technology from the University of Barcelona (UB).
Prior to joining the 6G-TERRAIN project, Ethan served as a Research Scientist at the i2CAT Foundation, where he specialized in AI-native 6G systems, Machine Learning, and Quantum Communications. During his tenure, he developed ML-driven network orchestration frameworks for virtualized RANs. His professional experience also includes developing Multi-Agent Reinforcement Learning algorithms as a Research Intern at NEC Laboratories Europe, as well as teaching Database Systems as an Assistant Professor at UAB.
He has contributed to the field through publications like IEEE Transactions on Mobile Computing and was honored to receive the Best Paper Award at ICMLCN 2024 for his research on vRAN memory optimization. Within 6G-TERRAIN, Ethan is focused on exploring AI-driven approaches to help build more autonomous and efficient 6G networks.
