Nicola Piovesan
Senior Researcher @Huawei
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WORK HISTORY
Senior Researcher @Huawei
Paris, FR
Leading research on agentic AI architectures for next-generation autonomous networks, integrating multi-agent planning and decision-making capabilities- Driving research on generative AI and LLM applications for network automation, optimization, and intent-driven operations- Designing benchmarking methodologies to evaluate reasoning, planning, and control abilities of LLMs in complex telecom scenarios- Contributing to patents, standardization initiatives, and high-impact publications on AI-driven network operations and sustainable mobile systems.
EDUCATION
Università degli Studi di Padova
Master of Science (MSc), Telecommunication Engineering
Universitat Politècnica de Catalunya
Doctor of Philosophy (PhD), Network Engineering
Università degli Studi di Padova
Bachelor of Science (BSc), Information Engineering
SKILLS
ABOUT NICOLA PIOVESAN
I am a Senior Researcher at Huawei Technologies in Paris, specializing in large-scale network modeling, AI-driven optimization, and green networking. My research focuses on the integration of machine learning, generative AI, and large language models (LLMs) into next-generation telecom systems, with the goal of enabling autonomous, energy-efficient, and intent-based networks.I hold a PhD in Network Engineering from the Polytechnic University of Catalonia (UPC) in Barcelona, as well as a B.Sc. in Information Engineering and an M.Sc. in Telecommunication Engineering from the University of Padova, Italy. I have contributed to multiple industrial and academic projects, authored over 40 research publications and co-invented more than 10 patents, bridging cutting-edge research with real-world product development. My work on AI-driven energy-efficient network operations has been recognized with the Huawei GTS President Award (2021) and the Huawei Quality Star Award (2024).Passionate about transforming advanced AI into scalable solutions, I am actively involved in agentic AI frameworks, LLM training and benchmarking methodologies, and sustainable network architectures, aiming to shape the future of autonomous telecom infrastructures.
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