Summary
Nicola Piovesan is a Senior Researcher at Huawei Paris with 14 years of experience specializing in AI-driven optimization, large-scale network modeling, and green networking for next-generation telecom systems. Holding a PhD in Network Engineering from UPC and advanced degrees from the University of Padova, he bridges rigorous academic research with product-focused innovation, authoring 40+ publications and co-inventing over 10 patents. Nicola leads work on agentic AI architectures, LLM benchmarking, and generative AI applications that enable intent-based, autonomous, and energy-efficient network operations. His prior projects include novel spatio-temporal GNN forecasting for power estimation and RL-driven energy routing across smart grids and small cells. Recognized by Huawei with the GTS President Award and Quality Star Award, he is also an MSCA fellow and IEEE member who actively shapes standardization and sustainable network design. Notably, he pairs deep theoretical expertise with hands-on benchmarking methodologies to assess LLM reasoning and control in realistic telecom scenarios.
14 years of coding experience
6 years of employment as a software developer
Master of Science (MSc), Telecommunication Engineering, Master of Science (MSc), Telecommunication Engineering at Università degli Studi di Padova
UPC Universitat Politècnica de Catalunya
Italian, English, Spanish, French